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179 results on '"Shaheen AA"'

1. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Brauer, M, Roth, GA, Aravkin, AY, Zheng, P, Abate, KH, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasi, MA, Abbasian, M, Abbasifard, M, Moradi, Y, Bensenor, IM, Benzian, H, Beran, A, Abouzid, M, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Moraga, P, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Aboye, GB, Bhat, AN, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Morawska, L, Bhatti, R, Bhuiyan, MA, Bhutta, ZA, Bikbov, B, Bishai, JD, Abreu, LG, Bisignano, C, Biswas, A, Biswas, B, Biswas, RK, Moreira, RS, Bjørge, T, Boachie, MK, Boakye, H, Bockarie, MJ, Bodolica, V, Bodunrin, AO, Abualruz, H, Bogale, EK, Bolla, SR, Boloor, A, Morovatdar, N, Bonakdar Hashemi, M, Boppana, SH, Bora Basara, B, Borhany, H, Botero Carvajal, A, Bouaoud, S, Boufous, S, Abubakar, B, Bourne, R, Boxe, C, Morrison, SD, Braithwaite, D, Brant, LC, Brar, A, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Britton, G, Abu-Gharbieh, E, Brown, CS, Morze, J, Browne, AJ, Brunoni, AR, Bryazka, D, Bulamu, NB, Bulto, LN, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Abukhadijah, HJJ, Mosaddeghi Heris, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Cagney, J, Cahuana-Hurtado, L, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Mossialos, E, Aburuz, S, Cao, C, Cao, F, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Motappa, R, Carvalho, F, Abu-Zaid, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Caye, A, Alemayohu, MA, Ali, BA, Cederroth, CR, Cegolon, L, Adane, MM, Cenderadewi, M, Cercy, KM, Cerin, E, Chadwick, J, Chakraborty, C, Chakraborty, PA, Chakraborty, S, Mougin, V, Chan, JSK, Chan, RNC, Chandan, JS, Addo, IY, Chandika, RM, Chaturvedi, P, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Mousavi, P, Chen, M, Chen, S, Cheng, C-Y, Cheng, ETW, Addolorato, G, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Msherghi, A, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Adedoyin, RA, Chopra, H, Chowdhury, R, Christopher, DJ, Chu, D-T, Mubarik, S, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cioffi, I, Cogen, RM, Adekanmbi, V, Cohen, AJ, Columbus, A, Conde, J, Muccioli, L, Corlateanu, A, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Criqui, MH, Cruz, JA, Aden, B, Cruz-Martins, N, Culbreth, GT, Mueller, UO, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Daikwo, PU, Dalli, LL, Damiani, G, D'Amico, E, Adetunji, JB, D'Anna, L, Mulita, F, Darwesh, AM, Das, JK, Das, S, Dash, NR, Dashti, M, Dávila-Cervantes, CA, Davis Weaver, N, Davitoiu, DV, De la Hoz, FP, Adeyeoluwa, TE, Mullany, EC, de la Torre-Luque, A, De Leo, D, Debopadhaya, S, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Delgado-Saborit, JM, Demoze, CK, Denova-Gutiérrez, E, Dervenis, N, Munjal, K, Adha, R, Dervišević, E, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhane, AS, Dhimal, ML, Marx, W, Murillo-Zamora, E, Dhimal, M, Adibi, A, Dhingra, S, Dhulipala, VR, Dhungana, RR, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Abbasi-Kangevari, M, Ding, DD, Dinu, M, Adnani, QES, Djalalinia, S, Do, TC, Do, THP, do Prado, CB, Dodangeh, M, Dohare, S, Dokova, KG, Ali, I, Dong, W, Dongarwar, D, D'Oria, M, Adzigbli, LA, Dorostkar, F, Dorsey, ER, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Murlimanju, BV, Dsouza, AC, Dsouza, HL, Dumith, SC, Duncan, BB, Afolabi, AA, Duraes, AR, Duraisamy, S, Dushpanova, A, Dzianach, PA, Dziedzic, AM, Musina, A-M, Ebrahimi, A, Echieh, CP, Ed-Dra, A, Edinur, HA, Edvardsson, D, Afolabi, RF, Edvardsson, K, Efendi, F, Eftekharimehrabad, A, Eini, E, Mustafa, G, Ekholuenetale, M, Ekundayo, TC, El Arab, RA, El Sayed Zaki, M, El-Dahiyat, F, Elemam, NM, Afshin, A, Elgar, FJ, ElGohary, GMT, Elhabashy, HR, Muthu, S, Elhadi, M, Elmehrath, AO, Elmeligy, OAA, Elshaer, M, Elsohaby, I, Emeto, TI, Esfandiari, N, Afyouni, S, Eshrati, B, Eslami, M, Muthupandian, S, Esmaeili, SV, Estep, K, Etaee, F, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Fahimi, S, Falzone, L, Afzal, MS, Fareed, M, Muthusamy, R, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasina, FO, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Afzal, S, Muzaffar, M, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrara, P, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Maryam, S, Myung, W, Agampodi, SB, Fitriana, I, Flavel, J, Flohr, C, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Nafei, A, Foschi, M, Agbozo, F, Franklin, RC, Freitas, A, Friedman, SD, Fux, B, G, S, Gaal, PA, Gaihre, S, Gajdács, M, Nagarajan, AJ, Galali, Y, Gallus, S, Aghamiri, S, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia, V, Gardner, WM, Garg, RK, Gautam, RK, Ali, L, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Agodi, A, Gebremariam, TBB, Gebremeskel, TG, Gerema, U, Getacher, L, Getahun, GKA, Getie, M, Nagaraju, SP, Ghadirian, F, Ghafarian, S, Ghaffari Jolfayi, A, Ghailan, KY, Agrawal, A, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghassemi, F, Nagel, G, Ghazy, RM, Gholami, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Agyemang-Duah, W, Gil, AU, Gil, GF, Gilbertson, NM, Gill, PS, Naghavi, M, Gill, TK, Gindaba, EZ, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Ahinkorah, BO, Godinho, MA, Goel, A, Golechha, M, Naghavi, P, Goleij, P, Golinelli, D, Gomes, NGM, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Ahmad, A, Gouravani, M, Goyal, A, Naik, GR, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Guha, A, Guicciardi, S, Ahmad, D, Gulati, S, Naik, G, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, B, Gupta, M, Gupta, R, Gupta, RD, Ahmad, F, Mathangasinghe, Y, Nainu, F, Gupta, S, Gupta, VB, Gupta, VK, Habibzadeh, F, Habibzadeh, P, Hadaro, TS, Hadian, Z, Haep, N, Haghi-Aminjan, H, Nair, TS, Ahmad, N, Haghmorad, D, Hagins, H, Haile, D, Hailu, A, Hajj Ali, A, Halboub, ES, Halimi, A, Hall, BJ, Haller, S, Najdaghi, S, Halwani, R, Ahmad, S, Hamadeh, RR, Hamdy, NM, Hameed, S, Hamidi, S, Hammoud, A, Hanif, A, Hanifi, N, Haq, ZA, Nakhostin Ansari, N, Haque, MR, Harapan, H, Ahmad, T, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MJ, Hasan, SMM, Hasani, H, Ali, MU, Hasanian, M, Hashmeh, N, Hasnain, MS, Ahmed, A, Hassan, A, Hassan, I, Hassan Zadeh Tabatabaei, MS, Hassani, S, Hassanipour, S, Hassankhani, H, Nanavaty, DP, Haubold, J, Havmoeller, RJ, Hay, SI, Hebert, JJ, Hegazi, OE, Hegena, TY, Heidari, G, Heidari, M, Helfer, B, Nangia, V, Hemmati, M, Henson, CA, Herbert, ME, Herteliu, C, Heuer, A, Hezam, K, Hinneh, TK, Hiraike, Y, Hoan, NQ, Narasimha Swamy, S, Holla, R, Hon, J, Hoque, ME, Horita, N, Hossain, S, Hosseini, SE, Ahmed, LA, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Narimani Davani, D, Hostiuc, S, Hoven, H, Hsairi, M, Hsu, JM, Hu, C, Huang, J, Huda, MN, Ahmed, MB, Hulland, EN, Hultström, M, Nascimento, BR, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Ibitoye, SE, Idowu, OO, Ihler, AL, Ahmed, S, Ikeda, N, Mathioudakis, AG, Nascimento, GG, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inbaraj, LR, Irham, LM, Isa, MA, Ahmed, SA, Nashwan, AJ, Islam, MR, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iwu-Jaja, CJ, J, V, Jaafari, J, Natto, ZS, Ajami, M, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Nauman, J, Jaiswal, A, Akalu, GT, Jakovljevic, M, Jalilzadeh Yengejeh, R, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jeganathan, J, Navaratna, SNK, Jeswani, BM, Jiang, H, Akara, EM, Johnson, CO, Jokar, M, Jomehzadeh, N, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Ali, R, Joshi, V, Joshua, CE, Jozwiak, JJ, Akbarialiabad, H, Jürisson, M, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kahn, EM, Naveed, M, Kalani, R, Kaliyadan, F, Kalra, S, Kamath, R, Akhlaghi, S, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmiki, EW, Kanmodi, KK, Nayak, BP, Kansal, SK, Kapner, DJ, Kapoor, N, Karagiannidis, E, Karajizadeh, M, Akinosoglou, K, Karakasis, P, Karanth, SD, Karaye, IM, Karch, A, Nayak, VC, Karim, A, Karimi, H, Karmakar, S, Kashoo, FZ, Kasraei, H, Kassahun, WD, Akinyemiju, T, Kassebaum, NJ, Kassel, MB, Katikireddi, SV, Ndejjo, R, Kauppila, JH, Kawakami, N, Kaydi, N, Kayode, GA, Kazemi, F, Keiyoro, PN, Kemmer, L, Akkaif, MA, Kempen, JH, Kerr, JA, Matozinhos, FP, Nduaguba, SO, Kesse-Guyot, E, Khader, YS, Khafaie, MA, Khajuria, H, Khalaji, A, Khalil, M, Khalilian, A, Khamesipour, F, Akkala, S, Khan, A, Negash, H, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Akombi-Inyang, B, Negoi, I, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Khosla, AA, Khosrowjerdi, M, Khreis, H, Khusun, H, Negoi, RI, Al Awaidy, S, Kifle, ZD, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Nejadghaderi, SA, Koh, DSQ, Al Hasan, SM, Kolahi, A-A, Kompani, F, Kong, J, Koren, G, Korja, M, Korshunov, VA, Korzh, O, Kosen, S, Nejjari, C, Kothari, N, Koul, PA, Alahdab, F, Koulmane Laxminarayana, SL, Krishan, K, Krishnamoorthy, V, Krishnamoorthy, Y, Krishnan, B, Krohn, KJ, Kuate Defo, B, Ali, SSS, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, AL-Ahdal, TMA, Kugbey, N, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, N, Nematollahi, MH, Kumar, V, Kundu, S, Kurmi, OP, Kusnali, A, Alalalmeh, SO, Kusuma, D, Kutluk, T, La Vecchia, C, Ladan, MA, Laflamme, L, Nepal, S, Lahariya, C, Lai, DTC, Lal, DK, Lallukka, T, Lám, J, Alalwan, TA, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Neupane, S, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Al-Aly, Z, Lauriola, P, Le, H-H, Le, LKD, Mattumpuram, J, Ng, M, Le, NHH, Le, TTT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, SW, Alam, K, Lee, SWH, Lee, YH, Nguefack-Tsague, G, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Lescinsky, H, Leung, J, Li, M-C, Li, W-Z, Alam, N, Li, W, Ngunjiri, JW, Li, Y, Li, Z, Ligade, VS, Lim, L-L, Lim, SS, Lin, R-T, Lin, S, Liu, C, Liu, G, Alanezi, FM, Nguyen, DH, Liu, J, Liu, RT, Liu, S, Liu, W, Liu, X, Livingstone, KM, Llanaj, E, Lohiya, A, Nguyen, NNY, Alanzi, TM, López-Bueno, R, Lopukhov, PD, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, lv, H, Nguyen, PT, M Amin, HI, Albakri, A, Ma, ZF, Maass, KL, Mabrok, M, Machairas, N, Machoy, M, Mafhoumi, A, Magdy Abd El Razek, M, Maghazachi, AA, Mahadeshwara Prasad, DR, Maharaj, SB, AlBataineh, MT, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makram, OM, Makris, KC, Malasala, S, Maled, V, Ali, W, Malhotra, K, Malik, AA, Malik, I, Aldhaleei, WA, Malinga, LA, Malta, DC, Mamun, AA, Manda, AL, Manla, Y, Mansour, A, Nguyen, VT, Mansouri, B, Mansouri, P, Mansourian, M, Mansournia, MA, Aldridge, RW, Mantovani, LG, Manu, E, Marateb, HR, Maravilla, JC, Marsh, E, Nguyen Tran Minh, D, Martinez, G, Martinez-Piedra, R, Martini, S, Martins-Melo, FR, Martorell, M, Maugeri, A, Niazi, RK, Nicholson, SI, Nie, J, Nikoobar, A, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Noman, EA, Alicandro, G, Nomura, S, Maulik, PK, Noroozi, N, Norrving, B, Noubiap, JJ, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nunemo, MH, Nurrika, D, Nutor, JJ, Alif, SM, Mayeli, M, Oancea, B, O'Connell, EM, Odetokun, IA, O'Donnell, MJ, Oduro, MS, Ogunfowokan, AA, Ogunkoya, A, Oh, I-H, Okati-Aliabad, H, Okeke, SR, Mazidi, M, Aljunid, SM, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, AB, Oliveira, GMM, Olorukooba, AA, Olufadewa, II, Alemu, YM, Olusanya, BO, Alla, F, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omar Bali, A, Omer, GL, Ong, KL, Ong, S, Onwujekwe, OE, Mazzotti, A, Onyedibe, KI, Oppong, AF, Abd ElHafeez, S, Al-Marwani, S, Ordak, M, Orish, VN, Ornello, R, Orpana, HM, Ortiz, A, Ortiz-Prado, E, McGrath, JJ, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Al-Mekhlafi, HM, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, IT, McKee, M, Oyeyemi, OT, P A, MP, Pacheco-Barrios, K, Padron-Monedero, A, Padubidri, JR, Almustanyir, S, Pal, PK, Palicz, T, Pan, F, Pan, H-F, McKowen, ALW, Pana, A, Panda, SK, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Alomari, MA, Pantazopoulos, I, Pantea Stoian, AM, Papadopoulou, P, McLaughlin, SA, Parent, MC, Parija, PP, Parikh, RR, Park, S, Parsons, N, Pashaei, A, Alonso, J, Pasovic, M, Passera, R, McPhail, MA, Patil, S, Patoulias, D, Patthipati, VS, Paudel, U, Pawar, S, Pazoki Toroudi, H, Peden, AE, Pedersini, P, Alqahtani, JS, Peng, M, McPhail, SM, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Peres, MFP, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Alqutaibi, AY, Mechili, EA, Petcu, I-R, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pickering, BV, Pierannunzio, D, Pigeolet, M, Pigott, DM, Piracha, ZZ, Mehmood, A, Al-Raddadi, RM, Piradov, MA, Pisoni, E, Piyasena, MP, Plass, D, Plotnikov, E, Poddighe, D, Polkinghorne, KR, Poluru, R, Pond, CD, Mehmood, K, Popovic, DS, Alrawashdeh, A, Porru, F, Postma, MJ, Poudel, GR, Pour-Rashidi, A, Pourshams, A, Pourtaheri, N, Prabhu, D, Prada, SI, Al-Fatly, B, Pradhan, J, Pradhan, PMS, Al-Rifai, RH, Prasad, M, Prates, EJS, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Mehrabani-Zeinabad, K, Qazi, AS, Qian, G, Qiu, S, Abd-Elsalam, S, Alrousan, SM, Rabiee Rad, M, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Mehrabi Nasab, E, Rafferty, Q, Rafiei, A, Raggi, A, Raghav, PR, Raheem, N, Al-Sabah, SK, Rahim, F, Rahim, MJ, Rahimifard, M, Rahimi-Movaghar, V, Meier, T, Rahman, MO, Rahman, MA, Rahmani, AM, Rahmani, B, Rahmanian, M, Rahmanian, N, Alshahrani, NZ, Rahmanian, V, Rahmati, M, Rahmawaty, S, Mejia-Rodriguez, F, Raimondo, D, Rajaa, S, Rajendran, V, Rajput, P, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Altaany, Z, Ramazanu, S, Ramteke, PW, Mekene Meto, T, Rana, J, Rana, K, Ranabhat, CL, Rane, A, Rani, U, Ranta, A, Rao, CR, Rao, M, Altaf, A, Rao, PC, Mekonnen, BD, Rao, SJ, Rasella, D, Rashedi, S, Rashedi, V, Rashidi, M, Rashidi, M-M, Rasouli-Saravani, A, Ratan, ZA, Rathnaiah Babu, G, Al-Tawfiq, JA, Menezes, RG, Rauniyar, SK, Rautalin, I, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Razo, C, Reda, ZFF, Reddy, MMRK, Redwan, EMM, Reifels, L, Mengist, B, Altirkawi, KA, Reitsma, MB, Remuzzi, G, Reshmi, B, Resnikoff, S, Restaino, S, Reyes, LF, Rezaei, M, Rezaei, N, Mensah, GA, Rezaeian, M, Aluh, DO, Rhee, TG, Riaz, MA, Ribeiro, ALP, Rickard, J, Robinson-Oden, HE, Rodrigues, CF, Rodrigues, M, Rodriguez, JAB, Mensah, LG, Roever, L, Romadlon, DS, Alvis-Guzman, N, Ronfani, L, Rosauer, JJ, Roshandel, G, Rostamian, M, Rotimi, K, Rout, HS, Roy, B, Al-Gheethi, AAS, Roy, N, Rubagotti, E, Ruela, GDA, Alvis-Zakzuk, NJ, Rumisha, SF, Runghien, T, Russo, M, Ruzzante, SW, S N, C, Saad, AMA, Mentis, A-FA, Saber, K, Saber-Ayad, MM, Sabour, S, Sacco, S, Abdi, P, Alwafi, H, Sachdev, PS, Sachdeva, R, Saddik, B, Saddler, A, Meo, SA, Sadee, BA, Sadeghi, E, Sadeghi, M, Sadeghi Majd, E, Saeb, MR, Saeed, U, Al-Wardat, MS, Safari, M, Safi, S, Safi, SZ, Meretoja, A, Sagar, R, Sagoe, D, Saheb Sharif-Askari, F, Saheb Sharif-Askari, N, Sahebkar, A, Sahoo, SS, Sahu, M, Al-Worafi, YM, Saif, Z, Sajid, MR, Meretoja, TJ, Sakshaug, JW, Salam, N, Salamati, P, Salami, AA, Salaroli, LB, Salehi, L, Salehi, S, Salem, MR, Aly, H, Salem, MZY, Mersha, AM, Salihu, D, Salimi, S, Salum, GA, Samadi Kafil, H, Samadzadeh, S, Samodra, YL, Samuel, VP, Samy, AM, Sanabria, J, Aly, S, Mesfin, BA, Sanjeev, RK, Sanna, F, Santomauro, DF, Santric-Milicevic, MM, Sarasmita, MA, Saraswathy, SYI, Saravanan, A, Saravi, B, Sarikhani, Y, Sarmiento-Suárez, R, Mestrovic, T, Alzoubi, KH, Sarode, GS, Sarode, SC, Sartorius, B, Sarveazad, A, Sathian, B, Sattin, D, Sawhney, M, Saya, GK, Sayeed, A, Mettananda, KCD, Sayeed, MA, Al-Zyoud, W, Sayyah, M, Schinckus, C, Schmidt, MI, Schuermans, A, Schumacher, AE, Schutte, AE, Schwarzinger, M, 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AA, Mahadeshwara Prasad, DR, Maharaj, SB, AlBataineh, MT, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makram, OM, Makris, KC, Malasala, S, Maled, V, Ali, W, Malhotra, K, Malik, AA, Malik, I, Aldhaleei, WA, Malinga, LA, Malta, DC, Mamun, AA, Manda, AL, Manla, Y, Mansour, A, Nguyen, VT, Mansouri, B, Mansouri, P, Mansourian, M, Mansournia, MA, Aldridge, RW, Mantovani, LG, Manu, E, Marateb, HR, Maravilla, JC, Marsh, E, Nguyen Tran Minh, D, Martinez, G, Martinez-Piedra, R, Martini, S, Martins-Melo, FR, Martorell, M, Maugeri, A, Niazi, RK, Nicholson, SI, Nie, J, Nikoobar, A, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Noman, EA, Alicandro, G, Nomura, S, Maulik, PK, Noroozi, N, Norrving, B, Noubiap, JJ, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nunemo, MH, Nurrika, D, Nutor, JJ, Alif, SM, Mayeli, M, Oancea, B, O'Connell, EM, Odetokun, IA, O'Donnell, MJ, Oduro, MS, Ogunfowokan, AA, Ogunkoya, A, Oh, I-H, Okati-Aliabad, H, Okeke, SR, Mazidi, M, Aljunid, SM, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, AB, Oliveira, GMM, Olorukooba, AA, Olufadewa, II, Alemu, YM, Olusanya, BO, Alla, F, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omar Bali, A, Omer, GL, Ong, KL, Ong, S, Onwujekwe, OE, Mazzotti, A, Onyedibe, KI, Oppong, AF, Abd ElHafeez, S, Al-Marwani, S, Ordak, M, Orish, VN, Ornello, R, Orpana, HM, Ortiz, A, Ortiz-Prado, E, McGrath, JJ, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Al-Mekhlafi, HM, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, IT, McKee, M, Oyeyemi, OT, P A, MP, Pacheco-Barrios, K, Padron-Monedero, A, Padubidri, JR, Almustanyir, S, Pal, PK, Palicz, T, Pan, F, Pan, H-F, McKowen, ALW, Pana, A, Panda, SK, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Alomari, MA, Pantazopoulos, I, Pantea Stoian, AM, Papadopoulou, P, McLaughlin, SA, Parent, MC, Parija, PP, Parikh, RR, Park, S, Parsons, N, Pashaei, A, Alonso, J, Pasovic, M, Passera, R, McPhail, MA, Patil, S, Patoulias, D, Patthipati, VS, Paudel, U, Pawar, S, Pazoki 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PR, Raheem, N, Al-Sabah, SK, Rahim, F, Rahim, MJ, Rahimifard, M, Rahimi-Movaghar, V, Meier, T, Rahman, MO, Rahman, MA, Rahmani, AM, Rahmani, B, Rahmanian, M, Rahmanian, N, Alshahrani, NZ, Rahmanian, V, Rahmati, M, Rahmawaty, S, Mejia-Rodriguez, F, Raimondo, D, Rajaa, S, Rajendran, V, Rajput, P, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Altaany, Z, Ramazanu, S, Ramteke, PW, Mekene Meto, T, Rana, J, Rana, K, Ranabhat, CL, Rane, A, Rani, U, Ranta, A, Rao, CR, Rao, M, Altaf, A, Rao, PC, Mekonnen, BD, Rao, SJ, Rasella, D, Rashedi, S, Rashedi, V, Rashidi, M, Rashidi, M-M, Rasouli-Saravani, A, Ratan, ZA, Rathnaiah Babu, G, Al-Tawfiq, JA, Menezes, RG, Rauniyar, SK, Rautalin, I, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Razo, C, Reda, ZFF, Reddy, MMRK, Redwan, EMM, Reifels, L, Mengist, B, Altirkawi, KA, Reitsma, MB, Remuzzi, G, Reshmi, B, Resnikoff, S, Restaino, S, Reyes, LF, Rezaei, M, Rezaei, N, Mensah, GA, Rezaeian, M, Aluh, DO, Rhee, TG, Riaz, MA, Ribeiro, ALP, Rickard, J, Robinson-Oden, HE, Rodrigues, CF, Rodrigues, M, Rodriguez, JAB, Mensah, LG, Roever, L, Romadlon, DS, Alvis-Guzman, N, Ronfani, L, Rosauer, JJ, Roshandel, G, Rostamian, M, Rotimi, K, Rout, HS, Roy, B, Al-Gheethi, AAS, Roy, N, Rubagotti, E, Ruela, GDA, Alvis-Zakzuk, NJ, Rumisha, SF, Runghien, T, Russo, M, Ruzzante, SW, S N, C, Saad, AMA, Mentis, A-FA, Saber, K, Saber-Ayad, MM, Sabour, S, Sacco, S, Abdi, P, Alwafi, H, Sachdev, PS, Sachdeva, R, Saddik, B, Saddler, A, Meo, SA, Sadee, BA, Sadeghi, E, Sadeghi, M, Sadeghi Majd, E, Saeb, MR, Saeed, U, Al-Wardat, MS, Safari, M, Safi, S, Safi, SZ, Meretoja, A, Sagar, R, Sagoe, D, Saheb Sharif-Askari, F, Saheb Sharif-Askari, N, Sahebkar, A, Sahoo, SS, Sahu, M, Al-Worafi, YM, Saif, Z, Sajid, MR, Meretoja, TJ, Sakshaug, JW, Salam, N, Salamati, P, Salami, AA, Salaroli, LB, Salehi, L, Salehi, S, Salem, MR, Aly, H, Salem, MZY, Mersha, AM, Salihu, D, Salimi, S, Salum, GA, Samadi Kafil, H, Samadzadeh, S, Samodra, YL, Samuel, VP, Samy, AM, Sanabria, J, Aly, S, Mesfin, BA, Sanjeev, RK, Sanna, F, Santomauro, DF, Santric-Milicevic, MM, Sarasmita, MA, Saraswathy, SYI, Saravanan, A, Saravi, B, Sarikhani, Y, Sarmiento-Suárez, R, Mestrovic, T, Alzoubi, KH, Sarode, GS, Sarode, SC, Sartorius, B, Sarveazad, A, Sathian, B, Sattin, D, Sawhney, M, Saya, GK, Sayeed, A, Mettananda, KCD, Sayeed, MA, Al-Zyoud, W, Sayyah, M, Schinckus, C, Schmidt, MI, Schuermans, A, Schumacher, AE, Schutte, AE, Schwarzinger, M, Schwebel, DC, Mettananda, S, Schwendicke, F, Selvaraj, S, Amaechi, UA, Semreen, MH, Senthilkumaran, S, Serban, D, Serre, ML, Sethi, Y, Shafie, M, Shah, H, Miazgowski, T, Shah, NS, Shah, PA, Shah, SM, Aman Mohammadi, M, Shahbandi, A, Shaheen, AA, Shahid, S, Shahid, W, Shahsavari, HR, Shahwan, MJ, Al-Habbal, K, Shaikh, MA, Shaikh, SZ, Shalash, AS, Sham, S, Amani, R, Shamim, MA, Shams-Beyranvand, M, Shamshirgaran, MA, Shamsi, MA, Shanawaz, M, Micha, G, Shankar, A, Sharfaei, S, Sharifan, A, Sharifi-Rad, J, Sharma, M, Abdollahi, M, Amiri, S, Sharma, U, Sharma, V, 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EM, Stanaway, JD, Stanikzai, MH, Stein, C, Anderlini, D, Stein, DJ, Steinbeis, F, Steiner, C, Steinke, S, Steiropoulos, P, Stockfelt, L, Mirshahi, A, Stokes, MA, Straif, K, Stranges, S, Subedi, N, Anderson, JA, Subramaniyan, V, Suleman, M, Suliankatchi Abdulkader, R, Sundström, J, Sunkersing, D, Alhabib, KF, Sunnerhagen, KS, Suresh, V, Swain, CK, Szarpak, L, Szeto, MD, Andrade, PP, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei, SM, Tabatabaei Malazy, O, Mirzaei, M, Tabatabaeizadeh, S-A, Tabatabai, S, Tabche, C, Tabish, M, Tadakamadla, SK, Taheri Abkenar, Y, Abdoun, M, Andrei, CL, Taheri Soodejani, M, Taherkhani, A, Mishra, AK, Taiba, J, Takahashi, K, Talaat, IM, Tamuzi, JL, Tan, K-K, Tang, H, Tat, NY, Taveira, N, Andrei, T, Tefera, YM, Mishra, V, Tehrani-Banihashemi, A, Temesgen, WA, Temsah, M-H, Teramoto, M, Terefa, DR, Teye-Kwadjo, E, Thakur, R, Thangaraju, P, Thankappan, KR, Anenberg, SC, Mitchell, PB, Thapar, R, Thayakaran, R, Thirunavukkarasu, S, Thomas, N, Thomas, NK, 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Vujcic, IS, Waheed, Y, Wang, C, Mohamed, AZ, Wang, F, Wang, S, Wang, Y, Wang, Y-P, Wanjau, MN, Waqas, M, Ward, P, Abdulah, DM, Antony, CM, Waris, A, Mohamed, AI, Wassie, EG, Weerakoon, KG, Weintraub, RG, Weiss, DJ, Weiss, EJ, Weldetinsaa, HLL, Wells, KM, Wen, YF, Wiangkham, T, Antriyandarti, E, Mohamed, J, Wickramasinghe, ND, Wilkerson, C, Willeit, P, Wilson, S, Wong, YJ, Wongsin, U, Wozniak, S, Wu, C, Wu, D, Wu, F, Mohamed, MFH, Anuoluwa, BS, Wu, Z, Xia, J, Xiao, H, Xu, S, Xu, X, Xu, YY, Yadav, MK, Yaghoubi, S, Yamagishi, K, Mohamed, NS, Yang, L, Anvari, D, Yano, Y, Yaribeygi, H, Yasufuku, Y, Ye, P, Yesodharan, R, Yesuf, SA, Yezli, S, Yi, S, Mohammadi, E, Yiğit, A, Yigzaw, ZA, Anvari, S, Yin, D, Yip, P, Yismaw, MB, Yon, DK, Yonemoto, N, You, Y, Younis, MZ, Mohammadi, S, Yousefi, Z, Yu, C, Yu, Y, Anwar, S, Zadey, S, Zadnik, V, Zakham, F, Zaki, N, Zakzuk, J, Zamagni, G, Mohammadian-Hafshejani, A, Zaman, SB, Zandieh, GGZ, Zanghì, A, Zar, HJ, Anwar, SL, Zare, I, Zarimeidani, F, Zastrozhin, MS, Zeng, Y, Zhai, C, Mohammadifard, N, Zhang, AL, Zhang, H, Zhang, L, Zhang, M, Zhang, Y, Anwer, R, Zhang, Z, Zhang, Z-J, Zhao, H, Zhao, JT, Mohammed, H, Zhao, X-JG, Zhao, Y, Zhong, C, Zhou, J, Anyabolo, EE, Zhou, S, Zhu, B, Zhu, L, Ali, A, Zhu, Z, Ziaeian, B, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoghi, G, Zoller, T, Anyasodor, AE, Zumla, A, Zyoud, SH, Mohammed, M, Murray, CJL, Gakidou, E, Abdullahi, A, Apostol, GLC, Arabloo, J, Arabzadeh Bahri, R, Arafat, M, Areda, D, Aregawi, BB, Mohammed, S, Aremu, A, Armocida, B, Arndt, MB, Ärnlöv, J, Abebe, M, Arooj, M, Artamonov, AA, Artanti, KD, Aruleba, IT, Arumugam, A, Asbeutah, AM, Asgary, S, Asgedom, AA, Ashbaugh, C, Ashemo, MY, Abedi, A, Ashraf, T, Askarinejad, A, Assmus, M, Astell-Burt, T, Mokdad, AH, Athar, M, Athari, SS, Atorkey, P, Atreya, A, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awoke, AA, Ayala Quintanilla, BP, Monasta, L, Ayatollahi, H, Ayestas Portugal, C, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Azhar, GS, Azizi, H, Abegaz, TM, Azzam, AY, Backhaus, IL, Mondello, S, Badar, M, Badiye, AD, Bagga, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahrami Taghanaki, P, Bai, R, Abeldaño Zuñiga, RA, Baig, AA, Moni, MA, Baker, JL, Bakkannavar, SM, Balasubramanian, M, Baltatu, OC, Bam, K, Bandyopadhyay, S, Banik, B, Banik, PC, Banke-Thomas, A, Abiodun, O, Moodi Ghalibaf, A, Bansal, H, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Moore, CE, Abiso, TL, Barteit, S, Basharat, Z, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Batchu, S, Batra, K, Batra, R, Moradi, M, Baune, BT, Aboagye, RG, Bayati, M, Bayileyegn, NS, Beaney, T, Behnoush, AH, Beiranvand, M, Béjot, Y, Bekele, A, Belgaumi, UI, Bell, AW, Bell, ML, Abolhassani, H, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bendak, S, Bennett, DA, and Bennitt, FB
Published: 2024

2. Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

Author: Haeuser, E, Serfes, AL, Cork, MA, Yang, M, Abbastabar, H, Abhilash, ES, Adabi, M, Adebayo, OM, Adekanmbi, V, Adeyinka, DA, Afzal, S, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Akalu, Y, Akinyemi, RO, Akunna, CJ, Alahdab, F, Alanezi, FM, Alanzi, TM, Alene, KA, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ameyaw, EK, Amini, S, Amugsi, DA, Ancuceanu, R, Anvari, D, Appiah, SCY, Arabloo, J, Aremu, O, Asemahagn, MA, Jafarabadi, MA, Awedew, AF, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azari, S, Azene, ZN, Darshan, BB, Babalola, TK, Baig, AA, Banach, M, Bärnighausen, TW, Bell, AW, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bijani, A, Bitew, ZW, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bozicevic, I, Butt, ZA, Cárdenas, R, Carvalho, F, Charan, J, Chattu, VK, Chowdhury, MAK, Chu, D-T, Cowden, RG, Dahlawi, SMA, Damiani, G, Darteh, EKM, Darwesh, AM, das Neves, J, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Deuba, K, Dharmaratne, S, Dianatinasab, M, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Dubljanin, E, Duko, B, El Tantawi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Eyawo, O, Ezeonwumelu, IJ, Ezzikouri, S, Farzadfar, F, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gebregiorgis, BG, Gebremedhin, KB, Getacher, L, Ghadiri, K, Ghashghaee, A, Golechha, M, Gubari, MIM, Gugnani, HC, Guimarães, RA, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hashi, A, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseini, M, Hosseinzadeh, M, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Islam, RM, Iwu, CCD, Jakovljevic, M, Jha, RP, Ji, JS, Johnson, KB, Joseph, N, Joshua, V, Joukar, F, Jozwiak, JJ, Kalankesh, LR, Kalhor, R, Kamyari, N, Kanchan, T, Matin, BK, Karimi, SE, Kayode, GA, Karyani, AK, Keramati, M, Khan, EA, Khan, G, Khan, MN, Khatab, K, Khubchandani, J, Kim, YJ, Kisa, A, Kisa, S, Kopec, JA, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kugbey, N, Kulkarni, V, Kumar, M, Kumar, N, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Larson, HJ, Lasrado, S, Lee, PH, Li, S, Liu, X, Maleki, A, Malik, P, Mansournia, MA, Martins-Melo, FR, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mestrovic, T, Mirica, A, Moazen, B, Mohamad, O, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moradi, M, Moraga, P, Mubarik, S, Mulu, GBB, Mwanri, L, Nagarajan, AJ, Naimzada, MD, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Ngalesoni, FN, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, HLT, Nnaji, CA, Noubiap, JJ, Nuñez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Olagunju, AT, Olakunde, BO, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Orisakwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Kan, FP, Patton, GC, Pawar, S, Peprah, EK, Postma, MJ, Preotescu, L, Syed, ZQ, Rabiee, N, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Regassa, LD, Rezaei, N, Rezapour, A, Riaz, MA, Ribeiro, AI, Ross, JM, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Moghaddam, SS, Sagar, R, Sahiledengle, B, Sahu, M, Salem, MR, Kafil, HS, Samy, AM, Sartorius, B, Sathian, B, Seidu, A-A, Shaheen, AA, Shaikh, MA, Shamsizadeh, M, Shiferaw, WS, Shin, JI, Shrestha, R, Singh, JA, Skryabin, VY, Skryabina, AA, Soltani, S, Sufiyan, MB, Tabuchi, T, Tadesse, EG, Taveira, N, Tesfay, FH, Thapar, R, Tovani-Palone, MR, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Villafañe, JH, Violante, FS, Vo, B, Vu, GT, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Ward, P, Wickramasinghe, ND, Wilson, K, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Zastrozhin, MS, Zhang, Y, Zhang, Z-J, Hay, SI, Dwyer-Lindgren, L, Local Burden of Disease sub-Saharan Africa HIV Prevalence Collaborators, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Haeuser, Emily, Serfes, Audrey L., Cork, Michael A., Yang, Mingyou, Ahmed, Muktar Beshir, Dwyer Lindgrena, Laura, HUS Comprehensive Cancer Center, Helsinki University Hospital Area, Department of Oncology, Epidemiologie, and RS: NUTRIM - R3 - Respiratory & Age-related Health
Subjects: Male, Adult, Settore MED/17 - Malattie Infettive, Adolescent, Settore MED/42 - Igiene Generale e Applicata, HIV Infections, Settore MED/01 - Statistica Medica, Young Adult, HIV Infections/prevention & control, Pregnancy, Seroepidemiologic Studies, General & Internal Medicine, Prevalence, Humans, Geostatistics, Africa, Demographics, HIV, HIV prevalence, Mapping, Spatial statistics, 11 Medical and Health Sciences, Africa South of the Sahara, Acquired Immunodeficiency Syndrome, Acquired Immunodeficiency Syndrome/epidemiology, General Medicine, Middle Aged, Settore SECS-S/04 - Demografia, Africa South of the Sahara/epidemiology, 3142 Public health care science, environmental and occupational health, 3121 General medicine, internal medicine and other clinical medicine, Female
Abstract: Background Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15–59 years across SSA. Methods We analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units. Results We found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all districts saw at least a five percentage point prevalence increase in one or more sex and age group. Conclusions As the HIV epidemic persists and evolves in SSA, geographic and demographic shifts in prevention and treatment efforts are necessary. These estimates offer epidemiologically informative detail to better guide more targeted interventions, vital for combating HIV in SSA.
Published: 2022

3. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018

Author: Bhattacharjee, NV, Schaeffer, LE, Hay, SI, Lu, D, Schipp, MF, Lazzar-Atwood, A, Donkers, KM, Abady, GG, Abd-Allah, F, Abdelalim, A, Abebo, ZH, Abejie, AN, Abosetugn, AE, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adamu, AL, Adedeji, IA, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Aji, B, Akinyemi, OO, Alamneh, AA, Alanezi, FM, Alanzi, TM, Albright, J, Alcalde-Rabanal, JE, Alemu, BW, Alhassan, RK, Ali, BA, Ali, S, Alinia, C, Alipour, V, Amit, AML, Amugsi, DA, Anbesu, EW, Ancuceanu, R, Anjomshoa, M, Ansari, F, Antonio, CAT, Anvari, D, Arabloo, J, Arora, A, Artanti, KD, Asemahagn, MA, Asmare, WN, Atout, MMW, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Ayza, MA, Azene, ZN, Darshan, BB, Badiye, AD, Baig, AA, Bakkannavar, SM, Banach, M, Banik, PC, Bärnighausen, TW, Basaleem, H, Bayati, M, Baye, BA, Bedi, N, Belay, SA, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhutta, ZA, Bijani, A, Birhan, TA, Birihane, BM, Bitew, ZW, Bohlouli, S, Bohluli, M, Bojia, HA, Boloor, A, Brady, OJ, Bragazzi, NL, Brunoni, AR, Budhathoki, SS, Nagaraja, SB, Butt, ZA, Cárdenas, R, Castaldelli-Maia, JM, Castro, F, Cernigliaro, A, Charan, J, Chatterjee, P, Chatterjee, S, Chattu, VK, Chaturvedi, S, Chowdhury, MAK, Chu, D-T, Collison, ML, Cook, AJ, Cork, MA, Couto, RAS, Dagnew, B, Dai, H, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Darwish, AH, Daryani, A, Das, JK, Gupta, RD, Dávila-Cervantes, CA, Davis, AC, Weaver, ND, Denova-Gutiérrez, E, Deribe, K, Desalew, A, Deshpande, A, Dessie, A, Deuba, K, Dharmaratne, SD, Dhimal, M, Dhungana, GP, Diaz, D, Didarloo, A, Dipeolu, IO, Doan, LP, Duko, B, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Zaki, MES, Tantawi, ME, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Faris, PS, Faro, A, Farzadfar, F, Feigin, VL, Feleke, BE, Ferede, TY, Fischer, F, Foigt, NA, Folayan, MO, Franklin, RC, Gad, MM, Gaidhane, S, Gardner, WM, Geberemariyam, BS, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Ghaffarpasand, F, Gilani, SA, Ginindza, TG, Glagn, M, Golechha, M, Gonfa, KB, Goulart, BNG, Gudi, N, Guido, D, Guled, RA, Guo, Y, Hamidi, S, Handiso, DW, Hasaballah, AI, Hassan, A, Hayat, K, Hegazy, MI, Heidari, B, Henry, NJ, Herteliu, C, de, Hidru, HD, Ho, HC, Hoang, CL, Holla, R, Hon, J, Hosseini, M, Hosseinzadeh, M, Househ, M, Hsairi, M, Hu, G, Huda, TM, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, MM, Iwu, CCD, Iwu, CJ, Jain, A, Janodia, MD, Javaheri, T, John-Akinola, YO, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, A, Kalankesh, LR, Kalhor, R, Kamath, A, Kamyari, N, Kanchan, OT, Kapoor, N, Matin, BK, Karimi, SE, Kasaye, HK, Kassahun, G, Kassebaum, NJ, Kayode, GA, Karyani, AK, Keiyoro, PN, Kelkay, B, Khalid, N, Khan, MN, Khatab, K, Khater, AM, Khater, MM, Khatib, MN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kosen, S, Krishan, K, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kumar, P, Kurmi, OP, Kusuma, D, Vecchia, CL, Lad, SD, Lami, FH, Landires, I, Lansingh, VC, Lasrado, S, Lee, PH, LeGrand, KE, Letourneau, ID, Lewycka, S, Li, B, Li, M-C, Li, S, Liu, X, Lodha, R, Lopez, JCF, Louie, C, Machado, DB, Maled, V, Maleki, S, Malta, DC, Mamun, AA, Manafi, N, Mansournia, MA, Mapoma, CC, Marczak, LB, Martins-Melo, FR, Mehndiratta, MM, Mejia-Rodriguez, F, Mekonnen, TC, Mendoza, W, Menezes, RG, Mengesha, EW, Mersha, AM, Miller, TR, Mini, GK, Mirrakhimov, EM, Misra, S, Moghadaszadeh, M, Mohammad, DK, Mohammadian-Hafshejani, A, Mohammed, JA, Mohammed, S, Mokdad, AH, Montero-Zamora, PA, Moradi, M, Moradzadeh, R, Moraga, P, Mosser, JF, Mousavi, SM, Khaneghah, AM, Munro, SB, Muriithi, MK, Mustafa, G, Muthupandian, S, Nagarajan, AJ, Naik, G, Naimzada, MD, Nangia, V, Nascimento, BR, Nayak, VC, Ndejjo, R, Ndwandwe, DE, Negoi, I, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, DN, Nguyen, HLT, Nigussie, SN, Nigussie, TTN, Nikbakhsh, R, Nnaji, CA, Nunez-Samudio, V, Oancea, B, Oghenetega, OB, Olagunju, AT, Olusanya, BO, Olusanya, JO, Omer, MO, Onwujekwe, OE, Ortega-Altamirano, DV, Osgood-Zimmerman, AE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Parsekar, SS, Pasupula, DK, Patel, UK, Pathak, A, Pathak, M, Pattanshetty, SM, Patton, GC, Paulos, K, Pepito, VCF, Pickering, BV, Pinheiro, M, Piwoz, EG, Pokhrel, KN, Pourjafar, H, Prada, SI, Pribadi, DRA, Syed, ZQ, Rabiee, M, Rabiee, N, Rahim, F, Rahimzadeh, S, Rahman, A, Rahman, MHU, Rahmani, AM, Rai, RK, Ranabhat, CL, Rao, SJ, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Rawat, R, Regassa, LD, Rego, MAS, Reiner, RC, Reshmi, B, Rezapour, A, Ribeiro, AI, Rickard, J, Roever, L, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sartorius, B, Sathian, B, Saxena, D, Sbarra, AN, Sengupta, D, Senthilkumaran, S, Sha, F, Shafaat, O, Shaheen, AA, Shaikh, MA, Shalash, AS, Shannawaz, M, Sheikh, A, Shetty, BSK, Shetty, RS, Shibuya, K, Shiferaw, WS, Shin, JI, Silva, DAS, Singh, NP, Singh, P, Singh, S, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soheili, A, Soltani, S, Sorrie, MB, Spurlock, EE, Steuben, KM, Sudaryanto, A, Sufiyan, MB, Swartz, SJ, Tadesse, EG, Tamiru, AT, Tapak, L, Tareque, MI, Tarigan, IU, Tesema, GA, Tesfay, FH, Teshome, A, Tessema, ZT, Thankappan, KR, Thapar, R, Thomas, N, Topor-Madry, R, Tovani-Palone, MR, Traini, E, Tran, BX, Truong, PN, Tsegaye, BTBT, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Uzochukwu, BSC, VanderHeide, JD, Violante, FS, Vo, B, Wado, YD, Waheed, Y, Wamai, RG, Wang, F, Wang, Y, Wang, Y-P, Wickramasinghe, ND, Wiens, KE, Wiysonge, CS, Woyczynski, L, Wu, A-M, Wu, C, Yamada, T, Yaya, S, Yeshaneh, A, Yeshaw, Y, Yeshitila, YG, Yilma, MT, Yip, P, Yonemoto, N, Yosef, T, Younis, MZ, Yousuf, AY, Yu, C, Yu, Y, Yuce, D, Zafar, S, Zaidi, SS, Zaki, L, Zakzuk, J, Zamanian, M, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zelellw, DA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zodpey, S, Zuniga, YMH, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee, Natalia V, Schaeffer, Lauren E, Hay, Simon I, Duko, Bereket, Yeshaw, Yigizie, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee N.V., Schaeffer L.E., Hay S.I., Lu D., Schipp M.F., Lazzar-Atwood A., Donkers K.M., Abady G.G., Abd-Allah F., Abdelalim A., Abebo Z.H., Abejie A.N., Abosetugn A.E., Abreu L.G., Abrigo M.R.M., Abu-Gharbieh E., Abushouk A.I., Adamu A.L., Adedeji I.A., Adegbosin A.E., Adekanmbi V., Adetokunboh O.O., Agudelo-Botero M., Aji B., Akinyemi O.O., Alamneh A.A., Alanezi F.M., Alanzi T.M., Albright J., Alcalde-Rabanal J.E., Alemu B.W., Alhassan R.K., Ali B.A., Ali S., Alinia C., Alipour V., Amit A.M.L., Amugsi D.A., Anbesu E.W., Ancuceanu R., Anjomshoa M., Ansari F., Antonio C.A.T., Anvari D., Arabloo J., Arora A., Artanti K.D., Asemahagn M.A., Asmare W.N., Atout M.M.W., Ausloos M., Awoke N., Quintanilla B.P.A., Ayanore M.A., Aynalem Y.A., Ayza M.A., Azene Z.N., Darshan B.B., Badiye A.D., Baig A.A., Bakkannavar S.M., Banach M., Banik P.C., Barnighausen T.W., Basaleem H., Bayati M., Baye B.A., Bedi N., Belay S.A., Bhagavathula A.S., Bhandari D., Bhardwaj N., Bhardwaj P., Bhutta Z.A., Bijani A., Birhan T.A., Birihane B.M., Bitew Z.W., Bohlouli S., Bohluli M., Bojia H.A., Boloor A., Brady O.J., Bragazzi N.L., Brunoni A.R., Budhathoki S.S., Nagaraja S.B., Butt Z.A., Cardenas R., Castaldelli-Maia J.M., Castro F., Cernigliaro A., Charan J., Chatterjee P., Chatterjee S., Chattu V.K., Chaturvedi S., Chowdhury M.A.K., Chu D.-T., Collison M.L., Cook A.J., Cork M.A., Couto R.A.S., Dagnew B., Dai H., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Darwish A.H., Daryani A., Das J.K., Gupta R.D., Davila-Cervantes C.A., Davis A.C., Weaver N.D., Denova-Gutierrez E., Deribe K., Desalew A., Deshpande A., Dessie A., Deuba K., Dharmaratne S.D., Dhimal M., Dhungana G.P., Diaz D., Didarloo A., Dipeolu I.O., Doan L.P., Duko B., Duraes A.R., Dwyer-Lindgren L., Earl L., Zaki M.E.S., Tantawi M.E., Elema T.B., Elhabashy H.R., El-Jaafary S.I., Faris P.S., Faro A., Farzadfar F., Feigin V.L., Feleke B.E., Ferede T.Y., Fischer F., Foigt N.A., Folayan M.O., Franklin R.C., Gad M.M., Gaidhane S., Gardner W.M., Geberemariyam B.S., Gebregiorgis B.G., Gebremedhin K.B., Gebremichael B., Ghaffarpasand F., Gilani S.A., Ginindza T.G., Glagn M., Golechha M., Gonfa K.B., Goulart B.N.G., Gudi N., Guido D., Guled R.A., Guo Y., Hamidi S., Handiso D.W., Hasaballah A.I., Hassan A., Hayat K., Hegazy M.I., Heidari B., Henry N.J., Herteliu C., de Hidru H.D., Ho H.C., Hoang C.L., Holla R., Hon J., Hosseini M., Hosseinzadeh M., Househ M., Hsairi M., Hu G., Huda T.M., Hwang B.-F., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Inbaraj L.R., Iqbal U., Irvani S.S.N., Islam M.M., Iwu C.C.D., Iwu C.J., Jain A., Janodia M.D., Javaheri T., John-Akinola Y.O., Johnson K.B., Joukar F., Jozwiak J.J., Kabir A., Kalankesh L.R., Kalhor R., Kamath A., Kamyari N., Kanchan O.T., Kapoor N., Matin B.K., Karimi S.E., Kasaye H.K., Kassahun G., Kassebaum N.J., Kayode G.A., Karyani A.K., Keiyoro P.N., Kelkay B., Khalid N., Khan M.N., Khatab K., Khater A.M., Khater M.M., Khatib M.N., Kim Y.J., Kimokoti R.W., Kinyoki D.K., Kisa A., Kisa S., Kosen S., Krishan K., Kulkarni V., Kumar G.A., Kumar M., Kumar N., Kumar P., Kurmi O.P., Kusuma D., Vecchia C.L., Lad S.D., Lami F.H., Landires I., Lansingh V.C., Lasrado S., Lee P.H., LeGrand K.E., Letourneau I.D., Lewycka S., Li B., Li M.-C., Li S., Liu X., Lodha R., Lopez J.C.F., Louie C., Machado D.B., Maled V., Maleki S., Malta D.C., Mamun A.A., Manafi N., Mansournia M.A., Mapoma C.C., Marczak L.B., Martins-Melo F.R., Mehndiratta M.M., Mejia-Rodriguez F., Mekonnen T.C., Mendoza W., Menezes R.G., Mengesha E.W., Mersha A.M., Miller T.R., Mini G.K., Mirrakhimov E.M., Misra S., Moghadaszadeh M., Mohammad D.K., Mohammadian-Hafshejani A., Mohammed J.A., Mohammed S., Mokdad A.H., Montero-Zamora P.A., Moradi M., Moradzadeh R., Moraga P., Mosser J.F., Mousavi S.M., Khaneghah A.M., Munro S.B., Muriithi M.K., Mustafa G., Muthupandian S., Nagarajan A.J., Naik G., Naimzada M.D., Nangia V., Nascimento B.R., Nayak V.C., Ndejjo R., Ndwandwe D.E., Negoi I., Nguefack-Tsague G., Ngunjiri J.W., Nguyen C.T., Nguyen D.N., Nguyen H.L.T., Nigussie S.N., Nigussie T.T.N., Nikbakhsh R., Nnaji C.A., Nunez-Samudio V., Oancea B., Oghenetega O.B., Olagunju A.T., Olusanya B.O., Olusanya J.O., Omer M.O., Onwujekwe O.E., Ortega-Altamirano D.V., Osgood-Zimmerman A.E., Otstavnov N., Otstavnov S.S., Owolabi M.O., Mahesh P.A., Padubidri J.R., Pana A., Pandey A., Pandi-Perumal S.R., Pangaribuan H.U., Parsekar S.S., Pasupula D.K., Patel U.K., Pathak A., Pathak M., Pattanshetty S.M., Patton G.C., Paulos K., Pepito V.C.F., Pickering B.V., Pinheiro M., Piwoz E.G., Pokhrel K.N., Pourjafar H., Prada S.I., Pribadi D.R.A., Syed Z.Q., Rabiee M., Rabiee N., Rahim F., Rahimzadeh S., Rahman A., Rahman M.H.U., Rahmani A.M., Rai R.K., Ranabhat C.L., Rao S.J., Rastogi P., Rathi P., Rawaf D.L., Rawaf S., Rawassizadeh R., Rawat R., Regassa L.D., Rego M.A.S., Reiner R.C., Reshmi B., Rezapour A., Ribeiro A.I., Rickard J., Roever L., Rumisha S.F., Rwegerera G.M., Sagar R., Sajadi S.M., Salem M.R., Samy A.M., Santric-Milicevic M.M., Saraswathy S.Y.I., Sarker A.R., Sartorius B., Sathian B., Saxena D., Sbarra A.N., Sengupta D., Senthilkumaran S., Sha F., Shafaat O., Shaheen A.A., Shaikh M.A., Shalash A.S., Shannawaz M., Sheikh A., Shetty B.S.K., Shetty R.S., Shibuya K., Shiferaw W.S., Shin J.I., Silva D.A.S., Singh N.P., Singh P., Singh S., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soheili A., Soltani S., Sorrie M.B., Spurlock E.E., Steuben K.M., Sudaryanto A., Sufiyan M.B., Swartz S.J., Tadesse E.G., Tamiru A.T., Tapak L., Tareque M.I., Tarigan I.U., Tesema G.A., Tesfay F.H., Teshome A., Tessema Z.T., Thankappan K.R., Thapar R., Thomas N., Topor-Madry R., Tovani-Palone M.R., Traini E., Tran B.X., Truong P.N., Tsegaye B.T.B.T., Ullah I., Umeokonkwo C.D., Unnikrishnan B., Upadhyay E., Uzochukwu B.S.C., VanderHeide J.D., Violante F.S., Vo B., Wado Y.D., Waheed Y., Wamai R.G., Wang F., Wang Y., Wang Y.-P., Wickramasinghe N.D., Wiens K.E., Wiysonge C.S., Woyczynski L., Wu A.-M., Wu C., Yamada T., Yaya S., Yeshaneh A., Yeshaw Y., Yeshitila Y.G., Yilma M.T., Yip P., Yonemoto N., Yosef T., Younis M.Z., Yousuf A.Y., Yu C., Yu Y., Yuce D., Zafar S., Zaidi S.S., Zaki L., Zakzuk J., Zamanian M., Zar H.J., Zastrozhin M.S., Zastrozhina A., Zelellw D.A., Zhang Y., Zhang Z.-J., Zhao X.-J.G., Zodpey S., Zuniga Y.M.H., Collaborators, Local Burden of Disease Exclusive Breastfeeding, and Instituto de Saúde Pública da Universidade do Porto
Subjects: RJ101, Psychological intervention, Breastfeeding, Social Sciences, geography, Behavioral Neuroscience, 0302 clinical medicine, RA0421, Prevalence, Psychology, policy making, 030212 general & internal medicine, Policy Making, humans, media_common, CHILD GROWTH FAILURE, Developing world, 0303 health sciences, education.field_of_study, Psychology, Biological, Geography, Psychology, Experimental, Health Status Disparitie, Multidisciplinary Sciences, Breast Feeding, breast feeding, Scale (social sciences), Science & Technology - Other Topics, Life Sciences & Biomedicine, Human, AFRICA, Social Psychology, Inequality, spatial analysis, media_common.quotation_subject, public policy, Population, prevalence, Public policy, Developing country, Experimental and Cognitive Psychology, Public Policy, Local Burden of Disease Exclusive Breastfeeding Collaborators, Article, Developing Countrie, 03 medical and health sciences, Environmental health, Humans, Nutrition disorders, education, Developing Countries, 030304 developmental biology, Spatial Analysis, Science & Technology, Neurosciences, Health Status Disparities, developing countries, health status disparities, Risk factors, Neurosciences & Neurology, Breast feeding
Abstract: Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030., Bhattacharjee and Schaeffer et al. map exclusive breastfeeding (EBF) in 94 low- and middle-income countries (LMICs), finding increased EBF practice and reduced subnational variation across the majority of LMICs from 2000 to 2018. However, only six LMICs will meet WHO’s target of ≥70% EBF by 2030 nationally, and only three will achieve this in all districts.
Published: 2021

4. Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Collaborators, GAM, Ward, JL, Azzopardi, PS, Francis, KL, Santelli, JS, Skirbekk, V, Sawyer, SM, Kassebaum, NJ, Mokdad, AH, Hay, SI, Abd-Allah, F, Abdoli, A, Abdollahi, M, Abedi, A, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adebayo, OM, Adekanmbi, V, Adham, D, Advani, SM, Afshari, K, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmed, AE, Aji, B, Akombi-Inyang, B, Alahdab, F, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemu, BW, Al-Hajj, S, Alhassan, RK, Ali, S, Alicandro, G, Alijanzadeh, M, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, S, Aminorroaya, A, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Androudi, S, Ansari, F, Ansari, I, Antonio, CAT, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Ärnlöv, J, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Atout, MMW, Ausloos, M, Avenyo, EK, Avila-Burgos, L, Quintanilla, BPA, Ayano, G, Aynalem, YA, Azari, S, Azene, ZN, Bakhshaei, MH, Bakkannavar, SM, Banach, M, Banik, PC, Barboza, MA, Barker-Collo, SL, Bärnighausen, TW, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Bekuma, TT, Bell, AW, Bell, ML, Benjet, C, Bensenor, IM, Berhe, AK, Berhe, K, Berman, AE, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Bikbov, B, Biondi, A, Birhanu, TTM, Biswas, RK, Bohlouli, S, Bolla, SR, Boloor, A, Borschmann, R, Boufous, S, Bragazzi, NL, Braithwaite, D, Breitborde, NJK, Brenner, H, Britton, GB, Burns, RA, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Cámera, LA, Campos-Nonato, IR, Rincon, JCC, Cárdenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Cerin, E, Chandan, JS, Chang, H-Y, Chang, J-C, Charan, J, Chattu, VK, Chaturvedi, S, Choi, J-YJ, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Chung, MT, Chung, S-C, Cicuttini, FM, Constantin, TV, Costa, VM, Dahlawi, SMA, Dai, H, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dávila-Cervantes, CA, Davletov, K, De la Hoz, FP, De Leo, D, Dervenis, N, Desai, R, Desalew, A, Deuba, K, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, da Silva, DD, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Doshi, CP, Doshmangir, L, Doyle, KE, Duraes, AR, Kalan, ME, Ebtehaj, S, Edvardsson, D, Tantawi, ME, Elgendy, IY, El-Jaafary, SI, Elsharkawy, A, Eshrati, B, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, S, Faro, A, Farzadfar, F, Fattahi, N, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gallus, S, Gebre, T, Gebremedhin, KB, Gebremeskel, GG, Gebremeskel, L, Gebreslassie, AA, Gesesew, HA, Ghadiri, K, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gilani, SA, Gnedovskaya, EV, Godinho, MA, Golechha, M, Goli, S, Gona, PN, Gopalani, SV, Gorini, G, Grivna, M, Gubari, MIM, Gugnani, HC, Guimarães, RA, Guo, Y, Gupta, R, Haagsma, JA, Hafezi-Nejad, N, Haile, TG, Haj-Mirzaian, A, Hall, BJ, Hamadeh, RR, Abdullah, KH, Hamidi, S, Handiso, DW, Hanif, A, Hankey, GJ, Haririan, H, Haro, JM, Hasaballah, AI, Hashi, A, Hassan, A, Hassanipour, S, Hassankhani, H, Hayat, K, Heidari-Soureshjani, R, Herteliu, C, Heydarpour, F, Ho, HC, Hole, MK, Holla, R, Hoogar, P, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huda, TM, Humayun, A, Hussain, R, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Intarut, N, Iqbal, U, Irvani, SSN, Islam, MM, Islam, MS, Iso, H, Ivers, RQ, Jahani, MA, Jakovljevic, M, Jalali, A, Janodia, MD, Javaheri, T, Jeemon, P, Jenabi, E, Jha, RP, Jha, V, Ji, JS, Jonas, JB, Jones, KM, Joukar, F, Jozwiak, JJ, Juliusson, PB, Jürisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kalhor, R, Kamyari, N, Kanchan, T, Karch, A, Karimi, SE, Kaur, S, Kayode, 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Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mini, G, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Mirzaei, M, Moazen, B, Mohammad, DK, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammadpourhodki, R, Mohammed, S, Monasta, L, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Morrison, SD, Mosapour, A, Khaneghah, AM, Mueller, UO, Muriithi, MK, Murray, CJL, Muthupandian, S, Naderi, M, Nagarajan, AJ, Naghavi, M, Naimzada, MD, Nangia, V, Nayak, VC, Nazari, J, Ndejjo, R, Negoi, I, Negoi, RI, Netsere, HB, Nguefack-Tsague, G, Nguyen, DN, Nguyen, HLT, Nie, J, Ningrum, DNA, Nnaji, CA, Nomura, S, Noubiap, JJ, Nowak, C, Nuñez-Samudio, V, Ogbo, FA, Oghenetega, OB, Oh, I-H, Oladnabi, M, Olagunju, AT, Olusanya, BO, Olusanya, JO, Bali, AO, Omer, MO, Onwujekwe, OE, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, SS, Øverland, S, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Panelo, CIA, Park, E-K, Patten, SB, Peden, AE, Pepito, VCF, Peprah, EK, Pereira, J, Pesudovs, K, Pham, HQ, Phillips, MR, Piradov, MA, Pirsaheb, M, Postma, MJ, Pottoo, FH, Pourjafar, H, Pourshams, A, Prada, SI, Pupillo, E, Syed, ZQ, Rabiee, MH, Rabiee, N, Radfar, A, Rafiee, A, Raggi, A, Rahim, F, Rahimi-Movaghar, V, Rahman, MHU, Rahman, MA, Ramezanzadeh, K, Ranabhat, CL, Rao, SJ, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Renzaho, AMN, Rezaei, N, Rezai, MS, Riahi, SM, Rickard, J, Roever, L, Ronfani, L, Roth, GA, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Sabour, S, Sachdev, PS, Saddik, B, Sadeghi, E, Moghaddam, SS, Sagar, R, Sahebkar, A, Sahraian, MA, Sajadi, SM, Salem, MR, Salimzadeh, H, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saraswathy, SYI, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sattin, D, Saxena, D, Saxena, S, Schiavolin, S, Schwebel, DC, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Sha, F, Shafaat, O, Shahabi, S, Shaheen, AA, Shaikh, MA, Shakiba, S, Shamsi, M, Shannawaz, M, 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YG, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefinezhadi, T, Yu, C, Yu, Y, Yuce, D, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zarafshan, H, Zarei, A, Zastrozhin, MS, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zhu, C, Patton, GC, Viner, RM, Collaborators, GBD 2019 Adolescent Mortality, Ward, J. L., Azzopardi, P. S., Francis, K. L., Santelli, J. S., Skirbekk, V., Sawyer, S. M., Kassebaum, N. J., Mokdad, A. H., Hay, S. I., Abd-Allah, F., Abdoli, A., Abdollahi, M., Abedi, A., Abolhassani, H., Abreu, L. G., Abrigo, M. R. M., Abu-Gharbieh, E., Abushouk, A. I., Adebayo, O. M., Adekanmbi, V., Adham, D., Advani, S. M., Afshari, K., Agrawal, A., Ahmad, T., Ahmadi, K., Ahmed, A. E., Aji, B., Akombi-Inyang, B., Alahdab, F., Al-Aly, Z., Alam, K., Alanezi, F. M., Alanzi, T. M., Alcalde-Rabanal, J. E., Alemu, B. W., Al-Hajj, S., Alhassan, R. K., Ali, S., Alicandro, G., Alijanzadeh, M., Aljunid, S. M., Almasi-Hashiani, A., Almasri, N. A., Al-Mekhlafi, H. M., Alonso, J., Al-Raddadi, R. M., Altirkawi, K. A., Alvis-Guzman, N., Amare, A. T., Amini, S., Aminorroaya, A., Amit, A. M. L., Amugsi, D. A., Ancuceanu, R., Anderlini, D., Andrei, C. L., Androudi, S., Ansari, F., Ansari, I., Antonio, C. A. T., Anvari, D., Anwer, R., Appiah, S. C. Y., Arabloo, J., Arab-Zozani, M., Arnlov, J., Asaad, M., Asadi-Aliabadi, M., Asadi-Pooya, A. A., Atout, M. M. W., Ausloos, M., Avenyo, E. K., Avila-Burgos, L., Ayala Quintanilla, B. P., Ayano, G., Aynalem, Y. A., Azari, S., Azene, Z. N., Bakhshaei, M. H., Bakkannavar, S. M., Banach, M., Banik, P. C., Barboza, M. A., Barker-Collo, S. L., Barnighausen, T. W., Basu, S., Baune, B. T., Bayati, M., Bedi, N., Beghi, E., Bekuma, T. T., Bell, A. W., Bell, M. L., Benjet, C., Bensenor, I. M., Berhe, A. K., Berhe, K., Berman, A. E., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhattacharyya, K., Bhattarai, S., Bhutta, Z. A., Bijani, A., Bikbov, B., Biondi, A., Birhanu, T. T. M., Biswas, R. K., Bohlouli, S., Bolla, S. R., Boloor, A., Borschmann, R., Boufous, S., Bragazzi, N. L., Braithwaite, D., Breitborde, N. J. K., Brenner, H., Britton, G. B., Burns, R. A., Burugina Nagaraja, S., Butt, Z. A., Caetano dos Santos, F. L., Camera, L. A., Campos-Nonato, I. R., Campuzano Rincon, J. C., Cardenas, R., Carreras, G., Carrero, J. J., Carvalho, F., Castaldelli-Maia, J. M., Castaneda-Orjuela, C. A., Castelpietra, G., Catala-Lopez, F., Cerin, E., Chandan, J. S., Chang, H. -Y., Chang, J. -C., Charan, J., Chattu, V. K., Chaturvedi, S., Choi, J. -Y. J., Chowdhury, M. A. K., Christopher, D. J., Chu, D. -T., Chung, M. T., Chung, S. -C., Cicuttini, F. M., Constantin, T. V., Costa, V. M., Dahlawi, S. M. A., Dai, H., Dai, X., Damiani, G., Dandona, L., Dandona, R., Daneshpajouhnejad, P., Darwesh, A. M., Davila-Cervantes, C. A., Davletov, K., De la Hoz, F. P., De Leo, D., Dervenis, N., Desai, R., Desalew, A., Deuba, K., Dharmaratne, S. D., Dhungana, G. P., Dianatinasab, M., Dias da Silva, D., Diaz, D., Didarloo, A., Djalalinia, S., Dorostkar, F., Doshi, C. P., Doshmangir, L., Doyle, K. E., Duraes, A. R., Ebrahimi Kalan, M., Ebtehaj, S., Edvardsson, D., El Tantawi, M., Elgendy, I. Y., El-Jaafary, S. I., Elsharkawy, A., Eshrati, B., Eskandarieh, S., Esmaeilnejad, S., Esmaeilzadeh, F., Esteghamati, S., Faro, A., Farzadfar, F., Fattahi, N., Feigin, V. L., Ferede, T. Y., Fereshtehnejad, S. -M., Fernandes, E., Ferrara, P., Filip, I., Fischer, F., Fisher, J. L., Foigt, N. A., Folayan, M. O., Fomenkov, A. A., Foroutan, M., Fukumoto, T., Gad, M. M., Gaidhane, A. M., Gallus, S., Gebre, T., Gebremedhin, K. B., Gebremeskel, G. G., Gebremeskel, L., Gebreslassie, A. A., Gesesew, H. A., Ghadiri, K., Ghafourifard, M., Ghamari, F., Ghashghaee, A., Gilani, S. A., Gnedovskaya, E. V., Godinho, M. A., Golechha, M., Goli, S., Gona, P. N., Gopalani, S. V., Gorini, G., Grivna, M., Gubari, M. I. M., Gugnani, H. C., Guimaraes, R. A., Guo, Y., Gupta, R., Haagsma, J. A., Hafezi-Nejad, N., Haile, T. G., Haj-Mirzaian, A., Hall, B. J., Hamadeh, R. R., Hamagharib Abdullah, K., Hamidi, S., Handiso, D. W., Hanif, A., Hankey, G. J., Haririan, H., Haro, J. M., Hasaballah, A. 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M, Sudaryanto, A, Sultan, I, Tabares-Seisdedos, R, Tabuchi, T, Tadakamadla, S, Taherkhani, A, Tamiru, A, Tareque, M, Thankappan, K, Thapar, R, Thomas, N, Titova, M, Tonelli, M, Tovani-Palone, M, Tran, B, Travillian, R, Tsai, A, Tsatsakis, A, Tudor Car, L, Uddin, R, Unim, B, Unnikrishnan, B, Upadhyay, E, Vacante, M, Valadan Tahbaz, S, Valdez, P, Varughese, S, Vasankari, T, Venketasubramanian, N, Villeneuve, P, Violante, F, Vlassov, V, Vos, T, Vu, G, Waheed, Y, Wamai, R, Wang, Y, Westerman, R, Wickramasinghe, N, Wu, A, Wu, C, Yahyazadeh Jabbari, S, Yamagishi, K, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yeshitila, Y, Yip, P, Yonemoto, N, Yoon, S, Younis, M, Yousefinezhadi, T, Yu, C, Yu, Y, Yuce, D, Zaidi, S, Zaman, S, Zamani, M, Zamanian, M, Zarafshan, H, Zarei, A, Zastrozhin, M, Zhang, Y, Zhang, Z, Zhao, X, Zhu, C, Patton, G, and Viner, R
Subjects: Male, Joves -- Mortalitat, ADOLESCENT HEALTH, CHILDREN, Socioeconomic Factor, Global Burden of Disease, RA0421, Cause of Death, Medicine, Young adult, Child, 11 Medical and Health Sciences, Cause of death, education.field_of_study, Adolescent, Age Distribution, Female, Humans, Mortality, Sex Distribution, Socioeconomic Factors, Young Adult, Mortality rate, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Articles, Hälsovetenskaper, MIDDLE-INCOME, MENTAL-HEALTH, Adolescent health, INTERVENTIONS, Human, SUICIDE, Total fertility rate, Population, Adolescent Health, Adolescents -- Mortalitat, General & Internal Medicine, Health Sciences, QUALITY, Medicine [Science], Social determinants of health, INCOME COUNTRIES, education, business.industry, TRENDS, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Years of potential life lost, INJURIES, business, Demography
Abstract: Background Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10–24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10–24 years by age group (10–14 years, 15–19 years, and 20–24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10–24 years with that in children aged 0–9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10–24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). Findings In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39–1·59) worldwide in people aged 10–24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10–14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15–19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1–4 years (2·4%), and around a third less than in females aged 1–4 years (2·5%). The proportion of global deaths in people aged 0–24 years that occurred in people aged 10–24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. Interpretation Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10–24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. Funding Bill & Melinda Gates Foundation.
Published: 2021

5. Mapping routine measles vaccination in low- and middle-income countries

Author: Sbarra, AN, Rolfe, S, Nguyen, JQ, Earl, L, Galles, NC, Marks, A, Abbas, KM, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abegaz, KH, Abiy, HAA, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Adabi, M, Adebayo, OM, Adekanmbi, V, Adetokunboh, OO, Adham, D, Afarideh, M, Aghaali, M, Ahmad, T, Ahmadi, R, Ahmadi, K, Ahmed, MB, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemnew, BT, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipoor, R, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, KA, Amare, B, Amini, S, Amini-Rarani, M, Amiri, F, Amit, AML, Amugsi, DA, Ancuceanu, R, Andrei, CL, Anjomshoa, M, Ansari, F, Ansari-Moghaddam, A, Ansha, MG, Antonio, CAT, Antriyandarti, E, Anvari, D, Arabloo, J, Arab-Zozani, M, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Aliabadi, M, Asgari, S, Atafar, Z, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azadmehr, A, Azari, S, Babaee, E, Badawi, A, Badiye, AD, Bahrami, MA, Baig, AA, Bakhtiari, A, Balakrishnan, S, Banach, M, Banik, PC, Barac, A, Baradaran-Seyed, Z, Baraki, AG, Basu, S, Bayati, M, Bayou, YT, Bedi, N, Behzadifar, M, Bell, ML, Berbada, DA, Berhe, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Birhanu, M, Bisanzio, D, Biswas, A, Bohlouli, S, Bolla, SR, Borzouei, S, Brady, OJ, Bragazzi, NL, Briko, AN, Briko, NI, Nagaraja, SB, Butt, ZA, Cámera, LA, Campos-Nonato, IR, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castro, F, Chattu, VK, Chehrazi, M, Chin, KL, Chu, D-T, Cook, AJ, Cormier, NM, Cunningham, B, Dahlawi, SMA, Damiani, G, Dandona, R, Dandona, L, Danovaro, MC, Dansereau, E, Daoud, F, Darwesh, AM, Darwish, AH, Das, JK, Weaver, ND, De Neve, J-W, Demeke, FM, Demis, AB, Denova-Gutiérrez, E, Desalew, A, Deshpande, A, Desta, DM, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, Diaz, D, Dipeolu, IO, Djalalinia, S, Do, HT, Dorostkar, F, Doshmangir, L, Doyle, KE, Dunachie, SJ, Duraes, AR, Kalan, ME, Leylabadlo, HE, Edinur, HA, Effiong, A, Eftekhari, A, El, Sayed, I, El, Sayed, Zaki, M, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Elsharkawy, A, Emamian, MH, Enany, S, Eshrati, B, Eskandari, K, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, A, Etisso, AE, Farahmand, M, Faraon, EJA, Fareed, M, Faridnia, R, Farioli, A, Farzadfar, F, Fattahi, N, Fazlzadeh, M, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Foroutan, M, Fukumoto, T, Fullman, N, Gad, MM, Geberemariyam, BS, Gebrehiwot, TT, Gebrehiwot, AM, Gebremariam, KT, Gebremedhin, KB, Gebremeskel, GG, Gebreslassie, AA, Gedefaw, GA, Gezae, KE, Ghadiri, K, Ghaffari, R, Ghaffarifar, F, Ghajarzadeh, M, Gheshlagh, RG, Ghashghaee, A, Ghiasvand, H, Gholamian, A, Gilani, SA, Gill, PS, Girmay, A, Gomes, NGM, Gopalani, SV, Goulart, BNG, Grada, A, Guimarães, RA, Guo, Y, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Handiso, DW, Hanif, A, Haririan, H, Hasaballah, AI, Hasan, MM, Hasanpoor, E, 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Kosen, S, Koul, PA, Koyanagi, A, Kraemer, MUG, Krishan, K, Kuate Defo, B, Kumar, M, Kumar, P, Kumar, GA, Kusuma, D, La Vecchia, C, Lacey, B, Lad, SD, Lal, DK, Lam, F, Lami, FH, Lansingh, VC, Larson, HJ, Lasrado, S, Lee, SWH, Lee, PH, LeGrand, KE, Lenjebo, TL, Li, S, Liang, X, Liu, PY, Lopukhov, PD, Machado, DB, Mahasha, PW, Mahdavi, MM, Maheri, M, Mahotra, NB, Maled, V, Maleki, S, Malik, MA, Malta, DC, Mansour-Ghanaei, F, Mansouri, B, Mansourian, M, Mansournia, MA, Martins-Melo, FR, Masaka, A, Mayala, BK, Mehndiratta, MM, Mehri, F, Mehta, KM, Memiah, PTN, Mendoza, W, Menezes, RG, Mengesha, MB, Mengesha, EW, Mestrovic, T, Mihretie, KM, Miller-Petrie, MK, Mills, EJ, Milne, GJ, Mirabi, P, Mirrakhimov, EM, Mirzaei, R, Mirzaei, M, Mirzaei, HR, Mirzaei, H, Mirzaei-Alavijeh, M, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, DK, Mohammad, Y, Mohammad, KA, Mohammad Gholi Mezerji, N, Mohammadbeigi, A, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohammed, AS, Mohammed, H, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, MA, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Joo, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Mosapour, A, Mouodi, S, Mousavi, SM, Khaneghah, AM, Mueller, UO, Muluneh, AG, Munro, SB, Murray, CJL, Murthy, GVS, Muthupandian, S, Naderi, M, Nagarajan, AJ, Naghavi, M, Nangia, V, Nansseu, JR, Nayak, VC, Nazari, J, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, HLT, Nguyen, CTK, Nguyen, TH, Nigatu, YT, Nikbakhsh, R, Nikfar, S, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Oh, I-H, Oladnabi, M, Olagunju, AT, Olusanya, JO, Olusanya, BO, Bali, AO, Omer, MO, Onwujekwe, OE, Osgood-Zimmerman, AE, Owolabi, MO, P, A, M, Padubidri, JR, Pakshir, K, Pana, A, Pandey, A, Pando-Robles, V, Pashaei, T, Pasupula, DK, Paternina-Caicedo, AJ, Patton, GC, Pazoki Toroudi, H, Pepito, VCF, Pescarini, JM, Pigott, DM, Pilgrim, T, Pirsaheb, M, Poljak, M, Postma, MJ, Pourjafar, H, Pourmalek, F, Pourmirza, Kalhori, R, Prada, SI, Prakash, S, Quazi Syed, Z, Quintana, H, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rajati, F, Rameto, MA, Ramezanzadeh, K, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rawat, R, Renjith, V, Renzaho, AMN, Reshmi, B, Reta, MA, Rezaei, N, Rezai, MS, Rezapour, A, Riahi, SM, Ribeiro, AI, Rickard, J, Rios-Blancas, M, Rios-González, CM, Roever, L, Rostamian, M, Rubino, S, Rwegerera, GM, Saad, AM, Saadatagah, S, Sabour, S, Sadeghi, E, Moghaddam, SS, Saeidi, S, Sagar, R, Sahebkar, A, Sahraian, MA, Sajadi, SM, Salahshoor, MR, Salam, N, Salem, H, Salem, MR, Salomon, JA, Kafil, HS, Sambala, EZ, Samy, AM, Saraswathy, SYI, Sarmiento-Suárez, R, Saroshe, S, Sartorius, B, Sarveazad, A, Sathian, B, Sathish, T, Schaeffer, LE, Schwebel, DC, Senthilkumaran, S, Shabaninejad, H, Shahabi, S, Shaheen, AA, Shaikh, MA, Shalash, AS, Shams-Beyranvand, M, Shamsi, MB, Shamsizadeh, M, Sharafi, K, Sharifi, H, Sheikh, A, Sheikhtaheri, A, Shetty, RS, Shiferaw, WS, Shigematsu, M, Shin, JI, Shirkoohi, R, Siabani, S, Siddiqi, TJ, Silverberg, JIS, Simonetti, B, Singh, JA, Sinha, DN, Sinke, AH, Soheili, A, Sokhan, A, Soltani, S, Soofi, M, Sorrie, MB, Soyiri, IN, Spotin, A, Spurlock, EE, Sreeramareddy, CT, Sudaryanto, A, Sufiyan, MB, Suleria, HAR, Abdulkader, RS, Taherkhani, A, Tapak, L, Taveira, N, Taymoori, P, Tefera, YM, Tehrani-Banihashemi, A, Teklehaimanot, BF, Tekulu, GH, Tesfay, BE, Tessema, ZT, Tessema, B, Thankappan, KR, Tohidinik, HR, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Uddin, R, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vaezi, M, Valadan, Tahbaz, S, Valdez, PR, Vasseghian, Y, Veisani, Y, Violante, FS, Vollmer, S, Waheed, Y, Wakefield, J, Wang, Y, Wang, Y-P, Weldesamuel, GT, Werdecker, A, Westerman, R, Wiangkham, T, Wiens, KE, Wiysonge, CS, Woldu, G, Wondafrash, DZ, Wonde, TE, Wu, A-M, Yadollahpour, A, Jabbari, SHY, Yamada, T, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yip, P, Yonemoto, N, Younis, MZ, Yousefi, Z, Yousefifard, M, Yousefinezhadi, T, Yu, C, Yusefzadeh, H, Zadey, S, Zahirian, Moghadam, T, Zaki, L, Zaman, SB, Zamani, M, Zamanian, M, Zandian, H, Zangeneh, A, Zarei, F, Zerfu, TA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zhou, M, Ziapour, A, Hay, SI, Lim, SS, Mosser, JF, Local Burden of Disease Vaccine Coverage Collaborators, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), HUS Comprehensive Cancer Center, Clinicum, Department of Oncology, Sbarra, Alyssa N., Rolfe, Sam, Nguyen, Jason Q., Earl, Lucas, Ahmed, MB, Mosser, Jonathan F, Collaborators, Local Burden of Disease Vaccine Coverage, Bill & Melinda Gates Foundation, Alexander von Humboldt-Stiftung, Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Universiti Sains Malaysia (Malasia), Panjab University (India), NIHR - Oxford Biomedical Research Centre (Reino Unido), Australian Research Council, Instituto de Saúde Pública da Universidade do Porto, Local Burden Dis Educ Attainment C, Local Burden of Disease Vaccine Coverage Collaborator, and Violante FS
Subjects: and promotion of well-being, Vacunación Masiva, Internationality, Disease prevention, children under 5 years old, Geographic Mapping, Rural Health, medicine.disease_cause, Cross-reactivity, 0302 clinical medicine, RA0421, Vaccination Refusal, 030212 general & internal medicine, Child, immunity patterns, Pediatric, 0303 health sciences, Public health, Multidisciplinary, biology, Vaccination, Uncertainty, IMMUNIZATION, 3142 Public health care science, environmental and occupational health, COVERAGE, 3. Good health, TIME, 3.4 Vaccines, Child, Preschool, Infectious diseases, A990 Medicine and Dentistry not elsewhere classified, Antibody, Engineering sciences. Technology, AFRICA, General Science & Technology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19, 610 Medicine & health, Global Vaccine Action Plan (GVAP), Local Burden of Disease Vaccine Coverage Collaborators, Article, Vaccine Related, 03 medical and health sciences, measles vaccine, Measels, Low- and middle-income countries, Local burden of disease, Clinical Research, medicine, Humans, Healthcare Disparities, Preschool, PROGRESS, 030304 developmental biology, business.industry, MORTALITY, Developed Countries, Prevention, Comment, Vacunación, Urban Health, Prevention of disease and conditions, Virology, Coronavirus, Good Health and Well Being, Cobertura de Vacunación, biology.protein, Immunization, business, Measles
Abstract: The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1–4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5–8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children., Although progress in the coverage of routine measles vaccination in children in low- and middle-income countries was made during 2000–2019, many countries remain far from the goal of 80% coverage in all districts by 2019.
Published: 2021

6. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Author: Paulson, KR, Kamath, AM, Alam, T, Bienhoff, K, Abady, GG, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, LG, Abu-Gharbieh, E, Abu-Rmeileh, NME, Abushouk, A, Adamu, AL, Adebayo, OM, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Adeyinka, DA, Adsuar, JC, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, BO, Ahmad, T, Ahmadi, K, Ahmed, MB, Aji, B, Akalu, Y, Akinyemi, OO, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, SM, Alipour, V, Alizade, H, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, KD, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Jafarabadi, MA, Athari, SS, Athari, SM, Atnafu, DD, Atreya, A, Atteraya, MS, Ausloos, M, Awan, AT, Quintanilla, BPA, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azarian, G, Azene, ZN, Darshan, BB, Babaee, E, Badiye, AD, Baig, AA, Banach, M, Banik, PC, Barker-Collo, SL, Barqawi, HJ, Bassat, Q, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, ML, Bendak, S, Bennett, DA, Bensenor, IM, Berhe, K, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bikbov, B, Biondi, A, Birihane, BM, Biswas, RK, Bohlouli, S, Bragazzi, NL, Breusov, A, Brunoni, AR, Burkart, K, Nagaraja, SB, Busse, R, Butt, ZA, dos Santos, FLC, Cahuana-Hurtado, L, Camargos, P, Camera, LA, Cardenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Castelpietra, G, Cerin, E, Chang, J-C, Chanie, WF, Charan, J, Chatterjee, S, 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Prasad, DRM, Maheri, M, Mahmoudi, M, Majeed, A, Maled, V, Maleki, A, Maleki, S, Malekzadeh, R, Malik, AA, Malta, DC, Mamun, AA, Mansouri, B, Mansournia, MA, Martinez, G, Martini, S, Martins-Melo, FR, Masoumi, SZ, Maulik, PK, McAlinden, C, McGrath, JJ, Medina-Solis, CE, Nasab, EM, Mejia-Rodriguez, F, Memish, ZA, Mendoza, W, Menezes, RG, Mengesha, EW, Mensah, GA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mini, GK, Miri, M, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Mirzaei, M, Moazen, B, Moghadaszadeh, M, Mohajer, B, Mohamad, O, Mohammad, Y, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moni, MA, Moore, CE, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Khaneghah, AM, Mustafa, G, Naderi, M, Nagarajan, AJ, Nagaraju, SP, Naghavi, M, Naghshtabrizi, B, Naimzada, MD, Nangia, V, Swamy, SN, Nascimento, BR, Naveed, M, Nazari, J, 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Sigurvinsdottir, R, Silva, JP, Silverberg, JIS, Simonetti, B, Singh, BB, Singh, JA, Singhal, D, Sinha, DN, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Sleet, DA, Sobaih, BH, Sobhiyeh, MR, Soltani, S, Soriano, JB, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Stokes, Mark, Stortecky, S, Sufiyan, MB, Abdulkader, RS, Sulo, G, Swope, CB, Sykes, BL, Szeto, MD, Szocska, M, Tabares-Seisdedos, R, Tadesse, EG, Taherkhani, A, Tamiru, AT, Tareque, MI, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Tessema, ZT, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathy, JP, Tsapparellas, G, Tsatsakis, A, Car, LT, Uddin, Riaz, Ullah, A, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Verma, M, Violante, FS, Vlassov, V, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Wang, Y-P, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, ND, Wilner, LB, Wiysonge, CS, Wu, A-M, Wu, C, Xie, Y, Jabbari, SHY, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, SS, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Ziapour, A, Hay, S, Murray, CJL, Wang, H, Kassebaum, NJ, Paulson, KR, Kamath, AM, Alam, T, Bienhoff, K, Abady, GG, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, LG, Abu-Gharbieh, E, Abu-Rmeileh, NME, Abushouk, A, Adamu, AL, Adebayo, OM, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Adeyinka, DA, Adsuar, JC, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, BO, Ahmad, T, Ahmadi, K, Ahmed, MB, Aji, B, Akalu, Y, Akinyemi, OO, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, SM, Alipour, V, Alizade, H, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, KD, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Jafarabadi, MA, Athari, SS, Athari, SM, Atnafu, DD, Atreya, A, Atteraya, MS, Ausloos, M, Awan, AT, Quintanilla, BPA, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azarian, G, Azene, ZN, Darshan, BB, Babaee, E, Badiye, AD, Baig, AA, Banach, M, Banik, PC, Barker-Collo, SL, Barqawi, HJ, Bassat, Q, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, ML, Bendak, S, Bennett, DA, Bensenor, IM, Berhe, K, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bikbov, B, Biondi, A, Birihane, BM, Biswas, RK, Bohlouli, S, Bragazzi, NL, Breusov, A, Brunoni, AR, Burkart, K, Nagaraja, SB, Busse, R, Butt, ZA, dos Santos, FLC, Cahuana-Hurtado, L, Camargos, P, Camera, LA, Cardenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Castelpietra, G, Cerin, E, Chang, J-C, Chanie, WF, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chaturvedi, S, Chen, S, Cho, DY, Choi, J-YJ, Chu, D-T, Ciobanu, LG, Cirillo, M, Conde, J, Costa, VM, Couto, RAS, Dachew, BA, Dahlawi, SMA, Dai, H, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darmstadt, GL, Das, JK, Davila-Cervantes, CA, Davis, AC, Davletov, K, De la Hoz, FP, De Leo, D, Deeba, F, Denova-Gutierrez, E, Dervenis, N, Desalew, A, Deuba, K, Dey, S, Dharmaratne, SD, Dhingra, S, Dhungana, GP, da Silva, DD, Diaz, D, Dorostkar, F, Doshmangir, L, Dubljanin, E, Duraes, AR, Eagan, AW, Edinur, HA, Efendi, F, Eftekharzadeh, S, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, IY, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, PS, Farzadfar, F, Fattahi, N, Fauk, NK, Fazlzadeh, M, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Foroutan, M, Franklin, RC, Freitas, M, Friedman, SD, Fukumoto, T, Gad, MM, Gaidhane, AM, Gaidhane, S, Gaihre, S, Gallus, S, Garcia-Basteiro, AL, Garcia-Gordillo, M, Gardner, WM, Fonseca, MG, Gebremedhin, KB, Getacher, L, Ghashghaee, A, Gholamian, A, Gilani, SA, Gill, TK, Giussani, G, Gnedovskaya, E, Godinho, MA, Goel, A, Golechha, M, Gona, PN, Gopalani, SV, Goudarzi, H, Grivna, M, Gugnani, HC, Guido, D, Guimaraes, RA, Das Gupta, R, Gupta, R, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hanif, A, Hankey, GJ, Hargono, A, Hasaballah, A, Hasan, MM, Hasan, SS, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hayat, K, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Hole, MK, Holla, R, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Inbaraj, LR, Iqbal, K, Iqbal, U, Islam, MM, Shariful Islam, Sheikh, Iso, H, Iwagami, M, Iwu, CCD, Jaafari, J, Jacobsen, KH, Jagnoor, J, Jain, V, Janodia, MD, Javaheri, T, Javanmardi, F, Jayaram, S, Jayatilleke, AU, Jenabi, E, Jha, RP, Ji, JS, John, O, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kamyari, N, Kanchan, T, Kapoor, N, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Kemmer, L, Khalid, N, Khalilov, R, Khammarnia, M, Khan, EA, Khan, G, Khan, M, Khan, MN, Khang, Y-H, Khatab, K, Khater, AM, Khater, MM, Khayamzadeh, M, Khosravi, A, Kim, D, Kim, Y-E, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Kissoon, N, Kopec, JA, Kosen, S, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Defo, BK, Bicer, BK, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kurmi, OP, Kusuma, D, La Vecchia, C, Lacey, B, Lalloo, R, Lami, FH, Landires, I, Larsson, AO, Lasrado, S, Lassi, ZS, Lauriola, P, Lee, PH, Lee, SWH, Lee, YH, Leigh, J, Leonardi, M, Lewycka, S, Li, B, Li, S, Liang, J, Lim, L-L, Limenih, MA, Lin, R-T, Liu, X, Lodha, R, Lopez, AD, Lozano, R, Lugo, A, Lunevicius, R, Mackay, MT, Kunjathur, SM, Magnani, FG, Prasad, DRM, Maheri, M, Mahmoudi, M, Majeed, A, Maled, V, Maleki, A, Maleki, S, Malekzadeh, R, Malik, AA, Malta, DC, Mamun, AA, Mansouri, B, Mansournia, MA, Martinez, G, Martini, S, Martins-Melo, FR, Masoumi, SZ, Maulik, PK, McAlinden, C, McGrath, JJ, Medina-Solis, CE, Nasab, EM, Mejia-Rodriguez, F, Memish, ZA, Mendoza, W, Menezes, RG, Mengesha, EW, Mensah, GA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mini, GK, Miri, M, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Mirzaei, M, Moazen, B, Moghadaszadeh, M, Mohajer, B, Mohamad, O, Mohammad, Y, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moni, MA, Moore, CE, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Khaneghah, AM, Mustafa, G, Naderi, M, Nagarajan, AJ, Nagaraju, SP, Naghavi, M, Naghshtabrizi, B, Naimzada, MD, Nangia, V, Swamy, SN, Nascimento, BR, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Negoi, RI, Nena, E, Nepal, S, Netsere, HB, Nguefack-Tsague, G, Ngunjiri, JW, Chi, TYN, Cuong, TN, Huong, LTN, Nigatu, YT, Nigussie, SN, Nixon, MR, Nnaji, CA, Nomura, S, Noor, NM, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Ogbo, FA, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pakhale, S, Pakshir, K, Pal, PK, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pardo-Montano, AM, Park, E-K, Patel, SK, Patton, GC, Pawar, S, Toroudi, HP, Peden, AE, Pepito, VCF, Peprah, EK, Pereira, J, Perez-Gomez, J, Perico, N, Pesudovs, K, Pilgrim, T, Pinheiro, M, Piradov, MA, Pirsaheb, M, Platts-Mills, JA, Pokhrel, KN, Postma, MJ, Pourjafar, H, Prada, S, Prakash, S, Pupillo, E, Syed, ZQ, Rabiee, N, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahimzadeh, S, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawasia, WF, Rawassizadeh, R, Jr, RCR, Remuzzi, G, Renzaho, AMN, Reshmi, B, Resnikoff, S, Rezaei, N, Rezapour, A, Riahi, SM, Ribeiro, D, Rickard, J, Roever, L, Ronfani, L, Rothenbacher, D, Rubagotti, E, Rumisha, SF, Ryan, PM, Saddik, B, Sadeghi, E, Moghaddam, SS, Sagar, R, Sahebkar, A, Salahshoor, MR, Salehi, S, Salem, MR, Salimzadeh, H, Salomon, JA, Samodra, YL, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Saya, GK, Saylan, M, Schiavolin, S, Schlaich, MP, Schwebel, DC, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Sha, F, Shafaat, O, Shahabi, S, Shahbaz, M, Shaheen, AA, Shahid, I, Shaikh, MA, Shakiba, S, Shalash, AS, Shams-Beyranvand, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shiferaw, WS, Shigematsu, M, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siddiqi, TJ, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Silverberg, JIS, Simonetti, B, Singh, BB, Singh, JA, Singhal, D, Sinha, DN, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Sleet, DA, Sobaih, BH, Sobhiyeh, MR, Soltani, S, Soriano, JB, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Stokes, Mark, Stortecky, S, Sufiyan, MB, Abdulkader, RS, Sulo, G, Swope, CB, Sykes, BL, Szeto, MD, Szocska, M, Tabares-Seisdedos, R, Tadesse, EG, Taherkhani, A, Tamiru, AT, Tareque, MI, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Tessema, ZT, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathy, JP, Tsapparellas, G, Tsatsakis, A, Car, LT, Uddin, Riaz, Ullah, A, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Verma, M, Violante, FS, Vlassov, V, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Wang, Y-P, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, ND, Wilner, LB, Wiysonge, CS, Wu, A-M, Wu, C, Xie, Y, Jabbari, SHY, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, SS, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Ziapour, A, Hay, S, Murray, CJL, Wang, H, and Kassebaum, NJ
Published: 2021

7. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: An analysis for the Global Burden of Disease Study

Author: Bourne, RRA, Steinmetz, JD, Saylan, M, Mersha, AM, Weldemariam, AH, Wondmeneh, TG, Sreeramareddy, CT, Pinheiro, M, Yaseri, M, Yu, C, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zimsen, SRM, Yonemoto, N, Tsegaye, GW, Vu, GT, Vongpradith, A, Renzaho, AMN, Sorrie, MB, Shaheen, AA, Shiferaw, WS, Skryabin, VY, Skryabina, AA, Saya, GK, Rahimi-Movaghar, V, Shigematsu, M, Sahraian, MA, Naderifar, H, Sabour, S, Rathi, P, Sathian, B, Miller, TR, Rezapour, A, Rawal, L, Pham, HQ, Parekh, U, Podder, V, Onwujekwe, OE, Pasovic, M, Otstavnov, N, Negash, H, Pawar, S, Naimzada, MD, Al Montasir, A, Ogbo, FA, Owolabi, MO, Pakshir, K, Mohammad, Y, Moni, MA, Nunez-Samudio, V, Mulaw, GF, Naveed, M, Maleki, S, Michalek, IM, Misra, S, Swamy, SN, Mohammed, JA, Flaxman, S, Park, EC, Briant, PS, Meles, GG, Hayat, K, Landires, I, Kim, GR, Liu, X, LeGrand, KE, Taylor, HR, Kunjathur, SM, Khoja, TAM, Bicer, BK, Khalilov, R, Hashi, A, Kayode, GA, Carneiro, VLA, Kavetskyy, T, Kosen, S, Kulkarni, V, Holla, R, Kalhor, R, Jayaram, S, Islam, Shariful, Gilani, SA, Eskandarieh, S, Molla, MD, Itumalla, R, Farzadfar, F, Congdon, NG, Elhabashy, HR, Elayedath, R, Couto, RAS, Dervenis, N, Cromwell, EA, Dahlawi, SMA, Resnikoff, S, Casson, RJ, Abdoli, A, Choi, JYJ, Dos Santos, FLC, Abrha, WA, Bourne, RRA, Steinmetz, JD, Saylan, M, Mersha, AM, Weldemariam, AH, Wondmeneh, TG, Sreeramareddy, CT, Pinheiro, M, Yaseri, M, Yu, C, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zimsen, SRM, Yonemoto, N, Tsegaye, GW, Vu, GT, Vongpradith, A, Renzaho, AMN, Sorrie, MB, Shaheen, AA, Shiferaw, WS, Skryabin, VY, Skryabina, AA, Saya, GK, Rahimi-Movaghar, V, Shigematsu, M, Sahraian, MA, Naderifar, H, Sabour, S, Rathi, P, Sathian, B, Miller, TR, Rezapour, A, Rawal, L, Pham, HQ, Parekh, U, Podder, V, Onwujekwe, OE, Pasovic, M, Otstavnov, N, Negash, H, Pawar, S, Naimzada, MD, Al Montasir, A, Ogbo, FA, Owolabi, MO, Pakshir, K, Mohammad, Y, Moni, MA, Nunez-Samudio, V, Mulaw, GF, Naveed, M, Maleki, S, Michalek, IM, Misra, S, Swamy, SN, Mohammed, JA, Flaxman, S, Park, EC, Briant, PS, Meles, GG, Hayat, K, Landires, I, Kim, GR, Liu, X, LeGrand, KE, Taylor, HR, Kunjathur, SM, Khoja, TAM, Bicer, BK, Khalilov, R, Hashi, A, Kayode, GA, Carneiro, VLA, Kavetskyy, T, Kosen, S, Kulkarni, V, Holla, R, Kalhor, R, Jayaram, S, Islam, Shariful, Gilani, SA, Eskandarieh, S, Molla, MD, Itumalla, R, Farzadfar, F, Congdon, NG, Elhabashy, HR, Elayedath, R, Couto, RAS, Dervenis, N, Cromwell, EA, Dahlawi, SMA, Resnikoff, S, Casson, RJ, Abdoli, A, Choi, JYJ, Dos Santos, FLC, and Abrha, WA
Published: 2021

8. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study

Author: Steinmetz, JD, Bourne, RRA, Briant, PS, Flaxman, S, Taylor, HR, Jonas, JB, Abdoli, A, Abrha, WA, Abualhasan, A, Abu-Gharbieh, E, Adal, TG, Afshin, A, Ahmadieh, H, Alemayehu, W, Alemzadeh, SA, Alfaar, AS, Alipour, V, Androudi, S, Arabloo, J, Arditi, A, Aregawi, BB, Arrigo, A, Ashbaugh, C, Ashrafi, E, Atnafu, DD, Bagli, E, Baig, AA, Barnighausen, TW, Parodi, MB, Beheshti, M, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bijani, A, Bikbov, M, Bottone, M, Braithwaite, T, Bron, AM, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Carneiro, VLA, Casson, RJ, Cheng, C-Y, Choi, J-YJ, Chu, D-T, Cicinelli, MV, Coelho, JM, Congdon, NG, Couto, RAS, Cromwell, EA, Dahlawi, SMA, Dai, X, Dana, R, Dandona, L, Dandona, R, Del Monte, MA, Molla, MD, Dervenis, N, Desta, AA, Deva, JP, Diaz, D, Djalalinia, S, Ehrlich, JR, Elayedath, R, Elhabashy, HR, Ellwein, LB, Emamian, MH, Eskandarieh, S, Farzadfar, F, Fernandes, AG, Fischer, F, Friedman, DS, Furtado, JM, Gaidhane, S, Gazzard, G, Gebremichael, B, George, R, Ghashghaee, A, Gilani, SA, Golechha, M, Hamidi, S, Hammond, BR, Hartnett, MER, Hartono, RK, Hashi, A, Hay, S, Hayat, K, Heidari, G, Ho, HC, Holla, R, Househ, M, Huang, JJ, Ibitoye, SE, Ilic, IM, Ilic, MD, Ingram, AD, Irvani, SSN, Islam, SMS, Itumalla, R, Jayaram, S, Jha, RP, Kahloun, R, Kalhor, R, Kandel, H, Kasa, AS, Kavetskyy, T, Kayode, GA, Kempen, JH, Khairallah, M, Khalilov, R, Khan, EA, Khanna, RC, Khatib, MN, Khoja, TAM, Kim, GR, Kim, JE, Kim, YJ, Kisa, A, Kisa, S, Kosen, S, Koyanagi, A, Bicer, BK, Kulkarni, V, Kurmi, OP, Landires, I, Lansingh, VC, Leasher, JL, LeGrand, KE, Leveziel, N, Limburg, H, Liu, X, Kunjathur, SM, Maleki, S, Manafi, N, Mansouri, K, McAlinden, C, Meles, GG, Mersha, AM, Michalek, IM, Miller, TR, Misra, S, Mohammad, Y, Mohammadi, SF, Mohammed, JA, Mokdad, AH, Moni, MA, Al Montasir, A, Morse, AR, Mulaw, GF, Naderi, M, Naderifar, H, Naidoo, KS, Naimzada, MD, Nangia, V, Swamy, SN, Naveed, M, Negash, H, Huong, LTN, Nunez-Samudio, V, Ogbo, FA, Ogundimu, K, Olagunju, AT, Onwujekwe, OE, Otstavnov, N, Owolabi, MO, Pakshir, K, Panda-Jonas, S, Parekh, U, Park, E-C, Pasovic, M, Pawar, S, Pesudovs, K, Peto, T, Pham, HQ, Pinheiro, M, Podder, V, Rahimi-Movaghar, V, Rahman, MHU, Ramulu, PY, Rathi, P, Rawaf, DL, Rawaf, S, Rawal, L, Reinig, N, Renzaho, AMN, Rezapour, A, Robin, AL, Rossetti, L, Sabour, S, Safi, S, Sahebkar, A, Sahraian, MA, Samy, AM, Sathian, B, Saya, GK, Saylan, M, Shaheen, AA, Shaikh, MA, Shen, TT, Shibuya, K, Shiferaw, WS, Shigematsu, M, Shin, JI, Silva, JC, Silvester, A, Singh, JA, Singhal, D, Sitorus, RS, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Soheili, A, Sorrie, MB, Sousa, RARC, Sreeramareddy, CT, Stambolian, D, Tadesse, EG, Tahhan, N, Tareque, MI, Topouzis, F, Bach, XT, Tsegaye, GW, Tsilimbaris, MK, Varma, R, Virgili, G, Vongpradith, A, Vu, GT, Wang, YX, Wang, N, Weldemariam, AH, West, SK, Wondmeneh, TG, Wong, TY, Yaseri, M, Yonemoto, N, Yu, C, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Zimsen, 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Zhang, Z-J, Zimsen, SRM, Resnikoff, S, and Vos, T
Abstract: BACKGROUND: Many causes of vision impairment can be prevented or treated. With an ageing global population, the demands for eye health services are increasing. We estimated the prevalence and relative contribution of avoidable causes of blindness and vision impairment globally from 1990 to 2020. We aimed to compare the results with the World Health Assembly Global Action Plan (WHA GAP) target of a 25% global reduction from 2010 to 2019 in avoidable vision impairment, defined as cataract and undercorrected refractive error. METHODS: We did a systematic review and meta-analysis of population-based surveys of eye disease from January, 1980, to October, 2018. We fitted hierarchical models to estimate prevalence (with 95% uncertainty intervals [UIs]) of moderate and severe vision impairment (MSVI; presenting visual acuity from <6/18 to 3/60) and blindness (<3/60 or less than 10° visual field around central fixation) by cause, age, region, and year. Because of data sparsity at younger ages, our analysis focused on adults aged 50 years and older. FINDINGS: Global crude prevalence of avoidable vision impairment and blindness in adults aged 50 years and older did not change between 2010 and 2019 (percentage change -0·2% [95% UI -1·5 to 1·0]; 2019 prevalence 9·58 cases per 1000 people [95% IU 8·51 to 10·8], 2010 prevalence 96·0 cases per 1000 people [86·0 to 107·0]). Age-standardised prevalence of avoidable blindness decreased by -15·4% [-16·8 to -14·3], while avoidable MSVI showed no change (0·5% [-0·8 to 1·6]). However, the number of cases increased for both avoidable blindness (10·8% [8·9 to 12·4]) and MSVI (31·5% [30·0 to 33·1]). The leading global causes of blindness in those aged 50 years and older in 2020 were cataract (15·2 million cases [9% IU 12·7-18·0]), followed by glaucoma (3·6 million cases [2·8-4·4]), undercorrected refractive error (2·3 million cases [1·8-2·8]), age-related macular degeneration (1·8 million cases [1·3-2·4]), and diabetic retinopathy (0·86 mill
Published: 2021

9. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Kyu, Hh, Abate, D, Abate, Kh, Abay, Sm, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, Rs, Abebe, M, Abebe, Z, Abil, Oz, Aboyans, V, Abrham, Ar, Abu-Raddad, Lj, Abu-Rmeileh, Nme, Accrombessi, Mmk, Acharya, D, Acharya, P, Ackerman, In, Adamu, Aa, Adebayo, Om, Adekanmbi, V, Ademi, Z, Adetokunboh, Oo, Adib, Mg, Adsuar, Jc, Afanvi, Ka, Afarideh, M, Afshin, A, Agarwal, G, Agesa, Km, Aggarwal, R, Aghayan, Sa, Agrawal, A, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, Mb, Ahmed, S, Aichour, An, Aichour, I, Aichour, Mte, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, Hm, Al-Raddadi, Rm, Alahdab, F, Alam, K, Alam, T, Alashi, A, Alavian, Sm, Alene, Ka, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, Sm, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Aminde, Ln, Amini, E, Amiresmaili, M, Ammar, W, Amoako, Ya, Anber, Nh, Andrei, Cl, Androudi, S, Animut, Md, Anjomshoa, M, Ansha, 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Subjects: Male, Health Status, health statu, HALE, mortality rate, communicable disease, DALYs, Global Burden of Disease, Risk Factors, Prevalence, Medicine and Health Sciences, Singapore, OUTCOMES, disability-adjusted life year, international cooperation, Medicine (all), 11 Medical And Health Sciences, Central African Republic, newborn disease, IRON-DEFICIENCY, AIDS, priority journal, Bahrain, disease severity, Female, Quality-Adjusted Life Years, cerebrovascular accident, Ukraine, Life Sciences & Biomedicine, INTERVENTIONS, Slovakia, DISORDERS, Burundi, WEIGHTS, GBD 2017 DALYs and HALE Collaborators, Communicable Diseases, Article, STYLE, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, Humans, Disabled Persons, human, Healthy Lifestyle, HALE, DALYs, global burden of disease, Mortality, Aged, Science & Technology, Mortality, Premature, HIV, ischemic heart disease, major clinical study, PREVENTION, non communicable disease, GBD, disability-adjusted life-years, age, sex factor, Socioeconomic Factors, Algeria, Federation of Bosnia and Herzegovina, lower respiratory tract infection, Wounds and Injuries, GENDER, Human medicine, trend study, chronic obstructive lung disease
Abstract: Background How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7.4 years (95% uncertainty interval 74-7.8), from 65.6 years (65.3-65- 8) in 1990 to 73.0 years (72.7-73.3) in 2017. The increase in years of life varied from 5.1 years (5.0-5.3) in high SDI countries to 12.0 years (11.3-12.8) in low SDI countries. Of the additional years of life expected at birth, 26.3% (20.1-33.1) were expected to be spent in poor health in high SDI countries compared with 11.7% (8.8-15.1) in low-middle SDI countries. HALE at birth increased by 6.3 years (5.9-6.7), from 57.0 years (54.6-59.1) in 1990 to 63.3 years (60.5-65.7) in 2017. The increase varied from 3.8 years (3.4-4.1) in high SDI countries to 10.5 years (9.8-11.2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1.0 year (0.4-1.7) in Saint Vincent and the Grenadines (62.4 years [59.9-64.7] in 1990 to 63.5 years [60.9-65.8] in 2017) to 23.7 years (21.9-25.6) in Eritrea (30.7 years [28.9-32.2] in 1990 to 54.4 years [51.5-57.1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1.4 years (0.6-2.3) in Algeria to 11.9 years (10.9-12.9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75.8 years [72.4-78.7]) and males (72.6 years [69 " 8-75.0]) and the lowest estimates were in Central African Republic (47.0 years [43.7-50.2] for females and 42.8 years [40.1-45.6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41.3% (38.8-43.5) for communicable diseases and by 49"8% (47.9-51.6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40.1% (36.8-43.0), although age-standardised DALY rates decreased by 18.1% (16.0-20.2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low S DI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

10. Isolation of Aphanomyces invadans Associated with Skin Lesions in African Catfish" Clarias gariepinus"

Author: Youssuf, Hadeer, primary, Abdel Gwad, Eman, additional, El-Asely, Amel, additional, Elabd, Hiam, additional, Shaheen, AA, additional, and Abbass, Amany, additional
Published: 2017
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11. Predicting in-hospital mortality in patients undergoing complex gastrointestinal surgery: determining the optimal risk adjustment method.

Author: Grendar J, Shaheen AA, Myers RP, Parker R, Vollmer CM Jr, Ball CG, Quan ML, Kaplan GG, Al-Manasra T, and Dixon E
Published: 2012

12. Utilization of thyroidectomy for benign disease in the United States: a 15-year population-based study.

Author: Ho TW, Shaheen AA, Dixon E, and Harvey A
Published: 2011

13. Unintended pregnancy in Egypt: evidence from the national study on women giving birth in 1999.

Author: Shaheen AA, Diaaeldin M, Chaaya M, and El Roueiheb Z
Abstract: The current study aimed to estimate the prevalence and correlates of unintended pregnancy among ever-married women. The study sample was 2349 ever-married women aged 15-49 years who gave birth in 1999. Unintended pregnancy was defined as unwanted and mistimed pregnancies. Of these, 431 (18.5%) women reported unintended pregnancy: 137 were mistimed (5.9%) and 294 were unwanted (12.6%). Women of older age, living in frontier governorates, with poor knowledge of the ovulatory cycle, having a more than ideal family size, using contraceptive methods and having 4 or more children were at increased odds of reporting unintended pregnancies. Fewer antenatal care visits and low child weight at birth were significantly associated with unintended pregnancy. [ABSTRACT FROM AUTHOR]
Published: 2007
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14. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Author: Abbafati, C., Machado, D.B., Cislaghi, B., Salman, O.M., Karanikolos, M., McKee, M., Abbas, K.M., Brady, O.J., Larson, H.J., Trias-Llimós, S., Cummins, S., Langan, S.M., Sartorius, B., Hafiz, A., Jenabi, E., Mohammad Gholi Mezerji, N., Borzouei, S., Azarian, G., Khazaei, S., Abbasi, M., Asghari, B., Masoumi, S., Komaki, H., Taherkhani, A., Adabi, M., Abbasifard, M., Bazmandegan, G., Kamiab, Z., Vakilian, A., Anjomshoa, M., Mokari, A., Sabour, S., Shahbaz, M., Saeedi, R., Ahmadieh, H., Yousefinezhadi, T., Haj-Mirzaian, A., Nikbakhsh, R., Safi, S., Asgari, S., Irvani, S.N., Jahanmehr, N., Ramezanzadeh, K., Abbasi-Kangevari, M., Khayamzadeh, M., Abbastabar, H., Shirkoohi, R., Fazlzadeh, M., Janjani, H., Hosseini, M., Mansournia, M., Tohidinik, H., Bakhtiari, A., Fazaeli, A., Mousavi, S., Hasanzadeh, A., Nabavizadeh, B., Malekzadeh, R., Hashemian, M., Pourshams, A., Salimzadeh, H., Sepanlou, S.G., Afarideh, M., Esteghamati, A., Esteghamati, S., Ghajar, A., Heidari, B., Rezaei, N., Mohamadi, E., Rahimi-Movaghar, A., Rahim, F., Eskandarieh, S., Sahraian, M., Mohebi, F., Aminorroaya, A., Ebrahimi, H., Farzadfar, F., Mohajer, B., Pishgar, F., Saeedi Moghaddam, S., Shabani, M., Zarafshan, H., Abolhassani, H., Hafezi-Nejad, N., Heidari-Soureshjani, R., Abdollahi, M., Farahmand, M., Salamati, P., Mehrabi Nasab, E., Tajdini, M., Aghamir, S., Mirzaei, R., Dibaji Forooshani, Z., Khater, M.M., Abd-Allah, F., Abdelalim, A., Abualhasan, A., El-Jaafary, S.I., Hassan, A., Elsharkawy, A., Khater, A.M., Elhabashy, H.R., Salem, M.R.R., Salem, H., Sadeghi, M., Jafarinia, M., Amini-Rarani, M., Mohammadifard, N., Sarrafzadegan, N., Abdollahpour, I., Sarveazad, A., Tehrani-Banihashemi, A., Yoosefi Lebni, J., Manafi, N., Pazoki Toroudi, H., Dorostkar, F., Alipour, V., Sheikhtaheri, A., Arabloo, J., Azari, S., Ghashghaee, A., Rezapour, A., Naserbakht, M., Kabir, A., Mehri, F., Yousefifard, M., Asadi-Aliabadi, M., Babaee, E., Eshrati, B., Goharinezhad, S., Moradi-Lakeh, M., Abedi, P., 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Maria, Borzouei, Shiva, Brady, Oliver J, Braithwaite, Dejana, Brauer, Michael, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Bumgarner, Blair R, Burugina Nagaraja, Sharath, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Tianji, Callender, Charlton SKH, Cámera, Luis LA Alberto, Campos-Nonato, Ismael R, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Castro, Franz, Catalá-López, Ferrán, Cederroth, Christopher R, Cerin, Ester, Chattu, Vijay Kumar, Chin, Ken Lee, Chu, Dinh-Toi, Ciobanu, Liliana G, Cirillo, Massimo, Comfort, Haley, Costa, Vera Marisa, Cowden, Richard G, Cromwell, Elizabeth A, Croneberger, Andrew J, Cunningham, Matthew, Dahlawi, Saad M A, Damiani, Giovanni, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Darwesh, Aso Mohammad, Daryani, Ahmad, Das Gupta, Rajat, das Neves, José, Davletov, Kairat, De Leo, Diego, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, 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Stephen, Ilic, Irena M, Ilic, Milena D, Imani-Nasab, Mohammad Hasan, Islam, Mdmohaimenul, Iso, Hiroyasu, Iwu, Chinwe Juliana, Jaafari, Jalil, Jacobsen, Kathryn H, Jahagirdar, Deepa, Jahanmehr, Nader, Jalali, Amir, Jalilian, Farzad, James, Spencer L, Janjani, Hosna, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Kalani, Hamed, Kalankesh, Leila R, Kamiab, Zahra, Kanchan, Tanuj, Kapoor, Neeti, Karch, André, Karimi, Salah Eddin, Karimi, Seyed Asaad, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kawakami, Norito, Kayode, Gbenga A, Keiyoro, Peter Njenga, Keller, Cathleen, Khader, Yousef Saleh, Khalid, Nauman, Khan, Ejaz Ahmad, Khan, Maseer, Khang, Young-Ho, Khater, Amir M, Khater, Mona M, Khazaei, Salman, Khazaie, Habibolah, Khodayari, Mohammad Taghi, Khubchandani, Jagdish, Kianipour, Neda, Kim, Cho-il, Kim, Young-Eun, Kim, Yun Jin, Kinfu, Yohanne, Kisa, Adnan, Kisa, Sezer, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Komaki, Hamidreza, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krohn, Kris J, Kuate Defo, Barthelemy, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kumar, Vivek, Kusuma, Dian, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lami, Faris Hasan, Lansky, Sonia, Larson, Samantha Leigh, Larsson, Anders O, Lasrado, Savita, Lassi, Zohra S, Lazarus, Jeffrey V, Lee, Paul H, Lee, Shaun Wen Huey, Leever, Andrew T, Legrand, Kate E, Leonardi, Matilde, Li, Shanshan, Lim, Lee-Ling, Lim, Stephen S, Linn, Shai, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D, Lopukhov, Platon D, Lotufo, Paulo A, Lozano, Rafael, Lu, Alton, Lunevicius, Raimunda, Madadin, Mohammed, Maddison, Emilie R, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Mahasha, Phetole Walter, Mahdavi, Mokhtar Mahdavi, Malekzadeh, Reza, Mamun, Abdullah A, Manafi, Navid, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Masaka, Anthony, Mastrogiacomo, Claudia I, Mathur, Manu Raj, May, Erin A, Mcalinden, Colm, Mcgrath, John J, Mckee, Martin, Mehndiratta, Man Mohan, Mehri, Fereshteh, Mehta, Kala M, Meitei, Wahengbam Bigyananda, Memiah, Peter T N, Mendoza, Walter, Menezes, Ritesh G, Mengesha, Endalkachew Worku, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mihretie, Kebadnew Mulatu, Miller, Ted R, Mills, Edward J, Milne, George J, Mirrakhimov, Erkin M, Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei-Alavijeh, Mehdi, Misganaw, Awoke Temesgen, Moazen, Babak, Moghadaszadeh, Masoud, Mohamadi, Efat, Mohammad, Dara K, Mohammad, Yousef, Mohammad Gholi Mezerji, Naser, Mohammadbeigi, Abolfazl, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Hussen, Mohammed, Shafiu, Mohebi, Farnam, Mohseni Bandpei, Mohammad A, Mokari, Amin, Mokdad, Ali H, Momen, Natalie C, Monasta, Lorenzo, Mooney, Meghan D, Moradi, Ghobad, Moradi, Masoud, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moradzadeh, Rahmatollah, Moraga, Paula, Moreno Velásquez, Ilai, Morgado-da-Costa, Joana, Morrison, Shane Dougla, Mosser, Jonathan F, Mouodi, Simin, Mousavi, Seyyed Meysam, Mousavi Khaneghah, Amin, Mueller, Ulrich Otto, Musa, Kamarul Imran, Muthupandian, Saravanan, Nabavizadeh, Behnam, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naghshtabrizi, Behshad, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Ndwandwe, Duduzile Edith, Negoi, Ionut, Negoi, Ruxandra Irina, Ngunjiri, Josephine W, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nigatu, Yeshambel T, Nikbakhsh, Rajan, Nikpoor, Amin Reza, Nixon, Molly R, Nnaji, Chukwudi A, Nomura, Shuhei, Noubiap, Jean Jacque, Nouraei Motlagh, Soraya, Nowak, Christoph, Oţoiu, Adrian, Odell, Christopher M, Oh, In-Hwan, Oladnabi, Morteza, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omar Bali, Ahmed, Ong, Kanyin L, Onwujekwe, Obinna E, Ortiz, Alberto, Otstavnov, Nikita, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa O, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Park, Jame, Pasupula, Deepak Kumar, Patel, Jenil R, Patel, Sangram Kishor, Patton, George C, Paulson, Katherine R, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perico, Norberto, Pigott, David M, Pilgrim, Thoma, Pilz, Tessa M, Piradov, Michael A, Pirsaheb, Meghdad, Pokhrel, Khem Narayan, Postma, Maarten J, Pourjafar, Hadi, Pourmalek, Farshad, Pourshams, Akram, Poznańska, Anna, Prada, Sergio I, Prakash, Sanjay, Preotescu, Liliana, Quazi Syed, Zahiruddin, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Raggi, Alberto, Rahman, Muhammad Aziz, Rajabpour-Sanati, Ali, Ram, Pradhum, Ranabhat, Chhabi Lal, Rao, Sowmya J, Rasella, Davide, Rashedi, Vahid, Rastogi, Prateek, Rathi, Priya, Rawal, Lal, Remuzzi, Giuseppe, Renjith, Vishnu, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Nima, Rezai, Mohammad sadegh, Rezapour, Aziz, Rickard, Jennifer, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostamian, Morteza, Rubagotti, Enrico, Rwegerera, Godfrey M, Sabour, Siamak, Saddik, Basema, Sadeghi, Ehsan, Sadeghi, Masoumeh, Saeedi Moghaddam, Sahar, Safari, Yahya, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S Mohammad, Salahshoor, Mohammad Reza, Salama, Joseph S, Salamati, Payman, Salem, Marwa R Rashad, Salimi, Yahya, Salomon, Joshua A, Salz, Inbal, Samad, Zainab, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Saraswathy, Sivan Yegnanarayana Iyer, Sartorius, Benn, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sattin, Davide, Saylan, Mete, Schaeffer, Lauren E, Schiavolin, Silvia, Schwebel, David C, Schwendicke, Falk, Sekerija, Mario, Senbeta, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabani, Mahsima, Shahabi, Saeed, Shahbaz, Mohammad, Shaheen, Amira A, Shaikh, Masood Ali, Shalash, Ali S, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomar, Sharafi, Zeinab, Sharara, Fablina, Sharma, Rajesh, Shaw, David H, Sheikh, Aziz, Shin, Jae Il, Shiri, Rahman, Shrime, Mark G, Shuval, Kerem, Siabani, Soraya, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santo, Simonetti, Biagio, Simpson, Kyle E, Singh, Jasvinder A, Skiadaresi, Eirini, Skryabin, Valentin Yurievich, Soheili, Amin, Sokhan, Anton, Sorensen, Reed J D, Soriano, Joan B, Sorrie, Muluken Bekele, Soyiri, Ireneous N, Spurlock, Emma Elizabeth, Sreeramareddy, Chandrashekhar T, Stockfelt, Leo, Stokes, Mark A, Stubbs, Jacob L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Suliankatchi Abdulkader, Rizwan, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Tadakamadla, Santosh Kumar, Taherkhani, Amir, Tang, Muming, Taveira, Nuno, Taylor, Heather Jean, Teagle, Whitney L, Tehrani-Banihashemi, Arash, Teklehaimanot, Berhane Fseha, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Thrift, Amanda G, Titova, Mariya Vladimirovna, Tohidinik, Hamid Reza, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Tovani-Palone, Marcos Roberto Roberto, Traini, Eugenio, Tran, Bach Xuan, Travillian, Ravensara, Trias-Llimós, Sergi, Truelsen, Thomas Clement, Tudor Car, Lorainne, Unnikrishnan, Bhaskaran, Upadhyay, Era, Vacante, Marco, Vakilian, Alireza, Valdez, Pascual R, Valli, Alessandro, Vardavas, Constantine, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogale, Vasseghian, Yasser, Veisani, Yousef, Venketasubramanian, Narayanaswamy, Vidale, Simone, Violante, Francesco S, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vujcic, Isidora S, Vukovic, Ana, Vukovic, Rade, Waheed, Yasir, Wallin, Mitchell Taylor, Walters, Magdalene K, Wang, Hongbo, Wang, Yuan-Pang, Watson, Stefanie, Wei, Jingkai, Weiss, Jordan, Weldesamuel, Girmay Teklay, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wiangkham, Taweewat, Wiens, Kirsten E, Wijeratne, Tissa, Wiysonge, Charles Shey, Wojtyniak, Bogdan, Wolfe, Charles D A, Wondmieneh, Adam Belay, Wool, Eve E, Wu, Ai-Min, Wu, Junjie, Xu, Gelin, Yamada, Tomohide, Yamagishi, Kazumasa, Yano, Yuichiro, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yearwood, Jamal A, Yeheyis, Tomas Y, Yilgwan, Christopher Sabo, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yoosefi Lebni, Javad, York, Hunter W, Younis, Mustafa Z, Younker, Theodore Patrick, Yousefi, Zabihollah, Yousefinezhadi, Taraneh, Yousuf, Abdilahi Yousuf, Yusefzadeh, Hasan, Zahirian Moghadam, Telma, Zakzuk, Josefina, Zaman, Sojib Bin, Zamani, Mohammad, Zamanian, Maryam, Zandian, Hamed, Zhang, Zhi-Jiang, Zheng, Peng, Zhou, Maigeng, Ziapour, Arash, Murray, Christopher J L, Collaborators, GBD 2019 Demographics, GBD 2019 Demographics Collaborator, Violante FS, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Department of Earth Systems Analysis, Biomechanical Engineering, TechMed Centre, Biomolecular Nanotechnology, Research Methodology, Measurement and Data Analysis, Materials Science and Technology of Polymers, Inorganic Materials Science, MESA+ Institute, Biomedical and Environmental Sensorsystems, Mesoscale Chemical Systems, Faculty of Engineering Technology, Nonlinear Solid Mechanics, Digital Society Institute, Pervasive Systems, Nanobiophysics, Faculty of Geo-Information Science and Earth Observation, Multi Scale Mechanics, Engineering Fluid Dynamics, Physics of Complex Fluids, Developmental BioEngineering, Physics of Fluids, Elastomer Technology and Engineering, Medical Cell Biophysics, European Membrane Institute, Department of Earth Observation Science, Biomaterials Science and Technology, Sustainable Process Technology, Department of Urban and Regional Planning and Geo-Information Management, Department of Natural Resources, XUV Optics, Databases (Former), Department of Water Resources, Psychology, Health & Technology, Membrane Science & Technology, Department of Public Health, Clinicum, HUS Neurocenter, HUS Comprehensive Cancer Center, and Environmental Sciences
Subjects: Male, very elderly, Demographic transition, HALE, 030204 cardiovascular system & hematology, preschool child, Global Burden of Disease, Carga Global de Enfermedades, 0302 clinical medicine, newborn, Risk Factors, Surveys and Questionnaires, and Risk Factors Study, 80 and over, 030212 general & internal medicine, Birth Rate, Child, Migration, 11 Medical and Health Sciences, Aged, 80 and over, education.field_of_study, Injuries, Geography, Mortality rate, 1. No poverty, DEATH, Censuses, General Medicine, SDG 10 - Reduced Inequalities, Middle Aged, Demographic analysis, 3142 Public health care science, environmental and occupational health, 3. Good health, demographic analysis, Estilo de Vida Saludable, risk factor, Child, Preschool, Demography/statistics & numerical data, Global Burden of Diseases, Injuries, Risk Factors, Fertility, Mortality, Migration, Population, epidemiology, Female, A990 Medicine and Dentistry not elsewhere classified, CHILD-MORTALITY, Live Birth, Global Health Metrics, TRANSITION, demographics, GBD, fertility, mortality, hale, Adult, Adolescent, Total fertility rate, Population, Global Burden of Diseases, Injuries, and Risk Factors Study, Birth rate, 03 medical and health sciences, Young Adult, Life Expectancy, SDG 3 - Good Health and Well-being, General & Internal Medicine, SYSTEMATIC ANALYSIS, Demografía, Humans, Global Burden of Disease Study, human, Mortality, education, Preschool, Aged, Demography, Spatial Analysis, questionnaire, Infant, Newborn, Klinisk medicin, HIV, Infant, Global Burden of Diseases, sex-specific fertility, Live Birth/epidemiology, purl.org/pe-repo/ocde/ford#3.02.00 [https], MODEL, Fertilidad, Fertility, Demographic change, Life expectancy, NA, global disease burden, Clinical Medicine, population research
Abstract: Background Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings The global TFR decreased from 2.72 (95% uncertainty interval [UI] 2.66-2.79) in 2000 to 2.31 (2.17-2.46) in 2019. Global annual livebirths increased from 134.5 million (131.5-137.8) in 2000 to a peak of 139.6 million (133.0-146.9) in 2016. Global livebirths then declined to 135.3 million (127.2-144.1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2.1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27.1% (95% UI 26.4-27.8) of global livebirths. Global life expectancy at birth increased from 67.2 years (95% UI 66.8-67.6) in 2000 to 73.5 years (72.8-74.3) in 2019. The total number of deaths increased from 50.7 million (49.5-51.9) in 2000 to 56.5 million (53.7-59.2) in 2019. Under-5 deaths declined from 9.6 million (9.1-10.3) in 2000 to 5.0 million (4.3-6.0) in 2019. Global population increased by 25.7%, from 6.2 billion (6.0-6.3) in 2000 to 7.7 billion (7.5-8.0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58.6 years (56.1-60.8) in 2000 to 63.5 years (60.8-66.1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Interpretation Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
Published: 2020

15. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Author: Lozano, Rafael, Fullman, Nancy, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen Me, Abyu, Gebre Y, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshari, Mahdi, Afshin, Ashkan, Agarwal, Gina, Aghayan, Sargis Aghasi, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Akalu, Temesgen Yihunie, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Albujeer, Ammar, Alebel, Animut, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Almasi, Ali, Al-Maskari, Fatma, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Amini, Erfan, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Monika, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Babalola, Tesleem Kayode, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banerjee, Amitava, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Barthelemy, Celine M, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Battista, Robert J, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Benzian, Habib, Berhane, Adugnaw, Berhe, Abadi Kidanemariam, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhansali, Anil, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Biadgo, Belete, Biehl, Molly H, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Bisanzio, Donal, Biswas, Tuhin, Bitew, Helen, Bizuneh, Hailemichael, Bjertness, Espen, Bobasa, Eshetu Mulisa, Boufous, Soufiane, Bourne, Rupert, Bozorgmehr, Kayvan, Bragazzi, Nicola Luigi, Brainin, Michael, Brant, Luisa C, Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul Svitil, Britton, Gabrielle, Brugha, Traolach, Bukhman, Gene, Busse, Reinhard, Butt, Zahid A, Cahuana-Hurtado, Lucero, Callender, Charlton SKH, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Josip, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carter, Austin, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Causey, Kate, Çavlin, Alanur, Cercy, Kelly M, Cerin, Ester, Chaiah, Yazan, Chalek, Julian, Chang, Hsing-Yi, Chang, Jung-Chen, Chattopadhyay, Aparajita, Chattu, Vijay Kumar, Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chin, Ken Lee, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Choi, Jee-Young J, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J, Chung, Sheng-Chia, Cicuttini, Flavia M, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Claßen, Thomas Khaled Dwayne, Cohen, Aaron J, Collado-Mateo, Daniel, Cooper, Cyrus, Cooper, Leslie Trumbull, Cornaby, Leslie, Cortinovis, Monica, Costa, Megan, Cousin, Ewerton, Cromwell, Elizabeth A, Crowe, Christopher Stephen, Cunningham, Matthew, 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Zamani, M, Zare, Z, Zavala-Arciniega, L, Zegeye, Dt, Zegeye, Ea, Zeleke, Aj, Zendehdel, K, Zerfu, Ta, Zhang, Al, Zhang, X, Zhou, M, Zhu, J, Zimsen, Srm, Zodpey, S, Zoeckler, L, Zucker, I, Zuhlke, Ljj, Lim, S, and Murray, Cjl.
Subjects: GENDER-DIFFERENCES, SUICIDE, Medicine (all), Burden of Disease Study 2017, SDG, CONSUMPTION, 11 Medical And Health Sciences, GBD, Sustainable Development Goals, PREVENTION, ALCOHOL-USE, CARDIOVASCULAR-DISEASE, SMOKING PREVALENCE, General & Internal Medicine, factors risk, Medicine and Health Sciences, Human medicine, CESSATION, PERSPECTIVE, TRANSITION
Abstract: Background Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health -related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. Methods We measured progress on 41 health-related S DG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2.5th percentile and 100 as the 97.5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings The global median health-related SDG index in 2017 was 59.4 (IQR 35.4-67.3), ranging from a low of 11.6 (95% uncertainty interval 9.6-14.0) to a high of 84.9 (83.1-86.7). SDG index values in countries assessed at the subnational level varied substantially particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attaimnent by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation The GBD study offers a unique, robust platform for monitoring the health -related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health -related SDG indicators, NCDs, NCD-related risks, and violence -related indicators will require a concerted shift away from what might have driven past gains curative interventions in the case of NCDs towards multisectoral, prevention -oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the S DGs. What is clear is that our actions or inaction today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Published: 2018

16. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Roth, Gregory A., Collaborotors, G. B. D.Causes Death, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Load, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adamu, Abdu A., Adebayo, Oladimeji, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adookunboh, Olatunii, Adhena, Beyene Meressa, Adib, Mina G., Admasie, Aniha, Afshin, Ashkan, Agarwal, Gina, Agesa, Karelia M., Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Melidi, Ahmed, Muktar Beshir, Ahmed, Sayent, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Fddine, Akbari, Mohammad Esmaeil, Akinyeniti, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M., Alandab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, Francois, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampern, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Aniha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Aremu, Olatunde, Arnlov, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asfaw, Ephremi Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R., Ausloos, Marcel, Avokpaho, Euripide F. 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K., Brenner, Hermann, Briant, Paul Svitil, Britton, Gabrielle, Brugha, Traolach, Busse, Reinhard, Butt, Zahid A., Callender, Charlton S. K. H., Campos-Nonato, Ismael R., Rincon, Julio Cesar Canapuzano, Cano, Jorge, Car, Mate, Cardenas, Rosario, Carreras, Giulia, Carrero, Juan J., Carter, Austin, Carvalho, Felix, Castaneda-Orjuela, Carlos A., Rivas, Jacqueline Castillo, Castle, Chris D., Castro, Clara, Castro, Franz, Catala-Lopez, Ferran, Cerin, Ester, Chaiah, Yazan, Chang, Jung -Chen, Chanson, Fiona J., Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheet, Abdulaal, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J., Chiang, Sheng-Chia, Cicuttini, Flavia M., Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Cooper, Leslie Trumbull, Cortesi, Paolo Angelo, Cortinovis, Monica, Cousin, Ewerton, Cowie, Benjamin C., Criqui, Michael H., Cromwell, Elizabeth A., Crowe, Christopher Stephen, Crump, John A., Cunningham, Matthew, Daba, Alemneh Kabeta, Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Dargan, Paul I., Daryani, Ahmad, Das, Siddharth K., Das Gupta, Rajat, Das Neves, Jose, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davis, Adrian C., Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, De La Hoz, Fernando Pio, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta T., Deiparine, Selina, Demoz, Gebre Teklemariam, Demtsu, Baleen Betsu, Denova-Gutierrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Jarlais, Don C. 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Jc, Ferrari, Aj, Feyissa, Gt, Foigt, Na, Foreman, Kj, Frank, Td, Fuller, Je, Fürst, T, Furtado, Jm, Futran, Nd, Garcia-Basteiro, Al, Garcia-Gordillo, Ma, Gardner, Wm, Gebre, Ak, Gebrehiwot, Tt, Gebremedhin, At, Gebremichael, Tg, Gelano, Tf, Geleijnse, Jm, Geramo, Ycd, Gething, Pw, Gezae, Ke, Ghadami, Mr, Gibney, Kb, Gill, Tk, Gillum, Rf, Ginawi, Ia, Goldberg, Em, Gómez-Dantés, H, Gona, Pn, Gopalani, Sv, Gorman, Tm, Goulart, Ac, Gnedovskaya, Ev, Gugnani, Hc, Guimaraes, Al, Gupta, Pc, Gutiérrez, Ra, Haagsma, Ja, Hagos, Tb, Hailegiyorgis, Tt, Hailu, Gb, Hamadeh, Rr, Handal, Aj, Hankey, Gj, Harb, Hl, Haro, Jm, Hassen, Hy, Hay, Rj, Hay, Si, Hegazy, Mi, Henry, Nj, Hibstu, Dt, Hoek, Hw, Hole, Mk, Hosgood, Hd, Hosseini, Sm, Hotez, Pj, Hoy, Dg, Huang, Jj, Hussen, Mm, Irvani, Ssn, Irvine, Cm, Islam, Sm, Jacobsen, Kh, Jain, Sk, Jalu, Mt, James, Sl, Jayatilleke, Au, Jenkins, Kj, Jha, Rp, Johnson, Co, Johnson, Sc, Jonas, Jb, Jozwiak, Jj, Jungari, Sb, Jürisson, M, Kassa, Dh, Kassa, Gm, Kassa, Td, Kassebaum, Nj, Katikireddi, Sv, Karyani, Ak, Kefale, At, Keiyoro, Pn, Kemp, Gr, Kengne, Ap, Kesavachandran, Cn, Khafaie, Ma, Khalil, Ia, Khan, Ea, Khan, Ma, Khang, Yh, Khater, Mm, Khoja, At, Khosravi, Mh, Kiadaliri, Aa, Kibret, Gd, Kidanemariam, Zt, Kiirithio, Dn, Kim, Ye, Kim, Yj, Kimokoti, Rw, Kivimäki, M, Knudsen, Ak, Kocarnik, Jm, Kopec, Ja, Koul, Pa, Kravchenko, Ma, Kumar, Ga, Kutz, Mj, Kyu, Hh, Lad, Dp, Lad, Sd, Lal, Dk, Lam, Jo, Lami, Fh, Lansingh, Vc, Larson, Hj, Lau, Km, Lazarus, Jv, Lee, Ph, Leshargie, Ct, Lim, Ll, Limenih, Ma, Lopez, Ad, Lotufo, Pa, Macarayan, Erk, Mackay, Mt, Maclachlan, Jh, Maddison, Er, Maghavani, Dp, Malta, Dc, Manda, Al, Mandarano-Filho, Lg, Mansournia, Ma, Mapoma, Cc, Maravilla, Jc, Marks, Gb, Martins-Melo, Fr, März, W, Marzan, Mb, Masci, Jr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mcmahon, Bj, Mehndiratta, Mm, Mehta, Km, Mekonnen, Tc, Memiah, Ptn, Memish, Za, Mengistu, Dt, Mensah, Ga, Mereta, St, Meretoja, Tj, Mezgebe, Hb, Millear, Ai, Miller, Tr, Miller-Petrie, Mk, Mini, Gk, Mirrakhimov, Em, Misganaw, At, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Moreno Velásquez, I, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Muchie, Kf, Mueller, Uo, Mumford, Je, Musa, Ki, Nachega, Jb, Nansseu, Jr, Nascimento, Br, Negoi, Ri, Newton, Crj, Ngalesoni, Fn, Ngunjiri, Jw, Nguyen, Aq, Nguyen, Ht, Nguyen, Lh, Nguyen, Th, Ningrum, Dna, Nirayo, Yl, Nixon, Mr, Norheim, Of, Noubiap, Jj, Nouri, Hr, Nourollahpour Shiadeh, M, Nowroozi, Mr, Odell, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olivares, Pr, Olsen, He, Olusanya, Bo, Olusanya, Jo, Ong, Kl, Ong, Sk, Orpana, Hm, Ortiz, Jr, Øverland, S, Owolabi, Mo, Özdemir, R, P A, M, Pakhare, Ap, Pakpour, Ah, Pandian, Jd, Park, Ek, Parry, Cdh, Patton, Gc, Paturi, Vr, Paulson, Kr, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Postma, Mj, Purcell, Ca, Quistberg, Da, Rade, Kw, Radfar, A, Rafay, A, Rafiei, A, Rahim, F, Rahman, Mhu, Rahman, Ma, Rai, Rk, Ranabhat, Cl, Rao, Pc, Rawaf, Dl, Razo-García, C, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Riahi, Sm, Ribeiro, Alp, Rios-Blancas, Mj, Roba, Kt, Roberts, Nl, Robinson, Sr, Sahraian, Ma, Saldanha, Rf, Sambala, Ez, Samy, Am, Sanchez-Niño, Md, Santomauro, Df, Santos, Jv, Milicevic, Mm, Sao Jose, Bp, Sarker, Ar, Sarmiento-Suárez, R, Sawant, Ar, Schmidt, Mi, Schneider, Ijc, Schöttker, B, Schutte, Ae, Schwebel, Dc, Scott, Jg, Sepanlou, Sg, Serván-Mori, E, Shackelford, Ka, Shaheen, Aa, Shaikh, Ma, Shrime, Mg, Siddiqi, Tj, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silva, Ntd, Silveira, Dga, Singh, Ja, Singh, Np, Singh, Pk, Sinha, Dn, Sobaih, Bh, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Starodubov, Vi, Stein, Dj, Stewart, Lg, Stokes, Ma, Subart, Ml, Sufiyan, Mb, Sur, Pj, Sykes, Bl, Sylaja, Pn, Sylte, Do, Szoeke, Cei, Tabarés-Seisdedos, R, Tadakamadla, Sk, Tassew, Sg, Tekalign, Tg, Tekle, Mg, Temsah, Mh, Teshale, My, Tessema, Ga, Thankappan, Kr, Thrift, Ag, Thurston, Gd, To, Qg, Torre, Ae, Tortajada-Girbés, M, Tovani-Palone, Mr, Tran, Bx, Tran, Kb, Troeger, Ce, Truelsen, Tc, Truong, Nt, Tsadik, Ag, Tuzcu, Em, Ukwaja, Kn, Undurraga, Ea, Updike, Rl, Uthman, Oa, Uzun, Sb, Valdez, Pr, Vasankari, Tj, Vladimirov, Sk, Vollset, Se, Wagner, Gr, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weintraub, Rg, Weldegwergs, Kg, Werkneh, Aa, West, Te, Whiteford, Ha, Wilner, Lb, Wolfe, Cda, Wu, Yc, Wyper, Gma, Yahyazadeh Jabbari, Sh, Yan, Ll, Yasin, Yj, Yentür, Gk, Yimer, Em, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaman, Sb, Zeleke, Aj, Zenebe, Zm, Zhang, Al, Zuhlke, Lj, and Murray, Cjl.
Subjects: Adult, Male, Adolescent, national age-sex-specific mortality, UNITED-STATES, Global Health, Socioeconomic Factor, Global Burden of Disease, GBD, causes of death, Young Adult, Age Distribution, Life Expectancy, General & Internal Medicine, Cause of Death, PUBLIC-HEALTH PROBLEM, mortality, 282 causes global burden of disease, Sex Distribution, Child, Aged, Aged, 80 and over, BARRIERS, DEMENTIA, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, TRENDS, PREVENTION, PREVALENCE, ALZHEIMERS-DISEASE, INDIVIDUALS, 3121 General medicine, internal medicine and other clinical medicine, Child, Preschool, REGISTRATION, Female, Human medicine, Human
Abstract: Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODErn), to generate cause fractions and cause specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NC Ds) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5-74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 186% (17.9-19.6), and injuries 8.0% (7.7-8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5-23.9), representing an additional 7.61 million (7. 20-8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.08.8). The number of deaths for CMNN causes decreased by 222% (20.0-24.0) and the death rate by 31.8% (30.1-33.3). Total deaths from injuries increased by 2.3% (0-5-4-0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2-15.1) to 57.9 deaths (55.9-59.2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8-148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2-40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2-36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respirator}, infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990 neonatal disorders, lower respiratory infections, and diarrhoeal diseases were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

17. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Stanaway, Jeffrey D., Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S., Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A., Adane, Akilew Awoke, Adebayo, Oladimeji M., Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O., Adib, Mina G., Admasie, Amha, Adsuar, Jose C., Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M., Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A., Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M., Antonio, Carl Abelardo T., Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide F.G.A., Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Ayuk, Tambe B., Azzopardi, Peter S., Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Ball, Kylie, Ballew, Shoshana H., Banach, Maciej, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H., Basu, Sanjay, Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Bekru, Eyasu Tamru, Belay, Ezra, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bensenor, Isabela M., Bergeron, Gilles, Berhane, Adugnaw, Bernabe, Eduardo, Bernstein, Robert S., Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhattarai, Suraj, Bhutta, Zulfiqar A., Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Biswas, Tuhin, Bjørge, Tone, Blacker, Brigette F., Bleyer, Archie, Borschmann, Rohan, Bou-Orm, Ibrahim R., Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J.K., Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brugha, Traolach, Buchbinder, Rachelle, Burnett, Richard T., Busse, Reinhard, Butt, Zahid A., Cahill, Leah E., Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael R., Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J., Carvalho, Félix, Castañeda-Orjuela, Carlos A., Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Causey, Kate, Cercy, Kelly M., Cerin, Ester, Chaiah, Yazan, Chang, Hsing Yi, Chang, Jung Chen, Chang, Kai Lan, Charlson, Fiona J., Chattopadhyay, Aparajita, Chattu, Vijay Kumar, Chee, Miao Li, Cheng, Ching Yu, Chew, Adrienne, Chiang, Peggy Pei Chia, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chitheer, Abdulaal, Choi, Jee Young J., Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J., Chung, Sheng Chia, Cicuttini, Flavia M., Cirillo, Massimo, Cohen, Aaron J., Collado-Mateo, Daniel, Cooper, Cyrus, Cooper, Owen R., Coresh, Josef, Cornaby, Leslie, Cortesi, Paolo Angelo, Cortinovis, Monica, Costa, Megan, Cousin, Ewerton, Criqui, Michael H., Cromwell, Elizabeth A., Cundiff, David K., Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dadi, Abel Fekadu, Damasceno, Albertino Antonio Moura, Dandona, Lalit, Dandona, Rakhi, Darby, Sarah C., Dargan, Paul I., Daryani, Ahmad, Das Gupta, Rajat, Das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davitoiu, Dragos Virgil, Davletov, Kairat, De la Cruz-Góngora, Vanessa, De La Hoz, Fernando Pio, De Leo, Diego, De Neve, Jan Walter, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Deshpande, Aniruddha, Des Jarlais, Don C., Dessie, Getenet Ayalew, Deveber, Gabrielle Aline, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dinberu, Mesfin Tadese, Ding, Eric L., Diro, Helen Derara, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B., Duraes, Andre R., Ebert, Natalie, Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edvardsson, David, Effiong, Andem, Eggen, Anne Elise, El Bcheraoui, Charbel, El-Khatib, Ziad, Elyazar, Iqbal Rf, Enayati, Ahmadali, Endries, Aman Yesuf, Er, Benjamin, Erskine, Holly E., Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fakhim, Hamed, Faramarzi, Mahbobeh, Fareed, Mohammad, Farid, Talha A., Farinha, Carla Sofia E.sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S., Farzaei, Mohammad Hosein, Fatima, Batool, Fay, Kairsten A., Fazaeli, Ali Akbar, Feigin, Valery L., Feigl, Andrea B., Fereshtehnejad, Seyed Mohammad, Fernandes, Eduarda, Fernandes, Joao C., Ferrara, Giannina, Ferrari, Alize J., Ferreira, Manuela L., Filip, Irina, Finger, Jonas David, Fischer, Florian, Foigt, Nataliya A., Foreman, Kyle J., Fukumoto, Takeshi, Fullman, Nancy, Fürst, Thomas, Furtado, João M., Futran, Neal D., Gall, Seana, Gallus, Silvano, Gamkrelidze, Amiran, Ganji, Morsaleh, Garcia-Basteiro, Alberto L., Gardner, William M., Gebre, Abadi Kahsu, Gebremedhin, Amanuel Tesfay, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijnse, Johanna M., Geramo, Yilma Chisha Dea, Gething, Peter W., Gezae, Kebede Embaye, Ghadimi, Reza, Ghadiri, Keyghobad, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghimire, Mamata, Ghosh, Rakesh, Ghoshal, Aloke Gopal, Giampaoli, Simona, Gill, Paramjit Singh, Gill, Tiffany K., Gillum, Richard F., Ginawi, Ibrahim Abdelmageed, Giussani, Giorgia, Gnedovskaya, Elena V., Godwin, William W., Goli, Srinivas, Gómez-Dantés, Hector, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra C., Grada, Ayman, Grams, Morgan E., Grosso, Giuseppe, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gutiérrez, Reyna Alma, Gutiérrez-Torres, Daniela S., Haagsma, Juanita A., Habtewold, Tesfa Dejenie, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B., Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R., Hamidi, Samer, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin N., Hay, Simon I., Hedayatizadeh-Omran, Akbar, Heibati, Behzad, Heidari, Behnam, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Sousan, Hibstu, Desalegn T., Higazi, Tarig B., Hilawe, Esayas Haregot, Hoek, Hans W., Hoffman, Howard J., Hole, Michael K., Homaie Rad, Enayatollah, Hoogar, Praveen, Hosgood, H. Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoy, Damian G., Hsairi, Mohamed, Hsiao, Thomas, Hu, Guoqing, Hu, Howard, Huang, John J., Hussen, Mamusha Aman, Huynh, Chantal K., Iburg, Kim Moesgaard, Ikeda, Nayu, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jackson, Maria D., Jacobsen, Kathryn H., Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L., Jassal, Simerjot K., Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S., Jonas, Jost B., Jonnagaddala, Jitendra, Jorjoran Shushtari, Zahra, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Kahsay, Amaha, Kalani, Rizwan, Kanchan, Tanuj, Kant, Surya, Kar, Chittaranjan, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M., Kasaeian, Amir, Kassa, Dessalegn H., Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemi, Zhila, Karyani, Ali Kazemi, Kefale, Adane Teshome, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khafaei, Behzad, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A., Khan, Gulfaraz, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young Ho, Khater, Mona M., Khazaei, Mohammad, Khazaie, Habibolah, Khoja, Abdullah T., Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Kiadaliri, Aliasghar A., Kiirithio, Daniel N., Kim, Cho Il, Kim, Daniel, Kim, Young Eun, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Knibbs, Luke D., Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael A., Krishan, Kewal, Krohn, Kristopher J., Kromhout, Hans, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G. 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Sk, Vollset, Se, Vu, Gt, Waller, Sg, Walson, Jl, Wang, Yp, Weintraub, Rg, Werkneh, Aa, West, Jj, Whiteford, Ha, Wiyeh, Ab, Wolfe, Cda, Wong, Ty, Yahyazadeh Jabbari, Sh, Yan, Ll, Yasin, Yj, Yimer, Em, Yoon, Sj, Younis, Mz, Zaman, Sb, Zhang, Al, Zimsen, Srm, Murray, Cjl., Stanaway, Jeffrey D, Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S, Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adane, Akilew Awoke, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Admasie, Amha, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, 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Kumar, Takahashi, Ken, Tandon, Nikhil, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Tessema, Belay, Teweldemedhin, Mebrahtu, Thankappan, Kavumpurathu Raman, Theis, Andrew, Thirunavukkarasu, Sathish, Thomas, Hannah J, Thomas, Matthew Lloyd, Thomas, Nihal, Thurston, George D, Tilahun, Binyam, Tillmann, Taavi, To, Quyen G, Tobollik, Myriam, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tudor Car, Lorainne, Tuzcu, E Murat, Tymeson, Hayley D, Tyrovolas, Stefano, Ukwaja, Kingsley N, Ullah, Irfan, Updike, Rachel L, Usman, Muhammad Shariq, Uthman, Olalekan A, Vaduganathan, Muthiah, Vaezi, Afsane, Valdez, Pascual R, Van Donkelaar, Aaron, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Venkateswaran, Vidhya, Venketasubramanian, Narayanaswamy, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vu, Giang Thu, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Waller, Stephen G, Walson, Judd L, Wang, Yafeng, Wang, Yanping, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weldegebreal, Fitsum, Werdecker, Andrea, Werkneh, Adhena Ayaliew, West, J Jason, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiyeh, Alison B, Wiysonge, Charles Shey, Wolfe, Charles D A, Wong, Tien Yin, Wu, Shouling, Xavier, Deni, Xu, Gelin, Yadgir, Simon, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zavala-Arciniega, Lui, Zhang, Anthony Lin, Zhang, Hao, Zhang, Kai, Zhou, Maigeng, Zimsen, Stephanie R M, Zodpey, Sanjay, and Murray, Christopher J L
Subjects: Science & Technology, GBD, risks, risk factors, comparative risk assesment, Dalys, Medicine (all), CHOLESTEROL, BLOOD-PRESSURE, 11 Medical And Health Sciences, ILLNESS, TRENDS, humanities, Medicine, General & Internal, TOBACCO CONTROL, General & Internal Medicine, parasitic diseases, Medicine and Health Sciences, CARDIOVASCULAR-DISEASES, TRIAL, Human medicine, Life Sciences & Biomedicine, METAANALYSIS
Abstract: Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk–outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk–outcome pairs, and new data on risk exposure levels and risk– outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk–outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. Findings In 2017, 34·1 million (95% uncertainty interval [UI] 33·3–35·0) deaths and 1·21 billion (1·14–1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6–62·4) of deaths and 48·3% (46·3–50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39–11·5) deaths and 218 million (198–237) DALYs, followed by smoking (7·10 million [6·83–7·37] deaths and 182 million [173–193] DALYs), high fasting plasma glucose (6·53 million [5·23–8·23] deaths and 171 million [144–201] DALYs), high body-mass index (BMI; 4·72 million [2·99–6·70] deaths and 148 million [98·6–202] DALYs), and short gestation for birthweight (1·43 million [1·36–1·51] deaths and 139 million [131–147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3–6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. Lancet 2018; 392: 1923–94 *Collaborators listed at the end of the paper Correspondence to: Prof Christopher J L Murray, Institute for Health Metrics and Evalution, Seattle, WA 98121, USA cjlm@uw.edu Global Health Metrics 1924 www.thelancet.com Vol 392 November 10, 2018 Interpretation By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning.
Published: 2018

18. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Murray, Christopher J L, Callender, Charlton S K H, Kulikoff, Xie Rachel, Srinivasan, Vinay, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbasi, Nooshin, Abbastabar, Hedayat, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdoli, Nasrin, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Abejie, Ayenew Negesse, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy Maria Xavier, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen M E, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, Atique, Suleman, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayele, Yohanes, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Babalola, Tesleem Kayode, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Banach, Maciej, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Basaleem, Huda, Bassat, Quique, Basu, Arindam, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Ezra, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Bergeron, Gilles, Berhane, Adugnaw, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Biswas, Tuhin, Bizuneh, Hailemichael, Bleyer, Archie, Basara, Berrak Bora, Bosetti, Cristina, Boufous, Soufiane, Brady, Oliver J, Bragazzi, Nicola Luigi, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Brewer, Jerry D, Briant, Paul Svitil, Britton, Gabrielle, Burstein, Roy, Busse, Reinhard, Butt, Zahid A, Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Çavlin, Alanur, Cerin, Ester, Chalek, Julian, Chang, Hsing-Yi, Chang, Jung-Chen, Chattopadhyay, Aparajita, Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chin, Ken Lee, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Choi, Jee-Young J, Chowdhury, Rajiv, Christopher, Devasahayam J, Cicuttini, Flavia M, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Collado-Mateo, Daniel, Constantin, Maria-Magdalena, Conti, Sara, Cooper, Cyrus, Cooper, Leslie Trumbull, Cornaby, Leslie, Cortesi, Paolo Angelo, Cortinovis, Monica, Costa, Megan, Cromwell, Elizabeth, Crowe, Christopher Stephen, Cukelj, Petra, Cunningham, Matthew, Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Daryani, Ahmad, Das Gupta, Rajat, Das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, De Leo, Diego, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta Tilahun, Deiparine, Selina, Demoz, Gebre Teklemariam, Demtsu, Balem, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Dessie, Getenet Ayalew, Dharmaratne, Samath D, Dhimal, Meghnath, Dicker, Daniel, Ding, Eric L, Dinsa, Girmaye Deye, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Dolan, Kate A, Doyle, Kerrie E, Driscoll, Tim R, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duraes, Andre R, Ebrahimpour, Soheil, Edvardsson, David, El Bcheraoui, Charbel, El-Khatib, Ziad, Elyazar, Iqbal Rf, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Esteghamati, Sadaf, Estep, Kara, Fakhim, Hamed, Farag, Tamer, Faramarzi, Mahbobeh, Fareed, Mohammad, Farinha, Carla Sofia E Sá, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fay, Kairsten A, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Feizy, Fariba, Fenny, Ama P, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Feyissa, Garumma Tolu, Filip, Irina, Finegold, Samuel, Fischer, Florian, Flor, Luisa Sorio, Foigt, Nataliya A, Foreman, Kyle J, Fornari, Carla, Fürst, Thomas, Fukumoto, Takeshi, Fuller, John E, Fullman, Nancy, Gakidou, Emmanuela, Gallus, Silvano, Gamkrelidze, Amiran, Ganji, Morsaleh, Gankpe, Fortune Gbetoho, Garcia, Gregory M, Garcia-Gordillo, Miguel Á, Gebre, Abadi Kahsu, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelano, Tilayie Feto, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gething, Peter, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Ghadiri, Keyghobad, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghiasvand, Hesam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Giussani, Giorgia, Gnedovskaya, Elena V, Goli, Srinivas, Gomez, Ricardo Santiago, Gómez-Dantés, Hector, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grosso, Giuseppe, Gugnani, Harish Chander C, Guo, Jingwen, Guo, Yuming, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Haagsma, Juanita A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B, Hailegiyorgis, Tewodros Tesfa, Hailu, 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Sudhir Kumar, Jakovljevic, Mihajlo, Jalu, Moti Tolera, James, Spencer L, Jassal, Simerjot K, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Kapil, Umesh, Karami, Manoochehr, Matin, Behzad Karami, Karch, André, Karema, Corine, Karimi, Seyed M, Kasaeian, Amir, Kassa, Dessalegn H, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Karyani, Ali Kazemi, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khang, Young-Ho, Khanna, Tripti, Khater, Mona M, Khatony, Alireza, Khazaeipour, Zahra, Khazaie, Habibolah, Khoja, Abdullah T, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Kibret, Getiye D, Kidanemariam, Zelalem Teklemariam, Kiirithio, Daniel N, Kilgore, Paul Evan, Kim, Daniel, Kim, Jun Y, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W, Kinfu, Yohannes, Kinra, Sanjay, Kisa, Adnan, Kivimäki, Mika, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A, Kosek, Margaret N, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Krishan, Kewal, Krishnaswami, Sanjay, Krohn, Kristopher J, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael J, Lad, Sheetal D, Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lami, Faris Hasan, Lang, Justin J, Lanksy, Sonia, Lansingh, Van C, Laryea, Dennis Odai, Lassi, Zohra S, Latifi, Arman, Laxmaiah, Avula, Lazarus, Jeffrey V, Lee, James B, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leta, Samson, Levi, Miriam, Li, Shanshan, Li, Xiaohong, Li, Yichong, Liang, Juan, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Lee-Ling, Limenih, Miteku Andualem, Linn, Shai, Liu, Shiwei, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimundas, Mabika, Crispin Mabika, Macarayan, Erlyn Rachelle King, Mackay, Mark T, Madotto, Fabiana, Mahmood, Tarek Abd Elaziz, Mahotra, Narayan Bahadur, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malik, Manzoor Ahmad, Mamun, Abdullah A, Manamo, Wondimu Ayele, Manda, Ana-Laura, Mangalam, Srikanth, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Mapoma, Chabila Christopher, Marami, Dadi, Maravilla, Joemer C, Marcenes, Wagner, Marina, Shakhnazarova, Martins-Melo, Francisco Rogerlândio, März, Winfried, Marzan, Melvin B, Mashamba-Thompson, Tivani Phosa, Masiye, Felix, Mason-Jones, Amanda J, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Maulik, Pallab K, Mazidi, Mohsen, McGrath, John J, Mehata, Suresh, Mehendale, Sanjay Madhav, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehrzadi, Saeed, Mehta, Kala M, Mehta, Varshil, Mekonnen, Tefera C, Meles, Hagazi Gebre, Meles, Kidanu Gebremariam, Melese, Addisu, Melku, Mulugeta, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miangotar, Yode, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Miller-Petrie, Molly Katherine, Mini, G K, Mirabi, Parvaneh, Mirica, Andreea, Mirrakhimov, Erkin M, Misganaw, Awoke Temesgen, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadi-Khanaposhtani, Maryam, Mohammed, Mohammed A, Mohammed, Shafiu, Mokdad, Ali H, Mola, Glen Dl, Molokhia, Mariam, Monasta, Lorenzo, Montañez, Julio Cesar, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morgado-Da-Costa, Joana, Mori, Rintaro, Morrison, Shane Douglas, Mosapour, Abbas, Moschos, Marilita M, Mousavi, Seyyed Meysam, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Mukhopadhyay, Satinath, Muller, Kate, Murphy, Tasha B, Murthy, G V S, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Naik, Paulami, Najafi, Farid, Naldi, Luigi, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Nawaz, Haseeb, Ncama, Busisiwe P, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Subas, Newton, Charles Richard James, Ngalesoni, Frida N, Ngunjiri, Josephine W, Nguyen, Grant, Nguyen, Long Hoang, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nisar, Muhammad Imran, Nixon, Molly R, Nomura, Shuhei, Noroozi, Mehdi, Noubiap, Jean Jacques, Nouri, Hamid Reza, Shiadeh, Malihe Nourollahpour, Nowroozi, Mohammad Reza, Nyandwi, Alypio, Nyasulu, Peter S, Odell, Christopher M, Ofori-Asenso, Richard, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Sok King, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Ota, Erika, Otieno, Brenda Achieng, Otstavnov, Stanislav S, Owolabi, Mayowa Ojo, Oyekale, Abayomi Samuel, P A, Mahesh, Pakhale, Smita, Pakhare, Abhijit P, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandey, Achyut Raj, Park, Eun-Kee, Parsian, Hadi, Patel, Shanti, Patil, Snehal T, Patle, Ajay, Patton, George C, Paturi, Vishnupriya Rao, Paudel, Deepak, Pedroso, Marcel Moraes, Peprah, Emmanuel K, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petri, William A, Petzold, Max, Pierce, Maxwell, Pigott, David M, Pillay, Julian David, Pirsaheb, Meghdad, Polanczyk, Guilherme V, Postma, Maarten J, Pourmalek, Farshad, Pourshams, Akram, Poustchi, Hossein, Prakash, Swayam, Prasad, Narayan, Purcell, Caroline A, Purwar, Manorama B, Qorbani, Mostafa, Quansah, Reginald, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Md Shafiur, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E, Razo-García, Christian, Reiner, Robert C, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Riahi, Seyed Mohammad, Rios-Blancas, Maria Jesus, Roba, Kedir Teji, Roberts, Nicholas L S, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Rubagotti, Enrico, Ruhago, George Mugambage, Sabde, Yogesh Damodar, Sachdev, Perminder S, Saddik, Basema, Saeedi Moghaddam, Sahar, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salahshoor, Mohamadreza, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saldanha, Raphael De Freitas, Saleem, Zikria, Salimi, Yahya, Salimzadeh, Hamideh, Salomon, Joshua A, Salvi, Sundeep Santosh, Salz, Inbal, Sambala, Evanson Zondani, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolores, Santos, Itamar S, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarmiento-Suárez, Rodrigo, Saroshe, Satish, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Schaeffner, Elke, Schelonka, Kathryn, Schneider, Ione J C, Schwebel, David C, Schwendicke, Falk, Seedat, Soraya, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabaninejad, Hosein, Shackelford, Katya Anne, Shafieesabet, Azadeh, Shaheen, Amira A, Shaikh, Masood Ali, Shakir, Raad A, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Sharafi, Heidar, Sharafi, Kiomars, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokraneh, Farhad, Shukla, Sharvari Rahul, Si, Si, Siabani, Soraya, Sibai, Abla Mehio, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silpakit, Naris, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Sliwa, Karen, Soares Filho, Adauto Martins, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Soriano, Joan B, Soyiri, Ireneous N, Sreeramareddy, Chandrashekhar T, Starodubov, Vladimir I, Steiner, Caitlyn, Stewart, Leo G, Stokes, Mark A, Strong, Mark, Subart, Michelle L, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L, Sylaja, P N, Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Tadakamadla, Santosh Kumar, Tandon, Nikhil, Tassew, Aberash Abay, Tassew, Segen Gebremeskel, Taveira, Nuno, Tawye, Nega Yimer, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Teshale, Manaye Yihune, Tessema, Belay, Teweldemedhin, Mebrahtu, Thakur, Jarnail Singh, Thankappan, Kavumpurathu Raman, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomson, Alan J, Tilahun, Binyam, To, Quyen G, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Tortajada-Girbés, Miguel, Tovani-Palone, Marcos Roberto, Toyoshima, Hideaki, Tran, Bach Xuan, Tran, Khanh Bao, Tripathy, Srikanth Prasad, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tsegay, Amanuel, Tsilimparis, Nikolaos, Tudor Car, Lorainne, Ukwaja, Kingsley N, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Uzun, Selen Begüm, Vaduganathan, Muthiah, Vaezi, Afsane, Vaidya, Gaurang, Valdez, Pascual R, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogales, Venketasubramanian, Narayanaswamy, Villafaina, Santos, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Walson, Judd L, Wang, Yanping, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey, Widecka, Justyna, Widecka, Katarzyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D A, Wu, Shouling, Wyper, Grant M A, Xu, Gelin, Yamada, Tomohide, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Ye, Pengpeng, Yentür, Gökalp Kadri, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeleke, Mulugeta Molla, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Xueying, Zhao, Xiu-Ju, Zhou, Maigeng, Zhu, Jun, Zimsen, Stephanie R M, Zodpey, Sanjay, Zoeckler, Leo, Lopez, Alan D, Lim, Stephen S, Halk Sağlığı, GBD 2017 Population Fertility Coll, Murray, Cjl, Callender, Cskh, Kulikoff, Xr, Srinivasan, V, Abate, D, Abate, Kh, Abay, Sm, Abbasi, N, Abbastabar, H, Abdela, J, Abdelalim, A, Abdel-Rahman, O, Abdi, A, Abdoli, N, Abdollahpour, I, Abdulkader, R, Abebe, Ht, Abebe, M, Abebe, Z, Abebo, Ta, Abejie, An, Aboyans, V, Abraha, Hn, Abreu, Dmx, Abrham, Ar, Abu-Raddad, Lj, Abu-Rmeileh, Nme, Accrombessi, Mmk, Acharya, P, Adamu, Aa, Adebayo, Om, Adedeji, Ia, Adekanmbi, V, Adetokunboh, Oo, Adhena, Bm, Adhikari, Tb, Adib, Mg, Adou, Ak, Adsuar, Jc, Afarideh, M, Afshin, A, 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Vasconcelos, A, Vladimirov, S, Vollset, S, Walson, J, Weintraub, R, Weldegwergs, K, Wolfe, C, Wyper, G, Yasin, Y, Yentür, G, Yimer, E, Yoon, S, Younis, M, Zaman, S, Zeleke, M, Zenebe, Z, Zerfu, T, Zhao, X, Zimsen, S, Lopez, A, and Lim, S
Subjects: Adult, Male, Population Density, GBD, population, fertility, Adolescent, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, Global Health, Global Burden of Disease, Young Adult, Child, Preschool, General & Internal Medicine, Female, Human medicine, Mortality, Child, Population Growth, Birth Rate, Aged, Human, Maternal Age
Abstract: Background Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-cotnponent method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings From 1950 to 2017, TFRs decreased by 49.4% (95% uncertainty interval [UI] 46.4-52.0). The TFR decreased from 4.7 livebirths (4.5-4.9) to 2.4 livebirths (2.2-2.5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83.8 million people per year since 1985. The global population increased by 197-2% (193.3-200.8) since 1950, from 2.6 billion (2.5-2.6) to 7.6 billion (7.4-7.9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2.0%; this rate then remained nearly constant until 1970 and then decreased to 1.1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2.5% in 1963 to O7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2.7%. The global average age increased from 26.6 years in 1950 to 32.1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59.9% to 65.3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1.0 livebirths (95% UI 0. 9-1.2) in Cyprus to a high of 7.1 livebirths (6.8-7.4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0.08 livebirths (0.07-0.09) in South Korea to 2.4 livebirths (2.2-2.6) in Niger, and the TFR over age 30 years (I F030; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0.3 livebirths (0.3-0-4) in Puerto Rico to a high of 3.1 livebirths (3.0-3.2) in Niger. TF030 was higher than TFU25 in 145 countries and territories in 2017.33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2.0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

19. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: James, Spencer L., Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen M. E., Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N., Adamu, Abdu A., Adebayo, Oladimeji M., Adekanmbi, Victor, Adetokunboh, Olatunji O., Adib, Mina G., Adsuar, Jose C., Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M., Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M., Al-Raddadi, Rajaa M., Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed M. L., Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R., Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F. G. A., Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S., Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Ballesteros, Katherine E., Ballew, Shoshana H., Banach, Maciej, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Belachew, Abate Bekele, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bensenor, Isabela M., Bernabe, Eduardo, Bernstein, Robert S., Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Blacker, Brigette F., Blyth, Fiona M., Bou-Orm, Ibrahim R., Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Brainin, Michael, Brant, Luisa C., Brazinova, Alexandra, Breitborde, Nicholas J. 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Marzan, Mb, Mashamba-Thompson, Tp, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mehndiratta, Mm, Mehta, Km, Memiah, Ptn, Memish, Za, Mengistu, Dt, Mensah, Ga, Mereta, St, Meretoja, Tj, Mezerji, Nmg, Millear, Ai, Miller, Tr, Mini, Gk, Mirrakhimov, Em, Misganaw, At, Mitchell, Pb, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Mruts, Kb, Muche, Aa, Muchie, Kf, Mueller, Uo, Mumford, Je, Musa, Ki, Nabhan, Af, Nansseu, Jr, Nascimento, Br, Negoi, Ri, Newton, Crj, Ngunjiri, Jw, Nguyen, Aq, Nguyen, Ht, Nguyen, Hlt, Nguyen, Lh, Nguyen, Nb, Nguyen, Sh, Ningrum, Dna, Nixon, Mr, Norheim, Of, Noubiap, Jj, Nouri, Hr, Nowroozi, Mr, Nsoesie, Eo, Odell, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olagunju, To, Olivares, Pr, Olsen, He, Olusanya, Bo, Ong, Kl, Ong, Sk, Owolabi, Mo, Pakpour, Ah, Park, Ek, Parry, Cdh, Patil, St, Patton, Gc, Paturi, Vr, Paulson, Kr, Pereira, Dm, Pham, Hq, Phillips, Mr, Pigott, Dm, Pillay, Jd, Piradov, Ma, Postma, Mj, Purcell, Ca, Purwar, Mb, 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Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shishani, Kawkab, Shiue, Ivy, Shokraneh, Farhad, Shoman, Haitham, Shrime, Mark G, Si, Si, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Slepak, Erica Leigh N, Sliwa, Karen, Smith, David L, Smith, Mari, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Sobngwi, Eugène, Soneji, Samir S, Soofi, Moslem, Soosaraei, Masoud, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Stokes, Mark A, Stovner, Lars Jacob, 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Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeleke, Ayalew Jejaw, Zenebe, Zerihun Menlkalew, Zhang, Kai, Zhao, Zheng, Zhou, Maigeng, Zodpey, Sanjay, Zucker, Inbar, Vos, Theo, and Murray, Christopher J L
Subjects: YLDs, global burden of disease, General & Internal Medicine, Medicine (all), prevalence, incidence, Human medicine, global burden of disease, YLDs, incidence, prevalence, GBD, years lived with disability
Abstract: Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. Methods We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Findings Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 39% (95% uncertainty interval [UI] 3.1-4. 6) from 1990 to 2017; however, the all-age YLD rate increased by 7.2% (6.0-8.4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7.9% (6 6-9. 2) for males and 6.5% (5.4-7.7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs 1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-hatin and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]). Interpretation Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

20. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asadi-Lari, 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Satinath, Mullany, Erin C, Muller, Kate, Murhekar, Manoj, Murphy, Tasha B, Murthy, G.V.S., Murthy, Sriniva, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Nair, Sanjeev, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramo, Nawaz, Haseeb, Ncama, Busisiwe P, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Suba, Newton, Charles Richard Jame, Ngalesoni, Frida N, Ngunjiri, Josephine W, Nguyen, Ha Thu, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Michele, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nisar, Muhammad Imran, Nixon, Molly R, Nolutshungu, Nomonde, Nomura, Shuhei, Norheim, Ole F, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacque, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Ofori-Asenso, Richard, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Sok King, Opio, John Nelson, Oren, Eyal, Ortiz, Justin R, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, Oyekale, Abayomi Samuel, P A, Mahesh, Pacella, Rosana, Pakhale, Smita, Pakhare, Abhijit P, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandey, Achyut Raj, Pandian, Jeyaraj Durai, Parisi, Andrea, Park, Eun-Kee, Parry, Charles D H, Parsian, Hadi, Patel, Shanti, Patle, Ajay, Patten, Scott B, Patton, George C, Paudel, Deepak, Pearce, Neil, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perez, Krystle M, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Petri, William A, Petzold, Max, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Pirsaheb, Meghdad, Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Pond, Constance Dimity, Popova, Svetlana, Postma, Maarten J, Pourmalek, Farshad, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, V., Prakash, Swayam, Prasad, Narayan, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Raju, Sree Bhushan, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Ranta, Anna, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E, Razo-García, Christian, Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C, Reinig, Nickola, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Riahi, Seyed Mohammad, Ribeiro, Antonio Luiz P, Riojas, Horacio, Rios-Blancas, Maria Jesu, Roba, Kedir Teji, Robinson, Stephen R, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Roshchin, Denis O, Rostami, Ali, Rothenbacher, Dietrich, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S, Saddik, Basema, Sadeghi, Ehsan, Moghaddam, Sahar Saeedi, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salahshoor, Mohamadreza, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saldanha, Raphael de Freita, Salimi, Yahya, Salimzadeh, Hamideh, Salz, Inbal, Sambala, Evanson Zondani, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolore, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Savic, Miloje, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Sayyah, Mehdi, Scaria, Vinod, Schaeffner, Elke, Schelonka, Kathryn, Schmidt, Maria Inê, Schneider, Ione J C, Schöttker, Ben, Schutte, Aletta Elisabeth, Schwebel, David C, Schwendicke, Falk, Scott, James G, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabaninejad, Hosein, Shackelford, Katya Anne, Shafieesabet, Azadeh, Shaheen, Amira A, Shaikh, Masood Ali, Shakir, Raad A, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Sharafi, Heidar, Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Meenakshi, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Sheth, Kevin N, Shi, Peilin, Shibuya, Kenji, Shifa, Girma Temam, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokraneh, Farhad, Shrime, Mark G, Shukla, Sharvari Rahul, Si, Si, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silpakit, Nari, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Virendra, Sinha, Anju Pradhan, Sinha, Dhirendra Narain, Sitas, Freddy, Skirbekk, Vegard, Sliwa, Karen, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Soriano, Joan B, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Srivastava, Rakesh Kumar, Starodubov, Vladimir I, Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J, Steiner, Caitlyn, Stewart, Leo G, Stokes, Mark A, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L, Sylaja, P.N., Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Takahashi, Ken, Tandon, Nikhil, Tassew, Aberash Abay, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Tawye, Nega Yimer, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Teshale, Manaye Yihune, Tessema, Belay, Teweldemedhin, Mebrahtu, Thakur, Jarnail Singh, Thankappan, Kavumpurathu Raman, Thirunavukkarasu, Sathish, Thomas, Laura Anne, Thomas, Nihal, Thrift, Amanda G, Tilahun, Binyam, To, Quyen G, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Torre, Anna E, Tortajada-Girbés, Miguel, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Tripathi, Suryakant, Tripathy, Srikanth Prasad, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tsilimparis, Nikolao, Tudor Car, Lorainne, Tuzcu, E Murat, Tyrovolas, Stefano, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Uzun, Selen Begüm, Vaduganathan, Muthiah, Vaezi, Afsane, Vaidya, Gaurang, Valdez, Pascual R, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vujcic, Isidora S, Wagner, Gregory R, Wagnew, Fasil Wagnew Shiferaw, Waheed, Yasir, Wang, Yanping, Wang, Yuan-Pang, Wassie, Molla Mesele, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Weiss, Jordan, Weldegebreal, Fitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Widecka, Katarzyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D A, Wondemagegn, Sintayehu Ambachew, Wu, Shouling, Wyper, Grant M A, Xu, Gelin, Yadav, Rajaram, Yakob, Bereket, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Ye, Pengpeng, Yearwood, Jamal A, Yentür, Gökalp Kadri, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, York, Hunter W, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zachariah, Geevar, Zadnik, Vesna, Zafar, Shamsa, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeeb, Hajo, Zeleke, Mulugeta Molla, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Kai, Zhang, Xueying, Zhou, Maigeng, Zhu, Jun, Zodpey, Sanjay, Zucker, Inbar, Zuhlke, Liesl Joanna J, Lopez, Alan D, Gakidou, Emmanuela, and Murray, Christopher J L
Subjects: Child mortality, Alnæmi, Dánartíðni, Heilsufar, GBD, Börn, Dauði, Almennar lyflækningar, Fullorðnir, General & Internal Medicine, parasitic diseases, Psychology, age-specific mortality, Estimating adult mortality, Medicine (all), HIV, 11 Medical And Health Sciences, General Medicine, All-cause mortality, humanities, Countries, Death, mortality, national, Sálfræði, Health, GBD, mortality, Human medicine, Trends
Abstract: The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law-2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data., Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing., Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163).
Published: 2018

21. Incidence and Prevalence of Primary Sclerosing Cholangitis: A Meta-analysis of Population-based Studies.

Author: Cooper J, Markovinovic A, Coward S, Herauf M, Shaheen AA, Swain M, Panaccione R, Ma C, Lu C, Novak K, Kroeker KI, Ng SC, and Kaplan GG
Subjects: Humans, Incidence, Prevalence, Cholangitis, Sclerosing epidemiology
Abstract: Background: Primary sclerosing cholangitis is a chronic liver disease associated with significant morbidity, mortality, and healthcare utilization. We conducted a systematic review and meta-analysis of population-based studies of the incidence and prevalence of primary sclerosing cholangitis., Methods: Medline and Embase were systematically searched to identify population-based studies of a defined geographic area and reported the incidence or prevalence of primary sclerosing cholangitis in the general population. Meta-analyses, using random-effects, were performed to calculate overall and country-specific incidence (per 100 000 persons/year) and prevalence rates (per 100 000 persons) with 95% confidence intervals., Results: The 14 studies on incidence and the 12 for prevalence originated from North America, Asia, Europe, and Oceania. Incidence and prevalence rates of primary sclerosing cholangitis were 0.87 (95% confidence interval, 0.59-1.29) and 13.53 (95% confidence interval, 10.20-17.94) per 100 000 persons, respectively., Conclusions: Both the prevalence and incidence of primary sclerosing cholangitis is low in the general population. Future studies on the incidence and prevalence of primary sclerosing cholangitis in the general population should be directed at Asia, Africa, and Latin America to allow for a more robust assessment of the global epidemiology of primary sclerosing cholangitis., (© The Author(s) 2023. Published by Oxford University Press on behalf of Crohn’s & Colitis Foundation. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)
Published: 2024
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22. Attenuation of p38 MAPK/NF-κB/TRPV1/CGRP is involved in the antinociceptive effect of hesperidin methyl chalcone and taxifolin in paclitaxel-induced peripheral neuropathy.

Author: Abd Elaleem WS, Ghaiad HR, Abd Elmawla MA, and Shaheen AA
Abstract: Paclitaxel (PTX)-induced peripheral neuropathy (PIPN) is a disabling side effect of PTX, which adversely affects the life quality of cancer patients. Flavonoids such as hesperidin methyl chalcone (HMC) and taxifolin (TAX) can alleviate neuropathic pain via their anti-inflammatory, antioxidant, neuroprotective, and antinociceptive properties. The current study aimed to assess the efficacy of HMC and TAX in preventing PIPN individually or in combination. Pretreatment with HMC and TAX mitigated PTX-induced mechanical allodynia and hyperalgesia, cold allodynia, and thermal hyperalgesia as well as restore the normal histological architecture. Remarkably, neuropathic pain was relieved by suppression of nerve growth factor (NGF), p38 mitogen-activated protein kinase (p38 MAPK), and transient receptor potential vanilloid type-1 (TRPV1), which ultimately lead to reduced calcitonin gene-related peptide (CGRP). Furthermore, both HMC or TAX enhanced nuclear factor erythroid 2-related factor 2 (Nrf2), leading to elevated glutathione (GSH) and total antioxidant capacity (TAC) along with lowered malondialdehyde (MDA), which in turn, downregulated nuclear factor kappa B P65 (NF-κB P65) and its phosphorylated form and eventually reduced tumor necrosis factor alpha (TNF-α) and interleukin-1 beta (IL-1β) then lowered the apoptotic indices. Promisingly, the combination of both agents was superior to each drug alone through targeting more diverse signaling pathways and achieving synergistic and comprehensive therapeutic effects. In conclusion, pretreatment with HMC and TAX separately or in combination alleviated PIPN via modulating NGF/p38 MAPK/NF-κB P65/TRPV1/CGRP pathway., (© 2024 International Union of Biochemistry and Molecular Biology.)
Published: 2024
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23. Epidemiology and natural history of chronic Hepatitis B in the Canadian province of Alberta from 2012 to 2021: A population-based study.

Author: Kochaksaraei GS, Yang F, Seow CH, Barkema HW, Coffin CS, and Shaheen AA
Abstract: Introduction and Objectives: There are limited recent data on the burden of chronic hepatitis B (CHB) in the North American general population. We aimed to identify the CHB burden from a Canadian population-based perspective., Patients and Methods: Using a retrospective cohort design, we searched Alberta Analytics administrative databases including the Provincial Laboratory database, to describe CHB epidemiology and natural history in Alberta, Canada between fiscal years 2012-2020. We analyzed incidence and prevalence trends using a Poisson regression model and conducted Kaplan-Meier analyses to examine the incident cohort's survival., Results: The age/sex-adjusted incidence of CHB between 2015-2020 was 27.1/100,000 person/years (29.6/100,000 in males and 24.5/100,000 in females) and was highest among individuals aged 45-64 years. Despite a decrease in annual incidence of CHB from 36.4 to 13.4/100,000 between 2015-2020, prevalence increased from 98.9 to 210.3/100,000 in the same period. Of 6,860 incident cases, 2.1% died, and 0.2% underwent liver transplantation during a median follow-up of 3.6 years (interquartile range 2.0-4.9 years). CHB patients had significantly lower survival rates compared to age/sex-matched Canadians, with a standardized mortality ratio of 3.9 (95% confidence interval [CI] 3.3-4.6). Male sex (hazard ratio [HR] 1.7; 95% CI 1.2-2.5), older age at diagnosis (HR, 1.08; 95% CI 1.07-1.09) independently predicted mortality., Conclusions: CHB incidence decreased in Alberta, which is consistent with nationwide trends. Males and individuals aged 45-64 had higher CHB incidence and prevalence. CHB patients' lower survival rates emphasize the need to address barriers to guideline recommended HBV care linkage., Competing Interests: Declaration of interests Dr. Golasa Samadi Kochaksaraei: No conflict of interest to declare. Ms. Fengjuan Yang: No conflict of interest to declare. Professor Cynthia Seow: Advisory Boards: Janssen, Abbvie, Takeda, Pfizer, Fresenius Kabi, Bristol Myers Squibb, Pharmascience, Lilly. Speaker: Janssen, Abbvie, Takeda, Pfizer, Fresenius Kabi. Professor Herman Barkema: Advisory Boards: Dairy Farmers of Canada, Alberta Milk, Public Health Agency of Canada, Genome Canada. Speaker: BioMerieux, HIPRA, Merck, Alberta Milk, Public Health Agency of Canada, China Agriculture University, Lactanet. Funding: AAFC, Dairy Farmers of Canada, RDAR, Alberta Innovates, Alberta Health, Alberta Milk, Lactanet, Genome Alberta, Genome Canada, JPIAMR, WHO. Professor Carla Coffin: Advisory/ Consulting boards: Altimmune Pharmaceuticals, Janssen, Roche, Gilead (paid to the University of Calgary, c/o the Canadian HBV Network) and personal fees (Gilead). Grants, clinical trials, materials: Investigator Initiated, Gilead, GSK, Janssen (paid to the University of Calgary c/o the Canadian HBV Network and/or support of preclinical studies. Associate Professor Abdel-Aziz Shaheen. Advisory/ Consulting boards: Gilead and Novo Nordisk. Grants, clinical trials, materials: Investigator Initiated, Gilead., (Copyright © 2024 Fundación Clínica Médica Sur, A.C. Published by Elsevier España, S.L.U. All rights reserved.)
Published: 2024
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24. Chronic liver disease after allogeneic hematopoietic cell transplantation.

Author: Randhawa B, Blosser N, Daly A, Storek J, Shaheen AA, and Jamani K
Subjects: Humans, Male, Middle Aged, Female, Adult, Chronic Disease, Retrospective Studies, Case-Control Studies, Aged, Prevalence, Graft vs Host Disease etiology, Graft vs Host Disease epidemiology, Risk Factors, Hematopoietic Stem Cell Transplantation adverse effects, Liver Diseases epidemiology, Liver Diseases etiology, Transplantation, Homologous adverse effects
Abstract: Background Aims: There are few descriptions of the epidemiology of chronic liver disease (CLD) after allogeneic hematopoietic stem cell transplantation (allo-HCT). Among those transplanted before 2000, viral hepatitis was the dominant cause of CLD. Recently, the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD, previously known as nonalcoholic fatty liver disease) is increasing in the general population. In addition, survivors of allo-HCT are known to be at increased risk of metabolic syndrome. We set out to describe the epidemiology of CLD in a modern cohort of allo-HCT recipients. We hypothesized that MASLD would be the most common cause of CLD in the cohort., Methods: We undertook a retrospective cohort and nested case-control study of 2-year survivors of allo-HCT in Alberta transplanted between 2008 and 2018., Results: Among 392 2-year survivors of allo-HCT between 2008 and 2018, the prevalence of CLD was 41.8% and MASLD was identified in 56% of those with CLD, followed by iron overload in 47% of those with CLD. The prevalence of MASLD among the entire cohort was 46%. Although most patients developed CLD before 2 years post-transplant, there was a 13% cumulative incidence of new CLD after 2 years posttransplant. Grade 2-4 acute graft-versus-host disease and/or moderate-to-severe chronic graft-versus-host disease and pretransplant CLD were strongly associated with CLD. In the case-control study examining the association between cardiovascular risk factors and CLD, type 2 diabetes was associated with CLD. Cirrhosis developed in 1.5% of survivors, and MASLD was an underlying etiology in one half of these cases. There was no difference in overall survival and non-relapse mortality between those who did and did not develop CLD., Conclusions: MASLD is the main cause of CLD in recent long-term survivors of allo-HCT and may be associated with post-transplant corticosteroid exposure and type 2 diabetes. We note a shift in the underlying etiology of CLD post-HCT: previous studies describe viral hepatitis as the most common cause of CLD. The high prevalence of MASLD in allo-HCT recipients has important implications for survivorship care., Competing Interests: Declaration of competing interest The authors have no commercial, proprietary or financial interest in the products or companies described in this article., (Copyright © 2024 International Society for Cell & Gene Therapy. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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25. US National Estimates of Contemporary Mortality Rates in Patients With Ulcerative Colitis Undergoing Colectomy.

Author: Ahmed NS, Krawchuk S, Buhler KA, Solitano V, Jairath V, Shaheen AA, Seow CH, Novak KL, Ingram RJM, Lu C, Kotze PG, Kaplan GG, Panaccione R, and Ma C
Abstract: Introduction: Despite a growing armamentarium of medical therapies for ulcerative colitis, colectomy remains an important therapeutic option. To better inform shared decision-making about surgery, we estimated the contemporary risk of mortality after colectomy., Methods: Mortality rates were estimated using the National Inpatient Sample (2016-2020). Factors associated with postcolectomy death were evaluated in multivariable regression., Results: Postcolectomy mortality occurred in 1.2% (95% CI: 0.8%, 1.9%) of hospitalizations. Comorbidity burden, emergent laparotomy, and delays to surgery >5 days after admission were associated with mortality., Discussion: Colectomy may be associated with mortality; however, this risk is heterogeneous based on patient- and procedural-related factors., (Copyright © 2024 by The American College of Gastroenterology.)
Published: 2024
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26. Epidemiology, linkage to care and natural history of women of childbearing age with chronic hepatitis B: A population-based study.

Author: Kochaksaraei GS, Yang F, Seow CH, Barkema HW, Coffin CS, and Shaheen AA
Subjects: Humans, Female, Adult, Middle Aged, Young Adult, Pregnancy, Adolescent, Prevalence, Retrospective Studies, Incidence, Alberta epidemiology, Hepatitis B, Chronic epidemiology, Pregnancy Complications, Infectious epidemiology, Pregnancy Complications, Infectious virology
Abstract: Pregnant women with chronic hepatitis B (CHB) are a priority population for hepatitis B care. Identification of HBV status prior to pregnancy would facilitate timely maternal interventions and perinatal care. In our study, we aimed to study the epidemiology of CHB among women of childbearing age (WoCBA, 18-49 years) in Alberta, Canada. We retrospectively analysed Alberta Analytics databases to study CHB epidemiology, natural history and care linkage among WoCBA in Alberta, between April 2012 and March 2021. A Poisson regression was conducted to estimate incidence of newly identified CHB cases and prevalence trends, whereas predictors of care linkage were determined using logistic regression. Age/sex-adjusted incidence of newly identified CHB among WoCBA between 2015 and 2020 was 36.2/100,000 person/years, highest among individuals aged 30-39 years. Incidence of newly identified CHB decreased from 52.6 to 18.2/100,000 between 2015 and 2020, but prevalence increased from 131.7 to 248.6/100,000 in the same period. Newly identified CHB incident cases (n = 2124) had lower survival rates than age/sex-matched Canadians, with a standardized mortality ratio of 5.7 (95% CI 2.6-11.0). Increasing age (years) at diagnosis (HR, 1.2; 95% CI 1.1-1.3) was independently associated with mortality. Comorbid hepatocellular carcinoma, anti-HBV treatment and year of diagnosis were not significantly associated with mortality. Of the 1927 women with 2436 hepatitis B surface antigen-positive pregnancies from 2012 to 2020, only 27.6% had recommended HBV assessment during pregnancy. Of those women meeting criteria for antiviral therapy to prevent mother-to-child transmission (MTCT), only 66.4% received treatment. Suboptimal management during pregnancy and overall lower survival rates highlight the need to address care linkage barriers in women of childbearing age living with CHB., (© 2024 The Authors. Journal of Viral Hepatitis published by John Wiley & Sons Ltd.)
Published: 2024
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27. Validating new coding algorithms to improve identification of alcohol-associated and nonalcohol-associated cirrhosis hospitalizations in administrative databases.

Author: Swain LA, Godley J, Brahmania M, Abraldes JG, Tang KL, Flemming J, and Shaheen AA
Subjects: Humans, Male, Female, Middle Aged, Canada, International Classification of Diseases, Aged, Clinical Coding, Sensitivity and Specificity, Adult, Hospitalization statistics & numerical data, Liver Cirrhosis, Algorithms, Databases, Factual, Electronic Health Records, Liver Cirrhosis, Alcoholic
Abstract: Background: Alcohol (AC) and nonalcohol-associated cirrhosis (NAC) epidemiology studies are limited by available case definitions. We compared the diagnostic accuracy of previous and newly developed case definitions to identify AC and NAC hospitalizations., Methods: We randomly selected 700 hospitalizations from the 2008 to 2022 Canadian Discharge Abstract Database with alcohol-associated and cirrhosis-related International Classification of Diseases 10th revision codes. We compared standard approaches for AC (ie, AC code alone and alcohol use disorder and nonspecific cirrhosis codes together) and NAC (ie, NAC codes alone) case identification to newly developed approaches that combine standard approaches with new code combinations. Using electronic medical record review as the reference standard, we calculated case definition positive and negative predictive values, sensitivity, specificity, and AUROC., Results: Electronic medical records were available for 671 admissions; 252 had confirmed AC and 195 NAC. Compared to previous AC definitions, the newly developed algorithm selecting for the AC code, alcohol-associated hepatic failure code, or alcohol use disorder code with a decompensated cirrhosis-related condition or NAC code provided the best overall positive predictive value (91%, 95% CI: 87-95), negative predictive value (89%, CI: 86-92), sensitivity (81%, CI: 76-86), specificity (96%, CI: 93-97), and AUROC (0.88, CI: 0.85-0.91). Comparing all evaluated NAC definitions, high sensitivity (92%, CI: 87-95), specificity (82%, CI: 79-86), negative predictive value (96%, CI: 94-98), AUROC (0.87, CI: 0.84-0.90), but relatively low positive predictive value (68%, CI: 62-74) were obtained by excluding alcohol use disorder codes and using either a NAC code in any diagnostic position or a primary diagnostic code for HCC, unspecified/chronic hepatic failure, esophageal varices without bleeding, or hepatorenal syndrome., Conclusions: New case definitions show enhanced accuracy for identifying hospitalizations for AC and NAC compared to previously used approaches., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases.)
Published: 2024
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28. Projected Healthcare System Cost Burden of Metabolic Dysfunction-Associated Steatotic Liver Disease in Canada.

Author: Memedovich KA, Shaheen AA, Swain MG, and Clement FM
Abstract: Background and Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide. The current and projected cost of treating individuals with MASLD in Canada remains unknown. Our objective was to calculate the projected liver-specific and total health-care costs for people living with MASLD in Canada from 2020 to 2050., Methods: The health-care usage of a cohort of patients diagnosed with MASLD in Calgary, Alberta was calculated using administrative data. Liver-specific encounters were identified and the average costs per year per patient were calculated. Projected costs were calculated by multiplying the average cost per patient within each health state by the projected prevalence of each health state., Results: There were 6358 patients in the cohort. The annual average liver-specific cost per patient was $7.02 for F0/F1, $35.30 for F2, $60.46 for F3, and $72.55 for F4. The projected Canada-wide liver-specific cost was $85.5 million in 2020 and was expected to increase by $51 million by 2050. The average annual total health-care cost per patient was $397.90 for F0/F1, $781.53 for F2, $2881.84 for F3, and $1598.82 for F4. Thus, the projected Canada-wide total health-care cost was $3.76 billion in 2020 and was expected to increase by almost $2 billion by 2050., Conclusion: These estimates underscore the need for a MASLD framework that focuses on both prevention and innovative care models to change the predicted trajectory of health-care costs., (© 2024 The Authors.)
Published: 2024
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29. Electrical Characterization of Epoxy Nanocomposite under High DC Voltage.

Author: Alsoud A, Daradkeh SI, Al-Bashaish SR, Shaheen AA, Jaber AMDA, Abuamr AM, Mousa MS, and Holcman V
Abstract: This work studies the direct current breakdown characteristics of unfilled epoxy and epoxy nonconductive nanocomposites (SiO2,MgO and Al2O3). It also examines the variation of electrical properties in epoxy nanocomposites. The novel aspect of this study is that the samples of Epoxy nanocomposite were exposed to high voltages of up to six kilo volts for three hours using field electron microscopy under high vacuum conditions (10-5 mbar). The current emitted from these samples was measured at three different intervals of time. In addition, the influence of high voltage on the permittivity, loss factor (tan(δ)), and conductivity of the epoxy nanocomposite was studied. This evaluation was conducted before and after applying the voltage at room temperature, The frequency range extends from 10-2-10-7 Hz using the Novo Control Alpha-A analyzer. Current-voltage characterization was performed through field electron microscopy. The samples were characterized by scanning electron microscopy-energy dispersive X-ray spectroscopy and Fourier Transform Infrared Spectroscopy. The unfilled epoxy exhibited structural degradation, resulting in the formation of holes when exposed to high voltages of up to six kilo volts, leading to a reduction in electrical properties. Nevertheless, the addition of nanoparticles shows a significant increase in the operational lifetime of the epoxy nanocomposite. The degree of increase in the lifetime of epoxy composite varied depending on several factors such as the type of NPs introduced and their respective sizes. The epoxy/Al2O3 nanocomposite comparing with epoxy/MgO and epoxy/SiO2 nanocomposite showed elevated resistance to direct current breakdown strength and maintaining its dielectric.
Published: 2024
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30. Editorial: The tsunami of steatotic liver disease in India, the Asia-Pacific region and the world.

Author: Shaheen AA and Brahmania M
Subjects: Humans, Asia epidemiology, India epidemiology, Fatty Liver
Published: 2024
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31. A model including standardized weight improved predicting waiting list mortality in adolescent liver transplant candidates: A US national study.

Author: Shaheen AA, Martin SR, Khorsheed S, and Abraldes JG
Subjects: Humans, Adolescent, Child, United States epidemiology, Retrospective Studies, Waiting Lists, Creatinine, Severity of Illness Index, Liver Transplantation adverse effects, End Stage Liver Disease diagnosis, End Stage Liver Disease surgery, Tissue and Organ Procurement
Abstract: The Model for End-Stage Liver Disease (MELD) score has been employed to identify adolescents eligible for liver transplantation since 2004. However, the optimal model for prioritizing adolescent candidates is uncertain. In our study, we aimed at evaluating the value of adding anthropometric variables to liver transplantation allocation models among adolescents. We conducted a retrospective cohort study using the data from the Organ Procurement and Transplantation Network Standard Transplant Analysis and Research to identify adolescent patients registered on the liver transplant waiting list in the United States between January 1, 2003, and December 31, 2022. Adolescents (12-17 y) who were listed for their first liver transplantation were included. We evaluated the performance of different models including pediatric end-stage liver disease with Na and creatinine, MELD, and MELD 3.0. Furthermore, we evaluated whether adding anthropometric variables ( z -score for weight and height) would improve the models' performance for our primary outcome (mortality at 90 days after listing). We identified 1421 eligible adolescent patients. Adding a z -score of weight (MELD-TEEN) improved the performance and discrimination of the MELD score. The final model including weight z -score (MELD-TEEN) had better discriminative power compared to MELD 3.0 and pediatric end-stage liver disease with Na and creatinine in the overall cohort and in different age groups (ages 12-14 and 15-17). MELD-TEEN could improve the accuracy of allocation of liver transplants among adolescents by incorporating the weight z -score compared to MELD 3.0 and pediatric end-stage liver disease with Na and creatinine., (Copyright © 2023 American Association for the Study of Liver Diseases.)
Published: 2024
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32. Evaluating the coding accuracy of type 2 diabetes mellitus among patients with non-alcoholic fatty liver disease.

Author: Lee S, Shaheen AA, Campbell DJT, Naugler C, Jiang J, Walker RL, Quan H, and Lee J
Subjects: Humans, Comorbidity, Patient Discharge, Alberta epidemiology, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Non-alcoholic Fatty Liver Disease complications, Non-alcoholic Fatty Liver Disease diagnosis, Non-alcoholic Fatty Liver Disease epidemiology
Abstract: Background: Non-alcoholic fatty liver disease (NAFLD) describes a spectrum of chronic fattening of liver that can lead to fibrosis and cirrhosis. Diabetes has been identified as a major comorbidity that contributes to NAFLD progression. Health systems around the world make use of administrative data to conduct population-based prevalence studies. To that end, we sought to assess the accuracy of diabetes International Classification of Diseases (ICD) coding in administrative databases among a cohort of confirmed NAFLD patients in Calgary, Alberta, Canada., Methods: The Calgary NAFLD Pathway Database was linked to the following databases: Physician Claims, Discharge Abstract Database, National Ambulatory Care Reporting System, Pharmaceutical Information Network database, Laboratory, and Electronic Medical Records. Hemoglobin A1c and diabetes medication details were used to classify diabetes groups into absent, prediabetes, meeting glycemic targets, and not meeting glycemic targets. The performance of ICD codes among these groups was compared to this standard. Within each group, the total numbers of true positives, false positives, false negatives, and true negatives were calculated. Descriptive statistics and bivariate analysis were conducted on identified covariates, including demographics and types of interacted physicians., Results: A total of 12,012 NAFLD patients were registered through the Calgary NAFLD Pathway Database and 100% were successfully linked to the administrative databases. Overall, diabetes coding showed a sensitivity of 0.81 and a positive predictive value of 0.87. False negative rates in the absent and not meeting glycemic control groups were 4.5% and 6.4%, respectively, whereas the meeting glycemic control group had a 42.2% coding error. Visits to primary and outpatient services were associated with most encounters., Conclusion: Diabetes ICD coding in administrative databases can accurately detect true diabetic cases. However, patients with diabetes who meets glycemic control targets are less likely to be coded in administrative databases. A detailed understanding of the clinical context will require additional data linkage from primary care settings., (© 2024. The Author(s).)
Published: 2024
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33. Exploring the reliability of inpatient EMR algorithms for diabetes identification.

Author: Lee S, Martin EA, Pan J, Eastwood CA, Southern DA, Campbell DJT, Shaheen AA, Quan H, and Butalia S
Subjects: Humans, Inpatients, Reproducibility of Results, Algorithms, Electronic Health Records, Diabetes Mellitus
Abstract: Introduction: Accurate identification of medical conditions within a real-time inpatient setting is crucial for health systems. Current inpatient comorbidity algorithms rely on integrating various sources of administrative data, but at times, there is a considerable lag in obtaining and linking these data. Our study objective was to develop electronic medical records (EMR) data-based inpatient diabetes phenotyping algorithms., Materials and Methods: A chart review on 3040 individuals was completed, and 583 had diabetes. We linked EMR data on these individuals to the International Classification of Disease (ICD) administrative databases. The following EMR-data-based diabetes algorithms were developed: (1) laboratory data, (2) medication data, (3) laboratory and medications data, (4) diabetes concept keywords and (5) diabetes free-text algorithm. Combined algorithms used or statements between the above algorithms. Algorithm performances were measured using chart review as a gold standard. We determined the best-performing algorithm as the one that showed the high performance of sensitivity (SN), and positive predictive value (PPV)., Results: The algorithms tested generally performed well: ICD-coded data, SN 0.84, specificity (SP) 0.98, PPV 0.93 and negative predictive value (NPV) 0.96; medication and laboratory algorithm, SN 0.90, SP 0.95, PPV 0.80 and NPV 0.97; all document types algorithm, SN 0.95, SP 0.98, PPV 0.94 and NPV 0.99., Discussion: Free-text data-based diabetes algorithm can yield comparable or superior performance to a commonly used ICD-coded algorithm and could supplement existing methods. These types of inpatient EMR-based algorithms for case identification may become a key method for timely resource planning and care delivery., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2023
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34. Hospitalization Rates for Inflammatory Bowel Disease Are Decreasing Over Time: A Population-based Cohort Study.

Author: Buie MJ, Coward S, Shaheen AA, Holroyd-Leduc J, Hracs L, Ma C, Panaccione R, Benchimol EI, Bernstein CN, Bitton A, Otley AR, Jones JL, Murthy SK, Ellen Kuenzig M, Peña-Sánchez JN, Targownik LE, Singh H, Avina-Zubieta A, and Kaplan GG
Subjects: Humans, Aged, 80 and over, Cohort Studies, Canada, Hospitalization, Delivery of Health Care, Inflammatory Bowel Diseases epidemiology, Inflammatory Bowel Diseases therapy, Colitis, Ulcerative epidemiology
Abstract: Background: Recent advances in the management of inflammatory bowel disease (IBD) striving for new treatment targets may have decreased rates of hospitalization for flares. We compared all-cause, IBD-related, and non-IBD-related hospitalizations while accounting for the rising prevalence of IBD., Methods: Population-based, administrative health care databases identified all individuals living with IBD in Alberta between fiscal year 2002 and 2018. Hospitalization rates (all-cause, IBD-related, and non-IBD-related) were calculated using the prevalent Alberta IBD population. Hospitalizations were stratified by disease type, age, sex, and metropolitan status. Data were age and sex standardized to the 2019 Canadian population. Log-linear models calculated Average Annual Percentage Change (AAPC) in hospitalization rates with associated 95% confidence intervals (CIs)., Results: From 2002-2003 to 2018-2019, all-cause hospitalization rates decreased from 36.57 to 16.72 per 100 IBD patients (AAPC, -4.18%; 95% CI, -4.69 to -3.66). Inflammatory bowel disease-related hospitalization rate decreased from 26.44 to 9.24 per 100 IBD patients (AAPC, -5.54%; 95% CI, -6.19 to -4.88). Non-IBD-related hospitalization rate decreased from 10.13 to 7.48 per 100 IBD patients (AAPC, -1.82%; 95% CI, -2.14 to -1.49). Those over 80 years old had the greatest all-cause and non-IBD-related hospitalization rates. Temporal trends showing decreasing hospitalization rates were observed across age, sex, IBD type, and metropolitan status., Conclusions: Hospitalization rates are decreasing for all-cause, IBD-related, and non-IBD-related hospitalizations. Over the past 20 years, the care of IBD has transitioned from hospital-based care to ambulatory-centric IBD management., (© 2023 Crohn’s & Colitis Foundation. Published by Oxford University Press on behalf of Crohn’s & Colitis Foundation.)
Published: 2023
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35. Global Hospitalization Trends for Crohn's Disease and Ulcerative Colitis in the 21st Century: A Systematic Review With Temporal Analyses.

Author: Buie MJ, Quan J, Windsor JW, Coward S, Hansen TM, King JA, Kotze PG, Gearry RB, Ng SC, Mak JWY, Abreu MT, Rubin DT, Bernstein CN, Banerjee R, Yamamoto-Furusho JK, Panaccione R, Seow CH, Ma C, Underwood FE, Ahuja V, Panaccione N, Shaheen AA, Holroyd-Leduc J, Kaplan GG, Balderramo D, Chong VH, Juliao-Baños F, Dutta U, Simadibrata M, Kaibullayeva J, Sun Y, Hilmi I, Raja Ali RA, Paudel MS, Altuwaijri M, Hartono JL, Wei SC, Limsrivilai J, El Ouali S, Vergara BI, Dao VH, Kelly P, Hodges P, Miao Y, and Li M
Subjects: Humans, Hospitalization, Asia epidemiology, Incidence, Colitis, Ulcerative epidemiology, Colitis, Ulcerative therapy, Crohn Disease epidemiology, Crohn Disease therapy, Inflammatory Bowel Diseases epidemiology
Abstract: Background & Aims: The evolving epidemiologic patterns of inflammatory bowel disease (IBD) throughout the world, in conjunction with advances in therapeutic treatments, may influence hospitalization rates of IBD. We performed a systematic review with temporal analysis of hospitalization rates for IBD across the world in the 21st century., Methods: We systematically reviewed Medline and Embase for population-based studies reporting hospitalization rates for IBD, Crohn's disease (CD), or ulcerative colitis (UC) in the 21st century. Log-linear models were used to calculate the average annual percentage change (AAPC) with associated 95% confidence intervals (95% CIs). Random-effects meta-analysis pooled country-level AAPCs. Data were stratified by the epidemiologic stage of a region: compounding prevalence (stage 3) in North America, Western Europe, and Oceania vs acceleration of incidence (stage 2) in Asia, Eastern Europe, and Latin America vs emergence (stage 1) in developing countries., Results: Hospitalization rates for a primary diagnosis of IBD were stable in countries in stage 3 (AAPC, -0.13%; 95% CI, -0.72 to 0.97), CD (AAPC, 0.20%; 95% CI, -1.78 to 2.17), and UC (AAPC, 0.02%; 95% CI, -0.91 to 0.94). In contrast, hospitalization rates for a primary diagnosis were increasing in countries in stage 2 for IBD (AAPC, 4.44%; 95% CI, 2.75 to 6.14), CD (AAPC, 8.34%; 95% CI, 4.38 to 12.29), and UC (AAPC, 3.90; 95% CI, 1.29 to 6.52). No population-based studies were available for developing regions in stage 1 (emergence)., Conclusions: Hospitalization rates for IBD are stabilizing in countries in stage 3, whereas newly industrialized countries in stage 2 have rapidly increasing hospitalization rates, contributing to an increasing burden on global health care systems., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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36. Epidemiology and outcomes of choledocholithiasis and cholangitis in the United States: trends and urban-rural variations.

Author: Li S, Guizzetti L, Ma C, Shaheen AA, Dixon E, Ball C, Wani S, and Forbes N
Subjects: Humans, United States epidemiology, Cholangiopancreatography, Endoscopic Retrograde adverse effects, Hospitalization, Rural Population, Retrospective Studies, Choledocholithiasis epidemiology, Cholangitis etiology
Abstract: Background: Gallstone disease poses a significant health burden in the United States. Choledocholithiasis and cholangitis are common complications of gallstone disease for which data on current epidemiological trends are lacking. We aimed to evaluate temporal changes in hospitalization, management, and outcomes for patients with choledocholithiasis and cholangitis., Methods: The National Inpatient Sample was used to identify discharges for choledocholithiasis and cholangitis between 2005 and 2014. Temporal trends were evaluated via annual percent changes (APCs). Joinpoint regression was used to assess inflection points. Multivariable regression models were used to evaluate associations of interest., Results: From 189,362 unweighted discharges for choledocholithiasis and/or cholangitis, there was an increase in discharges for choledocholithiasis (APC 2.3%, 95% confidence intervals, CI, 1.9-2.7%) and cholangitis (APC 1.5%, 95% CI 0.7-2.2%). Procedural interventions were more likely at urban hospitals for choledocholithiasis (adjusted odds ratio, aOR, 2.94, 95% CI 2.72 to 3.17) and cholangitis (aOR 2.97, 95% CI 2.50 to 3.54). In-hospital mortality significantly decreased annually for choledocholithiasis (aOR 0.90, 95% CI 0.88 to 0.93) and cholangitis (aOR 0.93, 95% CI 0.89 to 0.97). In-hospital mortality between rural and urban centers was comparable for choledocholithiasis (aOR 1.16, 95% CI 0.89 to 1.52) and cholangitis (aOR 1.12, 95% CI 0.72 to 1.72)., Conclusions: Hospitalizations for choledocholithiasis and cholangitis have increased between 2005 and 2014, reflecting a growing burden of gallstone disease. Hospital mortality between urban and rural centers is similar, however urban centers have a higher rate of procedural interventions suggesting limitations to accessing procedural interventions at rural centers., (© 2023. The Author(s).)
Published: 2023
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37. Epidemiology and Outcomes of Symptomatic Cholelithiasis and Cholecystitis in the USA: Trends and Urban-Rural Variations.

Author: Li S, Guizzetti L, Ma C, Shaheen AA, Dixon E, Ball C, Wani S, and Forbes N
Subjects: Humans, Hospitalization, Cholelithiasis epidemiology, Cholelithiasis surgery, Cholecystitis epidemiology, Cholecystitis surgery
Abstract: Background: Gallstone disease remains a major health issue. There have been significant changes in the management and demographics of patients with these conditions. We aimed to evaluate trends in hospitalization, management, and post-procedural adverse events for patients with gallstone disease., Methods: The National Inpatient Sample was used to identify discharges for symptomatic cholelithiasis and cholecystitis between 2005 and 2014. Temporal trends were evaluated by calculating annual percent changes (APCs). Joinpoint regression was used to assess inflection points. Multivariable regression models were used to evaluate associations between urban and rural divisions and mortality, use of interventional procedures, and post-procedural adverse events., Results: From 77,394,755 unweighted discharges, there was a decline in discharges for cholelithiasis (APC - 5.5%, 95% confidence intervals, CI, - 7.6 to - 3.4%) and cholecystitis from 2012 to 2014 (APC - 4.5%, 95% CI - 7.2 to - 1.7%). Interventions were more likely at urban hospitals for symptomatic cholelithiasis (odds ratio, OR, 1.49, 95% CI 1.24 to 1.66) and cholecystitis (OR 1.96, 95% CI 1.86 to 2.05). In-hospital mortality significantly decreased annually for patients with cholecystitis (OR 0.92, 95% CI 0.91 to 0.93). In-hospital mortality between rural and urban centers was comparable for symptomatic cholelithiasis (OR 1.27, 95% CI 0.79 to 2.03) and cholecystitis (OR 0.93, 95% CI 0.84 to 1.04)., Conclusions: Hospitalizations for gallstone disease have decreased since the 2010s. In-hospital mortality between urban and rural centers is similar, but urban hospitals utilize a higher rate of procedural interventions. Future studies should evaluate practice trends and costs across inpatient and ambulatory settings between rural and urban divisions., (© 2023. The Society for Surgery of the Alimentary Tract.)
Published: 2023
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38. Variation in Testing for and Incidence of Celiac Autoimmunity in Canada: A Population-Based Study.

Author: King JA, Bakal JA, Li B, Whitten TA, Gidrewicz D, Turner JM, van Zanten SV, Huynh HQ, Heitman SJ, Shaheen AA, Quan H, Godley J, Underwood FE, Hracs L, Bergman D, Ludvigsson JF, Lebwohl B, Benchimol EI, Williamson T, and Kaplan GG
Subjects: Humans, Female, Incidence, Transglutaminases, Cohort Studies, Immunoglobulin A, Autoantibodies, Canada, Autoimmunity, Celiac Disease diagnosis, Celiac Disease epidemiology
Abstract: Background & Aims: The incidence of biopsy-confirmed celiac disease has increased. However, few studies have explored the incidence of celiac autoimmunity based on positive serology results., Methods: A population-based cohort study assessed testing of tissue transglutaminase antibodies (tTG-IgA) in Alberta from 2012 to 2020. After excluding prevalent cases, incident celiac autoimmunity was defined as the first positive tTG-IgA result between 2015 and 2020. Testing and incidence rates for celiac autoimmunity were calculated per 1000 and 100,000 person-years, respectively. Incidence rate ratios (IRRs) were calculated to identify differences by demographic and regional factors. Average annual percent changes (AAPCs) assessed trends over time., Results: The testing rate of tTG-IgA was 20.2 per 1000 person-years and remained stable from 2012 to 2020 (AAPC, 1.2%; 95% confidence interval [CI], -0.5 to 2.9). Testing was higher in female patients (IRR, 1.66; 95% CI, 1.65-1.66), those living in metropolitan areas (IRR, 1.39; 95% CI, 1.38-1.40), and in areas of lower socioeconomic deprivation (lowest compared to highest IRR, 1.24; 95% CI, 1.23-1.25). Incidence of celiac autoimmunity was 33.8 per 100,000 person-years and increased from 2015 to 2020 (AAPC, 6.2%; 95% CI, 3.1-9.5). Among those with tTG-IgA results ≥10 times the upper limit of normal, the incidence was 12.9 per 100,000 person-years. The incidence of celiac autoimmunity was higher in metropolitan settings (IRR, 1.28; 95% CI, 1.21-1.35) and in the least socioeconomically deprived areas compared to the highest (IRR, 1.22; 95% CI, 1.14-1.32)., Conclusions: Incidence of celiac autoimmunity is high and increasing, despite stable testing rates. Variation in testing patterns may lead to underreporting the incidence of celiac autoimmunity in nonmetropolitan areas and more socioeconomically deprived neighborhoods., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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39. Role of long noncoding RNAs; BDNF-AS and 17A and their relation to GABAergic dysfunction in Egyptian epileptic patients.

Author: Zayed AA, Seleem MM, Darwish HA, and Shaheen AA
Subjects: Humans, Brain-Derived Neurotrophic Factor metabolism, Egypt, gamma-Aminobutyric Acid metabolism, Seizures, Glutamates, RNA, Long Noncoding genetics, Epilepsy metabolism, Epilepsies, Partial
Abstract: Epilepsy is a chronic neurological disorder characterized by recurrent unprovoked seizures. Lately, long noncoding RNAs (lncRNAs) have been increasingly appreciated as regulators of epilepsy-related processes, however, their functional role in its pathogenesis is still to be explored. This study investigated the expression levels of lncRNAs; BDNF-AS and 17A in the sera of Egyptian patients with idiopathic generalized and symptomatic focal epilepsy and correlated their levels with brain-derived neurotrophic factor (BDNF), phosphorylated cAMP reaction element -binding protein (p-CREB), gamma- aminobutyric acid (GABA) and glutamate, to underline their related molecular mechanism. A total of 70 epileptic patients were divided into two clinical types, besides 30 healthy controls of matched age and sex. The expression levels of both lncRNAs were markedly upregulated in epileptic groups versus the healthy control group with predominance in the symptomatic focal one. Epileptic patients showed significantly lower levels of BDNF, p-CREB, GABA along with significant increase of glutamate levels and glutamate/ GABA ratio, especially in symptomatic focal versus idiopathic generalized epileptic ones. The obtained data raised the possibility that these lncRNAs might be involved in the pathogenesis of epilepsy via inhibition of GABA/p-CREB/BDNF pathway. The study shed light on the putative role of these lncRNAs in better diagnosis of epilepsy, particularly symptomatic focal epilepsy., (© 2023. The Author(s).)
Published: 2023
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40. LncRNA NEAT1 and MALAT1 are involved in polycystic ovary syndrome pathogenesis by functioning as competing endogenous RNAs to control the expression of PCOS-related target genes.

Author: ElMonier AA, El-Boghdady NA, Fahim SA, Sabry D, Elsetohy KA, and Shaheen AA
Abstract: Accumulating evidence has shown an abnormal expression of several non-coding RNAs in ovarian tissues which might be closely linked with the pathogenesis of PCOS. The aim of this study was to identify competing endogenous (ce) RNA network: long non-coding RNA (lncRNA), microRNA (miRNA) and their target genes: androgen receptor (AR), follistatin (FST) and insulin receptor substrate-2 (IRS-2), which are relevant to PCOS, to underline the molecular pathogenesis of PCOS and assist in early diagnosis and treatment. Bioinformatic analysis was performed to retrieve a ceRNA network: [lncRNA (NEAT1 and MALAT1) - miRNA (miR-30a-5p and miR-30d-5p) - mRNA (AR, FST and IRS-2)] linked to PCOS. Expression of the selected RNAs was examined by qPCR in peripheral blood leukocytes obtained from 73 PCOS patients (41 obese and 32 non-obese) and 31 healthy controls. PCOS patients showed significantly higher expression levels of NEAT1, miR-30a-5p, AR, FST and IRS-2, with significantly lower expression levels of MALAT1 and miR-30d-5p relative to controls especially in obese versus non-obese patients. Receiver operating characteristic (ROC) curve analysis indicated that most of the selected RNAs could serve as potential early diagnostic markers for PCOS with the highest efficiency obtained upon combining NEAT1 and miR-30d-5p or MALAT1 and miR-30a-5p with either of PCOS target genes. Moreover, all addressed RNAs had been proved as potential predictors of PCOS. The obtained data of ceRNA network raised the possibility that NEAT1 overexpression may increase the expression levels of AR, FST and IRS-2 by sponging miR-30d-5p, while low expression of MALAT1 may allow higher expression of the above genes via increasing miR-30a-5p, suggesting their involvement in PCOS pathogenesis and promising role for future diagnosis and targeted therapy., Competing Interests: The authors have declared that no competing interests exist., (© 2023 The Authors.)
Published: 2023
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41. Impact of depression and antidepressant use on clinical outcomes of hepatitis B and C: a population-based study.

Author: Shaheen AA, Kaplan GG, Sharkey KA, Lethebe BC, and Swain MG
Subjects: Humans, Depression drug therapy, Depression epidemiology, Antidepressive Agents therapeutic use, Depressive Disorder, Major complications, Hepatitis B drug therapy, Hepatitis B epidemiology, Hepatitis, Viral, Human, Hepatitis C complications
Abstract: Background: Depression is common in patients with chronic viral hepatitis. We evaluated the impact of major depressive disorder (MDD) and antidepressant use on survival among patients with HBV and HCV., Methods: We used The Health Improvement Network database, the largest medical database in the UK, to identify incident HBV (n=1401) and HCV (n=1635) in patients between 1986 and 2017. Our primary composite outcome was the development of decompensated cirrhosis or death. MDD and each class of antidepressants were assessed in multivariate Cox proportional hazards models. Models were adjusted for age, sex, and clinical comorbidities., Results: The prevalence of MDD among HCV patients was higher compared with HBV patients (23.5% vs. 9.0%, p<0.001, respectively). Similarly, HCV patients were more likely to use antidepressants (59.6%) compared with HBV patients (27.1%), p>0.001. MDD was not an independent predictor for decompensated cirrhosis-free survival or mortality. However, the use of tricyclic and tetracyclic antidepressants (TCAs) was associated with poor decompensated cirrhosis-free survival in HBV and HCV cohorts (adjusted HR: 1.80, 95% CI, 1.00-3.26 and 1.56, 95% CI, 1.13-2.14, respectively). Both TCAs in the HBV cohort and selective serotonin reuptake inhibitors among the HCV cohort were associated with poor overall survival (adjusted HR: 2.18, 95% CI, 1.16-4.10; 1.48, 95% CI, 1.02-2.16, respectively)., Conclusions: Although prevalent among viral hepatitis patients, MDD did not affect disease progression or survival in either HBV or HCV cohorts. TCA use was associated with poor decompensated cirrhosis-free survival. Therefore, its use should be further studied among viral hepatitis patients., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases.)
Published: 2023
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42. Real-world tertiary referral centre experience stopping nucleos(t)ide analogue therapy in patients with chronic hepatitis B.

Author: Azhari H, Frolkis AD, Shaheen AA, Israelson H, Pinto J, Congly SE, Borman MA, Aspinall AA, Stinton LM, Nguyen HH, Swain MG, Burak KW, Lee SS, Sadler MD, and Coffin CS
Abstract: BACKGROUND: Identifying strategies for stopping nucleos(t)ide analogues (NUC) in patients with chronic hepatitis B (CHB) is a major goal in CHB management. Our study describes our tertiary-centre experience stopping nucleos(t)ide analogues (NUC) in CHB. METHODS: We conducted a retrospective cohort study of all individuals with CHB seen at the Calgary Liver Unit between January 2009 and May 2020 who stopped NUC. We collected baseline demographics and HBV lab parameters before and after stopping NUC with results stratified by off-treatment durability. Clinical flare was defined as alanine aminotransferase (ALT) over twice the upper limit of normal and virological flare as HBV DNA >2000 IU/mL. RESULTS: Forty-seven (3.5%) of the 1337 individuals with CHB stopped NUC therapy. During follow-up, six patients (12.8%) restarted NUCs because of a flare. All flares occurred within six months of discontinuation. Median time to restart treatment was 90 days (Q1 65, Q3 133). Upon restarting, all showed suppression of HBV DNA and ALT normalization. Factors associated with restarting NUC therapy included hepatitis B e antigen (HBeAg) positive status at first appointment and longer NUC consolidation therapy. Age, sex, ethnicity, liver stiffness measurement, choice of NUC, and quantitative hepatitis B surface antigen (qHBsAg) level at stopping were not associated with sustained response off-treatment. Six patients had functional cure with HBsAg loss. CONCLUSIONS: Stopping long-term NUC is feasible in HBeAg negative CHB. Hepatic flares can occur despite low levels of qHBsAg. Finite NUC therapy can be considered in eligible patients who are adherent to close monitoring and follow-up, particularly in the first six months after stopping NUC therapy., (Copyright © 2022 Canadian Association for the Study of the Liver.)
Published: 2022
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43. Race and Ethnicity in Non-Alcoholic Fatty Liver Disease (NAFLD): A Narrative Review.

Author: Riazi K, Swain MG, Congly SE, Kaplan GG, and Shaheen AA
Subjects: Humans, Ethnicity, Prevalence, Diet, Incidence, Risk Factors, Non-alcoholic Fatty Liver Disease metabolism
Abstract: Non-alcoholic fatty liver disease (NAFLD) is a significant public health concern worldwide with a complex etiology attributed to behavioural, environmental, and genetic causes. The worldwide prevalence of NAFLD is estimated to be 32.4% and constantly rising. Global data, however, indicate considerable heterogeneity among studies for both NAFLD prevalence and incidence. Identifying variables that affect the estimated epidemiological measures is essential to all stakeholders, including patients, researchers, healthcare providers, and policymakers. Besides helping with the research on disease etiology, it helps to identify individuals at risk of the disease, which in turn will outline the focus of the preventive measures and help to fittingly tailor individualized treatments, targeted prevention, screening, or treatment programs. Several studies suggest differences in the prevalence and severity of NAFLD by race or ethnicity, which may be linked to differences in lifestyle, diet, metabolic comorbidity profile, and genetic background, among others. Race/ethnicity research is essential as it can provide valuable information regarding biological and genetic differences among people with similar cultural, dietary, and geographical backgrounds. In this review, we examined the existing literature on race/ethnicity differences in susceptibility to NAFLD and discussed the contributing variables to such differences, including diet and physical activity, the comorbidity profile, and genetic susceptibility. We also reviewed the limitations of race/ethnicity studies in NAFLD.
Published: 2022
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44. Ameliorating effect of ketogenic diet on acute status epilepticus: Insights into biochemical and histological changes in rat hippocampus.

Author: Shehata NI, Abdelsamad MA, Amin HAA, Sadik NAH, and Shaheen AA
Subjects: Animals, Female, Hippocampus, Pilocarpine adverse effects, Rats, Diet, Ketogenic, Epilepsy chemically induced, Status Epilepticus chemically induced, Status Epilepticus drug therapy
Abstract: This study aimed to evaluate the potential neuroprotective effects of ketogenic diet (KD) against the neuronal disruptions induced by SE in lithium-pilocarpine rat model of status epilepticus (SE). Four groups of female rats include; groups I and III received standard diet and groups II and IV received KD for 3 weeks. Groups I and II were left untreated, while groups III and IV were injected with LiCl (127 mg/kg, i.p.) followed by pilocarpine HCl (10 mg/kg, i.p.) 18-24 h later, repeatedly, till induction of SE. 72 h post-SE, KD effectively ameliorated the balance between excitatory (glutamate) and inhibitory (GABA) neurotransmitters and the oxidative stress indices, increased adenine nucleotides and decreased immunoreactivity of iNOS, TNFα, glial fibrillary acidic protein, and synaptophysin. Thiswas in association with improvement in inflammatory response and neuronal tissue characteristics in hippocampus of SE rats. Histological changes showed preservation of neuronal integrity. These findings highlight the protective effects of KD in the acute phase post-SE via ameliorating biochemical and histological changes involved. PRACTICAL APPLICATIONS: Epilepsy is the fourth most common neurological disorder that requires lifelong treatment. It stigmatizes patients and their families. The use of the ketogenic diet (KD) as a therapy for epilepsy developed from observations that fasting could reduce seizures. From 1920s, the KD was a common epilepsy treatment until it was gradually superseded by anticonvulsant drugs so that by the 1980s it was rarely used. However, there has been a resurgence of interest and usage of the KD for epilepsy since the turn of the century. Despite its long history, the mechanisms by which KD exhibits its anti-seizure action are not fully understood. Our study aims to identify the mechanism of KD which may help further studies to achieve the same benefits with a drug or supplement to overcome its unpalatability and gastrointestinal side effects., (© 2022 Wiley Periodicals LLC.)
Published: 2022
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45. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis.

Author: Riazi K, Azhari H, Charette JH, Underwood FE, King JA, Afshar EE, Swain MG, Congly SE, Kaplan GG, and Shaheen AA
Subjects: Adult, Canada, Child, Cross-Sectional Studies, Female, Humans, Incidence, Male, Prevalence, Non-alcoholic Fatty Liver Disease diagnosis, Non-alcoholic Fatty Liver Disease epidemiology
Abstract: Background: Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide and the leading cause of liver-related morbidity and mortality. We aimed to predict the burden of NAFLD by examining and estimating the temporal trends of its worldwide prevalence and incidence., Methods: In this systematic review and meta-analysis, we searched MEDLINE, EMBASE, Scopus, and Web of Science without language restrictions for reports published between date of database inception and May 25, 2021. We included observational cross-sectional or longitudinal studies done in study populations representative of the general adult population, in whom NAFLD was diagnosed using an imaging method in the absence of excessive alcohol consumption and viral hepatitis. Studies were excluded if conducted in paediatric populations (aged <18 years) or subgroups of the general population. Summary estimates were extracted from included reports by KR and independently verified by HA using the population, intervention, comparison, and outcomes framework. Primary outcomes were the prevalence and incidence of NAFLD. A random-effects meta-analysis was used to calculate overall and sex-specific pooled effect estimates and 95% CIs., Findings: The search identified 28 557 records, of which 13 577 records were screened; 299 records were also identified via other methods. In total, 72 publications with a sample population of 1 030 160 individuals from 17 countries were included in the prevalence analysis, and 16 publications with a sample population of 381 765 individuals from five countries were included in the incidence analysis. The overall prevalence of NAFLD worldwide was estimated to be 32·4% (95% CI 29·9-34·9). Prevalence increased significantly over time, from 25·5% (20·1-31·0) in or before 2005 to 37·8% (32·4-43·3) in 2016 or later (p=0·013). Overall prevalence of NAFLD was significantly higher in men than in women (39·7% [36·6-42·8] vs 25·6% [22·3-28·8]; p<0·0001). The overall incidence of NAFLD was estimated to be 46·9 cases per 1000 person-years (36·4-57·5); 70·8 cases per 1000 person-years (48·7-92·8) in men and 29·6 cases per 1000 person-years (20·2-38·9) in women (p<0·0001). There was considerable heterogeneity between studies of both NAFLD prevalence (I 2 =99·9%) and NAFLD incidence (I 2 =99·9%)., Interpretation: Worldwide prevalence of NAFLD is considerably higher than previously estimated and is continuing to increase at an alarming rate. Incidence and prevalence of NAFLD are significantly higher among men than among women. Greater awareness of NAFLD and the development of cost-effective risk stratification strategies are warranted to address the growing burden of NAFLD., Funding: Canadian Institutes of Health., Competing Interests: Declaration of interests MGS declares receiving research grants from Gilead, Intercept, CymaBay, Genkyotex, GlaxoSmithKline, Genfit, Novartis, Pfizer, Galectin Therapeutics, Celgene, Astra Zeneca, Novo Nordisk, and AbbVie; and honoraria from Abbott, Gilead Roche, Intercept, Gilead, Abbott, and Novo Nordisk. SEC declares receiving research grants from Gilead, Boehringer Ingelheim, Genfit, Allergan, and Axcella Health; and honoraria from Interceot and AstraZeneca. A-AS declares receiving research grants from Gilead and Intercept; and honoraria from SCOPE Canada. All other authors declare no competing interests., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
Published: 2022
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46. Tenofovir disoproxil fumarate therapy to prevent hepatitis B virus vertical transmission-A review of maternal and infant outcomes.

Author: Samadi Kochaksaraei G, Shaheen AA, Seow CH, Barkema HW, and Coffin CS
Subjects: Antiviral Agents adverse effects, DNA, Viral, Female, Hepatitis B Surface Antigens, Hepatitis B virus genetics, Humans, Infant, Infectious Disease Transmission, Vertical prevention & control, Pregnancy, Tenofovir therapeutic use, Viral Load, Hepatitis B drug therapy, Hepatitis B prevention & control, Pregnancy Complications, Infectious
Abstract: Hepatitis B virus (HBV) is a global health problem. Vertical transmission of HBV from HBV surface antigen (HBsAg)-positive mothers to their infants is the most common cause of HBV infection worldwide. The use of passive-active immunoprophylaxis is >90% effective in reducing the risk of vertical transmission, but immunoprophylaxis failure can occur in infants born to mothers with high viraemia. Thus, it is recommended that pregnant women with HBV-DNA level >200 000 IU/ml receive nucleos(t)ide analogue (NA) treatment [i.e. tenofovir disoproxil fumarate (TDF), lamivudine or telbivudine] during third trimester to prevent infant immunoprophylaxis failure. TDF is recommended as the first-line therapy based on available data on efficacy, safety and resistance profile. However, maternal immunological reconstitution following parturition can increase immune-mediated flares to viral antigens that is potentially exacerbated following TDF withdrawal. In this article, we review available data on the efficacy and safety of TDF administration to prevent HBV mother-to-child transmission. We also discuss changes in maternal viral markers [i.e. HBV-DNA, HBV e antigen and HBsAg] and alanine aminotransferase during follow-up post-partum in mothers received NA to prevent HBV vertical transmission., (© 2022 John Wiley & Sons A/S . Published by John Wiley & Sons Ltd.)
Published: 2022
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47. Impact of the COVID-19 Pandemic on Hospitalizations for Alcoholic Hepatitis or Cirrhosis in Alberta, Canada.

Author: Shaheen AA, Kong K, Ma C, Doktorchik C, Coffin CS, Swain MG, Burak KW, Congly SE, Lee SS, Sadler M, Borman M, and Abraldes JG
Subjects: Alberta epidemiology, Communicable Disease Control, Hospitalization, Humans, Liver Cirrhosis epidemiology, Liver Cirrhosis, Alcoholic epidemiology, Pandemics, COVID-19 epidemiology, Hepatitis, Alcoholic epidemiology
Abstract: Background & Aims: Coronavirus disease 2019 (COVID-19) pandemic lockdown and restrictions had significant disruption to patient care. We aimed to evaluate the impact of COVID-19 restrictions on hospitalizations of patients with alcoholic and nonalcoholic cirrhosis as well as alcoholic hepatitis (AH) in Alberta, Canada., Methods: We used validated International Classification of Diseases (ICD-9 and ICD-10) coding algorithms to identify liver-related hospitalizations for nonalcoholic cirrhosis, alcoholic cirrhosis, and AH in the province of Alberta between March 2018 and September 2020. We used the provincial inpatient discharge and laboratory databases to identify our cohorts. We used elevated alanine aminotransferase or aspartate aminotransferase, elevated international normalized ratio, or bilirubin to identify AH patients. We compared COVID-19 restrictions (April-September 2020) with prior study periods. Joinpoint regression was used to evaluate the temporal trends among the 3 cohorts., Results: We identified 2916 hospitalizations for nonalcoholic cirrhosis, 2318 hospitalizations for alcoholic cirrhosis, and 1408 AH hospitalizations during our study time. The in-hospital mortality rate was stable in relation to the pandemic for alcoholic cirrhosis and AH. However, nonalcoholic cirrhosis patients had lower in-hospital mortality rate after March 2020 (8.5% vs 11.5%; P = .033). There was a significant increase in average monthly admissions in the AH cohort (22.1/10,000 admissions during the pandemic vs 11.6/10,000 admissions before March 2020; P < .001)., Conclusions: Before and during COVID-19 monthly admission rates were stable for nonalcoholic and alcoholic cirrhosis; however, there was a significant increase in AH admissions. Because alcohol sales surged during the pandemic, future impact on alcoholic liver disease could be detrimental., (Copyright © 2022 AGA Institute. Published by Elsevier Inc. All rights reserved.)
Published: 2022
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48. Yoga in Patients With Inflammatory Bowel Disease: A Narrative Review.

Author: Kaur S, D'Silva A, Shaheen AA, and Raman M
Abstract: Despite advancements in the treatment of inflammatory bowel disease (IBD), the global prevalence of IBD is increasing. Patients with IBD often experience a high psychosocial burden, worsening their IBD symptoms and increasing relapse, hospitalization rates, and healthcare costs, which impairs their quality of life (QoL). Evidence suggests that mind-body intervention in many chronic illnesses is effective in improving symptoms and QoL. Yoga is the most frequently used mind-body practice globally. Meta-analyses of randomized clinical trials and prospective studies have highlighted that yoga improves symptoms and QoL of patients with IBD; however, recommendations about indications for yoga as well as dose and frequency of yoga are lacking. The present narrative review aims to describe the available evidence regarding the effects of yoga on common patient-reported outcome measures in IBD, including depression, anxiety, stress, and QoL. Physicians can hence promote yoga interventions in their discussions with patients to help control these IBD-related outcome measures., (© The Author(s) 2022. Published by Oxford University Press on behalf of Crohn's & Colitis Foundation.)
Published: 2022
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49. Global Incidence of Acute Pancreatitis Is Increasing Over Time: A Systematic Review and Meta-Analysis.

Author: Iannuzzi JP, King JA, Leong JH, Quan J, Windsor JW, Tanyingoh D, Coward S, Forbes N, Heitman SJ, Shaheen AA, Swain M, Buie M, Underwood FE, and Kaplan GG
Subjects: Acute Disease, Female, Humans, Incidence, Male, Pancreatitis diagnosis, Sex Distribution, Time Factors, Global Health trends, Pancreatitis epidemiology
Abstract: Background & Aims: Acute pancreatitis is a common disease with significant associated morbidity and mortality. We performed a systematic review and meta-analysis of population-based studies to explore the changing temporal trends of acute pancreatitis incidence globally., Methods: We performed a systematic literature search to identify population-based studies reporting the annual incidence of acute pancreatitis. Abstracts were assessed independently to identify applicable articles for full-text review and data extraction. Joinpoint temporal trend analyses were performed to calculate the average annual percent change (AAPC) with 95% confidence intervals (CIs). The AAPCs were pooled in a meta-analysis to capture the overall and regional trends in acute pancreatitis incidence over time. Temporal data were summarized in a static map and an interactive, web-based map., Results: Forty-four studies reported the temporal incidence of acute pancreatitis (online interactive map: https://kaplan-acute-pancreatitis-ucalgary.hub.arcgis.com/). The incidence of acute pancreatitis has increased from 1961 to 2016 (AAPC, 3.07%; 95% CI, 2.30% to 3.84%; n = 34). Increasing incidence was observed in North America (AAPC, 3.67%; 95% CI, 2.76% to 4.57%; n = 4) and Europe (AAPC, 2.77%; 95% CI, 1.91% to 3.63%; n = 23). The incidence of acute pancreatitis was stable in Asia (AAPC, -0.28%; 95% CI, -5.03% to 4.47%; n = 4)., Conclusions: This meta-analysis provides a comprehensive overview of the global incidence of acute pancreatitis over the last 56 years and demonstrates a steadily rising incidence over time in most countries of the Western world. More studies are needed to better define the changing incidence of acute pancreatitis in Asia, Africa, and Latin America., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2022
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50. Novel Case Report: A Previously Reported, but Pathophysiologically Unexplained, Association Between Collagenous Colitis and Protein-Losing Enteropathy May Be Explained by an Undetected Link with Collagenous Duodenitis.

Author: Gill I, Shaheen AA, Edhi AI, Amin M, Rana K, and Cappell MS
Subjects: Aged, COVID-19 diagnosis, COVID-19 physiopathology, Colitis, Collagenous diagnosis, Colitis, Collagenous physiopathology, Colitis, Collagenous therapy, Duodenitis diagnosis, Duodenitis physiopathology, Duodenitis therapy, Duodenum metabolism, Female, Fluid Therapy, Glucocorticoids therapeutic use, Humans, Intestinal Mucosa metabolism, Nutritional Status, Parenteral Nutrition, Total, Protein-Losing Enteropathies diagnosis, Protein-Losing Enteropathies physiopathology, Protein-Losing Enteropathies therapy, Risk Factors, Treatment Outcome, COVID-19 Drug Treatment, Amino Acids metabolism, COVID-19 etiology, Colitis, Collagenous complications, Duodenitis complications, Duodenum physiopathology, Intestinal Absorption, Intestinal Mucosa physiopathology, Protein-Losing Enteropathies etiology
Abstract: Collagenous colitis (CC) is associated with non-bloody, watery diarrhea, which is pathophysiologically reasonable because normal colonic absorption (or excretion) of water and electrolytes can be blocked by the abnormally thick collagen layer in CC. However, CC has also been associated with six previous cases of protein-losing enteropathy (PLE), with no pathophysiologic explanation. The colon does not normally absorb (or excrete) amino acids/proteins, which is primarily the function of the small bowel. Collagenous duodenitis (CD) has not been associated with PLE. This work reports a novel case of CD (and CC) associated with PLE; a pathophysiologically reasonable mechanism for CD causing PLE (by the thick collagen layer of CD blocking normal intestinal amino acid absorption); and a novel association of PLE with severe COVID-19 infection (attributed to relative immunosuppression from hypoproteinemia, hypoalbuminemia, hypogammaglobulinemia, and malnutrition from PLE)., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.)
Published: 2021
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