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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, Abbasi-Kangevari, M, Abd ElHafeez, S, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abedi, A, Abegaz, TM, Abeldaño Zuñiga, RA, Abiodun, O, Abiso, TL, Aboagye, RG, Abolhassani, H, Abouzid, M, Aboye, GB, Abreu, LG, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abukhadijah, HJJ, Aburuz, S, Abu-Zaid, A, Adane, MM, Addo, IY, Addolorato, G, Adedoyin, RA, Adekanmbi, V, Aden, B, Adetunji, JB, Adeyeoluwa, TE, Adha, R, Adibi, A, Adnani, QES, Adzigbli, LA, Afolabi, AA, Afolabi, RF, Afshin, A, Afyouni, S, Afzal, MS, Afzal, S, Agampodi, SB, Agbozo, F, Aghamiri, S, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, N, Ahmad, S, Ahmad, T, Ahmed, A, Ahmed, LA, Ahmed, MB, Ahmed, S, Ahmed, SA, Ajami, M, Akalu, GT, Akara, EM, Akbarialiabad, H, Akhlaghi, S, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akkala, S, Akombi-Inyang, B, Al Awaidy, S, Al Hasan, SM, Alahdab, F, AL-Ahdal, TMA, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, N, Alanezi, FM, Alanzi, TM, Albakri, A, AlBataineh, MT, Aldhaleei, WA, Aldridge, RW, Alemayohu, MA, Alemu, YM, Al-Fatly, B, Al-Gheethi, AAS, Al-Habbal, K, Alhabib, KF, Alhassan, RK, Ali, A, Ali, BA, Ali, I, Ali, L, Ali, MU, Ali, R, Ali, SSS, Ali, W, Alicandro, G, Alif, SM, Aljunid, SM, Alla, F, Al-Marwani, S, Al-Mekhlafi, HM, Almustanyir, S, Alomari, MA, Alonso, J, Alqahtani, JS, Alqutaibi, AY, Al-Raddadi, RM, Alrawashdeh, A, Al-Rifai, RH, Alrousan, SM, Al-Sabah, SK, Alshahrani, NZ, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, H, Aly, S, Alzoubi, KH, Al-Zyoud, W, Amaechi, UA, Aman Mohammadi, M, Amani, R, Amiri, S, Amirzade-Iranaq, MH, Ammirati, E, Amu, H, Amugsi, DA, Amusa, GA, Ancuceanu, R, Anderlini, D, Anderson, JA, Andrade, PP, Andrei, CL, Andrei, T, Anenberg, SC, Angappan, D, Angus, C, Anil, A, Anil, S, Anjum, A, Anoushiravani, A, Antonazzo, IC, Antony, CM, Antriyandarti, E, Anuoluwa, BS, Anvari, D, Anvari, S, Anwar, S, Anwar, SL, Anwer, R, Anyabolo, EE, Anyasodor, AE, Apostol, GLC, Arabloo, J, Arabzadeh Bahri, R, Arafat, M, Areda, D, Aregawi, BB, Aremu, A, Armocida, B, Arndt, MB, Ärnlöv, J, Arooj, M, Artamonov, AA, Artanti, KD, Aruleba, IT, Arumugam, A, Asbeutah, AM, Asgary, S, Asgedom, AA, Ashbaugh, C, Ashemo, MY, Ashraf, T, Askarinejad, A, Assmus, M, Astell-Burt, T, Athar, M, Athari, SS, Atorkey, P, Atreya, A, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awoke, AA, Ayala Quintanilla, BP, Ayatollahi, H, Ayestas Portugal, C, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Azhar, GS, Azizi, H, Azzam, AY, Backhaus, IL, Badar, M, Badiye, AD, Bagga, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahrami Taghanaki, P, Bai, R, Baig, AA, Baker, JL, Bakkannavar, SM, Balasubramanian, M, Baltatu, OC, Bam, K, Bandyopadhyay, S, Banik, B, Banik, PC, Banke-Thomas, A, Bansal, H, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Barteit, S, Basharat, Z, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Batchu, S, Batra, K, Batra, R, Baune, BT, Bayati, M, Bayileyegn, NS, Beaney, T, Behnoush, AH, Beiranvand, M, Béjot, Y, Bekele, A, Belgaumi, UI, Bell, AW, Bell, ML, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bendak, S, Bennett, DA, Bennitt, FB, Bensenor, IM, Benzian, H, Beran, A, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhat, AN, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhuiyan, MA, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Biswas, A, Biswas, B, Biswas, RK, Bjørge, T, Boachie, MK, Boakye, H, Bockarie, MJ, Bodolica, V, Bodunrin, AO, Bogale, EK, Bolla, SR, Boloor, A, Bonakdar Hashemi, M, Boppana, SH, Bora Basara, B, Borhany, H, Botero Carvajal, A, Bouaoud, S, Boufous, S, Bourne, R, Boxe, C, Braithwaite, D, Brant, LC, Brar, A, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Britton, G, Brown, CS, Browne, AJ, Brunoni, AR, Bryazka, D, Bulamu, NB, Bulto, LN, Buonsenso, D, Burkart, K, Burns, RA, Busse, 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, Cao, C, Cao, F, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Carvalho, F, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Caye, A, Cederroth, CR, Cegolon, L, Cenderadewi, M, Cercy, KM, Cerin, E, Chadwick, J, Chakraborty, C, Chakraborty, PA, Chakraborty, S, Chan, JSK, Chan, RNC, Chandan, JS, Chandika, RM, Chaturvedi, P, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Chen, M, Chen, S, Cheng, C-Y, Cheng, ETW, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Chopra, H, Chowdhury, R, Christopher, DJ, Chu, D-T, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cioffi, I, Cogen, RM, Cohen, AJ, Columbus, A, Conde, J, Corlateanu, A, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Criqui, MH, Cruz, JA, Cruz-Martins, N, Culbreth, GT, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Daikwo, PU, Dalli, LL, Damiani, G, D'Amico, E, D'Anna, L, Darwesh, AM, Das, JK, Das, S, Dash, NR, Dashti, M, Dávila-Cervantes, CA, Davis Weaver, N, Davitoiu, DV, De la Hoz, FP, 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, Dervišević, E, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhane, AS, Dhimal, ML, Dhimal, M, Dhingra, S, Dhulipala, VR, Dhungana, RR, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Dinu, M, Djalalinia, S, Do, TC, Do, THP, do Prado, CB, Dodangeh, M, Dohare, S, Dokova, KG, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, ER, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, AC, Dsouza, HL, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Dushpanova, A, Dzianach, PA, Dziedzic, AM, Ebrahimi, A, Echieh, CP, Ed-Dra, A, Edinur, HA, Edvardsson, D, Edvardsson, K, Efendi, F, Eftekharimehrabad, A, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Arab, RA, El Sayed Zaki, M, El-Dahiyat, F, Elemam, NM, Elgar, FJ, ElGohary, GMT, Elhabashy, HR, Elhadi, M, Elmehrath, AO, Elmeligy, OAA, Elshaer, M, Elsohaby, I, Emeto, TI, Esfandiari, N, Eshrati, B, Eslami, M, Esmaeili, SV, Estep, K, Etaee, F, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Fahimi, S, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasina, FO, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrara, P, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Fitriana, I, Flavel, J, Flohr, C, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Foschi, M, Franklin, RC, Freitas, A, Friedman, SD, Fux, B, G, S, Gaal, PA, Gaihre, S, Gajdács, M, Galali, Y, Gallus, S, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia, V, Gardner, WM, Garg, RK, Gautam, RK, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremariam, TBB, Gebremeskel, TG, Gerema, U, Getacher, L, Getahun, GKA, Getie, M, Ghadirian, F, Ghafarian, S, Ghaffari Jolfayi, A, Ghailan, KY, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghassemi, F, Ghazy, RM, Gholami, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Gil, AU, Gil, GF, Gilbertson, NM, Gill, PS, Gill, TK, Gindaba, EZ, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Godinho, MA, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Gomes, NGM, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Gouravani, M, Goyal, A, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Guha, A, Guicciardi, S, Gulati, S, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, B, Gupta, M, Gupta, R, Gupta, RD, Gupta, S, Gupta, VB, Gupta, VK, Habibzadeh, F, Habibzadeh, P, Hadaro, TS, Hadian, Z, Haep, N, Haghi-Aminjan, H, Haghmorad, D, Hagins, H, Haile, D, Hailu, A, Hajj Ali, A, Halboub, ES, Halimi, A, Hall, BJ, Haller, S, Halwani, R, Hamadeh, RR, Hamdy, NM, Hameed, S, Hamidi, S, Hammoud, A, Hanif, A, Hanifi, N, Haq, ZA, Haque, MR, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MJ, Hasan, SMM, Hasani, H, Hasanian, M, Hashmeh, N, Hasnain, MS, Hassan, A, Hassan, I, Hassan Zadeh Tabatabaei, MS, Hassani, S, Hassanipour, S, Hassankhani, H, Haubold, J, Havmoeller, RJ, Hay, SI, Hebert, JJ, Hegazi, OE, Hegena, TY, Heidari, G, Heidari, M, Helfer, B, Hemmati, M, Henson, CA, Herbert, ME, Herteliu, C, Heuer, A, Hezam, K, Hinneh, TK, Hiraike, Y, Hoan, NQ, Holla, R, Hon, J, Hoque, ME, Horita, N, Hossain, S, Hosseini, SE, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hoven, H, Hsairi, M, Hsu, JM, Hu, C, Huang, J, Huda, MN, Hulland, EN, Hultström, M, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Ibitoye, SE, Idowu, OO, Ihler, AL, Ikeda, N, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inbaraj, LR, Irham, LM, Isa, MA, Islam, MR, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iwu-Jaja, CJ, J, V, Jaafari, J, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Jaiswal, A, Jakovljevic, M, Jalilzadeh Yengejeh, R, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jeganathan, J, Jeswani, BM, Jiang, H, Johnson, CO, Jokar, M, Jomehzadeh, N, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshi, V, Joshua, CE, Jozwiak, JJ, Jürisson, M, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kahn, EM, Kalani, R, Kaliyadan, F, Kalra, S, Kamath, R, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmiki, EW, Kanmodi, KK, Kansal, SK, Kapner, DJ, Kapoor, N, Karagiannidis, E, Karajizadeh, M, Karakasis, P, Karanth, SD, Karaye, IM, Karch, A, Karim, A, Karimi, H, Karmakar, S, Kashoo, FZ, Kasraei, H, Kassahun, WD, Kassebaum, NJ, Kassel, MB, Katikireddi, SV, Kauppila, JH, Kawakami, N, Kaydi, N, Kayode, GA, Kazemi, F, Keiyoro, PN, Kemmer, L, Kempen, JH, Kerr, JA, Kesse-Guyot, E, Khader, YS, Khafaie, MA, Khajuria, H, Khalaji, A, Khalil, M, Khalilian, A, Khamesipour, F, Khan, A, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Khosla, AA, Khosrowjerdi, M, Khreis, H, Khusun, H, Kifle, ZD, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Koh, DSQ, Kolahi, A-A, Kompani, F, Kong, J, Koren, G, Korja, M, Korshunov, VA, Korzh, O, Kosen, S, Kothari, N, Koul, PA, Koulmane Laxminarayana, SL, Krishan, K, Krishnamoorthy, V, Krishnamoorthy, Y, Krishnan, B, Krohn, KJ, Kuate Defo, B, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kugbey, N, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, N, Kumar, V, Kundu, S, Kurmi, OP, Kusnali, A, Kusuma, D, Kutluk, T, La Vecchia, C, Ladan, MA, Laflamme, L, Lahariya, C, Lai, DTC, Lal, DK, Lallukka, T, Lám, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Le, H-H, Le, LKD, Le, NHH, Le, TTT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, SW, Lee, SWH, Lee, YH, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Lescinsky, H, Leung, J, Li, M-C, Li, W-Z, Li, W, Li, Y, Li, Z, Ligade, VS, Lim, L-L, Lim, SS, Lin, R-T, Lin, S, Liu, C, Liu, G, Liu, J, Liu, RT, Liu, S, Liu, W, Liu, X, Livingstone, KM, Llanaj, E, Lohiya, A, López-Bueno, R, Lopukhov, PD, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, lv, H, M Amin, HI, Ma, ZF, Maass, KL, Mabrok, M, Machairas, N, Machoy, M, Mafhoumi, A, Magdy Abd El Razek, M, Maghazachi, AA, Mahadeshwara Prasad, DR, Maharaj, SB, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makram, OM, Makris, KC, Malasala, S, Maled, V, Malhotra, K, Malik, AA, Malik, I, Malinga, LA, Malta, DC, Mamun, AA, Manda, AL, Manla, Y, Mansour, A, Mansouri, B, Mansouri, P, Mansourian, M, Mansournia, MA, Mantovani, LG, Manu, E, Marateb, HR, Maravilla, JC, Marsh, E, Martinez, G, Martinez-Piedra, R, Martini, S, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Mathangasinghe, Y, Mathioudakis, AG, Matozinhos, FP, Mattumpuram, J, Maugeri, A, Maulik, PK, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, M, McKowen, ALW, McLaughlin, SA, McPhail, MA, McPhail, SM, Mechili, EA, Mehmood, A, Mehmood, K, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Meier, T, Mejia-Rodriguez, F, Mekene Meto, T, Mekonnen, BD, Menezes, RG, Mengist, B, Mensah, GA, Mensah, LG, Mentis, A-FA, Meo, SA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mesfin, BA, Mestrovic, T, Mettananda, KCD, Mettananda, S, Miazgowski, T, Micha, G, Michalek, IM, Micheletti Gomide Nogueira de Sá, AC, Miller, TR, Mirarefin, M, Mirghafourvand, M, Mirica, A, Mirijello, A, Mirrakhimov, EM, Mirshahi, A, Mirzaei, M, Mishra, AK, Mishra, V, Mitchell, PB, Mithra, P, Mittal, C, Moazen, B, Moberg, ME, Mocciaro, G, Mohamadkhani, A, Mohamed, AZ, Mohamed, AI, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammadi, E, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, AH, Monasta, L, Mondello, S, Moni, MA, Moodi Ghalibaf, A, Moore, CE, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosaddeghi Heris, R, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Msherghi, A, Mubarik, S, Muccioli, L, Mueller, UO, Mulita, F, Mullany, EC, Munjal, K, Murillo-Zamora, E, Murlimanju, BV, Musina, A-M, Mustafa, G, Muthu, S, Muthupandian, S, Muthusamy, R, Muzaffar, M, Myung, W, Nafei, A, Nagarajan, AJ, Nagaraju, SP, Nagel, G, Naghavi, M, Naghavi, P, Naik, GR, Naik, G, Nainu, F, Nair, TS, Najdaghi, S, Nakhostin Ansari, N, Nanavaty, DP, Nangia, V, Narasimha Swamy, S, Narimani Davani, D, Nascimento, BR, Nascimento, GG, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nayak, BP, Nayak, VC, Ndejjo, R, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, MH, Nepal, S, Neupane, S, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, DH, Nguyen, NNY, Nguyen, PT, Nguyen, VT, Nguyen Tran Minh, D, Niazi, RK, Nicholson, SI, Nie, J, Nikoobar, A, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Noman, EA, Nomura, S, Noroozi, N, Norrving, B, Noubiap, JJ, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nunemo, MH, Nurrika, D, Nutor, JJ, Oancea, B, O'Connell, EM, Odetokun, IA, O'Donnell, MJ, Oduro, MS, Ogunfowokan, AA, Ogunkoya, A, Oh, I-H, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, AB, Oliveira, GMM, Olorukooba, AA, Olufadewa, II, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omar Bali, A, Omer, GL, Ong, KL, Ong, S, Onwujekwe, OE, Onyedibe, KI, Oppong, AF, Ordak, M, Orish, VN, Ornello, R, Orpana, HM, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, IT, Oyeyemi, OT, P A, MP, Pacheco-Barrios, K, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Pana, A, Panda, SK, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pantazopoulos, I, Pantea Stoian, AM, Papadopoulou, P, Parent, MC, Parija, PP, Parikh, RR, Park, S, Parsons, N, Pashaei, A, Pasovic, M, Passera, R, Patil, S, Patoulias, D, Patthipati, VS, Paudel, U, Pawar, S, Pazoki Toroudi, H, Peden, AE, Pedersini, P, Peng, M, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Peres, MFP, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petcu, I-R, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pickering, BV, Pierannunzio, D, Pigeolet, M, Pigott, DM, Piracha, ZZ, Piradov, MA, 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YF, Wiangkham, T, Wickramasinghe, ND, Wilkerson, C, Willeit, P, Wilson, S, Wong, YJ, Wongsin, U, Wozniak, S, Wu, C, Wu, D, Wu, F, Wu, Z, Xia, J, Xiao, H, Xu, S, Xu, X, Xu, YY, Yadav, MK, Yaghoubi, S, Yamagishi, K, Yang, L, Yano, Y, Yaribeygi, H, Yasufuku, Y, Ye, P, Yesodharan, R, Yesuf, SA, Yezli, S, Yi, S, Yiğit, A, Yigzaw, ZA, Yin, D, Yip, P, Yismaw, MB, Yon, DK, Yonemoto, N, You, Y, Younis, MZ, Yousefi, Z, Yu, C, Yu, Y, Zadey, S, Zadnik, V, Zakham, F, Zaki, N, Zakzuk, J, Zamagni, G, Zaman, SB, Zandieh, GGZ, Zanghì, A, Zar, HJ, Zare, I, Zarimeidani, F, Zastrozhin, MS, Zeng, Y, Zhai, C, Zhang, AL, Zhang, H, Zhang, L, Zhang, M, Zhang, Y, Zhang, Z, Zhang, Z-J, Zhao, H, Zhao, JT, Zhao, X-JG, Zhao, Y, Zhong, C, Zhou, J, Zhou, S, Zhu, B, Zhu, L, Zhu, Z, Ziaeian, B, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoghi, G, Zoller, T, Zumla, A, Zyoud, SH, Murray, CJL, and Gakidou, E
Published: 2024

2. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M-A, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NME, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, RM, Alanezi, FM, Alanzi, TM, Al-Azzam, S, Albakri, A, Albashtawy, M, AlBataineh, MT, Alcalde-Rabanal, JE, Aldawsari, KA, Aldhaleei, WA, Aldridge, RW, Alema, HB, Alemayohu, MA, Alemi, S, Alemu, YM, Al-Gheethi, AAS, Alhabib, KF, Alhalaiqa, FAN, Al-Hanawi, MK, Ali, A, Ali, L, Ali, MU, Ali, R, Ali, S, Ali, SSS, Alicandro, G, Alif, SM, Alikhani, R, Alimohamadi, Y, Aliyi, AA, Aljasir, MAM, Aljunid, SM, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, SAA, Almazan, JU, Al-Mekhlafi, HM, Almidani, L, Almidani, O, Alomari, MA, Al-Omari, B, Alonso, J, Alqahtani, JS, Alqalyoobi, S, Alqutaibi, AY, Al-Sabah, SK, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alwafi, H, Al-Worafi, YM, Aly, H, Aly, S, Alzoubi, KH, Amani, R, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Amusa, GA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Angus, C, Anil, A, Anil, S, Anoushiravani, A, Ansari, H, Ansariadi, A, Ansari-Moghaddam, A, Antony, CM, Antriyandarti, E, Anvari, D, Anvari, S, Anwar, S, Anwar, SL, Anwer, R, Anyasodor, AE, Aqeel, M, Arab, JP, Arabloo, J, Arafat, M, Aravkin, AY, Areda, D, Aremu, A, Aremu, O, Ariffin, H, Arkew, M, Armocida, B, Arndt, MB, Ärnlöv, J, Arooj, M, Artamonov, AA, Arulappan, J, Aruleba, RT, Arumugam, A, Asaad, M, Asadi-Lari, M, Asgedom, AA, Asghariahmadabad, M, Asghari-Jafarabadi, M, Ashraf, M, Aslani, A, Astell-Burt, T, Athar, M, Athari, SS, Atinafu, BTT, Atlaw, HW, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awedew, AF, Aweke, AM, Ayala Quintanilla, BP, Ayatollahi, H, Ayuso-Mateos, JL, Ayyoubzadeh, SM, Azadnajafabad, S, Azevedo, RMS, Azzam, AY, B, DB, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bahmanziari, N, Bai, R, Baig, AA, Baker, JL, Bako, AT, Bakshi, RK, Balakrishnan, S, Balasubramanian, M, Baltatu, OC, Bam, K, Banach, M, Bandyopadhyay, S, Banik, PC, Bansal, H, Bansal, K, Barbic, F, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Barteit, S, Barua, L, Basharat, Z, Bashiri, A, Basiru, A, Baskaran, P, Basnyat, B, Bassat, Q, Basso, JD, Basting, AVL, Basu, S, Batra, K, Baune, BT, Bayati, M, Bayileyegn, NS, Beaney, T, Bedi, N, Beghi, M, Behboudi, E, Behera, P, Behnoush, AH, Behzadifar, M, Beiranvand, M, Bejarano Ramirez, DF, Béjot, Y, Belay, SA, Belete, CM, Bell, ML, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bender, RG, Bensenor, IM, Beran, A, Berezvai, Z, Berhie, AY, Berice, BN, Bernstein, RS, Bertolacci, GJ, Bettencourt, PJG, Beyene, KA, Bhagat, DS, 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RG, Cramer, KM, Criqui, MH, Cruz-Martins, N, Cuadra-Hernández, SM, Culbreth, GT, Cullen, P, Cunningham, M, Curado, MP, Dadana, S, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalli, LL, Damiani, G, Darega Gela, J, Das, JK, Das, S, Dascalu, AM, Dash, NR, Dashti, M, Dastiridou, A, Davey, G, Dávila-Cervantes, CA, Davis Weaver, N, Davletov, K, De Leo, D, de Luca, K, Debele, AT, Debopadhaya, S, Degenhardt, L, Dehghan, A, Deitesfeld, L, Del Bo', C, Delgado-Enciso, I, Demessa, BH, Demetriades, AK, Deng, K, Deng, X, Denova-Gutiérrez, E, Deravi, N, Dereje, N, Dervenis, N, Dervišević, E, Des Jarlais, DC, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhimal, M, Dhingra, S, Dhulipala, VR, Dias da Silva, D, Diaz, D, Diaz, MJ, Dima, A, Ding, DD, Ding, H, Dinis-Oliveira, RJ, Dirac, MA, Djalalinia, S, Do, THP, do Prado, CB, Doaei, S, Dodangeh, M, Dohare, S, Dokova, KG, Dolecek, C, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, ER, dos Santos, WM, Doshi, R, 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Zhu, L, Ziafati, M, Zielińska, M, Zitoun, OA, Zoladl, M, Zou, Z, Zuhlke, LJ, Zumla, A, Zweck, E, Zyoud, SH, Wool, EE, and Murray, CJL
Published: 2024

3. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NME, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Ansari, H, Antony, CM, Anwar, S, Anwar, SL, Anwer, R, Anyanwu, PE, Arab, JP, Arabloo, J, Arafat, M, Araki, DT, Aravkin, AY, Arkew, M, Armocida, B, Arndt, MB, Arooj, M, Artamonov, AA, Aruleba, RT, Arumugam, A, Ashbaugh, C, Ashemo, MY, Ashraf, M, Asika, MO, Askari, E, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awotidebe, AW, Awuviry-Newton, K, Ayala Quintanilla, BP, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bah, S, Bai, R, Baker, JL, Bakkannavar, SM, Bako, AT, Balakrishnan, S, Bam, K, Banik, PC, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Barqawi, HJ, Barrow, A, Barteit, S, Barua, L, Bashiri Aliabadi, S, Basiru, A, Basu, S, Bathini, PP, Batra, K, Baune, BT, Bayileyegn, NS, Behnam, B, Behnoush, AH, Beiranvand, M, Bejarano Ramirez, DF, Bell, ML, Bello, OO, Beloukas, A, Bensenor, IM, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, 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Le, LKD, Le, NHH, Le, TDT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, W-C, Lee, YH, LeGrand, KE, Lenzi, J, Leong, E, Leung, J, Li, M-C, Li, W, Li, X, Li, Y, Lim, L-L, Lim, SS, Lindstrom, M, Linn, S, Liu, G, Liu, R, Liu, S, Liu, W, Liu, X, Llanaj, E, Lo, C-H, López-Bueno, R, Loreche, AM, Lorenzovici, L, Lozano, R, Lubinda, J, Lucchetti, G, Lunevicius, R, Lusk, JB, lv, H, Ma, ZF, Machairas, N, Madureira-Carvalho, ÁM, Magaña Gómez, JA, Maghazachi, AA, Maharjan, P, Mahasha, PW, Maheri, M, Mahjoub, S, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makris, KC, Malakan Rad, E, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Manla, Y, Mansour, A, Mansouri, P, Mansournia, MA, Mantilla Herrera, AM, Mantovani, LG, Manu, E, Marateb, HR, Mardi, P, Martinez, G, Martinez-Piedra, R, Martini, D, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Mathangasinghe, Y, Mathieson, S, Mathioudakis, AG, Mattumpuram, J, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, 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Mirutse, MK, Mirza-Aghazadeh-Attari, M, Mirzaei, M, Mirzaei, R, Misganaw, A, Mishra, AK, Mitchell, PB, Mittal, C, Moazen, B, Moberg, ME, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammadi, E, Mohammadi, S, Mohammed, H, Mohammed, S, Mohr, RM, Mokdad, AH, Molinaro, S, Momtazmanesh, S, Monasta, L, Mondello, S, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mouodi, S, Mrejen, M, Msherghi, A, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Murlimanju, BV, Mustafa, G, Muthu, S, Muzaffar, M, Myung, W, Nagarajan, AJ, Naghavi, P, Naik, GR, Nainu, F, Nair, S, Najmuldeen, HHR, Nangia, V, Naqvi, AA, Narayana, AI, Nargus, S, Nascimento, GG, Nashwan, AJ, Nasrollahizadeh, A, Natto, ZS, Nayak, BP, Nayak, VC, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nesbit, OD, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, DH, Nguyen, HQ, Niazi, RK, Nikolouzakis, TK, Nikoobar, A, Nikoomanesh, F, Nikpoor, AR, Nnaji, CA, Nnyanzi, LA, Noman, EA, Nomura, S, Norrving, B, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nurrika, D, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Odetokun, IA, O'Donnell, MJ, Oguntade, AS, Oguta, JO, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, GMM, Olufadewa, II, Olusanya, BO, Olusanya, JO, Omar, HA, Omer, GL, Omonisi, AEE, Onie, S, Onwujekwe, OE, Ordak, M, Orish, VN, Ortega-Altamirano, DV, Ortiz, A, Ortiz-Brizuela, E, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Ouyang, G, Owolabi, MO, P A, MP, Padron-Monedero, A, Padubidri, JR, Palicz, T, Palladino, C, Pan, F, Pandi-Perumal, SR, Pangaribuan, HU, Panos, GD, Panos, LD, Pantea Stoian, AM, Pardhan, S, Parikh, RR, Pashaei, A, Pasovic, M, Passera, R, Patel, J, Patel, SK, Patil, S, Patoulias, D, Patthipati, VS, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Peng, M, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Perdigão, J, Pereira, MO, Perianayagam, A, Perico, N, Pesudovs, K, Petermann-Rocha, FE, Petri, WA, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Pigott, DM, Pillay, JD, Piracha, ZZ, Pirouzpanah, S, Plass, D, Plotnikov, E, Poddighe, D, Polinder, S, Postma, MJ, Pourtaheri, N, Prada, SI, Pradhan, PMS, Prakash, V, Prasad, M, Prates, EJS, Priscilla, T, Pritchett, N, Puri, P, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raghav, PR, Rahim, MJ, Rahman, MM, Rahman, MHU, Rahman, M, Rahman, MA, Rahmani, S, Rahmanian, M, Rahmawaty, S, Rajaa, S, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Ramazanu, S, Rana, K, Ranabhat, CL, Rancic, N, Rane, A, Rao, CR, Rao, K, Rao, M, Rao, SJ, Rashidi, M-M, Rathnaiah Babu, G, Rauniyar, SK, Rawaf, DL, Rawaf, S, Razo, C, Reddy, MMRK, Redwan, EMM, Reifels, L, Reiner Jr, RC, Remuzzi, G, Renzaho, AMN, Reshmi, B, Reyes, LF, Rezaei, N, Rezaei Hachesu, P, Rezaeian, M, Rickard, J, Rodrigues, CF, Rodriguez, JAB, Roever, L, Ronfani, L, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Roy, N, Roy, P, Rubagotti, E, S N, C, Saad, AMA, Saber-Ayad, MM, Sabour, S, Sacco, S, Sachdev, PS, Saddik, B, Saddler, A, Sadee, BA, Sadeghi, E, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Sagoe, D, Saif, Z, Sajid, MR, Sakshaug, JW, Salam, N, Salami, AA, Salaroli, LB, Saleh, MA, Salem, MR, Salem, MZY, Sallam, M, Samadzadeh, S, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santos, IS, Santric-Milicevic, MM, Sarasmita, MA, Sarikhani, Y, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sarveazad, A, Sathian, B, Sathyanarayan, A, Satpathy, M, Sawhney, M, Scarmeas, N, Schaarschmidt, BM, Schmidt, MI, Schneider, IJC, Schumacher, AE, Schwebel, DC, Schwendicke, F, Sedighi, M, Senapati, S, Senthilkumaran, S, Sepanlou, SG, Sethi, Y, Setoguchi, S, Seylani, A, Shadid, J, Shafie, M, Shah, H, Shah, NS, Shah, PA, Shahbandi, A, Shahid, S, Shahid, W, Shahwan, MJ, Shaikh, MA, Shakeri, A, Shalash, AS, Sham, S, Shamim, MA, Shamshirgaran, MA, Shamsi, MA, Shanawaz, M, Shankar, A, Shannawaz, M, Sharath, M, Sharifan, A, Sharifi-Rad, J, Sharma, M, Sharma, R, Sharma, S, Sharma, U, Sharma, V, Shastry, RP, Shavandi, A, Shayan, AM, Shayan, M, Shehabeldine, AME, Shetty, PH, Shibuya, K, Shifa, JE, Shiferaw, D, Shiferaw, WS, Shigematsu, M, Shiri, R, Shitaye, NA, Shittu, A, Shivakumar, KM, Shivarov, V, Shokati Eshkiki, Z, Shool, S, Shrestha, S, Shuval, K, Sibhat, MM, Siddig, EE, Sigfusdottir, ID, Silva, DAS, Silva, JP, Silva, LMLR, Silva, S, Simpson, CR, Singal, A, Singh, A, Singh, BB, Singh, H, Singh, JA, Singh, M, Singh, P, Skou, ST, Sleet, DA, Slepak, ELN, Solanki, R, Soliman, SSM, Song, S, Song, Y, Sorensen, RJD, Soriano, JB, Soyiri, IN, Spartalis, M, Sreeramareddy, CT, Stark, BA, Starodubova, AV, Stein, C, Stein, DJ, Steiner, C, Steiner, TJ, Steinmetz, JD, Steiropoulos, P, Stockfelt, L, Stokes, MA, Subedi, NS, Subramaniyan, V, Suemoto, CK, Suleman, M, Suliankatchi Abdulkader, R, Sultana, A, Sundström, J, Swain, CK, Szarpak, L, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabche, C, Tabish, M, Tadakamadla, SK, Taheri Abkenar, Y, Taheri Soodejani, M, Taherkhani, A, Taiba, J, Talaat, IM, Talukder, A, Tampa, M, Tamuzi, JL, Tan, K-K, Tandukar, S, Tang, H, Tavakoli Oliaee, R, Tavangar, SM, Teimoori, M, Temsah, M-H, Teramoto, M, Thangaraju, P, Thankappan, KR, Thapar, R, Thayakaran, R, Thirunavukkarasu, S, Thomas, N, Thomas, NK, Thum, CCC, Tichopad, A, Ticoalu, JHV, Tillawi, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Torre, AE, Touvier, M, Tovani-Palone, MR, Tran, JT, Tran, MTN, Tran, NM, Tran, N-H, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsegay, GM, Tsermpini, EE, Tumurkhuu, M, Tyrovolas, S, Udoh, A, Umair, M, Umakanthan, S, Umar, TP, Undurraga, EA, Unim, B, Unnikrishnan, B, Unsworth, CA, Upadhyay, E, Urso, D, Usman, JS, Vahabi, SM, Vaithinathan, AG, Van den Eynde, J, Varga, O, Varma, RP, Vart, P, Vasankari, TJ, Vasic, M, Vaziri, S, Vellingiri, B, Venketasubramanian, N, Veroux, M, Verras, G-I, Vervoort, D, Villafañe, JH, Violante, FS, Vlassov, V, Vollset, SE, Volovat, SR, Vongpradith, A, Waheed, Y, Wang, C, Wang, F, Wang, N, Wang, S, Wang, Y, Wang, Y-P, Ward, P, Wassie, EG, Weaver, MR, Weerakoon, KG, Weintraub, RG, Weiss, DJ, Weldemariam, AH, Wells, KM, Wen, YF, Whisnant, JL, Whiteford, HA, Wiangkham, T, Wickramasinghe, DP, Wickramasinghe, ND, Wilandika, A, Wilkerson, C, Willeit, P, Wimo, A, Woldegebreal, DH, Wolf, AW, Wong, YJ, Woolf, AD, Wu, C, Wu, F, Wu, X, Wu, Z, Wulf Hanson, S, Xia, Y, Xiao, H, Xu, X, Xu, YY, Yadav, L, Yadollahpour, A, Yaghoubi, S, Yamagishi, K, Yang, L, Yano, Y, Yao, Y, Yaribeygi, H, Yazdanpanah, MH, Ye, P, Yehualashet, SS, Yesuf, SA, Yezli, S, Yiğit, A, Yiğit, V, Yigzaw, ZA, Yismaw, Y, Yon, DK, Yonemoto, N, Younis, MZ, Yu, C, Yu, Y, Yusuf, H, Zahid, MH, Zakham, F, Zaki, L, Zaki, N, Zaman, BA, Zamora, N, Zand, R, Zandieh, GGZ, Zar, HJ, Zarrintan, A, Zastrozhin, MS, Zhang, H, Zhang, N, Zhang, Y, Zhao, H, Zhong, C, Zhong, P, Zhou, J, Zhu, Z, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoladl, M, Zumla, A, Zyoud, SH, Vos, T, and Murray, CJL
Published: 2024

4. Changes in dispensing of medicines proposed for re-purposing in the first year of the COVID-19 pandemic in Australia

Author: Yon, DK, Schaffer, AL, Henry, D, Zoega, H, Elliott, JH, Pearson, S-A, Yon, DK, Schaffer, AL, Henry, D, Zoega, H, Elliott, JH, and Pearson, S-A
Abstract: BACKGROUND: Since COVID-19 was first recognised, there has been ever-changing evidence and misinformation around effective use of medicines. Understanding how pandemics impact on medicine use can help policymakers act quickly to prevent harm. We quantified changes in dispensing of common medicines proposed for "re-purposing" due to their perceived benefits as therapeutic or preventive for COVID-19 in Australia. METHODS: We performed an interrupted time series analysis and cross-sectional study using nationwide dispensing claims data (January 2017-November 2020). We focused on six subsidized medicines proposed for re-purposing: hydroxychloroquine, azithromycin, ivermectin, colchicine, corticosteroids, and calcitriol (Vitamin D analog). We quantified changes in monthly dispensing and initiation trends during COVID-19 (March-November 2020) using autoregressive integrated moving average models and compared characteristics of initiators in 2020 and 2019. RESULTS: In March 2020, we observed a 99% (95%CI: 96%-103%) increase in hydroxychloroquine dispensing (approximately 22% attributable to new users), and a 199% increase (95%CI: 184%-213%) in initiation, with an increase in prescribing by general practitioners (42% in 2020 vs 25% in 2019) rather than specialists. These increases subsided following regulatory restrictions on prescribing. There was a small but sustained increase in ivermectin dispensing over multiple months, with an 80% (95%CI 42%-118%) increase in initiation in May 2020 following its first identification as potentially disease-modifying in April. Other than increases in March related to stockpiling, we observed no change in the initiation of calcitriol or colchicine during COVID-19. Dispensing of corticosteroids and azithromycin was lower than expected from April through November 2020. CONCLUSIONS: While most increases in dispensing observed early on during COVID-19 were temporary and appear to be related to stockpiling among existing users, we observed in
Published: 2022

5. Trial registration of abstracts from the American Society of Anesthesiologists Meetings 2010-2016: A review of prospective trial registration and selective outcome reporting

Author: Yon, DK, Chong, SW, Imberger, G, Karahalios, A, Wang, A, Burggraf, M, Louis, M, Liskaser, GM, Bianco, A, Peyton, PJ, Yon, DK, Chong, SW, Imberger, G, Karahalios, A, Wang, A, Burggraf, M, Louis, M, Liskaser, GM, Bianco, A, and Peyton, PJ
Abstract: Mandatory prospective trial registration was introduced in 2005 to reduce publication bias and selective outcome reporting. In this study, we measured the proportion of prospective trial registration in randomized controlled trials in the anesthesia literature after this introduction, discrepancies between these trial protocols and subsequent publications, the association between being prospectively registered and reporting positive or negative results, and between being prospectively registered and achieving publication. We reviewed all abstracts from the American Society of Anesthesiologists annual meetings between 2010-2016 and included randomized controlled trials in humans. The abstract conclusions were scored as positive or negative according to predetermined definitions. We conducted a systematic search for trial registration and subsequent publication. Of the 9789 abstracts reviewed, 1070 abstracts were included. 222 (21%) of these abstracts had undergone prospective trial registration. 168/222 (76%) had a corresponding journal publication. 81(48%) had a major discrepancy between registration and publication. 149 (67%) of the abstracts with registration had positive outcomes compared with 616 (73%) of those without (Odds Ratio 0.77; 95% CI: 0.56 to 1.06; P = 0.105). Abstracts that had been registered were more likely to proceed to publication than those that had not (Odds Ratio 3.82; 95% CI 2.73 to 5.35; P < 0.001). The proportion of randomized controlled trials being prospectively registered in anesthesia remains low. Discrepancies between registry entries and corresponding journal publications are common. There was no association between prospective trial registration and subsequent positive outcomes. There was a strong association between prospective trial registration and the likelihood of progression to journal publication.
Published: 2022

6. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Author: Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, Elmonem, MA, Endries, AY, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, AF, Fakhradiyev, IR, Farahmand, F, Sa Farinha, CSE, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feldman, R, Feng, X, Fentaw, Z, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Francis, JM, Franklin, RC, Gaal, PA, Gad, MM, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremeskel, TG, Gebremichael, MA, Gemechu, TR, Getacher, L, Getachew, ME, Obsa, AG, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, SH, Ghandour, LA, Nour, MG, Ghashghaee, A, Ghozy, S, Glozah, FN, Glushkova, EV, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, TW, Gupta, B, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Nejad, NH, Mirzaian, AH, Hall, BJ, Halwani, R, Handiso, TB, Hankey, GJ, Hariri, S, Haro, JM, Hasaballah, A, Moghaddam, HH, Hay, S, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, DZ, Hezam, K, Hlongwa, MM, Holla, R, Hossain, MM, Hossain, S, Hosseini, SK, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, G, Huang, J, Hussain, S, Ibitoye, SE, Ilic, IM, Ilic, MD, Immurana, M, Irham, LM, Islam, MM, Islam, RM, Islam, SMS, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, SK, Jayarajah, UU, Jayawardena, R, Jebai, R, Jeddi, SA, Jema, AT, Jha, RP, Jindal, HA, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabthymer, RH, Kamble, BD, Kandel, H, Kanno, GG, Kapoor, N, Karaye, IM, Karimi, SE, Kassa, BG, Kaur, RJ, Kayode, GA, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, IA, Ab Khan, M, Kim, H, Kim, J, Kim, MS, Kimokoti, RW, Kivimaki, M, Klymchuk, V, Knudsen, AKS, Kolahi, AA, Korshunov, VA, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, GA, Kumar, N, Ben, L, Lallukka, T, Lasrado, S, Lau, J, Lee, SW, Lee, WC, Lee, YH, Lim, LL, Lim, SS, Lobo, SW, Lopukhov, PD, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, RA, Makki, A, Malekpour, MR, Manjunatha, N, Mansouri, B, Mansournia, MA, Raga, JM, Villa, FAM, Matzopoulos, R, Maulik, PK, Mayeli, M, McGrath, JJ, Meena, JK, Nasab, EM, Menezes, RG, Mensink, GBM, Mentis, AFA, Meretoja, A, Merga, BT, Mestrovic, T, Jonasson, JM, Miazgowski, B, de Sa, ACMGN, Miller, TR, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, EM, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, AM, Mohammed, TA, Moka, N, Mokdad, AH, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, EC, Mulugeta, BT, Zamora, EM, Murray, CJL, Mwita, JC, Naghavi, M, Naimzada, MD, Nangia, V, Nayak, BP, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nepal, S, Neupane, SPP, Kandel, SN, Nigatu, YT, Nowroozi, A, Nuruzzaman, KM, Nzoputam, CI, Obamiro, KO, Ogbo, FA, Oguntade, AS, Aliabad, HO, Olakunde, BO, Oliveira, GMM, Bali, AO, Omer, E, Altamirano, DVO, Otoiu, A, Otstavnov, SS, Oumer, B, Mahesh, PA, Monedero, AP, Palladino, R, Pana, A, Jonas, SP, Pandey, A, Pardhan, S, Parekh, T, Park, EK, Parry, CDH, Kan, FP, Patel, J, Pati, S, Patton, GC, Paudel, U, Pawar, S, Peden, AE, Petcu, IR, Phillips, MR, Pinheiro, M, Plotnikov, E, Pradhan, PMS, Prashant, A, Quan, J, Radfar, A, Rafiei, A, Raghav, PR, Movaghar, VR, Rahman, A, Rahman, MM, Rahman, M, Rahmani, AM, Rahmani, S, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rasali, DP, Rashidi, MM, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Renzaho, AMN, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, SM, Rodriguez, ER, Roth, GA, Rwegerera, GM, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, MA, Rahman, KSU, Salahi, S, Salimzadeh, H, Samy, AM, Sanmarchi, F, Milicevic, MMS, Sarikhani, Y, Sathian, B, Saya, GK, Sayyah, M, Schmidt, MI, Schutte, AE, Schwarzinger, M, Schwebel, DC, Seidu, AA, Kumar, NS, SeyedAlinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, FS, Shahrokhi, S, Shaikh, MA, Shaker, E, Shakhmardanov, MZ, Beyranvand, MS, Sheikhbahaei, S, Sheikhi, RA, Shetty, A, Shetty, JK, Shiferaw, DS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, NB, Sigfusdottir, ID, Silva, DAS, da Silva, NT, Singh, JA, Singh, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Solmi, M, Solomon, Y, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Soyiri, IN, Stein, DJ, Subba, SH, Szocska, M, Seisdedos, RT, Tabuchi, T, Taheri, M, Tan, KK, Tareke, M, Tarkang, EE, Temesgen, G, Temesgen, WA, Temsah, MH, Thankappan, KR, Thapar, R, Thomas, NK, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, MRT, Mai, TNT, Llimos, ST, Tripathy, JP, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, SB, Vasankari, TJ, Vos, T, Wagaye, B, Waheed, Y, Walde, MT, Wang, C, Wang, Y, Wang, YP, Westerman, R, Wickramasinghe, ND, Wubetu, AD, Xu, S, Yamagishi, K, Yang, L, Yesera, GEE, Yigit, A, Yigit, V, Yimaw, AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, Madureira-Carvalho, AM, Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, Elmonem, MA, Endries, AY, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, AF, Fakhradiyev, IR, Farahmand, F, Sa Farinha, CSE, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feldman, R, Feng, X, Fentaw, Z, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Francis, JM, Franklin, RC, Gaal, PA, Gad, MM, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremeskel, TG, Gebremichael, MA, Gemechu, TR, Getacher, L, Getachew, ME, Obsa, AG, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, SH, Ghandour, LA, Nour, MG, Ghashghaee, A, Ghozy, S, Glozah, FN, Glushkova, EV, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, TW, Gupta, B, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Nejad, NH, Mirzaian, AH, Hall, BJ, Halwani, R, Handiso, TB, Hankey, GJ, Hariri, S, Haro, JM, Hasaballah, A, Moghaddam, HH, Hay, S, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, DZ, Hezam, K, Hlongwa, MM, Holla, R, Hossain, MM, Hossain, S, Hosseini, SK, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, G, Huang, J, Hussain, S, Ibitoye, SE, Ilic, IM, Ilic, MD, Immurana, M, Irham, LM, Islam, MM, Islam, RM, Islam, SMS, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, SK, Jayarajah, UU, Jayawardena, R, Jebai, R, Jeddi, SA, Jema, AT, Jha, RP, Jindal, HA, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabthymer, RH, Kamble, BD, Kandel, H, Kanno, GG, Kapoor, N, Karaye, IM, Karimi, SE, Kassa, BG, Kaur, RJ, Kayode, GA, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, IA, Ab Khan, M, Kim, H, Kim, J, Kim, MS, Kimokoti, RW, Kivimaki, M, Klymchuk, V, Knudsen, AKS, Kolahi, AA, Korshunov, VA, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, GA, Kumar, N, Ben, L, Lallukka, T, Lasrado, S, Lau, J, Lee, SW, Lee, WC, Lee, YH, Lim, LL, Lim, SS, Lobo, SW, Lopukhov, PD, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, RA, Makki, A, Malekpour, MR, Manjunatha, N, Mansouri, B, Mansournia, MA, Raga, JM, Villa, FAM, Matzopoulos, R, Maulik, PK, Mayeli, M, McGrath, JJ, Meena, JK, Nasab, EM, Menezes, RG, Mensink, GBM, Mentis, AFA, Meretoja, A, Merga, BT, Mestrovic, T, Jonasson, JM, Miazgowski, B, de Sa, ACMGN, Miller, TR, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, EM, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, AM, Mohammed, TA, Moka, N, Mokdad, AH, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, EC, Mulugeta, BT, Zamora, EM, Murray, CJL, Mwita, JC, Naghavi, M, Naimzada, MD, Nangia, V, Nayak, BP, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nepal, S, Neupane, SPP, Kandel, SN, Nigatu, YT, Nowroozi, A, Nuruzzaman, KM, Nzoputam, CI, Obamiro, KO, Ogbo, FA, Oguntade, AS, Aliabad, HO, Olakunde, BO, Oliveira, GMM, Bali, AO, Omer, E, Altamirano, DVO, Otoiu, A, Otstavnov, SS, Oumer, B, Mahesh, PA, Monedero, AP, Palladino, R, Pana, A, Jonas, SP, Pandey, A, Pardhan, S, Parekh, T, Park, EK, Parry, CDH, Kan, FP, Patel, J, Pati, S, Patton, GC, Paudel, U, Pawar, S, Peden, AE, Petcu, IR, Phillips, MR, Pinheiro, M, Plotnikov, E, Pradhan, PMS, Prashant, A, Quan, J, Radfar, A, Rafiei, A, Raghav, PR, Movaghar, VR, Rahman, A, Rahman, MM, Rahman, M, Rahmani, AM, Rahmani, S, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rasali, DP, Rashidi, MM, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Renzaho, AMN, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, SM, Rodriguez, ER, Roth, GA, Rwegerera, GM, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, MA, Rahman, KSU, Salahi, S, Salimzadeh, H, Samy, AM, Sanmarchi, F, Milicevic, MMS, Sarikhani, Y, Sathian, B, Saya, GK, Sayyah, M, Schmidt, MI, Schutte, AE, Schwarzinger, M, Schwebel, DC, Seidu, AA, Kumar, NS, SeyedAlinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, FS, Shahrokhi, S, Shaikh, MA, Shaker, E, Shakhmardanov, MZ, Beyranvand, MS, Sheikhbahaei, S, Sheikhi, RA, Shetty, A, Shetty, JK, Shiferaw, DS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, NB, Sigfusdottir, ID, Silva, DAS, da Silva, NT, Singh, JA, Singh, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Solmi, M, Solomon, Y, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Soyiri, IN, Stein, DJ, Subba, SH, Szocska, M, Seisdedos, RT, Tabuchi, T, Taheri, M, Tan, KK, Tareke, M, Tarkang, EE, Temesgen, G, Temesgen, WA, Temsah, MH, Thankappan, KR, Thapar, R, Thomas, NK, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, MRT, Mai, TNT, Llimos, ST, Tripathy, JP, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, SB, Vasankari, TJ, Vos, T, Wagaye, B, Waheed, Y, Walde, MT, Wang, C, Wang, Y, Wang, YP, Westerman, R, Wickramasinghe, ND, Wubetu, AD, Xu, S, Yamagishi, K, Yang, L, Yesera, GEE, Yigit, A, Yigit, V, Yimaw, AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, and Madureira-Carvalho, AM
Abstract: BACKGROUND: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attribu
Published: 2022

7. Clinical significance of hepatosplenic thrombosis in vaccine-induced immune thrombotic thrombocytopenia after ChAdOx1 nCoV-19 vaccination

Author: Hwang J, Han YJ, Yon DK, Lee SW, Kim BK, Lee SB, Lee MH, Park SH, Koyanagi A, Jacob L., Tizaoui K, Kim SU, Shin JI, and Smith L
Subjects: Vaccine-induced immune thrombotic thrombocytopenia, ChAdOx1 nCoV-19, Hepatosplenic thrombosis, vaccine, Portal vein thrombosis, COVID-19 vaccine
Abstract: BACKGROUND: Vaccine-induced immune thrombotic thrombocytopenia (VITT) is a rare, serious complication after adenoviral COVID-19 vaccine administration that can involve various organ systems. We aimed to investigate the clinical significance of hepatosplenic thrombosis in patients with VITT. METHODS: We searched PubMed ePubs, Scopus, Embase, and Web of Science databases for studies published until April 28, 2021 involving patients with VITT after ChAdOx1 nCoV-19 vaccination. Demographic and clinical characteristics including laboratory measurements were collected and compared. RESULTS: Four case series and three case reports involving 48 cases of VITT were included. Hepatosplenic thrombosis was present in eight cases (17%). Patients with hepatosplenic thrombosis had lower platelet counts (13,000 vs. 29,500/µL, p=0.016) and higher D-dimer levels (140.0 vs. 57.3 times upper limit of normal range, p=0.028). Multiple-site thrombosis was also associated with hepatosplenic thrombosis (88% vs. 15%, p
Published: 2022

8. Effects of exogenous melatonin supplementation on health outcomes: an umbrella review of meta-analyses based on randomized controlled trials

Author: Lim S, Park S, Koyanagi A, Yang JW, Jacob L., Yon DK, Lee SW, Kim MS, Il Shin J, and Smith L
Subjects: 2118) [Alprazolam (PubChem CID], 892) [Inositol (PubChem CID], 135398745) [Olanzapine (PubChem CID], Umbrella review, 896) [Melatonin (PubChem CID], Clinical outcome, Randomized controlled trial, 5073) [Risperidone (PubChem CID], 135398737) [Clozapine (PubChem CID], 4616) [Oxazepam (PubChem CID], 5002) [Quetiapine (PubChem CID], 4192) [Midazolam (PubChem CID], Melatonin
Abstract: Various melatonin supplementations have been developed to improve health outcomes in various clinical conditions. Thus, we sought to evaluate and summarize the effect of melatonin treatments in clinical settings for health outcomes. We searched PubMed/Medline, Embase, and Cochrane Library from inception to 4 February 2021. We included meta-analyses of randomized controlled trials investigating the melatonin intervention for any health outcome. Based on the different effect sizes of each meta-analysis, we calculated random models' standardized mean differences or risk ratios. We observed robust evidence supported by statistical significance with non-considerable heterogeneity between studies for sleep-related problems, cancer, surgical patients, and pregnant women. Patients with sleep disorder, sleep onset latency (SMD 0.33, 95% CI: 0.10 - 0.56, P < 0.01) were significantly improved whereas no clear evidence was shown with sleep efficiency (1.10, 95% CI: -0.26 - 2.45). The first analgesic requirement time (SMD 5.81, 95% CI: 2.57 - 9.05, P < 0.001) of surgical patients was distinctly improved. Female patients under artificial reproductive technologies had significant increase in the top-quality embryos (SMD 0.53, 95% CI: 0.27 - 0.79, P < 0.001), but no statistically clear evidence was found in the live birth rate (SMD 1.20, 95% CI: 0.83 - 1.72). Survival at one year (RR 1.90, 95% CI: 1.28 - 2.83, P < 0.005) significantly increased with cancer patients. Research on melatonin interventions to treat clinical symptoms and sleep problems among diverse health conditions was identified and provided considerable evidence. Future well-designed randomized clinical trials of high quality and subgroup quantitative analyses are essential.
Published: 2022

9. Immunogenicity of COVID-19 Vaccines in Patients with Diverse Health Conditions: a Comprehensive Systematic Review

Author: Cho K, Park S, Kim EY, Koyanagi A, Jacob L., Yon DK, Lee SW, Kim MS, Radua J, Elena D, Il Shin J, and Smith L
Subjects: seropositivity, vaccine, COVID-19, health status, immunogenicity
Abstract: It remains unclear how effective COVID-19 vaccinations will be in patients with weakened immunity due to diseases, transplantation, and dialysis. We conducted a systematic review comparing the efficacy of COVID-19 vaccination in patients with solid tumor, hematologic malignancy, autoimmune disease, inflammatory bowel disease, and patients who received transplantation or dialysis. A literature search was conducted twice using the Medline/PubMed database. As a result, 21 papers were included in the review, and seropositivity rate was summarized by specific type of disease, transplantation, and dialysis. When different papers studied the same type of patient group, a study with a higher number of participants was selected. Most of the solid tumor patients showed a seropositivity rate of more than 80% after the second inoculation, but a low seropositivity was found in certain tumors such as breast cancer. Research in patients with certain types of hematological malignancy and autoimmune diseases has also reported low seropositivity, and this may have been affected by the immunosuppressive treatment these patients receive. Research in patients receiving dialysis or transplantation has reported lower seropositivity rates than the general population, while all patients with inflammatory bowel disease have converted to be seropositive. Meta-analysis validating these results will be needed, and studies will also be needed on methods to protect patients with reduced immunity from COVID-19. This article is protected by copyright. All rights reserved.
Published: 2022

10. Thrombosis patterns and clinical outcome of COVID-19 vaccine-induced immune thrombotic thrombocytopenia: A Systematic Review and Meta-Analysis

Author: Kim AY, Woo W, Yon DK, Lee SW, Yang JW, Kim JH, Park S, Koyanagi A, Kim MS, Lee S, Shin JI, and Smith L
Subjects: Adverse event, Vaccine-induced immune thrombotic thrombocytopenia, Splanchnic vein thrombosis, cerebral venous thrombosis, COVID-19 vaccine, Vaccine thrombosis
Abstract: OBJECTIVES: To meta-analyze the clinical manifestations, diagnosis, treatment, and mortality of vaccine-induced immune thrombotic thrombocytopaenia (VITT) after adenoviral vector vaccination. METHODS: Eighteen studies of VITT after ChAdOx1 nCoV-19 or Ad26.COV2.S vaccine administration were reviewed from PubMed, Scopus, Embase, and Web of Science. The meta-analysis estimated the summary effects and between-study heterogeneity regarding the incidence, manifestations, sites of thrombosis, diagnostic findings, and clinical outcomes. RESULTS: The incidence of total venous thrombosis after ChAdOx1 nCoV-19 was 28 (95% CI 12-52, I(2)=100%) per 100,000 doses administered. Of 664 patients in quantitative analysis (10 studies), the mean age of VITT patients was 45.6 years (95% CI 43.8-47.4, I(2)=57%), with a female predominance (70%). Cerebral venous thrombosis (CVT), deep vein thrombosis (DVT)/pulmonary thromboembolism (PE), and splanchnic vein thrombosis occurred in 54%, 36%, 19% of VITT patients, respectively. The pooled incidence rate of cerebral venous thrombosis after ChAdOx1 nCoV-19 (23 per 100,000 person-years) was higher than the pre-pandemic rate (0.9 per 100,000 person-years). Intracranial haemorrhage and extracranial thrombosis accompanied 47% and 33% of all CVT patients, respectively. The antiplatelet factor 4 (anti-PF4) antibody positivity rate was 91% (95% CI 88-94, I(2)=0%) and the overall mortality was 32% (95% CI 24-41, I(2)=69%), and no significant difference was observed between heparin- and non-heparin-based anticoagulation treatments (risk ratio 0.84, 95% CI 0.47-1.50, I(2)=0%). CONCLUSIONS: VITT patients after SARS-CoV-2 vaccination most frequently presented with CVT following DVT/PE and splanchnic vein thrombosis, and about one-third of patients had a fatal outcome. This meta-analysis should provide a better understanding of VITT and assist clinicians in identifying VITT early to improve outcomes and optimize management.
Published: 2022

11. Clinical Manifestations of COVID-19 Breakthrough Infections: A Systematic Review and Meta-Analysis

Author: Lee CJ, Woo W, Kim AY, Yon DK, Lee SW, Koyanagi A, Kim MS, KalthoumTizaoui, Dragioti E, Radua J, Lee S, Smith L, and Il Shin J
Subjects: Vaccine Effectiveness, Clinical Manifestations, COVID-19, Delta Variant, Breakthrough Infection
Abstract: OBJECTIVE: To provide a comparative meta-analysis and systematic review of the risk and clinical outcomes of COVID-19 infection between fully vaccinated and unvaccinated groups. METHODS: Eighteen studies of COVID-19 infections in fully vaccinated ("breakthrough infections") and unvaccinated individuals were reviewed from Medline/PubMed, Scopus, Embase, and Web of Science databases. The meta-analysis examined the summary effects and between-study heterogeneity regarding differences in the risk of infection, hospitalization, treatments, and mortality between vaccinated and unvaccinated individuals. RESULTS: The overall risk of infection was lower for the fully vaccinated compared to that of the unvaccinated (relative risk[RR] 0.20, 95% CI 0.19-0.21), especially for variants other than Delta (Delta: RR 0.29, 95% CI 0.13-0.65; other variants: RR 0.06, 95% CI 0.04-0.08). The risk of asymptomatic infection was not statistically significantly different between fully vaccinated and unvaccinated (RR 0.56, 95% CI 0.27-1.19). There were neither statistically significant differences in risk of hospitalization (RR 1.06, 95% CI 0.38-2.93), invasive mechanical ventilation (RR 1.65 ,95% CI 0.90-3.06), or mortality (RR 1.19, 95% CI 0.79-1.78). Conversely, the risk of supplemental oxygen during hospitalization was significantly higher for the unvaccinated (RR 1.40, 95% CI 1.08-1.82). CONCLUSIONS: Unvaccinated people were more vulnerable to COVID-19 infection than fully vaccinated for all variants. Once infected, there were no statistically significant differences in the risk of hospitalization, invasive mechanical ventilation, or mortality. Still, unvaccinated showed an increased need for oxygen supplementation. Further prospective analysis, including patients' risk factors, COVID-19 variants, and the utilized treatment strategies, would be warranted. This article is protected by copyright. All rights reserved.
Published: 2022

12. Clinical characteristics and prognostic factors of myocarditis associated with the mRNA COVID-19 vaccine

Author: Woo W, Kim AY, Yon DK, Lee SW, Hwang J, Jacob L., Koyanagi A, Kim MS, Moon DH, Jung JW, Choi JY, Jung SY, Eun LY, Lee S, Shin JI, and Smith L
Subjects: mRNA-1273, vaccine-induced myocarditis, BNT162b2, myocarditis, COVID-19 vaccine
Abstract: To analyze the clinical presentation and outcomes of myocarditis after administration of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) messenger RNA (mRNA) vaccine. Nine case series and 15 case reports (74 patients) of myocarditis after administration of the BNT162b2 or mRNA-1273 vaccine were reviewed from PubMed, Scopus, Embase, and Web of Science. We analyzed clinical manifestations, diagnostic findings, and outcomes. In addition, we performed a pooled analysis and investigated risk factors leading to admission to the intensive care unit and recovery with conservative care. Most patients were male (94.6%), and the median age (range) was 17.6 (14-70) years. Patients who received the BNT162b2 (n = 58, 78.4%) vaccine presented fewer systemic symptoms and left ventricular dysfunction than mRNA-1273 recipients. Although patients under 20 years experienced more fever and myalgia, they had better ejection fraction and less prominent myocardial inflammation in magnetic resonance imaging than older patients. The clinical course of all patients was favorable without mortality, and one-third of patients resolved with conservative care alone. Risk factor analyses revealed that patients with gastrointestinal symptoms required intensive care (odds ratio: 20.3, 95% confidence interval 1.90-217, p = 0.013). The risk of fatality in myocarditis subjected to mRNA vaccination seems to be low. However, patients with gastrointestinal symptoms received more intensive care, and a significant proportion of patients recovered with conservative management.
Published: 2022

13. Suicide associated with COVID-19 infection: an immunological point of view

Author: Choi, MJ, Yang, JW, Lee, S, Kim, JY, Oh, JW, Lee, J, Stubbs, B, Lee, KH, Koyanagi, A, Hong, SH, Ghayda, RA, Hwang, J, Dragioti, E, Jacob, L, Carvalho, AF, Radua, J, Thompson, Trevor, Smith, L, Fornaro, M, Stickley, A, Bettac, EL, Han, YJ, Kronbichler, A, Yon, DK, Lee, SW, Shin, JI, Lee, E, and Solmi, M
Subjects: Suicide, Risk Factors, QR180, RC0321, COVID-19, Cytokines, Humans
Abstract: OBJECTIVE: Coronavirus disease 2019 (COVID-19) is a pandemic and leading cause of death. Beyond the deaths directly caused by the virus and the suicides related to the psychological response to the dramatic changes as socioeconomic related to the pandemic, there might also be suicides related to the inflammatory responses of the infection. Infection induces inflammation as a cytokine storm, and there is an increasing number of studies that report a relationship between infection and suicide.\ud \ud MATERIALS AND METHODS: We searched the World Health Organization status report and the PubMed database for keywords (COVID-19, suicide, infection, inflammation, cytokines), and reviewed five cytokine pathways between suicide and inflammation using two meta-analyses and two observational studies starting from November 31, 2020, focusing on the relationship between suicide and inflammation by infection. First, we discussed existing evidence explaining the relationship between suicidal behaviors and inflammation. Second, we summarized the inflammatory features found in COVID-19 patients. Finally, we highlight the potential for these factors to affect the risk of suicide in COVID-19 patients.\ud \ud RESULTS: Patients infected with COVID-19 have high amounts of IL-1β, IFN-γ, IP10, and MCP1, which may lead to Th1 cell response activation. Also, Th2 cytokines (e.g., IL-4 and IL-10) were increased in COVID-19 infection. In COVID-19 patients, neurological conditions, like headache, dizziness, ataxia, seizures, and others have been observed.\ud \ud CONCLUSIONS: COVID-19 pandemic can serve as a significant environmental factor contributing directly to increased suicide risk; the role of inflammation by an infection should not be overlooked.
Published: 2021

14. Predictors of mortality in thrombotic thrombocytopenia after adenoviral COVID-19 vaccination: the FAPIC score

Author: Hwang J, Park SH, Lee SW, Lee SB, Lee MH, Jeong GH, Kim MS, Kim JY, Koyanagi A, Jacob L., Jung SY, Song J, Yon DK, Shin JI, and Smith L
Subjects: Cerebral venous thrombosis, Vaccine-induced thrombotic thrombocytopenia, ChAdOx1 nCoV-19, Thrombotic thrombocytopenia syndrome, COVID-19 vaccine
Abstract: AIMS: The clinical manifestation and outcomes of thrombosis with thrombocytopenia syndrome (TTS) after adenoviral COVID-19 vaccine administration are largely unknown due to the rare nature of the disease. We aimed to analyse the clinical presentation, treatment modalities, outcomes, and prognostic factors of adenoviral TTS, as well as identify predictors for mortality. METHODS AND RESULTS: PubMed, Scopus, Embase, and Web of Science databases were searched and the resulting articles were reviewed. A total of 6 case series and 13 case reports (64 patients) of TTS after ChAdOx1 nCoV-19 vaccination were included. We performed a pooled analysis and developed a novel scoring system to predict mortality. The overall mortality of TTS after ChAdOx1 nCoV-19 vaccination was 35.9% (23/64). In our analysis, age =60 years, platelet count
Published: 2021

15. Roles of microRNAs in inflammatory bowel disease

Author: Jung H, Kim JS, Lee KH, Tizaoui K, Terrazzino S, Cargnin S, Smith L, Koyanagi A, Jacob L., Li H, Hong SH, Yon DK, Lee SW, Kim MS, Wasuwanich P, Karnsakul W, Shin JI, and Kronbichler A
Subjects: Crohn's disease, microRNAs, ulcerative colitis, digestive system diseases, inflammatory bowel diseases
Abstract: Inflammatory bowel disease (IBD) is a chronic inflammatory disease of the gastrointestinal tract that mainly affects young people. IBD is associated with various gastrointestinal symptoms, and thus, affects the quality of life of patients. Currently, the pathogenesis of IBD is poorly understood. Although intestinal bacteria and host immune response are thought to be major factors in its pathogenesis, a sufficient explanation of their role in its pathophysiologic mechanism has not been presented. MicroRNAs (miRNAs), which are small RNA molecules that regulate gene expression, have gained attention as they are known to participate in the molecular interactions of IBD. Recent studies have confirmed the important role of miRNAs in targeting certain molecules in signaling pathways that regulate the homeostasis of the intestinal barrier, inflammatory reactions, and autophagy of the intestinal epithelium. Several studies have identified the specific miRNAs associated with IBD from colon tissues or serum samples of IBD patients and have attempted to use them as useful diagnostic biomarkers. Furthermore, some studies have attempted to treat IBD through intracolonic administration of specific miRNAs in the form of nanoparticle. This review summarizes the latest findings on the role of miRNAs in the pathogenesis, diagnosis, and treatment of IBD.
Published: 2021

16. Comparison of vaccine-induced thrombotic events between ChAdOx1 nCoV-19 and Ad26.COV.2.S vaccines

Author: Hwang J, Lee SB, Lee SW, Lee MH, Koyanagi A, Jacob L, Tizaoui K, Yon DK, Shin JI, and Smith L
Subjects: Cerebral venous thrombosis, Thrombotic thrombocytopenia syndrome, Adenoviral vector vaccine, COVID-19 vaccine, Vaccine-induced thrombotic thrombocytopenia
Abstract: Cerebral venous thrombosis (CVT) events have been reported after vaccination with adenoviral COVID-19 vector vaccines. This study aimed to compare the clinical presentations and courses of vaccine-induced thrombotic thrombocytopenia (VITT) between the two adenoviral vector vaccines, Ad26.COV.2.S (Janssen/Johnson & Johnson) and ChAdOx1 nCoV-19 (Astra-Zeneca). We found that CVT after Ad26.COV.2.S vaccination presents later with similar symptoms compared to CVT after administration of ChAdOx1 nCoV-19, albeit with more thrombosis and intracerebral hemorrhage, lower D-dimer and aPTT levels but similar mortality. These findings could help guide clinical assessment and management of CVT after COVID-19 vaccination.
Published: 2021

17. Non-alcoholic Fatty Liver Disease and COVID-19 Susceptibility and Outcomes: a Korean Nationwide Cohort

Author: Yoo HW, Jin HY, Yon DK, Effenberger M, Shin YH, Kim SY, Yang JM, Kim MS, Koyanagi A, Jacob L., Smith L, Yoo IK, Shin JI, and Lee SW
Subjects: BARD Scoring System, Non-alcoholic Fatty Liver Disease, SARS-CoV-2, nutritional and metabolic diseases, COVID-19, Fatty Liver Index, Hepatic Steatosis Index, digestive system diseases
Abstract: BACKGROUND: Evidence for the association between underlying non-alcoholic fatty liver disease (NAFLD), the risk of testing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive, and the clinical consequences of coronavirus disease 2019 (COVID-19) is controversial and scarce. We aimed to investigate the association between the presence of NAFLD and the risk of SARS-CoV-2 infectivity and COVID-19-related outcomes. METHODS: We used the population-based, nationwide cohort in South Korea linked with the general health examination records between January 1, 2018 and July 30, 2020. Data for 212,768 adults older than 20 years who underwent SARS-CoV-2 testing from January 1 to May 30, 2020, were obtained. The presence of NAFLDs was defined using three definitions, namely hepatic steatosis index (HSI), fatty liver index (FLI), and claims-based definition. The outcomes were SARS-CoV-2 test positive, COVID-19 severe illness, and related death. RESULTS: Among 74,244 adults who completed the general health examination, there were 2,251 (3.0%) who were SARS-CoV-2 positive, 438 (0.6%) with severe COVID-19 illness, and 45 (0.06%) COVID-19-related deaths. After exposure-driven propensity score matching, patients with pre-existing HSI-NAFLD, FLI-NAFLD, or claims-based NAFLD had an 11-23% increased risk of SARS-CoV-2 infection (HSI-NAFLD 95% confidence interval [CI], 1-28%; FLI-NAFLD 95% CI, 2-27%; and claims-based NAFLD 95% CI, 2-31%) and a 35-41% increased risk of severe COVID-19 illness (HSI-NAFLD 95% CI, 8-83%; FLI-NAFLD 95% CI, 5-71%; and claims-based NAFLD 95% CI, 1-92%). These associations are more evident as liver fibrosis advanced (based on the BARD scoring system). Similar patterns were observed in several sensitivity analyses including the full-unmatched cohort. CONCLUSION: Patients with pre-existing NAFLDs have a higher likelihood of testing SARS-CoV-2 positive and severe COVID-19 illness; this association was more evident in patients with NAFLD with advanced fibrosis. Our results suggest that extra attention should be given to the management of patients with NAFLD during the COVID-19 pandemic.
Published: 2021

18. Measuring routine childhood vaccination coverage in 204 countries and territories, 1980-2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1

Author: Galles, NC, Liu, PY, Updike, RL, Fullman, N, Nguyen, J, Rolfe, S, Sbarra, AN, Schipp, MF, Marks, A, Abady, GG, Abbas, KM, Abbasi, SW, Abbastabar, H, Abd-Allah, F, Abdoli, A, Abolhassani, H, Abosetugn, AE, Adabi, M, Adamu, AA, Adetokunboh, OO, Adnani, QES, Advani, SM, Afzal, S, Aghamir, SMK, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, S, Ahmed, H, Ahmed, MB, Rashid, TA, Salih, YA, Akalu, Y, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Albano, L, Alemayehu, Y, Alene, KA, Al-Eyadhy, A, Alhassan, RK, Ali, L, Aljunid, SM, Almustanyir, S, Altirkawi, KA, Alvis-Guzman, N, Amu, H, Andrei, CL, Andrei, T, Ansar, A, Ansari-Moghaddam, A, Antonazzo, IC, Antony, B, Arabloo, J, Arab-Zozani, M, Artanti, KD, Arulappan, J, Awan, AT, Awoke, MA, Ayza, MA, Azarian, G, Azzam, AY, Darshan, BB, Babar, Z-U-D, Balakrishnan, S, Banach, M, Bante, SA, Barnighausen, TW, Barqawi, HJ, Barrow, A, Bassat, Q, Bayarmagnai, N, Ramirez, DFB, Bekuma, TT, Belay, HG, Belgaumi, UI, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Boloor, A, Braithwaite, D, Buonsenso, D, Butt, ZA, Camargos, P, Carreras, G, Carvalho, F, Castaneda-Orjuela, CA, Chakinala, RC, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chowdhury, FR, Christopher, DJ, Chu, D-T, Chung, S-C, Cortesi, PA, Costa, VM, Couto, RAS, Dadras, O, Dagnew, AB, Dagnew, B, Dai, X, Dandona, L, Dandona, R, De Neve, J-W, Molla, MD, Derseh, BT, Desai, R, Desta, AA, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Dorostkar, F, Edem, B, Edinur, HA, Eftekharzadeh, S, El Sayed, I, Zaki, MES, Elhadi, M, El-Jaafary, S, Elsharkawy, A, Enany, S, Erkhembayar, R, Esezobor, CI, Eskandarieh, S, Ezeonwumelu, IJ, Ezzikouri, S, Fares, J, Faris, PS, Feleke, BE, Ferede, TY, Fernandes, E, Fernandes, JC, Ferrara, P, Filip, I, Fischer, F, Francis, MR, Fukumoto, T, Gad, MM, Gaidhane, S, Gallus, S, Garg, T, Geberemariyam, BS, Gebre, T, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Gessner, BD, Ghadiri, K, Ghafourifard, M, Ghashghaee, A, Gilani, SA, Glavan, I-R, Glushkova, EV, Golechha, M, Gonfa, KB, Gopalani, SV, Goudarzi, H, Gubari, MIM, Guo, Y, Gupta, VB, Gupta, VK, Gutierrez, RA, Haeuser, E, Halwani, R, Hamidi, S, Hanif, A, Haque, S, Harapan, H, Hargono, A, Hashi, A, Hassan, S, Hassanein, MH, Hassanipour, S, Hassankhani, H, Hay, S, Hayat, K, Hegazy, M, Heidari, G, Hezam, K, Holla, R, Hoque, ME, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hsieh, VC-R, Huang, J, Humayun, A, Hussain, R, Hussein, NR, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Iqbal, U, Irham, LM, Irvani, SSN, Islam, SMS, Ismail, NE, Itumalla, R, Jha, RP, Joukar, F, Kabir, A, Kabir, Z, Kalhor, R, Kamal, Z, Kamande, SM, Kandel, H, Karch, A, Kassahun, G, Kassebaum, NJ, Katoto, PD, Kelkay, B, Kengne, AP, Khader, YS, Khajuria, H, Khalil, IA, Khan, EA, Khan, G, Khan, J, Khan, M, Ab Khan, M, Khang, Y-H, Khoja, AT, Khubchandani, J, Kim, GR, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Korshunov, VA, Kosen, S, Defo, BK, Kulkarni, V, Kumar, A, Kumar, GA, Kumar, N, Kwarteng, A, La Vecchia, C, Lami, FH, Landires, I, Lasrado, S, Lassi, ZS, Lee, H, Lee, YY, Levi, M, Lewycka, S, Li, S, Liu, X, Lobo, SW, Lopukhov, PD, Lozano, R, Saute, RL, Razek, MMAE, Makki, A, Malik, AA, Mansour-Ghanaei, F, Mansournia, MA, Mantovani, LG, Martins-Melo, FR, Matthews, PC, Medina, JRC, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mersha, AG, Mesregah, MK, Mestrovic, T, Miazgowski, B, Milne, GJ, Mirica, A, Mirrakhimov, EM, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohamed, TA, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, A, Mohammed, S, Mohapatra, A, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Al Montasir, A, Moore, CE, Moradi, G, Moradzadeh, R, Moraga, P, Mueller, UO, Munro, SB, Naghavi, M, Naimzada, MD, Naveed, M, Nayak, BP, Negoi, I, Kandel, SN, Nguyen, TH, Nikbakhsh, R, Ningrum, DNA, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Ochir, C, Ogbo, FA, Olagunju, AT, Olakunde, BO, Onwujekwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Padubidri, JR, Pakshir, K, Park, E-C, Kan, FP, Pathak, M, Paudel, R, Pawar, S, Pereira, J, Peres, MFP, Perianayagam, A, Pinheiro, M, Pirestani, M, Podder, V, Polibin, R, Pollok, RCG, Postma, MJ, Pottoo, FH, Rabiee, M, Rabiee, N, Radfar, A, Rafiei, A, Rahimi-Movaghar, V, Rahman, M, Rahmani, AM, Rahmawaty, S, Rajesh, A, Ramshaw, RE, Ranasinghe, P, Rao, CR, Rao, SJ, Rathi, P, Rawaf, DL, Rawaf, S, Renzaho, AMN, Rezaei, N, Rezai, MS, Rios-Blancas, M, Rogowski, ELB, Ronfani, L, Rwegerera, GM, Saad, AM, Sabour, S, Saddik, B, Saeb, MR, Saeed, U, Sahebkar, A, Sahraian, MA, Salam, N, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sanmarchi, F, Santric-Milicevic, MM, Sartorius, B, Sarveazad, A, Sathian, B, Sawhney, M, Saxena, D, Saxena, S, Seidu, A-A, Seylani, A, Shaikh, MA, Shamsizadeh, M, Shetty, PH, Shigematsu, M, Shin, JI, Sidemo, NB, Singh, A, Singh, JA, Sinha, S, Skryabin, VY, Skryabina, AA, Soheili, A, Tadesse, EG, Tamiru, AT, Tan, K-K, Tekalegn, Y, Temsah, M-H, Thakur, B, Thapar, R, Thavamani, A, Tobe-Gai, R, Tohidinik, HR, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathi, M, Tsegaye, B, Tsegaye, GW, Ullah, A, Ullah, S, Unim, B, Vacante, M, Velazquez, DZ, Vo, B, Vollmer, S, Giang, TV, Linh, GV, Waheed, Y, Winkler, AS, Wiysonge, CS, Yigit, V, Yirdaw, BW, Yon, DK, Yonemoto, N, Yu, C, Yuce, D, Yunusa, I, Zamani, M, Zamanian, M, Zewdie, DT, Zhang, Z-J, Zhong, C, Zumla, A, Murray, CJL, Lim, SS, Mosser, JF, Galles, NC, Liu, PY, Updike, RL, Fullman, N, Nguyen, J, Rolfe, S, Sbarra, AN, Schipp, MF, Marks, A, Abady, GG, Abbas, KM, Abbasi, SW, Abbastabar, H, Abd-Allah, F, Abdoli, A, Abolhassani, H, Abosetugn, AE, Adabi, M, Adamu, AA, Adetokunboh, OO, Adnani, QES, Advani, SM, Afzal, S, Aghamir, SMK, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, S, Ahmed, H, Ahmed, MB, Rashid, TA, Salih, YA, Akalu, Y, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Albano, L, Alemayehu, Y, Alene, KA, Al-Eyadhy, A, Alhassan, RK, Ali, L, Aljunid, SM, Almustanyir, S, Altirkawi, KA, Alvis-Guzman, N, Amu, H, Andrei, CL, Andrei, T, Ansar, A, Ansari-Moghaddam, A, Antonazzo, IC, Antony, B, Arabloo, J, Arab-Zozani, M, Artanti, KD, Arulappan, J, Awan, AT, Awoke, MA, Ayza, MA, Azarian, G, Azzam, AY, Darshan, BB, Babar, Z-U-D, Balakrishnan, S, Banach, M, Bante, SA, Barnighausen, TW, Barqawi, HJ, Barrow, A, Bassat, Q, Bayarmagnai, N, Ramirez, DFB, Bekuma, TT, Belay, HG, Belgaumi, UI, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Boloor, A, Braithwaite, D, Buonsenso, D, Butt, ZA, Camargos, P, Carreras, G, Carvalho, F, Castaneda-Orjuela, CA, Chakinala, RC, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chowdhury, FR, Christopher, DJ, Chu, D-T, Chung, S-C, Cortesi, PA, Costa, VM, Couto, RAS, Dadras, O, Dagnew, AB, Dagnew, B, Dai, X, Dandona, L, Dandona, R, De Neve, J-W, Molla, MD, Derseh, BT, Desai, R, Desta, AA, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Dorostkar, F, Edem, B, Edinur, HA, Eftekharzadeh, S, El Sayed, I, Zaki, MES, Elhadi, M, El-Jaafary, S, Elsharkawy, A, Enany, S, Erkhembayar, R, Esezobor, CI, Eskandarieh, S, Ezeonwumelu, IJ, Ezzikouri, S, Fares, J, Faris, PS, Feleke, BE, Ferede, TY, Fernandes, E, Fernandes, JC, Ferrara, P, Filip, I, Fischer, F, Francis, MR, Fukumoto, T, Gad, MM, Gaidhane, S, Gallus, S, Garg, T, Geberemariyam, BS, Gebre, T, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Gessner, BD, Ghadiri, K, Ghafourifard, M, Ghashghaee, A, Gilani, SA, Glavan, I-R, Glushkova, EV, Golechha, M, Gonfa, KB, Gopalani, SV, Goudarzi, H, Gubari, MIM, Guo, Y, Gupta, VB, Gupta, VK, Gutierrez, RA, Haeuser, E, Halwani, R, Hamidi, S, Hanif, A, Haque, S, Harapan, H, Hargono, A, Hashi, A, Hassan, S, Hassanein, MH, Hassanipour, S, Hassankhani, H, Hay, S, Hayat, K, Hegazy, M, Heidari, G, Hezam, K, Holla, R, Hoque, ME, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hsieh, VC-R, Huang, J, Humayun, A, Hussain, R, Hussein, NR, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Iqbal, U, Irham, LM, Irvani, SSN, Islam, SMS, Ismail, NE, Itumalla, R, Jha, RP, Joukar, F, Kabir, A, Kabir, Z, Kalhor, R, Kamal, Z, Kamande, SM, Kandel, H, Karch, A, Kassahun, G, Kassebaum, NJ, Katoto, PD, Kelkay, B, Kengne, AP, Khader, YS, Khajuria, H, Khalil, IA, Khan, EA, Khan, G, Khan, J, Khan, M, Ab Khan, M, Khang, Y-H, Khoja, AT, Khubchandani, J, Kim, GR, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Korshunov, VA, Kosen, S, Defo, BK, Kulkarni, V, Kumar, A, Kumar, GA, Kumar, N, Kwarteng, A, La Vecchia, C, Lami, FH, Landires, I, Lasrado, S, Lassi, ZS, Lee, H, Lee, YY, Levi, M, Lewycka, S, Li, S, Liu, X, Lobo, SW, Lopukhov, PD, Lozano, R, Saute, RL, Razek, MMAE, Makki, A, Malik, AA, Mansour-Ghanaei, F, Mansournia, MA, Mantovani, LG, Martins-Melo, FR, Matthews, PC, Medina, JRC, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, TJ, Mersha, AG, Mesregah, MK, Mestrovic, T, Miazgowski, B, Milne, GJ, Mirica, A, Mirrakhimov, EM, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohamed, TA, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammed, A, Mohammed, S, Mohapatra, A, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Al Montasir, A, Moore, CE, Moradi, G, Moradzadeh, R, Moraga, P, Mueller, UO, Munro, SB, Naghavi, M, Naimzada, MD, Naveed, M, Nayak, BP, Negoi, I, Kandel, SN, Nguyen, TH, Nikbakhsh, R, Ningrum, DNA, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Ochir, C, Ogbo, FA, Olagunju, AT, Olakunde, BO, Onwujekwe, OE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Padubidri, JR, Pakshir, K, Park, E-C, Kan, FP, Pathak, M, Paudel, R, Pawar, S, Pereira, J, Peres, MFP, Perianayagam, A, Pinheiro, M, Pirestani, M, Podder, V, Polibin, R, Pollok, RCG, Postma, MJ, Pottoo, FH, Rabiee, M, Rabiee, N, Radfar, A, Rafiei, A, 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Yigit, V, Yirdaw, BW, Yon, DK, Yonemoto, N, Yu, C, Yuce, D, Yunusa, I, Zamani, M, Zamanian, M, Zewdie, DT, Zhang, Z-J, Zhong, C, Zumla, A, Murray, CJL, Lim, SS, and Mosser, JF
Abstract: BACKGROUND: Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, and to track progress towards targets set by the Global Vaccine Action Plan (GVAP) and Immunization Agenda 2030. Robust estimates of routine vaccine coverage are needed to identify past successes and persistent vulnerabilities. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis of global, regional, and national vaccine coverage trends using a statistical framework, by vaccine and over time. METHODS: For this analysis we collated 55 326 country-specific, cohort-specific, year-specific, vaccine-specific, and dose-specific observations of routine childhood vaccination coverage between 1980 and 2019. Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. We analysed global and regional trends in coverage and numbers of zero-dose children (defined as those who never received a diphtheria-tetanus-pertussis [DTP] vaccine dose), progress towards GVAP targets, and the relationship between vaccine coverage and sociodemographic development. FINDINGS: By 2019, global coverage of third-dose DTP (DTP3; 81·6% [95% uncertainty interval 80·4-82·7]) more than doubled from levels estimated in 1980 (39·9% [37·5-42·1]), as did global coverage of the first-dose measles-containing vaccine (MCV1; from 38·5% [35·4-41·3] in 1980 to 83·6% [82·3-84·8] in 2019). Third-dose polio vaccine (Pol3) coverage also increased, from 42·6% (41·4-44·1) in 1980 to 79·8% (78·4-81·1) in 2019, and global coverage of newer vaccines increased rapidly between 2000 and 2019. The global number of zero-dose children fell by nearly 75% between 1980 and 2019
Published: 2021

19. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Author: Dana Bryazka, Marissa B Reitsma, Max G Griswold, Kalkidan Hassen Abate, Cristiana Abbafati, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Amir Abdoli, Mohammad Abdollahi, Abu Yousuf Md Abdullah, E S Abhilash, Eman Abu-Gharbieh, Juan Manuel Acuna, Giovanni Addolorato, Oladimeji M Adebayo, Victor Adekanmbi, Kishor Adhikari, Sangeet Adhikari, Qorinah Estiningtyas Sakilah Adnani, Saira Afzal, Wubetu Yimam Agegnehu, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Sajjad Ahmad, Tauseef Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Tarik Ahmed Rashid, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Md Zakiul Alam, Dejene Tsegaye Alem, Kefyalew Addis Alene, Yousef Alimohamadi, Atiyeh Alizadeh, Kasim Allel, Jordi Alonso, Saba Alvand, Nelson Alvis-Guzman, Firehiwot Amare, Edward Kwabena Ameyaw, Sohrab Amiri, Robert Ancuceanu, Jason A Anderson, Catalina Liliana Andrei, Tudorel Andrei, Jalal Arabloo, Muhammad Arshad, Anton A Artamonov, Zahra Aryan, Malke Asaad, Mulusew A Asemahagn, Thomas Astell-Burt, Seyyed Shamsadin Athari, Desta Debalkie Atnafu, Prince Atorkey, Alok Atreya, Floriane Ausloos, Marcel Ausloos, Getinet Ayano, Martin Amogre ayanore Ayanore, Olatunde O Ayinde, Jose L Ayuso-Mateos, Sina Azadnajafabad, Melkalem Mamuye Azanaw, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ahmed Y Azzam, Ashish D Badiye, Nasser Bagheri, Sara Bagherieh, Mohan Bairwa, Shankar M Bakkannavar, Ravleen Kaur Bakshi, Awraris Hailu Balchut/Bilchut, Till Winfried Bärnighausen, Fabio Barra, Amadou Barrow, Pritish Baskaran, Luis Belo, Derrick A Bennett, Isabela M Benseñor, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Ashish Bhalla, Nikha Bhardwaj, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Bagas Suryo Bintoro, Elena A Elena Blokhina, Belay Boda Abule Bodicha, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Hermann Brenner, Nikolay Ivanovich Briko, Andre R Brunoni, Zahid A Butt, Chao Cao, Yin Cao, Rosario Cárdenas, Andre F Carvalho, Márcia Carvalho, Joao Mauricio Castaldelli-Maia, Giulio Castelpietra, Luis F S Castro-de-Araujo, Maria Sofia Cattaruzza, Promit Ananyo Chakraborty, Jaykaran Charan, Vijay Kumar Chattu, Akhilanand Chaurasia, Nicolas Cherbuin, Dinh-Toi Chu, Nandita Chudal, Sheng-Chia Chung, Chuchu Churko, Liliana G Ciobanu, Massimo Cirillo, Rafael M Claro, Simona Costanzo, Richard G Cowden, Michael H Criqui, Natália Cruz-Martins, Garland T Culbreth, Berihun Assefa Dachew, Omid Dadras, Xiaochen Dai, Giovanni Damiani, Lalit Dandona, Rakhi Dandona, Beniam Darge Daniel, Anna Danielewicz, Jiregna Darega Gela, Kairat Davletov, Jacyra Azevedo Paiva de Araujo, Antonio Reis de Sá-Junior, Sisay Abebe Debela, Azizallah Dehghan, Andreas K Demetriades, Meseret Derbew Molla, Rupak Desai, Abebaw Alemayehu Desta, Diana Dias da Silva, Daniel Diaz, Lankamo Ena Digesa, Mengistie Diress, Milad Dodangeh, Deepa Dongarwar, Fariba Dorostkar, Haneil Larson Dsouza, Bereket Duko, Bruce B Duncan, Kristina Edvardsson, Michael Ekholuenetale, Frank J Elgar, Muhammed Elhadi, Mohamed A Elmonem, Aman Yesuf Endries, Sharareh Eskandarieh, Azin Etemadimanesh, Adeniyi Francis Fagbamigbe, Ildar Ravisovich Fakhradiyev, Fatemeh Farahmand, Carla Sofia e Sá Farinha, Andre Faro, Farshad Farzadfar, Ali Fatehizadeh, Nelsensius Klau Fauk, Valery L Feigin, Rachel Feldman, Xiaoqi Feng, Zinabu Fentaw, Simone Ferrero, Lorenzo Ferro Desideri, Irina Filip, Florian Fischer, Joel Msafiri Francis, Richard Charles Franklin, Peter Andras Gaal, Mohamed M Gad, Silvano Gallus, Fabio Galvano, Balasankar Ganesan, Tushar Garg, Mesfin Gebrehiwot Damtew Gebrehiwot, Teferi Gebru Gebremeskel, Mathewos Alemu Gebremichael, Tadele Regasa Gemechu, Lemma Getacher, Motuma Erena Getachew, Abera Getachew Obsa, Asmare Getie, Amir Ghaderi, Mansour Ghafourifard, Alireza Ghajar, Seyyed-Hadi Ghamari, Lilian A Ghandour, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Sherief Ghozy, Franklin N Glozah, Ekaterina Vladimirovna Glushkova, Justyna Godos, Amit Goel, Salime Goharinezhad, Mahaveer Golechha, Pouya Goleij, Mohamad Golitaleb, Felix Greaves, Michal Grivna, Giuseppe Grosso, Temesgen Worku Gudayu, Bhawna Gupta, Rajeev Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Nima Hafezi-Nejad, Arvin Haj-Mirzaian, Brian J Hall, Rabih Halwani, Tiilahun Beyene Handiso, Graeme J Hankey, Sanam Hariri, Josep Maria Haro, Ahmed I Hasaballah, Hossein Hassanian-Moghaddam, Simon I Hay, Khezar Hayat, Golnaz Heidari, Mohammad Heidari, Delia Hendrie, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Mbuzeleni Mbuzeleni Hlongwa, Ramesh Holla, Md Mahbub Hossain, Sahadat Hossain, Seyed Kianoosh Hosseini, Mehdi hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Guoqing Hu, Junjie Huang, Salman Hussain, Segun Emmanuel Ibitoye, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Lalu Muhammad Irham, M Mofizul Islam, Rakibul M Islam, Sheikh Mohammed Shariful Islam, Hiroyasu Iso, Ramaiah Itumalla, Masao Iwagami, Roxana Jabbarinejad, Louis Jacob, 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Lopukhov, Stefan Lorkowski, Rafael Lozano, Giancarlo Lucchetti, Farzan Madadizadeh, Áurea M Madureira-Carvalho, Soleiman Mahjoub, Ata Mahmoodpoor, Rashidul Alam Mahumud, Alaa Makki, Mohammad-Reza Malekpour, Narayana Manjunatha, Borhan Mansouri, Mohammad Ali Mansournia, Jose Martinez-Raga, Francisco A Martinez-Villa, Richard Matzopoulos, Pallab K Maulik, Mahsa Mayeli, John J McGrath, Jitendra Kumar Meena, Entezar Mehrabi Nasab, Ritesh G Menezes, Gert B M Mensink, Alexios-Fotios A Mentis, Atte Meretoja, Bedasa Taye Merga, Tomislav Mestrovic, Junmei Miao Jonasson, Bartosz Miazgowski, Ana Carolina Micheletti Gomide Nogueira de Sá, Ted R Miller, GK Mini, Andreea Mirica, Antonio Mirijello, Seyyedmohammadsadeq Mirmoeeni, Erkin M Mirrakhimov, Sanjeev Misra, Babak Moazen, Maryam Mobarakabadi, Marcello Moccia, Yousef Mohammad, Esmaeil Mohammadi, Abdollah Mohammadian-Hafshejani, Teroj Abdulrahman Mohammed, Nagabhishek Moka, Ali H Mokdad, Sara Momtazmanesh, Yousef Moradi, Ebrahim Mostafavi, Sumaira Mubarik, Erin C Mullany, Beemnet Tekabe Mulugeta, Efrén Murillo-Zamora, Christopher J L Murray, Julius C Mwita, Mohsen Naghavi, Mukhammad David Naimzada, Vinay Nangia, Biswa Prakash Nayak, Ionut Negoi, Ruxandra Irina Negoi, Seyed Aria Nejadghaderi, Samata Nepal, Sudan Prasad Prasad Neupane, Sandhya Neupane Kandel, Yeshambel T Nigatu, Ali Nowroozi, Khan M Nuruzzaman, Chimezie Igwegbe Nzoputam, Kehinde O Obamiro, Felix Akpojene Ogbo, Ayodipupo Sikiru Oguntade, Hassan Okati-Aliabad, Babayemi Oluwaseun Olakunde, Gláucia Maria Moraes Oliveira, Ahmed Omar Bali, Emad Omer, Doris V Ortega-Altamirano, Adrian Otoiu, Stanislav S Otstavnov, Bilcha Oumer, Mahesh P A, Alicia Padron-Monedero, Raffaele Palladino, Adrian Pana, Songhomitra Panda-Jonas, Anamika Pandey, Ashok Pandey, Shahina Pardhan, Tarang Parekh, Eun-Kee Park, Charles D H Parry, Fatemeh Pashazadeh Kan, Jay Patel, Siddhartha Pati, George C Patton, Uttam Paudel, Shrikant Pawar, Amy E Peden, Ionela-Roxana Petcu, Michael R Phillips, 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Abdul-Aziz Seidu, Nachimuthu Senthil Kumar, SeyedAhmad SeyedAlinaghi, Allen Seylani, Feng Sha, Sarvenaz Shahin, Fariba Shahraki-Sanavi, Shayan Shahrokhi, Masood Ali Shaikh, Elaheh Shaker, Murad Ziyaudinovich Shakhmardanov, Mehran Shams-Beyranvand, Sara Sheikhbahaei, Rahim Ali Sheikhi, Adithi Shetty, Jeevan K Shetty, Damtew Solomon Shiferaw, Mika Shigematsu, Rahman Shiri, Reza Shirkoohi, K M Shivakumar, Velizar Shivarov, Parnian Shobeiri, Roman Shrestha, Negussie Boti Sidemo, Inga Dora Sigfusdottir, Diego Augusto Santos Silva, Natacha Torres da Silva, Jasvinder A Singh, Surjit Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, David A Sleet, Marco Solmi, YONATAN SOLOMON, Suhang Song, Yimeng Song, Reed J D Sorensen, Sergey Soshnikov, Ireneous N Soyiri, Dan J Stein, Sonu Hangma Subba, Miklós Szócska, Rafael Tabarés-Seisdedos, Takahiro Tabuchi, Majid Taheri, Ker-Kan Tan, Minale Tareke, Elvis Enowbeyang Tarkang, Gebremaryam Temesgen, Worku Animaw Temesgen, Mohamad-Hani Temsah, Kavumpurathu Raman Thankappan, Rekha Thapar, Nikhil Kenny Thomas, Chalachew Tiruneh, Jovana Todorovic, Marco Torrado, Mathilde Touvier, Marcos Roberto Tovani-Palone, Mai Thi Ngoc Tran, Sergi Trias-Llimós, Jaya Prasad Tripathy, Alireza Vakilian, Rohollah Valizadeh, Mehdi Varmaghani, Shoban Babu Varthya, Tommi Juhani Vasankari, Theo Vos, Birhanu Wagaye, Yasir Waheed, Mandaras Tariku Walde, Cong Wang, Yanzhong Wang, Yuan-Pang Wang, Ronny Westerman, Nuwan Darshana Wickramasinghe, Abate Dargie Wubetu, Suowen Xu, Kazumasa Yamagishi, Lin Yang, Gesila Endashaw E Yesera, Arzu Yigit, Vahit Yiğit, Ayenew Engida Ayenew Engida Yimaw, Dong Keon Yon, Naohiro Yonemoto, Chuanhua Yu, Siddhesh Zadey, Mazyar Zahir, Iman Zare, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zmaili, Yves Miel H Zuniga, Emmanuela Gakidou, University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Department of Public Health, University of Helsinki, Hjelt Institute (-2014), Helsinki Inequality Initiative (INEQ), Clinicum, Helsinki University Hospital Area, Bill & Melinda Gates Foundation, King Edward Medical University (Pakistán), Alexander von Humboldt Foundation, University of Oxford (Reino Unido), Medical Research Council (Reino Unido), NIH - National Institute of Mental Health (NIMH) (Estados Unidos), Canada Research Chairs, National Health and Medical Research Council (Australia), National Heart Foundation of Australia, Ministry of Education, Science and Technological Development (Serbia), Wellcome Trust, NIH - National Institute on Aging (NIA) (Estados Unidos), Finlands Akademi (Finlandia), Panjab University (India), Federal Ministry of Education & Research (Alemania), National Council for Scientific and Technological Development (Brasil), Danish National Research Foundation, Queensland Centre for Mental Health Research (Australia), South African Medical Research Council, National Natural Science Foundation of China, Charles Sturt University (Australia), Ain Shams University (Egipto), Mizoram University (India), Kasturba Medical College (India), Manipal Academy of Higher Education (India), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Ministerio de Ciencia e Innovación (España), Collaborators, GBD 2020 Alcohol, Bryazka, Dana, Reitsma, Marissa B, Griswold, Max G, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdoli, Amir, Abdollahi, Mohammad, Abdullah, Abu Yousuf Md, Abhilash, E S, Abu-Gharbieh, Eman, Acuna, Juan Manuel, Addolorato, Giovanni, Adebayo, Oladimeji M, Adekanmbi, Victor, Adhikari, Kishor, Adhikari, Sangeet, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Agegnehu, Wubetu Yimam, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed Rashid, Tarik, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alam, Md Zakiul, Alem, Dejene Tsegaye, Alene, Kefyalew Addi, Alimohamadi, Yousef, Alizadeh, Atiyeh, Allel, Kasim, Alonso, Jordi, Alvand, Saba, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Amiri, Sohrab, Ancuceanu, Robert, Anderson, Jason A, Andrei, Catalina Liliana, Andrei, Tudorel, Arabloo, Jalal, Arshad, Muhammad, Artamonov, Anton A, Aryan, Zahra, Asaad, Malke, Asemahagn, Mulusew A, Astell-Burt, Thoma, Athari, Seyyed Shamsadin, Atnafu, Desta Debalkie, Atorkey, Prince, Atreya, Alok, Ausloos, Floriane, Ausloos, Marcel, Ayano, Getinet, Ayanore, Martin Amogre ayanore, Ayinde, Olatunde O, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azzam, Ahmed Y, Badiye, Ashish D, Bagheri, Nasser, Bagherieh, Sara, Bairwa, Mohan, Bakkannavar, Shankar M, Bakshi, Ravleen Kaur, Balchut/bilchut, Awraris Hailu, Bärnighausen, Till Winfried, 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Subjects: Adult, Male, Alcohol Drinking, CONTROL POLICIES, adult, Child, Preschool, Female, Geography, Global Burden of Disease, Global Health, Humans, Middle Aged, Quality-Adjusted Life Years, Risk Factors, NDAS, ALL-CAUSE, GUIDELINES, GBD 2020 Alcohol Collaborators, COST-EFFECTIVENESS, Medicine, General & Internal, DRINKING, SDG 3 - Good Health and Well-being, RA0421, General & Internal Medicine, Quality-Adjusted Life Year, RA0421 Public health. Hygiene. Preventive Medicine, DRINKERS, Child, Preschool, 11 Medical and Health Sciences, METAANALYSIS, MCC, Science & Technology, global burden of disease, Risk Factor, General Medicine, CANCER, alcohol drinking, AC, 3121 General medicine, internal medicine and other clinical medicine, REDUCED MORTALITY, Life Sciences & Biomedicine, Human
Abstract: Background: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. Methods: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. Findings: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. Interpretation: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. Research reported in this publication was supported by the Bill & Melinda Gates Foundation. S Afzal acknowledges the support for intellectual contributions to this manuscript by the Department of Community Medicine and Epidemiology at King Edward Medical University, Lahore, Pakistan. T Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. L Belo acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. D Bennett is supported by the UK Medical Research Council Population Health Research Unit at the University of Oxford (Oxford, UK). M Carvalho acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. L Castro-de-Araujo was funded by the Medical Research Council (UK), Grant no. MR/T03355X/1 and by the National Institute of Mental Health Grant no. R01MH128911. FJ Elgar is supported by the Canada Research Chairs program. F Greaves acknowledges support from the NIHR Applied Research Collaboration for NW London. V K Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. VB Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. C Herteliu is partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is partially supported by a grant from the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported by the Operational Programme Research, Development and Education –Project, Postdoc2MUNI “(No. CZ.02.2.69/0.0/0.0/18_053/0016952). S M S Islam is funded by the National Health and Medical Research Council and received funding from the National Heart Foundation of Australia. The Serbian part of this GBD-related contribution has been co-financed through Grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. M Kivimaki was supported by the Wellcome Trust (221854/Z/20/Z), the UK Medical Research Council (MR/S011676/1), the US National Institute on Aging (R01AG056477), and the Academy of Finland (350426). K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. B Lacey acknowledges support from the UK Biobank, funded largely by the UK Medical Research Council and Wellcome. S Lorkowski acknowledges institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig (Germany; German Federal Ministry of Education and Research; grant agreement number 01EA1808A). G Lucchetti received a productivity scholarship from the Brazilian National Council for Scientific and Technological Development — CNPq (Level 1D). J McGrath was supported by the Danish National Research Foundation (Niels Bohr Professor). J McGrath is employed by the Queensland Centre for Mental Health Research (Australia), which receives support from the Queensland Health Department. C Parry acknowleges the South African Medical Research Council. A Peden is supported by a National Health and Medical Research Council Emerging Leadership Fellowship (Grant ID: APP2009306). M R Phillips was supported in part by the Global Alliance for Chronic Diseases - National Natural Science Foundation of China (NSFC. No. 81761128031). M Pinheiro acknowledges FCT for funding through program DL 57/2016 – Norma transitória. A Rahman acknowledges the support from the Data Science Research Unit in Charles Sturt University (Bathurst, NSW, Australia). U Saeed would like to acknowledge the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges support from Ain Shams University (Cairo, Egypt) and the Egyptian Fulbright Mission Program. N Senthil Kumar acknowledges the DBT, New Delhi sponsored Advanced State Level Biotech Hub (BT/NER/143/SP44475/2021), Mizoram University (Aizawl, Mizoram, India) for facilitating this work. F Sha is supported by the Shenzhen Science and Technology Program (Grant No. KQTD20190929172835662). A Shetty acknowledges Kasturba Medical College (Mangalore, India) and Manipal Academy of Higher Education (Manipal, India) for all the academic support. R Shrestha acknowledges a career development award from the National Institutes of Health (K01DA051346). D Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)-Finance Code 001 and is supported in part by CNPq - Brazil (309589/2021-5). D Sleet acknowledges partial support from Veritas Management Group, Inc and The Bizzell Group, LLC. S Trias-Llimós acknowledges research funding from the Juan de la Cierva-Formación program of the Spanish Ministry of Science and Innovation (FJC-2019-039314-I). Sí
Published: 2022

20. Sex-Specific Trends in the Prevalence of Osteoarthritis and Rheumatoid Arthritis From 2005 to 2021 in South Korea: Nationwide Cross-Sectional Study.

Author: Park S, Son Y, Lee H, Lee H, Lee J, Kang J, Smith L, Rahmati M, Dragioti E, Tully MA, Fond G, Boyer L, Lee JH, Pizzol D, Park J, Woo S, and Yon DK
Subjects: Humans, Republic of Korea epidemiology, Male, Female, Prevalence, Cross-Sectional Studies, Middle Aged, Aged, Adult, Sex Factors, Nutrition Surveys, Young Adult, Osteoarthritis epidemiology, Arthritis, Rheumatoid epidemiology, COVID-19 epidemiology
Abstract: Background: Osteoarthritis and rheumatoid arthritis (RA) are prevalent chronic joint disorders, with prevalence rates varying by sex. However, few studies have comprehensively documented the factors contributing to the sex-specific prevalence of osteoarthritis and RA, including sociological factors and the impact of the COVID-19 pandemic., Objective: This study aims to identify long-term trends in the sex-specific prevalence of osteoarthritis and RA from 2005 to 2021 while examining the factors that serve as vulnerabilities specific to each sex within the context of the COVID-19 pandemic., Methods: Data were collected from a nationally representative sample of 110,225 individuals through the Korea National Health and Nutrition Examination Survey from 2005 to 2021. The study included patients aged 19 years and older diagnosed with osteoarthritis or RA in South Korea. Data were analyzed using weighted trends to accurately represent the sample population, with a 95% CI. Weighted logistic and regression models were used to identify vulnerable groups at risk of osteoarthritis or RA during the pandemic to assess sex-specific trends., Results: In total, 110,225 individuals (n=48,410, 43.92% male participants) were analyzed from 2005 to 2021, with prevalence rates remaining stable over time and higher in female than in male participants. Notably, during the pandemic, female participants aged 60 years and older exhibited a prevalence of osteoarthritis that was 4.92 times greater than male participants and a prevalence of RA that was 6.44 times greater (osteoarthritis: prevalence ratio [PR] 69.78, 95% CI 41.66-116.88; RA: PR 17.27, 95% CI 8.75-34.07). In terms of osteoarthritis, male participants did not show a significant association with BMI (PR 1.40, 95% CI 1.21-1.61; P=.47), whereas female participants exhibited a significantly higher vulnerability within the obese group (PR 1.68, 95% CI 1.55-1.83; P<.001). Regarding RA, lower education levels were associated with increased vulnerability, with male participants showing a greater risk than female participants (male participants: PR 2.29, 95% CI 1.61-3.27 and female participants: PR 1.50, 95% CI 1.23-1.84)., Conclusions: This study reveals that women in South Korea have a higher prevalence of osteoarthritis and RA than men. Understanding these sex-specific trends and identifying vulnerability factors can enhance preventive efforts and patient care., (©Seoyoung Park, Yejun Son, Hyeri Lee, Hayeon Lee, Jinseok Lee, Jiseung Kang, Lee Smith, Masoud Rahmati, Elena Dragioti, Mark A Tully, Guillaume Fond, Laurent Boyer, Jun Hyuk Lee, Damiano Pizzol, Jaeyu Park, Selin Woo, Dong Keon Yon. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 01.11.2024.)
Published: 2024
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21. Associations between vision impairment and eye diseases with dementia, dementia subtypes and cognitive impairment: An umbrella review.

Author: Rahmati M, Smith L, Lee H, Boyer L, Fond G, Yon DK, Lee H, Soysal P, Udeh R, Dolja-Gore X, McEVoy M, Piyasena MP, and Pardhan S
Subjects: Humans, Dementia epidemiology, Dementia etiology, Cognitive Dysfunction epidemiology, Cognitive Dysfunction etiology, Vision Disorders epidemiology, Eye Diseases epidemiology, Eye Diseases complications
Abstract: Vision impairment (VI) and eye diseases such as age-related macular degeneration (AMD), diabetic retinopathy (DR), glaucoma and cataract have been reported to be associated with cognitive impairment and dementia, however, to date, very little attempt has been made to collate and synthesizes such literature. Therefore, the aim of this umbrella review is to systematically assesses the credibility and certainty of evidence of associations between vision impairment (VI) and eye diseases with cognitive impairment, dementia and dementia subtypes. We conducted an umbrella review of meta-analyses by screening articles in any language in PubMed, MEDLINE (Ovid), EMBASE, Web of Science, Cochrane CENTRAL and CDSR published from database inception up to May 30, 2024. Quality appraisal of each included original meta-analysis was assessed using A Measurement Tool for Assessing Systematic Reviews 2 (AMSTAR2). The certainty of the evidence was based on statistical significance, study size, heterogeneity, small study effects, prediction intervals (PI), and bias. We followed an a-priori protocol registered with PROSPERO (CRD42024564249). We identified 13 meta-analyses (AMSTAR 2; high accuracy of the findings 1, moderate 10, and low 2) that included 232 original articles based on 99,337,354 participants. Overall, no evidence was highly suggestive or convincing. Suggestive evidence was found for associations between cataract and dementia (equivalent odds ratio [eOR] 1.20, 95 %CI, 1.16-1.25), cataract and Alzheimer's disease (eOR 1.21, 95 %CI, 1.15-1.28), and AMD and Alzheimer's disease (eOR 1.27, 95 %CI, 1.27-1.27). Weak evidence was found for associations between VI and dementia (eOR 1.50, 95 %CI, 1.23-1.84), DR and dementia (eOR 1.33, 95 %CI, 1.17-1.50), cataract and vascular dementia (eOR 1.26, 95 %CI, 1.09-1.45), VI identified by cross-sectional studies and cognitive impairment (eOR 2.37, 95 %CI, 2.31-2.44), and VI identified by objective measures and cognitive impairment (eOR 1.56, 95 %CI, 1.12-2.18). The observed suggestive level of evidence for the relationship between eye disease and dementia (as well as dementia subtypes) suggests that policy and interventions to aid in the prevention and management of eye disease may also aid in the prevention of dementia syndrome. Where the level of evidence is weak, further studies are needed with stronger methodological approaches., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2024
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22. Global burden of ADHD medication-associated cardiovascular disease, 1967-2023: A comparative analysis using the WHO pharmacovigilance database.

Author: Cho H, Lee K, Jeong YD, Udeh R, Acharya KP, Kang J, Boyer L, Fond G, Lee H, Park J, Kim HJ, Hwang J, Hwang HJ, and Yon DK
Subjects: Humans, Male, Female, Adult, Middle Aged, Young Adult, Adolescent, Child, Child, Preschool, Aged, Global Health statistics & numerical data, Infant, Attention Deficit Disorder with Hyperactivity drug therapy, Attention Deficit Disorder with Hyperactivity epidemiology, Pharmacovigilance, Cardiovascular Diseases epidemiology, Cardiovascular Diseases chemically induced, World Health Organization, Central Nervous System Stimulants adverse effects, Databases, Factual
Abstract: Background: Despite the widespread use of attention-deficit hyperactivity disorder (ADHD) medications and their known sympathomimetic effects on the cardiovascular system, cardiovascular risk assessment of these medications using comprehensive global data is limited. This study investigated the association between individual ADHD medications and cardiovascular disease (CVD) using global pharmacovigilance data., Methods: Reports from the World Health Organization international pharmacovigilance database were utilized (1967-2023; total reports, n=131,255,418). Reporting odds ratios (ROR), and information components (IC) were calculated to evaluate the association between each medication and specific CVDs., Results: We identified 13,344 CVD cases related to ADHD medications out of 146,489 cases of all reports on ADHD medications. Cumulative reports on ADHD medications have shown a steady increase, notably in adults since 2010. ADHD medications were associated with a higher risk of CVD overall (ROR [95 % CI], 1.60 [1.58-1.63]; IC [IC 0.25 ], 0.63 [0.60]), with a higher association observed in females than in males. Among specific CVDs, all drugs were associated with an increased risk of torsade de pointes/QT prolongation, cardiomyopathy, and myocardial infarction. Conversely, heart failure, stroke, and cardiac death/shock were exclusively associated with amphetamines. Lisdexamfetamine showed a weaker association with all CVDs compared to amphetamines, and methylphenidate exhibited the lowest overall association with CVD. Atomoxetine had the second-highest association with torsade de pointes/QT prolongation., Conclusions: The associations between CVDs and ADHD medications vary, with amphetamines posing a higher risk, while lisdexamfetamine and methylphenidate exhibit better safety profiles., Competing Interests: Declaration of Competing Interest All the authors declared no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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23. Slow gut transit increases the risk of Alzheimer's disease: An integrated study of the bi-national cohort in South Korea and Japan and Alzheimer's disease model mice.

Author: Kang J, Lee M, Park M, Lee J, Lee S, Park J, Koyanagi A, Smith L, Nehs CJ, Yon DK, and Kim T
Subjects: Animals, Mice, Republic of Korea, Japan, Humans, Female, Male, Aged, Cohort Studies, Loperamide, Risk Factors, Middle Aged, Alzheimer Disease metabolism, Disease Models, Animal, Mice, Transgenic, Gastrointestinal Transit, Constipation, Amyloid beta-Peptides metabolism
Abstract: Introduction: Although the association between Alzheimer's disease (AD) and constipation is controversial, its causality and underlying mechanisms remain unknown., Objectives: To investigate the potential association between slow gut transit and AD using epidemiological data and a murine model., Methods: We conducted a bi-national cohort study in South Korea (discovery cohort, N=3,130,193) and Japan (validation cohort, N=4,379,285) during the pre-observation period to determine the previous diagnostic history (2009-2010) and the follow-up period (2011-2021). To evaluate the causality, we induced slow gut transit using loperamide in 5xFAD transgenic mice. Changes in amyloid-beta (Aβ) and other markers were examined using ELISA, qRT-PCR, RNA-seq, and behavioral tests., Results: Constipation was associated with an increased risk of AD in the discovery cohort (hazard ratio, 2.04; 95% confidence interval [CI], 2.01-2.07) and the validation cohort (hazard ratio; 2.82; 95% CI, 2.61-3.05). We found that loperamide induced slower gut transit in 5xFAD mice, increased Aβ and microglia levels in the brain, increased transcription of genes related to norepinephrine secretion and immune responses, and decreased the transcription of defense against bacteria in the colonic tissue., Conclusion: Impaired gut transit may contribute to AD pathogenesis via the gut-brain axis, thus suggesting a cyclical relationship between intestinal barrier disruption and Aβ accumulation in the brain. We propose that gut transit or motility may be a modifiable lifestyle factor in the prevention of AD, and further clinical investigations are warranted., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Production and hosting by Elsevier B.V.)
Published: 2024
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24. Association between glucagon-like peptide-1 receptor agonists and risk of suicidality: A comprehensive analysis of the global pharmacovigilance database.

Author: Kim TH, Lee K, Park S, Cho H, Park J, Jo H, Son Y, Kim S, Kang J, Smith L, Rahmati M, Fond G, Boyer L, Pizzol D, Lee H, Rhee SY, Hwang J, Sang H, and Yon DK
Subjects: Humans, Obesity epidemiology, Diabetes Mellitus, Type 2 drug therapy, Diabetes Mellitus, Type 2 epidemiology, Female, Male, Glucagon-Like Peptide-1 Receptor Agonists, Pharmacovigilance, Glucagon-Like Peptide-1 Receptor agonists, Adverse Drug Reaction Reporting Systems statistics & numerical data, Suicide statistics & numerical data, Hypoglycemic Agents adverse effects, Hypoglycemic Agents therapeutic use, Databases, Factual
Abstract: Aim: To evaluate the potential association between suicidality and glucagon-like peptide-1 receptor agonists (GLP-1RAs), as well as other medications used for obesity and diabetes, using comprehensive global data., Materials and Methods: This study utilized the World Health Organization's pharmacovigilance database, encompassing adverse drug reaction reports from 1967 to 2023, from 170 countries (total reports, N = 131 255 418). We present the reported odds ratios (RORs) with 95% confidence intervals (CIs) and information component (IC) with IC 025 regarding the association between GLP-1RA use and suicidality., Results: Although reports of GLP-1RA-associated suicidality increased gradually from 2005 to 2023 (n = 332), no evidence of an association was observed (ROR 0.15 [95% CI 0.13 to 0.16]; IC -2.77 [IC 025 -2.95]). The lack of evidence of an association persisted regardless of whether GLP-1RAs were used for diabetes treatment (ROR 0.13 [95% CI 0.11 to 0.14]; IC -2.95 [IC 025 -3.14]) or obesity treatment (ROR 0.44 [95% CI 0.34 to 0.58]; IC -1.16 [IC 025 -1.62]). However, an association was found between suicidality and other diabetes medications excluding GLP-1RAs (ROR 1.13 [95% CI 1.10 to 1.15]; IC 0.17 [IC 025 0.13]). Similarly, the potential association with suicidality was observed in medications used to treat obesity excluding GLP-1RAs (ROR 1.08 [95% CI 1.01 to 1.14]; IC 0.10 [IC 025 0.01])., Conclusions: The suspected association between GLP-1RA use and suicidality, as raised by the European Medicines Agency, was not found in our global analysis. This indicates that the sporadic reports of GLP-1RA-associated suicidality are likely influenced by factors such as comorbidities present in the GLP-1RA user population., (© 2024 John Wiley & Sons Ltd.)
Published: 2024
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25. Correspondence on editorial regarding "Understanding the impact on digestive disease in the post-COVID-19 condition".

Author: Lee K, Park J, Lee J, Lee H, Ha Y, and Yon DK
Published: 2024
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26. The connection between anemia and limitations in daily activities among older males: the critical role of dynapenia.

Author: Karismaz A, Soysal P, Eren R, Serin I, Aslan C, Rahmati M, Yon DK, and Smith L
Subjects: Humans, Male, Aged, Cross-Sectional Studies, Aged, 80 and over, Geriatric Assessment, Comorbidity, Depression epidemiology, Prevalence, Activities of Daily Living, Anemia epidemiology, Hand Strength physiology
Abstract: Aim: The aim of the present study was to examine the relationship between anemia and basic and instrumental activities of daily living in older male patients., Methods: A total of 223 older males attending one geriatric outpatient clinic were included in this cross-sectional study. Anemia was defined as a hemoglobin level below 13 g/dL. Patients' demographic characteristics, comorbidities, and comprehensive geriatric assessment parameters were also recorded. Handgrip strength of < 27 kg for males was accepted as dynapenia. Basic Activities of Daily Living (BADL) and Instrumental Activities of Daily Living (IADL) questionnaires were used to evaluate functional capacity., Results: The mean age (standard deviation) of the participants was 80.17 (7.69) years. The prevalence of patients with anemia was 43.9%. There was differences between anemic and non-anemic groups in terms of presence of diabetes mellitus (DM), congestive heart failure (CHF), chronic kidney disease (CKD), malnutrition, dynapenia, geriatric depression, BADL and IADL scores (all p < 0.05). In multivariate analysis, after adjusting for all confounding variables except for dynapenia, patients with anemia were associated with reduced BADL and IADL (all p < 0.05). After adjusting for all confounding variables including dynapenia, deterioration in total BADL and IADL scores did not remain significant in the anemic group compared to the non-anemic group (p > 0.05)., Conclusion: Close to one in two older outpatient men had anemia. Anemic men had a higher incidence of DM, CHF, CKD, malnutrition, geriatric depression and dynapenia. Anemia was associated with dependence in both BADL and IADL in older men. However, comorbidities, nutritional status, depressive mood and, specifically muscle strength, were important contributors to this association., (© 2024. The Author(s).)
Published: 2024
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27. Reply to the Comments on "Biomarkers and Related Factors for the Diagnosis, Risk of Coronary Artery Lesions, and Resistance to Intravenous Immunoglobulin in Kawasaki Disease: An Umbrella Review of Meta-Analyses".

Author: Kim TH, Son Y, Kang J, and Yon DK
Abstract: The article "Biomarkers and related factors for the diagnosis, risk of coronary artery lesions, and resistance to intravenous immunoglobulin in Kawasaki disease: an umbrella review of meta-analyses" offers valuable insights into diagnostic and therapeutic settings by overviewing various biomarkers associated with Kawasaki disease. There are some comments related to our umbrella review methodology, particularly PRIOR guidelines and GRADE framework. We clarify our choice of the PRISMA 2020 guidelines over PRIOR and explain the rigorous methodology used, which aligns with GRADE principles, ensuring robust and reliable findings. In addition, we address the suggestion for sensitivity analysis, noting that potential biases were managed through AMSTAR2 assessments, heterogeneity testing, and publication bias analysis., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Published: 2024
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28. Differences in the effectiveness of leukocyte-rich platelet-rich plasma compared with leukocyte-poor platelet-rich plasma in the treatment of rotator cuff surgery: an umbrella review of meta-analyses.

Author: Tang P, Rahmati M, Xiao W, Wen T, Yon DK, Smith L, Su J, Yang S, Li Y, and Deng Z
Subjects: Humans, Arthroscopy, Leukocytes, Meta-Analysis as Topic, Treatment Outcome, Platelet-Rich Plasma, Rotator Cuff Injuries surgery
Abstract: Background: An umbrella review of meta-analyses was conducted to evaluate the use of platelet-rich plasma (PRP) in arthroscopic surgeries of rotator cuff injury. The effectiveness of leukocyte-poor PRP and leukocyte-rich PRP in the treatment of rotator cuff surgery was also compared., Methods: Web of Science, Embase, PubMed/MEDLINE, and the Cochrane Library were searched from inception to May 2024. Literature screening, quality evaluation, and data extraction were performed according to the inclusion and exclusion criteria. The Jadad decision algorithm was used to ascertain which meta-analysis represented the best evidence., Results: A total of 11 meta-analyses with evidence level ranging from level 1 to 2 were included in this umbrella review. Leukocyte-poor PRP was effective in reducing rotator cuff retear rates, alleviating pain, and increasing Constant scores compared with non-PRP treatments. However, it did not show improvement on the University of California Los Angeles (UCLA) score, the American Shoulder and Elbow Surgeons (ASES) score, and the Simple Shoulder Test (SST) compared with the non-PRP treatment group. Meanwhile, the leukocyte-rich PRP group improved the SST but showed no different results when compared with the non-PRP treatment group., Conclusion: Compared with no use of PRP, leukocyte-poor PRP was able to alleviate postoperative pain, reduce the retear rate, and improve the postoperative Constant score. Leukocyte-rich PRP could effectively enhance postoperative SST outcomes, leading to improvement of patient satisfaction and quality of life. Future researches should prioritize long-term follow-up studies and evaluate the durability of these results., (© 2024. The Author(s).)
Published: 2024
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29. National trends in adolescents' mental health by income level in South Korea, pre- and post-COVID-19, 2006-2022.

Author: Cho J, Park J, Lee H, Jo H, Lee S, Kim HJ, Son Y, Kim H, Woo S, Kim S, Kang J, Pizzol D, Hwang J, Smith L, and Yon DK
Subjects: Humans, Adolescent, Republic of Korea epidemiology, Male, Female, Prevalence, Risk Factors, Surveys and Questionnaires, Stress, Psychological epidemiology, SARS-CoV-2 isolation & purification, Mental Disorders epidemiology, Pandemics, COVID-19 epidemiology, COVID-19 psychology, Mental Health, Income, Suicidal Ideation, Suicide, Attempted statistics & numerical data, Suicide, Attempted psychology, Suicide, Attempted trends
Abstract: Despite the significant impact of the COVID-19 pandemic on various factors related to adolescent mental health problems such as stress, sadness, suicidal ideation, and suicide attempts, research on this topic has been insufficient to date. This study is based on the Korean Youth Risk Behavior Web-based Survey from 2006 to 2022. We analyzed the mental health problems of adolescents based on questionnaires with medical interviews, within five income groups and compared them with several risk factors. A total of 1,138,804 participants were included in this study, with a mean age (SD) of 15.01 (0.75) years. Of these, 587,256 were male (51.57%). In 2022, the recent period from the study, the weighted prevalence of stress in highest income group was 40.07% (95% CI, 38.67-41.48), sadness was 28.15% (26.82-29.48), suicidal ideation was 13.92% (12.87-14.97), and suicide attempts was 3.42% (2.90-3.93) while the weighted prevalence of stress in lowest income group was 62.77% (59.42-66.13), sadness was 46.83% (43.32-50.34), suicidal ideation was 31.70% (28.44-34.96), and suicide attempts was 10.45% (8.46-12.45). Lower income groups showed a higher proportion with several risk factors. Overall proportion had decreased until the onset of the pandemic. However, a significant increase has been found during the COVID-19 pandemic. Our study showed an association between household income level and the prevalence of mental illness in adolescents. Furthermore, the COVID-19 pandemic has exacerbated mental illness among adolescents from low household income level, underscoring the necessity for heightened public attention and measures targeted at this demographic., (© 2024. The Author(s).)
Published: 2024
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30. Global burden of vaccine-associated Guillain-Barré syndrome over 170 countries from 1967 to 2023.

Author: Jeong YD, Park S, Lee S, Jang W, Park J, Lee K, Lee J, Kang J, Udeh R, Rahmati M, Yeo SG, Smith L, Lee H, and Yon DK
Subjects: Adolescent, Adult, Aged, Child, Female, Humans, Male, Middle Aged, Young Adult, COVID-19 prevention & control, COVID-19 epidemiology, Databases, Factual, Global Health, Risk Factors, Vaccination adverse effects, COVID-19 Vaccines adverse effects, COVID-19 Vaccines administration & dosage, Guillain-Barre Syndrome chemically induced, Guillain-Barre Syndrome epidemiology, Vaccines adverse effects
Abstract: Research on Guillain-Barré syndrome (GBS) as a neurological adverse effect of vaccines on a global scale is scarce, highlighting the need for further investigation to evaluate its long-term impact and associated risk factors comprehensively. Hence, this study aims to assess the global burden of vaccine-associated GBS and its associated vaccines. This study utilized data from VigiBase, the World Health Organization global database of adverse event reports of medicines and vaccines, encompassing the period from 1967 to 2023 (total reports, n = 131,255,418) to investigate vaccine-associated GBS. Reported odds ratios (ROR) and information components (IC) were analyzed to assess the association between 19 vaccines and the occurrence of vaccine-associated GBS over 170 countries. We identified 15,377 (8072 males [52.49%]) reports of vaccine-associated GBS among 22,616 reports of all drugs-cause GBS from 1978 to 2023. Cumulative reports of vaccine-associated GBS have been increasing steadily over time, with a notable surge observed since the commencement of COVID-19 vaccines administration in 2020. Most vaccines showed significant associations with GBS such as Ad5-vectored COVID-19 vaccines (ROR, 14.88; IC, 3.66), COVID-19 mRNA vaccines (ROR, 9.66; IC, 2.84), and inactivated whole-virus COVID-19 vaccines (ROR, 3,29; IC 1.69). Influenza vaccines showed the highest association (ROR, 77.91; IC 5.98). Regarding age-and sex-specific risks, the association remained similar regardless of sex, with an increased association observed with advancing age. The mean time to onset was 5.5 days. Amid the COVID-19 pandemic, the reports of GBS surged in response to widespread COVID-19 vaccination. Nonetheless, COVID-19 vaccines exhibited the lowest association compared to other vaccines. Vigilance for at least one-week post-vaccination is crucial, particularly for older adults. Further research is warranted to elucidate the underlying mechanisms linking vaccines and GBS., (© 2024. The Author(s).)
Published: 2024
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31. Human vaccination for highly pathogenic avian influenza.

Author: Branda F, Oh J, Acharya KP, Yon DK, Ciccozzi M, and Scarpa F
Published: 2024
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32. Global burden of vaccine-associated uveitis and their related vaccines, 1967-2023.

Author: Oh J, Park S, Park J, Jo H, Lee H, Udeh R, Rahmati M, Yang JM, Lee JY, and Yon DK
Abstract: Although uveitis after vaccination is rare, reports emerged during the COVID-19 pandemic. We used the pharmacovigilance case/non-case study from 1967 to 2023 to assess the association between vaccines and uveitis. We identified a significant signal for uveitis (reporting OR (ROR), 1.64; information component (IC) 025 , 0.66) with 1508 reports. This association is pronounced in females of all ages after childhood. Specifically, the COVID-19 messenger RNA vaccines showed the strongest disproportionality signal (ROR, 5.76; IC 025 , 2.33), followed by hepatitis B, papillomavirus, Ad (Adenovirus) 5-vectored COVID-19 and influenza vaccines. These findings underscore the importance of surveillance in the postmarketing phase to manage potential adverse events associated with vaccine administration., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2024
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33. Comorbid health outcomes in patients with schizophrenia: an umbrella review of systematic reviews and meta-analyses.

Author: Lee H, Lee JH, Lee S, Lim JS, Kim HJ, Park J, Lee H, Fond G, Boyer L, Smith L, Rahmati M, Tully MA, Pizzol D, Oh H, Kang J, and Yon DK
Abstract: There is no comprehensive umbrella review exploring the connection between schizophrenia and various health outcomes. Therefore, we aimed to systematically review existing meta-analyses about schizophrenia-associated comorbid health outcomes and validate the evidence levels. We performed an umbrella review of meta-analyses of observational studies to explore comorbid health outcomes in individuals with schizophrenia. Searches were conducted across PubMed/MEDLINE, EMBASE, ClinicalKey, and Google Scholar up to September 5, 2023, targeting meta-analyses of observational studies related to comorbid health outcomes in individuals with schizophrenia. We applied AMSTAR2 for data extraction and quality assessment, adhering to PRISMA guidelines. Evidence credibility was evaluated and categorized by evidence quality. Our protocol was registered with PROSPERO (CRD42024498833). Risk and protective factors were analyzed and presented through equivalent odds ratios (eRR). In this umbrella review, we analyzed 9 meta-analyses, including 88 original articles, covering 21 comorbid health outcomes with over 66 million participants across 19 countries. Patients with schizophrenia showed significant associations with multiple health outcomes, including asthma (eRR, 1.71 [95% CI, 1.05-2.78], class and quality of evidence [CE] = non-significant), chronic obstructive pulmonary disease (1.73 [1.25-2.37], CE = weak), pneumonia (2.63 [1.11-6.23], CE = weak), breast cancer of female patients (1.31 [1.04-1.65], CE = weak), cardiovascular disease (1.53 [1.12-2.11], CE = weak), stroke (1.71 [1.30-2.25], CE = weak), congestive heart failure (1.81 [1.21-2.69], CE = weak), sexual dysfunction (2.30 [1.75-3.04], CE = weak), fracture (1.63 [1.10-2.40], CE = weak), dementia (2.29 [1.19-4.39], CE = weak), and psoriasis (1.83 [1.18-2.83] CE = weak). Our study underscores the imperative for an integrated treatment approach to schizophrenia, highlighting its broad impact across respiratory, cardiovascular, sexual, neurological, and dermatological health domains. Given the predominantly non-significant to weak evidence levels, further studies are needed to reinforce our understanding., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2024
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34. Unique and Shared Molecular Mechanisms of Alcoholic and Non-Alcoholic Liver Cirrhosis Identified Through Transcriptomics Data Integration.

Author: Park KH, Lee H, Lee JH, Yon DK, Choi YI, Chung HJ, Jung J, and Jeong NY
Abstract: Liver cirrhosis is a severe chronic disease that results from various etiological factors and leads to substantial morbidity and mortality. Alcoholic cirrhosis (AC) and non-AC (NAC) arise from prolonged and excessive consumption of alcohol and metabolic syndromes, respectively. Precise molecular mechanisms of AC and NAC are yet to be comprehensively understood for diagnostics and therapeutic advances to materialize. This study reports novel findings to this end by utilizing high-throughput RNA sequencing and microarray data from the Gene Expression Omnibus (GEO). We performed a meta-analysis of transcriptomics data to identify the differentially expressed genes specific to AC and NAC. Functional enrichment and protein-protein interaction network analyses uncovered novel hub genes and transcription factors (TFs) critical to AC and NAC. We found that AC is primarily driven by metabolic dysregulation and oxidative stress, with key TFs such as RELA, NFKB1, and STAT3. NAC was characterized by fibrosis and tissue remodeling associated with metabolic dysfunction, with TFs including USF1, MYCN, and HIF1A. Key hub genes such as ESR1 , JUN , FOS , and PKM in AC, and CD8A , MAPK3 , CCND1 , and CXCR4 in NAC were identified, along with their associated TFs, pointing to potential therapeutic targets. Our results underscore the unique and shared molecular mechanisms that underlie AC and NAC and inform the efforts toward precision medicine and improved patient outcomes in liver cirrhosis.
Published: 2024
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35. National trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio in South Korea, 2005-2022.

Author: Kim H, Park S, Park J, Son Y, Kim S, Yim Y, Jo H, Lee K, Jeong YD, Oh J, Cho H, Pizzol D, Hwang J, Smith L, and Yon DK
Subjects: Humans, Republic of Korea epidemiology, Male, Female, Middle Aged, Adult, Prevalence, Aged, Nutrition Surveys, Adiposity, Risk Factors, Diabetes Mellitus, Type 2 epidemiology, Waist-Height Ratio, Obesity, Abdominal epidemiology
Abstract: Studies investigating the association between type 2 diabetes mellitus and central adiposity are lacking. Therefore, this study aimed to investigate trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio (WHtR). Trends in type 2 diabetes mellitus were examined by central adiposity, using WHtR, with data from the Korea National Health and Nutrition Examination Survey (2005-2022). Individuals aged 30 years and over who participated in the survey were selected. Type 2 diabetes mellitus was identified based on serum glucose or HbA1c levels, the use of diabetes medications, or a prior diagnosis by a physician. Weighted β-coefficients or odd ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess changes in disease prevalence. A total of 79,368 participants were included in the database (female: 45,163 [56.9%]). from 2005 to 2022, the prevalence of type 2 diabetes mellitus increased from 3.3 to 5.8% in the healthy central adiposity group, from 11.2 to 17.1% in the increased central adiposity group, and from 18.0 to 26.7% in the high central adiposity group. Males, older population, lower education level, lower household income, and smoking are associated with a higher risk of type 2 diabetes. In the high central adiposity group, overweight and obese individuals had higher susceptibility than underweight or normal-weight individuals, with ORs of 5.85 (95% CI, 2.54-13.47) and 8.24 (3.79-17.94), respectively. The prevalence of type 2 diabetes mellitus has increased in all central adiposity groups in the past decade. This underscores the need for tailored interventions to address disparities and improve diabetes management in at-risk populations., (© 2024. The Author(s).)
Published: 2024
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36. Worldwide burden of antidiabetic drug-induced sarcopenia: An international pharmacovigilance study.

Author: Kong J, Park S, Kim TH, Lee JE, Cho H, Oh J, Lee S, Jo H, Lee H, Lee K, Park J, Jacob L, Pizzol D, Rhee SY, Kim S, and Yon DK
Abstract: Background: Sarcopenia is a condition that poses a significant risk in the older population, with diabetes identified as a risk factor. Recent evidence suggests that GLP-1 RA, commonly used as antidiabetic treatments, may potentially induce sarcopenia. This study aimed to investigate the association between sarcopenia and various antidiabetic drugs, including GLP-1 RAs., Methods: This study analyzed reports from the World Health Organization international pharmacovigilance database, covering the period from 1967 to 2023 (total reports, n = 131,255,418). We analyzed the reported odds ratio (ROR) and information component (IC) to evaluate the association between sarcopenia and seven classes of antidiabetic drugs: DPP-4 inhibitors, GLP-1 RAs, insulin, metformin, SGLT2 inhibitors, sulfonylureas, and thiazolidinediones., Results: Reports of antidiabetic drugs-associated sarcopenia have gradually increased (n = 508; 258 males [50.79 %]). Overall, antidiabetic drugs showed significant associations with sarcopenia (ROR, 1.31 [95 % CI, 1.20-1.44]; IC, 0.38 [IC 025 , 0.24]). Among the individual drug classes, SGLT2 inhibitors showed the highest association (ROR, 2.49 [95 % CI, 1.93-3.22]; IC, 1.30 [IC 025 , 0.87]), followed by metformin (ROR, 1.86 [95 % CI, 1.43-2.41]; IC, 0.88 [IC 025 , 0.44]), DPP-4 inhibitors (ROR, 1.67 [95 % CI, 1.17-2.38]; IC, 0.72 [IC 025 , 0.12]), and insulin (ROR, 1.27 [95 % CI, 1.11-1.45]; IC, 0.34 [IC 025 , 0.11]). Despite the high number of reports for GLP-1 RAs, no significant association with sarcopenia was observed (n = 93; ROR, 1.06 [95 % CI, 0.86-1.29]; IC, 0.08 [IC 025 , -0.27])., Conclusions: Antidiabetic drugs showed significant associations with sarcopenia, with SGLT2 inhibitors exhibiting the strongest association. Notably, despite numerous reports, GLP-1 RAs did not show a significant association., Competing Interests: Declaration of competing interest All the authors declared no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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37. National Trends in the Prevalence of Self-Perceived Overweight Among Adolescents Between 2005 and 2022: Nationwide Representative Study.

Author: Jeong J, Lee S, Lee K, Kim S, Park J, Son Y, Lee H, Lee H, Kang J, Rahmati M, Pizzol D, Smith L, López Sánchez GF, Dragioti E, Fond G, Boyer L, Woo S, Rhee SY, and Yon DK
Subjects: Humans, Adolescent, Female, Prevalence, Male, Republic of Korea epidemiology, Risk Factors, Self Concept, Surveys and Questionnaires, COVID-19 epidemiology, COVID-19 psychology, Overweight epidemiology, Overweight psychology
Abstract: Background: Despite several studies on self-evaluation of health and body shape, existing research on the risk factors of self-perceived overweight is insufficient, especially during the COVID-19 pandemic., Objective: This study aims to identify the risk factors affecting self-perceived overweight and examine how the prevalence of self-perceived overweight has changed before and during the COVID-19 pandemic. Specifically, we analyzed the impact of altered lifestyles due to COVID-19 on this phenomenon., Methods: The data used in the study were obtained from middle and high school students who participated in the Korean Youth Risk Behavior Web-based Survey (N=1,189,586). This survey was a 2-stage stratified cluster sampling survey representative of South Korean adolescents. We grouped the survey results by year and estimated the slope in the prevalence of self-perceived overweight before and during the pandemic using weighted linear regression, as well as the prevalence tendencies of self-perceived overweight according to various risk factors. We used prevalence ratios to identify the risk factors for self-perceived overweight. In addition, we conducted comparisons of risk factors in different periods to identify their associations with the COVID-19 pandemic., Results: The prevalence of self-perceived overweight was much higher than BMI-based overweight among 1,189,586 middle and high school participants (grade 7-12) from 2005 to 2022 (female participants: n=577,102, 48.51%). From 2005 to 2019 (prepandemic), the prevalence of self-perceived overweight increased (β=2.80, 95% CI 2.70-2.90), but from 2020 to 2022 (pandemic) it decreased (β=-0.53, 95% CI -0.74 to -0.33). During the pandemic, individuals with higher levels of stress or lower household economic status exhibited a more substantial decrease in the rate of self-perceived overweight. The prevalence of self-perceived overweight tended to be higher among individuals with poor academic performance, lower economic status, poorer subjective health, and a higher stress level., Conclusions: Our nationwide study, conducted over 18 years, indicated that self-perceived overweight decreased during the COVID-19 period while identifying low academic performance and economic status as risk factors. These findings suggest the need for policies and facilities to address serious dieting and body dissatisfaction resulting from self-perceived overweight by developing counseling programs for adolescents with risk factors such as lower school performance and economic status., (©Jinyoung Jeong, Seungjun Lee, Kyeongmin Lee, Seokjun Kim, Jaeyu Park, Yejun Son, Hyeri Lee, Hayeon Lee, Jiseung Kang, Masoud Rahmati, Damiano Pizzol, Lee Smith, Guillermo F López Sánchez, Elena Dragioti, Guillaume Fond, Laurent Boyer, Selin Woo, Sang Youl Rhee, Dong Keon Yon. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 09.10.2024.)
Published: 2024
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38. Global and Regional Burden of Vaccine-Associated Erythema Multiforme and their Related Vaccines, 1967-2023: An In-Depth Analysis of the World Health Organization Pharmacovigilance Database.

Author: Kyung S, Rahmati M, Kang J, Lee K, Lee H, and Yon DK
Abstract: Objective: Vaccine-associated erythema multiforme (EM) remains under-researched, impacting global vaccine safety evaluations. This study examines the global and regional burden of EM and its association with specific vaccines to optimize vaccination strategies., Materials and Methods: We analyzed data from the WHO pharmacovigilance database on vaccine-associated EM from 1967 to 2023 (n=131,255,418 reports). Reporting frequencies, reported odds ratios (ROR), and information components (IC) were calculated for 16 vaccines across 170 countries., Results: We identified 6,355 cases (males, n=3,182 [50.07%]) of vaccine-associated EM from a total of 46,378 reports of all-cause EM. While vaccine-associated EM has been consistently reported, there has been a notable increase in reported incidence particularly in 2010 and 2020. Measles, mumps, and rubella vaccines had the highest association with vaccine-associated EM reports (ROR, 8.75 [95% confidence interval (CI), 8.11-9.44]; IC, 3.10 [IC0.25, 2.97]), followed by hepatitis B (8.54 [7.66-9.51]; 3.06 [2.88]), hepatitis A (8.11 [7.01-9.39]; 2.98 [2.74]), typhoid (6.50 [4.75-8.90]; 2.60 [2.07]), encephalitis (5.86 [4.35-7.91]; 2.47 [1.96]), diphtheria, tetanus toxoids, pertussis, polio, and Hemophilus influenza type b (5.70 [5.42-5.99]; 2.46 [2.38]), pneumococcal (5.56 [5.11-6.06]; 2.45 [2.31]), rotavirus (4.96 [4.21-5.84]; 2.29 [2.01]), varicella-zoster (4.44 [3.99-4.95]; 2.13 [1.95]).Vaccine-associated EM reports were more strongly correlated with younger age groups and males. The overall fatality rate of vaccine-associated EM was 0.04%., Conclusions: The rise in vaccine-associated EM across multiple vaccines, especially in younger populations, highlights the need for closer monitoring and more informed vaccination practices to mitigate adverse reactions., (The Author(s). Published by S. Karger AG, Basel.)
Published: 2024
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39. Machine Learning-Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study.

Author: Sang H, Lee H, Park J, Kim S, Woo HG, Koyanagi A, Smith L, Lee S, Hwang YC, Park TS, Lim H, Yon DK, and Rhee SY
Subjects: Humans, Male, Middle Aged, Female, Cohort Studies, Republic of Korea, Aged, Diabetes Mellitus, Type 2 complications, Machine Learning, Neurodegenerative Diseases
Abstract: Background: Several machine learning (ML) prediction models for neurodegenerative diseases (NDs) in type 2 diabetes mellitus (T2DM) have recently been developed. However, the predictive power of these models is limited by the lack of multiple risk factors., Objective: This study aimed to assess the validity and use of an ML model for predicting the 3-year incidence of ND in patients with T2DM., Methods: We used data from 2 independent cohorts-the discovery cohort (1 hospital; n=22,311) and the validation cohort (2 hospitals; n=2915)-to predict ND. The outcome of interest was the presence or absence of ND at 3 years. We selected different ML-based models with hyperparameter tuning in the discovery cohort and conducted an area under the receiver operating characteristic curve (AUROC) analysis in the validation cohort., Results: The study dataset included 22,311 (discovery) and 2915 (validation) patients with T2DM recruited between 2008 and 2022. ND was observed in 133 (0.6%) and 15 patients (0.5%) in the discovery and validation cohorts, respectively. The AdaBoost model had a mean AUROC of 0.82 (95% CI 0.79-0.85) in the discovery dataset. When this result was applied to the validation dataset, the AdaBoost model exhibited the best performance among the models, with an AUROC of 0.83 (accuracy of 78.6%, sensitivity of 78.6%, specificity of 78.6%, and balanced accuracy of 78.6%). The most influential factors in the AdaBoost model were age and cardiovascular disease., Conclusions: This study shows the use and feasibility of ML for assessing the incidence of ND in patients with T2DM and suggests its potential for use in screening patients. Further international studies are required to validate these findings., (©Hyunji Sang, Hojae Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 03.10.2024.)
Published: 2024
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40. Association between self-reported visual symptoms (suggesting cataract) and self-reported fall-related injury among adults aged ≥ 65 years from five low- and middle-income countries.

Author: Smith L, López Sánchez GF, Veronese N, Soysal P, Tully MA, Gorely T, Allen PM, Rahmati M, Yon DK, Ball G, Butler L, Keyes H, Barnett Y, Shin JI, and Koyanagi A
Subjects: Humans, Aged, Female, Male, Cross-Sectional Studies, India epidemiology, Prevalence, China epidemiology, Aged, 80 and over, Russia epidemiology, Mexico epidemiology, Ghana epidemiology, Risk Factors, Vision Disorders epidemiology, Vision Disorders etiology, Accidental Falls statistics & numerical data, Cataract epidemiology, Self Report, Developing Countries
Abstract: Background: Cataracts may increase risk for falls but studies on this topic from low- and middle-income countries (LMICs) are scarce. Therefore, we examined the cross-sectional association between self-reported visual symptoms (suggesting cataract) and self-reported injurious falls in nationally representative samples of adults aged ≥ 65 years from five LMICs (China, Ghana, India, Mexico, and Russia)., Methods: Data from the WHO Study on global AGEing and adult health (SAGE) were analysed. Self-reported information on past 12-month fall-related injury and cataract based on symptoms were collected. Multivariable logistic regression and meta-analyses were conducted to assess associations., Results: Data on 13,101 people aged ≥ 65 years were analysed [mean (SD) age 72.5 (11.3) years; 45.2% males]. The overall prevalence of self-reported fall-related injury and visual symptoms (suggesting cataract) were 4.9% and 29.4%, respectively. There was a positive association between self-reported visual symptoms (suggesting cataract) and fall-related injury (i.e., OR > 1) in all five countries but statistical significance was reached in three: China (OR = 1.60; 95% CI = 1.08-2.35), India (OR = 1.96; 95% CI = 1.15-3.35), and Russia (OR = 3.58; 95% CI = 2.06-6.24). The pooled OR including all five countries based on a meta-analysis was OR = 1.88 (95% CI = 1.32-2.68)., Conclusions: Self-reported visual symptoms (suggesting cataract) were associated with higher odds for self-reported injurious falls among older adults in LMICs. Expanding availability of cataract surgery in LMICs may also have the additional benefit of reducing falls among older people., (© 2024. The Author(s), under exclusive licence to The Royal College of Ophthalmologists.)
Published: 2024
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41. Psychosocial alterations during the COVID-19 pandemic and the global burden of anxiety and major depressive disorders in adolescents, 1990-2021: challenges in mental health amid socioeconomic disparities.

Author: Kim S, Hwang J, Lee JH, Park J, Kim HJ, Son Y, Oh H, Smith L, Kang J, Fond G, Boyer L, Rahmati M, Tully MA, Pizzol D, Udeh R, Lee J, Lee H, Lee S, and Yon DK
Subjects: Humans, Adolescent, Anxiety Disorders epidemiology, Anxiety Disorders psychology, Incidence, Child, Socioeconomic Factors, Pandemics, Mental Health, Young Adult, Global Burden of Disease, Female, Socioeconomic Disparities in Health, COVID-19 epidemiology, COVID-19 psychology, Depressive Disorder, Major epidemiology, Depressive Disorder, Major psychology, Global Health
Abstract: Background: The coronavirus disease 2019 (COVID-19) pandemic, a global health crisis, profoundly impacted all aspects of daily life. Adolescence, a pivotal stage of psychological and social development, is heavily influenced by the psychosocial and socio-cultural context. Hence, it is imperative to thoroughly understand the psychosocial changes adolescents experienced during the pandemic and implement effective management initiatives., Data Sources: We examined the incidence rates of depressive and anxiety disorders among adolescents aged 10-19 years globally and regionally. We utilized data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 to compare pre-pandemic (2018-2019) and pandemic (2020-2021) periods. Our investigation covered 204 countries and territories across the six World Health Organization regions. We conducted a comprehensive literature search using databases including PubMed/MEDLINE, Scopus, and Google Scholar, employing search terms such as "psychosocial", "adolescent", "youth", "risk factors", "COVID-19 pandemic", "prevention", and "intervention"., Results: During the pandemic, the mental health outcomes of adolescents deteriorated, particularly in terms of depressive and anxiety disorders. According to GBD 2021, the incidence rate of anxiety disorders increased from 720.26 [95% uncertainty intervals (UI) = 548.90-929.19] before the COVID-19 pandemic (2018-2019) to 880.87 per 100,000 people (95% UI = 670.43-1132.58) during the COVID-19 pandemic (2020-2021). Similarly, the incidence rate of major depressive disorder increased from 2333.91 (95% UI = 1626.92-3138.55) before the COVID-19 pandemic to 3030.49 per 100,000 people (95% UI = 2096.73-4077.73) during the COVID-19 pandemic. This worsening was notably pronounced in high-income countries (HICs). Rapid environmental changes, including heightened social anxiety, school closures, economic crises, and exacerbated racism, have been shown to adversely affect the mental well-being of adolescents., Conclusions: The abrupt shift to remote learning and the absence of in-person social interactions heightened feelings of loneliness, anxiety, sadness, and stress among adolescents. This change magnified existing socioeconomic disparities, posing additional challenges. These complexities profoundly impact adolescents' well-being, especially vulnerable groups like those from HICs, females, and minorities. Acknowledging the underreporting bias in low- to middle-income countries highlights the importance of addressing these mental health alterations in assessments and interventions within these regions as well. Urgent interventions are crucial as the pandemic-induced mental stress may have lasting effects on adolescents' mental health., (© 2024. Children's Hospital, Zhejiang University School of Medicine.)
Published: 2024
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42. Association between sedentary behavior and wish to die among adults aged ≥50 years: Findings from the Irish Longitudinal Study on Ageing.

Author: Smith L, López Sánchez GF, Soysal P, Veronese N, Rahmati M, Tully MA, Yon DK, Alghamdi BS, Butler L, Ahluwalia S, Ball G, Shin JI, and Koyanagi A
Subjects: Humans, Male, Female, Middle Aged, Ireland epidemiology, Longitudinal Studies, Aged, Cross-Sectional Studies, Sleep Wake Disorders epidemiology, Depression epidemiology, Loneliness psychology, Sedentary Behavior, Aging physiology
Abstract: We investigated the association between sedentary behavior (SB) and wish to die (WTD; i.e., feeling that one would be better off dead or wishing for one's own death), and the extent to which this can be explained by sleep problems, depression, anxiety, loneliness, perceived stress, and social network in a nationally representative sample of adults aged ≥50 years from Ireland. Cross-sectional data from Wave 1 of the Irish Longitudinal Study on Ageing 2009-2011 were analyzed. WTD was defined as answering affirmatively to the question "In the last month, have you felt that you would rather be dead?" SB was used as a continuous variable (hours/day), and also as a categorical (< or ≥8 h/day) variable. Multivariable logistic regression and mediation analyses were conducted. Data on 8163 adults aged ≥50 years were analyzed [mean (SD) age 63.6 (9.1) years; 48.0% males]. Overall, ≥8 (vs. <8) hours/day of SB was associated with a significant 2.04 (95%CI = 1.50-2.76) times higher odds for WTD, while a 1-h increase in SB per day was associated with 1.11 (95%CI = 1.06-1.16) times higher odds for WTD. Mediation analysis showed that sleep problems, depression, loneliness, perceived stress, and social network explained a modest proportion of the association between SB and WTD (mediated percentage 9.3%-14.8%). The present cross-sectional study found that increasing or higher levels of SB is positively associated with WTD. Addressing the identified potential mediators may reduce WTD among people who are sedentary. However, future longitudinal and intervention studies are needed to make concrete recommendations., Competing Interests: Declaration of competing interest None., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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43. Prenatal and infant exposure to antibiotics and subsequent risk of neuropsychiatric disorders in children: A nationwide birth cohort study in South Korea.

Author: Oh J, Woo HG, Kim HJ, Park J, Lee M, Rahmati M, Rhee SY, Min C, Koyanagi A, Smith L, Fond G, Boyer L, Kim MS, Shin JI, Lee SW, and Yon DK
Subjects: Humans, Female, Republic of Korea epidemiology, Pregnancy, Male, Infant, Child, Birth Cohort, Adult, Child, Preschool, Cohort Studies, Mental Disorders epidemiology, Mental Disorders chemically induced, Infant, Newborn, Prenatal Exposure Delayed Effects epidemiology, Prenatal Exposure Delayed Effects chemically induced, Anti-Bacterial Agents adverse effects
Abstract: We aimed to assess the association between antibiotic exposure in fetal and postnatal life (within six months after birth) and the risk of neuropsychiatric disorders in childhood. A nationwide, population-based birth cohort study(infants, n = 3,163,206; paired mothers, n = 2,322,735) was conducted in South Korea, with a mean follow-up duration of 6.8 years, using estimates of hazard ratio [HR] and 95 % confidence intervals (CIs). Following propensity score matching including the baseline variables, antibiotic exposure in both fetal (HR,1.07 [95 % CI, 1.05-1.08]) and postnatal life (1.05 [1.03-1.07]) was associated with an increased risk of overall childhood neuropsychiatric disorders. A synergistic effect was observed with prenatal and postnatal exposures (1.12 [1.09-1.15]). The risk increases with the increasing number and duration of prescriptions. Significant associations were found for both common (1.06 [1.05-1.08]) and severe outcomes (1.17 [1.09-1.26]), especially for intellectual disability (1.12 [1.07-1.17]), ADHD (1.10 [1.07-1.13]), anxiety (1.06 [1.02-1.11]), mood (1.06 [1.00-1.12]), and autism (1.03 [1.01-1.07]). When comparing siblings with different exposure statuses to consider familial factors, prenatal and postnatal exposure risk increased to 10 % (95 % CI, 6-12) and 12 % (7-17), respectively. Similar results were observed in the unmatched and health screening cohort, which considers maternal obesity, smoking, and breastfeeding. Based on these findings, clinicians may consider potential long-term risks when assessing the risk-benefit of early-life antibiotic prescription., Competing Interests: Declaration of competing interest None reported., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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44. Global and regional burden of vaccine-induced thrombotic thrombocytopenia, 1969-2023: Comprehensive findings with critical analysis of the international pharmacovigilance database.

Author: Lee S, Jo H, Woo S, Jeong YD, Lee H, Lee K, Lee J, Kim HJ, Kang J, Jacob L, Smith L, Rahmati M, López Sánchez GF, Dragioti E, Son Y, Kim S, Yeo SG, Park J, and Yon DK
Subjects: Adolescent, Adult, Aged, Child, Child, Preschool, Female, Humans, Infant, Male, Middle Aged, Young Adult, Adverse Drug Reaction Reporting Systems, Databases, Factual, Global Health, Thrombosis etiology, Thrombosis epidemiology, Vaccination adverse effects, Pharmacovigilance, Thrombocytopenia chemically induced, Thrombocytopenia epidemiology, Vaccines adverse effects
Abstract: Objective: The scarcity of studies on vaccine-induced thrombosis and thrombocytopenia syndrome (TTS) limits the comprehensive understanding of vaccine safety on a global scale. Therefore, the objective of this study is to assess the global burden of vaccine-induced TTS, identify the vaccines most associated with it, and suggest clinical implications regarding vaccination., Methods: This study employed the World Health Organization international pharmacovigilance database, extracting records of vaccine-induced immune thrombotic thrombocytopenia from 1969 to 2023 (total reports, n > 130 million). Global reporting counts, reported odds ratios (ROR), and information components (IC) were calculated to identify the association between 19 vaccines and the occurrence of vaccine-induced TTS across 156 countries., Results: We identified 24 233 cases (male, n = 11 559 [47.7%]) of vaccine-induced TTS among 404 388 reports of all-cause TTS. There has been a significant increase in reports of vaccine-induced TTS events over time, with a noteworthy surge observed after 2020, attributed to cases of TTS associated with COVID-19 vaccines. Measles, mumps, and rubella (MMR) vaccines were associated with most TTS reports (ROR [95% confidence interval], 2.87 [2.75-3.00]; IC [IC 0.25 ], 1.51 [1.43]), followed by hepatitis B (HBV, 2.23 [2.07-2.39]; 1.15 [1.03]), rotavirus diarrhea (1.95 [1.78-2.13]; 0.81 [0.53]), encephalitis (1.80 [1.50-2.16]; 0.84 [0.53]), hepatitis A (1.67 [1.50-1.86]; 0.73 [0.55]), adenovirus Type 5 vector-based (Ad5-vectored) COVID-19 (1.64 [1.59-1.68]; 0.69 [0.64]), pneumococcal (1.57 [1.49-1.66]; 0.65 [0.56]), and typhoid vaccines (1.41 [1.12-1.78]; 0.49 [0.11]). Concerning age and sex-specific risks, reports of vaccine-induced TTS were more associated with females and younger age groups. The age group between 12 and 17 years exhibited significant sex disproportion. Most of these adverse events had a short time to onset (days; mean [SD], 4.99 [40.30]) and the fatality rate was 2.20%, the highest rate observed in the age group over 65 years (3.79%) and lowest in the age group between 0 and 11 years (0.31%)., Conclusion: A rise in vaccine-induced TTS reports, notably MMR, HBV, and rotavirus diarrhea vaccines, was particularly related to young females. Ad5-vectored COVID-19 vaccines showed comparable or lower association with TTS compared to other vaccines. Despite the rarity of these adverse events, vigilance is essential as rare complications can be fatal, especially in older groups. Further studies with validated reporting are imperative to improve the accuracy of assessing the vaccine-induced TTS for preventive interventions and early diagnosis., (© 2024 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
Published: 2024
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45. Erratum to "COVID-19 Morbidity and Severity in Patients With Age-Related Macular Degeneration: A Korean Nationwide Cohort Study," American Journal of Ophthalmology, 239C, 159-169.

Author: Yang JM, Moon SY, Lee JY, Agalliu D, Yon DK, and Lee SW
Published: 2024
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46. Sodium-glucose cotransporter-2 inhibitors versus dipeptidyl peptidase IV inhibitors and risk of dementia among patients with type 2 diabetes and comorbid mental disorders: A population-based cohort study.

Author: Hong B, Lee H, Choi A, Kim WJ, Cho YM, Yon DK, and Shin JY
Abstract: Aim: To evaluate whether the use of sodium-glucose cotransporter-2 (SGLT2) inhibitors which have shown potential neuroprotective effects, is associated with lower risk of dementia in patients with type 2 diabetes (T2D) and comorbid mental disorders, who are considerably more susceptible to dementia., Methods: Using the nationwide healthcare data of South Korea between 2010 and 2022, we conducted a retrospective cohort study among patients with T2D and comorbid mental disorders initiating SGLT2 inhibitors versus active comparator (Dipeptidyl Peptidase IV (DPP4) inhibitors). Hazard ratios (HRs) and rate differences (RDs) per 1000 person-years of incident dementia were estimated after weighting by propensity score fine stratification method., Results: Over a 4.8-year median follow-up, SGLT2 inhibitors were associated with a 12 % lower risk of dementia compared with DPP4 inhibitors (11.31 vs. 12.86 events per 1000 person years; HR 0.88, 95 % CI 0.84 to 0.92; RD -1.55, -2.13 to -0.97). The results were consistent when stratified by age, sex, individual component, severe mental disorders, presence of insulin, history of cardiovascular disease, or history of hypertension., Conclusions: SGLT2 inhibitors versus DPP4 inhibitors were associated with a lower risk of incident dementia in patients with T2D and comorbid mental disorders. Further randomized controlled trials are required to confirm our findings., Competing Interests: Declaration of competing interest All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: this study was funded by the Ministry of Food and Drug Safety, South Korea. JYS received grants from the Ministry of Food and Drug Safety, Ministry of Health and Welfare, National Research Foundation of Korea, and Government-wide R&D Fund for Infectious Disease Research and Pharmaceutical Companies, including Pfizer, LG Chemical, and Union Chimique Belge. BH was supported by China Scholarship Council (Grant no. #202,308,260,057). YMC received research grants from Daewoong Pharmaceuticals and Sanofi, and consultation fees from Hanmi and LG Chemical. The other authors report no financial relationships with any organizations that might have an interest in the submitted work in the previous three years, and no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024 Elsevier Masson SAS. All rights reserved.)
Published: 2024
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47. Antibody titres after vaccination: a missing key to rabies control.

Author: Phuyal S, Acharya KP, and Yon DK
Subjects: Humans, Rabies virus immunology, Vaccination, Antibodies, Viral blood, Rabies prevention & control, Rabies Vaccines administration & dosage, Rabies Vaccines immunology
Published: 2024
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48. Increasing vaccination against rabies in remote regions.

Author: Acharya KP, Phuyal S, Oh J, and Yon DK
Published: 2024
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49. National Trends in the Prevalence of Unmet Health Care and Dental Care Needs During the COVID-19 Pandemic: Longitudinal Study in South Korea, 2009-2022.

Author: Kim Y, Kim S, Lee S, Park J, Koyanagi A, Smith L, Kim MS, Fond G, Boyer L, López Sánchez GF, Dragioti E, Kim HJ, Lee H, Son Y, Kim M, Kim S, and Yon DK
Subjects: Humans, Republic of Korea epidemiology, Male, Adult, Female, Young Adult, Middle Aged, Longitudinal Studies, Prevalence, Aged, Pandemics, Health Services Accessibility statistics & numerical data, Health Services Accessibility trends, Adolescent, COVID-19 epidemiology, Health Services Needs and Demand trends, Dental Care statistics & numerical data, Dental Care trends
Abstract: Background: Although previous studies have investigated trends in unmet health care and dental care needs, most have focused on specific groups, such as patients with chronic conditions and older adults, and have been limited by smaller data sets., Objective: This study aims to investigate the trends and relative risk factors for unmet health care and dental care needs, as well as the impact of the COVID-19 pandemic on these needs., Methods: We assessed unmet health care and dental care needs from 2009 to 2022 using data from the Korea Community Health Survey (KCHS). Our analysis included responses from 2,750,212 individuals. Unmet health care or dental care needs were defined as instances of not receiving medical or dental services deemed necessary by experts or desired by patients., Results: From 2009 to 2022, the study included 2,700,705 individuals (1,229,671 men, 45.53%; 673,780, 24.95%, aged 19-39 years). Unmet health care needs decreased before the COVID-19 pandemic; however, during the pandemic, there was a noticeable increase (β diff 0.10, 95% CI 0.09-0.11). Unmet dental care needs declined before the pandemic and continued to decrease during the pandemic (β diff 0.23, 95% CI 0.22-0.24). Overall, the prevalence of unmet dental care needs was significantly higher than that for unmet health care needs. While the prevalence of unmet health care needs generally decreased over time, the β difference during the pandemic increased compared with prepandemic values., Conclusions: Our study is the first to analyze national unmet health care and dental care needs in South Korea using nationally representative, long-term, and large-scale data from the KCHS. We found that while unmet health care needs decreased during COVID-19, the decline was slower compared with previous periods. This suggests a need for more targeted interventions to prevent unmet health care and dental care needs., (©Yeji Kim, Soeun Kim, Somin Lee, Jaeyu Park, Ai Koyanagi, Lee Smith, Min Seo Kim, Guillaume Fond, Laurent Boyer, Guillermo Felipe López Sánchez, Elena Dragioti, Hyeon Jin Kim, Hayeon Lee, Yejun Son, Minji Kim, Sunyoung Kim, Dong Keon Yon. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 18.09.2024.)
Published: 2024
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50. Sex-Specific and Long-Term Trends of Asthma, Allergic Rhinitis, and Atopic Dermatitis in South Korea, 2007-2022: A Nationwide Representative Study.

Author: Yim Y, Jo H, Park S, Son Y, Park J, Kim HJ, Lee S, Lee H, Pizzol D, Smith L, Kim S, Kang J, Woo S, and Yon DK
Abstract: Introduction: Although sex differences in allergic diseases such as atopic dermatitis (AD), allergic rhinitis (AR), and asthma are considered important, a limited number of studies during the COVID-19 pandemic investigated this aspect. Therefore, this study aimed to analyze sex-specific and long-term trends and risk factors for allergic diseases before and during the pandemic., Methods: This study utilized data from the Korea National Health and Nutrition Examination Survey, 2007-2022, including 92,135 participants aged 19 years and older. This study used weighted multivariate regression analysis to examine the estimates of related factors and assessed weighted odds ratios or β-coefficients for these factors across multiple categories., Results: During the study period (2007-2022), the prevalence of AR was more common in females than in males. Particularly in 2022, the prevalence among females was 19.3% (95% confidence interval, 17.3-21.3), while among males, it was 15.6% (13.8-17.4). The prevalence of AD and asthma showed a slight disparity between males and females. Before and during the pandemic, the prevalence of AD and AR showed a continuous increase (AD: from 2.8% [2.5-3.2] in 2007-2009 to 4.7% [3.9-5.4] in 2022; AR: from 11.7% [11.1-12.4] in 2007-2009 to 17.4% [16.0-18.9] in 2022), while asthma maintained a relatively stable trend. Moreover, this study identified several sex-specific factors that seem to be associated with a higher prevalence of allergic diseases in females, such as high household income, smoking, and being overweight or obese., Conclusions: Throughout all the periods examined, females consistently exhibited a higher prevalence of AR compared to males. Moreover, the risk factors for males and females varied depending on the disease, with females generally facing a greater number of risk factors. Consequently, this study highlights the necessity for sex-specific health interventions and further research to comprehend the complex influence of socioeconomic factors and lifestyle choices on the prevalence and risk of AD, AR, and asthma., (© 2024 The Author(s). Published by S. Karger AG, Basel.)
Published: 2024
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