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101. Contributors

Author

ACKLIN, YVES PASCAL, ADAMS, JULIE E., AMOROSA, LOUIS F., ANDERMAHR, JONAS, ANDERSEN, ROMNEY C., ANDERSON, CAESAR A., ANDERSON, PAUL A., AWAD, BASEM I., BAILEY, CHRISTOPHER S., BALACH, TESSA, BALDWIN, PAUL C., III, BARTLETT, CRAIG S., III, BAUMGAERTNER, MICHAEL R., BECHTOLD, JOAN ELIZABETH, BELIN, ERIC J., BELLABARBA, CARLO, BENNINGER, EMANUEL D.L., BHALLA, KAVI, BINDRA, RANDY R., BLEASE, ROBERT, BORN, CHRISTOPHER T., BOSSE, MICHAEL J., BRANSFORD, RICHARD JACKSON, BRINKER, MARK R., BROWNER, BRUCE D., CALFEE, RYAN, CASSIDY, CHARLES, CASTILLO, RENAN C., CELESTRE, PAUL C., CHANDAWARKAR, RAJIV, COHEN, MARK, COLE, PETER A., COLTON, CHRISTOPHER L., COONEY, LEO M., JR., COOPER, BRIAN W., COUGHLIN, R. RICHARD, DALZELL, KRISTIAN, DAS, NANDITA, DECKER, SEBASTIAN, DIGIOVANNI, CHRISTOPHER W., Dimar, John R., II, DIRSCHL, DOUGLAS R., DUFFY, RYAN, FEHLINGS, MICHAEL G., FELDMAN, DEBORAH, FELICIANO, DAVID V., FINN, MICHAEL, FRANCE, JOHN C., FREEDMAN, BRETT A., GANNON, RICHARD, GARY, JOSHUA L., GAULKE, RALPH, GEBHARD, FLORIAN, GERLINGER, TAD, GHOBRIAL, GEORGE M., GIANNOUDIS, PETER V., GIANOLI, DANIEL J., GINAITT, PETER, GOCKE, RYAN T., GOREHAM-VOSS, CURTIS, GÖSLING, THOMAS, GOSSELIN, RICHARD A., GOULET, JAMES A., GRAVES, MATT L., GREEN, STUART A., GREENE, JOHN, GUTIERREZ, DAVINA V., HAHN, JESSE C., HAIDUKEWYCH, GEORGE J., HALL, JONATHAN S., HAN, SHANNON, HANSEN, SIGVARD T., JR., HARRIS, MITCHEL B., HARROP, JAMES S., HARTLEY, BRANDI, HAWI, NAEL, HAYDA, ROMAN, HSU, JOSEPH R., JACOBSON, AARON R., JAGODZINSKI, MICHAEL, JAIN, SAMEER, JOAQUIM, ANDREI F., JONES, CLIFFORD B., JOSHIPURA, MANJUL, JOST, BERNHARD, JU, KEVIN L., JUPITER, JESSE B., KADRMAS, WARREN, KALANDIAK, STEVEN P., KATES, STEPHEN L., KLAUSMEYER, MELISSA A., KOVAL, KENNETH J., KRETTEK, CHRISTIAN, KUMAR, ASHESH, KUMAR, RAMESH, KWON, JOHN Y., KYLE, RICHARD F., LAFFERTY, PAUL M., LATTA, LOREN L., LERNER, ALEXANDER, LESLIE, MICHAEL P., LEVIN, PAUL E., LEVY, BRUCE A., LING, GEOFFREY S.F., LUDWIG, STEVEN C., LY, THUAN V., MACARTHUR, SUSAN G., MACKENZIE, ELLEN J., MAMCZAK, CHRISTIAAN N., MANOSO, MARK W., MARMOR, MEIR T., MARIANO, DEAN, MAS, PETER J., MATITYAHU, AMIR M., MATTA, JOEL M., MCKEE, MICHAEL D., MOCK, CHARLES N., MOORE, TIMOTHY, MORAFF, ADRIENNE, MORRIS, VICTOR A., MOUCHA, CALIN S., MÜLLER, CHRISTIAN W., MURDOCK, ALAN D., MURRAY, CLINTON K., NANOS, GEORGE P., III, NAUTH, AARON, NEAL, JOHN, VI, NORK, SEAN E., NOURI, ARIA, O'CONNOR, DANIEL P., OLSON, STEVEN A., OSLER, POLINA, OWENS, BRETT D., OWENS, PATRICK W., PAGENKOPF, ERIC, PALEY, DROR, PATEL, ALPESH A., PEITZMAN, ANDREW B., PERDRIZET, GEORGE A., PESANTI, EDWARD L., PETRI, MAXIMILIAN, PHAN, PHILIPPE, PINZUR, MICHAEL S., POLLAK, ANDREW, POTTER, BENJAMIN K., PRINCE, DANIEL E., PRIOR, DAVID M., PROBE, ROBERT A., RASMUSSEN, TODD E., REILLY, MARK C., RESHEF, NOAM, RICHTER, MARTINUS, RIEHL, JOHN T., RING, DAVID, ROBERTS, CRAIG S., ROSAS, HUMBERTO, ROSKOSKY, MELLISA, ROSS, JACK W., ROUTT, MILTON LEE (CHIP), JR., ROY, MICHAEL J., RUCHELSMAN, DAVID E., SANDERS, THOMAS H., SARMIENTO, AUGUSTO, SASSOON, ADAM A., SAVAGE, JASON W., SCALEA, THOMAS M., SCHATZKER, JOSEPH, SCHRODER, LISA K., SEDNEY, CARA L., SELIGSON, DAVID, SHEARER, DAVID W., SHEPPARD, RICHARD, SHULER, MICHAEL SIMMS, SILVERSTEIN, NICOLE, SOMMER, CHRISTOPH, SPIEGEL, DAVID A., SPIGUEL, ANDRE R., SPROSS, CHRISTIAN, STEFFNER, ROBERT J., STEINMANN, SCOTT P., STEINMETZ, MICHAEL P., STEVENSON, IAIN, STINNER, DANIEL J., STOCK, HARLAN, SWIONTKOWSKI, MARC F., TANNOUS, OLIVER, TILE, MARVIN, UPADHYAY, ASHISH, VACCARO, ALEXANDER R., WADDELL, JAMES P., WARDLAW, DOUGLAS, WARE, J. KRISTOPHER, WATSON, J. TRACY, WENKE, JOSEPH C., WIESEL, BRENT B., WIESEL, SAM W., WILLIAMS, SETH K., WINKELMANN, MARCEL, WOOD, KIRKHAM BERWICK, WOZNICZKA, JENNIFER, WYSOCKI, ROBERT, ZDRAVKOVIC, VILIJAM, ZIRKLE, LEWIS G., and ZYCH, GREGORY A.

Published
2015
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116. Essential surgery: key messages from Disease Control Priorities, 3rd edition

Author

Mock, Charles N, Donkor, Peter, Gawande, Atul, Jamison, Dean T, Kruk, Margaret E, and Debas, Haile T

Abstract

The World Bank will publish the nine volumes of Disease Control Priorities, 3rd edition, in 2015–16. Volume 1—Essential Surgery—identifies 44 surgical procedures as essential on the basis that they address substantial needs, are cost effective, and are feasible to implement. This report summarises and critically assesses the volume's five key findings. First, provision of essential surgical procedures would avert about 1·5 million deaths a year, or 6–7% of all avertable deaths in low-income and middle-income countries. Second, essential surgical procedures rank among the most cost effective of all health interventions. The surgical platform of the first-level hospital delivers 28 of the 44 essential procedures, making investment in this platform also highly cost effective. Third, measures to expand access to surgery, such as task sharing, have been shown to be safe and effective while countries make long-term investments in building surgical and anaesthesia workforces. Because emergency procedures constitute 23 of the 28 procedures provided at first-level hospitals, expansion of access requires that such facilities be widely geographically diffused. Fourth, substantial disparities remain in the safety of surgical care, driven by high perioperative mortality rates including anaesthesia-related deaths in low-income and middle-income countries. Feasible measures, such as WHO's Surgical Safety Checklist, have led to improvements in safety and quality. Fifth, the large burden of surgical disorders, cost-effectiveness of essential surgery, and strong public demand for surgical services suggest that universal coverage of essential surgery should be financed early on the path to universal health coverage. We point to estimates that full coverage of the component of universal coverage of essential surgery applicable to first-level hospitals would require just over US$3 billion annually of additional spending and yield a benefit–cost ratio of more than 10:1. It would efficiently and equitably provide health benefits, financial protection, and contributions to stronger health systems.

Published
2015
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122. Magnetic resonance imaging brain atrophy assessment in primary age-related tauopathy (PART).

Author

Quintas-Neves, Miguel, Teylan, Merilee A., Besser, Lilah, Soares-Fernandes, João, Mock, Charles N., Kukull, Walter A., Crary, John F., and Oliveira, Tiago Gil

Subjects
CEREBRAL atrophy, MAGNETIC resonance imaging, BRAIN imaging, AUTOPSY, SEMANTIC memory, TEMPORAL lobe
Abstract

Alzheimer disease (AD) is a neurodegenerative disorder characterized pathologically by the accumulation of amyloid-beta (Aβ) plaques and tau neurofibrillary tangles (NFTs). Recently, primary age-related tauopathy (PART) has been described as a new anatomopathological disorder where NFTs are the main feature in the absence of neuritic plaques. However, since PART has mainly been studied in post-mortem patient brains, not much is known about the clinical or neuroimaging characteristics of PART. Here, we studied the clinical brain imaging characteristics of PART focusing on neuroanatomical vulnerability by applying a previously validated multiregion visual atrophy scale. We analysed 26 cases with confirmed PART with paired clinical magnetic resonance imaging (MRI) acquisitions. In this selected cohort we found that upon correcting for the effect of age, there is increased atrophy in the medial temporal region with increasing Braak staging (r = 0.3937, p = 0.0466). Upon controlling for Braak staging effect, predominantly two regions, anterior temporal (r = 0.3638, p = 0.0677) and medial temporal (r = 0.3836, p = 0.053), show a trend for increased atrophy with increasing age. Moreover, anterior temporal lobe atrophy was associated with decreased semantic memory/language (r = − 0.5823, p = 0.0056; and r = − 0.6371, p = 0.0019, respectively), as was medial temporal lobe atrophy (r = − 0.4445, p = 0.0435). Overall, these findings support that PART is associated with medial temporal lobe atrophy and predominantly affects semantic memory/language. These findings highlight that other factors associated with aging and beyond NFTs could be involved in PART pathophysiology. [ABSTRACT FROM AUTHOR]

Published
2019
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123. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

Author

Forouzanfar, Mohammad H., Afshin, Ashkan, Alexander, Lily T., Anderson, H. Ross, Bhutta, Zulfiqar A., Biryukov, Stan, Brauer, Michael, Burnett, Richard, Cercy, Kelly, Charlson, Fiona J., Cohen, Aaron J., Dandona, Lalit, Estep, Kara, Ferrari, Alize J., Frostad, Joseph J., Fullman, Nancy, Gething, Peter W., Godwin, William W., Griswold, Max, Hay, Simon I., Kinfu, Yohannes, Kyu, Hmwe H., Larson, Heidi J., Liang, Xiaofeng, Lim, Stephen S., Liu, Patrick Y., Lopez, Alan D., Lozano, Rafael, Marczak, Laurie, Mensah, George A., Mokdad, Ali H., Moradi-Lakeh, Maziar, Naghavi, Mohsen, Neal, Bruce, Reitsma, Marissa B., Roth, Gregory A., Salomon, Joshua A., Sur, Patrick J., Vos, Theo, Wagner, Joseph A., Wang, Haidong, Zhao, Yi, Zhou, Maigeng, Aasvang, Gunn Marit, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M., Abd-Allah, Foad, Abdulle, Abdishakur M., Abera, Semaw Ferede, Abraham, Biju, Abu-Raddad, Laith J., Abyu, Gebre Yitayih, Adebiyi, Akindele Olupelumi, Adedeji, Isaac Akinkunmi, Ademi, Zanfina, Adou, Arsène Kouablan, Adsuar, José C., Agardh, Emilie Elisabet, Agarwal, Arnav, Agrawal, Anurag, Kiadaliri, Aliasghar Ahmad, Ajala, Oluremi N., Akinyemiju, Tomi F., Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore K. M., Aldhahri, Saleh Fahed, Aldridge, Robert William, Alemu, Zewdie Aderaw, Ali, Raghib, Alkerwi, Ala A., Alla, François, Allebeck, Peter, Alsharif, Ubai, Altirkawi, Khalid A., Martin, Elena Alvarez, Alvis-Guzman, Nelson, Amare, Azmeraw T., Amberbir, Alemayehu, Amegah, Adeladza Kofi, Amini, Heresh, Ammar, Walid, Amrock, Stephen Marc, Andersen, Hjalte H., Anderson, Benjamin O., Antonio, Carl Abelardo T., Anwari, Palwasha, Ärnlöv, Johan, Artaman, Al, Asayesh, Hamid, Asghar, Rana Jawad, Assadi, Reza, Atique, Suleman, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Bahit, Maria C., Balakrishnan, Kalpana, Barac, Aleksandra, Barber, Ryan M., Barker-Collo, Suzanne L., Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H., Basu, Sanjay, Batis, Carolina, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bell, Brent, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bensenor, Isabela M., Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhatt, Samir, Biadgilign, Sibhatu, Bikbov, Boris, Bisanzio, Donal, Bjertness, Espen, Blore, Jed D., Borschmann, Rohan, Boufous, Soufiane, Bourne, Rupert R. A., Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Broday, David M., Brugha, Traolach S., Brunekreef, Bert, Butt, Zahid A., Cahill, Leah E., Calabria, Bianca, Campos-Nonato, Ismael Ricardo, Cárdenas, Rosario, Carpenter, David O., Carrero, Juan Jesus, Casey, Daniel C., Castañeda-Orjuela, Carlos A., Rivas, Jacqueline Castillo, Castro, Ruben Estanislao, Catalá-López, Ferrán, Chang, Jung-Chen, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A., Choi, Jee-Young Jasmine, Christensen, Hanne, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G., Coates, Matthew M., Colquhoun, Samantha M., Manzano, Alejandra G. Contreras, Cooper, Leslie Trumbull, Cooperrider, Kimberly, Cornaby, Leslie, Cortinovis, Monica, Crump, John A., Cuevas-Nasu, Lucia, Damasceno, Albertino, Dandona, Rakhi, Darby, Sarah C., Dargan, Paul I., Das Neves, José, Davis, Adrian C., Davletov, Kairat, Castro, E. Filipa, La Cruz-Góngora, Vanessa, Leo, Diego, Degenhardt, Louisa, Del Gobbo, Liana C., Del Pozo-Cruz, Borja, Dellavalle, Robert P., Deribew, Amare, Jarlais, Don C. Des, Dharmaratne, Samath D., Dhillon, Preet K., Diaz-Torné, Cesar, Dicker, Daniel, Ding, Eric L., Dorsey, E. Ray, Doyle, Kerrie E., Driscoll, Tim R., Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Elyazar, Iqbal, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E., Eshrati, Babak, Esteghamati, Alireza, Fahimi, Saman, Faraon, Emerito Jose Aquino, Farid, Talha A., Farinha, Carla Sofia E. Sa, Faro, André, Farvid, Maryam S., Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Fischer, Florian, Fitchett, Joseph R. A., Fleming, Tom, Foigt, Nataliya, Foreman, Kyle, Fowkes, F. Gerry R., Franklin, Richard C., Fürst, Thomas, Futran, Neal D., Gakidou, Emmanuela, Garcia-Basteiro, Alberto L., Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Geleijnse, Johanna M., Gessner, Bradford D., Giref, Ababi Zergaw, Giroud, Maurice, Gishu, Melkamu Dedefo, Giussani, Giorgia, Goenka, Shifalika, Gomez-Cabrera, Mari Carmen, Gomez-Dantes, Hector, Gona, Philimon, Goodridge, Amador, Gopalani, Sameer Vali, Gotay, Carolyn C., Goto, Atsushi, Gouda, Hebe N., Gugnani, Harish Chander, Guillemin, Francis, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A., Haagsma, Juanita A., Hafezi-Nejad, Nima, Haile, Demewoz, Hailu, Gessessew Bugssa, Halasa, Yara A., Hamadeh, Randah Ribhi, Hamidi, Samer, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Hassen, Tahir Ahmed, Havmoeller, Rasmus, Heredia-Pi, Ileana Beatriz, Hernández-Llanes, Norberto Francisco, Heydarpour, Pouria, Hoek, Hans W., Hoffman, Howard J., Horino, Masako, Horita, Nobuyuki, Hosgood, H. Dean, Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Husseini, Abdullatif, Hutchings, Sally J., Huybrechts, Inge, Iburg, Kim Moesgaard, Idrisov, Bulat T., Ileanu, Bogdan Vasile, Inoue, Manami, Jacobs, Troy A., Jacobsen, Kathryn H., Jahanmehr, Nader, Jakovljevic, Mihajlo B., Jansen, Henrica A. F. M., Jassal, Simerjot K., Javanbakht, Mehdi, Jayaraman, Sudha P., Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Vivekanand, Jiang, Ying, Jibat, Tariku, Jin, Ye, Johnson, Catherine O., Jonas, Jost B., Kabir, Zubair, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimkhani, Chante, Kasaeian, Amir, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S., Keiyoro, Peter Njenga, Kemmer, Laura, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khatibzadeh, Shahab, Khera, Sahil, Khoja, Tawfik Ahmed Muthafer, Khubchandani, Jagdish, Kieling, Christian, Kim, Cho-Il, Kim, Daniel, Kimokoti, Ruth W., Kissoon, Niranjan, Kivipelto, Miia, Knibbs, Luke D., Kokubo, Yoshihiro, Kopec, Jacek A., Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Kromhout, Hans, Krueger, Hans, Ku, Tiffany, Defo, Barthelemy Kuate, Kuchenbecker, Ricardo S., Bicer, Burcu Kucuk, Kuipers, Ernst J., Kumar, G. Anil, Kwan, Gene F., Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lan, Qing, Larsson, Anders, Latif, Asma Abdul, Lawrynowicz, Alicia Elena Beatriz, Leasher, Janet L., Leigh, James, Leung, Janni, Levi, Miriam, Li, Xiaohong, Li, Yichong, Liang, Juan, Liu, Shiwei, Lloyd, Belinda K., Logroscino, Giancarlo, Lotufo, Paulo A., Lunevicius, Raimundas, Macintyre, Michael, Mahdavi, Mahdi, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Manamo, Wondimu Ayele Ayele, Mapoma, Chabila C., Marcenes, Wagner, Martin, Randall V., Martinez-Raga, Jose, Masiye, Felix, Matsushita, Kunihiro, Matzopoulos, Richard, Mayosi, Bongani M., Mcgrath, John J., Mckee, Martin, Meaney, Peter A., Medina, Catalina, Mehari, Alem, Mejia-Rodriguez, Fabiola, Mekonnen, Alemayehu B., Melaku, Yohannes Adama, Memish, Ziad A., Mendoza, Walter, Mensink, Gert B. M., Meretoja, Atte, Meretoja, Tuomo J., Mesfin, Yonatan Moges, Mhimbira, Francis Apolinary, Millear, Anoushka, Miller, Ted R., Mills, Edward J., Mirarefin, Mojde, Misganaw, Awoke, Mock, Charles N., Mohammadi, Alireza, Mohammed, Shafiu, Mola, Glen Liddell D., Monasta, Lorenzo, Hernandez, Julio Cesar Montañez, Montico, Marcella, Morawska, Lidia, Mori, Rintaro, Mozaffarian, Dariush, Mueller, Ulrich O., Mullany, Erin, Mumford, John Everett, Murthy, Gudlavalleti Venkata Satyanarayana, Nachega, Jean B., Naheed, Aliya, Nangia, Vinay, Nassiri, Nariman, Newton, John N., Ng, Marie, Nguyen, Quyen Le, Nisar, Muhammad Imran, Pete, Patrick Martial Nkamedjie, Norheim, Ole F., Norman, Rosana E., Norrving, Bo, Nyakarahuka, Luke, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olivares, Pedro R., Olsen, Helen, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Opio, John Nelson, Oren, Eyal, Orozco, Ricardo, Ortiz, Alberto, Ota, Erika, Pa, Mahesh, Pana, Adrian, Park, Eun-Kee, Parry, Charles D., Parsaeian, Mahboubeh, Patel, Tejas, Caicedo, Angel J. Paternina, Patil, Snehal T., Patten, Scott B., Patton, George C., Pearce, Neil, Pereira, David M., Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B., Pillay, Julian David, Plass, Dietrich, Polinder, Suzanne, Pond, Constance D., Pope, C. Arden, Pope, Daniel, Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prasad, Noela M., Qorbani, Mostafa, Rabiee, Rynaz H. S., Amir Radfar, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajsic, Sasa, Raju, Murugesan, Ram, Usha, Rana, Saleem M., Ranganathan, Kavitha, Rao, Puja, García, Christian Aspacia Razo, Refaat, Amany H., Rehm, Colin D., Rehm, Jürgen, Reinig, Nikolas, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L., Rivera, Juan A., Roba, Hirbo Shore, Rodriguez, Alina, Rodriguez-Ramirez, Sonia, Rojas-Rueda, David, Roman, Yesenia, Ronfani, Luca, Roshandel, Gholamreza, Rothenbacher, Dietrich, Roy, Ambuj, Saleh, Muhammad Muhammad, Sanabria, Juan R., Sanchez-Riera, Lidia, Sanchez-Niño, Maria Dolores, Sánchez-Pimienta, Tania G., Sandar, Logan, Santomauro, Damian F., Santos, Itamar S., Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Schmidhuber, Josef, Schmidt, Maria Inês, Schneider, Ione J. C., Schöttker, Ben, Schutte, Aletta E., Schwebel, David C., Scott, James G., Seedat, Soraya, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shaddick, Gavin, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Levy, Teresa Shamah, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Sheth, Kevin N., Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga Dora, Silva, Diego Augusto Santos, Silveira, Dayane Gabriele Alves, Silverberg, Jonathan I., Simard, Edgar P., Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A., Singh, Prashant Kumar, Slepak, Erica Leigh, Soljak, Michael, Soneji, Samir, Sorensen, Reed J. D., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stathopoulou, Vasiliki, Steckling, Nadine, Steel, Nicholas, Stein, Dan J., Stein, Murray B., Stöckl, Heidi, Stranges, Saverio, Stroumpoulis, Konstantinos, Sunguya, Bruno F., Swaminathan, Soumya, Sykes, Bryan L., Szoeke, Cassandra E. I., Tabarés-Seisdedos, Rafael, Takahashi, Ken, Talongwa, Roberto Tchio, Tandon, Nikhil, Tanne, David, Tavakkoli, Mohammad, Taye, Belaynew Wasie, Taylor, Hugh R., Tedla, Bemnet Amare, Tefera, Worku Mekonnen, Tegegne, Teketo Kassaw, Tekle, Dejen Yemane, Terkawi, Abdullah Sulieman, Thakur, J. S., Thomas, Bernadette A., Thomas, Matthew Lloyd, Thomson, Alan J., Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Tillmann, Taavi, Tobe-Gai, Ruoyan, Tobollik, Myriam, Topor-Madry, Roman, Topouzis, Fotis, Towbin, Jeffrey Allen, Tran, Bach Xuan, Dimbuene, Zacharie Tsala, Tsilimparis, Nikolaos, Tura, Abera Kenay, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley N., Undurraga, Eduardo A., Uneke, Chigozie Jesse, Uthman, Olalekan A., Donkelaar, Aaron, Os, Jim, Varakin, Yuri Y., Vasankari, Tommi, Veerman, J. Lennert, Venketasubramanian, Narayanaswamy, Violante, Francesco S., Vollset, Stein Emil, Wagner, Gregory R., Waller, Stephen G., Wang, Jian Li, Wang, Linhong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A., Wijeratne, Tissa, Wiysonge, Charles Shey, Wolfe, Charles D. A., Won, Sungho, Woolf, Anthony D., Wubshet, Mamo, Xavier, Denis, Xu, Gelin, Yadav, Ajit Kumar, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zhu, Jun, Zipkin, Ben, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Murray, Christopher J. 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Jee-Young Jasmine, Christensen, Hanne, Christopher, Devasahayam Jesuda, Ciobanu, Liliana G, Coates, Matthew M, Colquhoun, Samantha M, Cooper, Leslie Trumbull, Cooperrider, Kimberly, Cornaby, Leslie, Cortinovis, Monica, Crump, John A, Cuevas-Nasu, Lucia, Damasceno, Albertino, Dandona, Rakhi, Darby, Sarah C, Dargan, Paul I, das Neves, José, Davis, Adrian C, Davletov, Kairat, de Castro, E Filipa, De la Cruz-Góngora, Vanessa, De Leo, Diego, Degenhardt, Louisa, Del Gobbo, Liana C, del Pozo-Cruz, Borja, Dellavalle, Robert P, Deribew, Amare, Jarlais, Don C De, Dharmaratne, Samath D, Dhillon, Preet K, Diaz-Torné, Cesar, Dicker, Daniel, Ding, Eric L, Dorsey, E Ray, Doyle, Kerrie E, Driscoll, Tim R, Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Elyazar, Iqbal, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshrati, Babak, Esteghamati, Alireza, Fahimi, Saman, Faraon, Emerito Jose Aquino, Farid, Talha A, Farinha, Carla Sofia e Sa, Faro, André, Farvid, Maryam S, Farzadfar, Farshad, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G, Fischer, Florian, Fitchett, Joseph R A, Fleming, Tom, Foigt, Nataliya, Foreman, Kyle, Fowkes, F Gerry R, Franklin, Richard C, Fürst, Thoma, Futran, Neal D, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Geleijnse, Johanna M, Gessner, Bradford D, Giref, Ababi Zergaw, Giroud, Maurice, Gishu, Melkamu Dedefo, Goenka, Shifalika, Gomez-Cabrera, Mari Carmen, Gomez-Dantes, Hector, Gona, Philimon, Goodridge, Amador, Gopalani, Sameer Vali, Gotay, Carolyn C, Goto, Atsushi, Gouda, Hebe N, Gugnani, Harish Chander, Guillemin, Franci, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A, Haagsma, Juanita A, Hafezi-Nejad, Nima, Haile, Demewoz, Hailu, Gessessew Bugssa, Halasa, Yara A, Hamadeh, Randah Ribhi, Hamidi, Samer, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Hassen, Tahir Ahmed, Havmoeller, Rasmu, Heredia-Pi, Ileana Beatriz, Hernández-Llanes, Norberto Francisco, Heydarpour, Pouria, Hoek, Hans W, Hoffman, Howard J, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hoy, Damian G, Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Husseini, Abdullatif, Hutchings, Sally J, Huybrechts, Inge, Iburg, Kim Moesgaard, Idrisov, Bulat T, Ileanu, Bogdan Vasile, Inoue, Manami, Jacobs, Troy A, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, Jansen, Henrica A F M, Jassal, Simerjot K, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Vivekanand, Jiang, Ying, Jibat, Tariku, Jin, Ye, Johnson, Catherine O, Jonas, Jost B, Kabir, Zubair, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimkhani, Chante, Kasaeian, Amir, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S, Keiyoro, Peter Njenga, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khatibzadeh, Shahab, Khera, Sahil, Khoja, Tawfik Ahmed Muthafer, Khubchandani, Jagdish, Kieling, Christian, Kim, Cho-il, Kim, Daniel, Kimokoti, Ruth W, Kissoon, Niranjan, Kivipelto, Miia, Knibbs, Luke D, Kokubo, Yoshihiro, Kopec, Jacek A, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Kromhout, Han, Krueger, Han, Ku, Tiffany, Defo, Barthelemy Kuate, Kuchenbecker, Ricardo S, Bicer, Burcu Kucuk, Kuipers, Ernst J, Kumar, G Anil, Kwan, Gene F, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lan, Qing, Larsson, Ander, Latif, Asma Abdul, Lawrynowicz, Alicia Elena Beatriz, Leasher, Janet L, Leigh, Jame, Leung, Janni, Levi, Miriam, Li, Xiaohong, Li, Yichong, Liang, Juan, Liu, Shiwei, Lloyd, Belinda K, Logroscino, Giancarlo, Lotufo, Paulo A, Lunevicius, Raimunda, Macintyre, Michael, Mahdavi, Mahdi, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Manamo, Wondimu Ayele Ayele, Mapoma, Chabila C, Marcenes, Wagner, Martin, Randall V, Martinez-Raga, Jose, Masiye, Felix, Matsushita, Kunihiro, Matzopoulos, Richard, Mayosi, Bongani M, Mcgrath, John J, Mckee, Martin, Meaney, Peter A, Medina, Catalina, Mehari, Alem, Mejia-Rodriguez, Fabiola, Mekonnen, Alemayehu B, Melaku, Yohannes Adama, Memish, Ziad A, Mendoza, Walter, Mensink, Gert B M, Meretoja, Atte, Meretoja, Tuomo J, Mesfin, Yonatan Moge, Mhimbira, Francis Apolinary, Miller, Ted R, Mills, Edward J, Mirarefin, Mojde, Misganaw, Awoke, Mock, Charles N, Mohammadi, Alireza, Mohammed, Shafiu, Mola, Glen Liddell D, Monasta, Lorenzo, Hernandez, Julio Cesar Montañez, Montico, Marcella, Morawska, Lidia, Mori, Rintaro, Mozaffarian, Dariush, Mueller, Ulrich O, Mullany, Erin, Mumford, John Everett, Murthy, Gudlavalleti Venkata Satyanarayana, Nachega, Jean B, Naheed, Aliya, Nangia, Vinay, Nassiri, Nariman, Newton, John N, Ng, Marie, Nguyen, Quyen Le, Nisar, Muhammad Imran, Pete, Patrick Martial Nkamedjie, Norheim, Ole F, Norman, Rosana E, Norrving, Bo, Nyakarahuka, Luke, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olivares, Pedro R, Olsen, Helen, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Opio, John Nelson, Oren, Eyal, Orozco, Ricardo, Ortiz, Alberto, Ota, Erika, Pa, Mahesh, Pana, Adrian, Park, Eun-Kee, Parry, Charles D, Parsaeian, Mahboubeh, Patel, Teja, Caicedo, Angel J Paternina, Patil, Snehal T, Patten, Scott B, Patton, George C, Pearce, Neil, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B, Pillay, Julian David, Plass, Dietrich, Polinder, Suzanne, Pond, Constance D, Pope, C Arden, Pope, Daniel, Popova, Svetlana, Poulton, Richie G, Pourmalek, Farshad, Prasad, Noela M, Qorbani, Mostafa, Rabiee, Rynaz H S, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajsic, Sasa, Raju, Murugesan, Ram, Usha, Rana, Saleem M, Ranganathan, Kavitha, Rao, Puja, García, Christian Aspacia Razo, Refaat, Amany H, Rehm, Colin D, Rehm, Jürgen, Reinig, Nikola, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L, Rivera, Juan A, Roba, Hirbo Shore, Rodriguez, Alina, Rodriguez-Ramirez, Sonia, Rojas-Rueda, David, Roman, Yesenia, Ronfani, Luca, Roshandel, Gholamreza, Rothenbacher, Dietrich, Roy, Ambuj, Saleh, Muhammad Muhammad, Sanabria, Juan R, Sanchez-Niño, Maria Dolore, Sánchez-Pimienta, Tania G, Sandar, Logan, Santomauro, Damian F, Santos, Itamar S, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Schmidhuber, Josef, Schmidt, Maria Inê, Schneider, Ione J C, Schöttker, Ben, Schutte, Aletta E, Schwebel, David C, Scott, James G, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Levy, Teresa Shamah, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Sheth, Kevin N, Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silveira, Dayane Gabriele Alve, Silverberg, Jonathan I, Simard, Edgar P, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A, Singh, Prashant Kumar, Slepak, Erica Leigh, Soljak, Michael, Soneji, Samir, Sorensen, Reed J D, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki, Steckling, Nadine, Steel, Nichola, Stein, Dan J, Stein, Murray B, Stöckl, Heidi, Stranges, Saverio, Stroumpoulis, Konstantino, Sunguya, Bruno F, Swaminathan, Soumya, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Takahashi, Ken, Talongwa, Roberto Tchio, Tandon, Nikhil, Tanne, David, Tavakkoli, Mohammad, Taye, Belaynew Wasie, Taylor, Hugh R, Tedla, Bemnet Amare, Tefera, Worku Mekonnen, Tegegne, Teketo Kassaw, Tekle, Dejen Yemane, Terkawi, Abdullah Sulieman, Thakur, J.S., Thomas, Bernadette A, Thomas, Matthew Lloyd, Thomson, Alan J, Thorne-Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tillmann, Taavi, Tobe-Gai, Ruoyan, Tobollik, Myriam, Topor-Madry, Roman, Topouzis, Foti, Towbin, Jeffrey Allen, Tran, Bach Xuan, Dimbuene, Zacharie Tsala, Tsilimparis, Nikolao, Tura, Abera Kenay, Tuzcu, Emin Murat, Tyrovolas, Stefano, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uneke, Chigozie Jesse, Uthman, Olalekan A, van Donkelaar, Aaron, van Os, Jim, Varakin, Yuri Y, Vasankari, Tommi, Veerman, J Lennert, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vollset, Stein Emil, Wagner, Gregory R, Waller, Stephen G, Wang, Jian Li, Wang, Linhong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wijeratne, Tissa, Wiysonge, Charles Shey, Wolfe, Charles D A, Won, Sungho, Woolf, Anthony D, Wubshet, Mamo, Xavier, Deni, Xu, Gelin, Yadav, Ajit Kumar, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zhu, Jun, Zipkin, Ben, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Murray, Christopher J L, Public Health, Gastroenterology & Hepatology, Health Services Management & Organisation (HSMO), Psychiatry, Kardiyoloji, RS: MHeNs - R2 - Mental Health, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), and Psychiatrie & Neuropsychologie

Subjects
Blood Glucose, Alcohol Drinking, Global Health, Risk Assessment, Body Mass Index, Middle East, Life Expectancy, Risk-Taking, Africa, Northern, General & Internal Medicine, Quality-Adjusted Life Year, Occupational Exposure, Africa South of the Sahara, Medicine(all), Unsafe Sex, Risk Factor, Medicine (all), Malnutrition, Smoking, Public Health, Global Health, Social Medicine and Epidemiology, Sodium, Dietary, Articles, 11 Medical And Health Sciences, Biomarker, Environmental Exposure, Substance-Related Disorder, Cost of Illne, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Cholesterol, Air Pollution, Indoor, Hypertension, Disabled Person, Human
Abstract

Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57.8% (95% CI 56.6-58.8) of global deaths and 41.2% (39.8-42.8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211.8 million [192.7 million to 231.1 million] global DALYs), smoking (148.6 million [134.2 million to 163.1 million]), high fasting plasma glucose (143.1 million [125.1 million to 163.5 million]), high BMI (120.1 million [83.8 million to 158.4 million]), childhood undernutrition (113.3 million [103.9 million to 123.4 million]), ambient particulate matter (103.1 million [90.8 million to 115.1 million]), high total cholesterol (88.7 million [74.6 million to 105.7 million]), household air pollution (85.6 million [66.7 million to 106.1 million]), alcohol use (85.0 million [77.2 million to 93.0 million]), and diets high in sodium (83.0 million [49.3 million to 127.5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Copyright (C) The Author(s). Published by Elsevier Ltd.

124. Psychosis in Alzheimer's disease is associated with specific changes in brain MRI volume, cognition and neuropathology.

Author

Almeida, Francisco C., Jesus, Tiago, Coelho, Ana, Quintas-Neves, Miguel, Gauthreaux, Kathryn, Teylan, Merilee A., Mock, Charles N., Kukull, Walter A., Crary, John F., and Oliveira, Tiago Gil

Subjects
*ALZHEIMER'S disease, *NEUROLOGICAL disorders, *PSYCHOSES, *CEREBRAL atrophy, *AMYLOID plaque
Abstract

Psychosis in Alzheimer's Disease (AD) is prevalent and indicates poor prognosis. However, the neuropathological, cognitive and brain atrophy patterns underlying these symptoms have not been fully elucidated. In this study, we evaluated 178 patients with AD neuropathological change (ADNC) and ante-mortem volumetric brain magnetic resonance imaging (MRI). Presence of psychosis was determined using the Neuropsychiatric Inventory Questionnaire. Clinical Dementia Rating Sum-of-boxes (CDR-SB) was longitudinally compared between groups with a follow-up of 3000 days using mixed-effects multiple linear regression. Neuropsychological tests closest to the time of MRI and brain regional volumes were cross-sectionally compared. Psychosis was associated with lower age of death, higher longitudinal CDR-SB scores, multi-domain cognitive deficits, higher neuritic plaque severity, Braak stage, Lewy Body pathology (LB) and right temporal lobe regional atrophy. Division according to the presence of LB showed differential patterns of AD-typical pathology, cognitive deficits and regional atrophy. In conclusion, psychosis in ADNC with and without LB has clinical value and associates with subgroup patterns of neuropathology, cognition and regional atrophy. • Psychosis in AD is prevalent and associates with worse prognosis. • Psychosis in AD associates with neuropathological heterogeneity. • Psychosis in AD has differential cognitive symptoms and brain atrophy. [ABSTRACT FROM AUTHOR]

Published
2024
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125. Global and national Burden of diseases and injuries among children and adolescents between 1990 and 2013

Author

Kyu, Hmwe H., Pinho, Christine, Wagner, Joseph A., Brown, Jonathan C., Bertozzi-Villa, Amelia, Charlson, Fiona J., Coffeng, Luc Edgar, Dandona, Lalit, Erskine, Holly E., Ferrari, Alize J., Fitzmaurice, Christina, Fleming, Thomas D., Forouzanfar, Mohammad H., Graetz, Nicholas, Guinovart, Caterina, Haagsma, Juanita, Higashi, Hideki, Kassebaum, Nicholas J., Larson, Heidi J., Lim, Stephen S., Mokdad, Ali H., Moradi-Lakeh, Maziar, Odell, Shaun V., Roth, Gregory A., Serina, Peter T., Stanaway, Jeffrey D., Misganaw, Awoke, Whiteford, Harvey A., Wolock, Timothy M., Wulf Hanson, Sarah, Abd-Allah, Foad, Abera, Semaw Ferede, Abu-Raddad, Laith J., AlBuhairan, Fadia S., Amare, Azmeraw T., Antonio, Carl Abelardo T., Artaman, Al, Barker-Collo, Suzanne L., Barrero, Lope H., Benjet, Corina, Bensenor, Isabela M., Bhutta, Zulfiqar A., Bikbov, Boris, Brazinova, Alexandra, Campos-Nonato, Ismael, Castañeda-Orjuela, Carlos A., Catalá-López, Ferrán, Chowdhury, Rajiv, Cooper, Cyrus, Crump, John A., Dandona, Rakhi, Degenhardt, Louisa, Dellavalle, Robert P., Dharmaratne, Samath D., Faraon, Emerito Jose A., Feigin, Valery L., Fürst, Thomas, Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Goto, Atsushi, Gunnell, David, Hankey, Graeme J., Hay, Roderick J., Hornberger, John C., Hosgood, H. Dean, Hu, Guoqing, Jacobsen, Kathryn H., Jayaraman, Sudha P., Jeemon, Panniyammakal, Jonas, Jost B., Karch, André, Kim, Daniel, Kim, Sungroul, Kokubo, Yoshihiro, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G. Anil, Larsson, Anders, Leasher, Janet L., Leung, Ricky, Li, Yongmei, Lipshultz, Steven E., Lopez, Alan D., Lotufo, Paulo A., Lunevicius, Raimundas, Lyons, Ronan A., Majdan, Marek, Malekzadeh, Reza, Mashal, Taufiq, Mason-Jones, Amanda J., Melaku, Yohannes Adama, Memish, Ziad A., Mendoza, Walter, Miller, Ted R., Mock, Charles N., Murray, Joseph, Nolte, Sandra, Oh, In-Hwan, Olusanya, Bolajoko Olubukunola, Ortblad, Katrina F., Park, Eun-Kee, Paternina Caicedo, Angel J., Patten, Scott B., Patton, George C., Pereira, David M., Perico, Norberto, Piel, Frédéric B., Polinder, Suzanne, Popova, Svetlana, Pourmalek, Farshad, Quistberg, D. Alex, Remuzzi, Giuseppe, Rodriguez, Alina, Rojas-Rueda, David, Rothenbacher, Dietrich, Rothstein, David H., Sanabria, Juan, Santos, Itamar S., Schwebel, David C., Sepanlou, Sadaf G., Shaheen, Amira, Shiri, Rahman, Shiue, Ivy, Skirbekk, Vegard, Sliwa, Karen, Sreeramareddy, Chandrashekhar T., Stein, Dan J., Steiner, Timothy J., Stovner, Lars Jacob, Sykes, Bryan L., Tabb, Karen M., Terkawi, Abdullah Sulieman, Thomson, Alan J., Thorne-Lyman, Andrew L., Towbin, Jeffrey Allen, Ukwaja, Kingsley Nnanna, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wilkinson, James D., Woldeyohannes, Solomon Meseret, Wolfe, Charles D. A., Yano, Yuichiro, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, El Sayed Zaki, Maysaa, Naghavi, Mohsen, Murray, Christopher J. L., Vos, Theo, Kyu, Hmwe H., Pinho, Christine, Wagner, Joseph A., Brown, Jonathan C., Bertozzi-Villa, Amelia, Charlson, Fiona J., Coffeng, Luc Edgar, Dandona, Lalit, Erskine, Holly E., Ferrari, Alize J., Fitzmaurice, Christina, Fleming, Thomas D., Forouzanfar, Mohammad H., Graetz, Nicholas, Guinovart, Caterina, Haagsma, Juanita, Higashi, Hideki, Kassebaum, Nicholas J., Larson, Heidi J., Lim, Stephen S., Mokdad, Ali H., Moradi-Lakeh, Maziar, Odell, Shaun V., Roth, Gregory A., Serina, Peter T., Stanaway, Jeffrey D., Misganaw, Awoke, Whiteford, Harvey A., Wolock, Timothy M., Wulf Hanson, Sarah, Abd-Allah, Foad, Abera, Semaw Ferede, Abu-Raddad, Laith J., AlBuhairan, Fadia S., Amare, Azmeraw T., Antonio, Carl Abelardo T., Artaman, Al, Barker-Collo, Suzanne L., Barrero, Lope H., Benjet, Corina, Bensenor, Isabela M., Bhutta, Zulfiqar A., Bikbov, Boris, Brazinova, Alexandra, Campos-Nonato, Ismael, Castañeda-Orjuela, Carlos A., Catalá-López, Ferrán, Chowdhury, Rajiv, Cooper, Cyrus, Crump, John A., Dandona, Rakhi, Degenhardt, Louisa, Dellavalle, Robert P., Dharmaratne, Samath D., Faraon, Emerito Jose A., Feigin, Valery L., Fürst, Thomas, Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Goto, Atsushi, Gunnell, David, Hankey, Graeme J., Hay, Roderick J., Hornberger, John C., Hosgood, H. Dean, Hu, Guoqing, Jacobsen, Kathryn H., Jayaraman, Sudha P., Jeemon, Panniyammakal, Jonas, Jost B., Karch, André, Kim, Daniel, Kim, Sungroul, Kokubo, Yoshihiro, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G. Anil, Larsson, Anders, Leasher, Janet L., Leung, Ricky, Li, Yongmei, Lipshultz, Steven E., Lopez, Alan D., Lotufo, Paulo A., Lunevicius, Raimundas, Lyons, Ronan A., Majdan, Marek, Malekzadeh, Reza, Mashal, Taufiq, Mason-Jones, Amanda J., Melaku, Yohannes Adama, Memish, Ziad A., Mendoza, Walter, Miller, Ted R., Mock, Charles N., Murray, Joseph, Nolte, Sandra, Oh, In-Hwan, Olusanya, Bolajoko Olubukunola, Ortblad, Katrina F., Park, Eun-Kee, Paternina Caicedo, Angel J., Patten, Scott B., Patton, George C., Pereira, David M., Perico, Norberto, Piel, Frédéric B., Polinder, Suzanne, Popova, Svetlana, Pourmalek, Farshad, Quistberg, D. Alex, Remuzzi, Giuseppe, Rodriguez, Alina, Rojas-Rueda, David, Rothenbacher, Dietrich, Rothstein, David H., Sanabria, Juan, Santos, Itamar S., Schwebel, David C., Sepanlou, Sadaf G., Shaheen, Amira, Shiri, Rahman, Shiue, Ivy, Skirbekk, Vegard, Sliwa, Karen, Sreeramareddy, Chandrashekhar T., Stein, Dan J., Steiner, Timothy J., Stovner, Lars Jacob, Sykes, Bryan L., Tabb, Karen M., Terkawi, Abdullah Sulieman, Thomson, Alan J., Thorne-Lyman, Andrew L., Towbin, Jeffrey Allen, Ukwaja, Kingsley Nnanna, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wilkinson, James D., Woldeyohannes, Solomon Meseret, Wolfe, Charles D. A., Yano, Yuichiro, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, El Sayed Zaki, Maysaa, Naghavi, Mohsen, Murray, Christopher J. L., and Vos, Theo

Abstract

Importance The literature focuses on mortality among children younger than 5 years. Comparable information on nonfatal health outcomes among these children and the fatal and nonfatal burden of diseases and injuries among older children and adolescents is scarce. Objective To determine levels and trends in the fatal and nonfatal burden of diseases and injuries among younger children (aged <5 years), older children (aged 5-9 years), and adolescents (aged 10-19 years) between 1990 and 2013 in 188 countries from the Global Burden of Disease (GBD) 2013 study. Evidence Review Data from vital registration, verbal autopsy studies, maternal and child death surveillance, and other sources covering 14 244 site-years (ie, years of cause of death data by geography) from 1980 through 2013 were used to estimate cause-specific mortality. Data from 35 620 epidemiological sources were used to estimate the prevalence of the diseases and sequelae in the GBD 2013 study. Cause-specific mortality for most causes was estimated using the Cause of Death Ensemble Model strategy. For some infectious diseases (eg, HIV infection/AIDS, measles, hepatitis B) where the disease process is complex or the cause of death data were insufficient or unavailable, we used natural history models. For most nonfatal health outcomes, DisMod-MR 2.0, a Bayesian metaregression tool, was used to meta-analyze the epidemiological data to generate prevalence estimates. Findings Of the 7.7 (95% uncertainty interval [UI], 7.4-8.1) million deaths among children and adolescents globally in 2013, 6.28 million occurred among younger children, 0.48 million among older children, and 0.97 million among adolescents. In 2013, the leading causes of death were lower respiratory tract infections among younger children (905 059 deaths; 95% UI, 810 304-998 125), diarrheal diseases among older children (38 325 deaths; 95% UI, 30 365-47 678), and road injuries among adolescents (115 186 deaths; 95% UI, 105 185-124 870). Iron deficiency

126. Correction to: A Global Assessment of Access to and Use of Medical Information: The State of Evidence-Based Surgery.

Author

LaGrone, Lacey N., Fuhs, Amy K., Egoavil, Eduardo Huaman, Langdale, Lorrie A., Fuangworawong, Phupit, Hamasaki, Jose Luis, Gyedu, Adam, and Mock, Charles N.

Subjects
EVIDENCE-based medicine, SURGERY
Abstract

In the original article some funding information was inadvertently omitted. The complete funding information is as follows: [ABSTRACT FROM AUTHOR]

Published
2018
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127. Universal health coverage and intersectoral action for health: key messages from Disease Control Priorities, 3rd edition.

Author

Jamison, Dean T., Alwan, Ala, Mock, Charles N., Nugent, Rachel, Watkins, David, Adeyi, Olusoji, Anand, Shuchi, Atun, Rifat, Bertozzi, Stefano, Bhutta, Zulfiqar, Binagwaho, Agnes, Black, Robert, Blecher, Mark, Bloom, Barry R., Brouwer, Elizabeth, Bundy, Donald A. P., Chisholm, Dan, Cieza, Alarcos, Cullen, Mark, and Danforth, Kristen

Subjects
*HEALTH promotion, *HEALTH education, *PUBLIC health, *HEALTH literacy, *HEALTH programs, *PHYSICAL activity
Abstract

The World Bank is publishing nine volumes of Disease Control Priorities, 3rd edition (DCP3) between 2015 and 2018. Volume 9, Improving Health and Reducing Poverty, summarises the main messages from all the volumes and contains cross-cutting analyses. This Review draws on all nine volumes to convey conclusions. The analysis in DCP3 is built around 21 essential packages that were developed in the nine volumes. Each essential package addresses the concerns of a major professional community (eg, child health or surgery) and contains a mix of intersectoral policies and health-sector interventions. 71 intersectoral prevention policies were identified in total, 29 of which are priorities for early introduction. Interventions within the health sector were grouped onto five platforms (population based, community level, health centre, first-level hospital, and referral hospital). DCP3 defines a model concept of essential universal health coverage (EUHC) with 218 interventions that provides a starting point for country-specific analysis of priorities. Assuming steady-state implementation by 2030, EUHC in lower-middle-income countries would reduce premature deaths by an estimated 4·2 million per year. Estimated total costs prove substantial: about 9·1% of (current) gross national income (GNI) in low-income countries and 5·2% of GNI in lower-middle-income countries. Financing provision of continuing intervention against chronic conditions accounts for about half of estimated incremental costs. For lower-middle-income countries, the mortality reduction from implementing the EUHC can only reach about half the mortality reduction in non-communicable diseases called for by the Sustainable Development Goals. Full achievement will require increased investment or sustained intersectoral action, and actions by finance ministries to tax smoking and polluting emissions and to reduce or eliminate (often large) subsidies on fossil fuels appear of central importance. DCP3 is intended to be a model starting point for analyses at the country level, but country-specific cost structures, epidemiological needs, and national priorities will generally lead to definitions of EUHC that differ from country to country and from the model in this Review. DCP3 is particularly relevant as achievement of EUHC relies increasingly on greater domestic finance, with global developmental assistance in health focusing more on global public goods. In addition to assessing effects on mortality, DCP3 looked at outcomes of EUHC not encompassed by the disability-adjusted life-year metric and related cost-effectiveness analyses. The other objectives included financial protection (potentially better provided upstream by keeping people out of the hospital rather than downstream by paying their hospital bills for them), stillbirths averted, palliative care, contraception, and child physical and intellectual growth. The first 1000 days after conception are highly important for child development, but the next 7000 days are likewise important and often neglected. [ABSTRACT FROM AUTHOR]

Published
2018
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128. Standardization of Trauma, General Surgical Morbidity and Mortality Conferences: Development and Dissemination of a "Toolkit" in Peru.

Author

Zavala Wong, Gabriela, Rodriguez Castro, Manuel J., Huaman Egoavil, Eduardo, Valderrama, Roberto, Mock, Charles N., Herrera-Matta, Juan J., Aragon, Gianni, Peterson, Ryan, Jin, Ying, and LaGrone, Lacey N.

Subjects
*MIDDLE-income countries, *STANDARDIZATION, *MORTALITY, *CONFERENCES & conventions, *CODES of ethics
Abstract

Background: Morbidity and Mortality (M&M) conferences allow clinicians to review adverse events and identify areas for improvement. There are few reports of structured M&M conferences in low- and middle-income countries and no report of collaborative efforts to standardize them. Methods: The present study aims to gather general surgeons representing most of Peru's urban surgical care and, in collaboration, with trauma quality improvement experts develop a M&M conferences toolkit with the expectation that its diffusion impacts their reported clinical practice. Fourteen general surgeons developed a toolkit as part of a working group under the auspices of the Peruvian General Surgery Society. After three years, we conducted an anonymous written questionnaire to follow-up previous observations of quality improvement practices. Results: A four-component toolkit was developed: Toolkit component #1: Conference logistics and case selection; Toolkit component #2: Documenting form; Toolkit component #3: Presentation template; and Toolkit component #4: Code of conduct. The toolkit was disseminated to 10 hospitals in 2016. Its effectiveness was evaluated by comparing the results of surveys on quality improvement practices conducted in 2016, before toolkit dissemination (101 respondents) and 2019 (105 respondents). Lower attendance was reported by surgeons in 2019. However, in 2019, participants more frequently described "improve the system" as the perceived objective of M&M conferences (70.5% vs. 38.6% in 2016; p < 0.001). Conclusion: We established a toolkit for the national dissemination of a standardized M&M conference. Three years following the initial assessment in Peru, we found similar practice patterns except for increased reporting of "system improvement" as the goal of M&M conferences. [ABSTRACT FROM AUTHOR]

Published
2023
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129. Fazekas scale magnetic resonance imaging assessment in Alzheimer’s disease and primary age-related tauopathy.

Author

Quintas-Neves, Miguel, Almeida, Francisco C., Gauthreaux, Kathryn, Teylan, Merilee A., Mock, Charles N., Kukull, Walter A., Crary, John F., and Oliveira, Tiago Gil

Subjects
*CEREBRAL atrophy, *AMYLOID plaque, *MAGNETIC resonance imaging, *BRAIN diseases, *WHITE matter (Nerve tissue)
Abstract

Background: Brain vascular pathology is an important comorbidity in Alzheimer’s disease (AD), with white matter damage independently predicting cognitive impairment. However, it is still unknown how vascular pathology differentially impacts primary age-related tauopathy (PART) compared to AD. Therefore, our objectives were to compare the brain microangiopathic burden in patients with PART and AD, evaluated by MRI, while assessing its relation with neuropathological findings, patterns of brain atrophy and degree of clinical impairment.Clinical information, brain MRI (T1 and T2-FLAIR) and neuropathological data were obtained from the National Alzheimer’s Coordinating Centre ongoing study, with a total sample of 167 patients identified, that were divided according to the presence of neuritic plaques in Consortium to Establish a Registry for Alzheimer’s disease (CERAD) 0 to 3. Microangiopathic burden and brain atrophy were evaluated by two certified neuroradiologists, using, respectively, the Fazekas score and previously validated visual rating scales to assess brain regional atrophy.Significant correlations were found between the Fazekas score and atrophy in the fronto-insular and medial temporal regions on both groups, with PART showing overall stronger positive correlations than in AD, especially in the fronto-insular region. For this specific cohort, no significant correlations were found between the Fazekas score and the degree of clinical impairment.Our results show that PART presents different pathological consequences at the brain microvascular level compared with AD and further supports PART as an independent pathological entity from AD.Methods: Brain vascular pathology is an important comorbidity in Alzheimer’s disease (AD), with white matter damage independently predicting cognitive impairment. However, it is still unknown how vascular pathology differentially impacts primary age-related tauopathy (PART) compared to AD. Therefore, our objectives were to compare the brain microangiopathic burden in patients with PART and AD, evaluated by MRI, while assessing its relation with neuropathological findings, patterns of brain atrophy and degree of clinical impairment.Clinical information, brain MRI (T1 and T2-FLAIR) and neuropathological data were obtained from the National Alzheimer’s Coordinating Centre ongoing study, with a total sample of 167 patients identified, that were divided according to the presence of neuritic plaques in Consortium to Establish a Registry for Alzheimer’s disease (CERAD) 0 to 3. Microangiopathic burden and brain atrophy were evaluated by two certified neuroradiologists, using, respectively, the Fazekas score and previously validated visual rating scales to assess brain regional atrophy.Significant correlations were found between the Fazekas score and atrophy in the fronto-insular and medial temporal regions on both groups, with PART showing overall stronger positive correlations than in AD, especially in the fronto-insular region. For this specific cohort, no significant correlations were found between the Fazekas score and the degree of clinical impairment.Our results show that PART presents different pathological consequences at the brain microvascular level compared with AD and further supports PART as an independent pathological entity from AD.Results: Brain vascular pathology is an important comorbidity in Alzheimer’s disease (AD), with white matter damage independently predicting cognitive impairment. However, it is still unknown how vascular pathology differentially impacts primary age-related tauopathy (PART) compared to AD. Therefore, our objectives were to compare the brain microangiopathic burden in patients with PART and AD, evaluated by MRI, while assessing its relation with neuropathological findings, patterns of brain atrophy and degree of clinical impairment.Clinical information, brain MRI (T1 and T2-FLAIR) and neuropathological data were obtained from the National Alzheimer’s Coordinating Centre ongoing study, with a total sample of 167 patients identified, that were divided according to the presence of neuritic plaques in Consortium to Establish a Registry for Alzheimer’s disease (CERAD) 0 to 3. Microangiopathic burden and brain atrophy were evaluated by two certified neuroradiologists, using, respectively, the Fazekas score and previously validated visual rating scales to assess brain regional atrophy.Significant correlations were found between the Fazekas score and atrophy in the fronto-insular and medial temporal regions on both groups, with PART showing overall stronger positive correlations than in AD, especially in the fronto-insular region. For this specific cohort, no significant correlations were found between the Fazekas score and the degree of clinical impairment.Our results show that PART presents different pathological consequences at the brain microvascular level compared with AD and further supports PART as an independent pathological entity from AD.Conclusion: Brain vascular pathology is an important comorbidity in Alzheimer’s disease (AD), with white matter damage independently predicting cognitive impairment. However, it is still unknown how vascular pathology differentially impacts primary age-related tauopathy (PART) compared to AD. Therefore, our objectives were to compare the brain microangiopathic burden in patients with PART and AD, evaluated by MRI, while assessing its relation with neuropathological findings, patterns of brain atrophy and degree of clinical impairment.Clinical information, brain MRI (T1 and T2-FLAIR) and neuropathological data were obtained from the National Alzheimer’s Coordinating Centre ongoing study, with a total sample of 167 patients identified, that were divided according to the presence of neuritic plaques in Consortium to Establish a Registry for Alzheimer’s disease (CERAD) 0 to 3. Microangiopathic burden and brain atrophy were evaluated by two certified neuroradiologists, using, respectively, the Fazekas score and previously validated visual rating scales to assess brain regional atrophy.Significant correlations were found between the Fazekas score and atrophy in the fronto-insular and medial temporal regions on both groups, with PART showing overall stronger positive correlations than in AD, especially in the fronto-insular region. For this specific cohort, no significant correlations were found between the Fazekas score and the degree of clinical impairment.Our results show that PART presents different pathological consequences at the brain microvascular level compared with AD and further supports PART as an independent pathological entity from AD. [ABSTRACT FROM AUTHOR]

Published
2024
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130. Divergent magnetic resonance imaging atrophy patterns in Alzheimer's disease and primary age-related tauopathy.

Author

Quintas-Neves, Miguel, Teylan, Merilee A., Morais-Ribeiro, Rafaela, Almeida, Francisco, Mock, Charles N., Kukull, Walter A., Crary, John F., and Oliveira, Tiago Gil

Subjects
*ALZHEIMER'S disease, *MAGNETIC resonance imaging, *TAUOPATHIES, *CEREBRAL atrophy, *ATROPHY, *CEREBRAL amyloid angiopathy
Abstract

Our study compared brain MRI with neuropathological findings in patients with primary age-related tauopathy (PART) and Alzheimer's disease (AD), while assessing the relationship between brain atrophy and clinical impairment. We analyzed 233 participants: 32 with no plaques ("definite" PART—BRAAK stage higher than 0 and CERAD 0), and 201 cases within the AD spectrum, with 25 with sparse (CERAD 1), 76 with moderate (CERAD 2), and 100 with severe (CERAD 3) degrees of neuritic plaques. Upon correcting for age, sex, and age difference at MRI and death, there were significantly higher levels of atrophy in CERAD 3 compared to CERAD 1–2 and a trend compared to PART (p = 0.06). In the anterior temporal region, there was a trend for higher levels of atrophy in PART compared to Alzheimer's disease spectrum cases with CERAD 1 (p = 0.08). We then assessed the correlation between regional brain atrophy and CDR sum of boxes score for PART and AD, and found that overall cognition deficits are directly correlated with regional atrophy in the AD continuum, but not in definite PART. We further observed correlations between regional brain atrophy with multiple neuropsychological metrics in AD, with PART showing specific correlations between language deficits and anterior temporal atrophy. Overall, these findings support PART as an independent pathologic process from AD. [ABSTRACT FROM AUTHOR]

Published
2022
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131. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013

Author

Meghan D. Mooney, Ken Takahashi, Andrea Stewart, Jonathan C Brown, Shireen Sindi, Amany H Refaat, Ruben Castro, Sara Sheikhbahaei, Kyle R. Heuton, Gillian M. Hansen, Chante Karimkhani, Bryan K. Phillips, Ibrahim Abubakar, Yohannes Kinfu, Victoria F Bachman, Konstantinos Stroumpoulis, Megan Coggeshall, Lucía Cuevas-Nasu, Yichong Li, Vineet K. Chadha, Andrew G. M. Bulloch, Takayoshi Ohkubo, Don C. Des Jarlais, Giancarlo Logroscino, Francis Apolinary Mhimbira, Jefferson G Fernandes, Cheng Huang, Ejaz Ahmad Khan, Fortuné Gbètoho Gankpé, Roderick J Hay, Itamar S. Santos, Zanfina Ademi, Fiona J Charlson, Norlinah Mohamed Ibrahim, Anwar Rafay, Andrew L. Thorne-Lyman, Juanita A. Haagsma, Emmanuel A. Ameh, John J. McGrath, Massimo Cirillo, Wubegzier Mekonnen, Holly Hagan, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Dietrich Plass, Matias Trillini, David Phillips, Braden Te Ao, Wanqing Chen, Yun Jin Kim, David Rojas-Rueda, Christina Papachristou, Andrew E. Moran, Richard A. Gosselin, Maziar Moradi-Lakeh, Soraya Seedat, Janet L Leasher, Belinda K Lloyd, Lorenzo Monasta, Bruno F. Sunguya, Eun-Kee Park, Eduardo A. Undurraga, Mohammad A. AlMazroa, Mohammad H. Forouzanfar, Young-Ho Khang, Vasiliki Stathopoulou, Dima M. Qato, James Scott, Ileana Heredia-Pi, Luca Ronfani, Haidong Kan, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Taavi Tillmann, Wang Wenzhi, Neil Pearce, Eric Y. Tenkorang, Aliya Naheed, Ferrán Catalá-López, Sudan Prasad Neupane, Emily Dansereau, Michael McKee, Derrick A Bennett, Mazeda Hossain, Paul S. F. Yip, Grant Nguyen, Norberto Perico, Miguel Angel Alegretti, Babak Eshrati, Boris Bikbov, Palwasha Anwari, Guoqing Hu, Amelia Bertozzi-Villa, Peter A. Meaney, Farshad Farzadfar, Svetlana Popova, Tara Templin, Hmwe H Kyu, Uche S. Uchendu, Kebede Deribe, Sergey Soshnikov, Nobhojit Roy, Daniel Kim, Ilana N. Ackerman, Homie Razavi, Leslie T. Cooper, Sandra Nolte, David T. Felson, John J Huang, Yang Liu, Fiorella Cavalleri, Adrian Davis, Héctor Gómez Dantés, Klara Dokova, Yuantao Hao, Catalina Medina, Austin E Schumacher, Stan Biryukov, Jane Rowley, Arindam Basu, Jose C. Adsuar, Rosana E. Norman, Yousef Khader, Rafael Alfonso-Cristancho, Sukanta Saha, Simón Barquera, Diego Gonzalez-Medina, Philip B. Mitchell, Lars Barregard, Haidong Wang, Yongmei Li, Ami R. Moore, Marie Ng, Raghib Ali, Peter T. Serina, Lijing L Yan, Ayse Abbasoglu Ozgoren, Ricky Leung, Michelle L. Bell, Tim Driscoll, Azmeraw T. Amare, Farshad Pourmalek, Tea Lallukka, Benjamin O Anderson, Raimundas Lunevicius, Corine Karema, Robert G. Weintraub, Erin C Mullany, Anders Larsson, Glen Mola, Paulo A. Lotufo, Luke Nyakarahuka, Sayed Saidul Alam, Louisa Degenhardt, Hugh R. Taylor, E. Ray Dorsey, Suzanne Polinder, Hilton Lam, Urbano Fra Paleo, David Zonies, Rahman Shiri, Marco A Avila, Alicia Elena Beatriz Lawrynowicz, Katya Anne Shackelford, Lynne Gaffikin, Konstantin Kazanjan, Mark T Mackay, Jasvinder A. Singh, Bryan L. Sykes, Sadaf G. Sepanlou, Chantal Huynh, Rakhi Dandona, Logan Sandar, Lavanya Singh, Dietrich Rothenbacher, Theo Vos, Steven E. Lipshultz, Coen H. Van Gool, Peggy P. Chiang, Mark G. Shrime, Christopher J L Murray, Scott Weichenthal, Jae-Hyun Park, Samia Alhabib, Philimon Gona, Christian Kieling, Yuichiro Yano, Ronny Westerman, Thomas Truelsen, Rajeev Gupta, Megan Bohensky, Abdullatif Husseini, Qing Lan, Luke D. Knibbs, Yousef M. Elshrek, H. Ross Anderson, Guohong Jiang, Madeline L. Moyer, Vinod K. Paul, Wim H. van Brakel, Emin Murat Tuzcu, Kara Estep, Lalit Dandona, Uchechukwu K.A. Sampson, Mohammad Tavakkoli, Ying Jiang, Joseph A Wagner, Mitsuru Mukaigawara, In-Hwan Oh, Siyi Shangguan, Noela M. Prasad, Charles D.A. Wolfe, Borja del Pozo-Cruz, Gokalp Kadri Yentur, Hilda L Harb, Elena Alvarez, Carlos A Castañeda-Orjuela, Mustafa Z. Younis, Herbert C. Duber, Erica Leigh Slepak, George A. Mensah, Knud Juel, Graeme J. Hankey, Natan M. Bornstein, Martha Híjar, Johan Ärnlöv, Mohamed Hsairi, Katherine T. Lofgren, Murray B. Stein, Renata Micha, Luigi Naldi, Margreet ten Have, Bolajoko O. Olusanya, Kyle J Foreman, Kenji Shibuya, F. Gerry R. Fowkes, Abdullah Sulieman Terkawi, Rana J. Asghar, Karen M. Tabb, Kovin Naidoo, Rogelio Pérez-Padilla, Honglei Chen, Antônio Luiz Pinho Ribeiro, Rasmus Havmoeller, Yukito Shinohara, Bongani M. Mayosi, Ernst J Kuipers, Konrad Pesudovs, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Thomas D. Fleming, Pouria Heydarpour, Stephen G. Waller, Nicholas Graetz, Chanda Kulkarni, Peter Brooks, Gulfaraz Khan, Marcel Tanner, Van C. Lansingh, François Alla, Jamie Hancock, Yohannes Adama Melaku, Neeraj Bedi, Anthony D. Woolf, Tariku Jibat Beyene, Amanda W Pain, Eric L. 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A, Boyers, Lindsay N, Brayne, Carol E, Breitborde, Nicholas J. K, Briggs, Adam D, Brooks, Peter M, Brown, Jonathan C, Brugha, Traolach S, Buckle, Geoffrey C, Budke, Christine M, Bulloch, Andrew G, Campos Nonato, Ismael R, Carapetis, Jonathan R, Carpenter, David O, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chiang, Peggy P, Chimed Ochir, Odgerel, Christophi, Costas A, Coates, Matthew M, Coffeng, Luc E, Coggeshall, Megan S, Colquhoun, Samantha M, Cooke, Graham S, Cooper, Leslie T, Coppola, Luis M, Criqui, Michael H, Crump, John A, Cuevas Nasu, Lucia, Dargan, Paul I, Davitoiu, Dragos V, Del Pozo Cruz, Borja, Dellavalle, Robert P, Jarlais, Don C. De, Dharmaratne, Samath D, Dherani, Mukesh K, Diaz Torné, Cesar, Ding, Eric L, Dorsey, E. Ray, Driscoll, Tim R, Duber, Herbert C, Ebel, Beth E, Edmond, Karen M, Elshrek, Yousef M, Ermakov, Sergey P, Erskine, Holly E, Faraon, Emerito Jose A, Fay, Derek F, Feigin, Valery L, Felson, David T, Fereshtehnejad, Seyed Mohammad, Fernandes, Jefferson G, Ferrari, Alize J, Flaxman, Abraham D, Fleming, Thomas D, Forouzanfar, Mohammad H, Fowkes, F. Gerry R, Paleo, Urbano Fra, Franklin, Richard C, Gankpé, Fortuné G, Geleijnse, Johanna M, Gessner, Bradford D, Gibney, Katherine B, González Medina, Diego, Gosselin, Richard A, Gotay, Carolyn C, Gouda, Hebe N, Gugnani, Harish C, Gutiérrez, Reyna A, Hafezi Nejad, Nima, Halasa, Yara A, Hamadeh, Randah R, Hankey, Graeme J, Hansen, Gillian M, Harb, Hilda L, Hay, Simon I, Hay, Roderick J, Heredia Pi, Ileana B, Heuton, Kyle R, Hoek, Hans W, Hoffman, Howard J, Hosgood, H. Dean, Hotez, Peter J, Hoy, Damian G, Huang, John J, Iannarone, Marissa L, Iburg, Kim M, Jacobsen, Kathryn H, Jarvis, Deborah L, Jassal, Simerjot K, Jensen, Paul N, Jonas, Jost B, Karema, Corine K, Kassebaum, Nicholas J, Kemp, Andrew H, Kengne, Andre P, Khader, Yousef S, Khalifa, Shams Eldin A, Khan, Ejaz A, Khang, Young Ho, Kinge, Jonas M, Knibbs, Luke D, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G. Anil, Kyu, Hmwe H, Lansingh, Van C, Lawrynowicz, Alicia E. B, Leasher, Janet L, Levitz, Carly E, Lim, Stephen S, Lipshultz, Steven E, Lloyd, Belinda K, Lofgren, Katherine T, Looker, Katharine J, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lucas, Robyn M, Lyons, Ronan A, Macintyre, Michael F, Mackay, Mark T, Margolis, David J, Marzan, Melvin B, Masci, Joseph R, Mashal, Mohammad T, Mayosi, Bongani M, Mazorodze, Tasara T, Mcgill, Neil W, Mcgrath, John J, Meaney, Peter A, Melaku, Yohannes A, Memish, Ziad A, Mensah, George A, Mhimbira, Francis A, Miller, Ted R, Mills, Edward J, Mitchell, Philip B, Mock, Charles N, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L. D, Montine, Thomas J, Mooney, Meghan D, Moore, Ami R, Moradi Lakeh, Maziar, Moran, Andrew E, Moturi, Wilkister N, Moyer, Madeline L, Msemburi, William T, Mueller, Ulrich O, Mullany, Erin C, Murdoch, Michele E, Murthy, Kinnari S, Naidoo, Kovin S, Narayan, K. M. Venkat, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, Nisar, Muhammad I, Norheim, Ole F, Norman, Rosana E, Oh, In Hwan, Ohno, Summer L, Olusanya, Bolajoko O, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Park, Eun Kee, Park, Jae Hyun, Patten, Scott B, Patton, George C, Paul, Vinod K, Pavlin, Boris I, Pereira, David M, Perez Padilla, Rogelio, Perez Ruiz, Fernando, Peterson, Carrie B, Phillips, Michael R, Phillips, Bryan K, Phillips, David E, Piel, Frédéric B, Poulton, Richie G, Prasad, Noela M, Pullan, Rachel L, Qato, Dima M, Quistberg, D. Alex, Rahman, Sajjad U, Rana, Saleem M, Reddy, K. Srinath, Ribeiro, Antonio L, Roberts, D. Allen, Rojas Rueda, David, Roth, Gregory A, Rothstein, David H, Rowley, Jane T, Ruhago, George M, Saeedi, Mohammad Y, Sampson, Uchechukwu K. A, Sanabria, Juan R, Santos, Itamar S, Schneider, Ione J, Schumacher, Austin E, Schwebel, David C, Scott, James G, Sepanlou, Sadaf G, Serina, Peter T, Servan Mori, Edson E, Shackelford, Katya A, Shrime, Mark G, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Singh, Jasvinder A, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stanaway, Jeffrey D, Stein, Dan J, Stein, Murray B, Steiner, Timothy J, Stovner, Lars J, Sunguya, Bruno F, Sykes, Bryan L, Tabb, Karen M, Taylor, Hugh R, Ao, Braden J. Te, Temesgen, Awoke M, Tenkorang, Eric Y, Terkawi, Abdullah S, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tran, Bach X, Tuzcu, Emin M, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uzun, Selen B, Van Brakel, Wim H, van Gool, Coen H, Vasankari, Tommi J, Violante, Francesco S, Vlassov, Vasiliy V, Wagner, Gregory R, Waller, Stephen G, Warouw, Tati S, Weintraub, Robert G, Whiteford, Harvey A, Wilkinson, James D, Williams, Thomas N, Wolfe, Charles D, Wolock, Timothy M, Woolf, Anthony D, Yan, Lijing L, Yentür, Gökalp K, Yoon, Seok Jun, Younis, Mustafa Z, Zaki, Maysaa E, Salomon, Joshua A, Lopez, Alan D, Computational Science and Engineering Department [Daresbury] ( STFC ), Science & Technologie Facilities Council, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Weill Cornell Medical College - Qatar, Qatar Foundation - Education City, Doha, Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Karolinska Institute, karolinska institute, Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Wisconsin Division of Public Health, Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Computer Science Department [Bristol], University of Bristol [Bristol], Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, University of Southampton [Southampton], Imperial College London, Neurology Department, Ichilov Medical Center, Department of Public Health and Primary Care, Cambridge University, Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Université de Tours, Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institute of Parasitology, STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), Tennent Institute of Ophthalmology, National University of Singapore ( NUS ), Multidisciplinary Nanotechnology Centre, Swansea University, Department of Computer Sciences [Scheffield], University of Sheffield [Sheffield], Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Glasgow Centre for Physical Organic Chemistry, University of Glasgow, King‘s College London, Université Panthéon-Sorbonne - UFR Science Politique ( UP1 UFR11 ), Université Panthéon-Sorbonne ( UP1 ), National Diagnostics Centre ( NDC ), National University of Ireland [Galway] ( NUI Galway ), Arthritis Research UK Epidemiology Unit ( MANCHESTER - Arthritis Research ), University of Manchester [Manchester], CEGOT - Porto, Universidade do Porto [Porto], Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Department of Biology [Miami], University of Miami [Coral Gables], Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] ( WUR ), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), University of Connecticut ( UCONN ), Norwegian Institute for Air Research ( NILU ), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Friedrich-Alexander Universität Erlangen-Nürnberg ( FAU ), Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Physics and Astronomy, Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Université Catholique de Louvain ( UCL ), Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Univ New Delhi, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Karolinska Institutet [Stockholm], Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center ( TRDDC ), TCS Innovation Labs, Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency ( FOI ), Centre de Recherche en Information Biomédicale sino-français ( CRIBS ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Southeast University [Jiangsu]-School of Computer Science and Engineering, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Business and Informatics, University of Boras, Department of Mechanical and Automation Engineering ( CAD Laboratory ), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), Department of plant pathology and microbiology - centre for sustainable pest and disease management, Rothamsted Research, RGU, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale ( IDSIA ), Università della Svizzera italiana ( USI ) -Scuola universitaria professionale della Svizzera italiana [Manno] ( SUPSI ), Anaesthetics, Southampton University Hospital, Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, PennState University [Pennsylvania] ( PSU ), University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Department of epidemiology and Public Health, Faculty of Medicine, Hong Kong Baptist University ( HKBU ), Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Department of Neurology Lunds University Hospital Lund, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux ( SAMOVAR ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ) -Centre National de la Recherche Scientifique ( CNRS ), Département Réseaux et Services Multimédia Mobiles ( RS2M ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], Institut Lumière Matière [Villeurbanne] ( ILM ), Université Claude Bernard Lyon 1 ( UCBL ), World Health Organization, Nordic School of Public Health, The James Hutton Institute, Sero, Sero consulting, Evolutionary Ecology of Infectious Disease Group, Department of Zoology, Horia Hulubei National Institute for Physics and Nuclear Engineering, Dunedin School of Medicine, University of Otago, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Dept.of Computer Science, Indian Institute of Technology Madras ( IIT Madras ), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Université Grenoble Alpes - UFR Médecine ( UGA UFRM ), Université Grenoble Alpes ( UGA ), Clinical Epidemiology and Aging Research, German Cancer Research Center, Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Symantec, European Microsoft Innovation Center ( EMIC ), Microsoft Corporation [Redmond, Wash.], Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), Novartis institute for tropical diseases, Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Departments of Anatomy and Cell Biology, Wayne State University School of Medicine, Departments of Ophthalmology, Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), Laboratory for Atmospheric and Space Physics [Boulder] ( LASP ), University of Colorado Boulder [Boulder], University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, Yale School of Medicine-Yale School of Medicine-Yale Stem Cell Center, Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute ( NEST ), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology ( LICB ), National Institutes of Health ( NIH ), Institute of Human Genetics, Bonn Universität [Bonn], Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] ( KTH ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, NICTA [Eveleigh], National ICT Australia [Sydney] ( NICTA ), Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), German Research Centre for Geosciences - Helmholtz-Centre Potsdam ( GFZ ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Neurorestoration Group, King‘s College London-Wolfson Centre for Age-related Diseases, Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Computational Science and Engineering Department [Daresbury] (STFC), Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Weill Cornell Medicine [Qatar], Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, University of Southampton, University of Cambridge [UK] (CAM), Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours (UT), Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Stanford University, Unité de recherche Virologie et Immunologie Moléculaires (VIM (UR 0892)), Institut National de la Recherche Agronomique (INRA), National University of Singapore (NUS), Université Paris 1 Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Paris 1 Panthéon-Sorbonne (UP1), National Diagnostics Centre (NDC), National University of Ireland [Galway] (NUI Galway), Arthritis Research UK Epidemiology Unit (MANCHESTER - Arthritis Research), Universidade do Porto = University of Porto, Advanced Laboratories on Embedded Systems [Roma] (ALES), Wageningen University and Research [Wageningen] (WUR), University of Oxford, Universitat Politècnica de Catalunya [Barcelona] (UPC), Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), University of Connecticut (UCONN), Norwegian Institute for Air Research (NILU), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Tehran, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), The George Washington University (GW), Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Université Catholique de Louvain = Catholic University of Louvain (UCL), Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), School of Physics and Astronomy [St Andrews], Tata Research Development and Design Center (TRDDC), MOLTECH-Anjou, Université d'Angers (UA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Swedish Defense Research Agency (FOI), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratory of Image Science and Technology [Nanjing] (LIST), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana = University of Applied Sciences and Arts of Southern Switzerland [Manno] (SUPSI), Pennsylvania State University (Penn State), Penn State System-Penn State System, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Hong Kong Baptist University (HKBU), Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), University of Melbourne, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), University of Otago [Dunedin, Nouvelle-Zélande], Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Technology Madras (IIT Madras), Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Université Grenoble Alpes - UFR Médecine (UGA UFRM), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), European Microsoft Innovation Center (EMIC), Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Novartis Institute for Tropical Diseases (NITD), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Center for Mathematical Modeling (CMM), Universidad de Chile = University of Chile [Santiago] (UCHILE), Laboratory for Atmospheric and Space Physics [Boulder] (LASP), University of Colorado [Boulder], University of Occupational and Environmental Health [Kitakyushu] (UEOH), Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Yale University [New Haven]-Yale School of Medicine [New Haven, Connecticut] (YSM), Nanoscience Institute (NEST), University of Pisa - Università di Pisa, Laboratory Of Immune Cell Biology (LICB), National Institutes of Health [Bethesda] (NIH), Rheinische Friedrich-Wilhelms-Universität Bonn, Royal Institute of Technology [Stockholm] (KTH ), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), National ICT Australia [Sydney] (NICTA), Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Paris 1 Panthéon-Sorbonne (UP1)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Kardiyoloji, Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Minnesota [Twin Cities], Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Unité de recherche Virologie et Immunologie Moléculaires (VIM), Université Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Panthéon-Sorbonne (UP1), Wageningen University and Research Centre [Wageningen] (WUR), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), George Washington University (GW), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Université Catholique de Louvain (UCL), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), University of Helsinki, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Università della Svizzera italiana (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), California Institute of Technology (CALTECH)-NASA, Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Centre National de la Recherche Scientifique (CNRS), Département Réseaux et Services Multimédia Mobiles (RS2M), Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Université Grenoble Alpes (UGA), Universidad de Santiago de Chile [Santiago] (USACH), Yale University [New Haven]-Yale University School of Medicine, Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Université de Nantes - Faculté des Sciences et des Techniques, Grelier, Elisabeth, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Universidade do Porto, Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Université Toulouse 1 Capitole (UT1), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Università degli studi di Bari Aldo Moro (UNIBA), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Universiteit Gent = Ghent University [Belgium] (UGENT), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-CHU Limoges-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Belfort-Montbeliard (UTBM), Institut de Chimie du CNRS (INC)-Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Wolfson Centre for Age-related Diseases-King‘s College London, Cell biology, Public Health, Epidemiology, Health Technology Assessment (HTA), Erasmus MC other, Pathology, and Cardiothoracic Surgery

Subjects
Gerontology, Male, CHANGING RELATION, Nutrition and Disease, MESH : Life Expectancy, MESH : Aged, ECONOMIC-DEVELOPMENT, Poison control, MESH: Global Health, Global Health, Socioeconomic Factor, Communicable Disease, MESH : Chronic Disease, Health Transition, Voeding en Ziekte, Quality-Adjusted Life Year, SELF-RATED HEALTH, MESH : Socioeconomic Factors, Medicine, MESH : Female, MESH: Mortality, Premature, 2. Zero hunger, MESH: Aged, education.field_of_study, MESH: Middle Aged, Mortality rate, Medicine (all), GBD2013 diseases, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, General Medicine, Middle Aged, 3. Good health, MESH : Wounds and Injuries, Epidemiological transition, MESH: Quality-Adjusted Life Years, MESH: Communicable Diseases, NONCOMMUNICABLE DISEASES, Female, Quality-Adjusted Life Years, MESH: Life Expectancy, MESH: Health Transition, Human, MESH: Socioeconomic Factors, ACUTE MYOCARDIAL-INFARCTION, MESH : Male, MORTALITY TRENDS, Population, MESH : Health Transition, Communicable Diseases, Article, Life Expectancy, EUROPEAN-UNION, SDG 3 - Good Health and Well-being, General & Internal Medicine, SYSTEMATIC ANALYSIS, Disability-adjusted life year, Humans, Life Science, MESH : Middle Aged, Mortality, education, Premature, MESH : Mortality, Premature, VLAG, Aged, MESH: Humans, business.industry, Mortality, Premature, MESH: Chronic Disease, MESH : Communicable Diseases, Wounds and Injurie, MESH : Humans, MESH : Quality-Adjusted Life Years, Non-communicable disease, Chronic Disease, Socioeconomic Factors, Wounds and Injuries, medicine.disease, MESH: Male, LOW SOCIOECONOMIC-STATUS, Years of potential life lost, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Wounds and Injuries, Life expectancy, RISK-FACTORS, MESH : Global Health, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH: Female, Demography
Abstract

Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Funding Bill & Melinda Gates Foundation. BACKGROUND: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. METHODS: We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. FINDINGS: Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. INTERPRETATION: Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition-in which increasing sociodemographic status brings structured change in disease burden-is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. FUNDING: Bill & Melinda Gates Foundation.

Published
2015

132. Distinct clinicopathologic clusters of persons with TDP-43 proteinopathy.

Author

Katsumata, Yuriko, Abner, Erin L., Karanth, Shama, Teylan, Merilee A., Mock, Charles N., Cykowski, Matthew D., Lee, Edward B., Boehme, Kevin L., Mukherjee, Shubhabrata, Kauwe, John S. K., Kryscio, Richard J., Schmitt, Frederick A., Fardo, David W., and Nelson, Peter T.

Subjects
*FRONTOTEMPORAL lobar degeneration, *TDP-43 proteinopathies, *ALZHEIMER'S disease, *AMYLOID plaque, *FRONTOTEMPORAL dementia, *CREUTZFELDT-Jakob disease, *AUTOPSY
Abstract

To better understand clinical and neuropathological features of TDP-43 proteinopathies, data were analyzed from autopsied research volunteers who were followed in the National Alzheimer's Coordinating Center (NACC) data set. All subjects (n = 495) had autopsy-proven TDP-43 proteinopathy as an inclusion criterion. Subjects underwent comprehensive longitudinal clinical evaluations yearly for 6.9 years before death on average. We tested whether an unsupervised clustering algorithm could detect coherent groups of TDP-43 immunopositive cases based on age at death and extensive neuropathologic data. Although many of the brains had mixed pathologies, four discernible clusters were identified. Key differentiating features were age at death and the severity of comorbid Alzheimer's disease neuropathologic changes (ADNC), particularly neuritic amyloid plaque densities. Cluster 1 contained mostly cases with a pathologic diagnosis of frontotemporal lobar degeneration (FTLD-TDP), consistent with enrichment of frontotemporal dementia clinical phenotypes including appetite/eating problems, disinhibition and primary progressive aphasia (PPA). Cluster 2 consisted of elderly limbic-predominant age-related TDP-43 encephalopathy (LATE-NC) subjects without severe neuritic amyloid plaques. Subjects in Cluster 2 had a relatively slow cognitive decline. Subjects in both Clusters 3 and 4 had severe ADNC + LATE-NC; however, Cluster 4 was distinguished by earlier disease onset, swifter disease course, more Lewy body pathology, less neocortical TDP-43 proteinopathy, and a suggestive trend in a subgroup analysis (n = 114) for increased C9orf72 risk SNP rs3849942 T allele (Fisher's exact test p value = 0.095). Overall, clusters enriched with neocortical TDP-43 proteinopathy (Clusters 1 and 2) tended to have lower levels of neuritic amyloid plaques, and those dying older (Clusters 2 and 3) had far less PPA or disinhibition, but more apathy. Indeed, 98% of subjects dying past age 85 years lacked clinical features of the frontotemporal dementia syndrome. Our study revealed discernible subtypes of LATE-NC and underscored the importance of age of death for differentiating FTLD-TDP and LATE-NC. [ABSTRACT FROM AUTHOR]

Published
2020
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133. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015

Author

Barber R. M. a, Fullman N. a, Sorensen R. J. D. a, Bollyky T. f, McKee M. i, Nolte E. g, Abajobir A. A. j, Abate K. H. n, Abbafati C. o, Abbas K. M. p, Abd-Allah F. q, Abdulle A. M. r, Abdurahman, A. A. ac, Abera, S. F. ad, ah Abraham, B. ai, Abreha, G. F. ad, Adane, K. af, Adelekan, A. L. aj, ak Adetifa, I. M. O. i al, Afshin A. a, Agarwal, A. ao, ap Agarwal, S. K. aq, S. ar, Agrawal, A. as, Ahmad Kiadaliri, A. au, Ahmadi, A. ax, Ahmed, K. Y. ay, Ahmed M. B. m, Akinyemi, R. O. ak, az Akinyemiju, T. F. ba, Akseer, N. am, bc Al-Aly, Z. bd, Alam, K. be, bf dn, dq Alam, N. bg, S. S. bh, Alemu, Z. A. ay, Alene, K. A. bi, Alexander L. a, Ali, R. bm, S. D. bn, bo bp, Alizadeh-Navaei, R. bq, Alkerwi, A. bs, Alla, F. bt, Allebeck, P. bu, Allen C. a, Al-Raddadi, R. cb, Alsharif, U. cd, Altirkawi, K. A. ce, Alvarez Martin, E. cf, Alvis-Guzman, N. cg, Amare, A. T. ch, cj gr, Amini E. s, t wy, Ammar, W. cl, Amo-Adjei, J. cm, cn Amoako, Y. A. co, Anderson B. O. e, Androudi, S. cq, Ansari, H. cr, Ansha, M. G. cs, Antonio, C. A. T. ct, Ärnlöv, J. bv, cv Artaman, A. cw, Asayesh, H. cx, Assadi, R. cy, Astatkie, A. cz, Atey, T. M. ag, Atique, S. da, Atnafu, N. T. dc, dd Atre, S. R. de, Avila-Burgos, L. df, Avokpaho, E. F. G. A. dg, Ayala Quintanilla, B. P. di, dj Awasthi, A. dk, Ayele, N. N. dl, Azzopardi, P. dm, dn dr, Ba Saleem, H. O. dt, Bärnighausen, T. du, dz ea, Bacha, U. eb, Badawi, A. an, ec Banerjee, A. ed, Barac, A. eg, Barboza, M. A. ej, ek Barker-Collo, S. L. el, Barrero, L. H. en, Basu, S. eo, Baune, B. T. ch, gr Baye, K. eq, Bayou, Y. T. er, Bazargan-Hejazi, S. es, et Bedi, N. eu, Beghi, E. ev, Béjot, Y. ew, Bello, A. K. ex, Bennett, D. A. bm, Bensenor, I. M. ez, Berhane, A. fa, Bernabé, E. fd, Bernal, O. A. fe, Beyene, A. S. ff, ki Beyene, T. J. eq, fi Bhutta, Z. A. bc, fj Biadgilign, S. fk, Bikbov, B. fl, Birlik, S. M. fm, Birungi, C. ef, Biryukov S. a, Bisanzio, D. bk, Bizuayehu, H. M. fn, Bose, D. fo, Brainin, M. fp, Brauer M. a, fq Brazinova, A. fr, fs Breitborde, N. J. K. fu, Brenner, H. fw, Butt, Z. A. fx, Cárdenas, R. fy, Cahuana-Hurtado, Campos-Nonato, I. R. df, dx Car, J. fz, Carrero, J. J. bw, Casey D. a, Caso, V. ga, Castañeda-Orjuela, C. A. gb, Castillo Rivas, J. gd, ge Catalá-López, F. gf, gg Cecilio, P. gh, Cercy K. a, Charlson F. J. a, j gi, Chen A. Z. a, Chew A. a, Chibalabala, M. gj, Chibueze, C. E. gk, Chisumpa, V. H. gl, gm Chitheer, A. A. gn, Chowdhury, R. go, Christensen, H. gp, Christopher, D. J. gq, Ciobanu, L. G. ci, Cirillo, M. gs, Coggeshall M. S. a, Cooper, L. T. gt, Cortinovis, M. fl, Crump, J. A. gu, Dalal, K. gv, Danawi, H. gw, Dandona L. a, gy Dandona, R. a gy, Dargan, P. I. gz, Das Neves, J. ha, hb Davey, G. hd, Davitoiu, D. V. he, Davletov, K. hf, De Leo, D. hh, Del Gobbo, L. C. eo, Del Pozo-Cruz, B. em, Dellavalle, R. P. hi, Deribe, K. ep, hj Deribew, A. al, Des Jarlais, D. C. hk, hl Dey, S. hm, Dharmaratne, S. D. hn, Dicker D. a, Ding, E. L. dx, Dokova, K. ho, Dorsey, E. R. hp, Doyle, K. E. hq, hr Dubey, M. hs, Ehrenkranz R. a, Ellingsen, C. L. hu, Elyazar, I. hv, Enayati, A. hw, Ermakov, S. P. hx, hy Eshrati, B. hz, ia Esteghamati, A. t wz, Estep K. a, Fürst T. h, ic ie, Faghmous I. D. A. i, Fanuel, F. B. B. cz, if Faraon, E. J. A. cu, ig Farid, T. A. ih, Farinha, C. S. E. S. ii, ij Faro, A. ik, Farvid, M. S. dw, il Farzadfar, F. u xa, Feigin, V. L. im, Feigl, A. B. du, Fereshtehnejad, S. -M. bx, Fernandes, J. G. in, J. C. io, Feyissa, T. R. ip, Fischer, F. iq, Fitzmaurice C. a, b ir, Fleming T. D. a, Foigt, N. is, Foreman K. J. a, ib Forouzanfar, M. H. it, Franklin, R. C. iu, Frostad J. a, Ghiwot T. T. n, Gakidou E. a, Gambashidze, K. iv, Gamkrelidze, A. iv, Gao, W. ix, Garcia-Basteiro, A. L. iy, iz Gebre, T. ja, Gebremedhin A. T. n, jb Gebremichael, M. W. ag, Gebru, A. A. ag, jc Gelaye, A. A. jd, Geleijnse, J. M. fh, Genova-Maleras, R. je, jf Gibney, K. B. jg, Giref, A. Z. eq, Gishu, M. D. fg, jh Giussani, G. ev, Godwin W. W. a, Gold A. a, Goldberg E. M. a, Gona, P. N. ji, Goodridge, A. jj, Gopalani, S. V. jk, Goto, A. jl, Graetz N. a, Greaves, F. ib, jm Griswold, M. a Guban, P. I. jn, Gugnani, H. C. jo, Gupta, P. C. jp, R. jq, R. jr, T. js, V. jt, Habtewold, T. D. fb, jv Hafezi-Nejad, N. t xb, Haile, D. eq, Hailu, A. D. ep, jx Hailu, G. B. ag, jc Hakuzimana, A. jz, ka Hamadeh, R. R. kb, Hambisa, M. T. ff, Hamidi, S. kc, Hammami, M. kd, Hankey, G. J. ke, kf kg, Hao, Y. kh, Harb, H. L. cl, Hareri, H. A. eq, Haro, J. M. mw, Hassanvand M. S. w, xc Havmoeller, R. ca, Hay, R. J. fd, kk Hay, S. I. a bl, Hendrie, D. kl, Heredia-Pi, I. B. df, Hoek, H. W. ju, km Horino, M. ko, Horita, N. kp, Hosgood, H. D. kq, Htet, A. S. kr, ks Hu, G. kt, Huang, H. ku, J. J. kv, Huntley B. M. a, Huynh C. a, Iburg, K. M. kw, Ileanu, B. V. kx, Innos, K. ky, Irenso, A. A. fg, kj Jahanmehr, N. kz, Jakovljevic, M. B. lb, James, P. dv, S. L. lc, Javanbakht, M. ld, Jayaraman, S. P. le, Jayatilleke, A. U. lf, lg Jeemon, P. gx, lh li, nh Jha, V. bm, lk John, D. ll, Johnson C. a, Johnson S. C. a, Jonas, J. B. lm, Juel, K. ln, Kabir, Z. lo, Kalkonde, Y. lp, Kamal, R. lq, Kan, H. ls, Karch, A. lt, lu Karema, C. K. id, lv Karimi, S. M. lw, Kasaeian A. t, y xd, Kassebaum N. J. a, lx Kastor, A. hs, Katikireddi, S. V. ly, Kazanjan, Keiyoro, P. N. lz, ma Kemmer, L. a Kemp, A. H. mc, me Kengne, A. P. jz, mf Kerbo, A. A. if, Kereselidze, M. iv, Kesavachandran, C. N. lq, Khader, Y. S. mg, Khalil I. a, Khan, A. R. ih, E. A. mh, G. mi, Khang, Y. -H. mj, Khoja, A. T. A. ml, Khonelidze, I. iv, Khubchandani, J. mm, Kibret, G. D. ay, Kim, D. mn, Kim P. a, Y. J. mo, Kimokoti, R. W. mp, Kinfu, Y. mq, Kissoon, N. fq, Kivipelto, M. by, Kokubo, Y. mr, Kolk, A. ms, Kolte, D. mt, Kopec, J. A. fq, Kosen, S. mu, Koul, P. A. mv, Koyanagi, A. mw, Kravchenko, M. mx, Krishnaswami, S. my, Krohn K. J. a, Kuate Defo, B. mz, Kucuk Bicer, B. nb, Kuipers, E. J. nd, Kulkarni, V. S. ne, Kumar, G. A. lj, Kumsa, F. A. fg, kj Kutz, M. a Kyu, H. H. a Lager, A. C. J. nf, Lal, A. ng, D. K. ni, Lalloo R. k, Lallukka, T. nj, Lan, Q. nl, Langan S. M. i, Lansingh, V. C. nm, nn Larson, H. J. a h, Larsson, A. no, Laryea, D. O. cp, Latif, A. A. np, Lawrynowicz, A. E. B. nq, Leasher, J. L. nr, Leigh, J. bf, Leinsalu, M. ky, nt Leshargie, C. T. ay, Leung J. e, j Leung, R. nu, Levi, M. nv, Liang, X. nw, Lim S. S. a, Lind M. a, Linn, S. nx, Lipshultz, S. E. ny, nz Liu, P. a Liu, Y. oa, L. -T. ob, oc Logroscino, G. od, Lopez, A. D. do, Lorch, S. A. oe, Lotufo, P. A. ez, Lozano, R. df, Lunevicius, R. of, og Lyons, R. A. mb, Macarayan, E. R. K. kv, Mackay, M. T. oh, Magdy Abd El Razek, H. oi, M. oj, Mahdavi, M. ok, ol Majeed, A. ib, Malekzadeh R. z, xe Malta, D. C. on, Mantovani LG, Manyazewal, T. op, Mapoma, C. C. gl, Marcenes, W. oq, Marks, G. B. md, ns Marquez, N. a Martinez-Raga, J. or, os Marzan, M. B. ot, Massano, J. hc, ou Mathur, M. R. ni, Maulik, P. K. ov, Mazidi, M. ow, McAlinden, C. ox, oy McGrath, J. J. l McNellan, C. a Meaney, P. A. oz, pa Mehari, A. pb, Mehndiratta, M. M. pc, Meier, T. pd, Mekonnen, A. B. bf, bj Meles, K. G. ad, Memish, Z. A. pe, pf Mengesha, M. M. ff, Mengiste, D. T. ae, Mengistie M. A. n, Menota, B. G. eq, Mensah, G. A. pg, Mereta S. T. n, Meretoja, A. dp, ph Meretoja, T. J. nk, pi Mezgebe, H. B. ag, Micha, R. pj, Millear A. a, Mills, E. J. pl, Minnig S. a, Mirarefin M. a, pm Mirrakhimov, E. M. pn, po Mock, C. N. c Mohammad, K. A. pp, Mohammed, S. ea, pq Mohanty, S. K. hs, Mokdad A. H. a, Mola, G. L. D. pr, Molokhia, M. fd, Monasta, L. ps, Montico, M. ps, Moradi-Lakeh M. a, pt Moraga, P. pz, Morawska, L. pv, pw Mori, R. qa, Moses M. a, Mueller, U. O. qc, Murthy, S. fq, Musa, K. I. qd, Nachega, J. B. qe, qf qg, Nagata, C. qh, Nagel, G. qj, Naghavi M. a, Naheed, A. bh, Naldi, L. qk, Nangia, V. ql, Nascimento, B. R. qm, qn Negoi, I. qo, Neupane, S. P. ks, Newton, C. R. qp, Ng M. a, Ngalesoni, F. N. qq, Ngunjiri, J. W. qr, Nguyen G. a, Ningrum, D. N. A. db, qs Nolte, S. cc, qt rj, Nomura, M. qv, Norheim, O. F. jx, Norrving, B. av, Noubiap, J. J. N. jz, qw Obermeyer, C. M. qx, Ogbo, F. A. qy, I. -H. ra, Okoro, A. rb, Oladimeji, O. rc, rd Olagunju, A. T. ci, Olivares, P. R. re, Olsen H. E. a, Olusanya, B. O. rf, J. O. rf, Opio, J. N. rg, Oren, E. rh, Ortiz, A. ri, Osborne, R. H. rk, Osman, M. dy, rl Owolabi, M. O. rm, rn Mahesh, P. A. ro, Pain A. W. a, Pakhale, S. rp, Palomares Castillo, E. rq, rr Pana, A. kx, Papachristou, C. cd, Parsaeian M. u, v xa, Patel, T. rs, Patton, G. C. dn, Paudel, D. rt, Paul, V. K. aq, Pearce N. i, Pereira, D. M. ru, Perez-Padilla, R. rv, Perez-Ruiz, F. rw, rx Perico, N. Pesudovs, K. ry, Petzold, M. rz, sa Phillips, M. R. oa, sb Pigott, D. M. a Pillay, J. D. sc, Pinho C. a, Polinder, S. nc, Pond, C. D. sd, Prakash, V. se, Purwar, M. sf, Qorbani, M. sg, Quistberg D. A. c, d Radfar, A. sh, Rafay, A. si, sj Rahimi, K. bm, Rahimi-Movaghar, V. aa, xf Rahman, M. sk, Rahman, M. H. U. hs, Rai, R. K. sl, Ram, U. hs, Rana, S. M. si, sj Rankin, Z. a Rao, P. V. sm, sn Rao, P. C. a Rawaf, S. ib, Rego, M. A. S. om, Reitsma M. a, Remuzzi, G. fl, so sp, Renzaho, A. M. N. N. qz, Resnikoff, S. sq, sr Rezaei, S. aw, Rezai, M. S. br, Ribeiro, A. L. qm, Roba, H. S. ff, Rokni, M. B. ac, Ronfani, Roshandel G. z, st xe, Roth G. A. a, Rothenbacher, D. qi, Roy, N. K. su, sv Sachdev, P. S. ss, sw Sackey, B. B. sx, Saeedi, M. Y. sy, Safiri, S. sz, Sagar, R. aq, Sahraian, M. A. ab, xg Saleh, M. M. ta, Salomon, J. A. du, Samy, A. M. tb, Sanabria, J. R. tc, td Sanchez-Niño, M. D. te, Sandar L. a, Santos, I. S. ey, J. V. hc, Santric Milicevic, M. M. eh, ei Sarmiento-Suarez, R. tf, Sartorius, B. tg, ti Satpathy, M. aq, Savic, M. hu, Sawhney, M. tj, Saylan, M. I. tk, Schöttker, B. fv, tl Schutte, A. E. tm, tn Schwebel, D. C. bb, Seedat, S. qf, Seid, A. M. ff, Seifu, C. N. if, Sepanlou S. G. z, xe Serdar, B. to, Servan-Mori, E. E. df, Setegn, T. ck, Shackelford K. A. a, Shaheen, A. tp, Shahraz, S. tq, Shaikh, M. A. tr, Shakh-Nazarova, Shamsipour M. x, Shariful Islam, S. M. bh, Sharma, J. ts, R. tt, She, J. lr, Sheikhbahaei S. t, wz Shen, J. ft, tu Shi, P. pk, Shigematsu, M. tv, tw Shin, M. -J. tx, Shiri, R. nj, Shoman, H. tz, Shrime, M. G. dy, Sibamo, E. L. S. if, Sigfusdottir, I. D. ua, Silva, D. A. S. ub, Silveira, D. G. A. uc, Sindi, S. ca, Singh, J. A. ud, O. P. ue, P. K. uf, V. ug, Sinke, A. H. uh, Sinshaw, A. E. ui, Skirbekk, V. hu, kn Sliwa, K. jy, Smith A. a, Sobngwi, E. uj, uk Soneji, S. ul, Soriano, J. B. um, Sousa, T. C. M. un, Sposato, L. A. uo, Sreeramareddy, C. T. up, Stathopoulou, V. uq, Steel, N. jm, ur Steiner, C. a Steinke, S. us, Stokes, M. A. qu, Stranges, S. bs, Strong, M. ut, Stroumpoulis, K. uu, uv Sturua, L. iv, Sufiyan, M. B. uw, Suliankatchi, R. A. ux, Sun, J. px, py uy, Sur P. a, Swaminathan, S. uz, Sykes, B. L. va, Tabarés-Seisdedos, R. gf, Tabb, K. M. vb, Taffere, G. R. ad, Talongwa, R. T. vc, Tarajia, M. vd, Tavakkoli, M. ve, Taveira, N. vf, vg Teeple, S. a Tegegne, T. K. ay, Tehrani-Banihashemi, A. pu, Tekelab, T. ip, vh Tekle, D. Y. ag, Temam Shifa, G. eq, vi Terkawi, A. S. vj, vk vl, Tesema, A. G. ag, Thakur, J. S. vm, Thomson, A. J. vn, Tillmann, T. ee, Tiruye, T. Y. ay, Tobe-Gai, R. vo, Tonelli, M. vp, Topor-Madry, R. vq, vr Tortajada, M. vs, Troeger C. a, Truelsen, T. vt, Tura, A. K. fg, jv Uchendu, U. S. vu, Ukwaja, K. N. vv, Undurraga, E. A. vw, Uneke, C. J. vx, Uthman, O. A. vy, Van Boven, J. F. M. jv, Van Dingenen, R. vz, Varughese, S. gq, Vasankari, T. wa, Venketasubramanian, N. wb, Violante, F. S. wc, Vladimirov, S. K. wd, Vlassov, V. V. we, Vollset S. E. a, ht jw, Vos T. a, Wagner J. A. a, Wakayo T. n, Waller, S. G. wf, Walson J. L. e, wg Wang, H. a Wang, Y. -P. wh, Watkins D. A. e, jz Weiderpass, E. bz, wi wj, wk Weintraub, R. G. dn, oh Wen, C. -P. iw, Werdecker, A. qb, Wesana, J. wl, wm Westerman, R. qc, wn Whiteford, H. A. a j, gi Wilkinson, J. D. ny, nz Wiysonge, C. S. qf, wo Woldeyes, Wolfe, C. D. A. fc, wp Won, S. mk, Workicho A. n, wq Workie, S. B. if, Wubshet, M. wr, ws Xavier, D. wt, G. wu, Yadav, A. K. hs, Yaghoubi, M. wv, Yakob, B. th, Yan, L. L. ww, Yano, Y. wx, Yaseri, M. la, xi Yimam, H. H. dc, Yip, P. xj, xk Yonemoto, N. xl, Yoon, S. -J. ty, Younis, M. Z. xm, C. xn, xo Zaidi, Z. xp, El Sayed Zaki, M. xq, Zambrana-Torrelio, C. xr, xs Zapata, T. xt, Zenebe, Z. M. ag, Zodpey, Zoeckler L. a, Zuhlke, L. J. xu, Murray C. J. L., Barber, Ryan, Fullman, Nancy, Sorensen, Reed, Thomas, Bollyky, Martin, Mckee, Ellen, Nolte, Amanuel, Alemu, Abajobir, Kalkidan, Hassen, Abate, Cristiana, Abbafati, Kaja, Abba, Foad, Abd Allah, Abdishakur, Abdulle, Ahmed, Abdulahi, Abdurahman, Semaw, Ferede, Abera, Biju, Abraham, Girmatsion, Fisseha, Abreha, Kelemework, Adane, Ademola, Lukman, Adelekan, Ifedayo, Morayo, Adetifa, Ashkan, Afshin, Arnav, Agarwal, Sanjay, Kumar, Agarwal, Sunilkumar, Agarwal, Anurag, Agrawal, Aliasghar, Ahmad, Kiadaliri, Alireza, Ahmadi, Kedir, Yimam, Ahmed, Muktar, Beshir, Ahmed, Rufus, Olusola, Akinyemi, Tomi, F, Akinyemiju, Nadia, Akseer, Ziyad, Al Aly, Khurshid, Alam, Noore, Alam, Sayed, Saidul, Alam, Zewdie, Aderaw, Alemu, Kefyalew, Addi, Alene, Lily, Alexander, Raghib, Ali, Syed, Danish, Ali, Reza, Alizadeh Navaei, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Rajaa, Al Raddadi, Ubai, Alsharif, Khalid, Altirkawi, Elena, Alvarez, Martin, Nelson, Alvis Guzman, Azmeraw, Amare, Erfan, Amini, Walid, Ammar, Joshu, Amo Adjei, Yaw, Ampem, Amoako, Benjamin, Anderson, Sofia, Androudi, Hossein, Ansari, Mustafa, Geleto, Ansha, Carl, Abelardo, Antonio, Johan, Ärnlöv, Al, Artaman, Hamid, Asayesh, Reza, Assadi, Ayalew, Astatkie, Tesfay, Mehari, Atey, Suleman, Atique, Niguse, Tadele, Atnafu, Sachin, Atre, Leticia, Avila Burgo, Euripide, Frinel, Arthur, Avokpaho, Beatriz, Paulina, Ayala, Quintanilla, Ashish, Awasthi, Nebiyu, Negussu, Ayele, Peter, Azzopardi, Huda, Omer, Ba, Saleem, Till, Bärnighausen, Umar, Bacha, Alaa, Badawi, Amitava, Banerjee, Aleksandra, Barac, Miguel, Barboza, Suzanne, Barker Collo, Lope, Barrero, Sanjay, Basu, Bernhard, Baune, Kaleab, Baye, Yibeltal, Tebekaw, Bayou, Shahrzad, Bazargan Hejazi, Neeraj, Bedi, Ettore, Beghi, Yannick, Béjot, Aminu, Bello, Derrick, Bennett, Isabela, Bensenor, Adugnaw, Berhane, Eduardo, Bernabé, Oscar, Alberto, Bernal, Addisu, Shunu, Beyene, Tariku, Jibat, Beyene, Zulfiqar, Bhutta, Sibhatu, Biadgilign, Boris, Bikbov, Sait, Mente, Birlik, Charles, Birungi, Stan, Biryukov, Donal, Bisanzio, Habtamu, Mellie, Bizuayehu, Dipan, Bose, Michael, Brainin, Michael, Brauer, Alexandra, Brazinova, Nicholas, Breitborde, Hermann, Brenner, Zahid, Butt, Rosario, Cárdena, Lucero, Cahuana Hurtado, Ismael, Ricardo, Campos, Nonato, Josip, Car, Juan, Jesu, Carrero, Daniel, Casey, Valeria, Caso, Carlos, Castañeda Orjuela, Jacqueline, Castillo, Rivas, Ferrán, Catalá López, Pedro, Cecilio, Kelly, Cercy, Fiona, Charlson, Alan, Chen, Adrienne, Chew, Mirriam, Chibalabala, Chioma, Ezinne, Chibueze, Vesper, Hichilombwe, Chisumpa, Abdulaal, Chitheer, Rajiv, Chowdhury, Hanne, Christensen, Devasahayam, Jesuda, Christopher, Liliana, Ciobanu, Cirillo, Massimo, Megan, Coggeshall, Leslie, Trumbull, Cooper, Monica, Cortinovi, John, Crump, Koustuv, Dalal, Hadi, Danawi, Lalit, Dandona, Rakhi, Dandona, Paul, Dargan, Jose, Da, Neves, Gail, Davey, Dragos, V, Davitoiu, Kairat, Davletov, Diego, De, Leo, Liana, Del, Gobbo, Borja, Del, Pozo, Cruz, Robert, Dellavalle, Kebede, Deribe, Amare, Deribew, Don, De, Jarlais, Subhojit, Dey, Samath, Dharmaratne, Daniel, Dicker, Eric, Ding, Klara, Dokova, Ray, Dorsey, Kerrie, Doyle, Manisha, Dubey, Rebecca, Ehrenkranz, Christian, Lycke, Ellingsen, Iqbal, Elyazar, Ahmadali, Enayati, Sergey, Petrovich, Ermakov, Babak, Eshrati, Alireza, Esteghamati, Kara, Estep, Thomas, Fürst, Imad, Faghmou, Fanuel, Belayneh, Bekele, Fanuel, Emerito, Jose, Aquino, Faraon, Talha, Farid, Carla, Sofia, Sa, Farinha, Andre, Faro, Maryam, Farvid, Farshad, Farzadfar, Valery, Feigin, Andrea, Feigl, Seyed Mohammad, Fereshtehnejad, Jefferson, Fernande, João, Fernande, Tesfaye, Regassa, Feyissa, Florian, Fischer, Christina, Fitzmaurice, Thomas, Fleming, Nataliya, Foigt, Kyle, Foreman, Mohammad, Forouzanfar, Richard, Franklin, Joseph, Frostad, Tsegaye, Tewelde, G/hiwot, Emmanuela, Gakidou, Ketevan, Gambashidze, Amiran, Gamkrelidze, Wayne, Gao, Alberto, Garcia Basteiro, Teshome, Gebre, Amanuel, Tesfay, Gebremedhin, 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Albertina Santiago, Reitsma, Marissa, Remuzzi, Giuseppe, Renzaho, Andre M N N, Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L, Roba, Hirbo Shore, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rothenbacher, Dietrich, Roy, Nawal K, Sachdev, Perminder S, Sackey, Ben Benasco, Saeedi, Mohammad Yahya, Safiri, Saeid, Sagar, Rajesh, Sahraian, Mohammad Ali, Saleh, Muhammad Muhammad, Salomon, Joshua A, Samy, Abdallah M, Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolore, Sandar, Logan, Santos, Itamar S, Santos, João Vasco, Milicevic, Milena M Santric, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Saylan, Mete I, Schöttker, Ben, Schutte, Aletta E, Schwebel, David C, Seedat, Soraya, Seid, Abdulbasit Musa, Seifu, Canaan Negash, Sepanlou, Sadaf G, Serdar, Berrin, Servan-Mori, Edson E, Setegn, Tesfaye, Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Shamsipour, Mansour, Islam, Sheikh Mohammed Shariful, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Shi, Peilin, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shoman, Haitham, Shrime, Mark G, Sibamo, Ephrem Lejore Sibamo, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silveira, Dayane Gabriele Alve, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A, Singh, Om Prakash, Singh, Prashant Kumar, Singh, Virendra, Sinke, Abiy Hiruye, Sinshaw, Aklilu Endalamaw, Skirbekk, Vegard, Sliwa, Karen, Smith, Alison, Sobngwi, Eugene, Soneji, Samir, Soriano, Joan B, Sousa, Tatiane Cristina Morae, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki, Steel, Nichola, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Stranges, Saverio, Strong, Mark, Stroumpoulis, Konstantino, Sturua, Lela, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sun, Jiandong, Sur, Patrick, Swaminathan, Soumya, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Taffere, Getachew Redae, Talongwa, Roberto Tchio, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Teeple, Stephanie, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Shifa, Girma Temam, Terkawi, Abdullah Sulieman, Tesema, Azeb Gebresilassie, Thakur, J.S., Thomson, Alan J, Tillmann, Taavi, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Tortajada, Miguel, Troeger, Christopher, Truelsen, Thoma, Tura, Abera Kenay, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uneke, Chigozie Jesse, Uthman, Olalekan A, van Boven, Job F M, Van Dingenen, Rita, Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wagner, Joseph A, Wakayo, Tolassa, Waller, Stephen G, Walson, Judd L, Wang, Haidong, Wang, Yuan-Pang, Watkins, David A, Weiderpass, Elisabete, Weintraub, Robert G, Wen, Chi-Pang, Werdecker, Andrea, Wesana, Joshua, Westerman, Ronny, Whiteford, Harvey A, Wilkinson, James D, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Won, Sungho, Workicho, Abdulhalik, Workie, Shimelash Bitew, Wubshet, Mamo, Xavier, Deni, Xu, Gelin, Yadav, Ajit Kumar, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zambrana-Torrelio, Carlo, Zapata, Toma, Zenebe, Zerihun Menlkalew, Zodpey, Sanjay, Zoeckler, Leo, Zuhlke, Liesl Joanna, and Murray, Christopher J L

Subjects
Dánartíðni, Lífslíkur, Life expectancy, Diseases, Health insurance, Globan Burden of Disease, Healthcare Access, DEVELOPMENT GOALS, Methods, Psychology, LIFE EXPECTANCY, Risk assessment, Public health, Globan Burden of Disease, Injuries, Tölfræði, Sjúkdómar, Statistics, DEATH, Þjóðir, Staðtölur, 11 Medical And Health Sciences, Healthcare access, Health status indicators, Health policy, Global burden of disease, Gæðastjórnun, Sálfræði, COMPARATIVE RISK-ASSESSMENT, Lýðheilsa, Life Sciences & Biomedicine, Standards, UNITED-STATES, Sjúkratryggingar, Medicine, General & Internal, General & Internal Medicine, Heilbrigðisstefna, SYSTEMATIC ANALYSIS, Mortality, Public health systems, medicine (all), Áhættugreining, Science & Technology, Health services accessibility, Staðlar, TRENDS, Heilbrigðisþjónusta, MEDICAL-CARE, AVOIDABLE MORTALITY, Áverkar, Aðferðafræði, Quality of health care, EUROPEAN COUNTRIES, Heilbrigðiskerfi
Abstract

Background National levels of personal health-care access and quality can be approximated by measuring mortality rates from causes that should not be fatal in the presence of effective medical care (ie, amenable mortality). Previous analyses of mortality amenable to health care only focused on high-income countries and faced several methodological challenges. In the present analysis, we use the highly standardised cause of death and risk factor estimates generated through the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015. Methods We mapped the most widely used list of causes amenable to personal health care developed by Nolte and McKee to 32 GBD causes. We accounted for variations in cause of death certification and misclassifications through the extensive data standardisation processes and redistribution algorithms developed for GBD. To isolate the effects of personal health-care access and quality, we risk-standardised cause-specific mortality rates for each geography-year by removing the joint effects of local environmental and behavioural risks, and adding back the global levels of risk exposure as estimated for GBD 2015. We employed principal component analysis to create a single, interpretable summary measure-the Healthcare Quality and Access (HAQ) Index-on a scale of 0 to 100. The HAQ Index showed strong convergence validity as compared with other health-system indicators, including health expenditure per capita (r= 0.88), an index of 11 universal health coverage interventions (r= 0.83), and human resources for health per 1000 (r= 0.77). We used free disposal hull analysis with bootstrapping to produce a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI), a measure of overall development consisting of income per capita, average years of education, and total fertility rates. This frontier allowed us to better quantify the maximum levels of personal health-care access and quality achieved across the development spectrum, and pinpoint geographies where gaps between observed and potential levels have narrowed or widened over time. Findings Between 1990 and 2015, nearly all countries and territories saw their HAQ Index values improve; nonetheless, the difference between the highest and lowest observed HAQ Index was larger in 2015 than in 1990, ranging from 28.6 to 94.6. Of 195 geographies, 167 had statistically significant increases in HAQ Index levels since 1990, with South Korea, Turkey, Peru, China, and the Maldives recording among the largest gains by 2015. Performance on the HAQ Index and individual causes showed distinct patterns by region and level of development, yet substantial heterogeneities emerged for several causes, including cancers in highest-SDI countries; chronic kidney disease, diabetes, diarrhoeal diseases, and lower respiratory infections among middle-SDI countries; and measles and tetanus among lowest-SDI countries. While the global HAQ Index average rose from 40.7 (95% uncertainty interval, 39.0-42.8) in 1990 to 53.7 (52.2-55.4) in 2015, far less progress occurred in narrowing the gap between observed HAQ Index values and maximum levels achieved; at the global level, the difference between the observed and frontier HAQ Index only decreased from 21.2 in 1990 to 20.1 in 2015. If every country and territory had achieved the highest observed HAQ Index by their corresponding level of SDI, the global average would have been 73.8 in 2015. Several countries, particularly in eastern and western sub-Saharan Africa, reached HAQ Index values similar to or beyond their development levels, whereas others, namely in southern sub-Saharan Africa, the Middle East, and south Asia, lagged behind what geographies of similar development attained between 1990 and 2015. Interpretation This novel extension of the GBD Study shows the untapped potential for personal health-care access and quality improvement across the development spectrum. Amid substantive advances in personal health care at the national level, heterogeneous patterns for individual causes in given countries or territories suggest that few places have consistently achieved optimal health-care access and quality across health-system functions and therapeutic areas. This is especially evident in middle-SDI countries, many of which have recently undergone or are currently experiencing epidemiological transitions. The HAQ Index, if paired with other measures of health-systemcharacteristics such as intervention coverage, could provide a robust avenue for tracking progress on universal health coverage and identifying local priorities for strengthening personal health-care quality and access throughout the world., Bill & Melinda Gates Foundation.

Published
2017

134. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015

Author

Haidong, Wang, Mohsen, Naghavi, Christine, Allen, Ryan M, Barber Zulfi, qar A, Bhutta, Austin, Carter, Daniel C, Casey Fiona, J Charlson, Alan Zian, Chen Matthew, M Coates, Megan, Coggeshall, Lalit, Dandona, Daniel J, Dicker Holly, E Erskine, Alize J, Ferrari, Christina, Fitzmaurice, Kyle, Foreman, Mohammad H, Forouzanfar Maya, S Fraser, Nancy, Fullman, Peter W, Gething Ellen, M Goldberg, Nicholas, Graetz, Juanita A, Haagsma Simon, I Hay, Chantal, Huynh, Catherine O, Johnson Nicholas, J Kassebaum, Yohannes, Kinfu, Xie Rachel, Kulikoff, Michael, Kutz, Hmwe H, Kyu Heidi, J Larson, Janni, Leung, Xiaofeng, Liang, Stephen S, Lim, Margaret, Lind, Rafael, Lozano, Neal, Marquez, George A, Mensah, Joe, Mikesell, Ali H, Mokdad Meghan, D Mooney, Grant, Nguyen, Elaine, Nsoesie, David M, Pigott, Christine, Pinho, Gregory A, Roth Joshua, A Salomon, Logan, Sandar, Naris, Silpakit, Amber, Sligar, Reed J, D Sorensen, Jeff rey, Stanaway, Caitlyn, Steiner, Stephanie, Teeple, Bernadette A, Thomas, 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Subjects
VITAL-STATISTICS, INTEGRATED APPROACH, ECONOMIC-DEVELOPMENT, DEVELOPMENT ASSISTANCE, UNITED-STATES, Global Health, Communicable Disease, Communicable Diseases, cause of death, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, Humans, Mortality, Medicine(all), Science & Technology, Mortality, Premature, Medicine (all), EPIDEMIOLOGIC TRANSITION, GBD 2015 Mortality and Causes of Death Collaborators, CIVIL REGISTRATION, Public Health, Global Health, Social Medicine and Epidemiology, Articles, 11 Medical And Health Sciences, ROAD TRAFFIC INJURIES, ALZHEIMERS-DISEASE, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, VERBAL AUTOPSY, Life Sciences & Biomedicine, Human
Abstract

Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography-year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61.7 years (95% uncertainty interval 61.4-61.9) in 1980 to 71.8 years (71.5-72.2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11.3 years (3.7-17.4), to 62.6 years (56.5-70.2). Total deaths increased by 4.1% (2.6-5.6) from 2005 to 2015, rising to 55.8 million (54.9 million to 56.6 million) in 2015, but age-standardised death rates fell by 17.0% (15.8-18.1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable diseases (NCDs), with total deaths from these causes increasing by 14.1% (12.6-16.0) to 39.8 million (39.2 million to 40.5 million) in 2015, whereas age-standardised rates decreased by 13.1% (11.9-14.3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42.1%, 39.1-44.6), malaria (43.1%, 34.7-51.8), neonatal preterm birth complications (29.8%, 24.8-34.9), and maternal disorders (29.1%, 19.3-37.1). Progress was slower for several causes, such as lower respiratory infections and nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000-183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000-532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and nutritional diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Copyright (C) The Author(s). Published by Elsevier Ltd.

Published
2016

135. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015 : a systematic analysis for the Global Burden of Disease Study 2015

Author

Vasiliki Stathopoulou, Kiran Thapa, Vesper Hichilombwe Chisumpa, Azeem Majeed, Hjalte Holm Andersen, Devasahayam J. Christopher, Alireza Mohammadi, John J. McGrath, Konstantin Kazanjan, Naohiro Yonemoto, Guoqing Hu, Yousef Khader, Suzanne Barker-Collo, Frida Namnyak Ngalesoni, Jennifer O Lam, Laetitia Huiart, Xiaofeng Liang, Amanuel Tesfay Gebremedhin, Lalit Dandona, Felix Masiye, Joseph R Fitchett, Derrick A Bennett, Rosana E. Norman, Theo Vos, Tuomo J. Meretoja, Rahman Shiri, Melvin Barrientos Marzan, Charles R. Newton, Kelly Cercy, Masoud Vaezghasemi, Elena Alvarez Martin, Christopher Troeger, Ismael R. Campos-Nonato, Amany H Refaat, Ruben Castro, Amiran Gamkrelidze, Michael R. Phillips, Samath D Dharmaratne, Reed J D Sorensen, Roderick J. Hay, Johan Ärnlöv, Ivo Rakovac, Alexandra Brazinova, Nancy Fullman, Sara Sheikhbahaei, Liliana G Ciobanu, Nader Jahanmehr, Yuming Guo, Luigi Naldi, Rana Jawad Asghar, Tsegaye Tewelde Gebrehiwot, Corine Karema, Biju Abraham, Rynaz H S Rabiee, Emerito Jose A. Faraon, Philimon Gona, Jonathan I. Silverberg, Alexandria Brown, Kovin Naidoo, Suleman Atique, Yun Jin Kim, Benn Sartorius, Hwashin Hyun Shin, George Mugambage Ruhago, Adugnaw Berhane, Tesfaye Tekle, Abdur Rahman Khan, Vipin Gupta, Nima Hafezi-Nejad, Héctor Gómez-Dantés, Jun She, Ted R. Miller, Tolesa Bekele, Yohannes Kinfu, Srinivas Murthy, Alaa Badawi, Mahfuzar Rahman, Raghib Ali, Robert G. Weintraub, Nicholas Steel, Khalid A Altirkawi, Muhammad Imran Nisar, Man Mohan Mehndiratta, Thomas N. Williams, Adrian Davis, Usha Ram, Nobuyuki Horita, Qingyang Xiao, Bishal Gyawali, Burcu Kucuk Bicer, Eun-Kee Park, Subas Neupane, Mohammad Tavakkoli, Lorenzo Monasta, Roman Topor-Madry, Marc-Alain Widdowson, James Leigh, Padukudru Anand Mahesh, Stephen M. Amrock, Stefan Ma, Virendra Singh, Amir Kasaeian, Mahdi Mahdavi, Shahrzad Bazargan-Hejazi, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Julio Cesar Campuzano, Maria Dolores Sanchez-Niño, Jean B. Nachega, Hamid Asayesh, Pratik Pinal Doshi, Charles Shey Wiysonge, Peter J. Hotez, Ying Jiang, Girma Temam Shifa, Warren D. Lo, Francis Apolinary Mhimbira, Joan B. Soriano, Ritul Kamal, Young-Ho Khang, Isaac Akinkunmi Adedeji, Daniel C Casey, Adeladza Kofi Amegah, Demewoz Haile, Tomi Akinyemiju, Andrew L. Thorne-Lyman, Achala Upendra Jayatilleke, Rajeev Gupta, Rosario Cárdenas, Peter W. Gething, Ami R. 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Subjects
Pediatrics, Nutrition and Disease, Global Health, Communicable Disease, 0302 clinical medicine, Voeding en Ziekte, Infant Mortality, Compensation law of mortality, Global health, Medicine, LIFE EXPECTANCY, 030212 general & internal medicine, DEVELOPING-COUNTRIES, 10. No inequality, Medicine(all), NEWBORN BABIES, Medicine (all), Mortality rate, 1. No poverty, DEATH, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, 11 Medical And Health Sciences, Stillbirth, 3. Good health, Child Mortality, SURVIVAL, CHILD-MORTALITY, HEALTH, Life Sciences & Biomedicine, DEVELOPMENT GOAL 4, Human, INTERVENTIONS, medicine.medical_specialty, RJ, INTEGRATED APPROACH, Developing country, Communicable Diseases, neonatal, 03 medical and health sciences, Medicine, General & Internal, 030225 pediatrics, General & Internal Medicine, Life Science, Humans, Global Burden of Disease Study, VLAG, Estimation, Science & Technology, business.industry, Klinisk medicin, Infant, GBD 2015 Child Mortality Collaborators, Infant mortality, Malaria, Child mortality, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Life expectancy, Clinical Medicine, RG, business, Demography
Abstract

BACKGROUND: Established in 2000, Millennium Development Goal 4 (MDG4) catalysed extraordinary political, financial, and social commitments to reduce under-5 mortality by two-thirds between 1990 and 2015. At the country level, the pace of progress in improving child survival has varied markedly, highlighting a crucial need to further examine potential drivers of accelerated or slowed decreases in child mortality. The Global Burden of Disease 2015 Study (GBD 2015) provides an analytical framework to comprehensively assess these trends for under-5 mortality, age-specific and cause-specific mortality among children under 5 years, and stillbirths by geography over time. METHODS: Drawing from analytical approaches developed and refined in previous iterations of the GBD study, we generated updated estimates of child mortality by age group (neonatal, post-neonatal, ages 1-4 years, and under 5) for 195 countries and territories and selected subnational geographies, from 1980-2015. We also estimated numbers and rates of stillbirths for these geographies and years. Gaussian process regression with data source adjustments for sampling and non-sampling bias was applied to synthesise input data for under-5 mortality for each geography. Age-specific mortality estimates were generated through a two-stage age-sex splitting process, and stillbirth estimates were produced with a mixed-effects model, which accounted for variable stillbirth definitions and data source-specific biases. For GBD 2015, we did a series of novel analyses to systematically quantify the drivers of trends in child mortality across geographies. First, we assessed observed and expected levels and annualised rates of decrease for under-5 mortality and stillbirths as they related to the Soci-demographic Index (SDI). Second, we examined the ratio of recorded and expected levels of child mortality, on the basis of SDI, across geographies, as well as differences in recorded and expected annualised rates of change for under-5 mortality. Third, we analysed levels and cause compositions of under-5 mortality, across time and geographies, as they related to rising SDI. Finally, we decomposed the changes in under-5 mortality to changes in SDI at the global level, as well as changes in leading causes of under-5 deaths for countries and territories. We documented each step of the GBD 2015 child mortality estimation process, as well as data sources, in accordance with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). FINDINGS: Globally, 5·8 million (95% uncertainty interval [UI] 5·7-6·0) children younger than 5 years died in 2015, representing a 52·0% (95% UI 50·7-53·3) decrease in the number of under-5 deaths since 1990. Neonatal deaths and stillbirths fell at a slower pace since 1990, decreasing by 42·4% (41·3-43·6) to 2·6 million (2·6-2·7) neonatal deaths and 47·0% (35·1-57·0) to 2·1 million (1·8-2·5) stillbirths in 2015. Between 1990 and 2015, global under-5 mortality decreased at an annualised rate of decrease of 3·0% (2·6-3·3), falling short of the 4·4% annualised rate of decrease required to achieve MDG4. During this time, 58 countries met or exceeded the pace of progress required to meet MDG4. Between 2000, the year MDG4 was formally enacted, and 2015, 28 additional countries that did not achieve the 4·4% rate of decrease from 1990 met the MDG4 pace of decrease. However, absolute levels of under-5 mortality remained high in many countries, with 11 countries still recording rates exceeding 100 per 1000 livebirths in 2015. Marked decreases in under-5 deaths due to a number of communicable diseases, including lower respiratory infections, diarrhoeal diseases, measles, and malaria, accounted for much of the progress in lowering overall under-5 mortality in low-income countries. Compared with gains achieved for infectious diseases and nutritional deficiencies, the persisting toll of neonatal conditions and congenital anomalies on child survival became evident, especially in low-income and low-middle-income countries. We found sizeable heterogeneities in comparing observed and expected rates of under-5 mortality, as well as differences in observed and expected rates of change for under-5 mortality. At the global level, we recorded a divergence in observed and expected levels of under-5 mortality starting in 2000, with the observed trend falling much faster than what was expected based on SDI through 2015. Between 2000 and 2015, the world recorded 10·3 million fewer under-5 deaths than expected on the basis of improving SDI alone. INTERPRETATION: Gains in child survival have been large, widespread, and in many places in the world, faster than what was anticipated based on improving levels of development. Yet some countries, particularly in sub-Saharan Africa, still had high rates of under-5 mortality in 2015. Unless these countries are able to accelerate reductions in child deaths at an extraordinary pace, their achievement of proposed SDG targets is unlikely. Improving the evidence base on drivers that might hasten the pace of progress for child survival, ranging from cost-effective intervention packages to innovative financing mechanisms, is vital to charting the pathways for ultimately ending preventable child deaths by 2030. FUNDING: Bill & Melinda Gates Foundation. Erratum: Department of Error, The Lancet,Volume 389, Issue 10064, 2017, Page e1. DOI: 10.1016/S0140-6736(16)32608-3

Published
2016

136. Geospatial analysis of injury severity on major roads in Ghana (2017-2020): implications for targeted injury prevention and control initiatives.

Author

Mesic A, Damsere-Derry J, Feldacker C, Larley J, Opoku I, Wuaku DH, Afram MO, Ekuban E, Mooney SJ, Gyedu A, Mock CN, Kitali AE, Wagenaar BH, Osei-Ampofo M, and Stewart BT

Abstract

Background: Road safety authorities in high-income countries use geospatial motor vehicle collision data for planning hazard reduction and intervention targeting. However, low-income and middle-income countries (LMICs) rarely conduct such geospatial analyses due to a lack of data. Since 1991, Ghana has maintained a database of all collisions and is uniquely positioned to lead data-informed road injury prevention and control initiatives., Methods: We identified and mapped geospatial patterns of hotspots of collisions, injuries, severe injuries and deaths using a well-known injury severity index with geographic information systems statistical methods (Getis-Ord Gi*)., Results: We identified specific areas (4.66% of major roads in urban areas and 6.16% of major roads in rural areas) to target injury control. Key roads, including National Road 1 (from the border of Cote D'Ivoire to the border of Togo) and National Road 6 (from Accra to Kumasi), have a significant concentration of high-risk roads., Conclusions: A few key road sections are critical to target for injury prevention. We conduct a collaborative geospatial study to demonstrate the importance of addressing data and research gaps in LMICs and call for similar future research on targeting injury control and prevention efforts., 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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137. Consensus recommendations for acute trauma care & outcomes in LMICs from the transdisciplinary research, advocacy & implementation network for trauma in India.

Author

Roy N, Khajanchi M, Alty IG, Hamzah R, Aroke A, Banerjee N, Bhoi S, Chatterjee S, Soni KD, Gadgil A, Gururaj G, Jagnoor J, Joshi A, Joshipura M, Kamble J, Malhotra AK, Mehta S, Mock CN, Mohan R, Nathani P, Rawat R, Sarang B, Sharma MR, Sharma N, Sinha TP, Tewari P, Perez-Iglesias CT, Tripathi I, Leitz PTU, and Raykar NP

Subjects
Humans, India epidemiology, Resuscitation, Consensus, Registries, Developing Countries, Emergency Medical Services standards, Wounds and Injuries therapy, Wounds and Injuries epidemiology
Abstract

Background & objectives Injuries profoundly impact global health, with substantial deaths and disabilities, especially in low- and middle-income countries (LMICs). This paper presents strategic consensus from the Transdisciplinary Research, Advocacy, and Implementation Network for Trauma in India (TRAIN Trauma India) symposium, advocating for enhanced, system-level trauma care to address this challenge. Methods Five working groups conducted separate literature reviews on pre-hospital trauma care, in-hospital trauma resuscitation and training, trauma systems, trauma registries, and India's Towards Improving Trauma Care Outcomes (TITCO) registry. Using a Delphi approach, the TRAIN Trauma India Symposium generated consensus statements and recommendations for interventions to streamline trauma care and reduce preventable trauma mortality in India and LMICs. Experts prioritized interventions based on cost and difficulty. Results An expert panel agreed on four pre-hospital consensus statements, eight hospital resuscitation consensus statements, six system-level consensus statements, and six trauma registry consensus statements. The expert panel recommended six pre-hospital interventions, four hospital resuscitation interventions, nine system-level interventions, and seven trauma registry interventions applicable to the Indian context. Of these, 14 interventions were ranked as low cost/low difficulty, five high cost/low difficulty, five low cost/high difficulty, and three high cost/high difficulty. Interpretation & conclusions This consensus underscores the urgent need for integrated and efficient trauma systems to reduce preventable mortality, emphasizing the importance of comprehensive care that includes community engagement and robust pre-hospital and acute hospital trauma care pathways. It highlights the critical role of inclusive, system-wide approaches, from enhancing pre-hospital care and in-hospital resuscitation to implementing effective trauma registries to improve outcomes and streamline care across contexts.

Published
2024
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138. Effect of different helmet types in head injuries: a case-control study in northern Ghana.

Author

Baffour Appiah A, Akweongo P, Sackey SO, Morna MT, Kenu E, Buunaaim ADB, Debrah SAY, Ojo TK, Donkor P, and Mock CN

Subjects
Humans, Case-Control Studies, Prospective Studies, Ghana epidemiology, Accidents, Traffic, Motorcycles, Head Protective Devices, Craniocerebral Trauma epidemiology, Craniocerebral Trauma prevention & control
Abstract

Background: Motorcycle helmet use is low in Ghana and many helmets are non-standard. There are limited data on the effectiveness of the different helmet types in use in the real-world circumstances of low-income and middle-income countries. This study assessed the effect of different helmet types on risk of head injury among motorcycle crash victims in northern Ghana., Methods: A prospective unmatched case-control study was conducted at the Tamale Teaching Hospital (TTH). All persons who had injuries from a motorcycle crash within 2 weeks of presentation to TTH were consecutively sampled. A total of 349 cases, persons who sustained minor to severe head injury, and 363 controls, persons without head injury, were enrolled. A semistructured questionnaire was used to interview patients and review their medical records. Multivariable logistic regression was used to estimate odds for head injury., Results: After adjusting for confounders, the odds of head injuries were 93% less in motorcyclists with full-face helmet (FFH) (adjusted OR, AOR 0.07, 95% CI 0.04 to 0.15) or open-face helmet (OFH) (AOR 0.07, 95% CI 0.04, 0.13), compared with unhelmeted motorcyclists. Half-coverage helmets (HCH) were less effective (AOR 0.41, 95% CI 0.18 to 0.92). With exception of HCH, the AORs of head injury for the different types of helmets were lower in riders (FFH=0.06, OFH=0.05 and HCH=0.47) than in pillion riders (FFH=0.11, OFH=0.12 and HCH=0.35)., Conclusion: Even in this environment where there is a high proportion of non-standard helmets, the available helmets provided significant protection against head injury, but with considerably less protection provided by HCHs., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2023
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139. Estimates of Treatable Deaths Within the First 20 Years of Life from Scaling Up Surgical Care at First-Level Hospitals in Low- and Middle-Income Countries.

Author

Sykes AG, Seyi-Olajide J, Ameh EA, Ozgediz D, Abbas A, Abib S, Ademuyiwa A, Ali A, Aziz TT, Chowdhury TK, Abdelhafeez H, Ignacio RC, Keller B, Klazura G, Kling K, Martin B, Philipo GS, Thangarajah H, Yap A, Meara JG, Bundy DAP, Jamison DT, Mock CN, and Bickler SW

Subjects
Adolescent, Child, Child, Preschool, Global Health, Hospitals, Humans, Infant, Newborn, Developing Countries, Income
Abstract

Background: Surgical care is an important, yet often neglected component of child health in low- and middle-income countries (LMICs). This study examines the potential impact of scaling up surgical care at first-level hospitals in LMICs within the first 20 years of life., Methods: Epidemiological data from the global burden of disease 2019 Study and a counterfactual method developed for the disease control priorities; 3rd Edition were used to estimate the number of treatable deaths in the under 20 year age group if surgical care could be scaled up at first-level hospitals. Our model included three digestive diseases, four maternal and neonatal conditions, and seven common traumatic injuries., Results: An estimated 314,609 (95% UI, 239,619-402,005) deaths per year in the under 20 year age group could be averted if surgical care were scaled up at first-level hospitals in LMICs. Most of the treatable deaths are in the under-5 year age group (80.9%) and relates to improved obstetrical care and its effect on reducing neonatal encephalopathy due to birth asphyxia and trauma. Injuries are the leading cause of treatable deaths after age 5 years. Sixty-one percent of the treatable deaths occur in lower middle-income countries. Overall, scaling up surgical care at first-level hospitals could avert 5·1% of the total deaths in children and adolescents under 20 years of age in LMICs per year., Conclusions: Improving the capacity of surgical services at first-level hospitals in LMICs has the potential to avert many deaths within the first 20 years of life., (© 2022. The Author(s).)

Published
2022
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140. Nationwide enumeration of emergency operations performed in Ghana.

Author

Butler EK, Gyedu A, Stewart BT, Quansah R, Donkor P, and Mock CN

Subjects
Emergencies, Female, Ghana epidemiology, Humans, Pregnancy, Tertiary Care Centers, Benchmarking, Hospitals, District
Abstract

Purpose: To determine the population-based rate of emergency surgery performed in Ghana, categorized by hospital level., Methods: Data on operations performed from June 2014 to May 2015 were obtained from a nationally representative sample of hospitals and scaled up to nationwide estimates. Operations were categorized as to: "emergency" or "elective" and as to "essential" (most cost-effective, highest population impact) or "other" according to the World Bank's Disease Control Priorities project., Results: Of 232,776 (95% UI 178,004-287,549) total operations performed nationally, 48% were emergencies. 112,036 emergency operations (95% UI 92,105-131,967) were performed and the annual national rate was 416 per 100,000 population (95% UI 342-489). Most emergency operations (87%) were in the essential category. Of essential emergency procedures, 47% were obstetric and gynecologic, 22% were general surgery, and 31% were trauma. District (first-level) hospitals performed 54%, regional hospitals 10%, and tertiary hospitals 36% of all emergency operations. About half (54%) of district hospitals did not have a fully trained surgeon, however, these hospitals performed 36% of district hospital emergency operations and 20% of all emergency operations., Conclusions: Emergency operations make up nearly half of all operations performed in Ghana. Most are performed at district hospitals, many of which do not have fully trained surgeons. Obstetric procedures make up a large portion of emergency operations, indicating a need for improved provision of non-obstetric emergency surgical care. These data are useful for future benchmarking efforts to improve availability of emergency surgical care in Ghana and other low- and middle-income countries., (© 2019. Springer-Verlag GmbH Germany, part of Springer Nature.)

Published
2021
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141. Global and National Burden of Diseases and Injuries Among Children and Adolescents Between 1990 and 2013: Findings From the Global Burden of Disease 2013 Study.

Author

Kyu HH, Pinho C, Wagner JA, Brown JC, Bertozzi-Villa A, Charlson FJ, Coffeng LE, Dandona L, Erskine HE, Ferrari AJ, Fitzmaurice C, Fleming TD, Forouzanfar MH, Graetz N, Guinovart C, Haagsma J, Higashi H, Kassebaum NJ, Larson HJ, Lim SS, Mokdad AH, Moradi-Lakeh M, Odell SV, Roth GA, Serina PT, Stanaway JD, Misganaw A, Whiteford HA, Wolock TM, Wulf Hanson S, Abd-Allah F, Abera SF, Abu-Raddad LJ, AlBuhairan FS, Amare AT, Antonio CA, Artaman A, Barker-Collo SL, Barrero LH, Benjet C, Bensenor IM, Bhutta ZA, Bikbov B, Brazinova A, Campos-Nonato I, Castañeda-Orjuela CA, Catalá-López F, Chowdhury R, Cooper C, Crump JA, Dandona R, Degenhardt L, Dellavalle RP, Dharmaratne SD, Faraon EJ, Feigin VL, Fürst T, Geleijnse JM, Gessner BD, Gibney KB, Goto A, Gunnell D, Hankey GJ, Hay RJ, Hornberger JC, Hosgood HD, Hu G, Jacobsen KH, Jayaraman SP, Jeemon P, Jonas JB, Karch A, Kim D, Kim S, Kokubo Y, Kuate Defo B, Kucuk Bicer B, Kumar GA, Larsson A, Leasher JL, Leung R, Li Y, Lipshultz SE, Lopez AD, Lotufo PA, Lunevicius R, Lyons RA, Majdan M, Malekzadeh R, Mashal T, Mason-Jones AJ, Melaku YA, Memish ZA, Mendoza W, Miller TR, Mock CN, Murray J, Nolte S, Oh IH, Olusanya BO, Ortblad KF, Park EK, Paternina Caicedo AJ, Patten SB, Patton GC, Pereira DM, Perico N, Piel FB, Polinder S, Popova S, Pourmalek F, Quistberg DA, Remuzzi G, Rodriguez A, Rojas-Rueda D, Rothenbacher D, Rothstein DH, Sanabria J, Santos IS, Schwebel DC, Sepanlou SG, Shaheen A, Shiri R, Shiue I, Skirbekk V, Sliwa K, Sreeramareddy CT, Stein DJ, Steiner TJ, Stovner LJ, Sykes BL, Tabb KM, Terkawi AS, Thomson AJ, Thorne-Lyman AL, Towbin JA, Ukwaja KN, Vasankari T, Venketasubramanian N, Vlassov VV, Vollset SE, Weiderpass E, Weintraub RG, Werdecker A, Wilkinson JD, Woldeyohannes SM, Wolfe CD, Yano Y, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yu C, El Sayed Zaki M, Naghavi M, Murray CJ, and Vos T

Subjects
Adolescent, Adolescent Health statistics & numerical data, Bayes Theorem, Child, Child Health statistics & numerical data, Child Mortality trends, Child, Preschool, Female, Global Health statistics & numerical data, Humans, Male, Prevalence, Public Health Surveillance, Quality-Adjusted Life Years, Adolescent Health trends, Child Health trends, Cost of Illness, Developed Countries statistics & numerical data, Developing Countries statistics & numerical data, Global Health trends, Wounds and Injuries epidemiology
Abstract

Importance: The literature focuses on mortality among children younger than 5 years. Comparable information on nonfatal health outcomes among these children and the fatal and nonfatal burden of diseases and injuries among older children and adolescents is scarce., Objective: To determine levels and trends in the fatal and nonfatal burden of diseases and injuries among younger children (aged <5 years), older children (aged 5-9 years), and adolescents (aged 10-19 years) between 1990 and 2013 in 188 countries from the Global Burden of Disease (GBD) 2013 study., Evidence Review: Data from vital registration, verbal autopsy studies, maternal and child death surveillance, and other sources covering 14,244 site-years (ie, years of cause of death data by geography) from 1980 through 2013 were used to estimate cause-specific mortality. Data from 35,620 epidemiological sources were used to estimate the prevalence of the diseases and sequelae in the GBD 2013 study. Cause-specific mortality for most causes was estimated using the Cause of Death Ensemble Model strategy. For some infectious diseases (eg, HIV infection/AIDS, measles, hepatitis B) where the disease process is complex or the cause of death data were insufficient or unavailable, we used natural history models. For most nonfatal health outcomes, DisMod-MR 2.0, a Bayesian metaregression tool, was used to meta-analyze the epidemiological data to generate prevalence estimates., Findings: Of the 7.7 (95% uncertainty interval [UI], 7.4-8.1) million deaths among children and adolescents globally in 2013, 6.28 million occurred among younger children, 0.48 million among older children, and 0.97 million among adolescents. In 2013, the leading causes of death were lower respiratory tract infections among younger children (905.059 deaths; 95% UI, 810,304-998,125), diarrheal diseases among older children (38,325 deaths; 95% UI, 30,365-47,678), and road injuries among adolescents (115,186 deaths; 95% UI, 105,185-124,870). Iron deficiency anemia was the leading cause of years lived with disability among children and adolescents, affecting 619 (95% UI, 618-621) million in 2013. Large between-country variations exist in mortality from leading causes among children and adolescents. Countries with rapid declines in all-cause mortality between 1990 and 2013 also experienced large declines in most leading causes of death, whereas countries with the slowest declines had stagnant or increasing trends in the leading causes of death. In 2013, Nigeria had a 12% global share of deaths from lower respiratory tract infections and a 38% global share of deaths from malaria. India had 33% of the world's deaths from neonatal encephalopathy. Half of the world's diarrheal deaths among children and adolescents occurred in just 5 countries: India, Democratic Republic of the Congo, Pakistan, Nigeria, and Ethiopia., Conclusions and Relevance: Understanding the levels and trends of the leading causes of death and disability among children and adolescents is critical to guide investment and inform policies. Monitoring these trends over time is also key to understanding where interventions are having an impact. Proven interventions exist to prevent or treat the leading causes of unnecessary death and disability among children and adolescents. The findings presented here show that these are underused and give guidance to policy makers in countries where more attention is needed., Competing Interests: Conflict of Interest Disclosures: Dr. Kassebaum reports personal fees and non-financial support from Vifor Pharmaceuticals, Axon Communications LLC and Merck & Co outside the submitted work. KPG was awarded the NHMRC-Gustav Nossal Postgraduate Award sponsored by CSL; this award is peer reviewed and CSL had no part in selecting the awardee. Prof. Lotufo reports honoraria (modest) from Abbvie for one lecture. Walter Mendoza is program analyst at the UNFPA country office in Peru, which not necessarily endorses the study. Prof. Santos reports receiving a grant from São Paulo Research Foundation/FAPESP (Brazilian governmental research agency) for research purposes. In the past 3 years, Dr. Stein has received research grants and/or consultancy honoraria from AMBRF, Biocodex, Cipla, Lundbeck, National Responsible Gambling Foundation, Novartis, Servier, and Sun. No other conflicts are reported.

Published
2016
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142. The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013.

Author

Haagsma JA, Graetz N, Bolliger I, Naghavi M, Higashi H, Mullany EC, Abera SF, Abraham JP, Adofo K, Alsharif U, Ameh EA, Ammar W, Antonio CA, Barrero LH, Bekele T, Bose D, Brazinova A, Catalá-López F, Dandona L, Dandona R, Dargan PI, De Leo D, Degenhardt L, Derrett S, Dharmaratne SD, Driscoll TR, Duan L, Petrovich Ermakov S, Farzadfar F, Feigin VL, Franklin RC, Gabbe B, Gosselin RA, Hafezi-Nejad N, Hamadeh RR, Hijar M, Hu G, Jayaraman SP, Jiang G, Khader YS, Khan EA, Krishnaswami S, Kulkarni C, Lecky FE, Leung R, Lunevicius R, Lyons RA, Majdan M, Mason-Jones AJ, Matzopoulos R, Meaney PA, Mekonnen W, Miller TR, Mock CN, Norman RE, Orozco R, Polinder S, Pourmalek F, Rahimi-Movaghar V, Refaat A, Rojas-Rueda D, Roy N, Schwebel DC, Shaheen A, Shahraz S, Skirbekk V, Søreide K, Soshnikov S, Stein DJ, Sykes BL, Tabb KM, Temesgen AM, Tenkorang EY, Theadom AM, Tran BX, Vasankari TJ, Vavilala MS, Vlassov VV, Woldeyohannes SM, Yip P, Yonemoto N, Younis MZ, Yu C, Murray CJ, and Vos T

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Cause of Death trends, Child, Child, Preschool, Disabled Persons statistics & numerical data, Female, Humans, Incidence, Infant, Male, Middle Aged, Mortality trends, Quality-Adjusted Life Years, Risk Factors, Wounds and Injuries etiology, Wounds and Injuries mortality, Young Adult, Cost of Illness, Global Health, Wounds and Injuries epidemiology
Abstract

Background: The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country., Methods: Injury mortality was estimated using the extensive GBD mortality database, corrections for ill-defined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures., Results: In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries., Conclusions: Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Published
2016
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143. Long-term injury related disability in Ghana.

Author

Mock CN, Boland E, Acheampong F, and Adjei S

Subjects
Accidents, Traffic statistics & numerical data, Female, Ghana epidemiology, Humans, Interviews as Topic, Male, Prevalence, Time Factors, Trauma Severity Indices, Wounds and Injuries diagnosis, Wounds and Injuries epidemiology, Disability Evaluation, Disabled Persons statistics & numerical data, Wounds and Injuries classification
Published
2003
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144. Child and adult pedestrian impact: the influence of vehicle type on injury severity.

Author

Henary BY, Crandall J, Bhalla K, Mock CN, and Roudsari BS

Subjects
Abbreviated Injury Scale, Adolescent, Adult, Age Factors, Child, Child, Preschool, Cross-Sectional Studies, Humans, Injury Severity Score, Middle Aged, Risk Factors, Accidents, Traffic mortality, Automobiles classification, Wounds and Injuries mortality
Abstract

In the United States, the vehicle fleet is shifting from predominantly passenger cars (automobiles) to SUVs, light trucks, and vans (LTV). This study investigates how pedestrian severe injury and mortality are associated with vehicle type and pedestrian age. The Pedestrian Crash Data Study (PCDS) database for years 1994-1998 was used for a cross-sectional study design. Outcome measures were Injury Severity Score, Maximum Abbreviated Injury Score, Abbreviated Injury Scale, Pedestrian Mortality, Functional Capacity Index and Life Years Lost to Injury. Compared to children, adult pedestrians were more likely to sustain severe injury (OR = 2.81; 95% CI: 1.56-5.06) or mortality (OR = 2.91; 95% CI: 1.10-7.74) when examining all vehicle types. However, after adjusting for vehicle type and impact speed, this association was not statistically significant at p < 0.05. Compared to passenger cars, pedestrians struck by LTV were more likely to have severe injuries (OR = 1.31; 95% CI: 0.88-1.94) or mortality (OR = 1.40; 95% CI: 0.84-2.34) for all pedestrians. Adjusting for pedestrian age, this association was more obvious and significant at lower impact speeds ( < or = 30 km/h); odds ratios of severe injury and mortality were 3.34 (p< 0.01) and 1.87 (p= 0.07), respectively. Adults hit by LTV had the highest risk of injury and mortality. These findings indicate that pedestrian age, vehicle engineering design and impact speed are highly contributing to risks of pedestrian injury and mortality.

Published
2003

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