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101. Prevalence and causes of vision loss in Latin America and the Caribbean: 1990–2010

Author: Leasher, Janet L, Lansingh, Van, Flaxman, Seth R, Jonas, Jost B, Keeffe, Jill, Naidoo, Kovin, Pesudovs, Konrad, Price, Holly, Silva, Juan Carlos, White, Richard A, Wong, Tien Y, Resnikoff, Serge, Taylor, Hugh R, and Bourne, Rupert R A
Published: 2014
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102. Obstacle crossing in patients with visual field impairment

Author: Scarfe, Amy C., Timmis, Matthew A., Tabrett, Daryl R., Bourne, Rupert R., and Pardhan, Shahina
Published: 2014

103. Social media use by patients with glaucoma: what can we learn?

Author: McGregor, Freia, Somner, John E A, Bourne, Rupert R, Munn-Giddings, Carol, Shah, Peter, and Cross, Vinette
Published: 2014
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104. Prevalence and causes of blindness and vision impairment: Magnitude, temporal trends and projections in South and Central Asia

Author: Ronnie George, Serge Resnikoff, Rupert R A Bourne, Maria Vittoria Cicinelli, Janet L Leasher, Seth Flaxman, Leon B. Ellwein, Aditi Das, Hugh R. Taylor, Tien Yin Wong, Jost B. Jonas, Hans Limburg, Nina Tahhan, Alexander J Silvester, Kovin Naidoo, Vinay Nangia, Konrad Pesudovs, John H. Kempen, Jill E Keeffe, Vijaya Lingam, Nangia, Vinay, Jonas, Jost B, George, Ronnie, Lingam, Vijaya, Ellwein, Leon, Cicinelli, Maria Vittoria, Das, Aditi, Flaxman, Seth R, Keeffe, Jill E, Kempen, John H, Leasher, Janet, Limburg, Han, Naidoo, Kovin, Pesudovs, Konrad, Resnikoff, Serge, Silvester, Alexander J, Tahhan, Nina, Taylor, Hugh R, Wong, Tien Y, Bourne, Rupert R A, on behalf of the Vision Loss Expert Group of the Global Burden of Disease, Study, and Battaglia Parodi, Maurizio
Subjects: Pediatrics, Refractive error, Visual acuity, genetic structures, Glaucoma, vision loss expert group, Ophthalmology & Optometry, Blindness, 0302 clinical medicine, WORLDWIDE, Risk Factors, Prevalence, blindne, refractive error, POPULATION, Asia, Southeastern, education.field_of_study, vision loss, GLOBAL PREVALENCE, Diabetic retinopathy, Sensory Systems, 1113 Opthalmology and Optometry, Trachoma, cataract, global burden of disease study, Asia, Central, epidemiology, medicine.symptom, Life Sciences & Biomedicine, medicine.medical_specialty, macular degeneration, Population, Visual impairment, Vision Disorders, CEGUEIRA, 1117 Public Health and Health Services, vision lo, 03 medical and health sciences, Cellular and Molecular Neuroscience, medicine, vision impairment, Humans, VISUAL IMPAIRMENT, education, Science & Technology, business.industry, 1103 Clinical Sciences, Macular degeneration, Vision Loss Expert Group of the Global Burden of Disease Study, medicine.disease, RANIBIZUMAB, eye diseases, Ophthalmology, glaucoma, 030221 ophthalmology & optometry, business, Sensory System, 030217 neurology & neurosurgery
Abstract: BackgroundTo assess prevalence and causes of vision loss in Central and South Asia.MethodsA systematic review of medical literature assessed the prevalence of blindness (presenting visual acuityResultsIn Central and South Asia combined, age-standardised prevalences of blindness, MSVI and MVI in 2015 were for men and women aged 50+years, 3.72% (80% uncertainty interval (UI): 1.39–6.75) and 4.00% (80% UI: 1.41–7.39), 16.33% (80% UI: 8.55–25.47) and 17.65% (80% UI: 9.00–27.62), 11.70% (80% UI: 4.70–20.32) and 12.25% (80% UI:4.86–21.30), respectively, with a significant decrease in the study period for both gender. In South Asia in 2015, 11.76 million individuals (32.65% of the global blindness figure) were blind and 61.19 million individuals (28.3% of the global total) had MSVI. From 1990 to 2015, cataract (accounting for 36.58% of all cases with blindness in 2015) was the most common cause of blindness, followed by undercorrected refractive error (36.43%), glaucoma (5.81%), age-related macular degeneration (2.44%), corneal diseases (2.43%), diabetic retinopathy (0.16%) and trachoma (0.04%). For MSVI in South Asia 2015, most common causes were undercorrected refractive error (accounting for 66.39% of all cases with MSVI), followed by cataract (23.62%), age-related macular degeneration (1.31%) and glaucoma (1.09%).ConclusionsOne-third of the global blind resided in South Asia in 2015, although the age-standardised prevalence of blindness and MSVI decreased significantly between 1990 and 2015.
Published: 2019

105. OCT Signal Enhancement with Deep Learning

Author: Lazaridis, Georgios, primary, Lorenzi, Marco, additional, Mohamed-Noriega, Jibran, additional, Aguilar-Munoa, Soledad, additional, Suzuki, Katsuyoshi, additional, Nomoto, Hiroki, additional, Ourselin, Sebastien, additional, Garway-Heath, David F., additional, Crabb, David P., additional, Bunce, Catey, additional, Amalfitano, Francesca, additional, Anand, Nitin, additional, Azuara-Blanco, Augusto, additional, Bourne, Rupert R., additional, Broadway, David C., additional, Cunliffe, Ian A., additional, Diamond, Jeremy P., additional, Fraser, Scott G., additional, Ho, Tuan A., additional, Martin, Keith R., additional, McNaught, Andrew I., additional, Negi, Anil, additional, Shah, Ameet, additional, Spry, Paul G., additional, White, Edward T., additional, Wormald, Richard P., additional, Xing, Wen, additional, and Zeyen, Thierry G., additional
Published: 2021
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106. Progression of myopia in children and teenagers: a nationwide longitudinal study.

Author: Tricard, Dorian, Marillet, Simon, Ingrand, Pierre, Bullimore, Mark A., Bourne, Rupert R. A., and Leveziel, Nicolas
Abstract: Background Data on myopia prevalence and progression in European children are sparse. The aim of this work was to evaluate the progression of myopia in children and teenagers in a large prospective study. Methods A prospective study involving a nationwide cohort. Myopia was defined as a spherical equivalent (SE) of = -0.50 diopters (D). Data on refractive error, gender and age were collected in 696 optical centres in France between 2013 and 2019, including 136 333 children (4-17 years old) in the analysis. Progression of myopia was assessed between the first visit and the last visit over up to 6.5 years. Results Mean age was 11.3±3.8 years (55.0% of female). The proportion of children progressing more than -0.50 D per year was higher in age groups 7-9 years and 10-12 years and in children with SE = -4.00 D at first visit, representing 33.1%, 29.4% and 30.0% of these groups, respectively. In multivariate analysis, progression during the first 11-24 months was higher in the 7-9 and 10-12 age groups (-0.43 D and -0.42 D, respectively), for higher SE at baseline (at least -0.33 D for SE = -1 D) and for girls (-0.35 D). Conclusion This is the first French epidemiological study to investigate myopia progression in a large-scale cohort of children. Sex, age groups and myopia severity are associated with differing rates of progression. [ABSTRACT FROM AUTHOR]
Published: 2022
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107. Evaluating multidisciplinary glaucoma care: visual field progression and loss of sight year analysis in the community vs hospital setting

Author: Mushtaq, Yusuf, primary, Panchasara, Binita, additional, Nassehzadehtabriz, Nikou, additional, Lim, Hong Kai, additional, Mushtaq, Maryam, additional, Kean, Jane, additional, Farrell, Sarah, additional, Bourne, Rupert R. A., additional, Shahid, Humma, additional, Khatib, Tasneem Z., additional, and Martin, Keith R., additional
Published: 2021
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108. Progression of myopia in children and teenagers: a nationwide longitudinal study

Author: Tricard, Dorian, primary, Marillet, Simon, additional, Ingrand, Pierre, additional, Bullimore, Mark A, additional, Bourne, Rupert R A, additional, and Leveziel, Nicolas, additional
Published: 2021
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109. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Bourne, Rupert R. A. and GBD 2019 Diseases and Injuries Collaborators
Abstract: Background:\ud In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries.\ud Methods:\ud GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution.\ud Findings:\ud Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI.\ud Interpretation:\ud As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve.
Published: 2020

110. Prevalence and Causes of Vision Loss in East Asia: 2015: Magnitude, Temporal Trends, and Projections

Author: Cheng, Ching-Yu, Wang, Ning-Li, Wong, Tien Y., Congdon, Nathan, He, Minguang, Wang, Ya Xing, Braithwaite, Tasanee, Casson, Robert, Cicinelli, Maria V., Das, Aditi, Flaxman, Seth R., Jonas, Jost B., Keeffe, Jill, Kempen, John H., Leasher, Janet, Limburg, Hans, Naidoo, Kovin, Pesudovs, Konrad, Resnikoff, Serge, Silvester, Alex, Tahhan, Nina, Taylor, Hugh R., and Bourne, Rupert R. A.
Subjects: genetic structures, sense organs, eye diseases
Abstract: Background: To determine the prevalence and causes of blindness and vision impairment (VI) in East Asia in 2015 and to forecast the trend to 2020.\ud \ud Methods: Through a systematic literature review and meta-analysis, we estimated prevalence of blindness (presenting visual acuity
Published: 2020

111. Vision 2020: Where are We?

Author: Bourne, Rupert R. A.
Subjects: genetic structures, eye diseases
Abstract: Purpose of review:\ud To describe the VISION 2020: The Right to Sight, global initiative for the elimination of avoidable blindness, the contribution of glaucoma to the magnitude of global blindness and priorities going forward. \ud Recent findings:\ud Although the target of the World Health Organization's Global Action Plan (2014–2019) has not been met in terms of 25% reduction in avoidable blindness, there is evidence that the contribution of glaucoma to blindness and vision impairment is reducing. Yet this focus on a threshold of visual acuity by which to measure prevalence underestimates the true burden of glaucoma. Recent population-based studies demonstrate the scale of the unmet need. \ud Summary:\ud Scaling up of integrated people-centered eye care, by embedding glaucoma detection and care pathways in health systems with a strong focus on primary healthcare, is necessary. Solutions include reinforcing existing pathways while emphasizing high-quality glaucoma care, in addition to novel solutions such as self-testing, digital portable technology, artificial intelligence, and multilevel care pathways that extend to the most underserved parts of the global community.
Published: 2020

112. Vision 2020: where are we?

Author: Rupert R A Bourne
Subjects: Visual acuity, genetic structures, Eye Diseases, Population, MEDLINE, Visual Acuity, Glaucoma, Blindness, Global Health, World health, Global health, Prevalence, Medicine, Humans, education, Vision, Ocular, education.field_of_study, business.industry, International Agencies, General Medicine, medicine.disease, eye diseases, Ophthalmology, Action plan, Scale (social sciences), Optometry, medicine.symptom, business
Abstract: Purpose of review To describe the VISION 2020: The Right to Sight, global initiative for the elimination of avoidable blindness, the contribution of glaucoma to the magnitude of global blindness and priorities going forward. Recent findings Although the target of the World Health Organization's Global Action Plan (2014-2019) has not been met in terms of 25% reduction in avoidable blindness, there is evidence that the contribution of glaucoma to blindness and vision impairment is reducing. Yet this focus on a threshold of visual acuity by which to measure prevalence underestimates the true burden of glaucoma. Recent population-based studies demonstrate the scale of the unmet need. Summary Scaling up of integrated people-centered eye care, by embedding glaucoma detection and care pathways in health systems with a strong focus on primary healthcare, is necessary. Solutions include reinforcing existing pathways while emphasizing high-quality glaucoma care, in addition to novel solutions such as self-testing, digital portable technology, artificial intelligence, and multilevel care pathways that extend to the most underserved parts of the global community.
Published: 2020

113. Trends in Prevalence of Blindness and Distance and Near Vision Impairment Over 30 Years and Contribution to the Global Burden of Disease in 2020

Author: Jaimie Adelson, Ningli Wang, Ya Xing Wang, João M. Furtado, Seth Flaxman, Maria Vittoria Cicinelli, Rupert R A Bourne, Rim Kahloun, Kolawole Ogundimu, Hans Limburg, David S. Friedman, Ching-Yu Cheng, Tunde Peto, Paul S Briant, Tien Yin Wong, Michele Bottone, Nathan Congdon, Theo Vos, Van C. Lansingh, Konrad Pesudovs, Ronnie George, Rohit Varma, Nina Tahhan, Moncef Khairallah, Alain M. Bron, Hugh R. Taylor, Robert J Casson, Serge Resnikoff, Tasanee Braithwaite, Arthur Gustavo Fernandes, Alexander J. Silverster, Nikolas Reinig, N. Leveziel, Vinay Nangi, John H. Kempen, Mukharram M. Bikbov, Jost B. Jonas, and Janet L Leasher
Subjects: Burden of disease, medicine.medical_specialty, education.field_of_study, Visual acuity, Blindness, business.industry, Population, Global vision, medicine.disease, Expert group, Near vision, Epidemiology, Medicine, medicine.symptom, business, education, Demography
Abstract: Background: The Vision Loss Expert Group and Global Burden of Disease Study have extensively updated estimates of global vision loss burden in 2020, temporal changeover 3 decades and forecasts for 2050. Methods: A systematic review and meta-analysis was conducted of population-based datasets relevant to vision impairment (VI) from January 1980 to October 2018. Hierarchical models were fitted to estimate 2020 prevalence (with 95% uncertainty intervals, UI) of (1) mild VI (presenting visual acuity [PVA] 6/12). Findings: In 2020, an estimated 43.2 million (95% UI: 37.5-48.2 million; 55% female) people were blind, 295.3 (95% UI 267.0-325.5) million had MSVI, 257.3 (95% UI 232.2-284.7) million had mild VI, and 507.4 million (95% UI 369.3–663.8) were VI from uncorrected presbyopia. Globally among adults aged ≥50 years, age-standardised prevalence of blindness reduced by 29% between 1990 and 2020, while MSVI increased slightly (+2.4%). The number of blind people increased by 50.2% and MSVI by 91.6%. By 2050, we predict 895.5 million people blind/VI. Interpretation: It is encouraging that age-adjusted prevalence of blindness has reduced over the past 3 decades, yet due to population growth progress is not keeping pace with needs. We face enormous challenges in avoiding vision impairment as the global population grows and ages. Funding Statement: Brien Holden Vision Institute. Fondation Thea. Fred Hollows Foundation. Gates Foundation. Sightsavers International. University of Heidelberg. Declaration of Interests: A.M. Bron, Allergan (C) Baush and Lomb (C), Santen (C), Thea (C) - (C) stands for consultant. J Kempen: Consultant (DSMC Chair) for Gilead. Grants and contracts from National Institutes of Health/National Eye Institute; Sight for Souls; and Christoffel Blindenmission. No other authors had conflicts to declare.
Published: 2020

114. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Sorin Hostiuc, Shaun Wen Huey Lee, Jorge R. Ledesma, Carsten Flohr, Masoumeh Sadeghi, João Mauricio Castaldelli-Maia, Behzad Karami Matin, Cyrus Alinia, Mehdi Bohluli, Félix Carvalho, Yun Jin Kim, Catalina Liliana Andrei, Seyyed Meysam Mousavi, Bernhard T. Baune, Ehsan Ahmadpour, Dinh-Toi Chu, Beatrix Haddock, Gianfranco Alicandro, Vasily Vlassov, Mohammad Taghi Khodayari, Gianna Gayle Herrera Amul, Arash Tehrani-Banihashemi, Govinda Prasad Dhungana, Fereshteh Ansari, Michael K. Hole, Azeem Majeed, Iman Halvaei, Saqib Ali, Arianna Maever L. Amit, Tomas Y. Yeheyis, John S. Ji, Martin McKee, Jamileh Shadid, Leonardo Roever, Peng Jia, Ettore Beghi, Pablo M. Lavados, Young Eun Kim, Vahid Alipour, Sowmya J. Rao, Ahmad Daryani, Cathleen Keller, Ibrahim Abdollahpour, Nicole K. DeCleene, Ebrahim Babaee, Saman Esmaeilnejad, Boris Bikbov, William M. Gardner, Lydia M. Haile, Luca Ronfani, Azalea M. Thomson, Irena Ilic, Ruth W. Kimokoti, Yingxi Zhao, Guoqing Hu, Mehran Shams-Beyranvand, Ilais Moreno Velásquez, Nathaniel J. Henry, Brijesh Sathian, Daniel Kim, Peter Memiah, Mohammad Hadi Abbasi, Andrea Farioli, Zahra Kamiab, Bolajoko O. Olusanya, Matthew C. Doxey, Tommi Vasankari, Hamideh Salimzadeh, Luisa Sorio Flor, Priya Rathi, Shanshan Li, Tanvir M. Huda, Dillon O Sylte, Rosario Cárdenas, Agegnehu Bante, Helen Ippolito, Alyssa Acebedo, Jeffrey D. Stanaway, Anwar Faraj, João Pedro Silva, Amin Mousavi Khaneghah, Pushpendra Kumar, Sangram Kishor Patel, Josephine W. Ngunjiri, Holly E. Erskine, Eugene Sobngwi, Filippo Ariani, Shane D. Morrison, Mohammad Aghaali, Meghan D. Mooney, Vera Marisa Costa, Palash Chandra Banik, Rupak Desai, Ken Takahashi, Maigeng Zhou, Morteza Oladnabi, Bogdan Oancea, Daniela Ribeiro, Mohammad Farahmand, Irmina Maria Michalek, Yetunde O. John-Akinola, Khem Narayan Pokhrel, Emilie R Maddison, Syed Mohamed Aljunid, Damian G. Hoy, Hosni Salem, V. Prakash, Shuhei Nomura, Inga Dora Sigfusdottir, Anders Larsson, Sharareh Eskandarieh, Abdollah Mohammadian-Hafshejani, Somayeh Bohlouli, Joana Morgado-da-Costa, Siamak Sabour, Theo Vos, Han Yong Wunrow, Khaled Khatab, Alireza Zangeneh, Ann Kristin Knudsen, Marissa B Reitsma, Hannah J. Henrikson, Randah R. Hamadeh, Tuomo J. Meretoja, Ireneous N. Soyiri, Giuseppe Grosso, Ziyad Al-Aly, Taraneh Yousefinezhadi, Joseph L Ward, Roba Khundkar, Ricardo Santiago Gomez, Reza Malekzadeh, John J. McGrath, Sandra B. Munro, Shahin Soltani, Amy E. Peden, Rufus Akinyemi, Marcel Ausloos, Naohiro Yonemoto, Bogdan Wojtyniak, Ahmad Ghashghaee, Guilherme Borges, Sadia Bibi, Farhad Islami, Hamed Mirzaei, Mohammad Ali Sahraian, M. Ashworth Dirac, Hosna Janjani, Kairat Davletov, Hermann Brenner, Yuichiro Yano, Elissa M. Abrams, Ana Vukovic, Bartosz Miazgowski, Jobert Richie Nansseu, Jennifer O Lam, Mona Pathak, Leeberk Raja Inbaraj, Thirunavukkarasu Sathish, Asadollah Gholamian, Carlos A Castañeda-Orjuela, Babak Eshrati, Edgar Denova-Gutiérrez, Atte Meretoja, Lorenzo Monasta, Ronan A. Lyons, Neda Kianipour, Desalegn Getnet Demsie, Yasir Waheed, Desta Debalkie Atnafu, Davide Sattin, Kevin S Ikuta, Ghobad Moradi, Srinivas Goli, Krittika Bhattacharyya, Mika Kivimäki, Christopher Troeger, Jordi Alonso, Alireza Ahmadi, Navid Manafi, Caroline Stein, Songhomitra Panda-Jonas, Jason Nguyen, Moses K. Muriithi, Aziz Rezapour, Ismael R. Campos-Nonato, Adrian Pana, H. Dean Hosgood, Noore Alam, James L. Fisher, Mariam Molokhia, Susan F. Rumisha, Ernoiz Antriyandarti, Ayman Grada, Emma Nichols, Babak Asghari, André Luiz Sena Guimarães, Ferrán Catalá-López, Aletta E. Schutte, Fiona B. Bennitt, Maciej Banach, Antonio Biondi, Donal Bisanzio, Josip Car, Ronny Westerman, Shafiu Mohammed, Biniyam Sahiledengle Geberemariyam, Kenji Shibuya, Meghdad Pirsaheb, Milena Santric-Milicevic, Karen M. Tabb, Paula Moraga, Soheil Hassanipour, Hasan Yusefzadeh, Avina Vongpradith, Dara K. Mohammad, Ralph Maddison, Babak Moazen, Getachew Mullu Kassa, Rahman Shiri, Fernando Neves Hugo, Hmwe H Kyu, Zachary V Dingels, Florian Fischer, Valentin Yurievich Skryabin, Rafael Tabarés-Seisdedos, Massimo Cirillo, Nikita Otstavnov, Robert C. Reiner, Van C. Lansingh, Rodrigo Sarmiento-Suarez, Ashkan Afshin, Benjamin A Stark, Mohsen Abbasi-Kangevari, Natalie C. Galles, Behnam Heidari, Eun-Kee Park, Mohammad Ali Jahani, Suzanne Polinder, Mahalaqua Nazli Khatib, Farhad Jadidi-Niaragh, Amir Radfar, Mowafa Househ, Derrick A Bennett, Gaorui Guo, Hesam Ghiasvand, Taweewat Wiangkham, Tamás Joó, Cristiana Abbafati, Kathryn Mei Ming Lau, Anita K. Nandi, Miklós Szócska, Manasi Kumar, Eduardo A. Undurraga, Oladimeji M. Adebayo, Simon Yadgir, Victor Aboyans, Justin J. Lang, Catherine O. Johnson, Soewarta Kosen, Carla Sofia e.Sá Farinha, Marcos Roberto Tovani-Palone, Kamarul Imran Musa, Farshad Pourmalek, Kiomars Sharafi, Heather Orpana, Samuel B. Albertson, Mahdi Afshari, Nicholas J K Breitborde, Nelson J. Alvis-Zakzuk, Adrian Oţoiu, Iván Landires, Robert G. Weintraub, Kidanemaryam Berhe, André Faro, Sophia Emmons-Bell, Lauren E. Schaeffer, Alexandre C. Pereira, Mehdi Naderi, Yordanos Gizachew Yeshitila, Mehdi Hosseinzadeh, Arash Etemadi, Oleguer Plana-Ripoll, Theodore Patrick Younker, Joemer C. Maravilla, Alireza Ansari-Moghaddam, Borhan Mansouri, Narayanaswamy Venketasubramanian, Seyed Mohammad Kazem Aghamir, Linda Morales, Amanda Deen, Noushin Mohammadifard, Obinna Onwujekwe, Ai Koyanagi, Michele Nguyen, Chieh Han, Kiana Ramezanzadeh, Mika Shigematsu, Mohammed Shannawaz, Khurshid Alam, Javad Nazari, Bryan L. Sykes, Rajat Das Gupta, Stephen S Lim, Lingkan Barua, Zubair Kabir, Michael Brauer, Afarin Rahimi-Movaghar, Deepa Jahagirdar, Kaja Abbas, Gholamreza Bazmandegan, Mark A. Stokes, Rajaa Al-Raddadi, Kanyin L. Ong, Kate Causey, Ahmed Omar Bali, Matilde Leonardi, Jeffrey V. Lazarus, Wondimeneh Shibabaw Shiferaw, André Karch, Blair R. Bumgarner, Nelson Alvis-Guzman, Jennifer H MacLachlan, Saeed Amini, Parvaiz A Koul, Blessing J. Akombi, Ro Ting Lin, Dabere Nigatu, Alaa Badawi, Flavia M. Cicuttini, Deanna Anderlini, Claudio Alberto Dávila-Cervantes, Rupert R A Bourne, Tanuj Kanchan, Catherine P. Benziger, Tahiya Alam, M. Mofizul Islam, Muktar Omer Omer, Leila Zaki, Mehdi Mirzaei-Alavijeh, Inbal Salz, Katharine J Looker, Shiwei Liu, Fatemeh Amiri, Christopher R. Cederroth, Mitra Abbasifard, Hamidreza Pazoki Toroudi, Gbenga A. Kayode, Antonio Luiz Pinho Ribeiro, Krishna Kumar Aryal, Mu'awiyyah Babale Sufiyan, Mohamed M. Gad, Assefa Desalew, Lidia Morawska, Davood Anvari, Mohammad Reza Salahshoor, Hadi Pourjafar, Abdu A. Adamu, Maryam Adabi, Zulfiqar A. Bhutta, Jessica A. Cruz, Foad Abd-Allah, Amir Hasanzadeh, Jordan Weiss, Maryam Ghadimi, Seyed-Mohammad Fereshtehnejad, Serge Resnikoff, Joanna L Whisnant, Kelly Compton, Priya Parmar, Sanjay Basu, Leila R Kalankesh, Nickolas Reinig, Ana Maria Mantilla Herrera, Fatemeh Rajati, Damian Santomauro, Mojisola Oluwasanu, Sheikh Mohammed Shariful Islam, David M. Pereira, Joht Singh Chandan, Deepak Kumar Pasupula, Aristidis Tsatsakis, Hoa Thi Do, Whitney L. Teagle, Hans W. Hoek, James Leigh, Morteza Arab-Zozani, Yasser Vasseghian, Stephanie R M Zimsen, Charlie Ashbaugh, Fariba Dorostkar, Abdelrahman Ibrahim Abushouk, Mikk Jürisson, Golnaz Heidari, Kala M. Mehta, Saeed Shahabi, Sarah Wulf Hanson, Nizal Sarrafzadegan, Dharmesh Kumar Lal, Hai Quang Pham, Aleksandr Y. Aravkin, Joshua A. Salomon, David C. Schwebel, Milena Ilic, Kareha M Agesa, Jost B. Jonas, Dian Kusuma, Benjamin B. Massenburg, Santosh Varughese, Yousef Mohammad, Beatriz Paulina Ayala Quintanilla, Mihaela Hostiuc, Richard G. Cowden, Morteza Shamsizadeh, Thomas Pilgrim, Alessandra C. Goulart, Leila Doshmangir, Gabriele Nagel, Saravanan Muthupandian, Zahra Sadat Dibaji Forooshani, Maryam Mirzaei, Zabihollah Yousefi, Shadrach Wilson, Iman El Sayed, Juanita A. Haagsma, Segun Emmanuel Ibitoye, Eirini Skiadaresi, Reza Shirkoohi, Tim Driscoll, Morteza Jafarinia, Maha El Tantawi, Telma Zahirian Moghadam, Katarzyna Kissimova-Skarbek, Abdilahi Yousuf Yousuf, Dickson A. Amugsi, Awoke Misganaw, Maseer Khan, Norito Kawakami, Jingkai Wei, Jai K Das, Vishnu Renjith, Tessa M. Pilz, Sameer Vali Gopalani, Roghiyeh Faridnia, Islam Y. Elgendy, Prateek Rastogi, Lauren B. 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L., Department of Public Health, Clinicum, Department of Neurosciences, HUS Comprehensive Cancer Center, Environmental Sciences, Public Health, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), Sálfræðideild (HR), Department of Psychology (RU), Samfélagssvið (HR), School of Social Sciences (RU), Háskólinn í Reykjavík, Reykjavik University, GBD 2019 Diseases and Injuries Collaborator, Violante FS, Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation, and UT-I-ITC-ACQUAL
Subjects: Male, Life expectancy, Disability-Adjusted Life Year, Diseases, Disease, communicable disease, systematic analysis, Global Burden of Disease, 0302 clinical medicine, 80 and over, Medicine, 10. No inequality, Child, 11 Medical and Health Sciences, injuries, Aged, 80 and over, education.field_of_study, Sjúkdómar, DEMENTIA, FALLS, General Medicine, Forvarnir, 3. Good health, Child, Preschool, Human, GBD, Population health, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Humans, Global Burden of Disease Study, education, Aged, Spatial Analysis, Global burden, Disability, Prevention, DISABILITY, Infant, Spatial Analysi, Mortality rate, Global Burden of Disease, Diseases, Injuries, Systematic analysis, PREVENTION, Years of potential life lost, Risk factors, Disease study, ITC-ISI-JOURNAL-ARTICLE, RISK-FACTORS, Clinical Medicine, RA, Demography, Fötlun, Dánartíðni, Áhættuþættir, 030204 cardiovascular system & hematology, Risk Factors, Cause of Death, Global health, 030212 general & internal medicine, 1. No poverty, Disability-Adjusted Life Years, Public Health, Global Health, Social Medicine and Epidemiology, Middle Aged, 3142 Public health care science, environmental and occupational health, Adolescent, Adult, Age Distribution, Female, Infant, Newborn, Young Adult, Lýðheilsa, CLINICAL-TRIALS, Population, Settore MED/01 - Statistica Medica, diseases, ITC-HYBRID, Heilbrigðisvísindi, General & Internal Medicine, Mortality, Preschool, Disease burden, business.industry, Risk Factor, Klinisk medicin, Newborn, purl.org/pe-repo/ocde/ford#3.02.00 [https], Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Áverkar, Systematic analysis, NA, business
Abstract: Publisher's version (útgefin grein), Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd., Research reported in this publication was supported by the Bill & Melinda Gates Foundation; the University of Melbourne; Queensland Department of Health, Australia; the National Health and Medical Research Council, Australia; Public Health England; the Norwegian Institute of Public Health; St Jude Children's Research Hospital; the Cardiovascular Medical Research and Education Fund; the National Institute on Ageing of the National Institutes of Health (award P30AG047845); and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. The authors alone are responsible for the views expressed in this Article and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated, the National Health Service (NHS), the National Institute for Health Research (NIHR), the UK Department of Health and Social Care, or Public Health England; the United States Agency for International Development (USAID), the US Government, or MEASURE Evaluation; or the European Centre for Disease Prevention and Control (ECDC). This research used data from the Chile National Health Survey 2003, 2009-10, and 2016-17. The authors are grateful to the Ministry of Health, the survey copyright owner, for allowing them to have the database. All results of the study are those of the authors and in no way committed to the Ministry. The Costa Rican Longevity and Healthy Aging Study project is a longitudinal study by the University of Costa Rica's Centro Centroamericano de Poblacion and Instituto de Investigaciones en Salud, in collaboration with the University of California at Berkeley. The original pre-1945 cohort was funded by the Wellcome Trust (grant 072406), and the 1945-55 Retirement Cohort was funded by the US National Institute on Aging (grant R01AG031716). The principal investigators are Luis Rosero-Bixby and William H Dow and co-principal investigators are Xinia Fernandez and Gilbert Brenes. The accuracy of the authors' statistical analysis and the findings they report are not the responsibility of ECDC. ECDC is not responsible for conclusions or opinions drawn from the data provided. ECDC is not responsible for the correctness of the data and for data management, data merging and data collation after provision of the data. ECDC shall not be held liable for improper or incorrect use of the data. The Health Behaviour in School-Aged Children (HBSC) study is an international study carried out in collaboration with WHO/EURO. The international coordinator of the 1997-98, 2001-02, 2005-06, and 2009-10 surveys was Candace Currie and the databank manager for the 1997-98 survey was Bente Wold, whereas for the following surveys Oddrun Samdal was the databank manager. A list of principal investigators in each country can be found on the HBSC website. Data used in this paper come from the 2009-10 Ghana Socioeconomic Panel Study Survey, which is a nationally representative survey of more than 5000 households in Ghana. The survey is a joint effort undertaken by the Institute of Statistical, Social and Economic Research (ISSER) at the University of Ghana and the Economic Growth Centre (EGC) at Yale University. It was funded by EGC. ISSER and the EGC are not responsible for the estimations reported by the analysts. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with license number SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law, 2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data. Data for this research was provided by MEASURE Evaluation, funded by USAID. The authors thank the Russia Longitudinal Monitoring Survey, conducted by the National Research University Higher School of Economics and ZAO Demoscope together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology, Russia Academy of Sciences for making data available. This paper uses data from the Bhutan 2014 STEPS survey, implemented by the Ministry of Health with the support of WHO; the Kuwait 2006 and 2014 STEPS surveys, implemented by the Ministry of Health with the support of WHO; the Libya 2009 STEPS survey, implemented by the Secretariat of Health and Environment with the support of WHO; the Malawi 2009 STEPS survey, implemented by Ministry of Health with the support of WHO; and the Moldova 2013 STEPS survey, implemented by the Ministry of Health, the National Bureau of Statistics, and the National Center of Public Health with the support of WHO. This paper uses data from Survey of Health, Ageing and Retirement in Europe (SHARE) Waves 1 (DOI:10.6103/SHARE. w1.700), 2 (10.6103/SHARE.w2.700), 3 (10.6103/SHARE.w3.700), 4 (10.6103/SHARE.w4.700), 5 (10.6103/SHARE.w5.700), 6 (10.6103/SHARE.w6.700), and 7 (10.6103/SHARE.w7.700); see Borsch-Supan and colleagues (2013) for methodological details. The SHARE data collection has been funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), FP7 (SHARE-PREP: GA N degrees 211909, SHARE-LEAP: GA N degrees 227822, SHARE M4: GA N degrees 261982) and Horizon 2020 (SHARE-DEV3: GA N degrees 676536, SERISS: GA N degrees 654221) and by DG Employment, Social Affairs & Inclusion. Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the US National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C), and from various national funding sources is gratefully acknowledged. This study has been realised using the data collected by the Swiss Household Panel, which is based at the Swiss Centre of Expertise in the Social Sciences. The project is financed by the Swiss National Science Foundation. The United States Aging, Demographics, and Memory Study is a supplement to the Health and Retirement Study (HRS), which is sponsored by the National Institute of Aging (grant number NIA U01AG009740). It was conducted jointly by Duke University and the University of Michigan. The HRS is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan. This paper uses data from Add Health, a program project designed by J Richard Udry, Peter S Bearman, and Kathleen Mullan Harris, and funded by a grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 17 other agencies. Special acknowledgment is due to Ronald R Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website. No direct support was received from grant P01-HD31921 for this analysis. The data reported here have been supplied by the United States Renal Data System. The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy or interpretation of the US Government. Collection of data for the Mozambique National Survey on the Causes of Death 2007-08 was made possible by USAID under the terms of cooperative agreement GPO-A-00-08-000_D3-00. This manuscript is based on data collected and shared by the International Vaccine Institute (IVI) from an original study IVI conducted. L G Abreu acknowledges support from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (Brazil; finance code 001) and Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq, a Brazilian funding agency). I N Ackerman was supported by a Victorian Health and Medical Research Fellowship awarded by the Victorian Government. O O Adetokunboh acknowledges the South African Department of Science and Innovation and the National Research Foundation. A Agrawal acknowledges the Wellcome Trust DBT India Alliance Senior Fellowship. S M Aljunid acknowledges the Department of Health Policy and Management, Faculty of Public Health, Kuwait University and International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia for the approval and support to participate in this research project. M Ausloos, C Herteliu, and A Pana acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. A Badawi is supported by the Public Health Agency of Canada. D A Bennett was supported by the NIHR Oxford Biomedical Research Centre. R Bourne acknowledges the Brien Holden Vision Institute, University of Heidelberg, Sightsavers, Fred Hollows Foundation, and Thea Foundation. G B Britton and I Moreno Velasquez were supported by the Sistema Nacional de Investigacion, SNI-SENACYT, Panama. R Buchbinder was supported by an Australian National Health and Medical Research Council (NHMRC) Senior Principal Research Fellowship. J J Carrero was supported by the Swedish Research Council (2019-01059). F Carvalho acknowledges UID/MULTI/04378/2019 and UID/QUI/50006/2019 support with funding from FCT/MCTES through national funds. A R Chang was supported by National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases grant K23 DK106515. V M Costa acknowledges the grant SFRH/BHD/110001/2015, received by Portuguese national funds through Fundacao para a Ciencia e Tecnologia, IP, under the Norma Transitaria DL57/2016/CP1334/CT0006. A Douiri acknowledges support and funding from the National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care South London at King's College Hospital NHS Foundation Trust and the Royal College of Physicians, and support from the NIHR Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London. B B Duncan acknowledges grants from the Foundation for the Support of Research of the State of Rio Grande do Sul (IATS and PrInt) and the Brazilian Ministry of Health. H E Erskine is the recipient of an Australian NHMRC Early Career Fellowship grant (APP1137969). A J Ferrari was supported by a NHMRC Early Career Fellowship grant (APP1121516). H E Erskine and A J Ferrari are employed by and A M Mantilla-Herrera and D F Santomauro affiliated with the Queensland Centre for Mental Health Research, which receives core funding from the Queensland Department of Health. M L Ferreira holds an NHMRC Research Fellowship. C Flohr was supported by the NIHR Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust. M Freitas acknowledges financial support from the EU (European Regional Development Fund [FEDER] funds through COMPETE POCI-01-0145-FEDER-029248) and National Funds (Fundacao para a Ciencia e Tecnologia) through project PTDC/NAN-MAT/29248/2017. A L S Guimaraes acknowledges support from CNPq. C Herteliu was partially supported by a grant co-funded by FEDER through Operational Competitiveness Program (project ID P_40_382). P Hoogar acknowledges Centre for Bio Cultural Studies, Directorate of Research, Manipal Academy of Higher Education and Centre for Holistic Development and Research, Kalaghatagi. F N Hugo acknowledges the Visiting Professorship, PRINT Program, CAPES Foundation, Brazil. B-F Hwang was supported by China Medical University (CMU107-Z-04), Taichung, Taiwan. S M S Islam was funded by a National Heart Foundation Senior Research Fellowship and supported by Deakin University. R Q Ivers was supported by a research fellowship from the National Health and Medical Research Council of Australia. M Jakovljevic acknowledges the Serbian part of this GBD-related contribution was co-funded through Grant OI175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. P Jeemon was supported by a Clinical and Public Health intermediate fellowship (grant number IA/CPHI/14/1/501497) from the Wellcome Trust-Department of Biotechnology, India Alliance (2015-20). O John is a recipient of UIPA scholarship from University of New South Wales, Sydney. S V Katikireddi acknowledges funding from a NRS Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_12017/13, MC_UU_12017/15), and the Scottish Government Chief Scientist Office (SPHSU13, SPHSU15). C Kieling is a CNPq researcher and a UK Academy of Medical Sciences Newton Advanced Fellow. Y J Kim was supported by Research Management Office, Xiamen University Malaysia (XMUMRF/2018-C2/ITCM/00010). K Krishan is supported by UGC Centre of Advanced Study awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M Kumar was supported by K43 TW 010716 FIC/NIMH. B Lacey acknowledges support from the NIHR Oxford Biomedical Research Centre and the BHF Centre of Research Excellence, Oxford. J V Lazarus was supported by a Spanish Ministry of Science, Innovation and Universities Miguel Servet grant (Instituto de Salud Carlos III [ISCIII]/ESF, the EU [CP18/00074]). K J Looker thanks the NIHR Health Protection Research Unit in Evaluation of Interventions at the University of Bristol, in partnership with Public Health England, for research support. S Lorkowski was funded by the German Federal Ministry of Education and Research (nutriCARD, grant agreement number 01EA1808A). R A Lyons is supported by Health Data Research UK (HDR-9006), which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, NIHR (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome Trust. J J McGrath is supported by the Danish National Research Foundation (Niels Bohr Professorship), and the Queensland Health Department (via West Moreton HHS). P T N Memiah acknowledges support from CODESRIA. U O Mueller gratefully acknowledges funding by the German National Cohort Study BMBF grant number 01ER1801D. S Nomura acknowledges the Ministry of Education, Culture, Sports, Science, and Technology of Japan (18K10082). A Ortiz was supported by ISCIII PI19/00815, DTS18/00032, ISCIII-RETIC REDinREN RD016/0009 Fondos FEDER, FRIAT, Comunidad de Madrid B2017/BMD-3686 CIFRA2-CM. These funding sources had no role in the writing of the manuscript or the decision to submit it for publication. S B Patten was supported by the Cuthbertson & Fischer Chair in Pediatric Mental Health at the University of Calgary. G C Patton was supported by an aNHMRC Senior Principal Research Fellowship. M R Phillips was supported in part by the National Natural Science Foundation of China (NSFC, number 81371502 and 81761128031). A Raggi, D Sattin, and S Schiavolin were supported by grants from the Italian Ministry of Health (Ricerca Corrente, Fondazione Istituto Neurologico C Besta, Linea 4-Outcome Research: dagli Indicatori alle Raccomandazioni Cliniche). P Rathi and B Unnikrishnan acknowledge Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal. A L P Ribeiro was supported by Brazilian National Research Council, CNPq, and the Minas Gerais State Research Agency, FAPEMIG. D C Ribeiro was supported by The Sir Charles Hercus Health Research Fellowship (#18/111) Health Research Council of New Zealand. D Ribeiro acknowledges financial support from the EU (FEDER funds through the Operational Competitiveness Program; POCI-01-0145-FEDER-029253). P S Sachdev acknowledges funding from the NHMRC of Australia Program Grant. A M Samy was supported by a fellowship from the Egyptian Fulbright Mission Program. M M Santric-Milicevic acknowledges the Ministry of Education, Science and Technological Development of the Republic of Serbia (contract number 175087). R Sarmiento-Suarez received institutional support from Applied and Environmental Sciences University (Bogota, Colombia) and ISCIII (Madrid, Spain). A E Schutte received support from the South African National Research Foundation SARChI Initiative (GUN 86895) and Medical Research Council. S T S Skou is currently funded by a grant from Region Zealand (Exercise First) and a grant from the European Research Council under the EU's Horizon 2020 research and innovation program (grant agreement number 801790). J B Soriano is funded by Centro de Investigacion en Red de Enfermedades Respiratorias, ISCIII. R Tabares-Seisdedos was supported in part by the national grant PI17/00719 from ISCIII-FEDER. N Taveira was partially supported by the European & Developing Countries Clinical Trials Partnership, the EU (LIFE project, reference RIA2016MC-1615). S Tyrovolas was supported by the Foundation for Education and European Culture, the Sara Borrell postdoctoral programme (reference number CD15/00019 from ISCIII-FEDER). S B Zaman received a scholarship from the Australian Government research training programme in support of his academic career., "Peer Reviewed"
Published: 2020

115. 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. Ding, Narayanaswamy Venketasubramanian, Semaw Ferede Abera, Devina Nand, Odgerel Chimed-Ochir, George D Thurston, Victor Aboyans, Alanur Çavlin, Jefferson Traebert, Michael R. Phillips, Yingfeng Zheng, Baffour Awuah, Carlo Irwin A. Panelo, Selen Begüm Uzun, Muhammad Imran Nisar, Samir Soneji, Veena S. Kulkarni, Mukesh Dherani, Stephen S Lim, Andre Keren, Kingsley N. Ukwaja, Sajjad Ur Rahman, Giuseppe Remuzzi, Kjetil Søreide, Blake Thomson, Samath D Dharmaratne, Christopher D. Blosser, David H. Rothstein, Amanda G. Thrift, Fabrizio Tediosi, Andrew H. Kemp, H. Dean Hosgood, Yoshihiro Kokubo, Miia Kivipelto, Amitava Banerjee, Edgar P. Simard, Reza Malekzadeh, Maggie Lind, Robert P. Dellavalle, Emerito Jose A. Faraon, Lydia S. Atkins, Tom Achoki, Aslam Pervaiz, Peter Scarborough, Hans W. Hoek, Ettore Beghi, Emilie Agardh, Abraham D. Flaxman, Dariush Mozaffarian, Juan R. Sanabria, Muluken Dessalegn, David C. Schwebel, Caitlyn Steiner, Ubai Alsharif, Richard C. 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Silberberg, Alexandra Brazinova, Monica Cortinovis, Deena Alasfoor, Richard Matzopoulos, Jerry Abraham, Francesco Saverio Violante, Monika Sawhney, Dorairaj Prabhakaran, Valentina Colistro, Derek F J Fay, Mamta Swaroop, Nima Hafezi-Nejad, John Nelson Opio, Hanne Christensen, Jun She, Soewarta Kosen, Atsushi Goto, Costas A. Christophi, Jeyaraj D. Pandian, Peter J. Hotez, K. Srinath Reddy, Al Artaman, Peter Allebeck, Jonas Minet Kinge, Graham S Cooke, Dan J. Stein, Kawkab Shishani, Laith J. Abu-Raddad, Katrina F Ortblad, Deborah Jarvis, Arsène Kouablan Adou, Barthelemy Kuate Defo, Alan D. Lopez, G Anil Kumar, K.M. Venkat Narayan, Yong Zhao, Rajiv Chowdhury, Hadi Danawi, George C Patton, Vasiliy Victorovich Vlassov, André Karch, Tommi J. Vasankari, Matthias Endres, Ione Jayce Ceola Schneider, Nelson Alvis-Guzman, Charles N Mock, Katharine J Looker, Bach Xuan Tran, Fernando Perez-Ruiz, Harish Chander Gugnani, Reza Assadi, Hannah Hamavid, Rosario Cárdenas, Mohammed I. Albittar, Sarah Derrett, Mohammad Yahya Saeedi, Traolach S. Brugha, Jan Hendrik Richardus, Alireza Esteghamati, Seok Jun Yoon, Josep Maria Haro, Michael Brainin, Ziad A. Memish, Rupert R A Bourne, Katherine B Gibney, David M. Pereira, Kathryn H. Jacobsen, Luc E. Coffeng, Joshua A. Salomon, Xia Wan, Ian Bolliger, Boris I. Pavlin, Karen Sliwa, Tati S. Warouw, Geoffrey Buckle, Chakib Nejjari, Diego De Leo, Ashkan Afshin, Vinay Nangia, Daniel Pope, Johanna M. Geleijnse, Nikhil Tandon, Kelly Bienhoff, Jed D. Blore, Walid Ammar, D. Allen Roberts, Elisabete Weiderpass, Gregory A. Roth, Manami Inoue, James D. Wilkinson, Hideaki Toyoshima, Soufiane Boufous, Ivy Shiue, Edward J Mills, Leilei Duan, Matthew M Coates, Ganesan Karthikeyan, Alberto Ortiz, Steven van de Vijver, David Carpenter, Suzanne Lyn Barker-Collo, Antony Stevens, Sanjay Basu, Maria Cecilia Bahit, Kaire Innos, Lindsay N. Boyers, Nicholas J K Breitborde, Alize J. Ferrari, Timothy M. Wolock, Simerjot K. Jassal, Mohammad Ali Sahraian, Joanna Moschandreas, Howard J. Hoffman, Hideki Higashi, George M. Ruhago, Karzan Abdulmuhsin Mohammad, Mohammed Basulaiman, D. Alex Quistberg, Justin Beardsley, Marcello Tonelli, Maurice Giroud, Karen Edmond, Norito Kawakami, Mohammad T Mashal, Neeraj Bhala, Carl Abelardo T. Antonio, David Tanne, Abhishek Singh, Kazem Rahimi, Vivekanand Jha, Wagner Marcenes, David J. Margolis, Yara A. Halasa, Zewdie Aderaw Alemu, Carrie Beth Peterson, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Robyn M. Lucas, Sarah Wulf, Lars Jacob Stovner, Mohsen Naghavi, Vegard Skirbekk, Ulrich Otto Mueller, Pengpeng Ye, Ali H. Mokdad, Dipan Bose, Saleem M Rana, Jeffrey D Stanaway, Abigail Mclain, Timothy J. Steiner, Amira Shaheen, Stein Emil Vollset, Andrea Werdecker, Michele Meltzer, Richie G Poulton, Joseph R. Masci, Inga Dora Sigfusdottir, Daniel Dicker, Maysaa El Sayed Zaki, Shiwei Liu, Julio C. Montañez Hernandez, Valentina Arsić Arsenijević, William Msemburi, Lope H Barrero, Linhong Wang, Soumya Swaminathan, Harvey Whiteford, Michael F. Macintyre, Berrak Bora Basara, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Carolyn C. Gotay, Niveen M E Abu-Rmeileh, Nicholas J Kassebaum, Shams Eldin Ali Hassan Khalifa, Neil McGill, Murray, Christopher J. L, Barber, Ryan M., Foreman, Kyle J., Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Abera, Semaw F., Aboyans, Victor, Abraham, Jerry P., Abubakar, Ibrahim, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M., Achoki, Tom, Ackerman, Ilana N., Ademi, Zanfina, Adou, Arsène K., Adsuar, José C., Afshin, Ashkan, Agardh, Emilie E., Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I., Alegretti, Miguel A., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Alla, Françoi, Allebeck, Peter, Almazroa, Mohammad A., Alsharif, Ubai, Alvarez, Elena, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ameh, Emmanuel A., Amini, Heresh, Ammar, Walid, Anderson, H. Ro, Anderson, Benjamin O., Antonio, Carl Abelardo T., Anwari, Palwasha, Arnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Al, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Avila, Marco A., Awuah, Baffour, Bachman, Victoria F., Badawi, Alaa, Bahit, Maria C., Balakrishnan, Kalpana, Banerjee, Amitava, Barker-Collo, Suzanne L., Barquera, Simon, Barregard, Lar, Barrero, Lope H., Basu, Arindam, Basu, Sanjay, Basulaiman, Mohammed O., Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bekele, Tolesa, Bell, Michelle L., Benjet, Corina, Bennett, Derrick A., Bensenor, Isabela M., Benzian, Habib, Bernabé, Eduardo, Bertozzi-Villa, Amelia, Beyene, Tariku J., Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A., Bienhoff, Kelly, Bikbov, Bori, Biryukov, Stan, Blore, Jed D., Blosser, Christopher D., Blyth, Fiona M., Bohensky, Megan A., Bolliger, Ian W., Başara, Berrak Bora, Bornstein, Natan M., Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R. A., Boyers, Lindsay N., Brainin, Michael, Brayne, Carol E., Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Briggs, Adam D., Brooks, Peter M., Brown, Jonathan C., Brugha, Traolach S., Buchbinder, Rachelle, Buckle, Geoffrey C., Budke, Christine M., Bulchis, Anne, Bulloch, Andrew G., Campos-Nonato, Ismael R., Carabin, Hélène, Carapetis, Jonathan R., Cárdenas, Rosario, Carpenter, David O., Caso, Valeria, Castañeda-Orjuela, Carlos A., Castro, Ruben E., Catalá-López, Ferrán, Cavalleri, Fiorella, Çavlin, Alanur, Chadha, Vineet K., Chang, Jung-Chen, Charlson, Fiona J., Chen, Honglei, Chen, Wanqing, Chiang, Peggy P., Chimed-Ochir, Odgerel, Chowdhury, Rajiv, Christensen, Hanne, Christophi, Costas A., Cirillo, Massimo, Coates, Matthew M., Coffeng, Luc E., Coggeshall, Megan S., Colistro, Valentina, Colquhoun, Samantha M., Cooke, Graham S., Cooper, Cyru, Cooper, Leslie T., Coppola, Luis M., Cortinovis, Monica, Criqui, Michael H., Crump, John A., Cuevas-Nasu, Lucia, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dansereau, Emily, Dargan, Paul I., Davey, Gail, Davis, Adrian, Davitoiu, Dragos V., Dayama, Anand, De Leo, Diego, Degenhardt, Louisa, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Deribe, Kebede, Derrett, Sarah, Des Jarlais, Don C., Dessalegn, Muluken, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Dicker, Daniel, Ding, Eric L., Dokova, Klara, Dorsey, E Ray, Driscoll, Tim R., Duan, Leilei, Duber, Herbert C., Ebel, Beth E., Edmond, Karen M., Elshrek, Yousef M., Endres, Matthia, Ermakov, Sergey P., Erskine, Holly E., Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Faraon, Emerito Jose A., Farzadfar, Farshad, Fay, Derek F., Feigin, Valery L., Felson, David T., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Ferrari, Alize J., Fitzmaurice, Christina, Flaxman, Abraham D., Fleming, Thomas D., Foigt, Nataliya, Forouzanfar, Mohammad H., Fowkes, F Gerry R., Paleo, Urbano Fra., Franklin, Richard C., Fürst, Thoma, Gabbe, Belinda, Gaffikin, Lynne, Gankpé, Fortuné G., Geleijnse, Johanna M., Gessner, Bradford D., Gething, Peter, Gibney, Katherine B., Giroud, Maurice, Giussani, Giorgia, Dantes, Hector Gomez, Gona, Philimon, González-Medina, Diego, Gosselin, Richard A., Gotay, Carolyn C., Goto, Atsushi, Gouda, Hebe N., Graetz, Nichola, Gugnani, Harish C., Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A., Haagsma, Juanita, Hafezi-Nejad, Nima, Hagan, Holly, Halasa, Yara A., Hamadeh, Randah R., Hamavid, Hannah, Hammami, Mouhanad, Hancock, Jamie, Hankey, Graeme J., Hansen, Gillian M., Hao, Yuantao, Harb, Hilda L., Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I., Hay, Roderick J., Heredia-Pi, Ileana B., Heuton, Kyle R., Heydarpour, Pouria, Higashi, Hideki, Hijar, Martha, Hoek, Hans W., Hoffman, Howard J., Hosgood, H Dean, Hossain, Mazeda, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Hu, Guoqing, Huang, Cheng, Huang, John J., Husseini, Abdullatif, Huynh, Chantal, Iannarone, Marissa L., Iburg, Kim M., Innos, Kaire, Inoue, Manami, Islami, Farhad, Jacobsen, Kathryn H., Jarvis, Deborah L., Jassal, Simerjot K., Jee, Sun Ha, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jonas, Jost B., Juel, Knud, Kan, Haidong, Karch, André, Karema, Corine K., Karimkhani, Chante, Karthikeyan, Ganesan, Kassebaum, Nicholas J., Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kemp, Andrew H., Kengne, Andre P., Keren, Andre, Khader, Yousef S., Khalifa, Shams Eldin A., Khan, Ejaz A., Khan, Gulfaraz, Khang, Young-Ho, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kinfu, Yohanne, Kinge, Jonas M., Kivipelto, Miia, Knibbs, Luke D., Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kosen, Soewarta, Krishnaswami, Sanjay, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J., Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G Anil, Kyu, Hmwe H., Lai, Taavi, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C., Larsson, Ander, Lawrynowicz, Alicia E. B., Leasher, Janet L., Leigh, Jame, Leung, Ricky, Levitz, Carly E., Li, Bin, Li, Yichong, Li, Yongmei, Lim, Stephen S., Lind, Maggie, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., Lofgren, Katherine T., Logroscino, Giancarlo, Looker, Katharine J., Lortet-Tieulent, Joannie, Lotufo, Paulo A., Lozano, Rafael, Lucas, Robyn M., Lunevicius, Raimunda, Lyons, Ronan A., Ma, Stefan, Macintyre, Michael F., Mackay, Mark T., Majdan, Marek, Malekzadeh, Reza, Marcenes, Wagner, Margolis, David J., Margono, Christopher, Marzan, Melvin B., Masci, Joseph R., Mashal, Mohammad T., Matzopoulos, Richard, Mayosi, Bongani M., Mazorodze, Tasara T., Mcgill, Neil W., Mcgrath, John J., Mckee, Martin, Mclain, Abigail, Meaney, Peter A., Medina, Catalina, Mehndiratta, Man Mohan, Mekonnen, Wubegzier, Melaku, Yohannes A., Meltzer, Michele, Memish, Ziad A., Mensah, George A., Meretoja, Atte, Mhimbira, Francis A., Micha, Renata, Miller, Ted R., Mills, Edward J., Mitchell, Philip B., Mock, Charles N., Ibrahim, Norlinah Mohamed, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L. D., Monasta, Lorenzo, Hernandez, Julio C. Montañez, Montico, Marcella, Montine, Thomas J., Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moran, Andrew E., Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N., Moyer, Madeline L., Mozaffarian, Dariush, Msemburi, William T., Mueller, Ulrich O., Mukaigawara, Mitsuru, Mullany, Erin C., Murdoch, Michele E., Murray, Joseph, Murthy, Kinnari S., Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, K M. Venkat, Nejjari, Chakib, Neupane, Sudan P., Newton, Charles R., Ng, Marie, Ngalesoni, Frida N., Nguyen, Grant, Nisar, Muhammad I., Nolte, Sandra, Norheim, Ole F., Norman, Rosana E., Norrving, Bo, Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Ohno, Summer L., Olusanya, Bolajoko O., Opio, John Nelson, Ortblad, Katrina, Ortiz, Alberto, Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Papachristou, Christina, Park, Eun-Kee, Park, Jae-Hyun, Patten, Scott B., Patton, George C., Paul, Vinod K., Pavlin, Boris I., Pearce, Neil, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B., Petzold, Max, Phillips, Michael R., Phillips, Bryan K., Phillips, David E., Piel, Frédéric B., Plass, Dietrich, Poenaru, Dan, Polinder, Suzanne, Pope, Daniel, Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Noela M., Pullan, Rachel L., Qato, Dima M., Quistberg, D Alex, Rafay, Anwar, Rahimi, Kazem, Rahman, Sajjad U., Raju, Murugesan, Rana, Saleem M., Razavi, Homie, Reddy, K Srinath, Refaat, Amany, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L., Richardson, Lee, Richardus, Jan Hendrik, Roberts, D Allen, Rojas-Rueda, David, Ronfani, Luca, Roth, Gregory A., Rothenbacher, Dietrich, Rothstein, David H., Rowley, Jane T., Roy, Nobhojit, Ruhago, George M., Saeedi, Mohammad Y., Saha, Sukanta, Sahraian, Mohammad Ali, Sampson, Uchechukwu K. A., Sanabria, Juan R., Sandar, Logan, Santos, Itamar S., Satpathy, Maheswar, Sawhney, Monika, Scarborough, Peter, Schneider, Ione J., Schöttker, Ben, Schumacher, Austin E., Schwebel, David C., Scott, James G., Seedat, Soraya, Sepanlou, Sadaf G., Serina, Peter T., Servan-Mori, Edson E., Shackelford, Katya A., Shaheen, Amira, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shi, Peilin, Shibuya, Kenji, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A., Singh, Lavanya, Skirbekk, Vegard, Slepak, Erica Leigh, Sliwa, Karen, Soneji, Samir, Søreide, Kjetil, Soshnikov, Sergey, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Stein, Dan J., Stein, Murray B., Steiner, Caitlyn, Steiner, Timothy J., Stevens, Antony, Stewart, Andrea, Stovner, Lars J., Stroumpoulis, Konstantino, Sunguya, Bruno F., Swaminathan, Soumya, Swaroop, Mamta, Sykes, Bryan L., Tabb, Karen M., Takahashi, Ken, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Taylor, Hugh R., Te Ao, Braden J., Tediosi, Fabrizio, Temesgen, Awoke M., Templin, Tara, Ten Have, Margreet, Tenkorang, Eric Y., Terkawi, Abdullah S., Thomson, Blake, Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Tillmann, Taavi, Tonelli, Marcello, Topouzis, Foti, Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X., Trillini, Matia, Truelsen, Thoma, Tsilimbaris, Miltiadi, Tuzcu, Emin M., Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen B., Van Brakel, Wim H., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Vasankari, Tommi J., Venketasubramanian, N, Violante, Francesco S., Vlassov, Vasiliy V., Vollset, Stein Emil, Wagner, Gregory R., Wagner, Joseph, Waller, Stephen G., Wan, Xia, Wang, Haidong, Wang, Jianli, Wang, Linhong, Warouw, Tati S., Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Wenzhi, Wang, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A., Wilkinson, James D., Williams, Thomas N., Wolfe, Charles D., Wolock, Timothy M., Woolf, Anthony D., Wulf, Sarah, Wurtz, Brittany, Xu, Gelin, Yan, Lijing L., Yano, Yuichiro, Ye, Pengpeng, Yentür, Gökalp K., Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Zaki, Maysaa E., Zhao, Yong, Zheng, Yingfeng, Zonies, David, Zou, Xiaonong, Salomon, Joshua A., Lopez, Alan D., Vos, Theo, Medische Sociologie, MUMC+: Hersen en Zenuw Centrum (3), MUMC+: MA Psychiatrie (3), Psychiatrie & Neuropsychologie, Barber, Ryan M, Foreman, Kyle J, Abd Allah, Foad, Abera, Semaw F, Abraham, Jerry P, Abu Raddad, Laith J, Abu Rmeileh, Niveen M, Ackerman, Ilana N, Adou, Arsène K, Adsuar, José C, Agardh, Emilie E, Albittar, Mohammed I, Alegretti, Miguel A, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Almazroa, Mohammad A, Alvis Guzman, Nelson, Amare, Azmeraw T, Ameh, Emmanuel A, Anderson, Benjamin O, Antonio, Carl Abelardo T, Asghar, Rana J, Atkins, Lydia S, Avila, Marco A, Bachman, Victoria F, Bahit, Maria C, Barker Collo, Suzanne L, Barrero, Lope H, Basulaiman, Mohammed O, Bell, Michelle L, Bennett, Derrick A, Bensenor, Isabela M, Bertozzi Villa, Amelia, Beyene, Tariku J, Bhutta, Zulfiqar A, Blore, Jed D, Blosser, Christopher D, Blyth, Fiona M, Bohensky, Megan A, Bolliger, Ian W, Bornstein, Natan M, Bourne, Rupert R. 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. 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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

116. Monitoring of count data time series: Cumulative sum change detection in Poisson integer valued GARCH models

Author: Joseph J. Pignatiello, Rupert R Giroux, Eren Ozguven Erman, and O. Arda Vanli
Subjects: Heteroscedasticity, 021103 operations research, Series (mathematics), Autoregressive conditional heteroskedasticity, 0211 other engineering and technologies, CUSUM, 02 engineering and technology, Poisson distribution, 01 natural sciences, Industrial and Manufacturing Engineering, 010104 statistics & probability, symbols.namesake, Autoregressive model, Statistics, symbols, 0101 mathematics, Time series, Safety, Risk, Reliability and Quality, Mathematics, Count data
Abstract: This article presents a cumulative sum (CUSUM) monitoring approach for count-data time series. A seasonal integer-valued generalized autoregressive conditional heteroscedasticity (INGARCH(1,1)) time series model with Poisson deviates is used to develop ..
Published: 2018

117. Illness perceptions in people newly-diagnosed with glaucoma and ocular hypertension

Author: McDonald, Leanne, Boodhna, Trishal, Ajtony, Csilla, Turnbull, Paula, Bourne, Rupert R. A., and Crabb, David
Subjects: genetic structures, sense organs, eye diseases
Abstract: Background/aims: To determine whether self-reported illness perceptions in newly-diagnosed patients with primary open-angle glaucoma (POAG) and ocular hypertension (OHT) are more negative compared to peers who have lived with their diagnosis for more than two years.\ud Methods: A cross-sectional study of 58 newly-diagnosed patients with POAG and OHT recruited at their first clinic visit. Electronic patient records were used to identify similar patients (n=58, related by age and severity of visual field loss) who had their diagnosis for > 2 years. All participants completed the Brief Illness Perception Questionnaire (BIPQ), EQ5D general health measure and Type D Personality Scale (DS14).\ud Results: Average BIPQ scores were similar for people newly-diagnosed with POAG and POAG diagnosed > 2 years, and were no different to newly-diagnosed OHT and OHT diagnosed > 2 years POAG (p=0.46). An analysis correcting for personality type (DS14) and general health (EQ5D) indicated newly-diagnosed patients with POAG to have marginally better illness perceptions on individual BIPQ items quantifying impact on life in general, experience of symptoms and ‘understanding’ of their condition (all p2 years understood better their condition to be long-term (p2 years. Illness perception for people with manifest glaucoma and at risk of glaucoma (OHT) were similar; the latter might benefit from an intervention at diagnosis that highlights the better prognosis for OHT compared to POAG.
Published: 2019

118. Ocular coherence tomography‐measured changes over time in anterior chamber angle and diurnal intraocular pressure after laser iridotomy: IMPACT study

Author: Rupert R A Bourne, Shahina Pardhan, and Ivailo Zhekov
Subjects: Adult, Male, Laser surgery, Iridectomy, medicine.medical_specialty, Intraocular pressure, genetic structures, Anterior Chamber, medicine.medical_treatment, Gonioscopy, Iris, Scleral spur, Glaucoma, Impact study, Lasers, Solid-State, Anterior chamber angle, 03 medical and health sciences, 0302 clinical medicine, Laser iridotomy, Ophthalmology, Humans, Medicine, Prospective Studies, Intraocular Pressure, Aged, business.industry, Middle Aged, medicine.disease, Circadian Rhythm, Treatment Outcome, medicine.anatomical_structure, 030221 ophthalmology & optometry, Female, Laser Therapy, sense organs, Tomography, Glaucoma, Angle-Closure, business, Tomography, Optical Coherence, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Importance: The change in the anatomical dimensions over time and the effect on diurnal intraocular pressure following laser peripheral iridotomy is poorly understood. Background: To evaluate change over time in anterior chamber angle anatomy following laser peripheral iridotomy (LPI) in patients with primary angle closure compared to control eyes. Additionally, the effect of LPI on diurnal intraocular pressure (DIOP) fluctuation was investigated. Design: Longitudinal, prospective, double-randomised research study. Participants: Adults with suspected angle closure or angle closure diagnosis referred to hospital services in the United Kingdom. Methods: Thirty-nine patients newly diagnosed with bilateral primary angle closure/suspects (PAC/PACS) received LPI to one eye and changes in angle morphology were measured over 8 sections with swept source AS-OCT. The other eye acted as control with intraocular pressure (IOP) measured hourly. Main outcome measures: Angle opening distance (AOD), trabecular–iris angle (TIA), angle recess area (ARA), and trabecular–iris space area (TISA) at 500 m and 750 m from scleral spur Results: There was an increase in all angle parameters following LPI, which was maintained for 6 months (e.g inferotemporal segment AOD500 0.041mm (p=0.008) at 1 week and 0.039mm (p=0.003) at 6 months) following LPI. Greatest effect at 6 months post-LPI was observed opposite the iridotomy site in the inferior/inferotemporal sections (AOD500 0.039mm, p=0.003 and AOD750 0.075mm, p=0.002). There were no statistically significant differences for the overall DIOP fluctuation values in the treated group at 6 months post-LPI compared to baseline. Conclusions and Relevance: LPI widened all angle sections with maximum effect observed in the site opposite the iridotomy. Angle changes were maintained up to 6 months after LPI treatment without any statistically significant change in DIOP fluctuation.
Published: 2018

119. Pre vivo, ex vivo and in vivo evaluations of [ 68Ga]-EDTMP

Author: Mitterhauser, Markus, Toegel, Stefan, Wadsak, Wolfgang, Lanzenberger, Rupert R., Mien, Leonhard-Key, Kuntner, Claudia, Wanek, Thomas, Eidherr, Harald, Ettlinger, Dagmar E., Viernstein, Helmut, Kluger, Rainer, Dudczak, Robert, and Kletter, Kurt
Published: 2007
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120. The Prevalence and Causes of Vision Loss in Indigenous and Non-Indigenous Australians

Author: Jing Xie, Peter van Wijngaarden, Joshua Foreman, Stuart Keel, Hugh R. Taylor, Mohamed Dirani, Jonathan G Crowston, Ghee Soon Ang, Jennifer C Fan Gaskin, Rupert R A Bourne, and Sukhpal S Sandhu
Subjects: Response rate (survey), education.field_of_study, Refractive error, Visual acuity, genetic structures, business.industry, Cross-sectional study, Population, Odds ratio, medicine.disease, eye diseases, Indigenous, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Health care, 030221 ophthalmology & optometry, medicine, Optometry, 030212 general & internal medicine, medicine.symptom, education, business, Demography
Abstract: Purpose: To conduct a nationwide survey on the prevalence and causes of vision impairment and blindness in Indigenous and non-Indigenous Australians. \ud Design: Nationwide, cross-sectional, population-based field survey. Participants: Indigenous Australians aged 40 years or older and non-Indigenous Australians aged 50 years or more randomly sampled from all levels of geographic remoteness in Australia. \ud Methods: Multistage random-cluster sampling was used to select 3098 non-Indigenous Australians and 1738 Indigenous Australians from 30 sites across 5 remoteness strata with a response rate of 71.5%. Sociodemographic and health data were collected using an interviewer-administered questionnaire. Trained examiners conducted standardized eye examinations, including visual acuity, perimetry, slit-lamp examination, intraocular pressure, and fundus photography. The prevalence and main causes of bilateral presenting vision loss (visual acuity worse than 6/12 in the better eye) were determined, and risk factor analysis was conducted. \ud Main Outcome Measures: The prevalence and main causes of vision impairment and blindness. \ud Results: The overall prevalence of vision loss in Australia was 6.6% (95% confidence interval [CI], 5.4e7.8). The prevalence of vision loss was 11.2% (95% CI, 9.5e13.1) in Indigenous Australians and 6.5% (95% CI, 5.3e7.9) in non-Indigenous Australians. Vision loss was 2.8 times more prevalent in Indigenous Australians than in non-Indigenous Australians after age and gender adjustment (17.7%, 95% CI, 14.5e21.0 vs. 6.4%, 95% CI, 5.2e7.6, P < 0.001). In non-Indigenous Australians, the leading causes of vision loss were uncorrected refractive error (61.3%), cataract (13.2%), and age-related macular degeneration (10.3%). In Indigenous Australians, the leading causes of vision loss were uncorrected refractive error (60.8%), cataract (20.1%), and diabetic retinopathy (5.2%). In non-Indigenous Australians, increasing age (odds ratio [OR], 1.72 per decade; 95% CI, 1.40e2.10) and having not had an eye examination within the past year (OR, 1.61; 95% CI, 1.06e2.42) were risk factors for vision loss. Risk factors in Indigenous Australians included older age (OR, 1.61 per decade; 95% CI, 1.34e1.95), remoteness (OR, 2.02; 95% CI, 1.23e3.31), gender (OR, 0.60 for men; 95% CI, 0.42e0.84), and diabetes in combination with never having had an eye examination (OR, 14.47; 95% CI, 5.65e37.05). \ud Conclusions: Vision loss is more prevalent in Indigenous Australians than in non-Indigenous Australians, highlighting that improvements in eye healthcare in Indigenous communities are required. The leading causes of vision loss were uncorrected refractive error and cataract, which are readily treatable. Other countries with Indigenous communities may benefit from conducting similar surveys of Indigenous and non-Indigenous populations.
Published: 2017

121. Relationship Between Patterns of Visual Field Loss and Retinal Nerve Fiber Layer Thickness Measurements

Author: Hoffmann, Esther M., Medeiros, Felipe A., Sample, Pamela A., Boden, Catherine, Bowd, Christopher, Bourne, Rupert R., Zangwill, Linda M., and Weinreb, Robert N.
Published: 2006
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122. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Biadgilign, Sibhatu, Bicer, Burcu Kucuk, Bienhoff, Kelly, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Blyth, Fiona M, Boneya, Dube Jara, Bose, Dipan, Bou-Orm, Ibrahim R, Bourne, Rupert R A, Brainin, Michael, Brayne, Carol, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul S, Britton, Gabrielle, Brugha, Traolach S, Buchbinder, Rachelle, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campos-Nonato, Ismael Ricardo, Carabin, Hélène, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesus, Carter, Austin, Carvalho, Felix, Casey, Daniel, Castañeda-Orjuela, Carlos A, Castle, Chris D, Catalá-López, Ferrán, Chang, Jung-Chen, Charlson, Fiona J, Chaturvedi, Pankaj, Chen, Honglei, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Chowdhury, Rajiv, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Colombara, Danny, Cooper, Leslie Trumbull, Cooper, Cyrus, Cortesi, Paolo Angelo, Cortinovis, Monica, Criqui, Michael H, Cromwell, Elizabeth A, Cross, Marita, Crump, John A, Dadi, Abel Fekadu, Dalal, Koustuv, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, das Neves, José, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, De Leo, Diego, De Steur, Hans, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dey, Subhojit, Dharmaratne, Samath D, Dhillon, Preet K, Dicker, Daniel, Djalainia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Dorsey, E Ray, dos Santos, Kadine Priscila Bender, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Ebel, Beth E, Echko, Michelle, El-Khatib, Ziad Ziad, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshetie, Setegn, Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Farag, Tamer, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Foreman, Kyle J, Franklin, Richard C, Frostad, Joseph J, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Futran, Neal D, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Geleijnse, Johanna M, Geleto, Ayele, Gemechu, Bikila Lencha, Gesesew, Hailay Abrha, Gething, Peter W, Ghajar, Alireza, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim Abdelmageem Mohamed, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W, Goel, Kashish, Goenka, Shifalika, Goldberg, Ellen M, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Gosselin, Richard A, Gotay, Carolyn C, Goto, Atsushi, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gupta, Rahul, Gutiérrez, Reyna A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hammami, Mouhanad, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Haro, Josep Maria, Harun, Kimani M, Harvey, James, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Simon I, Hay, Roderick J, Hedayati, Mohammad T, Hendrie, Delia, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Heydarpour, Pouria, Hoek, Hans W, Hoffman, Howard J, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Huynh, Chantal, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ikeda, Chad, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, James, Peter, Jassal, Simerjot K, Javanbakht, Mehdi, Jayaraman, Sudha P, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Guohong, John, Denny, Johnson, Catherine O, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Kar, Chittaranjan, Karam, Nadim E, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M, Karimkhani, Chante, Kasaeian, Amir, Kassa, Getachew Mullu, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah T, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kotsakis, Georgios A, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J, Kumar, G Anil, Kumar, Pushpendra, Kyu, Hmwe H, Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C, Larsson, Anders, Leasher, Janet L, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Liu, Patrick Y, Liu, Angela, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Looker, Katharine J, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Timothy C D, Lunevicius, Raimundas, Lyons, Ronan A, Macarayan, Erlyn Rachelle King, Maddison, Emilie R, Magdy Abd El Razek, Hassan Magdy Abd, Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A, Manguerra, Helena, Manhertz, Treh, Mantovani, Lorenzo G, Mapoma, Chabila C, March, Lyn M, Marczak, Laurie B, Martinez-Raga, Jose, Martins, Paulo Henrique Viegas, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Mathur, Manu Raj, Mazidi, Mohsen, McAlinden, Colm, McGaughey, Madeline, McGrath, John J, McKee, Martin, Mehata, Suresh, Meier, Toni, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Mensah, George A, Meretoja, Tuomo J, Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mitchell, Philip B, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Muktar Sano Kedir, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B V, Mokdad, Ali H, Mollenkopf, Sarah K, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Mori, Rintaro, Morrison, Shane D, Moses, Mark, Mountjoy-Venning, Cliff, Mruts, Kalayu Birhane, Mueller, Ulrich O, Muller, Kate, Murdoch, Michele E, Murray, Christopher J L, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Srinivas, Musa, Kamarul Imran, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S, Nangia, Vinay, Nasher, Jamal T, Natarajan, Gopalakrishnan, Negasa, Dumessa Edessa, Negoi, Ruxandra Irina, Negoi, Ionut, Newton, Charles R, Ngunjiri, Josephine Wanjiku, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Nguyen, Minh, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nong, Vuong Minh, Norheim, Ole F, Norrving, Bo, Noubiap, Jean Jacques N, Nyandwi, Alypio, Obermeyer, Carla Makhlouf, O'Donnell, Martin J, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olsen, Helen E, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osborne, Richard H, Osgood-Zimmerman, Aaron, Osman, Majdi, Ota, Erika, Owolabi, Mayowa O, PA, Mahesh, Pacella, Rosana E, Panda, Basant Kumar, Pandian, Jeyaraj Durai, Papachristou, Christina, Park, Eun-Kee, Parry, Charles D, Parsaeian, Mahboubeh, Patil, Snehal T, Patten, Scott B, Patton, George C, Paudel, Deepak, Paulson, Katherine, Pearce, Neil, Pereira, David M, Perez, Krystle Marie, Perico, Norberto, Pesudovs, Konrad, Peterson, Carrie Beth, Petri, William Arthur, Petzold, Max, Phillips, Michael Robert, Phipps, Geoffrey, Pigott, David M, Pillay, Julian David, Pinho, Christine, Piradov, Michael A, Plass, Dietrich, Pletcher, Martin A, Popova, Svetlana, Poulton, Richie G, Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Narayan, Purcell, Carrie, Purwar, Manorama, Qorbani, Mostafa, Quintanilla, 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Mari, Sobaih, Badr H A, Sobngwi, Eugene, Soljak, Michael, Sorensen, Reed J D, Sousa, Tatiane Cristina Moraes, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Stovner, Lars Jacob, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Sunguya, Bruno F, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Sylte, Dillon, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Taffere, Getachew Redae, Takala, Jukka S, Tandon, Nikhil, Tanne, David, Tarekegn, Yihunie L, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Terkawi, Abdullah Sulieman, Tesfaye, Dawit Jember, Tesssema, Belay, Thakur, JS, Thamsuwan, Ornwipa, Theadom, Alice M, Theis, Andrew M, Thomas, Katie E, Thomas, Nihal, Thompson, Robert, Thrift, Amanda G, Tobe-Gai, Ruoyan, Tobollik, Myriam, Tonelli, Marcello, Topor-Madry, Roman, Tortajada, Miguel, Touvier, Mathilde, Traebert, Jefferson, Tran, Bach Xuan, Troeger, Christopher, Truelsen, Thomas, Tsoi, Derrick, Tuzcu, Emin Murat, Tymeson, Hayley, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Undurraga, Eduardo A, Uneke, Chigozie Jesse, Updike, Rachel, Uthman, Olalekan A, Uzochukwu, Benjamin S Chudi, van Boven, Job F M, Varughese, Santosh, Vasankari, Tommi, Veerman, Lennert J, Venkatesh, S, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Vijayakumar, Lakshmi, Violante, Francesco S, Vishnu, Abhishek, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wadilo, Fiseha, Wakayo, Tolassa, Wallin, Mitchell T, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wijeratne, Tissa, Williams, Hywel C, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Woodbrook, Rachel, Woolf, Anthony D, Workicho, Abdulhalik, Xavier, Denis, Xu, Gelin, Yadgir, Simon, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Ye, Pengpeng, Yihdego, Mahari Gidey, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zhang, Xueying, Zheng, Yingfeng, Zhou, Maigeng, Zipkin, Ben, Zodpey, Sanjay, Zoeckler, Leo, Zuhlke, Liesl Joanna, Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, Cell biology, Hematology, Neurology, Simon, I, Hay, Amanuel, Alemu, Abajobir, Kalkidan, Hassen, Abate, Cristiana, Abbafati, Kaja, M, Abbas, Foad, Abd Allah, Abdishakur, M, Abdulle, Teshome, Abuka, Abebo, Semaw, Ferede, Abera, Victor, Aboyan, Laith, J, Abu, Raddad, Ilana, N, Ackerman, Isaac, A, Adedeji, Olatunji, Adetokunboh, Ashkan, Afshin, Rakesh, Aggarwal, Sutapa, Agrawal, Anurag, Agrawal, Aliasghar, Ahmad, Kiadaliri, Muktar, Beshir, Ahmed, Amani, Nidhal, Aichour, Ibtihel, Aichour, Miloud, Taki, Eddine, Aichour, Sneha, Aiyar, Tomi, F, Akinyemiju, Nadia, Akseer, Faris, Hasan, Al, Lami, Fares, Alahdab, Ziyad, Al Aly, Khurshid, Alam, Noore, Alam, Tahiya, Alam, Deena, Alasfoor, Kefyalew, Addi, Alene, Raghib, Ali, Reza, Alizadeh Navaei, Juma, M, Alkaabi, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Fatma, Al Maskari, Mohammad, Abdulaziz, Almazroa, Rajaa, Al Raddadi, Ubai, Alsharif, Shirina, Alsowaidi, Benjamin, M, Althouse, Khalid, A, Altirkawi, Nelson, Alvis Guzman, Azmeraw, T, Amare, Erfan, Amini, Walid, Ammar, Yaw, Ampem, Amoako, Mustafa, Geleto, Ansha, Carl, Abelardo, T, Antonio, Palwasha, Anwari, Johan, Ärnlöv, Megha, Arora, Al, Artaman, Krishna, Kumar, Aryal, Solomon, W, Asgedom, Tesfay, Mehari, Atey, Niguse, Tadele, Atnafu, Leticia, Avila Burgo, Euripide, Frinel, G, Arthur, Avokpaho, Ashish, Awasthi, Shally, Awasthi, Beatriz, Paulina, Ayala, 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Chibueze, C, Chisumpa, V, Chitheer, A, Chowdhury, R, Christopher, D, Ciobanu, L, Cirillo, M, Colombara, D, Cooper, L, Cooper, C, Cortesi, P, Cortinovis, M, Criqui, M, Cromwell, E, Cross, M, Crump, J, Dadi, A, Dalal, K, Damasceno, A, Dandona, L, Dandona, R, das Neves, J, Davitoiu, D, Davletov, K, de Courten, B, De Leo, D, De Steur, H, Defo, B, Degenhardt, L, Deiparine, S, Dellavalle, R, Deribe, K, Deribew, A, Des Jarlais, D, Dey, S, Dharmaratne, S, Dhillon, P, Dicker, D, Djalainia, S, Do, H, Dokova, K, Doku, D, Dorsey, E, dos Santos, K, Driscoll, T, Dubey, M, Duncan, B, Ebel, B, Echko, M, El-Khatib, Z, Enayati, A, Endries, A, Ermakov, S, Erskine, H, Eshetie, S, Eshrati, B, Esteghamati, A, Estep, K, Fanuel, F, Farag, T, Farinha, C, Faro, A, Farzadfar, F, Fazeli, M, Feigin, V, Feigl, A, Fereshtehnejad, S, Fernandes, J, Ferrari, A, Feyissa, T, Filip, I, Fischer, F, Fitzmaurice, C, Flaxman, A, Foigt, N, Foreman, K, Franklin, R, Frostad, J, Fullman, N, Fürst, T, Furtado, J, Futran, N, Gakidou, E, Garcia-Basteiro, A, Gebre, T, Gebregergs, G, Gebrehiwot, T, Geleijnse, J, Geleto, A, Gemechu, B, Gesesew, H, Gething, P, Ghajar, A, Gibney, K, Gillum, R, Ginawi, I, Gishu, M, Giussani, G, Godwin, W, Goel, K, Goenka, S, Goldberg, E, Gona, P, Goodridge, A, Gopalani, S, Gosselin, R, Gotay, C, Goto, A, Goulart, A, Graetz, N, Gugnani, H, Gupta, P, Gupta, R, Gupta, T, Gupta, V, Gutiérrez, R, Hachinski, V, Hafezi-Nejad, N, Hailu, A, Hailu, G, Hamadeh, R, Hamidi, S, Hammami, M, Handal, A, Hankey, G, Hao, Y, Harb, H, Hareri, H, Haro, J, Harun, K, Harvey, J, Hassanvand, M, Havmoeller, R, Hay, S, Hay, R, Hedayati, M, Hendrie, D, Henry, N, Heredia-Pi, I, Heydarpour, P, Hoek, H, Hoffman, H, Horino, M, Horita, N, Hosgood, H, Hostiuc, S, Hotez, P, Hoy, D, Htet, A, Hu, G, Huang, J, Huynh, C, Iburg, K, Igumbor, E, Ikeda, C, Irvine, C, Islam, S, Jacobsen, K, Jahanmehr, N, Jakovljevic, M, James, P, Jassal, S, Javanbakht, M, Jayaraman, S, Jeemon, P, Jensen, P, Jha, V, Jiang, G, John, D, Johnson, C, Johnson, S, Jonas, J, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kamal, R, Kar, C, Karam, N, Karch, A, Karema, C, Karimi, S, Karimkhani, C, Kasaeian, A, Kassa, G, Kassaw, N, Kassebaum, N, Kastor, A, Katikireddi, S, Kaul, A, Kawakami, N, Keiyoro, P, Kemmer, L, Kengne, A, Keren, A, Kesavachandran, C, Khader, Y, Khalil, I, Khan, E, Khang, Y, Khoja, A, Khosravi, A, Khubchandani, J, Kiadaliri, A, Kieling, C, Kim, Y, Kim, D, Kimokoti, R, Kinfu, Y, Kisa, A, Kissimova-Skarbek, K, Kissoon, N, Kivimaki, M, Knudsen, A, Kokubo, Y, Kolte, D, Kopec, J, Kosen, S, Kotsakis, G, Koul, P, Koyanagi, A, Kravchenko, M, Krohn, K, Kumar, G, Kumar, P, Kyu, H, Lager, A, Lal, D, Lalloo, R, Lallukka, T, Lambert, N, Lan, Q, Lansingh, V, Larsson, A, Leasher, J, Lee, P, Leigh, J, Leshargie, C, Leung, J, Leung, R, Levi, M, Li, Y, Liang, X, Liben, M, Lim, S, Linn, S, Liu, P, Liu, A, Liu, S, Liu, Y, Lodha, R, Logroscino, G, Looker, K, Lopez, A, Lorkowski, S, Lotufo, P, Lozano, R, Lucas, T, Lunevicius, R, Lyons, R, Macarayan, E, Maddison, E, Magdy Abd El Razek, H, Magdy Abd El Razek, M, Magis-Rodriguez, C, Mahdavi, M, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malhotra, R, Malta, D, Mamun, A, Manguerra, H, Manhertz, T, Mantovani, L, Mapoma, C, March, L, Marczak, L, Martinez-Raga, J, Martins, P, Martins-Melo, F, Martopullo, I, März, W, Mathur, M, Mazidi, M, Mcalinden, C, Mcgaughey, M, Mcgrath, J, Mckee, M, Mehata, S, Meier, T, Meles, K, Memiah, P, Memish, Z, Mendoza, W, Mengesha, M, Mengistie, M, Mengistu, D, Mensah, G, Meretoja, T, Meretoja, A, Mezgebe, H, Micha, R, Millear, A, Miller, T, Minnig, S, Mirarefin, M, Mirrakhimov, E, Misganaw, A, Mishra, S, Mitchell, P, Mohammad, K, Mohammadi, A, Mohammed, M, Mohammed, K, Mohammed, S, Mohan, M, Mokdad, A, Mollenkopf, S, Monasta, L, Montañez Hernandez, J, Montico, M, Moradi-Lakeh, M, Moraga, P, Morawska, L, Mori, R, Morrison, S, Moses, M, Mountjoy-Venning, C, Mruts, K, Mueller, U, Muller, K, Murdoch, M, Murray, C, Murthy, G, Murthy, S, Musa, K, Nachega, J, Nagel, G, Naghavi, M, Naheed, A, Naidoo, K, Nangia, V, Nasher, J, Natarajan, G, Negasa, D, Negoi, R, Negoi, I, Newton, C, Ngunjiri, J, Nguyen, C, Nguyen, Q, Nguyen, T, Nguyen, G, Nguyen, M, Nichols, E, Ningrum, D, Nong, V, Norheim, O, Norrving, B, Noubiap, J, Nyandwi, A, Obermeyer, C, O'Donnell, M, Ogbo, F, Oh, I, Okoro, A, Oladimeji, O, Olagunju, A, Olagunju, T, Olsen, H, Olusanya, B, Olusanya, J, Ong, K, Opio, J, Oren, E, Ortiz, A, Osborne, R, Osgood-Zimmerman, A, Osman, M, Ota, E, Owolabi, M, Pa, M, Pacella, R, Panda, B, Pandian, J, Papachristou, C, Park, E, Parry, C, Parsaeian, M, Patil, S, Patten, S, Patton, G, Paudel, D, Paulson, K, Pearce, N, Pereira, D, Perez, K, Perico, N, Pesudovs, K, Peterson, C, Petri, W, Petzold, M, Phillips, M, Phipps, G, Pigott, D, Pillay, J, Pinho, C, Piradov, M, Plass, D, Pletcher, M, Popova, S, Poulton, R, Pourmalek, F, Prabhakaran, D, Prasad, N, Purcell, C, Purwar, M, Qorbani, M, Quintanilla, B, Rabiee, R, Radfar, A, Rafay, A, Rahimi, K, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rai, R, Rajsic, S, Ram, U, Ranabhat, C, Rangaswamy, T, Rankin, Z, Rao, P, Rawaf, S, Ray, S, Reiner, R, Reinig, N, Reitsma, M, Remuzzi, G, Renzaho, A, Resnikoff, S, Rezaei, S, Ribeiro, A, Rivas, J, Roba, H, Robinson, S, Rojas-Rueda, D, Rokni, M, Ronfani, L, Roshandel, G, Roth, G, Rothenbacher, D, Roy, A, Rubagotti, E, Ruhago, G, Saadat, S, Safdarian, M, Safiri, S, Sagar, R, Sahathevan, R, Sahraian, M, Salama, J, Saleh, M, Salomon, J, Salvi, S, Samy, A, Sanabria, J, Sanchez-Niño, M, Santomauro, D, Santos, J, Santos, I, Santric Milicevic, M, Sartorius, B, Satpathy, M, Sawhney, M, Saxena, S, Schelonka, K, Schmidt, M, Schneider, I, Schöttker, B, Schutte, A, Schwebel, D, Schwendicke, F, Seedat, S, Sepanlou, S, Servan-Mori, E, Shaheen, A, Shaikh, M, Shamsipour, M, Sharma, R, Sharma, J, She, J, Shi, P, Shibuya, K, Shields, C, Shifa, G, Shiferaw, M, Shigematsu, M, Shiri, R, Shirkoohi, R, Shirude, S, Shishani, K, Shoman, H, Siabani, S, Sibai, A, Sigfusdottir, I, Silberberg, D, Silva, D, Silva, J, Silveira, D, Singh, J, Singh, O, Singh, N, Singh, V, Sinha, D, Skiadaresi, E, Slepak, E, Smith, D, Smith, M, Sobaih, B, Sobngwi, E, Soljak, M, Sorensen, R, Sousa, T, Sposato, L, Sreeramareddy, C, Srinivasan, V, Stanaway, J, Stathopoulou, V, Steel, N, Stein, D, Steiner, C, Steinke, S, Stokes, M, Stovner, L, Strub, B, Subart, M, Sufiyan, M, Sunguya, B, Sur, P, Swaminathan, S, Sykes, B, Sylte, D, Szoeke, C, Tabarés-Seisdedos, R, Tadakamadla, S, Taffere, G, Takala, J, Tandon, N, Tanne, D, Tarekegn, Y, Tavakkoli, M, Taveira, N, Taylor, H, Tegegne, T, Tehrani-Banihashemi, A, Tekelab, T, Terkawi, A, Tesfaye, D, Tesssema, B, Thakur, J, Thamsuwan, O, Theadom, A, Theis, A, Thomas, K, Thomas, N, Thompson, R, Thrift, A, Tobe-Gai, R, Tobollik, M, Tonelli, M, Topor-Madry, R, Tortajada, M, Touvier, M, Traebert, J, Tran, B, Troeger, C, Truelsen, T, Tsoi, D, Tuzcu, E, Tymeson, H, Tyrovolas, S, Ukwaja, K, Undurraga, E, Uneke, C, Updike, R, Uthman, O, Uzochukwu, B, van Boven, J, Varughese, S, Vasankari, T, Veerman, L, Venkatesh, S, Venketasubramanian, N, Vidavalur, R, Vijayakumar, L, Violante, F, Vishnu, A, Vladimirov, S, Vlassov, V, Vollset, S, Vos, T, Wadilo, F, Wakayo, T, Wallin, M, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, R, Weiss, D, Werdecker, A, Westerman, R, Whiteford, H, Wijeratne, T, Williams, H, Wiysonge, C, Woldeyes, B, Wolfe, C, Woodbrook, R, Woolf, A, Workicho, A, Xavier, D, Xu, G, Yadgir, S, Yaghoubi, M, Yakob, B, Yan, L, Yano, Y, Ye, P, Yihdego, M, Yimam, H, Yip, P, Yonemoto, N, Yoon, S, Yotebieng, M, Younis, M, Yu, C, Zaidi, Z, Zaki, M, Zegeye, E, Zenebe, Z, Zhang, X, Zheng, Y, Zhou, M, Zipkin, B, Zodpey, S, Zoeckler, L, Zuhlke, L, Brayne, Carol [0000-0001-5307-663X], Chowdhury, Rajiv [0000-0003-4881-5690], and Apollo - University of Cambridge Repository
Subjects: Male, Dánarmein, AUSTRALIA, GBD, disability-adjusted life-years (DALYs), Heilsufar, Lífslíkur, Epidemiology, Life expectancy, Diseases, Global Health, THERAPY, Global Burden of Disease, Residence Characteristics, Fullorðnir, Cause of Death, Medicine and Health Sciences, Psychology, Konur, Aged, 80 and over, Tölfræði, PLASMODIUM-FALCIPARUM, Aldraðir, Sjúkdómar, Medicine (all), Fatlaðir, Men, Þjóðir, 11 Medical And Health Sciences, ASSOCIATION, Middle Aged, Health policy, PREVALENCE, Sálfræði, disability-adjusted life-years (DALYs), Female, Lýðheilsa, Quality-Adjusted Life Years, Life Sciences & Biomedicine, Global Health Metrics, Adult, AFRICA, Quality of life, People with disabilities, GBD, WEIGHTS, Social ecology, Lífsgæði, Communicable Diseases, World health/statistics, Age Distribution, Life Expectancy, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Heilbrigðisstefna, Humans, Adults, Disabled Persons, Women, Sex Distribution, Mortality, Noncommunicable Diseases, Aged, Science & Technology, Faraldsfræði, MORTALITY, Wounds and injuries, EPIDEMIOLOGIC TRANSITION, HIV, Áverkar, Karlar, Wounds and Injuries, Félagshagfræði, Older people
Abstract: Correction in: LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017, Background Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI). Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate. Findings The highest globally observed HALE at birth for both women and men was in Singapore, at 75.2 years (95% uncertainty interval 71.9-78.6) for females and 72.0 years (68.8-75.1) for males. The lowest for females was in the Central African Republic (45.6 years [42.0-49.5]) and for males was in Lesotho (41.5 years [39.0-44.0]). From 1990 to 2016, global HALE increased by an average of 6.24 years (5.97-6.48) for both sexes combined. Global HALE increased by 6.04 years (5.74-6.27) for males and 6.49 years (6.08-6.77) for females, whereas HALE at age 65 years increased by 1.78 years (1.61-1.93) for males and 1.96 years (1.69-2.13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2.3% [-5.9 to 0.9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16.1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally. Interpretation At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support., Bill & Melinda Gates Foundation
Published: 2017

123. Estimating the global cost of vision impairment and its major causes: protocol for a systematic review

Author: Marques, Ana Patricia, primary, Ramke, Jacqueline, additional, Cairns, John, additional, Butt, Thomas, additional, Zhang, Justine H, additional, Faal, Hannah B, additional, Taylor, Hugh, additional, Jones, Iain, additional, Congdon, Nathan, additional, Bastawrous, Andrew, additional, Braithwaite, Tasanee, additional, Jovic, Marty, additional, Resnikoff, Serge, additional, Nandakumar, Allyala, additional, Khaw, Peng Tee, additional, Bourne, Rupert R A, additional, Gordon, Iris, additional, Frick, Kevin, additional, and Burton, Matthew J, additional
Published: 2020
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124. Weekly Versus Tri-Weekly Paclitaxel and Carboplatin in Combination with Cetuximab in Recurrent/Metastatic Head and Neck Cancer Patients: a Toxicity Analysis

Author: Geraghty, L., primary, Hoffman, S., additional, Schultz, T., additional, Porter, K., additional, Issa, M., additional, Rupert, R., additional, Bhateja, P., additional, Old, M., additional, Rocco, J.W., additional, Blakaj, D.M., additional, and Bonomi, M., additional
Published: 2020
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125. Evaluation of altered environmental conditions as a decontamination approach for nonspore‐forming biological agents

Author: Richter, W.R., primary, Sunderman, M.M., additional, Wendling, M.Q.S., additional, Serre, S., additional, Mickelsen, L., additional, Rupert, R., additional, Wood, J., additional, Choi, Y., additional, Willenberg, Z., additional, and Calfee, M.W., additional
Published: 2019
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126. Announcing The Lancet Global Health Commission on Global Eye Health

Author: Burton, Matthew J, primary, Faal, Hannah B, additional, Ramke, Jacqueline, additional, Ravilla, Thulasiraj, additional, Holland, Peter, additional, Wang, Ningli, additional, West, Sheila K, additional, Bourne, Rupert R A, additional, Congdon, Nathan G, additional, and Foster, Allen, additional
Published: 2019
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127. Prevalence and causes of vision loss in high-income countries and in Eastern and Central Europe in 2015: magnitude, temporal trends and projections

Author: Janet L Leasher, Tunde Peto, Jill E Keeffe, Nina Tahhan, Konrad Pesudovs, Rohit Varma, Hans Limburg, John H. Kempen, Aditi Das, Alain M. Bron, Jinan Saadine, Jost B. Jonas, Hugh R. Taylor, Rupert R A Bourne, Serge Resnikoff, David S Friedman, Tien Yin Wong, Seth Flaxman, Maria Vittoria Cicinelli, Kovin Naidoo, Alexander J Silvester, Anglia Ruskin University (ARU), University Hospital Center Mannheim, Partenaires INRAE, Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Centre National de la Recherche Scientifique (CNRS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), San Raffaele Scientific Institute, Health Education Yorkshire and the Humber, Imperial College London, Wilmer Eye Institute, Johns Hopkins University School of Medicine, L V Prasad Eye Institute, Massachusetts Eye and Ear Infirmary, Medical Center, Nova Southeastern University (NSU), Health Information Services, University of KwaZulu-Natal (UKZN), NHMRC Centre for Clinical Eye Research, Dentistry and Biomedical Sciences, Centers for Disease Control and Prevention, Royal Liverpool University Hospital, La Vision, University of New South Wales [Sydney] (UNSW), Melbourne School of Population Health, Keck School of Medicine of USC, Singapore Eye Research Institute [Singapore] (SERI), National University of Singapore (NUS), Heidelberg University, Flinders University, University of Melbourne, Bourne, Rupert R. A., Bourne, Rra, Jonas, Jb, Bron, Am, Cicinelli, Mv, Das, A, Flaxman, Sr, Friedman, D, Keeffe, Je, Kempen, Jh, Leasher, J, Limburg, H, Naidoo, K, Pesudovs, K, Peto, T, Saadine, J, Silvester, Aj, Tahhan, N, Taylor, Hr, Varma, R, Wong, Ty, Resnikoff, S, on behalf of the Vision Loss Expert Group of the Global Burden of Disease, Study, and Battaglia Parodi, M
Subjects: Refractive error, Organes des sens, genetic structures, Glaucoma, Ophthalmology & Optometry, Macular Degeneration, 0302 clinical medicine, Epidemiology, 030212 general & internal medicine, education.field_of_study, GLOBAL PREVALENCE, public health, DEGENERAÇÃO MACULAR, Diabetic retinopathy, Refractive Errors, Sensory Systems, 3. Good health, Global Issues, Blindne, Europe, 1117 Public Health And Health Services, BLINDNESS, épidémiologie, Female, INDIA, epidemiology, medicine.symptom, OPEN-ANGLE GLAUCOMA, Life Sciences & Biomedicine, Human, Developed Countrie, medicine.medical_specialty, Population, Visual impairment, Sensory Organs, Médecine humaine et pathologie, Cataract, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, medicine, Journal Article, Humans, VISUAL IMPAIRMENT, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, education, Diabetic Retinopathy, Science & Technology, business.industry, Developed Countries, 1103 Clinical Sciences, Presbyopia, Macular degeneration, Vision Loss Expert Group of the Global Burden of Disease Study, medicine.disease, MACULAR DEGENERATION, RANIBIZUMAB, 1113 Ophthalmology And Optometry, eye diseases, Ophthalmology, glaucoma, santé publique, glaucome, DISTANCE, 030221 ophthalmology & optometry, Human health and pathology, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Demography
Abstract: BackgroundWithin a surveillance of the prevalence and causes of vision impairment in high-income regions and Central/Eastern Europe, we update figures through 2015 and forecast expected values in 2020.MethodsBased on a systematic review of medical literature, prevalence of blindness, moderate and severe vision impairment (MSVI), mild vision impairment and presbyopia was estimated for 1990, 2010, 2015, and 2020.ResultsAge-standardised prevalence of blindness and MSVI for all ages decreased from 1990 to 2015 from 0.26% (0.10–0.46) to 0.15% (0.06–0.26) and from 1.74% (0.76–2.94) to 1.27% (0.55–2.17), respectively. In 2015, the number of individuals affected by blindness, MSVI and mild vision impairment ranged from 70 000, 630 000 and 610 000, respectively, in Australasia to 980 000, 7.46 million and 7.25 million, respectively, in North America and 1.16 million, 9.61 million and 9.47 million, respectively, in Western Europe. In 2015, cataract was the most common cause for blindness, followed by age-related macular degeneration (AMD), glaucoma, uncorrected refractive error, diabetic retinopathy and cornea-related disorders, with declining burden from cataract and AMD over time. Uncorrected refractive error was the leading cause of MSVI.ConclusionsWhile continuing to advance control of cataract and AMD as the leading causes of blindness remains a high priority, overcoming barriers to uptake of refractive error services would address approximately half of the MSVI burden. New data on burden of presbyopia identify this entity as an important public health problem in this population. Additional research on better treatments, better implementation with existing tools and ongoing surveillance of the problem is needed.
Published: 2018

128. The Eye at Altitude

Author: Morris, Daniel S, primary, Somner, John, additional, Donald, Michael J, additional, McCormick, Ian J C, additional, Bourne, Rupert R A, additional, Huang, Suber S, additional, Aspinall, Peter, additional, and Dhillon, Baljean, additional
Published: 2006
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129. Does blindness count? Disability weights for vision loss

Author: Rupert R A Bourne, Konrad Pesudovs, Tasanee Braithwaite, Hugh R. Taylor, and Jill E Keeffe
Subjects: Blindness, business.industry, 030231 tropical medicine, MEDLINE, medicine.disease, Visually Impaired Persons, Quality-adjusted life year, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Global health, Medicine, Optometry, 030212 general & internal medicine, business
Published: 2017

130. The National Eye Survey of Trinidad and Tobago (NESTT): Rationale, Objectives and Methodology

Author: Samuel Ramsewak, Surujpal Teelucksingh, Konrad Pesudovs, Tasanee Braithwaite, Neville Q. Verlander, Debra Bartholomew, Allana Roach, Rupert R A Bourne, Subash Sharma, Deo Singh, Petra Bridgemohan, Christine V.F. Carrington, and Kevin McNally
Subjects: Adult, Male, Gerontology, medicine.medical_specialty, Adolescent, genetic structures, Epidemiology, Cross-sectional study, Population, Visual impairment, Vision, Low, Blindness, Disease cluster, Young Adult, 03 medical and health sciences, Age Distribution, 0302 clinical medicine, Quality of life, Risk Factors, Prevalence, Cluster Analysis, Humans, Medicine, 030212 general & internal medicine, Sex Distribution, Child, education, Aged, Aged, 80 and over, education.field_of_study, business.industry, Health Care Costs, Middle Aged, Anthropometry, Health Surveys, Ophthalmology, Cross-Sectional Studies, Trinidad and Tobago, Child, Preschool, Multistage sampling, Quality of Life, 030221 ophthalmology & optometry, Optometry, Female, medicine.symptom, business, Visually Impaired Persons
Abstract: Purpose: This paper describes the rationale, study design and procedures of the National Eye Survey of Trinidad and Tobago (NESTT). The main objective of this survey is to obtain prevalence estimates of vision impairment and blindness for planning and policy development.\ud \ud Methods: A population-based, cross-sectional survey was undertaken using random multistage cluster sampling, with probability-proportionate-to-size methods. Eligible participants aged 5 years and older were sampled from the non-institutional population in each of 120 cluster segments. Presenting distance and near visual acuity were screened in their communities. People aged 40 years and older, and selected younger people, were invited for comprehensive clinic assessment. The interview included information on potential risk factors for vision loss, associated costs and quality of life. The examination included measurement of anthropometrics, blood glucose, refraction, ocular biometry, corneal hysteresis, and detailed assessment of the anterior and posterior segments, with photography and optical coherence tomography imaging. Adult participants were invited to donate saliva samples for DNA extraction and storage.\ud \ud Results: The fieldwork was conducted over 13 months in 2013–2014. A representative sample of 10,651 individuals in 3410 households within 120 cluster segments identified 9913 people who were eligible for recruitment.\ud \ud Conclusion: The study methodology was robust and adequate to provide the first population-based estimates of the prevalence and causes of visual impairment and blindness in Trinidad and Tobago. Information was also gathered on risk factors, costs and quality of life associated with vision loss, and on normal ocular parameters for the population aged 40 years and older.
Published: 2017

131. Temporal ocular coherence tomography-measured changes in anterior chamber angle and diurnal intraocular pressure after laser iridoplasty: IMPACT study

Author: Rupert R A Bourne, Shahina Pardhan, and Ivailo Zhekov
Subjects: Male, Iridectomy, Intraocular pressure, Time Factors, genetic structures, medicine.medical_treatment, Glaucoma, Lasers, Solid-State, Imaging, 0302 clinical medicine, Medicine, Postoperative Period, Prospective Studies, medicine.diagnostic_test, Clinical Science, Middle Aged, Clinical Trial, Sensory Systems, Circadian Rhythm, Peripheral, Female, Laser Therapy, Tomography, Glaucoma, Open-Angle, Tomography, Optical Coherence, medicine.medical_specialty, Anterior Chamber, Gonioscopy, Anterior chamber angle, 03 medical and health sciences, Cellular and Molecular Neuroscience, Double-Blind Method, Optical coherence tomography, Ophthalmology, Humans, Intraocular Pressure, Treatment Lasers, business.industry, medicine.disease, Surgery, 030221 ophthalmology & optometry, sense organs, business, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Aims: To evaluate temporal change in anterior chamber angle anatomy following argon laser peripheral iridoplasty (ALPI) in eyes with occludable angles postlaser peripheral iridotomy (LPI) compared with control eyes. Additionally, the effect on diurnal intraocular pressure (DIOP) fluctuation (maximum-minimum IOP) was investigated.\ud \ud Methods: Twenty-two patients with bilateral primary angle closure/suspects with gonioscopically occludable anterior chamber angles following LPI were randomised to receive ALPI (n=11) or no further treatment (n=11). Angle opening distance (AOD), trabecular-iris angle, angle recess area and trabecular-iris space area were measured over eight sections with swept-source anterior segment optical coherence tomography and DIOP was measured pre-LPI and repeated at 3 months after ALPI (hourly measures).\ud \ud Results: All angle parameters increased following ALPI. This change was maintained for 3 months in seven of the eight sections (eg, inferotemporal AOD500 increased by 0.063 mm, p=0.004 at 1 day; 0.051 mm, p=0.029 at 1 week; 0.059 mm, p=0.006 at 6 weeks and 0.056 mm, p=0.011 at 3 months). The only exception was in the inferior sector (eg, AOD500 increased by 0.041 mm, p=0.025 at 1 day and by 0.029 mm, p=0.054 at 3 months). DIOP at 3 months was significantly reduced (5.04 mm Hg; ±1.61 mm Hg) compared with controls (6.61 mm Hg; ±1.63 mm Hg). Maximum IOP was significantly greater in the non-ALPI group (1.87 mm Hg, p=0.026).\ud \ud Conclusions: ALPI widened all angle sections in eyes that remained occludable post-LPI. Changes were maintained for 3 months. ALPI decreased DIOP fluctuation in the treated eyes by lowering the maximum IOP value.
Published: 2016

132. Announcing The Lancet Global Health Commission on Global Eye Health

Author: Thulasiraj Ravilla, Peter Holland, Hannah Faal, Allen Foster, Jacqueline Ramke, Sheila K. West, Rupert R A Bourne, Matthew J. Burton, Nathan Congdon, and Ningli Wang
Subjects: Eye Diseases, business.industry, MEDLINE, Eye Diseases/prevention & control, General Medicine, Commission, Public administration, Global Health, Eye health, Global health, Humans, Medicine, Periodicals as Topic, business
Published: 2019

133. Lessons learned from the development and implementation of a patient-reported outcome and experience measure (POEM) in an Australian glaucoma practice

Author: Roslyn A. Vincent, Alison Fraenkel, Stephen J. Vincent, Graham A Lee, Rupert R A Bourne, Peter Shah, and Apollo - University of Cambridge Repository
Subjects: Male, genetic structures, Patient engagement, Visual Acuity, Glaucoma, Patient-reported outcome experience measure, 0302 clinical medicine, lcsh:Ophthalmology, Surveys and Questionnaires, Activities of Daily Living, Prospective Studies, media_common, Aged, 80 and over, Outcome measures, Multivariate linear model, General Medicine, Middle Aged, Cohort, Patient-reported outcome, Female, Queensland, Research Article, Adult, medicine.medical_specialty, media_common.quotation_subject, 03 medical and health sciences, Young Adult, Quality of life (healthcare), Perception, Female patient, medicine, Humans, Patient Reported Outcome Measures, Intraocular Pressure, Aged, Quality of Health Care, business.industry, medicine.disease, eye diseases, Ophthalmology, Cross-Sectional Studies, lcsh:RE1-994, 030221 ophthalmology & optometry, Physical therapy, Quality of Life, sense organs, Morbidity, Visual Fields, business, 030217 neurology & neurosurgery
Abstract: Background A patient’s perception of how their glaucoma is managed will influence both adherence to their medication and outcome measures such as quality of life. Methods Prospective consecutive study using a Glaucoma Patient-reported Outcome and Experience Measure (POEM) modified for an Australian ophthalmic private clinical practice setting. The Australian Glaucoma POEM consists of eight items related to the patient’s understanding of the diagnosis and management, acceptability of the treatment, whether they feel their glaucoma is getting worse, interfering with their daily life and concerns regarding loss of vision as well as addressing whether they feel safe under the care of their glaucoma team and how well their care is organised. Results Two hundred and two patients (M:F 91:111) participated in the study. Mean ± standard deviation for subject age was 69 ± 13 years. Patient’s overall perception of their treatment and outcome was favourable. Younger patients felt their glaucoma interfered more with their daily lives and were more worried about losing vision from glaucoma. The greater the number of medications in use, the more they felt their glaucoma was getting worse and that glaucoma interfered with their daily lives. With all other variables accounted for by the multivariate linear model, female patients more strongly agreed that they understood their glaucoma diagnosis and glaucoma management. The patients with a severe visual defect in their worse eye, reported a greater perceived understanding of their glaucoma diagnosis and management and that they felt that glaucoma had a greater interference on their daily life. They were also more concerned about losing vision from glaucoma than their fellow glaucoma patients with less severe or no visual field deficit in the worse eye. Conclusions The modified POEM demonstrates potential to capture the concerns of a practice’s glaucoma cohort with a view to enhancing the quality of glaucoma care delivered.
Published: 2019

134. Obstructive Sleep Apnea in Patients With Primary-open Angle Glaucoma

Author: Wozniak, Dariusz, Bourne, Rupert R. A., Peretz, Gil, Kean, Jane, Willshire, Catherine, Harun, Shabbir, Villar, Sofia, Chiu, Yi-Da, and Smith, Ian
Subjects: genetic structures, sense organs, eye diseases, nervous system diseases, respiratory tract diseases
Abstract: Precis: In this study, we found a high prevalence of obstructive sleep apnea (OSA) among patients with primary open-angle glaucoma (POAG) but this was not different (nor was OSA more severe) to matched people without glaucoma.\ud \ud Rationale: It has been proposed that OSA might be a contributing factor in the development of POAG and by extension that there could be a role for screening people with POAG for OSA.\ud \ud Objectives: To assess whether the prevalence of OSA among patients with POAG is different from that in people without glaucoma and to examine for associations between apnea-hypopnea index (AHI) and markers of functional and structural changes in POAG.\ud \ud Methods: Unselected POAG patients and control subjects were consecutively recruited in a single center. A comprehensive ocular assessment and nocturnal multichannel cardiorespiratory monitoring were performed.\ud \ud Results: Data from 395 participants, 235 POAG patients, and 160 controls were analyzed. The prevalence of OSA was 58% [95% confidence interval (CI), 52-65] in POAG patients and 54% (95% CI, 47-62) in controls, with 22% (95% CI, 16-27) of POAG patients and 16% (95% CI, 11-22) of controls diagnosed with moderate or severe OSA. A total of 160 POAG participants were matched to the controls using propensity score matching. There was no significant difference in OSA prevalence between the matched groups (P=0.91 for AHI>=5 and P=0.66 for AHI>=15). The AHI was not associated with the severity of visual field defect or retinal nerve fiber layer thinning after adjustment for confounders.\ud \ud Conclusions: This study confirms a high prevalence of OSA among patients with POAG which is, however, not higher than in people without glaucoma matched for known OSA risk factors. Our results do not support screening for OSA in patients with POAG.
Published: 2019

135. Prevalence and causes of vision loss in Latin America and the Caribbean in 2015: magnitude, temporal trends and projections

Author: Leasher, Janet, Braithwaite, Tasanee, Furtado, João M., Flaxman, Seth R., Lansingh, Van Charles, Silva, Juan Carlos, Resnikoff, Serge, Taylor, Hugh R., and Bourne, Rupert R. A.
Subjects: genetic structures, eye diseases
Abstract: OBJECTIVE: To estimate the prevalence and causes of blindness and vision impairment for distance and near in Latin America and the Caribbean (LAC) in 2015, and to forecast trends to 2020. \ud METHODS: A meta-analysis from a global systematic review of cross-sectional, population-representative studies from published and unpublished sources from 1980 to 2014 included in the Global Vision Database. \ud RESULTS: In 2015, across LAC, we estimate age-standardised prevalence to be 0.38% in all ages and 1.56% in those over age 50 for blindness, 2.06% in all ages and 7.86% in those over age 50 for moderate and severe vision impairment (MSVI), 1.89% in all ages and 6.93% in those over age 50 for mild vision impairment, and 39.59% in all ages and 45.27% in those over 50 for near vision impairment. We estimate that in 2015, 123.26 million persons were vision impaired; of those 2.34 million blind, 12.46 million with MSVI, 11.34 million mildly impaired and 97.12 million had near vision impairment. Cataract is the most common cause of blindness. Under- corrected refractive-error is the most common cause of vision impairment. \ud CONCLUSIONS: Increasing granularity in prevalence estimates across all levels of vision loss suggest that one in five persons across LAC had some degree of vision loss in 2015. The absolute numbers of persons with vision impairment are increasing, while the age-standardised prevalence is decreasing. All countries should conduct epidemiologic studies to establish accurate national estimates and trends of vision impairment. Universal eye health services must be included in universal health coverage reforms to address fragmentation and segmentation of health care across the region.
Published: 2019

136. Prevalence and Causes of Blindness and Vision Impairment: Magnitude, Temporal Trends, and Projections in South and Central Asia

Author: Nangia, Vinay, Jonas, Jost B., George, Ronnie, Lingam, Vijaya, Ellwein, Leon B., Cicinelli, Maria V., Das, Aditi, Flaxman, Seth R., Keeffe, Jill, Kempen, John H., Leasher, Janet, Limburg, Hans, Naidoo, Kovin, Pesudovs, Konrad, Resnikoff, Serge, Silvester, Alex, Tahhan, Nina, Taylor, Hugh R., Wong, Tien Y., and Bourne, Rupert R. A.
Subjects: genetic structures, eye diseases
Abstract: Background: To assess prevalence and causes of vision loss in Central and South Asia. \ud Methods: A systematic review of medical literature assessed the prevalence of blindness (presenting visual acuity
Published: 2019

137. Prevalence and Causes of Vision Loss in North Africa and Middle East in 2015: Magnitude, Temporal Trends, and Projections

Author: Kahloun, Rim, Khairallah, Moncef, Resnikoff, Serge, Cicinelli, Maria V., Das, Aditi, Flaxman, Seth R., Jonas, Jost B., Keeffe, Jill, Kempen, John H., Leasher, Janet, Limburg, Hans, Naidoo, Kovin, Pesudovs, Konrad, Silvester, Alex, Tahhan, Nina, Taylor, Hugh R., Wong, Tien Y., and Bourne, Rupert R. A.
Subjects: genetic structures, sense organs, eye diseases
Abstract: Background: To assess the prevalence and causes of vision impairment in North Africa and the Middle East (NAME) from 1990 to 2015 and to forecast projections for 2020.\ud \ud Methods: Based on a systematic review of medical literature, the prevalence of blindness (presenting visual acuity (PVA)
Published: 2019

138. Obstructive Sleep Apnea in Patients With Primary-open Angle Glaucoma: No Role for a Screening Program

Author: Jane Kean, Rupert R A Bourne, Gil Peretz, Dariusz Wozniak, Shabbir Harun, Ian Smith, Yi-Da Chiu, Sofia S. Villar, and Catherine Willshire
Subjects: Male, Intraocular pressure, medicine.medical_specialty, genetic structures, Open angle glaucoma, Cross-sectional study, Glaucoma, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Prevalence, Humans, Mass Screening, In patient, Intraocular Pressure, Aged, Aged, 80 and over, Sleep Apnea, Obstructive, business.industry, Case-control study, Sleep apnea, Middle Aged, medicine.disease, eye diseases, United Kingdom, nervous system diseases, respiratory tract diseases, Obstructive sleep apnea, Ophthalmology, Cross-Sectional Studies, Case-Control Studies, 030221 ophthalmology & optometry, Visual Field Tests, Female, sense organs, business, 030217 neurology & neurosurgery, Glaucoma, Open-Angle
Abstract: PRéCIS:: In this study, we found a high prevalence of obstructive sleep apnea (OSA) among patients with primary open-angle glaucoma (POAG) but this was not different (nor was OSA more severe) to matched people without glaucoma.It has been proposed that OSA might be a contributing factor in the development of POAG and by extension that there could be a role for screening people with POAG for OSA.To assess whether the prevalence of OSA among patients with POAG is different from that in people without glaucoma and to examine for associations between apnea-hypopnea index (AHI) and markers of functional and structural changes in POAG.Unselected POAG patients and control subjects were consecutively recruited in a single center. A comprehensive ocular assessment and nocturnal multichannel cardiorespiratory monitoring were performed.Data from 395 participants, 235 POAG patients, and 160 controls were analyzed. The prevalence of OSA was 58% [95% confidence interval (CI), 52-65] in POAG patients and 54% (95% CI, 47-62) in controls, with 22% (95% CI, 16-27) of POAG patients and 16% (95% CI, 11-22) of controls diagnosed with moderate or severe OSA. A total of 160 POAG participants were matched to the controls using propensity score matching. There was no significant difference in OSA prevalence between the matched groups (P=0.91 for AHI≥5 and P=0.66 for AHI≥15). The AHI was not associated with the severity of visual field defect or retinal nerve fiber layer thinning after adjustment for confounders.This study confirms a high prevalence of OSA among patients with POAG which is, however, not higher than in people without glaucoma matched for known OSA risk factors. Our results do not support screening for OSA in patients with POAG.
Published: 2019

139. Changes in ocular signs and symptoms in patients switching from bimatoprost-timolol to tafluprost-timolol eye drops: an open-label phase IV study

Author: Katrin Lorenz, Auli Ropo, Rupert R A Bourne, Carlo Enrico Traverso, Jouni Vuorinen, and Kai Kaarniranta
Subjects: Male, Intraocular pressure, genetic structures, Ocular hypertension, Glaucoma, Timolol, Benzalkonium chloride, 0302 clinical medicine, clinical pharmacology, clinical trials, glaucoma, intraocular pressure, medical ophthalmology, ocular surface, Medicine (all), Aged, 80 and over, integumentary system, General Medicine, Middle Aged, Intention to Treat Analysis, Drug Combinations, 030220 oncology & carcinogenesis, Female, Glaucoma, Open-Angle, medicine.drug, Adult, medicine.medical_specialty, Drug Administration Schedule, 03 medical and health sciences, Ophthalmology, medicine, Humans, Antihypertensive Agents, Intraocular Pressure, Aged, Bimatoprost, business.industry, Research, Preservatives, Pharmaceutical, Prostaglandins F, Tafluprost, medicine.disease, eye diseases, Clinical trial, 030221 ophthalmology & optometry, Quality of Life, Ocular Hypertension, sense organs, Ophthalmic Solutions, business
Abstract: ObjectivesBimatoprost–timolol (bimatoprost 0.03%–timolol 0.5% fixed-dose combination [FDC]) and tafluprost–timolol (tafluprost 0.0015%–timolol 0.5% FDC) eye drops are currently the only topical intraocular pressure (IOP)-reducing therapies available as preservative-free (PF) prostaglandin and timolol FDC. The aim of this study was to investigate changes to ocular signs and symptoms when patients with ocular hypertension (OH) or open-angle glaucoma (OAG) switched from PF or benzalkonium chloride (BAK)-preserved bimatoprost–timolol to PF tafluprost–timolol eye drops.DesignThis was a 12-week, open-label, phase IV study.SettingSixteen centres in Finland, Germany, Italy and the UK.ParticipantsPatients with OH or OAG (IOP on medication ≤21 mm Hg), treated with PF or BAK-preserved bimatoprost–timolol for ≥4 weeks before screening, and presenting with conjunctival hyperaemia and ≥1 ocular symptom.InterventionsPatients were switched to PF tafluprost–timolol once daily in the treated eye(s).Primary and secondary outcome measuresThe primary endpoints were change from screening to week 12 in conjunctival hyperaemia and worst ocular symptom. The secondary outcome measures were changes from screening in ocular signs (other than conjunctival hyperaemia) and symptoms at week 12.ResultsOf 123 enrolled patients, 121 were included in the intention-to-treat dataset, of which all were Caucasian and 54.5% were female; 76 patients used BAK-preserved bimatoprost–timolol and 45 used PF drops. Conjunctival hyperaemia and severity of worst ocular symptom following switch to PF tafluprost–timolol significantly reduced from screening to week 12 in all patients (pConclusionsSwitching from BAK-preserved or PF bimatoprost–timolol to tafluprost–timolol reduced both signs and symptoms of ocular surface disease with no clinically relevant effect on IOP.Trial registration numberEudraCT2014-005273-37; Results.
Published: 2019

140. Changes in ocular signs and symptoms in patients switching from bimatoprost–timolol to tafluprost–timolol eye drops: an open-label phase IV study

Author: Bourne, Rupert R. A., Kaarniranta, Kai, Lorenz, Katrin, Traverso, Carlo E., Vuorinen, Jouni, and Ropo, Auli
Subjects: integumentary system, genetic structures, sense organs, eye diseases
Abstract: Objectives: Bimatoprost–timolol (bimatoprost 0.03%–timolol 0.5% fixed-dose combination [FDC]) and tafluprost–timolol (tafluprost 0.0015%–timolol 0.5% FDC) eye drops are currently the only topical intraocular pressure (IOP)-reducing therapies available as preservative-free (PF) prostaglandin and timolol FDC. The aim of this study was to investigate changes to ocular signs and symptoms when patients with ocular hypertension (OH) or open-angle glaucoma (OAG) switched from PF or benzalkonium chloride (BAK)-preserved bimatoprost–timolol to PF tafluprost–timolol eye drops.\ud \ud Design: This was a 12-week, open-label, phase IV study.\ud \ud Setting: Sixteen centres in Finland, Germany, Italy and the UK.\ud \ud Participants: Patients with OH or OAG (IOP on medication ≤21 mm Hg), treated with PF or BAK-preserved bimatoprost–timolol for ≥4 weeks before screening, and presenting with conjunctival hyperaemia and ≥1 ocular symptom.\ud \ud Interventions: Patients were switched to PF tafluprost–timolol once daily in the treated eye(s).\ud \ud Primary and secondary outcome measures: The primary endpoints were change from screening to week 12 in conjunctival hyperaemia and worst ocular symptom. The secondary outcome measures were changes from screening in ocular signs (other than conjunctival hyperaemia) and symptoms at week 12.\ud \ud Results: Of 123 enrolled patients, 121 were included in the intention-to-treat dataset, of which all were Caucasian and 54.5% were female; 76 patients used BAK-preserved bimatoprost–timolol and 45 used PF drops. Conjunctival hyperaemia and severity of worst ocular symptom following switch to PF tafluprost–timolol significantly reduced from screening to week 12 in all patients (p
Published: 2019

141. Prevalence of macular complications related to myopia - Results of a multicenter evaluation of myopic patients in eye clinics in France

Author: Simon Marillet, Nicolas Leveziel, Yacine Bentaleb, Olivier Lichtwitz, Pierre Ingrand, Rupert R A Bourne, François Pelen, and Quentin Dufour
Subjects: Adult, Male, medicine.medical_specialty, Refractive error, genetic structures, medicine.medical_treatment, retinoschisis, Visual impairment, prevalence, Retinoschisis, Vision, Low, Blindness, choroidal neovascularization, 03 medical and health sciences, 0302 clinical medicine, Atrophy, Retinal Diseases, atrophy, lacquer cracks, Refractive surgery, Ophthalmology, Epidemiology, Myopia, Medicine, Humans, staphyloma, business.industry, Staphyloma, General Medicine, Original Articles, Middle Aged, medicine.disease, eye diseases, Choroidal neovascularization, Cross-Sectional Studies, 030221 ophthalmology & optometry, Female, Original Article, epidemiology, sense organs, France, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Purpose:\ud \ud Uncorrected refractive errors are the first cause of vision impairment worldwide. High myopia is a frequent cause of sight‐threatening chorioretinal complications. The aim of this study was to evaluate the prevalence of macular complications, visual impairment and blindness in patients with myopia.\ud \ud Methods:\ud \ud A cross‐sectional multicenter study carried out in French eye clinics mainly dedicated to refractive errors. Myopia severity was defined as mild (−0.5 to −3 D), moderate (−3 to −6 D), high (−6 to −10 D) and very high (more than −10 D). Macular complications related to myopia included lacquer cracks, myopic choroidal neovascularization, chorioretinal atrophy and retinoschisis. The prevalences of macular complications, blindness and vision impairment were estimated with respect to degree of myopia and age. Eligibility criteria were myopia on the left eye of −0.5 D or more. Exclusion criteria included any missing data related to subjective refractive error, age, gender and any history of cataract or refractive surgery.\ud \ud Results:\ud \ud Data files from 198 641 myopic individuals with a mean age of 34 years (SD: 15 years) were analysed. The prevalence of mild, moderate, high and very high myopia was, respectively, 65.95%, 26.14%, 6.72% and 1.19%. The prevalence of macular complications in the high and very high myopia groups was 0.5% [0.39–0.64] and 4.27% [3.49–5.17]. The prevalence of blindness or vision impairment was observed in 10.10% [8.91–11.39%] of the very high myopic group. At 60 years old or over, the prevalences of blindness or vision impairment were, respectively, 9.75% [7.91–11.85%] and 25.71% [21.00–30.87%] in the high and very high myopia groups.\ud \ud Conclusions:\ud \ud This multicenter cross‐sectional study provides new insights in terms of prevalence of macular complications related to myopia. To our knowledge, this is one of the largest European studies focusing on individuals with myopia, particularly on the macular complications and the functional consequences in relation to myopia.
Published: 2019

142. Looking Within Rather Than Between Countries to Understand the Risk Factors for Vision Impairment

Author: Bourne, Rupert R. A., Jonas, Jost B., and Resnikoff, Serge
Published: 2019

143. A century of controversy surrounding posttraumatic stress-spectrum syndromes: The impact on DSM-III and DSM-IV

Author: Kinzie, J. David and Goetz, Rupert R.
Published: 1996
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144. Depression

Author: Goetz, Rupert R., primary, Fields, Scott A., additional, and Toffler, William L., additional
Published: 2003
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145. Uncorrected refractive error and presbyopia: accommodating the unmet need

Author: Bourne, Rupert R A
Published: 2007

146. The prevalence and severity of diabetic retinopathy, associated risk factors and vision loss in patients registered with type 2 diabetes in Luganville, Vanuatu

Author: Smith, Tasanee S T, Szetu, John, and Bourne, Rupert R A
Published: 2007

147. P55 CPAP related intraocular pressure increase at night in people with and without glaucoma

Author: Rupert R A Bourne, Dariusz Wozniak, Ian Smith, and Matthew Schneiders
Subjects: medicine.medical_specialty, Intraocular pressure, Supine position, genetic structures, business.industry, INTRAOCULAR PRESSURE INCREASE, medicine.medical_treatment, Glaucoma, medicine.disease, eye diseases, nervous system diseases, respiratory tract diseases, Obstructive sleep apnea, 03 medical and health sciences, FEV1/FVC ratio, 0302 clinical medicine, 030228 respiratory system, Ophthalmology, Mixed-design analysis of variance, medicine, sense organs, 030212 general & internal medicine, Continuous positive airway pressure, business
Abstract: Introduction There is some evidence that CPAP increases intraocular pressure (IOP) at night but this has not been examined in patients with glaucoma in whom IOP lowering is the mainstay of treatment.1 Aim To assess the impact of CPAP on nocturnal IOP in patients with treated primary open-angle glaucoma (POAG) and in people with healthy eyes. Methods All recruited participants were newly diagnosed with OSA and had indications for CPAP treatment. Nocturnal IOP was measured in both eyes in a supine position every 2 hours using a rebound tonometer (IcarePro). The measurements were obtained prior to starting CPAP and were repeated 4–6 weeks into the treatment. On the second night all measurements, apart from those taken at 10 pm, were obtained with participants using CPAP. Data were analysed using a mixed design ANOVA. Results 14 POAG and 12 control participants were included. A mean apnoea-hypopnoea index (AHI) was 33.5±14.9 in the POAG group and 38.7±20.8 in the control group. A mean CPAP level was 10.8±2.9 cmH2O and 13±2.9 cmH2O, respectively. IOP measured with subjects using CPAP was significantly higher than at baseline with a mean increase of 2.7±2.2 mmHg (p=0.000) in all patients (figure 1). The difference in IOP increase between the groups was not statistically significant (2.2±2.2 mmHg [POAG] vs 3.2±2.2 mmHg [Control], p=0.27). In 50% of participants IOP increased by ≥5 mmHg at one or more time points. Among examined potential predictors of IOP increase (CPAP level, BMI, FVC, AHI,) only CPAP level was significantly correlated with IOP change (r=0.44, p=0.025). Conclusions Our study confirms that CPAP raises nocturnal IOP. These findings may be particularly relevant to the management of people with POAG and co-existing OSA. Sleep specialist should inform ophthalmologists when commencing their patients on CPAP. Future studies should assess the long-term implications of using CPAP on glaucoma progression. Reference Kiekens S, Veva De G, Coeckelbergh T, et al. Continuous positive airway pressure therapy is associated with an increase in intraocular pressure in obstructive sleep apnea. Invest Ophthalmol Vis Sci 2008;49(3):934–40.
Published: 2018

148. P56 Is obstructive sleep apnoea a risk factor for reduction of retinal nerve fibre layer thickness in primary open-angle glaucoma?

Author: M Ratwatte, Rupert R A Bourne, Ian Smith, and Dariusz Wozniak
Subjects: Intraocular pressure, medicine.medical_specialty, genetic structures, Open angle glaucoma, business.industry, Glaucoma, Cardiorespiratory fitness, medicine.disease, eye diseases, respiratory tract diseases, Visual field, 03 medical and health sciences, 0302 clinical medicine, Ophthalmology, medicine, Optic nerve, sense organs, 030212 general & internal medicine, Risk factor, business, Prospective cohort study, 030217 neurology & neurosurgery
Abstract: Introduction It has been hypothesised that Obstructive Sleep Apnoea (OSA) may contribute to glaucomatous progression through hypoxic stress and vascular dysfunction. The purpose of this study was to determine whether OSA is a risk factor for increased progression of retinal nerve fibre layer (RNFL) thinning in primary open-angle glaucoma (POAG). Methods Patients with POAG who took part in the POSAG study (Prevalence of Obstructive Sleep Apnoea in Glaucoma, NCT02713152) and underwent a comprehensive ocular examination and a nocturnal multi-channel cardiorespiratory monitoring were screened for eligibility. Longitudinal data on circumpapillary RNFL thickness measured using Ocular Coherence Tomography (OCT) were collected retrospectively. A minimum of 3 years of follow up period was required. Patients with central sleep apnoea, inadequate quality OCT scans, ocular co-morbidities and those who received treatment for OSA were excluded. For each patient, both eyes were included in the analysis. Results 167 eyes of 88 patients met the eligibility criteria and were enrolled. 54.5% of included patients were diagnosed with OSA which was moderate to severe in 21.6% of all patients. Average global RNFL thickness loss in patients with OSA was −1.1±1.6 µm/year compared to −0.6±1 µm/year in those without OSA (p=0.013). In a multivariable model adjusted for age, cardiovascular co-morbidities, intraocular pressure and prior filtration surgery, OSA was independently associated with global RNFL thinning (p=0.002). The largest differences in RNFL thinning between the groups were in superior and inferior sectors which are typically first affected in POAG. Discussion To our knowledge this is the first study which examined POAG progression measured by longitudinal OCT changes and in relation to untreated OSA. We have found that POAG patients with OSA were losing global RNFL thickness on average almost twice faster than those without OSA and that this was independent of other factors. This study indicates that OSA may be a risk factor for progressive structural damage of the optic nerve in patients with POAG. However, these findings should be confirmed in a larger prospective study and it is still unclear whether the impact of OSA is large enough to produce functional visual field impairment.
Published: 2018

149. Progression of myopia in children and teenagers: a nationwide longitudinal study

Author: Dorian Tricard, Pierre Ingrand, Simon Marillet, Nicolas Leveziel, Mark A. Bullimore, and Rupert R A Bourne
Subjects: Longitudinal study, Refractive error, medicine.medical_specialty, Pediatrics, Multivariate analysis, Adolescent, Spherical equivalent, Refraction, Ocular, Cellular and Molecular Neuroscience, Epidemiology, Myopia, medicine, Humans, Longitudinal Studies, Prospective Studies, Child, Prospective cohort study, Dioptre, business.industry, medicine.disease, eye diseases, Sensory Systems, Ophthalmology, Cohort, Disease Progression, Female, business
Abstract: BackgroundData on myopia prevalence and progression in European children are sparse. The aim of this work was to evaluate the progression of myopia in children and teenagers in a large prospective study.MethodsA prospective study involving a nationwide cohort. Myopia was defined as a spherical equivalent (SE) of ≤ –0.50 diopters (D). Data on refractive error, gender and age were collected in 696 optical centres in France between 2013 and 2019, including 136 333 children (4–17 years old) in the analysis.Progression of myopia was assessed between the first visit and the last visit over up to 6.5 years.ResultsMean age was 11.3±3.8 years (55.0% of female). The proportion of children progressing more than –0.50 D per year was higher in age groups 7–9 years and 10–12 years and in children with SE ≤ –4.00 D at first visit, representing 33.1%, 29.4% and 30.0% of these groups, respectively. In multivariate analysis, progression during the first 11–24 months was higher in the 7–9 and 10–12 age groups (–0.43 D and –0.42 D, respectively), for higher SE at baseline (at least –0.33 D for SE ≤ –1 D) and for girls (–0.35 D).ConclusionThis is the first French epidemiological study to investigate myopia progression in a large-scale cohort of children. Sex, age groups and myopia severity are associated with differing rates of progression.
Published: 2021

150. Inter-eye comparison of patterns of visual field loss in patients with glaucomatous optic neuropathy

Author: Hoffmann, Esther M., Boden, Catherine, Zangwill, Linda M., Bourne, Rupert R., Weinreb, Robert N., and Sample, Pamela A.
Subjects: Glaucoma -- Physiological aspects, Visual fields -- Research, Health
Published: 2006

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