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Showing papers by "Philimon Gona published in 2017"


Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.

10,401 citations


Journal ArticleDOI
TL;DR: The rapid increase in the prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence‐based interventions to address this problem.
Abstract: BACKGROUND Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. METHOD ...

4,519 citations


Journal ArticleDOI
TL;DR: The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016 as discussed by the authors, which includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends.

3,228 citations


Journal ArticleDOI
TL;DR: At a global level, DALYs and HALE continue to show improvements and 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.

3,029 citations


Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors (GBD) study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions as discussed by the authors.
Abstract: Summary Background Comparable data on the global and country-specific burden of neurological disorders and their trends are crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to neurological disorders in 2015 and its relationship with country development level. Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification have been previously spread across multiple disease groupings. The more inclusive grouping of neurological disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer's disease and other dementias, Parkinson's disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and fertility, to identify patterns associated with development and how countries fare against expected outcomes relative to their level of development. Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4 [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tension-type headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication overuse headache (58·5 [50·8 to 67·4 million]), and Alzheimer's disease and other dementias (46·0 [40·2 to 52·7 million]). Between 1990 and 2015, the number of deaths from neurological disorders increased by 36·7%, and the number of DALYs by 7·4%. These increases occurred despite decreases in age-standardised rates of death and DALYs of 26·1% and 29·7%, respectively; stroke and communicable neurological disorders were responsible for most of these decreases. Communicable neurological disorders were the largest cause of DALYs in countries with low SDI. Stroke rates were highest at middle levels of SDI and lowest at the highest SDI. Most of the changes in DALY rates of neurological disorders with development were driven by changes in YLLs. Interpretation Neurological disorders are an important cause of disability and death worldwide. Globally, the burden of neurological disorders has increased substantially over the past 25 years because of expanding population numbers and ageing, despite substantial decreases in mortality rates from stroke and communicable neurological disorders. The number of patients who will need care by clinicians with expertise in neurological conditions will continue to grow in coming decades. Policy makers and health-care providers should be aware of these trends to provide adequate services. Funding Bill & Melinda Gates Foundation.

2,995 citations


Journal ArticleDOI
TL;DR: The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden, finding that CVDs remain a major cause of health loss for all regions of the world.

2,525 citations


Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease as discussed by the authors.

1,755 citations


Journal ArticleDOI
Mohammad H. Forouzanfar1, Patrick Liu1, Gregory A. Roth1, Marie Ng1, Stan Biryukov1, Laurie B. Marczak1, Lily Alexander1, Kara Estep1, Kalkidan Hassen Abate2, Tomi Akinyemiju3, Raghib Ali4, Nelson Alvis-Guzman5, Peter Azzopardi, Amitava Banerjee6, Till Bärnighausen7, Till Bärnighausen8, Arindam Basu9, Tolesa Bekele10, Derrick A Bennett4, Sibhatu Biadgilign, Ferrán Catalá-López11, Ferrán Catalá-López12, Valery L. Feigin13, João C. Fernandes14, Florian Fischer15, Alemseged Aregay Gebru16, Philimon Gona17, Rajeev Gupta, Graeme J. Hankey18, Graeme J. Hankey19, Jost B. Jonas20, Suzanne E. Judd3, Young-Ho Khang21, Ardeshir Khosravi, Yun Jin Kim22, Ruth W Kimokoti23, Yoshihiro Kokubo, Dhaval Kolte24, Alan D. Lopez25, Paulo A. Lotufo26, Reza Malekzadeh, Yohannes Adama Melaku16, Yohannes Adama Melaku27, George A. Mensah28, Awoke Misganaw1, Ali H. Mokdad1, Andrew E. Moran29, Haseeb Nawaz30, Bruce Neal, Frida Namnyak Ngalesoni31, Takayoshi Ohkubo32, Farshad Pourmalek33, Anwar Rafay, Rajesh Kumar Rai, David Rojas-Rueda, Uchechukwu K.A. Sampson28, Itamar S. Santos26, Monika Sawhney34, Aletta E. Schutte35, Sadaf G. Sepanlou, Girma Temam Shifa36, Girma Temam Shifa37, Ivy Shiue38, Ivy Shiue39, Bemnet Amare Tedla40, Amanda G. Thrift41, Marcello Tonelli42, Thomas Truelsen43, Nikolaos Tsilimparis, Kingsley N. Ukwaja, Olalekan A. Uthman44, Tommi Vasankari, Narayanaswamy Venketasubramanian, Vasiliy Victorovich Vlassov45, Theo Vos1, Ronny Westerman, Lijing L. Yan46, Yuichiro Yano47, Naohiro Yonemoto, Maysaa El Sayed Zaki, Christopher J L Murray1 
10 Jan 2017-JAMA
TL;DR: In international surveys, although there is uncertainty in some estimates, the rate of elevatedSBP (≥110-115 and ≥140 mm Hg) increased substantially between 1990 and 2015, and DALYs and deaths associated with elevated SBP also increased.
Abstract: Importance Elevated systolic blood (SBP) pressure is a leading global health risk. Quantifying the levels of SBP is important to guide prevention policies and interventions. Objective To estimate the association between SBP of at least 110 to 115 mm Hg and SBP of 140 mm Hg or higher and the burden of different causes of death and disability by age and sex for 195 countries and territories, 1990-2015. Design A comparative risk assessment of health loss related to SBP. Estimated distribution of SBP was based on 844 studies from 154 countries (published 1980-2015) of 8.69 million participants. Spatiotemporal Gaussian process regression was used to generate estimates of mean SBP and adjusted variance for each age, sex, country, and year. Diseases with sufficient evidence for a causal relationship with high SBP (eg, ischemic heart disease, ischemic stroke, and hemorrhagic stroke) were included in the primary analysis. Main Outcomes and Measures Mean SBP level, cause-specific deaths, and health burden related to SBP (≥110-115 mm Hg and also ≥140 mm Hg) by age, sex, country, and year. Results Between 1990-2015, the rate of SBP of at least 110 to 115 mm Hg increased from 73 119 (95% uncertainty interval [UI], 67 949-78 241) to 81 373 (95% UI, 76 814-85 770) per 100 000, and SBP of 140 mm Hg or higher increased from 17 307 (95% UI, 17 117-17 492) to 20 526 (95% UI, 20 283-20 746) per 100 000. The estimated annual death rate per 100 000 associated with SBP of at least 110 to 115 mm Hg increased from 135.6 (95% UI, 122.4-148.1) to 145.2 (95% UI 130.3-159.9) and the rate for SBP of 140 mm Hg or higher increased from 97.9 (95% UI, 87.5-108.1) to 106.3 (95% UI, 94.6-118.1). Loss of disability-adjusted life-years (DALYs) associated with SBP of at least 110 to 115 mm Hg increased from 148 million (95% UI, 134-162 million) to 211 million (95% UI, 193-231 million), and for SBP of 140 mm Hg or higher, the loss increased from 95.9 million (95% UI, 87.0-104.9 million) to 143.0 million (95% UI, 130.2-157.0 million). The largest numbers of SBP-related deaths were caused by ischemic heart disease (4.9 million [95% UI, 4.0-5.7 million]; 54.5%), hemorrhagic stroke (2.0 million [95% UI, 1.6-2.3 million]; 58.3%), and ischemic stroke (1.5 million [95% UI, 1.2-1.8 million]; 50.0%). In 2015, China, India, Russia, Indonesia, and the United States accounted for more than half of the global DALYs related to SBP of at least 110 to 115 mm Hg. Conclusions and Relevance In international surveys, although there is uncertainty in some estimates, the rate of elevated SBP (≥110-115 and ≥140 mm Hg) increased substantially between 1990 and 2015, and DALYs and deaths associated with elevated SBP also increased. Projections based on this sample suggest that in 2015, an estimated 3.5 billion adults had SBP of at least 110 to 115 mm Hg and 874 million adults had SBP of 140 mm Hg or higher.

1,494 citations



Journal ArticleDOI
TL;DR: Age-specific and sex-specific all-cause mortality between 1970 and 2016 is estimated for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016 to identify countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone.

553 citations


Journal ArticleDOI
Ryan M Barber1, Nancy Fullman1, Reed J D Sorensen1, Thomas J. Bollyky  +757 moreInstitutions (314)
TL;DR: In this paper, the authors use the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015.

Journal ArticleDOI
TL;DR: GBD 2016 provides an updated and expanded evidence base on where the world currently stands in terms of the health-related SDGs, and substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases.

Journal ArticleDOI
Nicholas J Kassebaum1, Hmwe H Kyu1, Leo Zoeckler1, Helen E Olsen1  +256 moreInstitutions (120)
TL;DR: Global trends were driven by reductions in mortality owing to infectious, nutritional, and neonatal disorders, which in the aggregate led to a relative increase in the importance of noncommunicable diseases and injuries in explaining global disease burden.
Abstract: Importance: Comprehensive and timely monitoring of disease burden in all age groups, including children and adolescents, is essential for improving population health.Objective: To quantify and describe levels and trends of mortality and nonfatal health outcomes among children and adolescents from 1990 to 2015 to provide a framework for policy discussion.Evidence Review: Cause-specific mortality and nonfatal health outcomes were analyzed for 195 countries and territories by age group, sex, and year from 1990 to 2015 using standardized approaches for data processing and statistical modeling, with subsequent analysis of the findings to describe levels and trends across geography and time among children and adolescents 19 years or younger. A composite indicator of income, education, and fertility was developed (Socio-demographic Index [SDI]) for each geographic unit and year, which evaluates the historical association between SDI and health loss.Findings: Global child and adolescent mortality decreased from 14.18 million (95% uncertainty interval [UI], 14.09 million to 14.28 million) deaths in 1990 to 7.26 million (95% UI, 7.14 million to 7.39 million) deaths in 2015, but progress has been unevenly distributed. Countries with a lower SDI had a larger proportion of mortality burden (75%) in 2015 than was the case in 1990 (61%). Most deaths in 2015 occurred in South Asia and sub-Saharan Africa. Global trends were driven by reductions in mortality owing to infectious, nutritional, and neonatal disorders, which in the aggregate led to a relative increase in the importance of noncommunicable diseases and injuries in explaining global disease burden. The absolute burden of disability in children and adolescents increased 4.3% (95% UI, 3.1%-5.6%) from 1990 to 2015, with much of the increase owing to population growth and improved survival for children and adolescents to older ages. Other than infectious conditions, many top causes of disability are associated with long-term sequelae of conditions present at birth (eg, neonatal disorders, congenital birth defects, and hemoglobinopathies) and complications of a variety of infections and nutritional deficiencies. Anemia, developmental intellectual disability, hearing loss, epilepsy, and vision loss are important contributors to childhood disability that can arise from multiple causes. Maternal and reproductive health remains a key cause of disease burden in adolescent females, especially in lower-SDI countries. In low-SDI countries, mortality is the primary driver of health loss for children and adolescents, whereas disability predominates in higher-SDI locations; the specific pattern of epidemiological transition varies across diseases and injuries.Conclusions and Relevance: Consistent international attention and investment have led to sustained improvements in causes of health loss among children and adolescents in many countries, although progress has been uneven. The persistence of infectious diseases in some countries, coupled with ongoing epidemiologic transition to injuries and noncommunicable diseases, require all countries to carefully evaluate and implement appropriate strategies to maximize the health of their children and adolescents and for the international community to carefully consider which elements of child and adolescent health should be monitored.

Journal ArticleDOI
Hmwe H Kyu1, Emilie R Maddison2, Nathaniel J Henry, John Everett Mumford, Ryan M Barber, Chloe Shields, J Brown, Grant Nguyen, Austin Carter, Timothy M. Wolock, Haidong Wang, Patrick Liu, Marissa B Reitsma, Jennifer M. Ross, Amanuel Alemu Abajobir, Kalkidan Hassen Abate, Kaja Abbas, Mubarek Abera, Semaw Ferede Abera, Habtamu Abera Hareri, Muktar Beshir Ahmed, Kefyalew Addis Alene, Nelson Alvis-Guzman, Joshua Amo-Adjei, Jason R. Andrews, Hossein Ansari, Carl Abelardo T. Antonio, Palwasha Anwari, Hamid Asayesh, Tesfay Mehari Atey, Sachin R Atre, Aleksandra Barac, Justin Beardsley, Neeraj Bedi, Isabela M. Benseñor, Addisu Shunu Beyene, Zahid A Butt, Pere Joan Cardona, Devasahayam J. Christopher, Lalit Dandona, Rakhi Dandona, Kebede Deribe, Amare Deribew, Rebecca Ehrenkranz, Maysaa El Sayed Zaki, Aman Yesuf Endries, Tesfaye Regassa Feyissa, Florian Fischer, Ruoyan Gai, Alberto L. García-Basteiro, Tsegaye Tewelde Gebrehiwot, Hailay Abrha Gesesew2, Belete Getahun, Philimon Gona, Amador Goodridge, Harish Chander Gugnani, Hassan Haghparast-Bidgoli, Gessessew Bugssa Hailu, Hamid Yimam Hassen, Esayas Haregot Hilawe, Nobuyuki Horita, Kathryn H. Jacobsen, Jost B. Jonas, Amir Kasaeian, Muktar Sano Kedir, Laura Kemmer, Yousef Khader, Ejaz Ahmad Khan, Young-Ho Khang, Abdullah T Khoja, Yun Jin Kim, Parvaiz A Koul, Ai Koyanagi, Kristopher J Krohn, G Anil Kumar, Michael Kutz, Rakesh Lodha, Hassan Magdy Abd El Razek, Reza Majdzadeh, Tsegahun Manyazewal, Ziad A. Memish, Walter Mendoza, Haftay Berhane Mezgebe, Shafiu Mohammed, Felix Akpojene Ogbo, In-Hwan Oh, Eyal Oren, Aaron Osgood-Zimmerman, David M. Pereira, Dietrich Plass, Farshad Pourmalek, Mostafa Qorbani, Anwar Rafay, Mahfuzar Rahman, Rajesh Kumar Rai, Puja C Rao, Sarah E Ray, Robert Reiner, Nickolas Reinig, Saeid Safiri, Joshua A. Salomon, Logan Sandar, Benn Sartorius, Morteza Shamsizadeh, Muki Shey, Desalegn Markos Shifti, Hirbo Shore, Jasvinder A. Singh, Chandrashekhar T Sreeramareddy, Soumya Swaminathan, Scott J. Swartz, Fentaw Tadese, Bemnet Amare Tedla, Balewgizie Sileshi Tegegne, Belay Tessema, Roman Topor-Madry, Kingsley N. Ukwaja, Olalekan A. Uthman, Vasiliy Victorovich Vlassov, Stein Emil Vollset, Tolassa Wakayo, Solomon Weldegebreal, Ronny Westerman, Abdulhalik Workicho, Naohiro Yonemoto, Seok Jun Yoon, Marcel Yotebieng, Mohsen Naghavi, Simon I. Hay, Theo Vos, Christopher J L Murray 
TL;DR: In this article, the authors analyzed trends in the fatal and non-fatal burden of tuberculosis over the past 25 years for 195 countries and territories, and assessed how observed tuberculosis incidence, prevalence and mortality differed from expected trends as predicted by the Socio-demographic Index (SDI), a composite indicator based on income per capita, average years of schooling and total fertility rate.
Abstract: Summary Background An understanding of the trends in tuberculosis incidence, prevalence, and mortality is crucial to tracking of the success of tuberculosis control programmes and identification of remaining challenges. We assessed trends in the fatal and non-fatal burden of tuberculosis over the past 25 years for 195 countries and territories. Methods We analysed 10 691 site-years of vital registration data, 768 site-years of verbal autopsy data, and 361 site-years of mortality surveillance data using the Cause of Death Ensemble model to estimate tuberculosis mortality rates. We analysed all available age-specific and sex-specific data sources, including annual case notifications, prevalence surveys, and estimated cause-specific mortality, to generate internally consistent estimates of incidence, prevalence, and mortality using DisMod-MR 2.1, a Bayesian meta-regression tool. We assessed how observed tuberculosis incidence, prevalence, and mortality differed from expected trends as predicted by the Socio-demographic Index (SDI), a composite indicator based on income per capita, average years of schooling, and total fertility rate. We also estimated tuberculosis mortality and disability-adjusted life-years attributable to the independent effects of risk factors including smoking, alcohol use, and diabetes. Findings Globally, in 2015, the number of tuberculosis incident cases (including new and relapse cases) was 10·2 million (95% uncertainty interval 9·2 million to 11·5 million), the number of prevalent cases was 10·1 million (9·2 million to 11·1 million), and the number of deaths was 1·3 million (1·1 million to 1·6 million). Among individuals who were HIV negative, the number of incident cases was 8·8 million (8·0 million to 9·9 million), the number of prevalent cases was 8·9 million (8·1 million to 9·7 million), and the number of deaths was 1·1 million (0·9 million to 1·4 million). Annualised rates of change from 2005 to 2015 showed a faster decline in mortality (−4·1% [−5·0 to −3·4]) than in incidence (−1·6% [−1·9 to −1·2]) and prevalence (−0·7% [−1·0 to −0·5]) among HIV-negative individuals. The SDI was inversely associated with HIV-negative mortality rates but did not show a clear gradient for incidence and prevalence. Most of Asia, eastern Europe, and sub-Saharan Africa had higher rates of HIV-negative tuberculosis burden than expected given their SDI. Alcohol use accounted for 11·4% (9·3–13·0) of global tuberculosis deaths among HIV-negative individuals in 2015, diabetes accounted for 10·6% (6·8–14·8), and smoking accounted for 7·8% (3·8–12·0). Interpretation Despite a concerted global effort to reduce the burden of tuberculosis, it still causes a large disease burden globally. Strengthening of health systems for early detection of tuberculosis and improvement of the quality of tuberculosis care, including prompt and accurate diagnosis, early initiation of treatment, and regular follow-up, are priorities. Countries with higher than expected tuberculosis rates for their level of sociodemographic development should investigate the reasons for lagging behind and take remedial action. Efforts to prevent smoking, alcohol use, and diabetes could also substantially reduce the burden of tuberculosis. Funding Bill & Melinda Gates Foundation.

Journal ArticleDOI
Bernadette Thomas1, Bernadette Thomas2, Kunihiro Matsushita3, Kalkidan Hassen Abate4, Ziyad Al-Aly5, Johan Ärnlöv6, Johan Ärnlöv7, Kei Asayama8, Robert C. Atkins9, Alaa Badawi10, Alaa Badawi11, Shoshana H. Ballew3, Amitava Banerjee12, Lars Barregard13, Elizabeth Barrett-Connor, Sanjay Basu14, Aminu K. Bello15, Isabela M. Benseñor16, Jaclyn Bergstrom, Boris Bikbov, Christopher D. Blosser1, Hermann Brenner17, Juan Jesus Carrero7, Steve Chadban18, Steve Chadban19, Massimo Cirillo20, Monica Cortinovis21, Karen J. Courville21, Lalit Dandona2, Lalit Dandona22, Rakhi Dandona22, Rakhi Dandona2, Kara Estep2, João C. Fernandes23, Florian Fischer24, Caroline S. Fox, Ron T. Gansevoort25, Philimon Gona26, Orlando M. Gutiérrez, Samer Hamidi27, Sarah Wulf Hanson2, Jonathan Himmelfarb1, Simerjot K. Jassal28, Sun Ha Jee29, Vivekanand Jha30, Vivekanand Jha31, Aida Jimenez-Corona, Jost B. Jonas32, Andre Pascal Kengne33, Andre Pascal Kengne34, Yousef Khader35, Young-Ho Khang36, Yun Jin Kim37, Barbara E.K. Klein, Ronald Klein, Yoshihiro Kokubo, Dhaval Kolte38, Kristine E. Lee39, Andrew S. Levey40, Yongmei Li41, Paulo A. Lotufo16, Hassan Magdy Abd El Razek, Walter Mendoza42, Hirohito Metoki43, Yejin Mok29, Isao Muraki, Paul Muntner, Hiroyuki Noda44, Takayoshi Ohkubo8, Alberto Ortiz, Norberto Perico21, Kevan R. Polkinghorne45, Kevan R. Polkinghorne46, Rajaa Al-Radaddi, Giuseppe Remuzzi21, Giuseppe Remuzzi47, Gregory A. Roth2, Dietrich Rothenbacher48, Michihiro Satoh43, Kai-Uwe Saum17, Monika Sawhney49, Ben Schöttker17, Anoop Shankar, Michael G. Shlipak41, Diego Augusto Santos Silva50, Hideaki Toyoshima, Kingsley N. Ukwaja, Mitsumasa Umesawa51, Stein Emil Vollset2, Stein Emil Vollset52, Stein Emil Vollset53, David G. Warnock54, Andrea Werdecker, Kazumasa Yamagishi55, Yuichiro Yano56, Naohiro Yonemoto57, Maysaa El Sayed Zaki, Mohsen Naghavi2, Mohammad H. Forouzanfar2, Christopher J L Murray2, Josef Coresh3, Theo Vos2 
University of Washington1, Institute for Health Metrics and Evaluation2, Johns Hopkins University3, Jimma University4, Washington University in St. Louis5, Dalarna University6, Karolinska Institutet7, Teikyo University8, Baker IDI Heart and Diabetes Institute9, University of Toronto10, Public Health Agency of Canada11, University College London12, University of Gothenburg13, Stanford University14, University of Alberta15, University of São Paulo16, German Cancer Research Center17, University of Sydney18, Royal Prince Alfred Hospital19, University of Salerno20, Mario Negri Institute for Pharmacological Research21, Public Health Foundation of India22, Catholic University of Portugal23, Bielefeld University24, University Medical Center Groningen25, University of Massachusetts Boston26, Hamdan bin Mohammed e-University27, University of California, San Diego28, Yonsei University29, The George Institute for Global Health30, University of Oxford31, Heidelberg University32, South African Medical Research Council33, University of Cape Town34, Jordan University of Science and Technology35, Seoul National University36, Southern University College37, Brown University38, University of Wisconsin-Madison39, Tufts Medical Center40, San Francisco VA Medical Center41, United Nations Population Fund42, Tohoku University43, Osaka University44, Monash Medical Centre45, Monash University46, University of Milan47, University of Ulm48, Marshall University49, Universidade Federal de Santa Catarina50, Ibaraki Prefectural University of Health Sciences51, Norwegian Institute of Public Health52, University of Bergen53, University of Alabama at Birmingham54, University of Tsukuba55, Northwestern University56, Kyoto University57
TL;DR: By 2013, cardiovascular deaths attributed to reduced G FR outnumbered ESRD deaths throughout the world, and reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose as a risk factor for disability-adjusted life years in both developed and developing world regions.
Abstract: The burden of premature death and health loss from ESRD is well described. Less is known regarding the burden of cardiovascular disease attributable to reduced GFR. We estimated the prevalence of reduced GFR categories 3, 4, and 5 (not on RRT) for 188 countries at six time points from 1990 to 2013. Relative risks of cardiovascular outcomes by three categories of reduced GFR were calculated by pooled random effects meta-analysis. Results are presented as deaths for outcomes of cardiovascular disease and ESRD and as disability-adjusted life years for outcomes of cardiovascular disease, GFR categories 3, 4, and 5, and ESRD. In 2013, reduced GFR was associated with 4% of deaths worldwide, or 2.2 million deaths (95% uncertainty interval [95% UI], 2.0 to 2.4 million). More than half of these attributable deaths were cardiovascular deaths (1.2 million; 95% UI, 1.1 to 1.4 million), whereas 0.96 million (95% UI, 0.81 to 1.0 million) were ESRD-related deaths. Compared with metabolic risk factors, reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose, and similarly with high total cholesterol as a risk factor for disability-adjusted life years in both developed and developing world regions. In conclusion, by 2013, cardiovascular deaths attributed to reduced GFR outnumbered ESRD deaths throughout the world. Studies are needed to evaluate the benefit of early detection of CKD and treatment to decrease these deaths.

Journal ArticleDOI
TL;DR: In this paper, the authors performed an individual level random-effect analysis of traditional cardiovascular disease risk factors with venous thromboembolism (VTE) and found that traditional risk factors were associated with VTE.
Abstract: Background:Much controversy surrounds the association of traditional cardiovascular disease risk factors with venous thromboembolism (VTE). Methods:We performed an individual level random-effect me...


Journal ArticleDOI
TL;DR: The validity and limitations of the non-LB Framingham algorithm in a biracial cohort are demonstrated and it is demonstrated that Substituting BMI with a central adiposity metric such as waist–hip ratio or waist circumference could make the algorithm better or at par with the laboratory-basedFramingham algorithm.
Abstract: Background Nonlaboratory-based (non-LB) algorithms have been developed to facilitate absolute cardiovascular risk assessment in resource-constrained settings. The non-LB Framingham algorithm, which substitute BMI for lipids in laboratory-based Framingham, exhibits best performance among non-LB algorithms. However, its external validity has not been evaluated. Aim To examine the validity of non-LB Framingham algorithm in Atherosclerosis Risk in Communities dataset, and contrast performance with the laboratory-based Framingham algorithm. Methods We developed Cox regression models including non-LB and laboratory-based Framingham covariates in Atherosclerosis Risk in Communities dataset. Discrimination was assessed via C-statistic, calibration via goodness-of-fit, and marginal discrimination value of BMI vis-a-vis lipids vis-a-vis waist-hip ratio via net reclassification improvement (NRI). Both models were compared via area under receiver operating characteristic. Results Among 11 601 participants (mean age 54 years, 55% women, 23% black), non-LB vs. laboratory-based Framingham performed as follows: C-statistic 0.75 vs. 0.76 among women and 0.67 vs. 0.68 among men; goodness-of-fit 14.2 vs. 10.5 among women and 25.8 vs. 21.8 among men. Overall area under receiver operating characteristic was 0.706 vs. 0.710, respectively, with no racial differences in discrimination or calibration. BMI and total cholesterol had no impact on NRI. Incremental predictive value of HDL was comparable with waist-hip ratio (category-less NRI = 0.34 vs. 0.31; categorical NRI = 0.06 vs. 0.05, P Conclusion These results demonstrate the validity and limitations of the non-LB Framingham algorithm in a biracial cohort. Substituting BMI with a central adiposity metric such as waist-hip ratio or waist circumference could make the algorithm better or at par with the laboratory-based Framingham algorithm.

Journal ArticleDOI
TL;DR: This work sought to determine whether addition of trabecular and papillary-muscle (TPM) mass to CLVM augments prediction of increased left ventricular mass.
Abstract: Increased left ventricular mass (LVM) predicts cardiovascular disease (CVD) morbidity and mortality. Most prior studies considered only compacted left ventricular mass (CLVM); here we sought to determine whether addition of trabecular and papillary-muscle (TPM) mass to CLVM augments prediction of

01 Jan 2017
TL;DR: Sex, age, height, body mass index, and heart rate account for most of the variability in RV volumes and function in this community-dwelling, longitudinally followed cohort free of clinical cardiovascular and pulmonary disease.
Abstract: Background—Cardiac magnetic resonance is uniquely well suited for noninvasive imaging of the right ventricle. We sought to define normal cardiac magnetic resonance reference values and to identify the main determinants of right ventricular (RV) volumes and systolic function using a modern imaging sequence in a community-dwelling, longitudinally followed cohort free of clinical cardiovascular and pulmonary disease. Methods and Results—The Framingham Heart Study Offspring cohort has been followed since 1971. We scanned 1794 Offspring cohort members using steady-state free precession cardiac magnetic resonance and identified a reference group of 1336 adults (64±9 years, 576 men) free of prevalent cardiovascular and pulmonary disease. RV trabeculations and papillary muscles were considered cavity volume. Men had greater RV volumes and cardiac output before and after indexation to body size (all P<0.001). Women had higher RV ejection fraction than men (68±6% versus 64±7%; P<0.0001). RV volumes and cardiac output decreased with advancing age. There was an increase in raw and heightindexed RV measurements with increasing body mass index, but this trend was weakly inverted after indexation of RV volumes to body surface area. Sex, age, height, body mass index, and heart rate account for most of the variability in RV volumes and function in this community-dwelling population. Conclusions—We report sex-specific normative values for RV measurements among principally middle-aged and older adults. RV ejection fraction is greater in women. RV volumes increase with body size, are greater in men, and are smaller in older people. Body surface area seems to be appropriate for indexation of cardiac magnetic resonance–derived RV volumes. ( Circ Cardiovasc Imaging. 2016;9:e003810. DOI: 10.1161/CIRCIMAGING.115.003810.)


19 Sep 2017
TL;DR: A large population-based and representative sample was used to cross-sectionally describe multiple chronic conditions and general health in transgender individuals in the U.S, finding that stroke, asthma, cardiac disease was particularly more prevalent in the gender-non-conforming group, whereas cancer and diabetes were more common among MTF transgender individuals.
Abstract: Summary: Transgender individuals are a growing marginalized and medically underserved population with unique health concerns. They suffer from multilevel stressors that negatively impact their health outcomes. Our study used a large population-based and representative sample to cross-sectionally describe multiple chronic conditions and general health in transgender individuals in the U.S. Learning Activity: LEARNING OBJECTIVES EXPANDED CONTENT OUTLINE By the end of the presentation, the audience will be able to summarize the health disparities in the transgender community. Transgender individuals are a growing medically underserved population with unique health concerns and needs which are generally not addressed; thus, leading to health disparities. The 2011 Institute of Medicine (IOM) report highlighted the gap in knowledge and scientific research to better understand and act on the health disparities that are grounded on a person’s racial or ethnic group, socioeconomic status (SES), gender, mental health, sexual orientation, and other concerns related to discrimination or exclusion. The Healthy People 2020 also recognized Lesbian, Gay, Bisexual, and Transgender (LGBT) individuals as an at-risk population. The transgender community is marginalized and suffers from multilevel stressors that negatively impact their health outcomes thus creating a health disparity that needs immediate attention. By the end of the presentation the audience will be able to identify the differences in sociodemographic characteristics, general health, and multiple chronic conditions among transgender individuals as compared to nontransgender individuals More transgender individuals reported never being married (22.3% vs. 14.9%) and separated (3.0% vs. 1.9%) whereas fewer transgender individuals were married (46.4% vs. 53.3%) as compared to nontransgender individuals. Also, fewer transgender individuals completed high school (13.4% vs. 6.9%) and graduated from a 4-year college (23.0% vs. 38.8%). Similarly, transgender individuals reported higher rates of unemployment (6.2% vs. 3.9%) and inability to work (11.3% vs. 6.6%) with less likelihood of earning $75,000 or more (24.4% vs. 34.3%). Transgender individuals also had lower prevalence of having health insurance (10.6% vs. 6.5%). Comparing transgender and nontransgender general health rating showed that more nontransgender individuals rated their health as “very good” or “excellent” ( 51.4% vs 42.0%) while more transgender individuals rated their health as “fair” or “poor” (24.2% vs. 17.7%). Diabetes (17.2 % in transgender vs. 13.8% in non-transgender, p=0.007) cardiac disease (11.6% vs. 8.6%, p=0.0042), and stroke (6.4% vs. 4.1%, p=0.002) were significantly more prevalent in transgender individuals. In the opposite direction, the prevalence of cancer (12.7% vs. 17.6%, p=0.0004) was more prevalent in nontransgender individuals. The prevalence of hypertension, hypercholesterolemia, asthma, arthritis and kidney disease were similar. By the end of the presentation, the audience will be able to discuss the differences in sociodemographic characteristics, general health, and multiple chronic conditions within the transgender groups (i.e., male-to-female, female-to-male, and gender nonconforming Examining the differences among the transgender groups, stroke, asthma, cardiac disease was particularly more prevalent in the gender-non-conforming group, whereas cancer and diabetes were more common among MTF transgender individuals. Among the transgender groups, MTF transgender (aOR=1.38, 95%CI: 1.096, 1.739, had greater odds for hypertension. Also, MTF transgender (aOR=1.56 ,95%CI: 1.11-2.19), and gender non-conforming, aOR=2.26, (95%CI: 1.423.62) had greater odds for cardiac disease. On the other hand, MTF transgender had significantly lower odds for asthma (aOR=0.54, 95%CI: 0.37, 0.80). By the end of the presentation, the audience will be able to identify the differences in sociodemographic characteristics and general health among transgender individuals with zero, one, and two or more chronic conditions Nine chronic conditions were examined in this study. There was at least one transgender and nontransgender individual reported each of the nine conditions. Around half the sample reported two or more chronic conditions and only 27% of the sample reported only one chronic condition. There were no differences in the number of unique chronic conditions between transgender and nontransgender individuals. By the end of the presentation, the audience will be able to identify the significance of healthcare providers and future research to understand, examine, and enhance the health of transgender individuals Our study used a large population-based and representative sample to cross-sectionally describe multiple chronic conditions and general health in transgender individuals in the U.S. The findings recognize that transgender individuals have a higher risk of chronic conditions such as diabetes, cardiac disease, and stroke. However, within the transgender community, there are additional layers of differences in the risks and likelihoods of chronic conditions where MTF and gender nonconforming individuals are at a higher risk for chronic conditions such as hypertension, cardiac disease, and asthma. The findings also highlight the increased burden of two or more chronic conditions. These results shed light on the health disparities facing the transgender community and ascertains the need for transgender-specific research and interventions to prevent and manage chronic diseases. These findings pave the way for nurses and other healthcare providers to be cognizant of the unique disease profiles to design and implement studies that prevent and better manage chronic conditions in transgender individuals.