TY - JOUR
T1 - The global burden of tuberculosis
T2 - results from the Global Burden of Disease Study 2015
AU - GBD Tuberculosis Collaborators
AU - Kyu, Hmwe H.
AU - Maddison, Emilie R.
AU - Henry, Nathaniel J.
AU - Mumford, John Everett
AU - Barber, Ryan
AU - Shields, Chloe
AU - Brown, Jonathan C.
AU - Nguyen, Grant
AU - Carter, Austin
AU - Wolock, Timothy M.
AU - Wang, Haidong
AU - Liu, Patrick Y.
AU - Reitsma, Marissa
AU - Ross, Jennifer M.
AU - Abajobir, Amanuel Alemu
AU - Abate, Kalkidan Hassen
AU - Abbas, Kaja
AU - Abera, Mubarek
AU - Abera, Semaw Ferede
AU - Hareri, Habtamu Abera
AU - Ahmed, Muktar
AU - Alene, Kefyalew Addis
AU - Alvis-Guzman, Nelson
AU - Amo-Adjei, Joshua
AU - Andrews, Jason
AU - Ansari, Hossein
AU - Antonio, Carl Abelardo
AU - Anwari, Palwasha
AU - Asayesh, Hamid
AU - Atey, Tesfay Mehari
AU - Atre, Sachin
AU - Barac, Aleksandra
AU - Beardsley, Justin
AU - Bedi, Neeraj
AU - Bensenor, Isabela
AU - Beyene, Addisu Shunu
AU - Butt, Zahid Ahmad
AU - Cardona, Pere Joan
AU - Christopher, Devasahayam J.
AU - Dandona, Lalit
AU - Dandona, Rakhi
AU - Deribe, Kebede
AU - Deribew, Amare
AU - Ehrenkranz, Rebecca
AU - El Sayed Zaki, Maysaa
AU - Endries, Aman
AU - Feyissa, Tesfaye R.
AU - Fischer, Florian
AU - Gai, Ruoyan
AU - Garcia-Basteiro, Alberto L.
AU - Gebrehiwot, Tsegaye Tewelde
AU - Gesesew, Hailay
AU - Getahun, Belete
AU - Gona, Philimon
AU - Goodridge, Amador
AU - Gugnani, Harish
AU - Haghparast-Bidgoli, Hassan
AU - Hailu, Gessessew Bugssa
AU - Hassen, Hamid Yimam
AU - Hilawe, Esayas
AU - Horita, Nobuyuki
AU - Jacobsen, Kathryn H.
AU - Jonas, Jost B.
AU - Kasaeian, Amir
AU - Sano Kedir, Muktar
AU - Kemmer, Laura
AU - Khader, Yousef
AU - Khan, Ejaz
AU - Khang, Young Ho
AU - Khoja, Abdullah T.
AU - Kim, Yun Jin
AU - Koul, Parvaiz
AU - Koyanagi, Ai
AU - Krohn, Kristopher J.
AU - Anil Kumar, G.
AU - Kutz, Michael
AU - Lodha, Rakesh
AU - Magdy Abd El Razek, Hassan
AU - Majdzadeh, Reza
AU - Manyazewal, Tsegahun
AU - Memish, Ziad
AU - Mendoza, Walter
AU - Mezgebe, Haftay Berhane
AU - Mohammed, Shafiu
AU - Ogbo, Felix Akpojene
AU - Oh, In Hwan
AU - Oren, Eyal
AU - Osgood-Zimmerman, Aaron
AU - Pereira, David
AU - Plass, Dietrich
AU - Pourmalek, Farshad
AU - Qorbani, Mostafa
AU - Rafay, Anwar
AU - Rahman, Mahfuzar
AU - Rai, Rajesh Kumar
AU - Rao, Puja C.
AU - Ray, Sarah E.
AU - Reiner, Robert
AU - Reinig, Nickolas
AU - Safiri, Saeid
AU - Salomon, Joshua A.
AU - Sandar, Logan
AU - Sartorius, Benn
AU - Shamsizadeh, Morteza
AU - Shey, Muki
AU - Markos Shifti, Desalegn
AU - Shore, Hirbo
AU - Singh, Jasvinder
AU - Sreeramareddy, Chandrashekhar T.
AU - Swaminathan, Soumya
AU - Swartz, Scott J.
AU - Tadese, Fentaw
AU - Tedla, Bemnet Amare
AU - Tegegne, Balewgizie Sileshi
AU - Tessema, Belay
AU - Topor-Madry, Roman
AU - Ukwaja, Kingsley Nnanna
AU - Uthman, Olalekan A.
AU - Vlassov, Vasiliy
AU - Vollset, Stein Emil
AU - Wakayo, Tolassa
AU - Weldegebreal, Solomon
AU - Westerman, Ronny
AU - Workicho, Abdulhalik
AU - Yonemoto, Naohiro
AU - Yoon, Seok Jun
AU - Yotebieng, Marcel
AU - Naghavi, Mohsen
AU - Hay, Simon I.
AU - Vos, Theo
AU - Murray, Christopher J.L.
N1 - Copyright © The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license.
PY - 2018/3
Y1 - 2018/3
N2 - 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.
AB - 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.
KW - Global Burden of Disease Study 2015
KW - results
KW - tuberculosis
KW - eradication
KW - infectious diseases
UR - http://www.scopus.com/inward/record.url?scp=85044391821&partnerID=8YFLogxK
U2 - 10.1016/S1473-3099(17)30703-X
DO - 10.1016/S1473-3099(17)30703-X
M3 - Article
C2 - 29223583
AN - SCOPUS:85044391821
SN - 1473-3099
VL - 18
SP - 261
EP - 284
JO - The Lancet Infectious Diseases
JF - The Lancet Infectious Diseases
IS - 3
ER -