TY - JOUR
T1 - Global, regional, and national burden of tuberculosis, 1990–2016 : results from the Global Burden of Diseases, Injuries, and Risk Factors 2016 Study
AU - GBD Tuberculosis, Tuberculosis
AU - Kyu, Hmwe Hmwe
AU - Maddison, Emilie R.
AU - Henry, Nathaniel J.
AU - Ledesma, Jorge R.
AU - Wiens, Kirsten E.
AU - Reiner, Robert Jr.
AU - Biehl, Molly H.
AU - Shields, Chloe
AU - Osgood-Zimmerman, Aaron
AU - Ross, Jennifer M.
AU - Carter, Austin
AU - Frank, Tahvi D.
AU - Wang, Haidong
AU - Srinivasan, Vinay
AU - Abebe, Zegeye
AU - Agarwal, Sanjay Kumar
AU - Alahdab, Fares
AU - Alene, Kefyalew Addis
AU - Ali, Beriwan Abdulqadir
AU - Alvis-Guzman, Nelson
AU - Andrews, Jason R.
AU - Antonio, Carl Abelardo T.
AU - Atique, Suleman
AU - Atre, Sachin R.
AU - Awasthi, Ashish
AU - Ayele, Henok Tadesse
AU - Badali, Hamid
AU - Badawi, Alaa
AU - Barac, Aleksandra
AU - Bedi, Neeraj
AU - Behzadifar, Masoud
AU - Behzadifar, Meysam
AU - Bekele, Bayu Begashaw
AU - Belay, Saba Abraham
AU - Bensenor, Isabela M.
AU - Butt, Zahid A.
AU - Carvalho, Felix
AU - Cercy, Kelly
AU - Christopher, Devasahayam J.
AU - Daba, Alemneh Kabeta
AU - Dandona, Lalit
AU - Dandona, Rakhi
AU - Daryani, Ahmad
AU - Demeke, Feleke Mekonnen
AU - Deribe, Kebede
AU - Dharmaratne, Samath Dhamminda
AU - Doku, David Teye
AU - Dubey, Manisha
AU - Edessa, Dumessa
AU - El-Khatib, Ziad
AU - Enany, Shymaa
AU - Fernandes, Eduarda
AU - Fischer, Florian
AU - Garcia-Basteiro, Alberto L.
AU - Gebre, Abadi Kahsu
AU - Gebregergs, Gebremedhin Berhe
AU - Gebremichael, Teklu Gebrehiwo
AU - Gelano, Tilayie Feto
AU - Geremew, Demeke
AU - Gona, Philimon N.
AU - Goodridge, Amador
AU - Gupta, Rahul
AU - Bidgoli, Hassan Haghparast
AU - Hailu, Gessessew Bugssa
AU - Hassen, Hamid Yiman
AU - Hedayati, Mohammad T. Tadesse
AU - Henok, Andualem
AU - Hostiuc, Sorin
AU - Hussen, Mamusha Aman
AU - Ilesanmi, Olayinka Stephen
AU - Irvani, Seyed Sina Naghibi
AU - Jacobsen, Kathryn H.
AU - Johnson, Sarah C.
AU - Jonas, Jost B.
AU - Kahsay, Amaha
AU - Kant, Surya
AU - Kasaeian, Amir
AU - Kassa, Tesfaye Dessale
AU - Khader, Yousef Saleh
AU - Khafaie, Morteza Abdullatif
AU - Khalil, Ibrahim
AU - Khan, Ejaz Ahmad
AU - Khang, Young-Ho
AU - Kim, Yun Jin
AU - Kochhar, Sonali
AU - Koyanagi, Ai
AU - Krohn, Kristopher J.
AU - Kumar, G. Anil
AU - Lakew, Ayenew Molla
AU - Leshargie, Cheru Tesema
AU - Lodha, Rakesh
AU - Macarayan, Erlyn Rachelle King
AU - Majdzadeh, Reza
AU - Martins-Melo, Francisco Rogerlandio
AU - Melese, Addisu
AU - Memish, Ziad A.
AU - Mendoza, Walter
AU - Mengistu, Desalegn Tadese
AU - Mengistu, Getnet
AU - Mestrovic, Tomislav
AU - Moazen, Babak
AU - Mohammad, Karzan Abdulmuhsin
AU - Mohammed, Shafiu
AU - Mokdad, Ali H.
AU - Moosazadeh, Mahmood
AU - Mousavi, Seyyed Meysam
AU - Mustafa, Ghulam
AU - Nachega, Jean B.
AU - Nguyen, Long Hoang
AU - Nguyen, Son Hoang
AU - Nguyen, Trang Huyen
AU - Ningrum, Dina Nur Anggraini
AU - Nirayo, Yirga Legesse
AU - Nong, Vuong Minh
AU - Ofori-Asenso, Richard
AU - Ogbo, Felix Akpojene
AU - et al., null
PY - 2018
Y1 - 2018
N2 - Background: Although a preventable and treatable disease, tuberculosis causes more than a million deaths each year. As countries work towards achieving the Sustainable Development Goal (SDG) target to end the tuberculosis epidemic by 2030, robust assessments of the levels and trends of the burden of tuberculosis are crucial to inform policy and programme decision making. We assessed the levels and trends in the fatal and non-fatal burden of tuberculosis by drug resistance and HIV status for 195 countries and territories from 1990 to 2016. Methods: We analysed 15 943 site-years of vital registration data, 1710 site-years of verbal autopsy data, 764 site-years of sample-based vital registration data, and 361 site-years of mortality surveillance data to estimate mortality due to tuberculosis using the Cause of Death Ensemble model. We analysed all available data sources, including annual case notifications, prevalence surveys, population-based tuberculin surveys, and estimated tuberculosis 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 the burden of tuberculosis differed from the burden predicted by the Socio-demographic Index (SDI), a composite indicator of income per capita, average years of schooling, and total fertility rate. Findings: Globally in 2016, among HIV-negative individuals, the number of incident cases of tuberculosis was 9÷02 million (95% uncertainty interval [UI] 8÷05–10÷16) and the number of tuberculosis deaths was 1÷21 million (1÷16–1÷27). Among HIV-positive individuals, the number of incident cases was 1÷40 million (1÷01–1÷89) and the number of tuberculosis deaths was 0÷24 million (0÷16–0÷31). Globally, among HIV-negative individuals the age-standardised incidence of tuberculosis decreased annually at a slower rate (–1÷3% [–1÷5 to −1÷2]) than mortality did (–4÷5% [–5÷0 to −4÷1]) from 2006 to 2016. Among HIV-positive individuals during the same period, the rate of change in annualised age-standardised incidence was −4÷0% (–4÷5 to −3÷7) and mortality was −8÷9% (–9÷5 to −8÷4). Several regions had higher rates of age-standardised incidence and mortality than expected on the basis of their SDI levels in 2016. For drug-susceptible tuberculosis, the highest observed-to-expected ratios were in southern sub-Saharan Africa (13÷7 for incidence and 14÷9 for mortality), and the lowest ratios were in high-income North America (0÷4 for incidence) and Oceania (0÷3 for mortality). For multidrug-resistant tuberculosis, eastern Europe had the highest observed-to-expected ratios (67÷3 for incidence and 73÷0 for mortality), and high-income North America had the lowest ratios (0÷4 for incidence and 0÷5 for mortality). Interpretation: If current trends in tuberculosis incidence continue, few countries are likely to meet the SDG target to end the tuberculosis epidemic by 2030. Progress needs to be accelerated by improving the quality of and access to tuberculosis diagnosis and care, by developing new tools, scaling up interventions to prevent risk factors for tuberculosis, and integrating control programmes for tuberculosis and HIV. Funding: Bill & Melinda Gates Foundation.
AB - Background: Although a preventable and treatable disease, tuberculosis causes more than a million deaths each year. As countries work towards achieving the Sustainable Development Goal (SDG) target to end the tuberculosis epidemic by 2030, robust assessments of the levels and trends of the burden of tuberculosis are crucial to inform policy and programme decision making. We assessed the levels and trends in the fatal and non-fatal burden of tuberculosis by drug resistance and HIV status for 195 countries and territories from 1990 to 2016. Methods: We analysed 15 943 site-years of vital registration data, 1710 site-years of verbal autopsy data, 764 site-years of sample-based vital registration data, and 361 site-years of mortality surveillance data to estimate mortality due to tuberculosis using the Cause of Death Ensemble model. We analysed all available data sources, including annual case notifications, prevalence surveys, population-based tuberculin surveys, and estimated tuberculosis 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 the burden of tuberculosis differed from the burden predicted by the Socio-demographic Index (SDI), a composite indicator of income per capita, average years of schooling, and total fertility rate. Findings: Globally in 2016, among HIV-negative individuals, the number of incident cases of tuberculosis was 9÷02 million (95% uncertainty interval [UI] 8÷05–10÷16) and the number of tuberculosis deaths was 1÷21 million (1÷16–1÷27). Among HIV-positive individuals, the number of incident cases was 1÷40 million (1÷01–1÷89) and the number of tuberculosis deaths was 0÷24 million (0÷16–0÷31). Globally, among HIV-negative individuals the age-standardised incidence of tuberculosis decreased annually at a slower rate (–1÷3% [–1÷5 to −1÷2]) than mortality did (–4÷5% [–5÷0 to −4÷1]) from 2006 to 2016. Among HIV-positive individuals during the same period, the rate of change in annualised age-standardised incidence was −4÷0% (–4÷5 to −3÷7) and mortality was −8÷9% (–9÷5 to −8÷4). Several regions had higher rates of age-standardised incidence and mortality than expected on the basis of their SDI levels in 2016. For drug-susceptible tuberculosis, the highest observed-to-expected ratios were in southern sub-Saharan Africa (13÷7 for incidence and 14÷9 for mortality), and the lowest ratios were in high-income North America (0÷4 for incidence) and Oceania (0÷3 for mortality). For multidrug-resistant tuberculosis, eastern Europe had the highest observed-to-expected ratios (67÷3 for incidence and 73÷0 for mortality), and high-income North America had the lowest ratios (0÷4 for incidence and 0÷5 for mortality). Interpretation: If current trends in tuberculosis incidence continue, few countries are likely to meet the SDG target to end the tuberculosis epidemic by 2030. Progress needs to be accelerated by improving the quality of and access to tuberculosis diagnosis and care, by developing new tools, scaling up interventions to prevent risk factors for tuberculosis, and integrating control programmes for tuberculosis and HIV. Funding: Bill & Melinda Gates Foundation.
KW - World health
KW - epidemics
KW - health surveys
KW - risk factors
KW - tuberculosis
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:50530
U2 - 10.1016/S1473-3099(18)30625-X
DO - 10.1016/S1473-3099(18)30625-X
M3 - Article
SN - 1474-4457
SN - 1473-3099
VL - 18
SP - 1329
EP - 1349
JO - The Lancet Infectious Diseases
JF - The Lancet Infectious Diseases
IS - 12
ER -