Epidemiological features and temporal trends of the co-infection between HIV and tuberculosis, 1990–2021: findings from the Global Burden of Disease Study 2021

Shun-Xian Zhang; Ji-Chun Wang; Jian Yang; Shan Lv; Lei Duan; Yan Lu; Li-Guang Tian; Mu-Xin Chen; Qin Liu; Fan-Na Wei; Xin-Yu Feng; Guo-Bing Yang; Yong-Jun Li; Yu Wang; Xiao-Jie Hu; Ming Yang; Zhen-Hui Lu; Shao-Yan Zhang; Shi-Zhu Li; Jin-Xin Zheng

doi:10.1186/s40249-024-01230-3

Infectious Diseases of Poverty (Aug 2024)

Epidemiological features and temporal trends of the co-infection between HIV and tuberculosis, 1990–2021: findings from the Global Burden of Disease Study 2021

Shun-Xian Zhang,
Ji-Chun Wang,
Jian Yang,
Shan Lv,
Lei Duan,
Yan Lu,
Li-Guang Tian,
Mu-Xin Chen,
Qin Liu,
Fan-Na Wei,
Xin-Yu Feng,
Guo-Bing Yang,
Yong-Jun Li,
Yu Wang,
Xiao-Jie Hu,
Ming Yang,
Zhen-Hui Lu,
Shao-Yan Zhang,
Shi-Zhu Li,
Jin-Xin Zheng

Affiliations

Shun-Xian Zhang: Longhua Hospital, Shanghai University of Traditional Chinese Medicine
Ji-Chun Wang: Department of Science and Technology, Chinese Center for Disease Control and Prevention, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Jian Yang: Department of Science and Technology, Chinese Center for Disease Control and Prevention, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Shan Lv: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Lei Duan: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Yan Lu: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Li-Guang Tian: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Mu-Xin Chen: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Qin Liu: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Fan-Na Wei: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Xin-Yu Feng: School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine
Guo-Bing Yang: Gansu Provincial Center for Disease Control and Prevention
Yong-Jun Li: Gansu Provincial Center for Disease Control and Prevention
Yu Wang: Longhua Hospital, Shanghai University of Traditional Chinese Medicine
Xiao-Jie Hu: Longhua Hospital, Shanghai University of Traditional Chinese Medicine
Ming Yang: Longhua Hospital, Shanghai University of Traditional Chinese Medicine
Zhen-Hui Lu: Longhua Hospital, Shanghai University of Traditional Chinese Medicine
Shao-Yan Zhang: Longhua Hospital, Shanghai University of Traditional Chinese Medicine
Shi-Zhu Li: National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases
Jin-Xin Zheng: School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine

DOI: https://doi.org/10.1186/s40249-024-01230-3
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 16

Abstract

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Abstract Background The co-infection of human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) and tuberculosis (TB) poses a significant clinical challenge and is a major global public health issue. This study aims to elucidate the disease burden of HIV-TB co-infection in global, regions and countries, providing critical information for policy decisions to curb the HIV-TB epidemic. Methods The ecological time-series study used data from the Global Burden of Disease (GBD) Study 2021. The data encompass the numbers of incidence, prevalence, mortality, and disability-adjusted life year (DALY), as well as age-standardized incidence rate (ASIR), prevalence rate (ASPR), mortality rate (ASMR), and DALY rate for HIV-infected drug-susceptible tuberculosis (HIV-DS-TB), HIV-infected multidrug-resistant tuberculosis (HIV-MDR-TB), and HIV-infected extensively drug-resistant tuberculosis (HIV-XDR-TB) from 1990 to 2021. from 1990 to 2021. The estimated annual percentage change (EAPC) of rates, with 95% confidence intervals (CIs), was calculated. Results In 2021, the global ASIR for HIV-DS-TB was 11.59 per 100,000 population (95% UI: 0.37–13.05 per 100,000 population), 0.55 per 100,000 population (95% UI: 0.38–0.81 per 100,000 population), for HIV-MDR-TB, and 0.02 per 100,000 population (95% UI: 0.01–0.03 per 100,000 population) for HIV-XDR-TB. The EAPC for the ASIR of HIV-MDR-TB and HIV-XDR-TB from 1990 to 2021 were 4.71 (95% CI: 1.92–7.59) and 13.63 (95% CI: 9.44–18.01), respectively. The global ASMR for HIV-DS-TB was 2.22 per 100,000 population (95% UI: 1.73–2.74 per 100,000 population), 0.21 per 100,000 population (95% UI: 0.09–0.39 per 100,000 population) for HIV-MDR-TB, and 0.01 per 100,000 population (95% UI: 0.00–0.03 per 100,000 population) for HIV-XDR-TB in 2021. The EAPC for the ASMR of HIV-MDR-TB and HIV-XDR-TB from 1990 to 2021 were 4.78 (95% CI: 1.32–8.32) and 10.00 (95% CI: 6.09–14.05), respectively. Conclusions The findings indicate that enhancing diagnostic and treatment strategies, strengthening healthcare infrastructure, increasing access to quality medical care, and improving public health education are essential to combat HIV-TB co-infection. Graphical Abstract

Published in Infectious Diseases of Poverty

ISSN: 2095-5162 (Print); 2049-9957 (Online)
Publisher: BMC
Country of publisher: United Kingdom
LCC subjects: Medicine: Internal medicine: Infectious and parasitic diseases; Medicine: Public aspects of medicine
Website: https://idpjournal.biomedcentral.com

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