Analysis of the epidemiological trends of Tuberculosis in China from 2000 to 2021 based on the joinpoint regression model.
Epidemiological
Joinpoint
Time trends
Tuberculosis
Journal
BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551
Informations de publication
Date de publication:
30 Oct 2024
30 Oct 2024
Historique:
received:
07
06
2024
accepted:
25
10
2024
medline:
31
10
2024
pubmed:
31
10
2024
entrez:
31
10
2024
Statut:
epublish
Résumé
China is ranked third globally in terms of burden and has a moderately high to high prevalence of tuberculosis (TB). This study meticulously investigated the notification rates of TB and assessed the epidemic in China from 2000 to 2021. The aim of the study was to provide robust supporting data that is crucial for enhancing TB prevention and control strategies. Extensive data regarding TB notification rates in China between 2000 and 2021 was collected. The joinpoint regression model was subsequently utilized to assess the temporal trends in the notification rates of TB, which were analyzed through the annual percentage change (APC) and the average annual percentage change (AAPC). During the study period (2000-2021), the standardized notification rates of TB in China ranged from 38.89/100,000 to 101.15/100,000, with a significant annual average decrease of 4.43% (P < 0.05). Before the COVID-19 pandemic, a marked acceleration in this decline was observed from 2006 to 2015, with an APC of 4.62% (P < 0.05). Stratified by age and sex, the age group with the most significant annual decline in overall standardized notification rates of TB among males in China was < 15 years old, followed by 55-64 years old, and the group with the least decrease was 25-44 years old. Similarly, the age group with the most significant annual decline in standardized notification rates of TB among females was < 15 years old. The epidemic of TB in China exhibited a downward trajectory between 2000 and 2021. However, it is imperative to prioritize the attention given to males and older adults, and to promote specific and effective prevention and control strategies for these populations.
Sections du résumé
BACKGROUND
BACKGROUND
China is ranked third globally in terms of burden and has a moderately high to high prevalence of tuberculosis (TB). This study meticulously investigated the notification rates of TB and assessed the epidemic in China from 2000 to 2021. The aim of the study was to provide robust supporting data that is crucial for enhancing TB prevention and control strategies.
METHODS
METHODS
Extensive data regarding TB notification rates in China between 2000 and 2021 was collected. The joinpoint regression model was subsequently utilized to assess the temporal trends in the notification rates of TB, which were analyzed through the annual percentage change (APC) and the average annual percentage change (AAPC).
RESULTS
RESULTS
During the study period (2000-2021), the standardized notification rates of TB in China ranged from 38.89/100,000 to 101.15/100,000, with a significant annual average decrease of 4.43% (P < 0.05). Before the COVID-19 pandemic, a marked acceleration in this decline was observed from 2006 to 2015, with an APC of 4.62% (P < 0.05). Stratified by age and sex, the age group with the most significant annual decline in overall standardized notification rates of TB among males in China was < 15 years old, followed by 55-64 years old, and the group with the least decrease was 25-44 years old. Similarly, the age group with the most significant annual decline in standardized notification rates of TB among females was < 15 years old.
CONCLUSIONS
CONCLUSIONS
The epidemic of TB in China exhibited a downward trajectory between 2000 and 2021. However, it is imperative to prioritize the attention given to males and older adults, and to promote specific and effective prevention and control strategies for these populations.
Identifiants
pubmed: 39478490
doi: 10.1186/s12879-024-10126-4
pii: 10.1186/s12879-024-10126-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1223Informations de copyright
© 2024. The Author(s).
Références
Mathema B, Andrews JR, Cohen T et al. Drivers of Tuberculosis Transmission[J]. The Journal of infectious diseases, 2017;216(suppl_6):S644–53.
Ministry of Health of the People’s Republic of China, Compilation of data from the National Epidemiological Sampling Survey of Tuberculosis in 1979;1981.
Ministry of Health of the People’s Republic of China, Compilation of data from the National Epidemiological Sampling Survey of Tuberculosis in 1984–1985, 1988.
Ministry of Health of the People’s Republic of China, Compilation of data from the National Epidemiological Sampling Survey of Tuberculosis in 1990;1992.
Ministry of Health of the People’s Republic of China. Compilation of data from the National Epidemiological Sampling Survey of Tuberculosis in 2000. People’s Medical Publishing House; 2003.
Yu Jj X, Dl, Wang Y. Compilation of data from the fifth national sampling survey of tuberculosis epidemiology. Beijing Union Medical University; 2011.
WHO. Global tuberculosis report 2023; 2023b;2023/11/30.
WHO. Status update: Reaching the targets in the political declaration of the United Nations General Assembly High-level Meeting on the fight against tuberculosis; 2023a.
Kim HJ, Fay MP, Feuer EJ, et al. Permutation tests for joinpoint regression with applications to cancer rates[J]. Stat Med. 2000;19(3):335–51.
doi: 10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z
pubmed: 10649300
Li Huizhang D. Application of Joinpoint regression model in cancer epidemiological time trend analysis. Chin J Prev Med. 2020;54:908–12.
Division of Cancer Control and Population Sciences, National Cancer Institute. Weighted BIC (WBIC) [OL]. https://surveillance.cancer.gov/help/joinpoint/setting-parameters/method-and-parameters-tab/model-selection-method/weighted-bic-wbic . 2024-9-10.
Preuc C, Humayun M, Yang Z. Varied trends of tuberculosis and HIV dual epidemics among different countries during 2000–2020: lessons from an ecological time-trend study of 9 countries[J]. Infect Dis (Lond) 2023;55(8):567–75.
Ding C, Hu M, Shangguan Y et al. Epidemic Trends in High Tuberculosis Burden Countries during the last three decades and feasibility of achieving the global targets at the Country Level[J]. Front Med (Lausanne), 2022;9:798465.
General Office of the State Council. Notice of the General Office of the State Council on the Issuance of the National Tuberculosis Control Regulations (2011–2015); 2011.
Ministry Of Health. Ministry of Health Issues the National Tuberculosis Control Plan for 2006–2010; 2006.
China Gates Tuberculosis Project Office. Phase I of the Tuberculosis Control Cooperation Project between the Ministry of Health of China and the Gates Foundation achieves outstanding results. Phase II Announced to Start in Beijing; 2012.
China CDC. WS 288–2017 the diagnosis of Tuberculosis[EB/OL]. 2021/2021-12-29[2024-7-24].
World Health Organization. Xpert MTB/RIF assay for the diagnosis of pulmonary and extrapulmonary TB in adults and children: policy update[M]. Geneva: World Health Organization; 2013.
Sachdeva KS, Raizada N, Sreenivas A, et al. Use of Xpert MTB/RIF in Decentralized Public Health settings and its Effect on Pulmonary TB and DR-TB Case finding in India. PLoS ONE. 2015;10(5):e0126065.
doi: 10.1371/journal.pone.0126065
pubmed: 25996389
pmcid: 4440647
Kubjane M, Cornell M, Osman M, Boulle A, Johnson LF. Drivers of sex differences in the South African adult tuberculosis incidence and mortality trends, 1990–2019. Sci Rep-Uk. 2023;13:9487.
doi: 10.1038/s41598-023-36432-6
Dabitao D, Bishai WR. Sex and Gender Differences in Tuberculosis Pathogenesis and treatment Outcomes[J]. Curr Top Microbiol Immunol. 2023;441:139–83.
pubmed: 37695428
Horton KC, MacPherson P, Houben RM, White RG, Corbett EL. Sex differences in tuberculosis burden and notifications in low- and middle-income countries: a systematic review and meta-analysis[J]. PLoS Med. 2016;13:e1002119.
doi: 10.1371/journal.pmed.1002119
pubmed: 27598345
pmcid: 5012571
Nhamoyebonde S, Leslie A. Biological differences between the sexes and susceptibility to tuberculosis. J Infect Dis. 2014;209(Suppl 3):S100–6.
doi: 10.1093/infdis/jiu147
pubmed: 24966189
WHO. Tuberculosis and tobacco. Geneva: Switzerland; 2009.
Amere GA, Nayak P, Salindri AD, Narayan KMV, Magee MJ. Contribution of smoking to tuberculosis incidence and mortality in High-Tuberculosis-Burden countries. Am J Epidemiol. 2018;187:1846–55.
doi: 10.1093/aje/kwy081
pubmed: 29635332
pmcid: 6888026
Corleis B, Tzouanas CN, Wadsworth MN, et al. Tobacco smoke exposure recruits inflammatory airspace monocytes that establish permissive lung niches for Mycobacterium tuberculosis[J]. Sci Transl Med. 2023;15(725):g3451.
doi: 10.1126/scitranslmed.adg3451
Lönnroth K, Williams BG, Stadlin S, Jaramillo E, Dye C. Alcohol use as a risk factor for tuberculosis - a systematic review. BMC Public Health. 2008;8:289.
doi: 10.1186/1471-2458-8-289
pubmed: 18702821
pmcid: 2533327
Wigger GW, Bouton TC, Jacobson KR, et al. The impact of Alcohol Use Disorder on Tuberculosis: a review of the epidemiology and potential immunologic Mechanisms[J]. Front Immunol. 2022;13:864817.
doi: 10.3389/fimmu.2022.864817
pubmed: 35432348
pmcid: 9009367
Hochberg NS, Horsburgh CJ. Prevention of Tuberculosis in older adults in the United States: obstacles and opportunities. Clin Infect Dis. 2013;56:1240–7.
doi: 10.1093/cid/cit027
pubmed: 23362286
pmcid: 3693488
Wang L, Peng W, Zhao Z et al. Prevalence and treatment of diabetes in China, 2013–2018[J]. JAMA: J Am Med Association 2021;326(24):2498–506.
Gao L, Lu W, Bai L et al. Latent tuberculosis infection in rural China: baseline results of a population-based, multicentre, prospective cohort study[J]. Lancet Infect Dis 2015;15(3):310–9.
Rao M, Ippolito G, Mfinanga S, et al. Latent TB infection (LTBI) - Mycobacterium tuberculosis pathogenesis and the dynamics of the granuloma battleground[J]. Int J Infect Dis. 2019;80S:S58–61.
doi: 10.1016/j.ijid.2019.02.035
pubmed: 30822547
Hu Z, Liu K, Zhou M, et al. Mass Tuberculosis Screening among the Elderly: a Population-based study in a Well-Confined, Rural County in Eastern China[J]. Clin Infect Dis. 2023;77(10):1468–75.
doi: 10.1093/cid/ciad438
pubmed: 37506258
pmcid: 10654880
Geneva World Health Organization. WHO consolidated guidelines on tuberculosis. Module 3: diagnosis – rapid diagnostics for tuberculosis detection[EB/OL]. 2021.