{"title":"[Analysis on adverse treatment outcome of rifampicin-resistant tuberculosis patients and influencing factors in 9 provinces in China, 2017-2021].","authors":"H J Sun, X Q Liu, W Su, T Li, Y L Zhao, W Chen","doi":"10.3760/cma.j.cn112338-20240702-00394","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> To analyze the incidence of adverse treatment outcome of rifampicin-resistant tuberculosis (RR-TB) patients and influencing factors in 9 provinces in China. <b>Methods:</b> The information about the basic characteristics, diagnosis and treatment of RR-TB patients registered from January 1, 2017 to December 31, 2021 in 9 provinces (Beijing, Jilin, Shanghai, Jiangsu, Zhejiang, Hubei, Henan, Yunnan and Guizhou) were collected from the tuberculosis information management sub-system of China Disease Control and Prevention Information System for a descriptive analysis, and the influencing factors of adverse treatment outcome were identified by binary logistic regression analysis. <b>Results:</b> In 18 204 RR-TB patients in this study a total of 6 852 had adverse treatment outcomes (37.64%). Treatment failure occurred in 1 031 patients, 1 272 patients died, 2 284 patients were lost to follow-up, and 2 265 patients were not evaluated. The results of multivariate logistic regression analysis showed that being man (a<i>OR</i>=1.54, 95%<i>CI</i>: 1.43-1.66), age ≥65 years (a<i>OR</i>=2.42, 95%<i>CI</i>: 2.20-2.67), being from other ethnic groups (a<i>OR</i>=1.18, 95%<i>CI</i>: 1.03-1.35), being farmer (a<i>OR</i>=1.22, 95%<i>CI</i>: 1.13-1.32), being retired with honours or being retired (a<i>OR</i>=1.16, 95%<i>CI</i>: 1.00-1.35) and being floating population (a<i>OR</i>=1.23, 95%<i>CI</i>: 1.13-1.34), re-treatment (a<i>OR</i>=1.33, 95%<i>CI</i>: 1.24-1.42), long-term treatment therapy (a<i>OR</i>=3.26, 95%<i>CI</i>: 2.52-4.23), living in central provinces (a<i>OR</i>=2.76, 95%<i>CI</i>: 2.55-2.99), living in western provinces (a<i>OR</i>=2.31, 95%<i>CI</i>: 2.08-2.57) were the influencing factors for adverse treatment outcome of RR-TB. <b>Conclusions:</b> The incidence of adverse outcomes in RR-TB patients in 9 provinces in China was higher from 2017 to 2021. There were many influencing factors associated with adverse treatment outcome in RR-TB patients, especially the area specific factors. The national tuberculosis control program should strengthen the follow-up and treatment management of RR-TB in men, the elderly, floating population, people in central and western provinces and other key groups, actively promote the short-term treatment program and improve the allocation of medical resources to reduce the influencing for adverse treatment outcomes in RR-TB patient.</p>","PeriodicalId":23968,"journal":{"name":"中华流行病学杂志","volume":"46 2","pages":"188-195"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华流行病学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112338-20240702-00394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To analyze the incidence of adverse treatment outcome of rifampicin-resistant tuberculosis (RR-TB) patients and influencing factors in 9 provinces in China. Methods: The information about the basic characteristics, diagnosis and treatment of RR-TB patients registered from January 1, 2017 to December 31, 2021 in 9 provinces (Beijing, Jilin, Shanghai, Jiangsu, Zhejiang, Hubei, Henan, Yunnan and Guizhou) were collected from the tuberculosis information management sub-system of China Disease Control and Prevention Information System for a descriptive analysis, and the influencing factors of adverse treatment outcome were identified by binary logistic regression analysis. Results: In 18 204 RR-TB patients in this study a total of 6 852 had adverse treatment outcomes (37.64%). Treatment failure occurred in 1 031 patients, 1 272 patients died, 2 284 patients were lost to follow-up, and 2 265 patients were not evaluated. The results of multivariate logistic regression analysis showed that being man (aOR=1.54, 95%CI: 1.43-1.66), age ≥65 years (aOR=2.42, 95%CI: 2.20-2.67), being from other ethnic groups (aOR=1.18, 95%CI: 1.03-1.35), being farmer (aOR=1.22, 95%CI: 1.13-1.32), being retired with honours or being retired (aOR=1.16, 95%CI: 1.00-1.35) and being floating population (aOR=1.23, 95%CI: 1.13-1.34), re-treatment (aOR=1.33, 95%CI: 1.24-1.42), long-term treatment therapy (aOR=3.26, 95%CI: 2.52-4.23), living in central provinces (aOR=2.76, 95%CI: 2.55-2.99), living in western provinces (aOR=2.31, 95%CI: 2.08-2.57) were the influencing factors for adverse treatment outcome of RR-TB. Conclusions: The incidence of adverse outcomes in RR-TB patients in 9 provinces in China was higher from 2017 to 2021. There were many influencing factors associated with adverse treatment outcome in RR-TB patients, especially the area specific factors. The national tuberculosis control program should strengthen the follow-up and treatment management of RR-TB in men, the elderly, floating population, people in central and western provinces and other key groups, actively promote the short-term treatment program and improve the allocation of medical resources to reduce the influencing for adverse treatment outcomes in RR-TB patient.
期刊介绍:
Chinese Journal of Epidemiology, established in 1981, is an advanced academic periodical in epidemiology and related disciplines in China, which, according to the principle of integrating theory with practice, mainly reports the major progress in epidemiological research. The columns of the journal include commentary, expert forum, original article, field investigation, disease surveillance, laboratory research, clinical epidemiology, basic theory or method and review, etc.
The journal is included by more than ten major biomedical databases and index systems worldwide, such as been indexed in Scopus, PubMed/MEDLINE, PubMed Central (PMC), Europe PubMed Central, Embase, Chemical Abstract, Chinese Science and Technology Paper and Citation Database (CSTPCD), Chinese core journal essentials overview, Chinese Science Citation Database (CSCD) core database, Chinese Biological Medical Disc (CBMdisc), and Chinese Medical Citation Index (CMCI), etc. It is one of the core academic journals and carefully selected core journals in preventive and basic medicine in China.