ZHANG Yuqi, WANG Zhiyong, LI Zongyu, GAO Wenlong, LI Ming, LUO Qiuxia, XIANG Yuanyuan, BAO Kai. Prevalence and influencing factors of multi-drug resistance among 1 536 tuberculosis patients in Lanzhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(7): 854-857. doi: 10.16462/j.cnki.zhjbkz.2023.07.019
Citation:
ZHANG Yuqi, WANG Zhiyong, LI Zongyu, GAO Wenlong, LI Ming, LUO Qiuxia, XIANG Yuanyuan, BAO Kai. Prevalence and influencing factors of multi-drug resistance among 1 536 tuberculosis patients in Lanzhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(7): 854-857. doi: 10.16462/j.cnki.zhjbkz.2023.07.019
ZHANG Yuqi, WANG Zhiyong, LI Zongyu, GAO Wenlong, LI Ming, LUO Qiuxia, XIANG Yuanyuan, BAO Kai. Prevalence and influencing factors of multi-drug resistance among 1 536 tuberculosis patients in Lanzhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(7): 854-857. doi: 10.16462/j.cnki.zhjbkz.2023.07.019
Citation:
ZHANG Yuqi, WANG Zhiyong, LI Zongyu, GAO Wenlong, LI Ming, LUO Qiuxia, XIANG Yuanyuan, BAO Kai. Prevalence and influencing factors of multi-drug resistance among 1 536 tuberculosis patients in Lanzhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(7): 854-857. doi: 10.16462/j.cnki.zhjbkz.2023.07.019
Objective The goal of this research was to investigate the prevalence of multi-drug resistance and its influencing factors in 1 536 tuberculosis patients.Methods A total of 1 536 confirmed tuberculosis patients were recruited in Lanzhou from 2018 to 2020, using the Tuberculosis Management Information System. Chi-square test and multivariate logistic regression analysis were used to explore the influencing factors of multi-drug resistance.Results Among the 1 536 tuberculosis patients, there were 445 (29.0%) cases presented with drug-resistant tuberculosis and 327 (21.3%) cases with multidrug-resistant tuberculosis. The results of univariate analysis showed that there were significant differences in multidrug-resistant status among patients with different genders, ages, nationalities, occupations, household registration types, and registered classifications. Multivariate logistic regression analysis showed that those working as farmers, herdsmen, workers (OR=2.95, 95% CI: 1.32-6.59, P=0.008) and other occupations (OR=3.12, 95% CI: 1.41-6.88, P=0.005), as well as patients classified as relapse (OR=6.16, 95% CI: 3.66-10.39, P < 0.001), retreatment failure (OR=11.93, 95% CI: 4.61-30.88, P < 0.001) and initial treatment failure (OR=14.10, 95% CI: 7.74-25.69, P < 0.001) were more likely to develop multi-drug resistance. Converserly, patients registered as residing in Lanzhou were less likely to develop multi-drug resistance (OR=0.11, 95% CI: 0.08-0.16, P < 0.001).Conclusions The prevalence of MDR in tuberculosis patients in Lanzhou was found to be high. Occupations such as farmers, herdsmen, and workers, along with other occupations, non-Lanzhou household registration, and classifications of relapse, initial treatment failure, and retreatment failure were identified as major risk factors for developing MDR.
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