People's Health Press
ISSN 2096-2738 CN 11-9370/R

Source Journal for Chinese Scientific and Technical Papers and Citations
Source Journal for Annual Report for Chinese Academic Journal Impact Factors(2022)
Indexed Journals in the Database of the Chemical Abstracts Service (CAS), USA
Indexed Journals in the Database of the Japan Science and Technology Agency (JST)

  • Official WeChat

  • Official Weibo

  • Official headlines

Electronic Journal of Emerging Infectious Diseases ›› 2024, Vol. 9 ›› Issue (5): 19-24.doi: 10.19871/j.cnki.xfcrbzz.2024.05.004

• Original Articles • Previous Articles     Next Articles

Analysis on epidemic characteristics and treatment effect of pulmonary tuberculosis in Chengdu from 2012 to 2022

Duan Xiaofei1, Wu Guihui2, Yang Jie1, Jiang Liangshuang1   

  1. 1. Major Infectious Diseases Management Department, Public Health Clinical Center of Chengdu, Sichuan Chengdu 610061, China;
    2. Tuberculosis Department,Public Health Clinical Center of Chengdu, Sichuan Chengdu 610061, China
  • Received:2024-05-11 Online:2024-10-31 Published:2024-12-11

Abstract: Objective To analyze the change trend of pulmonary tuberculosis patient registration and management and the influencing factors of treatment outcome in Chengdu, Sichuan Province, from 2012 to 2022, so as to lay a foundation for further formulating tuberculosis prevention and control strategies and measures in Chengdu. Method The data related to the registration and management of tuberculosis in Chengdu from 2012 to 2022 were collected through the "Tuberculosis Information Management System", a subsystem of the "China Disease Prevention and Control Information System". The change of the registration and management rate of tuberculosis from 2012 to 2022 was analyzed by the trend analysis of the Joinpoint regression model, and the influencing factors of the treatment outcome of tuberculosis patients were analyzed by the multi factor logistic regression analysis. Result From 2012 to 2022, a total of 69421 active tuberculosis patients were registered in Chengdu, with males, farmers, and middle-aged and young people as the main population, and with an average annual registration rate of 45.49/100 000. The overall registration management rate showed a downward trend, with an average annual decrease of 6.09% (AAPC=-6.09%, t=-9.37, P<0.001). The downward trend has statistical significance. The segmented results of Joinpoint regression model showed that the registration and management rate of pulmonary tuberculosis decreased by 7.75% year by year from 2012 to 2016, and the trend was statistically significant (APC=-7.75%, t=-11.53, P<0.001). The downward trend slowed down to 3.54% from 2017 to 2022 (APC=-3.54%, t=-2.76, P=0.03). There was no statistically significant increase in the registration and management rate of pathogen positive patients from 2012 to 2022 (AAPC=0.87%, t=0.79, P=0.43). However, from the segmented results, the registration and management rate of pathogen positive patients showed a downward trend from 2012 to 2016 and was statistically significant (APC=-9.67%, t=-4.76, P=0.003). But from 2017 to 2022, the registration and management rate of pathogen positive patients showed an upward trend and had statistical significance (APC=8.57%, t=7.20,P<0.001). The average annual registration and management rates for males and females are 62.25/100 000 and 31.03/100 000, respectively. The ratio of male to female registration and management rates is 2.01:1, with males having a higher rate than females (χ2=708.084, P<0.001). The patient composition is relatively high among young people aged 20 to 29 (22.12%) and farmers (44.10%). Univariate and multivariate regression analysis of treatment:Male, age, farmer, pathogen positive, and retreatment are important influencing factors on patient prognosis. Conclusion From 2012 to 2022, the registration and management of pulmonary tuberculosis in Chengdu showed a stable downward trend. Pathogenic positivity and re treatment increased the risk of adverse outcomes. The next step is to focus on strengthening the publicity, education, and screening efforts of males, students, and middle-aged and elderly populations; Strengthen the treatment and follow-up management of patients with positive and recurrent pathogens.

Key words: Tuberculosis, Epidemic characteristics, Treatment outcome, Influencing factors

CLC Number: