Email Alert | RSS

Chinese Journal of Antituberculosis ›› 2025, Vol. 47 ›› Issue (10): 1268-1278.doi: 10.19982/j.issn.1000-6621.20250237

• Original Articles • Previous Articles     Next Articles

Analysis of the factors influencing adherence and treatment outcomes among pulmonary tuberculosis patients with comorbidities in China from 2010 to 2023

Yan Tianxin1, Ma Wenbin2, Wang Jia1, Li Tao1, Zhang Hui1, Zhao Yanlin1(), Qu Yan1(), Luo Xiaofeng2()   

  1. 1National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China
    2School of Public Health, Lanzhou University, Lanzhou 730000, China
  • Received:2025-06-03 Online:2025-10-10 Published:2025-09-29
  • Contact: Zhao Yanlin, Email: zhaoyl@chinacdc.cn; Qu Yan, Email: quyan@chinacdc.cn; Luo Xiaofeng, Email: luoxiaof@lzu.edu.cn
  • Supported by:
    National Tuberculosis Control and Prevention Programme(2428)

Abstract:

Objective: To analyse the treatment adherence, treatment outcomes, and associated influencing factors among pulmonary tuberculosis (PTB) patients with comorbidities in China from 2010 to 2023 and provide a scientific basis for improving treatment effectiveness in these patients. Methods: Using a retrospective research method, medical records of PTB patients with single comorbidity registered between 2010 and 2023 was extracted from “China Tuberculosis Information Management System” subsystem of the “China Center for Disease Control and Prevention Information System”. The study excluded patients with duplicate registrations, incomplete treatment records, mycobacterial species identification indicating non-tuberculosis mycobacterial infections, and drug-resistant PTB cases other than rifampin resistance. Finally, a cohort of 339411 PTB patients with comorbidities was obtained. The incidence rates of non-adherence and unfavorable treatment outcomes were calculated. Multivariable logistic regression models were conducted to identify factors associated with treatment adherence and treatment outcomes. Results: The incidence rate of irregular medication adherence among PTB patients with comorbidities was 4.26% (14463/339411), while the incidence rate of unfavorable treatment outcomes was 9.86% (33456/339411). Multivariable logistic regression models revealed that male gender, occupations in commercial and other services, and other unspecified categories, passive healthcare-seeking behavior, co-infection with HIV/AIDS or other comorbidities, re-treatment status, bacteriologically positive results, self-medication practices, and the diagnosis of drug-resistant PTB were all independent risk factors influencing treatment non-adherence (odds ratio (OR) with 95% confidence intervals (CI): 1.153 (1.107-1.201), 1.269 (1.102-1.455), 1.135 (1.086-1.186), 1.214 (1.166-1.265), 1.568 (1.419-1.730), 1.173 (1.130-1.217), 1.261 (1.198-1.327), 1.138 (1.096-1.181), 1.440 (1.390-1.492), and 4.100 (3.811-4.409), respectively). Additionally, male gender, passive healthcare-seeking behavior, re-treatment status, positive etiological detection, self-medication, non-use of fixed-dose combination (FDC) drugs, a diagnosis of drug-resistant PTB, and low treatment adherence were identified as independent risk factors for unfavorable treatment outcomes (OR (95%CI): 1.264 (1.224-1.306), 1.076 (1.043-1.111), 1.128 (1.083-1.173), 1.585 (1.531-1.642), 1.057 (1.027-1.088), 1.046 (1.017-1.075), 23.811 (22.341-25.385), and 28.468 (27.329-29.659), respectively). Conclusion: The treatment adherence and treatment outcomes of patients with PTB complicated by other diseases in China are influenced by the co-existing related diseases, targeted measures should be developed by integrating an analysis of population characteristics and the types of comorbidities that influence treatment adherence and outcomes among PTB patients with comorbid conditions. Efforts should be strengthened to actively detect cases of male and public service personnel, and enhance precise treatment management for re-treated, bacteriologically positive patients, and individuals with drug resistant comorbidities. To encourage patients to complete their full course of treatment, such that it reduces unfavorable treatment outcomes and improve overall treatment efficacy and rehabilitation levels, convenient and intelligent medication management tools should be promoted.

Key words: Tuberculosis, pulmonary, Comorbidity, Treatment adherence, Treatment outcomes

CLC Number: