Characteristics and risk factors of drug-resistant tuberculosis in Sichuan, China: An observational study
Han N, Yan L, Yuan M, Chen Z, Zeng Y, Tang H
Tropical medicine & international health : TM & IH · 2025-05
Abstract
Objectives This study aimed to determine the epidemiological characteristics of drug-resistant tuberculosis (DR-TB) and investigate the risk factors associated with multidrug-resistant tuberculosis (MDR-TB) in Sichuan, China. Methods The study involved 5180 clinical isolates collected from Sichuan since 2013, with non-tuberculous mycobacteria excluded. Drug susceptibility testing was conducted using four first-line anti-TB drugs, fluoroquinolones, and second-line injectable agents. Multivariable logistic regression analysis was used to assess risk factors for MDR-TB based on patients' treatment history, age, sex, ethnicity, health facility, living environment and human immunodeficiency virus (HIV) status. Results Among the 5180 participants, resistance was highest for isoniazid (23.59%), followed by rifampin (18.42%), streptomycin (18.42%) and ethambutol (2.47%). The prevalence of MDR-TB was 774 (14.94%) among all cases, with 575 (14.20%) in newly diagnosed tuberculosis (TB) patients and 199 (17.60%) in previously treated patients. Additionally, 17 (0.33%) patients were diagnosed with MDR-TB. Furthermore, urban living was identified as a protective factor against MDR-TB (odds ratio [OR] 0.80, 95% confidence interval [CI] 0.68-0.94, p = 0.004). Notably, individuals younger than 60 were more likely to develop MDR-TB, especially those aged 32-45 (OR 2.22, 95% CI 1.74-2.83, p Conclusions The study demonstrated that the prevalence of DR-TB among the study subjects exceeded the national level. Patients living in rural areas, those with a history of TB treatment, HIV-positive individuals, and younger patients were more likely to develop MDR-TB.
MeSH terms
- Humans
- Mycobacterium tuberculosis
- Tuberculosis, Multidrug-Resistant
- HIV Infections
- Antitubercular Agents
- Microbial Sensitivity Tests
- Prevalence
- Logistic Models
- Risk Factors
- Adolescent
- Adult
- Aged
- Middle Aged
- China
- Female
- Male
- Young Adult