Abstract:

Objective: To understand the related influencing factors of treatment adverse outcomes for rifampicin sensitive pulmonary tuberculosis patients in Gansu Province. To provide scientific basis for effectively,in order to improve the rate of successful treatment for rifampicin sensitive pulmonary tuberculosis patients. Methods: A total of 20398 rifampicin sensitive pulmonary tuberculosis patients registered for treatment management in Gansu Province from 2018 to 2020 were collected, and a random effects logistic model was constructed to explore the relevant factors affecting the treatment adverse outcomes of rifampicin sensitive pulmonary tuberculosis patients. Results: Among the 20398 rifampicin sensitive pulmonary tuberculosis patients, 1407 had adverse treatment outcomes, the rate of adverse outcomes was 6.90% (1407/20398). The random effects logistic model showed that patients with male OR (95%CI)=1.273 (1.133-1.430), age 25-45 years old OR (95%CI)=1.501 (1.295-1.740), 46-60 years old OR (95%CI)=1.623 (1.372-1.920), more than 60 years old OR (95%CI)=2.272 (1.752-2.948), occupation with retired/housekeeping/catering/unemployed/others OR (95%CI)=1.587 (1.089-2.312), occupation with farmers, herdsmen, fishermen/migrant workers/long-distance drivers OR (95%CI)=1.532 (1.098-2.138), comorbidities OR (95%CI)=1.366 (1.031-1.811), positive etiological diagnosis OR (95%CI)=2.590 (2.271-2.953), critically ill OR (95%CI)=1.271 (1.009-1.600), retreatment OR (95%CI)=2.795 (2.300-3.398) were more likely to fail in treatment. Conclusion: The relevant departments of tuberculosis prevention and control should strengthen the management of treatment tuberculosis patients aged 25 and over (especially those over 60), retired/housekeeping/catering/unemployed/farmers/herdsmen/fishermen/migrant workers/long-distance drivers, retreatment patients, patients with comorbidities, and patients with positive etiology, dynamically monitor patients review, supervise the drug-taking process, and pay attention to health education to reduce the incidence of adverse outcomes of rifampicin sensitive pulmonary tuberculosis patients.

Key words: Tuberculosis,pulmonary, Treatment outcome, Factor analysis, statistical, Logistic models