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Chinese Journal of Antituberculosis ›› 2025, Vol. 47 ›› Issue (12): 1573-1582.doi: 10.19982/j.issn.1000-6621.20250228

• Original Articles • Previous Articles     Next Articles

Analysis of the epidemiological characteristics and influencing factors of treatment outcomes in patients with pulmonary tuberculosis complicated by diabetes in Kashgar Prefecture, 2018—2023

Maiweilanjiang Abulimiti1, Abudukelimu Tawakuli1, Gulimina Abulimiti2, Huang Fei3()   

  1. 1Division of Tuberculosis Clinic, Tuberculosis Dispensary of Kashgar Prefecture, Xinjiang Uyghur Autonomous Region, Kashgar 844000, China
    2Kashgar Center for Disease Control and Prevention, Xinjiang Uyghur Autonomous Region, Kashgar 844000, China
    3National Tuberculosis Prevention and Control Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • Received:2025-05-28 Online:2025-12-10 Published:2025-11-28
  • Contact: Huang Fei, Email: huangfei@qq.com
  • Supported by:
    The Third Batch of Tianshan Talents Project in Xinjiang Uygur Autonomous Region in 2024(2024TSYCJC0061);Kashgar Science and Technology Plan Project(KS2023016)

Abstract:

Objective: To analyze the epidemiological characteristics of patients with pulmonary tuberculosis complicated by diabetes mellitus (PTB-DM) and the influencing factors of treatment outcomes in Kashgar Prefecture, Xinjiang Uygur Autonomous Region. Methods: Through the “Tuberculosis Management Information System” subsystem of the “China Disease Prevention and Control Information System”, data on pulmonary tuberculosis patients registered and treated in Kashgar Prefecture, Xinjiang Uygur Autonomous Region from 2018 to 2023 were collected. Descriptive analysis was employed to compare the characteristics of PTB-DM patients with those of non-diabetic pulmonary tuberculosis patients managed during the same period. Regression analysis was conducted to examine the factors influencing the treatment outcomes of PTB-DM patients. Results: From 2018 to 2023, a total of 82990 patients with active pulmonary tuberculosis were registered in Kashgar, including 81048 patients without diabetes and 1942 PTB-DM patients. The annual registration rate of pulmonary tuberculosis decreased from 806.70/100000 (32851 cases) in 2018 to 154.80/100000 (7150 cases) in 2023, showing a downward trend (APC=-33.10%, χ t r e n d 2=45.320, P<0.05). However, the annual registration rate of PTB-DM had increased from 2.70/100000 (110 cases) in 2018 to 14.72/100000 (680 cases) in 2023, showing a year-on-year upward trend (APC=48.00%, χ t r e n d 2=6.280, P<0.05). There were significant differences in the distribution of gender, age, nationality, occupation, source of patients, pathogenic detection results and other characteristics between PTB-DM group and non-combined diabetes group. Among 1942 PTB-DM patients, 1701 achieved successful treatment, with a success rate of 87.59%. In 81048 pulmonary tuberculosis patients without diabetes, 74896 achieved successful treatment, with a success rate of 92.41%. Multivariate logistic regression analysis of influencing factors on treatment outcomes in PTB-DM patients revealed that occupations as farmers (OR=2.101, 95%CI: 1.560-2.821), patients undergoing retreatment (OR=2.277, 95%CI: 1.812-2.861), 45-54 years old (OR=2.080, 95%CI: 1.161-3.750), 55-64 years old (OR=3.360, 95%CI:1.910-5.911), 65-74 years old (OR=4.891, 95%CI: 2.820-8.482), ≥75 years old (OR=8.202, 95%CI: 4.201-16.023), positive pathogen results (OR=1.484, 95%CI: 1.147-1.920), referral/follow-up patients (OR=1.534, 95%CI: 1.116-2.109; OR=1.898, 95%CI: 1.275-2.826) had a higher risk of developing adverse treatment outcomes; patients from Yecheng County and Yuepuhu County (OR=0.148, 95%CI: 0.031-0.710; OR=0.110, 95%CI: 0.019-0.625) had a lower risk of adverse treatment outcomes. Conclusion: The registration rate of PTB-DM patients in Kashgar Region has been increasing year by year. PTB-DM patients are mainly farmers, elderly people, pathogen positive, and retreated patients, and the main sources of patients are referral and tracking; these factors are also the main risk factors for adverse treatment outcomes.

Key words: Tuberculosis, pulmonary, Diabetes mellitus, Comorbidity, Disease attributes, Factor analysis, statistical

CLC Number: