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Chinese Journal of Antituberculosis ›› 2025, Vol. 47 ›› Issue (3): 355-361.doi: 10.19982/j.issn.1000-6621.20240457

• Original Articles • Previous Articles     Next Articles

Active screening and influencing factor analysis of pulmonary tuberculosis among elderly people

Qin Xueling1, Chen Li1(), Sun Xiaoying2, Hu Shanpeng1, Lu Zhen1, He Nailing3, Zhang Jifen4   

  1. 1Tuberculosis Prevention and Control Institute of Rizhao People’s Hospital in Shandong Province, Rizhao 276800, China
    2Department of Statistics, Public Health Clinical Center of Shandong Province, Ji’nan 25000, China
    3Juxian Tuberculosis Prevention and Control Institute of Shandong Province, Rizhao 276500, China
    4Wulian Center for Disease Control and Prevention, Rizhao 262300,China
  • Received:2024-10-14 Online:2025-03-10 Published:2025-02-27
  • Contact: Chen Li, Email: qxl8402@163.com
  • Supported by:
    Shandong Province Medical and Health Science and Technology Development Plan Project(202012071504);Jining Medical University Teacher Research Support Fund Project(JYFC2019FKJ150)

Abstract:

Objective: By conducting continuous active tuberculosis screening among elderly people aged 65 and above, the study aims to evaluate the implementation effect and influencing factors of active screening in the elderly, providing data support for precise formulation of tuberculosis prevention and control measures among the elderly. Methods: From 2020 to 2023, we conducted face-to-face questionnaire survey and digital radiography (DR) examination for the elderly people in four counties/districts and four townships/streets in Rizhao City for four consecutive years. We performed univariable analysis on characteristics, previous tuberculosis history, and close contact history with tuberculosis patients, as well as multivariable logistic regression analysis, to analyze the effectiveness and influencing factors of active screening for tuberculosis among the elderly population. Results: From 2020 to 2023, 21876, 18575, 1789, and 19883 people were screened respectively, totaling 77723 person-times, and 123 cases of pulmonary tuberculosis were detected, with a detection rate of 158.25/100000. The detection rate for male (240.97/100000, 82/34029) was significantly higher than that for female (93.83/100000, 41/43694,χ2=26.212,P<0.001); The detection rate of active pulmonary tuberculosis increased from 118.24/100000 (51/4133) in those aged 65-74 years old to 448.43/100000 (5/1115) in people aged 85-108 years old; Detection rates among people with pulmonary tuberculosis history and close contact history with pulmonary tuberculosis patients were 479.70/100000 (39/8130) and 519.02/100000 (103/19845), respectively. Screening was conducted at the same research site for four consecutive years from 2020 to 2023, and as the times of screening increased, the detection rates of active pulmonary tuberculosis in the elderly people showed a downward trend ($\chi_{\text {trend }}^{2}$=14.682,P<0.001) and the etiological positive rate showed a downward trend ($\chi_{\text {trend }}^{2}$=12.749,P<0.001)too. Logistic multivariable analysis showed that higher age (75-84 years and 85-108 years) was risk factor for pulmonary tuberculosis (OR (95%CI)=8.25 (1.95-35.83), 12.53 (3.03-55.12)). Conclusion: Conducting active screening among elderly people can quickly identify patients with pulmonary tuberculosis, thereby reducing the epidemic of tuberculosis. After multiple screenings, the detection rates of active pulmonary tuberculosis among the elderly showed a significant downward trend. It is necessary to optimize screening strategy based on frequency of screening, screening methods, and risk factors of the population.

Key words: Tuberculosis, pulmonary, Aged, Factor analysis, statistics

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