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Chinese Journal of Antituberculosis ›› 2026, Vol. 48 ›› Issue (4): 468-476.doi: 10.19982/j.issn.1000-6621.20250444

• Original Articles • Previous Articles     Next Articles

Survey of Mycobacterium tuberculosis infection rate and analysis of associated factors among three priority populations in Yingde’s zero-TB community pilot areas,Guangdong Province

Wang Yongbing1, Zhong Yuexiang2, Fu Xiuying3, Zhang Ying1, Weng Wenpei4, Zhou Fangjing4, Yang Yingzhou5, Luo Jilun2()   

  1. 1 Project Office of Yingde Chronic Disease Prevention and Treatment Hospital,Guangdong Province,Yingde 513000,China
    2 Hospital Office,Yingde Chronic Disease Prevention and Treatment Hospital,Guangdong Province,Yingde 513000,China
    3 Department of Pulmonology,Yingde Chronic Disease Prevention and Treatment Hospital,Guangdong Province,Yingde 513000,China
    4 Guangdong Provincial Public Health Medical Center,Guangzhou 510630,China
    5 Guangdong Antituberculosis Association,Guangzhou 510630,China
  • Received:2025-11-12 Online:2026-04-10 Published:2026-04-02
  • Contact: Luo Jilun,Email:41352035@qq.com
  • Supported by:
    Comprehensive Intervention Demonstration Zone for Ending Tuberculosis Epidemic in Guangdong Province

Abstract:

Objective:To investigate the prevalence of Mycobacterium tuberculosis (MTB) infection and its associated factors among key populations screened with the recombinant Mycobacterium tuberculosis fusion protein (EC) assay in Yingde’s zero-TB community pilot areas. This study aimed to provide data support and a scientific basis for optimizing the national zero-TB community screening strategy. Methods:The study included close contacts of active pulmonary tuberculosis patients,diabetic patients,and self-presenting respiratory disease patients who underwent EC-based screening in two pilot townships (Wangbu,Shihuipu) of Yingde City in 2023. The study analyzed the EC screening coverage,MTB infection prevalence,and employed multivariable binary logistic regression to identify factors associated with MTB infection in each subgroup. Results:A total of 1524 key individuals were screened,with a screening rate of 87.44% (1524/1743). Among them,142 tested positive,resulting in an infection rate of 9.32% (142/1524). The screening rate among close contacts was 88.43% (757/856) with an infection rate of 10.30% (78/757);for diabetic patients,the rates were 82.97% (570/687) and 8.42% (48/570),respectively;and for self-presenting respiratory disease patients,the rates were 98.73% (233/236) and 9.87% (23/233). Multivariable logistic regression analysis indicated that among household contacts of tuberculosis patients,close contact with bacteriologically confirmed patients (OR=1.972,95%CI:1.178-3.301) and self-reported smoking history (OR=2.047,95%CI:1.012-4.140) were associated with MTB infection. Among respiratory disease patients seeking medical care,male sex was associated with MTB infection (OR=2.740,95%CI:1.088-6.903). Conclusion:The EC test demonstrated feasibility for investigating tuberculosis infection rates. Populations requiring focused attention include close contacts of etiologically positive index cases,close contacts with a smoking history,and male self-presenting patients with respiratory symptoms.

Key words: Tuberculosis, Recombinant fusion proteins, Mycobacterium infections, Screening, Factor analysis, statistical

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