Literature DB >> 28404472

The prevalence of latent tuberculosis infection in rural Jiangsu, China.

Y Liu1, S Huang2, H Jiang3, J Xiong4, Y Wang5, M Ou6, J Cai7, C Yang8, Z Wang9, S Ge10, N Xia11.   

Abstract

OBJECTIVES: Diagnosis and interventional treatment of latent tuberculosis (TB) infection (LTBI) are important components in tuberculosis control. But systematic studies regarding the epidemic of LTBI are still rare in China. The objective of this study was to assess the prevalence and risk factors associated with LTBI based on the results of a domestic TB-specific gamma interferon (IFN-γ) release assay (TB-IGRA) in rural Jiangsu, China. STUDY
DESIGN: Cross-sectional study of subjects registered in eight villages in Jiangsu, China.
METHODS: This study was conducted in 2012 in eight villages. After recruitment, individuals with active TB or a history of TB were excluded. The TB-IGRA was performed for diagnosis of LTBI.
RESULTS: 2169 of 2185 subjects met the requirement and were analysed in this study. 524 (24.3%) had a positive result, and positive rate gradually increased with age (P for trend <0.001). Multivariate analyses showed that increasing age, male gender and a history of TB exposure were risk factors associated with LTBI. Bacillus Calmette-Guérin (BCG) vaccination did not reduce the risk of TB infection in participants (aged ≥20 years).
CONCLUSIONS: The findings of this study demonstrate that the prevalence of LTBI in China might be overestimated by tuberculin skin test compared with IFN-γ release assay (IGRA). The degree of TB exposure is related to Mycobacterium tubercuium (MTB) infection, and BCG vaccination offers little protection against MTB infection in adults. The early and effective detection and treatment of active TB patients, and screening and intervention for LTBI patients with a high risk of developing active TB could be cost-effective methods for TB control in China.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  BCG; Interferon-γ release assay; Latent; Tuberculosis

Mesh:

Substances:

Year:  2017        PMID: 28404472     DOI: 10.1016/j.puhe.2017.01.008

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


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