Transmission dynamics of tuberculosis in a high-burden area of China: An 8-year population-based study using whole genome sequencing

IF 4.8 2区医学 Q1 INFECTIOUS DISEASES

International Journal of Infectious Diseases Pub Date : 2024-08-14 DOI:10.1016/j.ijid.2024.107210

Wencong He , Yunhong Tan , Zexuan Song , Binbin Liu , Hui Xia , Huiwen Zheng , Dongxin Liu , Chunfa Liu , Ping He , Yiting Wang , Zeyuan Zhao , Xichao Ou , Shengfen Wang , Jingwei Guo , Yanlin Zhao

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引用次数: 0

Abstract

Objectives

This study investigated the transmission patterns of tuberculosis (TB) and its associated risk factors in Hunan province to inform the development of prevention and control strategies in the region.

Methods

An 8-year retrospective population-based genomic epidemiological study was conducted. Genomic clusters were defined using distance thresholds of 12-single-nucletide-polymorphisms. Risk factors associated with TB transmission were analyzed using logistic regression model. Kernel Density analysis was used to locate hotspots where transmission occurred.

Results

Among 2649 TB cases included in this study, 275 clusters were identified, with an overall clustering rate of 24.7% (654/2649). Nearly 95% (620/654) of clustered strains were isolated from the same county. Of the 275 clusters, 23 (8.4%, 23/275) had differences in drug-resistant profiles, with FQs resistance mutations occurring most frequently (52.2%, 12/23). Multivariate analysis identified male TB patients, those aged 30-60 years, ethnic minorities, nonfarmers, retreated TB patients, and individuals infected with MDR/RR-TB as independent risk factors for TB transmission (P < 0.05). Kernel density analysis showed that among the 5 drug-resistant surveillance sites, Leiyang had the highest clustering rate, followed by Yongshun, Qidong, Hecheng, and Taojiang.

Conclusion

Recent transmission in the region is predominantly occurring within counties. The risk factors related to TB transmission and the hotspots where transmission occurs can provide a scientific basis for the formulation of targeted TB prevention and control strategies.

查看原文本刊更多论文

中国结核病高发区的传播动态：利用全基因组测序技术进行的为期 8 年的人群研究。

研究目的本研究调查了湖南省结核病的传播模式及其相关风险因素，为制定该地区的预防和控制策略提供依据：方法：开展了一项为期 8 年的基于人群的基因组流行病学回顾性研究。采用 12 个单核苷酸多态性的距离阈值定义基因组群。使用逻辑回归模型分析了与结核病传播相关的风险因素。核密度分析用于确定发生传播的热点地区：结果：在本研究纳入的 2649 例肺结核病例中，确定了 275 个聚类，总体聚类率为 24.7%（654/2649）。近 95% 的聚集菌株（620/654）分离自同一县。在 275 个聚类中，有 23 个（8.4%，23/275）存在耐药性差异，其中 FQs 耐药性突变最为常见（52.2%，12/23）。多变量分析表明，男性肺结核病人、30-60 岁人群、少数民族、非农业人口、接受过再治疗的肺结核病人、MDR/RR-TB 感染者是肺结核传播的独立风险因素：该地区近期的结核病传播主要发生在县域内。与结核病传播相关的风险因素和传播热点可为制定有针对性的结核病防控策略提供科学依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Infectious Diseases 医学-传染病学

CiteScore

18.90

自引率

2.40%

发文量

1020

审稿时长

30 days

期刊介绍： International Journal of Infectious Diseases (IJID) Publisher: International Society for Infectious Diseases Publication Frequency: Monthly Type: Peer-reviewed, Open Access Scope: Publishes original clinical and laboratory-based research. Reports clinical trials, reviews, and some case reports. Focuses on epidemiology, clinical diagnosis, treatment, and control of infectious diseases. Emphasizes diseases common in under-resourced countries.