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中国湖南省耐药结核病治疗结果的映射分析

Mapping Drug-Resistant Tuberculosis Treatment Outcomes in Hunan Province, China.

作者信息

Akalu Temesgen Yihunie, Clements Archie C A, Xu Zuhui, Bai Liqiong, Alene Kefyalew Addis

机构信息

School of Population Health, Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia.

Geospatial and Tuberculosis Research Team, Telethon Kids Institute, Perth, WA 6009, Australia.

出版信息

Trop Med Infect Dis. 2024 Dec 24;10(1):3. doi: 10.3390/tropicalmed10010003.

Abstract

BACKGROUND

Drug-resistant tuberculosis (DR-TB) remains a major public health challenge in China, with varying treatment outcomes across different regions. Understanding the spatial distribution of DR-TB treatment outcomes is crucial for targeted interventions to improve treatment success in high-burden areas such as Hunan Province. This study aimed to map the spatial distribution of DR-TB treatment outcomes at a local level and identify sociodemographic and environmental factors associated with poor treatment outcomes in Hunan Province, China.

METHODS

A spatial analysis was conducted using DR-TB data from the Tuberculosis Control Institute of Hunan Province, covering the years 2013 to 2018. The outcome variable, the proportion of poor treatment outcomes, was defined as a composite measure of treatment failure, death, and loss to follow-up. Sociodemographic, economic, healthcare, and environmental variables were obtained from various sources, including the WorldClim database, the Malaria Atlas Project, and the Hunan Bureau of Statistics. These covariates were linked to a map of Hunan Province and DR-TB notification data using R software version 4.4.0. The spatial clustering of poor treatment outcomes was analyzed using the local Moran's I and Getis-Ord statistics. A Bayesian logistic regression model was fitted, with the posterior parameters estimated using integrated nested Laplace approximation (INLA).

RESULTS

In total, 1381 DR-TB patients were included in the analysis. An overall upward trend in poor DR-TB treatment outcomes was observed, peaking at 14.75% in 2018. Deaths and treatment failures fluctuated over the years, with a notable increase in deaths from 2016 to 2018, while the proportion of patients lost to follow-up significantly declined from 2014 to 2018. The overall proportion of poor treatment outcomes was 9.99% (95% credible interval (CI): 8.46% to 11.70%), with substantial spatial clustering, particularly in Anxiang (50%), Anren (50%), and Chaling (42.86%) counties. The proportion of city-level indicators was significantly associated with higher proportions of poor treatment outcomes (odds ratio (OR): 1.011; 95% CRI: 1.20 December 2024 001-1.035).

CONCLUSIONS

This study found a concerning increase in poor DR-TB treatment outcomes in Hunan Province, particularly in certain high-risk areas. Targeted public health interventions, including enhanced surveillance, focused healthcare initiatives, and treatment programs, are essential to improve treatment success.

摘要

背景

耐多药结核病(DR-TB)在中国仍然是一项重大的公共卫生挑战,不同地区的治疗结果各异。了解耐多药结核病治疗结果的空间分布对于在湖南省等高负担地区进行有针对性的干预以提高治疗成功率至关重要。本研究旨在绘制地方层面耐多药结核病治疗结果的空间分布,并确定与中国湖南省治疗结果不佳相关的社会人口学和环境因素。

方法

利用湖南省结核病防治研究所2013年至2018年的耐多药结核病数据进行空间分析。结果变量,即治疗结果不佳的比例,被定义为治疗失败、死亡和失访的综合指标。社会人口学、经济、医疗保健和环境变量从包括世界气候数据库、疟疾地图项目和湖南省统计局等各种来源获取。这些协变量使用R软件版本4.4.0与湖南省地图和耐多药结核病通报数据相关联。使用局部莫兰指数(Moran's I)和Getis-Ord统计量分析治疗结果不佳的空间聚类情况。拟合贝叶斯逻辑回归模型,使用集成嵌套拉普拉斯近似(INLA)估计后验参数。

结果

总共1381例耐多药结核病患者纳入分析。观察到耐多药结核病治疗结果不佳总体呈上升趋势,2018年达到峰值14.75%。死亡和治疗失败多年来波动,2016年至2018年死亡人数显著增加,而失访患者比例从201年到2018年显著下降。治疗结果不佳的总体比例为9.99%(95%可信区间(CI):8.46%至11.70%),存在显著的空间聚类,特别是在安乡县(50%)、安仁县(50%)和茶陵县(42.86%)。市级指标比例与治疗结果不佳比例较高显著相关(优势比(OR):1.011;95%CRI:1.20 2024年12月001 - 1.035))。

结论

本研究发现湖南省耐多药结核病治疗结果不佳情况令人担忧地增加,特别是在某些高风险地区。有针对性的公共卫生干预措施,包括加强监测、重点医疗保健举措和治疗项目,对于提高治疗成功率至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d1/11769319/2455c4f2c74b/tropicalmed-10-00003-g001.jpg

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