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

IF 2.6 4区 医学 Q2 INFECTIOUS DISEASES Tropical Medicine and Infectious Disease Pub Date : 2024-12-24 DOI:10.3390/tropicalmed10010003
Temesgen Yihunie Akalu, Archie C A Clements, Zuhui Xu, Liqiong Bai, Kefyalew Addis Alene
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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.

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中国湖南省耐药结核病治疗结果制图
背景:耐药结核病(DR-TB)在中国仍然是一个主要的公共卫生挑战,不同地区的治疗结果不同。了解耐药结核病治疗结果的空间分布对于有针对性的干预措施以提高湖南省等高负担地区的治疗成功率至关重要。本研究旨在绘制湖南省地方耐药结核病治疗结果的空间分布图,并确定与治疗效果差相关的社会人口和环境因素。方法:利用湖南省结核病控制研究所2013 - 2018年耐药结核病数据进行空间分析。结果变量,不良治疗结果的比例,被定义为治疗失败、死亡和随访损失的综合衡量指标。社会人口、经济、医疗保健和环境变量是从各种来源获得的,包括WorldClim数据库、疟疾地图集项目和湖南省统计局。使用R软件4.4.0版将这些协变量与湖南省地图和耐药结核通报数据链接。利用局部Moran's I和Getis-Ord统计量分析不良治疗结果的空间聚类。拟合了贝叶斯逻辑回归模型,后验参数采用积分嵌套拉普拉斯近似(INLA)估计。结果:共纳入1381例耐药结核病患者。观察到耐药结核病治疗结果不佳的总体上升趋势,2018年达到14.75%的峰值。死亡和治疗失败逐年波动,2016年至2018年死亡人数显著增加,2014年至2018年失去随访的患者比例显著下降。总体治疗结果不良的比例为9.99%(95%可信区间为8.46% ~ 11.70%),且具有明显的空间集聚性,其中安乡县(50%)、安仁县(50%)和茶陵县(42.86%)表现突出。城市一级指标的比例与较高的不良治疗结果比例显著相关(优势比(OR): 1.011;95% CRI: 1.20 December 2024 001-1.035)。结论:本研究发现,在湖南省,特别是在某些高风险地区,耐多药结核病治疗效果不佳的情况有所增加。有针对性的公共卫生干预措施,包括加强监测、重点卫生保健举措和治疗方案,对于提高治疗成功率至关重要。
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来源期刊
Tropical Medicine and Infectious Disease
Tropical Medicine and Infectious Disease Medicine-Public Health, Environmental and Occupational Health
CiteScore
3.90
自引率
10.30%
发文量
353
审稿时长
11 weeks
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