Lin Yi-Jun, Lin Hsing-Chieh, Yang Ying-Fei, Chen Chi-Yun, Ling Min-Pei, Chen Szu-Chieh, Chen Wei-Yu, You Shu-Han, Lu Tien-Hsuan, Liao Chung-Min
Institute of Food Safety and Health Risk Assessment, National Yang-Ming University, Taipei, Taiwan.
Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.
Infect Drug Resist. 2019 Dec 6;12:3835-3847. doi: 10.2147/IDR.S227823. eCollection 2019.
Broad-scale evidence has shown the significant association between ambient air pollutants and the development of tuberculosis (TB). However, the impact of air quality on the risk of TB in Taiwan is still poorly understood.
To develop a probabilistic integrated population-level risk assessment approach for evaluating the contribution of ambient air pollution exposure to the risk of TB development among different regions of Taiwan.
A Bayesian-based probabilistic risk assessment model was implemented to link exposure concentrations of various air pollutants quantified in a probabilistic manner with the population-based exposure-response models developed by using an epidemiological investigation.
The increment of the risk of TB occurred in a region with a higher level of air pollution, indicating a strong relationship between ambient air pollution exposures and TB incidences. Carbon monoxide (CO) exposure showed the highest population attributable fraction (PAF), followed by nitrogen oxides (NO) and nitrogen dioxide (NO) exposures. In a region with higher ambient air pollution, it is most likely (80% risk probability) that the contributions of CO exposure to development of TB were 1.6-12.2% (range of median PAFs), whereas NO and NO exposures contributed 1.2-9.8% to developing TB.
Our findings provide strong empirical support for the hypothesis and observations from the literature that poor air quality is highly likely to link aetiologically to the risk of TB. Therefore, substantial reductions in CO, NO, and NO exposures are predicted to have health benefits to susceptible and latently infected individuals that provide complementary mitigation efforts in reducing the burden of TB. Considering that people continue to be exposed to both TB bacilli and ambient air pollutants, our approach can be applied for different countries/regions to identify which air pollutants contribute to a higher risk of TB in order to develop potential mitigation programs.
大规模证据表明,环境空气污染物与结核病(TB)的发生之间存在显著关联。然而,空气质量对台湾地区结核病风险的影响仍知之甚少。
开发一种概率性综合人群水平风险评估方法,以评估台湾不同地区环境空气污染暴露对结核病发生风险的贡献。
实施基于贝叶斯的概率风险评估模型,将以概率方式量化的各种空气污染物的暴露浓度与通过流行病学调查开发的基于人群的暴露-反应模型相联系。
在空气污染水平较高的地区,结核病风险增加,表明环境空气污染暴露与结核病发病率之间存在密切关系。一氧化碳(CO)暴露显示出最高的人群归因分数(PAF),其次是氮氧化物(NO)和二氧化氮(NO₂)暴露。在环境空气污染较高的地区,CO暴露对结核病发生的贡献最有可能(风险概率为80%)为1.6%-12.2%(PAF中位数范围),而NO和NO₂暴露对结核病发生的贡献为1.2%-9.8%。
我们的研究结果为文献中的假设和观察结果提供了有力的实证支持,即空气质量差很可能在病因上与结核病风险相关。因此,预计大幅减少CO、NO和NO₂暴露将对易感和潜伏感染个体产生健康益处,为减轻结核病负担提供补充性缓解措施。考虑到人们继续暴露于结核杆菌和环境空气污染物中,我们的方法可应用于不同国家/地区,以确定哪些空气污染物会导致更高的结核病风险,从而制定潜在的缓解计划。