Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China.
China National Clinical Research Center for Neurological Diseases, Beijing, 10070, China.
Environ Sci Pollut Res Int. 2021 Feb;28(6):6877-6885. doi: 10.1007/s11356-020-10963-1. Epub 2020 Oct 3.
Numerous studies have examined the associations between air pollution and stroke. However, little is known about the associations between air pollution and transient ischemic attack (TIA). In this study, we aimed to conduct a time-series study to systematically examine the associations between hospital admissions for TIA and air pollutants. Admissions for TIA (ICD-10: G45) from 1 January 2014 to 31 December 2016 were identified based on the primary diagnosis from 134 hospitals in Beijing, China. Hourly measurements of air pollutants were obtained from the National Air Pollution Monitoring System. Generalized additive models with quasi-Poisson regression were used to determine the associations for each pollutant. Additionally, stratified analysis was implemented to examine whether age, gender, temperature, and season were the potential effect modifiers. Restricted cubic spline was applied to investigate the exposure-response curve. In total, 109,975 hospital admissions for TIA were included. The positive associations were detected between PM, PM, SO, NO, and CO and hospital admissions for TIA. The effects of PM and PM in men are stronger than in women. Additionally, the effects of PM, PM, SO, and O are more pronounced on warm days than cool days. From exposure-response curves, we observe a nearly linear relationship for PM, PM, CO, and NO. Further studies are needed to verify the association. This research contributes evidence on the association between air pollution and admissions for TIA in the low- and middle-income countries and may promote related public health policy development.
许多研究都考察了空气污染与中风之间的关联。然而，对于空气污染与短暂性脑缺血发作（TIA）之间的关联，我们知之甚少。在这项研究中，我们旨在进行一项时间序列研究，系统地考察 TIA 住院与空气污染物之间的关联。基于中国北京 134 家医院的主要诊断，我们确定了 2014 年 1 月 1 日至 2016 年 12 月 31 日期间 TIA（ICD-10：G45）的住院人数。我们从国家空气污染监测系统获得了每小时的空气污染物测量值。采用广义加性模型和拟泊松回归来确定每种污染物的关联。此外，还进行了分层分析，以检验年龄、性别、温度和季节是否是潜在的效应修饰剂。应用受限立方样条来研究暴露-反应曲线。总共纳入了 109975 例 TIA 住院病例。研究结果显示，PM、PM、SO、NO 和 CO 与 TIA 住院之间存在正相关关系。男性中 PM 和 PM 的影响比女性更强。此外，PM、PM、SO 和 O 在温暖天气下的影响比凉爽天气下更明显。从暴露-反应曲线可以看出，PM、PM、CO 和 NO 之间存在几乎线性的关系。需要进一步的研究来验证这种关联。本研究为中低收入国家空气污染与 TIA 住院之间的关联提供了证据，并可能促进相关公共卫生政策的制定。
