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空气污染与 ST 段抬高型心肌梗死住院的时间序列研究——来自伊朗西北部的研究

Air pollution and admissions due to ST elevation myocardial infarction-a time-series study from northwest of Iran.

机构信息

Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Department of Anesthesiology, University at Buffalo, 77 Goodell Street, Suite #550, Buffalo, NY, 14203, USA.

出版信息

Environ Sci Pollut Res Int. 2017 Dec;24(35):27469-27475. doi: 10.1007/s11356-017-0343-1. Epub 2017 Oct 4.

Abstract

We investigated the association between the levels of air pollutants and the number of daily admissions due to ST segment elevation myocardial infarction (STEMI) in a metropolitan in the northwest of Iran. Daily concentrations of common air pollutants were obtained for the greater city of Tabriz for a period of 2 years. These reports included sulfur dioxide (SO2), nitrogen dioxide (NO2), nitric oxide (NO), nitrogen byproducts (NOx), carbon monoxide (CO), ozone (O3), and particulate matters < 10 μm (PM10). The census of admissions for STEMI was retrieved for the same period from hospital registries. The association of daily variations in air pollutant levels and the daily number of STEMI admissions were investigated in a time-series analysis. In the multi-pollutant model adjusting for long-term trend, seasonality, and temperature, a significant association was found for 1-h [NO2] and 24-h [CO]. A marginally significant association was observed for 24-h [NO2] and 8-h [CO]. The 24-h [CO] had the strongest association with the number of admissions with STEMI. Maximum 1-h concentrations of NO2 on the same day and on the prior day as well as 24-h concentrations of CO on the prior day were independently associated with increased number of STEMI admissions. However, daily concentrations of SO2, NO, O3, and PM10 were not associated with the frequency of hospital admissions for STEMI.

摘要

我们研究了伊朗西北部一个大都市的空气污染物水平与因 ST 段抬高型心肌梗死(STEMI)导致的每日住院人数之间的关系。在 2 年的时间里,我们获得了大泰伯里兹市的常见空气污染物的每日浓度数据。这些报告包括二氧化硫(SO2)、二氧化氮(NO2)、一氧化氮(NO)、氮氧化物(NOx)、一氧化碳(CO)、臭氧(O3)和 <10μm 的颗粒物(PM10)。同期,我们从医院登记处检索到 STEMI 的住院人数普查数据。我们在时间序列分析中调查了空气污染物水平的每日变化与 STEMI 每日住院人数之间的关联。在多污染物模型中,我们调整了长期趋势、季节性和温度,发现 1 小时 [NO2] 和 24 小时 [CO] 与每日 STEMI 住院人数显著相关。24 小时 [NO2] 和 8 小时 [CO] 也存在边缘显著相关。24 小时 [CO] 与 STEMI 住院人数的相关性最强。与 STEMI 住院人数增加相关的还有当日和前一天的最大 1 小时 NO2 浓度,以及前一天的 24 小时 CO 浓度。然而,SO2、NO、O3 和 PM10 的日浓度与 STEMI 住院人数的频率无关。

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