Hourly Exposure to Ultrafine Particle Metrics and the Onset of Myocardial Infarction in Augsburg, Germany
Hourly Exposure to Ultrafine Particle Metrics and the Onset of Myocardial Infarction in Augsburg, Germany
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DOI：
10.1289/ehp5478
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发表时间：
2020-01-01
影响因子：
10.4
通讯作者：
Strauch, K.
中科院分区：
文献类型：
--
作者：
Chen, Kai;Schneider, Alexandra;Strauch, K.
背景：超细颗粒（UFP）对健康影响的流行病学证据仍然不足以推断出因果关系，这主要是由于研究中不同的大小范围和暴露指标所导致的。此外，在亚每日时间尺度上，关于UFP与心血管疾病之间关联的证据缺乏。目的：研究不同颗粒指标（包括颗粒数（PNC）、长度（PLC）和表面积（PSC）浓度）与每小时心肌梗死（MI）之间的关系。方法：我们收集了2005-2015年德国奥格斯堡固定城市背景监测点每小时的空气污染和气象数据，以及每小时的非致命性心肌梗死病例。我们使用条件逻辑回归进行了时间分层病例交叉分析，以估计每小时颗粒指标与MI病例之间的关联，并根据空气温度和相对湿度进行了调整。我们还通过调整共污染物，包括空气动力学直径为>= 10 μ m或2.5 μ m（分别为PM10和PM2.5）的颗粒物（PM）、二氧化氮、臭氧和黑碳，研究了双污染物模型中特定颗粒度量的独立影响。结果：总的来说，共记录了5898例非致死性心肌梗死病例。探索性分析显示，在最初的6-12小时内，颗粒指标之间存在类似的关联。例如，在10-100 nm的尺寸范围内，PNC、PLC和PSC的四分位数范围增加与6小时后MI的增加相关，分别为3.27%[95%置信区间（CI）： 0.27, 6.37]、5.71% （95% CI: 1.79, 9.77）和5.84% （95% CI: 1.04, 10.87）。虽然不精确，但在10-30 nm和100-500 nm的尺寸范围内观察到PNC呈正相关。在调整了PM和气态污染物后，PLC和PSC的影响估计仍然相似。结论：颗粒数量、长度和表面积浓度的短暂暴露或其他潜在的相关暴露可能引发非致死性心肌梗死的发生。
BACKGROUND: Epidemiological evidence on the health effects of ultrafine particles (UFP) remains insufficient to infer a causal relationship that is largely due to different size ranges and exposure metrics examined across studies. Moreover, evidence regarding the association between UFP and cardiovascular disease at a sub-daily timescale is lacking.OBJECTIVE: We investigated the relationship between different particle metrics, including particle number (PNC), length (PLC), and surface area (PSC) concentrations, and myocardial infarction (MI) at an hourly timescale.METHODS: We collected hourly air pollution and meteorological data from fixed urban background monitoring sites and hourly nonfatal MI cases from a MI registry in Augsburg, Germany, during 2005-2015. We conducted a time-stratified case-crossover analysis with conditional logistic regression to estimate the association between hourly particle metrics and MI cases, adjusted for air temperature and relative humidity. We also examined the independent effects of a certain particle metric in two-pollutant models by adjusting for copollutants, including particulate matter (PM) with an aerodynamic diameter of >= 10 mu m or 2.5 mu m (PM10 and PM2.5, respectively), nitrogen dioxide, ozone, and black carbon.RESULTS: Overall, a total of 5,898 cases of nonfatal MI cases were recorded. Exploratory analyses showed similar associations across particle metrics in the first 6-12 h. For example, interquartile range increases in PNC within the size range of 10-100 nm, PLC, and PSC were associated with an increase of MI 6 h later by 3.27% [95% confidence interval (CI): 0.27, 6.37], 5.71% (95% CI: 1.79, 9.77), and 5.84% (95% CI: 1.04, 10.87), respectively. Positive, albeit imprecise, associations were observed for PNC within the size range of 10-30 nm and 100-500 nm. Effect estimates for PLC and PSC remained similar after adjustment for PM and gaseous pollutants.CONCLUSIONS: Transient exposure to particle number, length, and surface area concentrations or other potentially related exposures may trigger the onset of nonfatal myocardial infraction.