نبذة مختصرة : Introduction The acute effects of air pollution and cardiovascular disease (CVD) have been studied, but very few studies have focused on spatiotemporally modeled exposure to air pollutants at the population level. This study aims to examine the short-term association of fine particulate matter (PM2.5), Ozone (O3), Nitrogen Dioxide (NO2) and Sulfur Dioxide (SO2) and CVD emergency room visits (ERV) in Allegheny County for a 13-year period using a case-crossover study design. Aim We sought to estimate the effects of acute exposure to these four pollutants adjusting for temperature on CVD ERV and to compare outcomes in 1999-2005 compared to 2006-2011. Methods Land-use regression was used to model the ground level exposures to PM2.5, O3, NO2 and SO2. CVD ER visits were requested from the local hospitals of the two health networks in Allegheny County, which operate the majority of the ER services. The discharge International Classification of Diseases-9 (ICD-9) codes were used to identify the CVD cases and CVD subgroups. We linked the Zone Improvement Plan (ZIP) code level air pollution data with the patients’ ZIP code (residence) to determine the individual level exposure estimation of both case days and control days. Conditional logistic regression with multi-pollutant and distributed lags of 0-3-days was applied to estimate the effect of acute exposure of these pollutants to CVD ER visits (ERV), adjusting for temperature. Results In the overall analyses, for every interquartile increase of O3 exposure (25.52 ppb), there was a 6.6% (95% CI: 0.8%-12.7%) increase in the odds of an acute myocardial infarction ERV. This was consistent across both time periods. Among women and Black ERV, we observed an association of PM2.5 with acute myocardial infarction, and with ischemic heart disease. Some of these associations persisted in the later years of the study period. The gaseous pollutants (NO2, SO2 and O3) were shown to increase risk of cardiovascular events in both time periods. Conclusion We found an association of PM2.5 ...
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