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Air pollution in relation to very short-term risk of ST-segment elevation myocardial infarction: Case-crossover analysis of SWEDEHEART.
International Journal of Cardiology 2019 January 16
OBJECTIVE: Studies have related air pollution to myocardial infarction (MI) events over days or weeks, with few data on very short-term risks. We studied risk of ST-segment elevation MI (STEMI) within hours of exposure to air pollution while adjusting for weather.
METHODS: We performed a case-crossover study of STEMI cases in Stockholm, Sweden (Jan 2000-June 2014) based on SWEDEHEART. Exposures during hazard periods up to 24 h prior to admission were compared to bidirectionally sampled control periods. Risks attributable to sulphur dioxide (SO2 ), nitrogen dioxide (NO2 ), ozone and particulate pollutants (PM2.5 , PM10 ) were studied in conditional logistic regression models for interquartile range increments.
RESULTS: Risk of STEMI (n = 14,601) was associated with NO2 (strongest at 15-h lag) and with PM2.5 (strongest at 20-h lag), in single-pollutant models adjusting for air temperature and humidity (NO2 : odds ratio (OR; 95% confidence interval) 1.065 (1.031-1.101); PM2.5 : 1.026 (1.001-1.054)). After adjusting models for atmospheric pressure (significantly associated with STEMI risk at 14-24-h lags), NO2 remained highly statistically significant (1.057 (1.022-1.094)) but not PM2.5 (1.024 (0.997-1.052)). No associations were seen for SO2 , ozone or PM10 .
CONCLUSION: Risk of STEMI rises within hours of exposure to air pollutants, with strongest impact of NO2 . These findings are complementary to earlier reports which have not acknowledged widely the importance of very short-term fluctuations in air pollution.
METHODS: We performed a case-crossover study of STEMI cases in Stockholm, Sweden (Jan 2000-June 2014) based on SWEDEHEART. Exposures during hazard periods up to 24 h prior to admission were compared to bidirectionally sampled control periods. Risks attributable to sulphur dioxide (SO2 ), nitrogen dioxide (NO2 ), ozone and particulate pollutants (PM2.5 , PM10 ) were studied in conditional logistic regression models for interquartile range increments.
RESULTS: Risk of STEMI (n = 14,601) was associated with NO2 (strongest at 15-h lag) and with PM2.5 (strongest at 20-h lag), in single-pollutant models adjusting for air temperature and humidity (NO2 : odds ratio (OR; 95% confidence interval) 1.065 (1.031-1.101); PM2.5 : 1.026 (1.001-1.054)). After adjusting models for atmospheric pressure (significantly associated with STEMI risk at 14-24-h lags), NO2 remained highly statistically significant (1.057 (1.022-1.094)) but not PM2.5 (1.024 (0.997-1.052)). No associations were seen for SO2 , ozone or PM10 .
CONCLUSION: Risk of STEMI rises within hours of exposure to air pollutants, with strongest impact of NO2 . These findings are complementary to earlier reports which have not acknowledged widely the importance of very short-term fluctuations in air pollution.
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