Temperature Exposure and Acute Cardiovascular Disease Risk in New York City: Case Time Series
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Numerous studies investigated the associations between myocardial infarction (MI), ischemic stroke, and temperature exposure, but the results vary widely, particularly in dense metropolitan areas. METHODS: We included all patients admitted to Mount Sinai hospitals with MI or ischemic stroke (2011-2019). We obtained daily mean, minimal, maximal, and diurnal temperature range (DTR) exposures from geospatial models. We used distributed lag nonlinear models in a case time series design to study the cumulative associations of each outcome with exposure to the different temperature metrics at lag days 0 to 6. RESULTS: We included 8933 individuals. We found cumulative higher odds of ischemic stroke associated with higher mean (odds ratio [OR], 1.010 [95% CI, 1.004-1.016]); maximal (OR, 1.010 [95% CI, 1.004-1.015]) and minimal temperatures (OR, 1.011 [95% CI, 1.004-1.017]) on 0 to 6 days before the event. We observed a nonlinear association between DTR and MI. Comparing exposure at the 10th percentile of DTR (3.8 °C) to the median (8 °C), we observed an OR of 1.332 (95% CI, 1.164-1.528), with similar effect estimates across lags. The OR of MI among those exposed to 12 °C (the 90th percentile of DTR) compared with the median was 1.041 (95% CI, 0.932-1.163). CONCLUSIONS: We found higher odds of ischemic stroke associated with increased temperature exposures, highlighting the potential stroke risks in a warming climate. Additionally, we found higher odds of MI associated with lower DTR, a pattern more common on colder days. This suggests DTR may capture cardiac effects not observed using traditional exposure metrics.
Institutions: Icahn School of Medicine at Mount Sinai, Brown University
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,810
OpenAlex ID: W4410601528
