Comorbidities, Tobacco Exposure, and Geography: Added Risk Factors of Heat and Cold Wave–Related Mortality among U.S. Veterans with Chronic Obstructive Pulmonary Disease

医学 慢性阻塞性肺病 共病 环境卫生 人口学 内科学 社会学
作者
Austin Rau,Arianne K. Baldomero,Chris H. Wendt,Gillian A.M. Tarr,Bruce H. Alexander,Jesse D. Berman
出处
期刊:Annals of the American Thoracic Society [American Thoracic Society]
卷期号:22 (2): 200-207 被引量:5
标识
DOI:10.1513/annalsats.202312-1089oc
摘要

Abstract Rationale Understanding the health risks associated with extreme weather events is needed to inform policies to protect vulnerable populations. Objectives To estimate heat and cold wave-related mortality risks in a cohort of veteran patients with chronic obstructive pulmonary disease (COPD) and explore disparities among strata of comorbidities, tobacco exposure, and urbanicity. Methods We designed a time-stratified case-crossover study among deceased patients with COPD between 2016 and 2021 in the Veterans Health Administration system. Distributed lag models with conditional logistic regression estimated incidence rate ratios of heat and cold wave–associated mortality risk from lag days 0 to 3 for heatwaves and lag days 0 to 7 for cold waves. Attributable risks (ARs) per 100,000 patients were also calculated. Results Of the 377,545 deceased patients with COPD, the largest heatwave-related mortality risk was in patients with COPD and asthma (AR, 14,016; 95% confidence interval [CI], −326, 30,706) across lag days 0 to 3. The largest cold wave–related mortality burden was in patients with COPD with no other reported comorbidities (AR, 1,704; 95% CI, 759, 2,686) across lag days 0 to 7. Patients residing in urban settings had the greatest heatwave-related (AR, 1,062; 95% CI, 576, 1,559) and cold wave–related (AR, 1,261; 95% CI, 440, 2,105) mortality risk (across lag days 0 to 1 and 0 to 7, respectively). There were no differences in mortality risk by tobacco exposure. Conclusions Our findings show that individuals with COPD are susceptible to heat and cold waves. This information can inform clinical practice and public health policy about the mortality risk vulnerable populations experience with respect to extreme weather conditions. Furthermore, our results may be used in the development and refinement of future extreme weather warning systems designed for public health purposes.
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