Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
Pulmonary, Allergy, Critical Care, and Sleep Medicine Section, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA.
Environ Health Perspect. 2024 Feb;132(2):27004. doi: 10.1289/EHP13176. Epub 2024 Feb 9.
Chronic obstructive pulmonary disease (COPD) is a heterogeneous pulmonary disease affecting 16 million Americans. Individuals with COPD are susceptible to environmental disturbances including heat and cold waves that can exacerbate disease symptoms.
Our objective was to estimate heat and cold wave-associated mortality risks within a population diagnosed with a chronic respiratory disease.
We collected individual level data with geocoded residential addresses from the Veterans Health Administration on 377,545 deceased patients with COPD (2016 to 2021). A time stratified case-crossover study was designed to estimate the incidence rate ratios (IRR) of heat and cold wave mortality risks using conditional logistic regression models examining lagged effects up to 7 d. Attributable risks (AR) were calculated for the lag day with the strongest association for heat and cold waves, respectively. Effect modification by age, gender, race, and ethnicity was also explored.
Heat waves had the strongest effect on all-cause mortality at lag day 0 [IRR: 1.04; 95% confidence interval (CI): 1.02, 1.06] with attenuated effects by lag day 1. The AR at lag day 0 was 651 (95% CI: 326, 975) per 100,000 veterans. The effect of cold waves steadily increased from lag day 2 and plateaued at lag day 4 (IRR: 1.04; 95% CI: 1.02, 1.07) with declining but still elevated effects over the remaining 7-d lag period. The AR at lag day 4 was 687 (95% CI: 344, 1,200) per 100,000 veterans. Differences in risk were also detected upon stratification by gender and race.
Our study demonstrated harmful associations between heat and cold waves among a high-risk population of veterans with COPD using individual level health data. Future research should emphasize using individual level data to better estimate the associations between extreme weather events and health outcomes for high-risk populations with chronic medical conditions. https://doi.org/10.1289/EHP13176.
慢性阻塞性肺疾病(COPD)是一种影响 1600 万美国人的异质性肺部疾病。COPD 患者易受到环境干扰,包括热浪和寒潮,这些干扰会使疾病症状恶化。
我们的目的是估计患有慢性呼吸道疾病的人群中与热浪和寒潮相关的死亡风险。
我们从退伍军人健康管理局收集了个体水平的数据,这些数据包含地理编码的居住地址,涉及 377545 名患有 COPD 的已故患者(2016 年至 2021 年)。采用时间分层病例交叉研究设计,使用条件逻辑回归模型估计热浪和寒潮死亡率风险的发病率比值(IRR),并检查长达 7 天的滞后效应。分别计算了热浪和寒潮最强关联滞后日的归因风险(AR)。还探讨了年龄、性别、种族和民族的效应修饰作用。
热浪对所有原因死亡率的影响最强,在滞后日 0 时[IRR:1.04;95%置信区间(CI):1.02,1.06],随着滞后日 1 的增加,影响逐渐减弱。滞后日 0 的 AR 为每 10 万名退伍军人 651(95%CI:326,975)。寒潮的影响从滞后日 2 开始稳步增加,并在滞后日 4 时达到平台期(IRR:1.04;95%CI:1.02,1.07),在剩余的 7 天滞后期内,影响虽逐渐减弱,但仍处于较高水平。滞后日 4 的 AR 为每 10 万名退伍军人 687(95%CI:344,1200)。在按性别和种族分层时,也发现了风险差异。
我们的研究使用个体水平的健康数据,在患有 COPD 的退伍军人这一高危人群中证明了热浪和寒潮之间存在有害关联。未来的研究应强调使用个体水平数据,以更好地估计患有慢性医疗条件的高危人群与极端天气事件和健康结果之间的关联。https://doi.org/10.1289/EHP13176.