合并症、烟草接触和地理位置:患有慢性阻塞性肺病的美国退伍军人在热浪和寒潮中死亡的附加风险因素。

Austin Rau, Arianne K Baldomero, Chris H Wendt, Gillian A M Tarr, Bruce H Alexander, Jesse D Berman
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引用次数: 0

摘要

导言:需要了解与极端天气事件相关的健康风险,以便为保护弱势群体的政策提供信息。为了满足这一需求,我们估算了退伍军人慢性阻塞性肺病(COPD)患者队列中与热浪和寒潮相关的死亡风险,并探讨了合并症、烟草接触和城市化等不同阶层之间的差异:我们设计了一项时间分层病例交叉研究,研究对象是退伍军人健康管理局系统中 2016 年至 2021 年间去世的慢性阻塞性肺病患者。采用条件逻辑回归的分布式滞后模型估算了热浪和寒潮相关死亡风险的发病率比(IRR),热浪的滞后天数为 0 至 3 天,寒潮的滞后天数为 0 至 7 天。同时还计算了每 10 万名患者的可归因风险 (AR):在377,545名死亡的慢性阻塞性肺病患者中,与热浪相关的最大死亡风险发生在慢性阻塞性肺病合并哮喘的患者身上,滞后天数为0至3天,AR:14,016(95% CI:-326, 30,706);与寒潮相关的最大死亡负担发生在无其他合并症的慢性阻塞性肺病患者身上,滞后天数为0至7天,AR:1,704(95% CI:759, 2,686)。居住在城市环境中的患者与热浪和寒潮相关的死亡风险最大,热浪:1,062(95% CI:576, 1,559),寒潮:1,261(95% CI:440, 2,105)(滞后天数分别为 0 至 1 天和 0 至 7 天)。烟草暴露对死亡风险没有影响:我们的研究结果表明,慢性阻塞性肺病患者很容易受到热浪和寒潮的影响。这些信息可为临床实践和公共卫生政策提供信息,帮助人们了解弱势群体在极端天气条件下的死亡风险。此外,我们的研究结果还可用于开发和完善未来为公共卫生目的而设计的极端天气预警系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comorbidities, Tobacco Exposure, and Geography: Added Risk Factors of Heat and Cold Wave-related Mortality among U.S. Veterans with Chronic Obstructive Pulmonary Disease.

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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