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北京天气类型与急性心肌梗死住院的关联:环境因素的综合分析。

Association between synoptic types in Beijing and acute myocardial infarction hospitalizations: A comprehensive analysis of environmental factors.

机构信息

Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China; Department of Internal Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Sci Total Environ. 2024 Jul 15;934:173278. doi: 10.1016/j.scitotenv.2024.173278. Epub 2024 May 14.

Abstract

BACKGROUND

Environmental factors like air pollution and temperature can trigger acute myocardial infarction (AMI). However, the link between large-scale weather patterns (synoptic types) and AMI admissions has not been extensively studied. This research aimed to identify the different synoptic air types in Beijing and investigate their association with AMI occurrences.

METHODS

We analyzed data from Beijing between 2013 and 2019, encompassing 2556 days and 149,632 AMI cases. Using principal component analysis and hierarchical clustering, classification into distinct synoptic types was conducted based on weather and pollution measurements. To assess the impact of each type on AMI risk over 14 days, we employed a distributed lag non-linear model (DLNM), with the reference being the lowest risk type (Type 2).

RESULTS

Four synoptic types were identified: Type 1 with warm, humid weather; Type 2 with warm temperatures, low humidity, and long sunshine duration; Type 3 with cold weather and heavy air pollution; and Type 4 with cold temperatures, dryness, and high wind speed. Type 4 exhibited the greatest cumulative relative risk (CRR) of 1.241 (95%CI: 1.150, 1.339) over 14 days. Significant effects of Types 1, 3, and 4 on AMI events were observed at varying lags: 4-12 days for Type 1, 1-6 days for Type 3, and 1-11 days for Type 4. Females were more susceptible to Types 1 and 3, while individuals younger than 65 years old showed increased vulnerability to Types 3 and 4.

CONCLUSION

Among the four synoptic types identified in Beijing from 2013 to 2019, Type 4 (cold, dry, and windy) presented the highest risk for AMI hospitalizations. This risk was particularly pronounced for males and people under 65. Our findings collectively highlight the need for improved methods to identify synoptic types. Additionally, developing a warning system based on these synoptic conditions could be crucial for prevention.

摘要

背景

环境因素,如空气污染和温度,可能会引发急性心肌梗死(AMI)。然而,大规模天气模式(天气系统类型)与 AMI 入院之间的联系尚未得到广泛研究。本研究旨在确定北京不同的天气系统类型,并调查它们与 AMI 发生的关联。

方法

我们分析了 2013 年至 2019 年北京的数据,包含 2556 天和 149632 例 AMI 病例。使用主成分分析和层次聚类,根据天气和污染测量结果对不同的天气系统类型进行分类。为了评估每种类型对 14 天内 AMI 风险的影响,我们采用分布式滞后非线性模型(DLNM),参考风险最低的类型(类型 2)。

结果

确定了四种天气系统类型:类型 1 为温暖潮湿的天气;类型 2 为温暖、低湿度和长日照时间;类型 3 为寒冷天气和严重的空气污染;类型 4 为寒冷、干燥和高风速。类型 4 在 14 天内的累积相对风险(CRR)最大,为 1.241(95%CI:1.150,1.339)。在不同的滞后时间内,类型 1、3 和 4 对 AMI 事件均有显著影响:类型 1 为 4-12 天,类型 3 为 1-6 天,类型 4 为 1-11 天。女性对类型 1 和 3 更为敏感,而年龄小于 65 岁的个体对类型 3 和 4 更为脆弱。

结论

在 2013 年至 2019 年期间确定的北京四种天气系统类型中,类型 4(寒冷、干燥和多风)对 AMI 住院的风险最高。这种风险对于男性和 65 岁以下的人群尤为明显。我们的研究结果共同强调了需要改进识别天气系统类型的方法。此外,基于这些天气条件开发预警系统对于预防至关重要。

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