Seasonality and daily weather conditions in relation to myocardial infarction and sudden cardiac death in Olmsted County, Minnesota, 1979 to 2002

Seasonality and daily weather conditions in relation to myocardial infarction and sudden cardiac death in Olmsted County, Minnesota, 1979 to 2002
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DOI:
10.1016/j.jacc.2006.02.065
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发表时间:
2006-07-18
影响因子:
24
通讯作者:
Roger, Veronique L.
Roger, Veronique L.
中科院分区:
医学1区
文献类型:
--
作者:
Gerber, Yariv;Jacobsen, Steven J.;Roger, Veronique L.

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目的 我们评估了特定地理人群中季节和天气类型与心肌梗死 (MI) 和心源性猝死 (SCD) 的关系,并检验了冬季风险增加与天气相关的假设。 背景 冬季冠心病 (CHD) 高峰已被记录。然而,尚不确定事件事件和死亡是否存在季节性,并且天气条件的作用尚不清楚。方法利用国家气象局的数据检查了奥姆斯特德县每天发生的 MI 和 SCD 事件。泊松回归模型用于评估与季节和气候变量相关的相对风险(RR)。随后的分析将 SCD 分为有和没有先行 CHD(意外 SCD)的患者。 结果 1979 年至 2002 年间,发生了 2,676 例 MI 和 2,066 例 SCD。与夏季相比,SCD 的年龄、性别和年份调整 RR 有所增加,而 MI 则不然(1.17,95% 置信区间 [CI] 1.03 至 1.32)和低温(1.20,95% CI 1.07 至 1.35,温度低于 0°C 与 18°C 至 30°C 相比)。意外 SCD 的这些关联性比 SCD 与既往 CHD 的关联性更强 (p < 0.05)。对所有气候变量进行调整后,低温与意外 SCD 风险大幅增加相关(RR = 1.38,95% CI 1.10 至 1.73),而与冬季的相关性下降(RR = 1.06,95% CI 0.83 至 1.35)。 结论 这些数据表明,SCD 的冬季高峰可以通过日常天气来解释。
OBJECTIVES We assessed the relationship of season and weather types with myocardial infarction (MI) and sudden cardiac death (SCD) in a geographically defined population, and tested the hypothesis that the increased risk in winter was related to weather.BACKGROUND Winter peaks in coronary heart disease (CHD) have been documented. Yet, it is uncertain if seasonality exists for both incident events and deaths, and the role of weather conditions is not clear.METHODS The daily occurrence of incident MI and SCD in Olmsted County was examined with data from the National Weather Service. Poisson regression models were used to assess the relative risks (RRs) associated with season and climatic variables. Subsequent analysis stratified SCD into those with and without antecedent CHD (unexpected SCD).RESULTS Between 1979 and 2002, 2,676 MI and 2,066 SCD occurred. The age-, gender-, and year-adjusted RR of SCD, but not of MI, was increased in winter versus summer (1.17, 95% confidence interval [CI] 1.03 to 1.32) and in low temperatures (1.20, 95% Cl 1.07 to 1.35, for temperatures below 0 degrees C vs. 18 degrees C to 30 degrees C). These associations were stronger for unexpected SCD than for SCD with prior CHD (p < 0.05). After adjustment for all climatic variables, low temperature was associated with a large increase in the risk of unexpected SCD (RR = 1.38, 95% CI 1.10 to 1.73), while the association with winter declined (RR = 1.06, 95% Cl 0.83 to 1.35).CONCLUSIONS These data suggest that the winter peak in SCD can be accounted for by daily weather.