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利用1997 - 2006年韩国国民健康保险索赔数据库分析韩国急性心肌梗死患者病死率的季节性变化。

Seasonal variation in case fatality rate in Korean patients with acute myocardial infarction using the 1997-2006 Korean National Health Insurance Claims Database.

作者信息

Hong Jae-Seok, Kang Hee-Chung

出版信息

Acta Cardiol. 2014 Oct;69(5):513-21. doi: 10.1080/ac.69.5.3044878.

DOI:10.1080/ac.69.5.3044878
PMID:25638839
Abstract

OBJECTIVE

Seasonal and monthly variation in the occurrence and case fatality rate (CFR) of acute myocardial infarction (AMI) have been reported. We examined the seasonal variation in hospital admissions and CFR in Korean patients with AMI, and analysed the influence of season on fatality risk for AMI.

METHODS

We used the 10-year administrative database of the Korean National Health Insurance covering the entire population of Korea. The data included 265,935 AMI events that occurred in 228,601 patients who were admitted to hospitals across Korea from 1997-2006.

RESULTS

Hospital admissions and CFR for AMI were highest in winter and lowest in summer. The fatality risk for AMI was significantly higher in spring (odds ratio [OR]: 1.06, confidence interval [CI]: 1.02-1.10), autumn (OR: 1.08, CI:1.04-1.12), and winter (OR: 1.11, CI:1.07-1.15) than in summer. Interestingly, among the summer months, the fatality risk for men was higher in August (OR: 1.10, CI: 1.01-1.19) than in June.

CONCLUSIONS

Our findings support the hypothesis that AMI may be triggered by events external to atherosclerotic plaques. This seasonal evidence supports the idea that a disease forecast system may be developed using temperature information in Korea.

摘要

目的

已有报道称急性心肌梗死(AMI)的发病率和病死率(CFR)存在季节性和月度变化。我们研究了韩国AMI患者的住院情况和CFR的季节性变化,并分析了季节对AMI死亡风险的影响。

方法

我们使用了覆盖韩国全体人口的韩国国民健康保险10年管理数据库。数据包括1997年至2006年期间韩国各地医院收治的228,601例患者中发生的265,935起AMI事件。

结果

AMI的住院率和CFR在冬季最高,夏季最低。AMI的死亡风险在春季(比值比[OR]:1.06,置信区间[CI]:1.02 - 1.10)、秋季(OR:1.08,CI:1.04 - 1.12)和冬季(OR:1.11,CI:1.07 - 1.15)显著高于夏季。有趣的是,在夏季各月份中,男性在8月的死亡风险(OR:1.10,CI:1.01 - 1.19)高于6月。

结论

我们的研究结果支持了AMI可能由动脉粥样硬化斑块外部事件触发的假设。这一季节性证据支持了在韩国利用温度信息开发疾病预测系统的想法。

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