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一般人群静息心率累积暴露与中风风险的关联:开滦队列研究

Association of Cumulative Exposure to Resting Heart Rate with Risk of Stroke in General Population: The Kailuan Cohort Study.

作者信息

Yu Junxing, Dai Liye, Zhao Quanhui, Liu Xiaoxue, Chen Shuohua, Wang Anxin, Su Zhaoping, Wu Shouling

机构信息

Graduate School, North China University of Science and Technology, Tangshan, China; Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

出版信息

J Stroke Cerebrovasc Dis. 2017 Nov;26(11):2501-2509. doi: 10.1016/j.jstrokecerebrovasdis.2017.05.037. Epub 2017 Aug 24.

Abstract

BACKGROUND AND PURPOSE

It remains unclear whether resting heart rate (RHR), particularly cumulative exposure to resting heart rate (cumRHR), is associated with stroke. The aim of our study was to prospectively explore the relationship between cumRHR and stroke morbidity.

MATERIALS AND METHODS

The Kailuan study is a prospective longitudinal cohort study on cerebrovascular events and cardiovascular factors. Hazard ratios (HRs) with 95% confidence interval (CI) were calculated using a Cox competing risk model.

RESULTS

A total of 46,568 participants were included in the final analysis. In the observation population, we identified 851 stroke events and 1012 incident death cases in the 4.98 ± .51 year followed-up. Each 46.74 (beats/min) × year increase in heart rate was associated with a 12% increase in the risk of stroke (HR = 1.12, 95% CI = 1.05-1.20). In the categorical model, the highest quartile had an increased risk of stroke (HR = 1.43, 95% CI = 1.13-1.81), compared with the bottom quartile. Gender and age had no interaction with cumRHR for the risk of stroke.

CONCLUSION

Increase of exposure to cumulative heart rate is independently associated with a higher risk of stroke in the general population.

摘要

背景与目的

静息心率(RHR),尤其是累积静息心率暴露(cumRHR)是否与中风相关仍不明确。我们研究的目的是前瞻性地探讨cumRHR与中风发病率之间的关系。

材料与方法

开滦研究是一项关于脑血管事件和心血管因素的前瞻性纵向队列研究。使用Cox竞争风险模型计算95%置信区间(CI)的风险比(HRs)。

结果

最终分析纳入了46,568名参与者。在观察人群中,在4.98±0.51年的随访期间,我们确定了851例中风事件和1012例新发死亡病例。心率每增加46.74(次/分钟)×年,中风风险增加12%(HR = 1.12,95%CI = 1.05 - 1.20)。在分类模型中,与最低四分位数相比,最高四分位数的中风风险增加(HR = 1.43,95%CI = 1.13 - 1.81)。性别和年龄与cumRHR对中风风险无交互作用。

结论

累积心率暴露增加与普通人群中风风险较高独立相关。

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