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静息心率与高血压患者心力衰竭事件的关系:中国开滦队列研究。

Relationship between resting heart rate and incident heart failure in patients with hypertension: The Kailuan Cohort Study in China.

机构信息

Department of Cardiology, Chinese People's Liberation Army General Hospital, Beijing, China.

Department of Cardiology, Kailuan Hospital, Tangshan, China.

出版信息

J Clin Hypertens (Greenwich). 2020 Dec;22(12):2325-2331. doi: 10.1111/jch.14062. Epub 2020 Oct 5.

Abstract

An elevated heart rate increases the risk of cardiovascular disease, but the relationship between resting heart rate (RHR) and the risk of heart failure (HF) in hypertensive patients is unclear. This study was performed to assess the relationship between elevated RHR and incident HF in hypertensive patients. In total, 16 286 hypertensive patients from the Kailuan cohort were enrolled and underwent three physical examinations. According to mean RHR based on quartile, the hypertensive patients were divided into four groups: Q1 (mean RHR ≤ 69 bpm), Q2 (69 bpm < mean RHR ≤ 74 bpm), Q3 (74 bpm < mean RHR ≤ 79 bpm), and Q4 (mean RHR > 79 bpm). The cumulative mortality rate was analyzed by using the Kaplan-Meier method, with comparisons among RHR quartiles. Cox proportional hazards regression models and restricted cubic spline models were established to evaluate the association between RHR and risk of incident HF. After adjustment for confounders, the hazard ratio (HR) for HF was 1.97(95% CI: 1.28-3.04, P < .001) in the fourth quartile compared to the first quartile. Each 1-standard deviation [10 (beats/min)] increase in RHR was associated with a 40% increase in the risk of incident HF. Restricted cubic spline models presented a linear relationship between RHR and incident HF. Our study suggests that elevated RHR is associated with an enhanced risk of HF in hypertensive patients.

摘要

心率升高会增加心血管疾病的风险,但高血压患者静息心率(RHR)与心力衰竭(HF)风险之间的关系尚不清楚。本研究旨在评估高血压患者中升高的 RHR 与心力衰竭事件之间的关系。共纳入了来自开滦队列的 16286 例高血压患者,并进行了三次体检。根据 RHR 的平均值进行四分位分组,将高血压患者分为四组:Q1(平均 RHR≤69bpm)、Q2(69bpm<RHR≤74bpm)、Q3(74bpm<RHR≤79bpm)和 Q4(平均 RHR>79bpm)。采用 Kaplan-Meier 方法分析累积死亡率,并比较 RHR 四分位组之间的差异。建立 Cox 比例风险回归模型和限制性立方样条模型,以评估 RHR 与新发 HF 风险之间的关系。在校正混杂因素后,与第一四分位组相比,第四四分位组 HF 的风险比(HR)为 1.97(95%CI:1.28-3.04,P<0.001)。RHR 每增加 1 个标准差(10 次/分),新发 HF 的风险增加 40%。限制性立方样条模型显示 RHR 与新发 HF 之间呈线性关系。本研究表明,高血压患者的 RHR 升高与 HF 风险增加相关。

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