窦性心律心力衰竭患者的累积静息心率负荷与心血管风险。

IF 4.9 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Jun Hao, Jingyang Wang, Rui Shi, Qi Wang, Xiaohua Cheng, Jiayu Feng, Yanmin Yang, Yuxiao Hu, Tao Chen, Kangyu Chen
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引用次数: 0

摘要

简介和目的:静息心率是一种容易获得的生命体征,具有重要的预后意义。然而,传统的测量方法忽略了心率随时间升高的幅度和持续时间。本研究评估了窦性心律慢性心力衰竭(HF)患者的累积静息心率负荷与不良结局之间的关系。方法:对5项随机对照试验(BEST、GUIDE-IT、HF-ACTION、RELAX、TOPCAT)的数据进行分析。累积心率负荷计算为心率≥70次/分钟(bpm)时的曲线下面积(AUC),相对于结果前的总AUC。主要终点是主要心脏不良事件(MACE),定义为心血管死亡和HF住院的综合。Cox比例风险回归模型用于检验与结果的关联。结果:共纳入5428例患者。较高的累积静息心率负荷与MACE风险增加显著相关(危险比[HR], 1.31;95% CI, 1.24-1.38),心血管死亡(HR, 1.17;95% CI, 1.08-1.27),心衰住院(HR, 1.34;95% CI, 1.26-1.43),全因死亡(HR, 1.20;95% CI, 1.12-1.29),以及任何住院治疗(HR, 1.20;95% ci, 1.15-1.25)。与基线心率、平均心率、心率标准差和心率在目标范围内的时间相比,累积静息心率负荷对所有结局的预测价值都更高(P)。结论:累积静息心率负荷对慢性心衰不良结局的预测价值更强。将这一参数纳入临床实践可以改善风险分层,并有助于识别高危患者,这些患者可以从强化监测或治疗干预中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cumulative resting heart rate load and cardiovascular risk in patients with heart failure in sinus rhythm.

Introduction and objectives: Resting heart rate is a readily available vital sign with important prognostic significance. However, traditional measures overlook both the magnitude and duration of elevated heart rate over time. This study assessed the association between cumulative resting heart rate load and adverse outcomes in patients with chronic heart failure (HF) in sinus rhythm.

Methods: Data from 5 randomized controlled trials (BEST, GUIDE-IT, HF-ACTION, RELAX, and TOPCAT) were analyzed. Cumulative heart rate load was calculated as the area under the curve (AUC) for heart rate ≥70 beats per minute (bpm), relative to the total AUC prior to outcomes. The primary outcome was major adverse cardiac events (MACE), defined as the composite of cardiovascular death and hospitalization for HF. Cox proportional hazards regression models were used to examine associations with outcomes.

Results: A total of 5428 patients were included. Higher cumulative resting heart rate load was significantly associated with increased risk of MACE (hazard ratio [HR], 1.31; 95% CI, 1.24-1.38), cardiovascular death (HR, 1.17; 95% CI, 1.08-1.27), hospitalization for HF (HR, 1.34; 95% CI, 1.26-1.43), all-cause death (HR, 1.20; 95% CI, 1.12-1.29), and any hospitalization (HR, 1.20; 95% CI, 1.15-1.25). Cumulative resting heart rate load demonstrated superior predictive value for all outcomes compared with baseline heart rate, mean heart rate, heart rate standard deviation, and heart rate time in the target range with improvements in C-statistics, net reclassification improvement, and integrated discrimination improvement when added to base models.

Conclusions: Cumulative resting heart rate load provides stronger prognostic value for adverse outcomes in chronic HF. Incorporating this parameter into clinical practice may improve risk stratification and help identify high-risk patients who could benefit from intensive monitoring or therapeutic interventions.

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CiteScore
7.70
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