Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
School of Medical Science, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Clin Cardiol. 2024 Feb;47(2):e24241. doi: 10.1002/clc.24241.
Early identification of individuals at risk of developing heart failure (HF) may improve poor prognosis. A dominant sympathetic activity is common in HF and associated with worse outcomes; however, less is known about the autonomic balance before HF.
A low frequency/high frequency (L-F/H-F) ratio, index of heart rate variability, and marker of the autonomic balance predict the development of HF and may improve the performance of the HF prediction model when added to traditional cardiovascular (CV) risk factors.
Individuals in the PIVUS (Prospective Investigation of the Vasculature in Uppsala Seniors) study (n = 1016, all aged 70 years) were included. Exclusion criteria were prevalent HF, electrocardiographic QRS duration ≥130 millisecond, major arrhythmias, or conduction blocks at baseline. The association between the L-F/H-F ratio and incident HF was assessed using Cox proportional hazard analysis. The C-statistic evaluated whether adding the L-F/H-F-ratio to traditional CV risk factors improved the discrimination of incident HF.
HF developed in 107/836 study participants during 15 years of follow-up. A nonlinear, inverse association between the L-F/H-F ratio and incident HF was mainly driven by an L-F/H-F ratio of <30. The association curve was flat for higher values (hazard ratio, HR for the total curve = 0.78 [95% confidence interval, CI: 0.69-0.88, p < .001]; HR = 2 for L-F/H-F ratio = 10). The traditional prediction model improved by 3.3% (p < .03) when the L-F/H-F ratio was added.
An L-F/H-F ratio of <30 was related to incident HF and improved HF prediction when added to traditional CV risk factors.
早期识别有发生心力衰竭(HF)风险的个体可能改善预后不良。HF 患者常存在交感神经活动亢进,并与预后更差相关;然而,HF 之前自主神经平衡的相关信息知之甚少。
心率变异性的低频/高频(L-F/H-F)比值和自主神经平衡的标志物可预测 HF 的发生,当添加到传统心血管(CV)危险因素中时,可能改善 HF 预测模型的性能。
本研究纳入了 PIVUS(乌普萨拉老年人血管前瞻性研究)研究中的个体(n=1016,年龄均为 70 岁)。排除标准为:HF 病史、心电图 QRS 持续时间≥130 毫秒、基线时存在严重心律失常或传导阻滞。使用 Cox 比例风险分析评估 L-F/H-F 比值与新发 HF 之间的相关性。C 统计量评估了将 L-F/H-F 比值添加到传统 CV 危险因素中是否改善了新发 HF 的区分度。
在 15 年的随访期间,107/836 名研究参与者发生 HF。L-F/H-F 比值与新发 HF 之间呈非线性、反向关联,主要由 L-F/H-F 比值<30 驱动。对于更高的值,关联曲线变平(总曲线的危险比 HR=0.78[95%置信区间,CI:0.69-0.88,p<0.001];HR=2,L-F/H-F 比值=10)。当添加 L-F/H-F 比值时,传统预测模型的性能提高了 3.3%(p<0.03)。
L-F/H-F 比值<30 与新发 HF 相关,当添加到传统 CV 危险因素中时可改善 HF 预测。