Hayano Junichiro, Ueda Norihiro, Kisohara Masaya, Yuda Emi, Carney Robert M, Blumenthal James A
Department of Medical Education, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Tohoku University Graduate School of Engineering, Sendai, Japan.
Front Neurosci. 2021 Jan 28;15:610955. doi: 10.3389/fnins.2021.610955. eCollection 2021.
Heart rate variability (HRV) and heart rate (HR) dynamics are used to predict the survival probability of patients after acute myocardial infarction (AMI), but the association has been established in patients with mixed levels of left ventricular ejection fraction (LVEF).
We investigated whether the survival predictors of HRV and HR dynamics depend on LVEF after AMI.
We studied 687 post-AMI patients including 147 with LVEF ≤35% and 540 with LVEF >35%, of which 23 (16%) and 22 (4%) died during the 25 month follow-up period, respectively. None had an implanted cardioverter-defibrillator. From baseline 24 h ECG, the standard deviation (SDNN), root mean square of successive difference (rMSSD), percentage of successive difference >50 ms (pNN50) of normal-to-normal R-R interval, ultra-low (ULF), very-low (VLF), low (LF), and high (HF) frequency power, deceleration capacity (DC), short-term scaling exponent (α), non-Gaussianity index (λ ), and the amplitude of cyclic variation of HR (Acv) were calculated.
The predictors were categorized into three clusters; DC, SDNN, α, ULF, VLF, LF, and Acv as Cluster 1, λ independently as Cluster 2, and rMSSD, pNN50, and HF as Cluster 3. In univariate analyses, mortality was best predicted by indices belonging to Cluster 1 regardless of LVEF. In multivariate analyses, however, mortality in patients with low LVEF was best predicted by the combinations of Cluster 1 predictors or Cluster 1 and 3 predictors, whereas in patients without low LVEF, it was best predicted by the combinations of Cluster 1 and 2 predictors.
The mortality risk in post-AMI patients with low LVEF is predicted by indices reflecting decreased HRV or HR responsiveness and cardiac parasympathetic dysfunction, whereas in patients without low LVEF, the risk is predicted by a combination of indices that reflect decreased HRV or HR responsiveness and indicator that reflects abrupt large HR changes suggesting sympathetic involvement.
心率变异性(HRV)和心率(HR)动态变化用于预测急性心肌梗死(AMI)患者的生存概率,但这种关联在左心室射血分数(LVEF)水平各异的患者中已得到证实。
我们研究了AMI后HRV和HR动态变化的生存预测指标是否依赖于LVEF。
我们研究了687例AMI后患者,其中147例LVEF≤35%,540例LVEF>35%,在25个月的随访期内,分别有23例(16%)和22例(4%)死亡。所有患者均未植入心脏复律除颤器。从基线24小时心电图中,计算正常到正常R-R间期的标准差(SDNN)、逐差均方根(rMSSD)、逐差>50 ms的百分比(pNN50)、超低频(ULF)、极低频(VLF)、低频(LF)和高频(HF)功率、减速能力(DC)、短期标度指数(α)、非高斯性指数(λ)以及HR的周期性变化幅度(Acv)。
预测指标分为三类;DC、SDNN、α、ULF、VLF、LF和Acv为第1类,λ单独为第2类,rMSSD、pNN50和HF为第3类。在单因素分析中,无论LVEF如何,第1类指标对死亡率的预测效果最佳。然而,在多因素分析中,LVEF低的患者死亡率最好由第1类预测指标或第1类和第3类预测指标的组合来预测,而在LVEF不低的患者中,最好由第1类和第2类预测指标的组合来预测。
LVEF低的AMI后患者的死亡风险由反映HRV降低或HR反应性降低以及心脏副交感神经功能障碍的指标预测,而在LVEF不低的患者中,风险由反映HRV降低或HR反应性降低的指标与反映提示交感神经参与的HR突然大幅变化的指标的组合来预测。