Department of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Department of Rehabilitation, Kitasato University School of Allied Health Sciences, Sagamihara, Japan.
ESC Heart Fail. 2022 Oct;9(5):3092-3100. doi: 10.1002/ehf2.14035. Epub 2022 Jun 24.
The analysis of heart rate (HR) changes, such as the HR variability or HR turbulence, has been reported as a marker of cardiovascular events during sinus rhythm; however, those relationships during atrial fibrillation (AF) remain controversial, and those parameters are not commonly used in AF patients. We sought to investigate the relationship between a simple index focused on the HR and heart failure (HF) events in patients with permanent AF.
We enrolled 198 patients with permanent AF and evaluated the HR range, defined as the maximum HR minus the minimum HR on 24-h Holter electrocardiogram recordings. The patients were divided into two groups, i.e., the larger (n = 101) and smaller (n = 97) HR range (HRR) groups, determined by the median value. The HF events were defined as hospitalizations for HF or urgent hospital visits due to exacerbations of one's HF status. The observation period of this study was set at 5 years from registration. The median age was 73 (68-77) years, and 29% were female. The median HRR was 84 (63-118) beats per minutes (bpm). During the observational period of 1825 days (median), HF events occurred in 37 (0.047 per patient-year) patients. In a log-rank test, the larger HRR group had more frequent HF events than the smaller HRR group (P = 0.0078). In the adjusted Cox proportional hazards model using the significantly different factors from the univariate analysis (Model 1) and factors and medications associated with HF (Model 2), the larger HRR group had a higher prevalence of HF events than the smaller HRR group for both models [Model 1, adjusted hazard ratio = 3.21, 95% confidence interval (CI) 1.593-6.708, P = 0.0009; Model 2, adjusted hazard ratio = 3.12, 95% CI 1.522-6.685, P = 0.002]. When analysed using the time-dependent Cox proportional hazards model, the HRR was associated with HF with a statistically significant difference in both the univariate and multivariate analyses [hazard ratio = 1.01, 95% CI 1.006-1.020, P = 0.0002; Model 1, adjusted hazard ratio = 1.02, 95% CI 1.011-1.027, P < 0.0001; Model 2, adjusted hazard ratio = 1.01, 95% CI 1.008-1.021, P = 0.0003). There was no significant difference in the chronotropic medications between the two groups.
In patients with permanent AF, a larger HRR was associated with HF events.
心率(HR)变化的分析,如心率变异性或心率震荡,已被报道为窦性心律期间心血管事件的标志物;然而,在心房颤动(AF)期间,这些关系仍存在争议,并且这些参数在 AF 患者中并不常用。我们旨在研究在永久性 AF 患者中,一个专注于 HR 的简单指标与心力衰竭(HF)事件之间的关系。
我们纳入了 198 例永久性 AF 患者,并评估了 24 小时动态心电图记录中最大 HR 减去最小 HR 的 HR 范围。根据中位数将患者分为两组,即较大(n=101)和较小(n=97)HR 范围(HRR)组。HF 事件定义为因 HF 住院或因 HF 加重而紧急就诊。本研究的观察期设定为注册后 5 年。中位年龄为 73(68-77)岁,29%为女性。中位 HRR 为 84(63-118)次/分钟(bpm)。在 1825 天(中位数)的观察期内,37 例(0.047 例/患者年)患者发生 HF 事件。在对数秩检验中,较大的 HRR 组比较小的 HRR 组更频繁发生 HF 事件(P=0.0078)。在使用单因素分析中显著不同的因素(模型 1)和与 HF 相关的因素和药物(模型 2)的校正 Cox 比例风险模型中,较大的 HRR 组比较小的 HRR 组 HF 事件的发生率更高,两个模型均如此[模型 1,校正风险比=3.21,95%置信区间(CI)1.593-6.708,P=0.0009;模型 2,校正风险比=3.12,95%CI 1.522-6.685,P=0.002]。当使用时间依赖性 Cox 比例风险模型进行分析时,HRR 与 HF 相关,在单因素和多因素分析中均具有统计学意义[风险比=1.01,95%CI 1.006-1.020,P=0.0002;模型 1,校正风险比=1.02,95%CI 1.011-1.027,P<0.0001;模型 2,校正风险比=1.01,95%CI 1.008-1.021,P=0.0003]。两组之间的变时药物没有显著差异。
在永久性 AF 患者中,较大的 HRR 与 HF 事件相关。