Cardiology and Arrhythmology Clinic, University Hospital "Azienda Ospedaliero-Universitaria delle Marche", Ancona, Italy.
Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy.
J Cardiovasc Electrophysiol. 2023 May;34(5):1257-1267. doi: 10.1111/jce.15898. Epub 2023 Apr 10.
The prediction of ventricular tachyarrhythmias among patients with implantable cardioverter defibrillators is difficult with available clinical tools. We sought to assess whether in patients with heart failure (HF) and reduced ejection fraction with defibrillators, physiological sensor-based HF status, as summarized by the HeartLogic index, could predict appropriate device therapies.
Five hundred and sixty-eight consecutive HF patients with defibrillators (n = 158, 28%) or cardiac resynchronization therapy-defibrillators (n = 410, 72%) were included in this prospective observational multicenter analysis. The association of both HeartLogic index and its physiological components with defibrillator shocks and overall appropriate therapies was assessed in regression and time-dependent Cox models.
Over a follow-up of 25 (15-35) months, 122 (21%) patients received an appropriate device therapy (shock, n = 74, 13%), while the HeartLogic index crossed the threshold value (alert, HeartLogic ≥ 16) 1200 times (0.71 alerts/patient-year) in 370 (65%) subjects. The occurrence of ≥1 HeartLogic alert was significantly associated with both appropriate shocks (Hazard ratios [HR]: 2.44, 95% confidence interval [CI]: 1.49-3.97, p = .003), and any appropriate defibrillator therapies. In multivariable time-dependent Cox models, weekly IN-alert state was the strongest predictor of appropriate defibrillator shocks (HR: 2.94, 95% CI: 1.73-5.01, p < .001) and overall therapies. Compared with stable patients, patients with appropriate shocks had significantly higher values of HeartLogic index, third heart sound amplitude, and resting heart rate 30-60 days before device therapy.
The HeartLogic index is an independent dynamic predictor of appropriate defibrillator therapies. The combined index and its individual physiological components change before the arrhythmic event occurs.
目前可用的临床工具很难预测植入式心脏复律除颤器患者的室性心动过速/心室颤动。我们旨在评估对于心力衰竭(HF)并伴有射血分数降低的患者,以心脏逻辑指数(HeartLogic index)为代表的基于生理传感器的 HF 状态能否预测恰当的器械治疗。
这项前瞻性、观察性多中心分析纳入了 568 例连续的植入式心脏复律除颤器(n=158,28%)或心脏再同步治疗除颤器(n=410,72%)HF 患者。通过回归和时间依赖性 Cox 模型评估了心脏逻辑指数及其生理成分与除颤器电击和整体恰当治疗之间的相关性。
在 25(15-35)个月的随访期间,122 例(21%)患者接受了恰当的器械治疗(电击,n=74,13%),而 370 例(65%)患者的心脏逻辑指数(HeartLogic index)超过了阈值(报警,HeartLogic≥16)1200 次(0.71 次/患者年)。出现≥1 次心脏逻辑指数报警与恰当电击(风险比[HR]:2.44,95%置信区间[CI]:1.49-3.97,p=0.003)和任何恰当的除颤器治疗均显著相关。在多变量时间依赖性 Cox 模型中,每周的 IN-报警状态是恰当除颤电击(HR:2.94,95%CI:1.73-5.01,p<0.001)和整体治疗的最强预测因子。与稳定患者相比,恰当电击的患者在接受器械治疗前 30-60 天的心脏逻辑指数、第三心音幅度和静息心率显著更高。
心脏逻辑指数是恰当除颤器治疗的独立动态预测因子。该综合指数及其各个生理成分在心律失常事件发生之前发生变化。