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Risk Stratification in Congestive Heart Failure Patients Using a Model-Based Approach to Heart Rate Turbulence Characterization

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Heart rate turbulence (HRT) is commonly assessed by two parameters: turbulence onset (TO) and turbulence slope (TS), both obtained by averaging RR tachograms following a ventricular premature beat (VPB). It has been recently shown that a model-based detection-theoretical approach results in HRT indices outperforming TO/TS in identifying the presence or absence of HRT. The aim of this work is to evaluate the risk stratification ability of this approach, as compared with the classical parameters TO and TS, in a population of 96 ischemic patients with mild to moderate congestive heart failure. We found significant differences (Mann-Withney U test) between survivors and cardiac death groups for TS and the new parameter T_Σ(x). Survival analysis showed that T_Σ(x) is the HRT index with highest association to risk of cardiac death (hazard ratio=2.8, p =0.008). Results show improved risk stratification of the new description of HRT with respect to classical parameters.
机译:心率湍流(HRT)通常通过两个参数评估:通过在室性过早搏动(VPB)之后平均RR Tachapars获得RR Tachapars而获得的湍流发作(至)和湍流斜率(TS)。最近已经表明,基于模型的检测理论方法导致HRT指标在鉴定HRT的存在或不存在时表现出优于/ TS。这项工作的目的是评估这种方法的风险分层能力,与古典参数和TS的常规参数相比,96例缺血性患者,以温和至中度充血性心力衰竭。我们发现TS和新参数T_σ(X)之间的幸存者和心脏死亡团之间的显着差异(Mann-winney U测试)。存活分析表明,T_σ(X)是具有最高关联的HRT指数与心脏死亡的风险最高(危险比= 2.8,P = 0.008)。结果表明,改进了HRT关于古典参数的新描述的风险分层。

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