多传感器植入式除颤器算法测量的双心室起搏量与心衰状态之间的关系

IF 2.6 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiovascular digital health journal Pub Date : 2024-06-01 DOI:10.1016/j.cvdhj.2024.02.005
Luca Santini MD , Leonardo Calò MD , Antonio D’Onofrio MD , Michele Manzo MD , Antonio Dello Russo MD , Gianluca Savarese MD , Domenico Pecora MD , Claudia Amellone MD , Vincenzo Ezio Santobuono MD, PhD , Raimondo Calvanese MD , Miguel Viscusi MD , Ennio Pisanò MD , Antonio Pangallo MD , Antonio Rapacciuolo MD , Matteo Bertini MD, PhD , Carlo Lavalle MD , Amato Santoro MD , Monica Campari MS , Sergio Valsecchi PhD , Giuseppe Boriani MD, PhD
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引用次数: 0

摘要

背景达到较高的双心室起搏率(BiV%)对于优化心脏再同步化治疗(CRT)的疗效至关重要。本研究旨在调查 CRT ICD 患者每日 BiV% 与其 HF 状态之间的关系,该状态使用 HeartLogic 算法进行评估。结果在随访期间,186 名患者记录了 619 次 HeartLogic 警报。总体而言,与最佳临床状态相关的每日值(最高的第一心音、胸内阻抗、患者活动;最低的综合指数、第三心音、呼吸频率、夜间心率)与超过 99% 的 BiV% 相关。我们发现有 455 例 BiV% 在持续起搏后降至 98% 以下的情况。较长时间的 BiV% 下降(危险比:2.68;95% CI:1.02-9.72;P=0.045)和较低的 BiV% 下降(危险比:3.97;95% CI:1.74-9.06;P=0.001)与较高的 HeartLogic 警报风险有关。BiV% 下降超过 7 天预测警报的灵敏度为 90%(95% CI [74%-98%]),特异度为 55%(95% CI [51%-60%]),而 BiV%≤96% 预测警报的灵敏度为 74%(95% CI [55%-88%]),特异度为 81%(95% CI [77%-85%])。重要的是,即使起搏比例和持续时间略有减少,也会增加高频警报的风险。
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Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm

Background

Achieving a high biventricular pacing percentage (BiV%) is crucial for optimizing outcomes in cardiac resynchronization therapy (CRT). The HeartLogic index, a multiparametric heart failure (HF) risk score, incorporates implantable cardioverter-defibrillator (ICD)-measured variables and has demonstrated its predictive ability for impending HF decompensation.

Objective

This study aimed to investigate the relationship between daily BiV% in CRT ICD patients and their HF status, assessed using the HeartLogic algorithm.

Methods

The HeartLogic algorithm was activated in 306 patients across 26 centers, with a median follow-up of 26 months (25th–75th percentile: 15–37).

Results

During the follow-up period, 619 HeartLogic alerts were recorded in 186 patients. Overall, daily values associated with the best clinical status (highest first heart sound, intrathoracic impedance, patient activity; lowest combined index, third heart sound, respiration rate, night heart rate) were associated with a BiV% exceeding 99%. We identified 455 instances of BiV% dropping below 98% after consistent pacing periods. Longer episodes of reduced BiV% (hazard ratio: 2.68; 95% CI: 1.02–9.72; P = .045) and lower BiV% (hazard ratio: 3.97; 95% CI: 1.74–9.06; P=.001) were linked to a higher risk of HeartLogic alerts. BiV% drops exceeding 7 days predicted alerts with 90% sensitivity (95% CI [74%–98%]) and 55% specificity (95% CI [51%–60%]), while BiV% ≤96% predicted alerts with 74% sensitivity (95% CI [55%–88%]) and 81% specificity (95% CI [77%–85%]).

Conclusion

A clear correlation was observed between reduced daily BiV% and worsening clinical conditions, as indicated by the HeartLogic index. Importantly, even minor reductions in pacing percentage and duration were associated with an increased risk of HF alerts.

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来源期刊
Cardiovascular digital health journal
Cardiovascular digital health journal Cardiology and Cardiovascular Medicine
CiteScore
4.20
自引率
0.00%
发文量
0
审稿时长
58 days
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