首页> 外文期刊>European journal of heart failure: journal of the Working Group on Heart Failure of the European Society of Cardiology >Potential value of automated daily screening of cardiac resynchronization therapy defibrillator diagnostics for prediction of major cardiovascular events: results from Home-CARE (Home Monitoring in Cardiac Resynchronization Therapy) study.
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Potential value of automated daily screening of cardiac resynchronization therapy defibrillator diagnostics for prediction of major cardiovascular events: results from Home-CARE (Home Monitoring in Cardiac Resynchronization Therapy) study.

机译:心脏再同步治疗除颤器诊断的每日自动筛查对重大心血管事件的预测的潜在价值:Home-CARE(心脏再同步治疗中的家庭监测)研究的结果。

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AIM: To investigate whether diagnostic data from implanted cardiac resynchronization therapy defibrillators (CRT-Ds) retrieved automatically at 24 h intervals via a Home Monitoring function can enable dynamic prediction of cardiovascular hospitalization and death. METHODS AND RESULTS: Three hundred and seventy-seven heart failure patients received CRT-Ds with Home Monitoring option. Data on all deaths and hospitalizations due to cardiovascular reasons and Home Monitoring data were collected prospectively during 1-year follow-up to develop a predictive algorithm with a predefined specificity of 99.5%. Seven parameters were included in the algorithm: mean heart rate over 24 h, heart rate at rest, patient activity, frequency of ventricular extrasystoles, atrial-atrial intervals (heart rate variability), right ventricular pacing impedance, and painless shock impedance. The algorithm was developed using a 25-day monitoring window ending 3 days before hospitalization or death. While the retrospective sensitivities of the individual parameters ranged from 23.6 to 50.0%, the combination of all parameters was 65.4% sensitive in detecting cardiovascular hospitalizations and deaths with 99.5% specificity (corresponding to 1.83 false-positive detections per patient-year of follow-up). The estimated relative risk of an event was 7.15-fold higher after a positive predictor finding than after a negative predictor finding. CONCLUSION: We developed an automated algorithm for dynamic prediction of cardiovascular events in patients treated with CRT-D devices capable of daily transmission of their diagnostic data via Home Monitoring. This tool may increase patients' quality of life and reduce morbidity, mortality, and health economic burden, it now warrants prospective studies. ClinicalTrials.gov NCT00376116.
机译:目的:研究通过家庭监护功能每隔24小时自动检索一次植入的心脏再同步治疗除颤器(CRT-Ds)的诊断数据是否可以动态预测心血管疾病的住院和死亡情况。方法和结果:377例心力衰竭患者接受了带有家庭监护选项的CRT-D。在1年的随访中前瞻性地收集了由于心血管原因导致的所有死亡和住院数据以及家庭监测数据,以开发出预测算法,其预定的特异性为99.5%。该算法包含七个参数:24小时平均心率,静息心率,患者活动,心室收缩前期频率,心房间隔(心率变异性),右心室起搏阻抗和无痛电击阻抗。使用住院或死亡前3天结束的25天监控窗口开发了该算法。尽管各个参数的回顾性敏感性为23.6%至50.0%,但所有参数的组合对检测心血管疾病住院和死亡的敏感性为65.4%,特异性为99.5%(对应于每位患者每年随访1.83例假阳性检测结果) )。阳性预测指标发现后事件的估计相对危险度比阴性预测指标发现高7.15倍。结论:我们开发了一种自动算法,用于动态预测使用CRT-D设备治疗的患者的心血管事件,该设备能够通过家庭监测每天传输其诊断数据。该工具可以提高患者的生活质量,并降低发病率,死亡率和健康经济负担,现在值得进行前瞻性研究。 ClinicalTrials.gov NCT00376116。

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