使用多参数 ICD HeartLogic 警报进行远程心衰管理的临床影响。

IF 7.2 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Javier de Juan Bagudá, Rocío Cózar León, Juan J Gavira Gómez, Marta Pachón, Josebe Goirigolzarri Artaza, Virgilio Martínez Mateo, Vanessa Escolar Pérez, Ángel Manuel Iniesta Manjavacas, Nuria Rivas Gándara, Jesús Álvarez-García, Jesús Gabriel Sánchez Ramos, Cristina Aguilera Agudo, José Manuel Rubín López, Alfonso Macías Gallego, Silvia López Fernández, Luis González Torres, Juan Gabriel Martínez, Natalia Marrero Negrín, Javier Ramos Maqueda, Mercedes Cabrera Ramos, José María Medina Gil, Carlos De Diego Rus, Francisco José Bermúdez Jiménez, Inés Madrazo, Beatriz Díaz Molina, Marta Cobo Marcos, Ana Delia Ruiz Duthil, David Cordero, Ana Belén Méndez Fernández, Laura Peña Conde, María F Arcocha Torres, Nicasio Pérez Castellano, Miguel Á Arias, Ignacio García Bolao, Ernesto Díaz Infante, Monica Campari, Fernando Arribas Ynsaurriaga, Juan F Delgado Jiménez, Sergio Valsecchi, Rafael Salguero Bodes
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引用次数: 0

摘要

导言和目的:多参数植入式心律转复除颤器HeartLogic指数已被证明是预测即将发生的心力衰竭(HF)失代偿的灵敏、及时的指标。我们评估了护理人员实施的标准化随访方案对警报远程管理的影响:方法:19 个西班牙中心的心衰患者启动了该算法。对传输的数据进行远程分析,如果发出警报,则通过电话联系患者。临床行动通过远程或门诊实施。主要终点包括高血压住院或死亡。次要终点为高血压门诊量。我们对采用该方案前后 12 个月的情况进行了比较:我们对 392 名患者(年龄 69 ± 10 岁,76% 为男性,50% 为缺血性心肌病)进行了分析,其中 20% 患有植入式心律转复除颤器,80% 患有心脏再同步治疗除颤器。在采用该方案前的 12 个月内,86 名患者(22%)中有 151 次出现主要终点;在采用该方案后的 12 个月内,45 名患者(11%)中有 69 次出现主要终点(P < .001)。每位患者的平均住院次数在采用前为 0.39 ± 0.89 次,采用后为 0.18 ± 0.57 次(P < .001)。采用前,96 名患者(24%)因心房颤动就诊 185 次,采用后,48 名患者(12%)因心房颤动就诊 64 次(P < .001)。采用前每位患者的平均就诊次数为 0.47 ± 1.11 次,采用后为 0.16 ± 0.51 次(P < .001):结论:基于HeartLogic警报远程管理的标准化随访方案实现了对高血压患者的有效远程管理。采用该方案后,我们发现心房颤动住院和门诊就诊人数显著减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical impact of remote heart failure management using the multiparameter ICD HeartLogic alert.

Introduction and objectives: The multiparametric implantable cardioverter-defibrillator HeartLogic index has proven to be a sensitive and timely predictor of impending heart failure (HF) decompensation. We evaluated the impact of a standardized follow-up protocol implemented by nursing staff and based on remote management of alerts.

Methods: The algorithm was activated in HF patients at 19 Spanish centers. Transmitted data were analyzed remotely, and patients were contacted by telephone if alerts were issued. Clinical actions were implemented remotely or through outpatient visits. The primary endpoint consisted of HF hospitalizations or death. Secondary endpoints were HF outpatient visits. We compared the 12-month periods before and after the adoption of the protocol.

Results: We analyzed 392 patients (aged 69±10 years, 76% male, 50% ischemic cardiomyopathy) with implantable cardioverter-defibrillators (20%) or cardiac resynchronization therapy defibrillators (80%). The primary endpoint occurred 151 times in 86 (22%) patients during the 12 months before the adoption of the protocol, and 69 times in 45 (11%) patients (P<.001) during the 12 months after its adoption. The mean number of hospitalizations per patient was 0.39±0.89 pre- and 0.18±0.57 postadoption (P<.001). There were 185 outpatient visits for HF in 96 (24%) patients before adoption and 64 in 48 (12%) patients after adoption (P<.001). The mean number of visits per patient was 0.47±1.11 pre- and 0.16±0.51 postadoption (P<.001).

Conclusions: A standardized follow-up protocol based on remote management of HeartLogic alerts enabled effective remote management of HF patients. After its adoption, we observed a significant reduction in HF hospitalizations and outpatient visits.

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