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
{"title":"Clinical impact of remote heart failure management using the multiparameter ICD HeartLogic alert.","authors":"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","doi":"10.1016/j.rec.2024.04.006","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction and objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":38430,"journal":{"name":"Revista española de cardiología (English ed.)","volume":null,"pages":null},"PeriodicalIF":7.2000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista española de cardiología (English ed.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.rec.2024.04.006","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
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.