Scientific publications
Remote heart failure management using the HeartLogic algorithm. RE-HEART Registry
Javier de Juan Bagudá 1 , Juan J Gavira Gómez 2 , Marta Pachón Iglesias 3 , Rocío Cózar León 4 , Vanessa Escolar Pérez 5 , Óscar González Fernández 6 , Nuria Rivas Gándara 7 , Josebe Goirigolzarri Artaza 8 , Beatriz Díaz Molina 9 , Alfonso Macías Gallego 10 , Virgilio Martínez Mateo 11 , Juan G Martínez Martínez 12 , Natalia Marrero Negrín 13 , Gonzalo L Alonso Salinas 14 , Luis González Torres 15 , Juan F Delgado Jiménez 16 , Paula Sánchez-Aguilera 3 , Ernesto Díaz Infante 4 , María F Arcocha Torres 5 , Laura Peña Conde 6 , Ana B Méndez Fernández 7 , Nicasio Pérez Castellano 8 , José M Rubín López 9 , Inés Madrazo Delgado 10 , Manuel J Fernández-Anguita 11 , Pablo Ramos Ruiz 17 , Olga Medina Moreno 13 , David Cordero Pereda 18 , Carlos de Diego Rus 15 , Fernando Arribas Ynsaurriaga 16 , Ignacio García Bolao 2 , Rafael Salguero Bodes 16 , RE-HEART Registry group
Introduction and objectives: HeartLogic is a multiparametric algorithm incorporated into implantable cardioverter-defibrillators (ICD). The associated alerts predict impending heart failure (HF) decompensations. Our objective was to analyze the association between alerts and clinical events and to describe the implementation of a protocol for remote management in a multicenter registry.
Methods: We evaluated study phase 1 (the investigators were blinded to the alert state) and phases 2 and 3 (after HeartLogic activation, managed as per local practice and with a standardized protocol, respectively).
Results: We included 288 patients from 15 centers. In phase 1, the median observation period was 10 months and there were 73 alerts (0.72 alerts/patient-y), with 8 hospitalizations and 2 emergency room admissions for HF (0.10 events/patient-y). There were no HF hospitalizations outside the alert period. In the active phases, the median follow-up was 16 (95%CI, 15-22) months and there were 277 alerts (0.89 alerts/patient-y); 33 were associated with HF hospitalizations or HF death (n=6), 46 with minor decompensations, and 78 with other events. The unexplained alert rate was 0.39 alerts/patient-y. Outside the alert state, there was only 1 HF hospitalization and 1 minor HF decompensation. Most alerts (82% in phase 2 and 81% in phase 3; P=.861) were remotely managed. The median NT-proBNP value was higher within than outside the alert state (7378 vs 1210 pg/mL; P <.001).
Conclusions: The HeartLogic index was frequently associated with HF-related events and other clinically relevant situations, with a low rate of unexplained events. A standardized protocol allowed alerts to be safely and remotely detected and appropriate action to be taken on them.
CITATION Rev Esp Cardiol (Engl Ed). 2022 Sep;75(9):709-716. doi: 10.1016/j.rec.2021.09.015. Epub 2021 Dec 9.
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