Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm.

Biventricular pacing CRT Heart failure ICD Multisensor Remote monitoring

Journal

Cardiovascular digital health journal
ISSN: 2666-6936
Titre abrégé: Cardiovasc Digit Health J
Pays: United States
ID NLM: 101771268

Informations de publication

Date de publication:
Jun 2024
Historique:
medline: 11 7 2024
pubmed: 11 7 2024
entrez: 11 7 2024
Statut: epublish

Résumé

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. This study aimed to investigate the relationship between daily BiV% in CRT ICD patients and their HF status, assessed using the HeartLogic algorithm. The HeartLogic algorithm was activated in 306 patients across 26 centers, with a median follow-up of 26 months (25th-75th percentile: 15-37). 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; 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.

Sections du résumé

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

Identifiants

pubmed: 38989039
doi: 10.1016/j.cvdhj.2024.02.005
pii: S2666-6936(24)00012-4
pmc: PMC11232427
doi:

Types de publication

Journal Article

Langues

eng

Pagination

164-172

Informations de copyright

© 2024 Heart Rhythm Society.

Auteurs

Luca Santini (L)

Giovan Battista Grassi Hospital, Rome, Italy.

Leonardo Calò (L)

Policlinico Casilino, Rome, Italy.

Antonio D'Onofrio (A)

Unità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie, Monaldi Hospital, Naples, Italy.

Michele Manzo (M)

OO.RR. San Giovanni di Dio Ruggi d'Aragona, Salerno, Italy.

Antonio Dello Russo (A)

Università Politecnica delle Marche, Ospedali Riuniti, Ancona, Italy.

Gianluca Savarese (G)

S. Giovanni Battista Hospital, Foligno, Italy.

Domenico Pecora (D)

Fondazione Poliambulanza, Brescia, Italy.

Claudia Amellone (C)

Maria Vittoria Hospital, Turin, Italy.

Vincenzo Ezio Santobuono (VE)

University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, Policlinico di Bari, Bari, Italy.

Raimondo Calvanese (R)

Ospedale del Mare, ASL NA1, Naples, Italy.

Miguel Viscusi (M)

S. Anna e S. Sebastiano Hospital, Caserta, Italy.

Ennio Pisanò (E)

Vito Fazzi Hospital, Lecce, Italy.

Antonio Pangallo (A)

Grande Ospedale Metropolitano Bianchi-Melacrino, Reggio Calabria, Italy.

Antonio Rapacciuolo (A)

Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy.

Matteo Bertini (M)

Cardiology Unit, University of Ferrara, S. Anna University Hospital, Ferrara, Italy.

Carlo Lavalle (C)

Policlinico Umberto I, Rome, Italy.

Amato Santoro (A)

AOU Senese, Siena, Italy.

Monica Campari (M)

Boston Scientific Italia, Milan, Italy.

Sergio Valsecchi (S)

Boston Scientific Italia, Milan, Italy.

Giuseppe Boriani (G)

Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy.

Classifications MeSH