Evidence map›Paper›PMID 38989039›Full record

ArticleCardiovascular digital health journal2024

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

Luca Santini, Leonardo Calò, Antonio D'Onofrio, Michele Manzo, Antonio Dello Russo, Gianluca Savarese, Domenico Pecora, Claudia Amellone, Vincenzo Ezio Santobuono, Raimondo Calvanese and 10 more

Abstract read
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Article in Cardiovascular digital health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

20 authors.

Luca SantiniGiovan Battista Grassi Hospital, Rome, Italy.
Leonardo CalòPoliclinico Casilino, Rome, Italy.
Antonio D'OnofrioUnità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie, Monaldi Hospital, Naples, Italy.
Michele ManzoOO.RR. San Giovanni di Dio Ruggi d'Aragona, Salerno, Italy.
Antonio Dello RussoUniversità Politecnica delle Marche, Ospedali Riuniti, Ancona, Italy.
Gianluca SavareseS. Giovanni Battista Hospital, Foligno, Italy.
Domenico PecoraFondazione Poliambulanza, Brescia, Italy.
Claudia AmelloneMaria Vittoria Hospital, Turin, Italy.
Vincenzo Ezio SantobuonoUniversity Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, Policlinico di Bari, Bari, Italy.
Raimondo CalvaneseOspedale del Mare, ASL NA1, Naples, Italy.
Miguel ViscusiS. Anna e S. Sebastiano Hospital, Caserta, Italy.
Ennio PisanòVito Fazzi Hospital, Lecce, Italy.
Antonio PangalloGrande Ospedale Metropolitano Bianchi-Melacrino, Reggio Calabria, Italy.
Antonio RapacciuoloDepartment of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy.
Matteo BertiniCardiology Unit, University of Ferrara, S. Anna University Hospital, Ferrara, Italy.
Carlo LavallePoliclinico Umberto I, Rome, Italy.
Amato SantoroAOU Senese, Siena, Italy.
Monica CampariBoston Scientific Italia, Milan, Italy.
Sergio ValsecchiBoston Scientific Italia, Milan, Italy.
Giuseppe BorianiCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

Biventricular pacingCRTHeart failureICDMultisensorRemote monitoring

Identifiers

PMID38989039
PMCPMC11232427

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.