Evidence map›Paper›PMID 30632306›Full record

ArticleESC heart failure2019

Preliminary experience with the multisensor HeartLogic algorithm for heart failure monitoring: a retrospective case series report.

Alessandro Capucci, Luca Santini, Stefano Favale, Domenico Pecora, Barbara Petracci, Leonardo Calò, Giulio Molon, Laura Cipolletta, Valter Bianchi, Valentina Schirripa and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in ESC heart failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  14. Predicting worsening heart failure hospitalizations in patients with implantable cardioverter defibrillators: is it all about alerts? A pooled analysis of nine trials.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
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  17. Performance of a multi-sensor implantable defibrillator algorithm for heart failure monitoring in the presence of atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Observational
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  19. HeartLogic™: real-world data-efficiency, resource consumption, and workflow optimization.European heart journal supplements : journal of the European Society of Cardiology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 10 institutions in 2 countries.

Alessandro CapucciClinica di Cardiologia e Aritmologia, Università Politecnica delle Marche, "Ospedali Riuniti", Via Conca, 71, 60020, Ancona, Italy.
Luca Santini"Giovan Battista Grassi" Hospital, Rome, Italy.
Stefano FavaleUniversity of Bari, Policlinico di Bari, Bari, Italy.
Domenico PecoraFondazione Poliambulanza, Brescia, Italy.
Barbara PetracciFondazione Policlinico S. Matteo IRCCS, Pavia, Italy.
Leonardo CalòPoliclinico Casilino, Rome, Italy.
Giulio MolonSacro Cuore-Don Calabria Hospital, Verona, Italy.
Laura CipollettaClinica di Cardiologia e Aritmologia, Università Politecnica delle Marche, "Ospedali Riuniti", Via Conca, 71, 60020, Ancona, Italy.
Valter Bianchi"Unità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie", Monaldi Hospital, Naples, Italy.
Valentina Schirripa"Giovan Battista Grassi" Hospital, Rome, Italy.
Vincenzo E SantobuonoUniversity of Bari, Policlinico di Bari, Bari, Italy.
Carmelo La GrecaFondazione Poliambulanza, Brescia, Italy.
Monica CampariBoston Scientific Italia, Milan, Italy.
Sergio ValsecchiBoston Scientific Italia, Milan, Italy.
Fabrizio Ammirati"Giovan Battista Grassi" Hospital, Rome, Italy.
Antonio D'Onofrio"Unità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie", Monaldi Hospital, Naples, Italy.
Azienda Ospedaliero Universitaria San Giovanni Battista · ITBoston Scientific (United States) · USFondazione Poliambulanza Istituto Ospedaliero · ITMarche Polytechnic University · ITOspedale Monaldi · ITAzienda Universitaria Ospedaliera Consorziale - Policlinico Bari · ITOspedale Sacro Cuore Don Calabria · ITPoliclinico Casilino · ITPoliclinico San Matteo Fondazione · ITUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIn the Multisensor Chronic Evaluation in Ambulatory Heart Failure Patients study, a novel algorithm for heart failure (HF) monitoring was implemented. The HeartLogic (Boston Scientific) index combines data from multiple implantable cardioverter defibrillator (ICD)-based sensors and has proved to be a sensitive and timely predictor of impending HF decompensation. The remote monitoring of HF patients by means of HeartLogic has never been described in clinical practice. We report post-implantation data collected from sensors, the combined index, and their association with clinical events during follow-up in a group of patients who received a HeartLogic-enabled device in clinical practice. METHODS AND

resultsPatients with ICD and cardiac resynchronization therapy ICD were remotely monitored. In December 2017, the HeartLogic feature was activated on the remote monitoring platform, and multiple ICD-based sensor data collected since device implantation were made available: HeartLogic index, heart rate, heart sounds, thoracic impedance, respiration, and activity. Their association with clinical events was retrospectively analysed. Data from 58 patients were analysed. During a mean follow-up of 5 ± 3 months, the HeartLogic index crossed the threshold value (set by default to 16) 24 times (over 24 person-years, 0.99 alerts/patient-year) in 16 patients. HeartLogic alerts preceded five HF hospitalizations and five unplanned in-office visits for HF. Symptoms or signs of HF were also reported at the time of five scheduled visits. The median early warning time and the time spent in alert were longer in the case of hospitalizations than in the case of minor events of clinical deterioration of HF. HeartLogic contributing sensors detected changes in heart sound amplitude (increased third sound and decreased first sound) in all cases of alerts. Patients with HeartLogic alerts during the observation period had higher New York Heart Association class (P = 0.025) and lower ejection fraction (P = 0.016) at the time of activation.

conclusionsOur retrospective analysis indicates that the HeartLogic algorithm might be useful to detect gradual worsening of HF and to stratify risk of HF decompensation.

Indexed as

AlgorithmsTransducersAgedCardiac Resynchronization TherapyEquipment DesignFemaleFollow-Up StudiesHeart FailureHeart RateHospitalizationHumansMaleMonitoring, PhysiologicReproducibility of ResultsRetrospective StudiesTime FactorsCRTDecompensationHeart failureICDTelemedicine

Identifiers

PMID30632306
PMCPMC6437441
OpenAlexW2909046689

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.