Evidence map›Paper›PMID 34190592›Full record

ArticleCirculation. Heart failure2021

Multiparametric Implantable Cardioverter-Defibrillator Algorithm for Heart Failure Risk Stratification and Management: An Analysis in Clinical Practice.

Leonardo Calò, Valter Bianchi, Donatella Ferraioli, Luca Santini, Antonio Dello Russo, Cosimo Carriere, Vincenzo Ezio Santobuono, Chiara Andreoli, Carmelo La Greca, Giuseppe Arena and 11 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Circulation. Heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02275637 (Arrhythmias Detection in a Real World Population), which is not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.6field-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.

NCT02275637 recruitingnot on this map

Arrhythmias Detection in a Real World Population: the RHYTHM DETECT Registry

TypeobservationalSponsorFondazione IRCCS Policlinico San Matteo di PaviaRan2014 to 2028Enrolled10,000ConditionsAppropriate and Inappropriate Shock Therapy With ICD, Arrhythmias DetectionArmsimplantable cardioverter defibrillator
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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  17. The Potential of the HeartLogicJournal of cardiovascular development and disease · 2024
    Article
  18. Observational
  19. 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
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 18 institutions in 2 countries.

Leonardo CalòCardiology Department, Policlinico Casilino, Rome, Italy (L.C., E.D.R.).ORCID 0000-0002-4752-8617
Valter BianchiUnità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie," Monaldi Hospital, Naples, Italy (V.B., A.D.).ORCID 0000-0003-2678-7836
Donatella FerraioliCardiology Department, OO.RR. San Giovanni di Dio Ruggi d'Aragona, Salerno, Italy (D.F.).
Luca SantiniCardiology Department, "Giovan Battista Grassi" Hospital, Rome, Italy (L.S.).
Antonio Dello RussoClinica di Cardiologia e Aritmologia, Università Politecnica delle Marche, "Ospedali Riuniti," Ancona, Italy (A.D.R.).
Cosimo CarriereCardiology Department, Azienda Ospedaliera Universitaria Ospedali Riuniti di Trieste - Cattinara, Trieste, Italy (C.C.).
Vincenzo Ezio SantobuonoCardiology Department, University of Bari, Policlinico di Bari, Italy (V.E.S.).ORCID 0000-0002-8746-729X
Chiara AndreoliCardiology Department, S. Giovanni Battista Hospital, Foligno, Italy (C.A.).ORCID 0000-0003-2500-385X
Carmelo La GrecaCardiology Department, Fondazione Poliambulanza, Brescia, Italy (C.L.G.).
Giuseppe ArenaCardiology Department, Ospedale Civile Apuane, Massa, Italy (G.A.).ORCID 0000-0002-0266-6493
Antonello TalaricoCardiology Department, SS. Annunziata Hospital, Cosenza, Italy (A.T.).
Ennio PisanòCardiology Department, Vito Fazzi Hospital, Lecce, Italy (E.P.).ORCID 0000-0002-0187-0492
Amato SantoroCardiology Department, Azienda Ospedaliera Universitaria Senese, Policlinico Santa Maria alle Scotte, Siena, Italy (A.S.).ORCID 0000-0002-2629-4372
Massimo GiammariaDivision of Cardiology, Maria Vittoria Hospital, Turin, Italy (M.G.).ORCID 0000-0001-5070-7715
Matteo ZiacchiInstitute of Cardiology, University of Bologna, S.Orsola-Malpighi University Hospital, Italy (M.Z.).
Miguel ViscusiCardiology Department, S. Anna e S. Sebastiano Hospital, Caserta, Italy (M.V.).
Ermenegildo De RuvoCardiology Department, Policlinico Casilino, Rome, Italy (L.C., E.D.R.).
Monica CampariRhythm Management Department, Boston Scientific Italia, Milan, Italy (M.C., S.V.).
Sergio ValsecchiRhythm Management Department, Boston Scientific Italia, Milan, Italy (M.C., S.V.).ORCID 0000-0001-7055-6942
Antonio D'OnofrioUnità Operativa di Elettrofisiologia, Studio e Terapia delle Aritmie," Monaldi Hospital, Naples, Italy (V.B., A.D.).
Full list of participant centers and investigators
SAES Group (Italy) · ITOspedale Monaldi · ITRhythm (United states) · USUniversity of Bari Aldo Moro · ITAzienda Ospedaliera Universitaria Senese · ITAzienda Ospedaliero Universitaria San Giovanni Battista · ITPoliclinico Casilino · ITAzienda Universitaria Ospedaliera Consorziale - Policlinico Bari · ITFondazione Poliambulanza Istituto Ospedaliero · ITIRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITMarche Polytechnic University · ITOspedale Annunziata di Cosenza · ITOspedale di Cattinara · ITOspedale Maria Vittoria · ITOspedale San Giuseppe · ITOspedale Sant'Anna · ITOspedale Vito Fazzi · ITOspedali Riuniti San Giovanni di Dio e Ruggi d'Aragona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe HeartLogic algorithm combines multiple implantable cardioverter-defibrillator sensors to identify patients at risk of heart failure (HF) events. We sought to evaluate the risk stratification ability of this algorithm in clinical practice. We also analyzed the alert management strategies adopted in the study group and their association with the occurrence of HF events.

methodsThe HeartLogic feature was activated in 366 implantable cardioverter-defibrillator and cardiac resynchronization therapy implantable cardioverter-defibrillator patients at 22 centers. The median follow-up was 11 months [25th-75th percentile: 6-16]. The HeartLogic algorithm calculates a daily HF index and identifies periods IN alert state on the basis of a configurable threshold.

resultsThe HeartLogic index crossed the threshold value 273 times (0.76 alerts/patient-year) in 150 patients. The time IN alert state was 11% of the total observation period. Patients experienced 36 HF hospitalizations, and 8 patients died of HF during the observation period. Thirty-five events were associated with the IN alert state (0.92 events/patient-year versus 0.03 events/patient-year in the OUT of alert state). The hazard ratio in the IN/OUT of alert state comparison was (hazard ratio, 24.53 [95% CI, 8.55-70.38],

conclusionsThis multiparametric algorithm identifies patients during periods of significantly increased risk of HF events. The rate of HF events seemed lower when clinical actions were undertaken in response to alerts. Extra in-office visits did not seem to be required to effectively manage HeartLogic alerts. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02275637.

Indexed as

AlgorithmsCardiac Resynchronization TherapyDefibrillators, ImplantableAgedAged, 80 and overCardiac Resynchronization Therapy DevicesFemaleHeart FailureHeart RateHospitalizationHumansMaleRisk Factorsalgorithmdefibrillator, implantableheart failurehospitalizationrisk

Identifiers

PMID34190592
PMCPMC8522625
OpenAlexW3174488013

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LicenceCC BY-NC-ND
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Registered trials

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.