Evidence map›Paper›PMID 42568431›Full record

ArticleInternational journal of heart failure2026

Design and Rationale of the REmote Monitoring to Identify worsening Heart Failure: The REMOTI-HF Randomized Clinical Trial.

Gonçalo Terleira Batista, Natália António, Maria João Primo, Vanessa Lopes, Luisa Rocha, Fátima Franco, Miguel Costa, Inês Jordão, Patrícia Paiva, Patrícia Dias and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in International journal of heart failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06422832 (Remote Monitoring To Identify Worsening Heart Failure), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

NCT06422832 naunknown statusnot on this map

Remote Monitoring To Identify Worsening Heart Failure: The REMOTI-HF Randomized Clinical Trial

TypeinterventionalSponsorUnidade Local de Saúde de Coimbra, EPERan2024 to 2026Enrolled270ConditionsHeart Failure, ArrythmiaArmsHeartLogic or TriageHF Algorithms for implantable devices
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Gonçalo Terleira BatistaServiço de Cardiologia, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0002-1746-1335
Natália AntónioServiço de Cardiologia, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0003-3103-4353
Maria João PrimoServiço de Cardiologia, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0009-0006-2394-6183
Vanessa LopesServiço de Cardiologia, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0002-7807-6043
Luisa RochaServiço de Cardiologia, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
Fátima FrancoServiço de Cardiologia, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0009-0001-8972-3488
Miguel CostaServiço de Farmacologia Clínica, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
Inês JordãoServiço de Farmacologia Clínica, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0009-0002-4829-9446
Patrícia PaivaFaculdade de Medicina da Universidade de Coimbra, Coimbra, Portugal.
Patrícia DiasServiço de Farmacologia Clínica, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
Francisco ParenteServiço de Farmacologia Clínica, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
Lino GonçalvesServiço de Cardiologia, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0001-9255-3064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute decompensated heart failure (HF) is a leading cause of hospital admissions, often associated with poor outcomes. The Triage-HF (Medtronic®) and HeartLogic (Boston Scientific®) algorithms, when integrated into implantable devices, have demonstrated the ability to predict these events with high accuracy. REMOTI-HF aims to evaluate whether responding to algorithm-generated alerts through structured remote clinical assessment can reduce HF-related events and improve outcomes. The REMOTI-HF Clinical Trial is a single-centre, randomized controlled trial designed to evaluate the effectiveness of clinical evaluation and therapeutic optimization guided by the Triage-HF and HeartLogic algorithms to reduce HF-related events in patients with advanced HF. Approximately 500 patients are expected to be enrolled. Inclusion criteria include having an implantable device compatible with these algorithms and a left ventricular ejection fraction ≤35% at the time of device implantation. Patients will be excluded if they are listed for heart transplant, have ventricular mechanical support, are younger than 18 or older than 85 years, have severe cognitive impairment, are pregnant or have a life expectancy of less than one year. The primary endpoint is a composite of major HF events-including all-cause mortality, hospital admissions for HF, urgent HF hospital visits, ventricular arrhythmias and atrial arrhythmias requiring medical evaluation. The trial is registered at ClinicalTrials.gov (NCT06422832). REMOTI-HF will provide insights into the effectiveness of clinical assessment guided by HeartLogic and Triage-HF algorithm alerts in reducing HF-related events. These findings may pave the way for more sophisticated remote monitoring strategies that build on existing device algorithms. Trial Registration: ClinicalTrials.gov Identifier: NCT06422832.

Indexed as

AlgorithmCardiac resynchronization therapy devicesHeart failureRemote patient monitoring

Identifiers

PMID42568431
PMCPMC13447187

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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.