Evidence map›Paper›PMID 42331565›Full record

Observational studyOpen heart2026

Standardised, telemonitored titration of guideline-directed medical therapy in heart failure is associated with faster optimisation and improved persistence compared to standard of care.

Hevar Hamah Saed, Daniel Winstedt Thomas, Antros Louca, Araz Rawshani, Karin Odefjord, Rami Genead, Charlotta Ljungman, Helen Sjöland, Niklas Bergh, Tomas Mellberg

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Open heart, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

10 authors.

Hevar Hamah Saed *Department of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden.ORCID http://orcid.org/0000-0002-0975-842X
Daniel Winstedt Thomas *Department of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden.ORCID http://orcid.org/0009-0006-6787-6076
Antros LoucaDepartment of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden.
Araz RawshaniDepartment of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden.
Karin OdefjordDepartment of Thoracic Surgery and Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden.ORCID http://orcid.org/0009-0002-2947-8772
Rami GeneadDepartment of Medicine, South Alvsborg Hospital, Borås, Sweden.
Charlotta LjungmanDepartment of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden.
Helen SjölandDepartment of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden.ORCID http://orcid.org/0000-0003-1013-542X
Niklas BerghDepartment of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden.
Tomas MellbergDepartment of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Västra Götaland County, Sweden tomas.mellberg@vgregion.se.ORCID http://orcid.org/0000-0001-9090-6743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid initiation and up-titration of guideline-directed medical therapy (GDMT) are critical for improving outcomes in heart failure with reduced ejection fraction (HFrEF), yet initiation is frequently delayed and target doses are often not achieved in routine clinical care. We assessed whether a predefined standardised home-based titration strategy supported by telemonitoring enhances GDMT optimisation compared with standard of care.

methodsThis study compared the TELEmonitored FAst Standardized Titration for Efficient Response in Heart Failure with reduced ejection fraction (TELEFASTER-HF) cohort (n=60) that underwent standardised, home-based GDMT titration with a contemporaneous standard-of-care cohort (n=65). Groups were balanced using inverse probability of treatment weighting. Outcomes included time to optimal medical therapy (OMT), comparative attainment of GDMT doses at 8 weeks and GDMT persistence up to 12 months after the study index.

resultsThe time to OMT was substantially shorter in TELEFASTER-HF patients compared with the standard-of-care cohort (median 48 vs 321 days, HR 16.1, 95% CI 8.3 to 31.2, p<0.001). Compared with standard-of care, TELEFASTER-HF care was associated with higher GDMT dose categories and achievement of higher rates of GDMT target doses across all drug classes needing titration at all follow-up time points. Exploratory analyses showed no heart failure hospitalisations in the TELEFASTER-HF group during 12 months from index compared with 26 events in the control cohort.

conclusionsA standardised, telemonitored, home-based GDMT titration strategy was associated with faster, more comprehensive and more durable optimisation of GDMT in patients with HFrEF compared with standard of care. This approach may help address persistent GDMT implementation gaps.

Indexed as

Cardiovascular AgentsHeart FailureMedication AdherencePractice Guidelines as TopicRemote Patient MonitoringStandard of CareStroke VolumeAgedFemaleHumansMaleMiddle AgedTelemedicineTime FactorsTreatment OutcomeVentricular Function, LeftCardiovascular AgentsHeart FailureMedication AdherenceOutcome Assessment, Health CareTelemedicine

Identifiers

PMID42331565
PMCPMC13289401

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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.