Evidence map›Paper›PMID 38965689›Full record

ArticleESC heart failure2024

Long-term outcomes of phenoclusters in preclinical heart failure with preserved and mildly reduced ejection fraction.

Luca Fazzini, Arianna Ghirardi, Raul Limonta, Alice Calabrese, Emilia D'Elia, Paolo Canova, Alessandra Fontana, Aurelia Grosu, Attilio Iacovoni, Paola Ferrari and 5 more

Abstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Sex Differences in Heart Failure: A Step Forward.Interventional cardiology (London, England) · 2025
    Review
  4. Article
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

15 authors.

Luca FazziniClinical Cardiology Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.ORCID 0000-0003-2407-7435
Arianna GhirardiFROM Research Foundation, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Raul LimontaSchool of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.
Alice CalabreseDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Emilia D'EliaDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Paolo CanovaDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Alessandra FontanaCardiology Unit, ISMETT-IRCCS, Palermo, Italy.
Aurelia GrosuDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Attilio IacovoniDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Paola FerrariDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Renata De MariaNational Research Council Clinical Physiology Institute, Pisa, Italy.
Antonello GavazziFROM Research Foundation, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Roberta MontisciClinical Cardiology Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Michele SenniDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Mauro GoriDivision of Cardiology, Cardiovascular Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.

Funding

Fondazione Credito Bergamasco (CREBERG)
6 · The paper itself

Abstract

aimsThe identification of subjects at higher risk for incident heart failure (HF) with preserved ejection fraction (EF) suitable for more intensive preventive programmes remains challenging. We applied phenomapping to the DAVID-Berg population, comprising subjects with preclinical HF, aiming to refine HF risk stratification.

methodsThe DAVID-Berg study prospectively enrolled 596 asymptomatic outpatients with EF > 40% with hypertension, diabetes mellitus or known cardiovascular disease. In this cohort, we performed an unsupervised cluster analysis on 591 patients, including clinical, laboratory, electrocardiographic and echocardiographic parameters. We tested the association between each cluster and a composite outcome of HF/death.

resultsThe median age was 70 years, 55.5% were males and the median EF was 61.0%. Phenomapping provided three different clusters. Subjects in Cluster 3 were the oldest and had the highest prevalence of atrial fibrillation, the lowest estimated glomerular filtration rate (eGFR), the highest N-terminal pro-brain natriuretic peptide (NT-proBNP) and the largest left atrium. During a median follow-up of 5.7 years, 13.4% of subjects experienced HF/death events (N = 79). Compared with Clusters 1 and 2, Cluster 3 had the worst prognosis (log-rank test: Cluster 3 vs. 1 P < 0.001; Cluster 3 vs. 2 P = 0.008). Cluster 3 was associated with a risk of HF/death 2.5 times higher than Cluster 1 [adjusted hazard ratio (HR) = 2.46, 95% confidence interval (CI) 1.24-4.90].

conclusionsBased on phenomapping, older patients with lower kidney function and worse diastolic function might represent a subset of preclinical HF with EF > 40% who deserve more efforts to prevent clinical HF.

Indexed as

Heart FailureStroke VolumeAgedEchocardiographyElectrocardiographyFemaleFollow-Up StudiesHumansMalePrognosisProspective StudiesRisk AssessmentRisk FactorsSurvival RateTime FactorsVentricular Function, Leftcongestive heart failureheart failurekidney diseasemetabolic syndromepreclinicalscreening

Identifiers

PMID38965689
PMCPMC11424346

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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.