Evidence map›Paper›PMID 37668875›Full record

ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2023

Prognostic Clinical Phenotypes of Patients with Acute Decompensated Heart Failure.

Tanya Mohammadi, Said Tofighi, Babak Mohammadi, Shadi Halimi, Farshad Gharebakhshi

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Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2023. 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
1.5field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 5 institutions in 1 country.

Tanya MohammadiCollege of Science, School of Mathematics, Statistics, and Computer Science, University of Tehran, Tehran, Iran.ORCID http://orcid.org/0000-0003-3141-9245
Said TofighiDepartment of Cardiology, Tehran Heart Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-8075-5750
Babak MohammadiIndependent Researcher, Unit 5, No 41, 24th Eastern Alley, Azadegan Blvd., Northern Kargar St., Tehran, 1437696156, Iran. dr.bbkmmd@gmail.com.ORCID http://orcid.org/0000-0001-8177-0725
Shadi HalimiDepartment of General Medicine, Faculty of Medicine, BooAli Hospital, Islamic Azad University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0003-0222-297X
Farshad GharebakhshiDepartment of Radiology, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-5495-609X
Imam Hossein Hospital · IRIslamic Azad University Medical Branch of Tehran · IRIslamic Azad University, Tehran · IRTehran University of Medical Sciences · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute decompensated heart failure (AHF) is a clinical syndrome with a poor prognosis.

aimThis study was conducted to identify clusters of inpatients with acute decompensated heart failure that shared similarities in their clinical features.

methodsWe analyzed data from a cohort of patients with acute decompensated heart failure hospitalized between February 2013 and January 2017 in a Department of Cardiology. Patients were clustered using factorial analysis of mixed data. The clusters (phenotypes) were then compared using log-rank tests and profiled using a logistic model. In total, 458 patients (255; 55.7% male) with a mean (SD) age of 72.7 (11.1) years were included in the analytic dataset. The demographic, clinical, and laboratory features were included in the cluster analysis.

resultsThe two clusters were significantly different in terms of time to mortality and re-hospitalization (all P < 0.001). Cluster profiling yielded an accurate discriminating model (AUC = 0.934). Typically, high-risk patients were elderly females with a lower estimated glomerular filtration rate and hemoglobin on admission compared to the low-risk phenotype. Moreover, the high-risk phenotype had a higher likelihood of diabetes type 2, transient ischemic attack/cerebrovascular accident, previous heart failure or ischemic heart disease, and a higher serum potassium concentration on admission. Patients with the high-risk phenotype were of higher New York Heart Association functional classes and more positive in their medication history.

conclusionsThere are two phenotypes among patients with decompensated heart failure, high-risk and low-risk for mortality and re-hospitalization. They can be distinguished by easy-to-measure patients' characteristics.

Indexed as

Heart FailureHospitalizationAcute DiseaseAgedFemaleHumansMalePhenotypePrognosisCardiovascularClusteringFailureHeartPhenotypePrognosis

Identifiers

PMID37668875
OpenAlexW4386439186

What OpenQuestion holds

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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.