Evidence map›Paper›PMID 41081024›Full record

ArticleThe Malaysian journal of medical sciences : MJMS2025

Time to Readmission and Its Prognostic Factors among Hospitalised Heart Failure Patients.

Yusran Yusoff, Wan Nor Arifin, Sarimah Abdullah

Abstract read
In one paragraph

Article in The Malaysian journal of medical sciences : MJMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Yusran YusoffCRC Kelantan, Institute for Clinical Research, National Institute of Health, Ministry of Health Malaysia, Selangor, Malaysia.
Wan Nor ArifinBiostatistics and Research Methodology Unit, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.
Sarimah AbdullahBiostatistics and Research Methodology Unit, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart failure (HF) is a common comorbidity in the adult population and a common cause of recurrent readmissions. This study aimed to determine the proportion of readmissions, the median time to readmission and its prognostic factors among hospitalised HF patients. Methods: This is a retrospective cohort study that involved patients admitted for HF at a tertiary hospital in Kelantan, Malaysia from October 2021 to December 2022. Adult patients who underwent a formal echocardiogram within one year of the index hospitalisation were included. Patients were excluded if they had inpatient mortality or an active malignancy, if they were transferred to another facility, or if they were discharged against medical advice. They had an additional follow-up period of one year to assess the event of interest (readmission). Patients who did not experience a readmission were censored. Prognostic factors for the time to readmission were identified using multiple Cox regression analysis. Results: A total of 276 patients were included in the analysis, with a mean age of 60.64 years. The proportions of readmissions at six months and one year after discharge were 51.8% and 63.4%, respectively. The median time to readmission for the cohort was 118 days. Prognostic factors for the time to readmission included atrial fibrillation (AF) (adjusted hazard ratio [AHR] = 2.06; 95% confidence interval [CI] : 1.42, 2.99), chronic kidney disease (CKD) (AHR = 1.53; 95% CI: 1.14, 2.04), a low albumin level (AHR = 0.96; 95% CI: 0.94, 0.99), a high aspartate aminotransferase (AST) level (AHR = 1.003; 95% CI: 1.001, 1.006) and ejection fraction (EF) ≤ 40% (AHR = 1.37; 95% CI: 1.03, 1.84). Conclusion: Most patients experienced a readmission within six months of discharge. Several factors were identified as prognostic factors for readmission. Therefore, clinicians must optimise patient care before discharge, paying special attention to these factors.

Indexed as

heart failurehospitalisationpatient readmissionprognosisrisk factors

Identifiers

PMID41081024
PMCPMC12513518

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.