ArticleBMC cardiovascular disorders2025
Factors influencing unplanned readmission within 30 days in patients with heart failure and their predictive value: a prospective study.
Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Incidence and influencing factors of 30-day unplanned readmission in chronic heart failure patients: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2025Pooled it
- Correction: Factors influencing unplanned readmission within 30 days in patients with heart failure and their predictive value: a prospective study.BMC cardiovascular disorders · 2026Article
- Factors Influencing Malnutrition in Patients with Heart Failure: A Scoping Review Based on the Biopsychosocial Model.Risk management and healthcare policy · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart failure imposes a significant healthcare burden, with early unplanned readmissions post-discharge linked to poor outcomes. Identifying risk factors and their predictive value is crucial for targeted interventions.
objectiveTo investigate gender differences in cumulative hazard function and the factors influencing 30-day unplanned readmissions in heart failure patients, and to compare their predictive value.
methodsA prospective study of heart failure patients hospitalized in Beijing Hospital from October 2023 to March 2024. Patients' nutritional status was assessed using the Mini-Nutritional Assessment Scale Short Version (MNA-SF), frailty was evaluated using the Groningen Frailty Index (GFI), and the Appendicular Skeletal Muscle Mass Index (ASMI) was calculated. Multifactorial Cox regression analysis was conducted, and ROC curves were plotted for predictive modeling.
resultsA total of 121 heart failure patients (60.3% males), aged (69.87 ± 11.9) years were included. With a median follow-up duration of 30 days, 25 (20.7%) patients with readmission. COX regression analysis stratified by gender showed that age, regular smoking, nutritional status, left ventricular ejection fraction(LVEF), brain natriuretic peptide(BNP), GFI, and ASMI were independent predictors of readmission within 30 days in patients with heart failure (P < 0.050). ROC curve analysis showed that age, BNP, ASMI, smoking status, LVEF, nutritional status, and GFI individually as well as in combination predicted readmission within 30 days in patients with heart failure; the joint model performed optimally, with an AUC value reaching 0.877 (95%CI 0.801 ∼ 0.952, P < 0.001), with a sensitivity of 0.920 and a specificity of 0.729.
conclusionA multifactorial approach including age, BNP, ASMI, smoking status, LVEF, nutritional status, and GFI predicts 30-day readmission risk, offering a basis for clinical intervention strategies to improve patient outcomes.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.