Evidence map›Paper›PMID 39835342›Full record

ArticleESC heart failure2025

Comparative performance of risk prediction indices for mortality or readmission following heart failure hospitalization.

Tauben Averbuch, Ali Zafari, Shofiqul Islam, Shun Fu Lee, Rajiv Sankaranarayanan, Stephen J Greene, Mamas A Mamas, Ambarish Pandey, Harriette Gc Van Spall

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in ESC heart failure, 2025. 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.

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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

9 authors.

Tauben AverbuchDepartment of Cardiology, University of Calgary, Calgary, AB, Canada.ORCID https://orcid.org/0000-0001-9383-9312
Ali ZafariTehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Shofiqul IslamPopulation Health Research Institute, Hamilton, ON, Canada.
Shun Fu LeePopulation Health Research Institute, Hamilton, ON, Canada.
Rajiv SankaranarayananDepartment of Cardiology, Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
Stephen J GreeneDuke Clinical Research Institute, Durham, North Carolina, USA.
Mamas A MamasKeele University, Keele, UK.
Ambarish PandeyDepartment of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Harriette Gc Van SpallPopulation Health Research Institute, Hamilton, ON, Canada.

Funding

CIHR 135917Ontario Ministry of Health and Long-Term Care 6686
6 · The paper itself

Abstract

aimsRisk prediction indices used in worsening heart failure (HF) vary in complexity, performance, and the type of datasets in which they were validated. We compared the performance of seven risk prediction indices in a contemporary cohort of patients hospitalized for HF. METHODS AND

resultsWe assessed the performance of the Length of stay and number of Emergency department visits in the prior 6 months (LE), Length of stay, number of Emergency department visits in the prior 6 months, and admission N-Terminal prohormone of brain natriuretic peptide (NT-proBNP (LENT), Length of stay, Acuity, Charlson co-morbidity index, and number of Emergency department visits in the prior 6 months (LACE), Get With The Guidelines Heart Failure (GWTG), Readmission Risk Score (RRS), Enhanced Feedback for Effective Cardiac Treatment model (EFFECT), and Acute Decompensated Heart Failure National Registry (ADHERE) risk indices among consecutive patients hospitalized for HF and discharged alive from January 2017 to December 2019 in a network of hospitals in England. The primary composite outcome was 30-day all-cause mortality or readmission. We assessed model discrimination and overall accuracy using the C-statistic (higher values, better) and Brier score (lower values, better), respectively. Among 1206 patients in the cohort, 45.0% were female, mean (SD) age was 76.6 (11.7) years, and mean (SD) left ventricular ejection fraction was 43.0% (11.6). At 30 days, 236 (19.6%) patients were readmitted and 28 (2.3%) patients died, with 264 (21.9%) patients experiencing either readmission or death. The LENT index offered the combination of greatest risk discrimination and accuracy for the primary composite outcome (C-statistic: 0.97; 95% CI 0.96, 0.98; 0.29; Brier score: 0.05). The LE (C-statistic: 0.95; 95% CI 0.93, 0.96; Brier score: 0.06) and LACE (C-statistic: 0.90; 95% CI 0.88, 0.92; Brier score 0.09) indices had high discrimination and accuracy. Discrimination and accuracy were modest with the RRS (C-statistic: 0.65; 95% CI 0.61, 0.69; Brier score: 0.16) and EFFECT (C-statistic: 0.64; 95% CI 0.60, 0.67; Brier score: 0.16) score; and poor with the GWTG-HF (C-statistic: 0.62; 95% CI 0.58, 0.66; Brier score: 0.17) and ADHERE (C-statistic: 0.54; 95% CI 0.50, 0.57; Brier score: 0.17) scores.

conclusionsIn a study that compared the performance of seven risk prediction indices in a contemporary cohort of patients hospitalized for HF, the simple LENT index offered the greatest combination of discrimination and accuracy for the primary composite outcome of 30-day all-cause mortality or readmission. This three-variable index -using length of hospital stay, preceding emergency department visits and admission NT-proBNP level- is a practical and reliable way to assess prognosis following hospitalization for HF.

Indexed as

Heart FailureHospitalizationPatient ReadmissionRegistriesAgedAged, 80 and overEnglandFemaleFollow-Up StudiesHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPrognosisRetrospective StudiesNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)30‐day mortality30‐day readmissionAcute heart failureRisk prediction

Identifiers

PMID39835342
PMCPMC11911581

What Socratic holds

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LicenceCC BY-NC-ND
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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.