Evidence map›Paper›PMID 40710762›Full record

ArticleJournal of cardiovascular development and disease2025

The Early Prediction of Patient Outcomes in Acute Heart Failure: A Retrospective Study.

Maria Boesing, Justas Suchina, Giorgia Lüthi-Corridori, Fabienne Jaun, Michael Brändle, Jörg D Leuppi

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. 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

6 authors.

Maria BoesingUniversity Institute of Internal Medicine, Kantonsspital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0001-8605-1893
Justas SuchinaUniversity Institute of Internal Medicine, Kantonsspital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0001-8290-7391
Giorgia Lüthi-CorridoriUniversity Institute of Internal Medicine, Kantonsspital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0002-9956-3895
Fabienne JaunUniversity Institute of Internal Medicine, Kantonsspital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0002-1229-2181
Michael BrändleDepartment of Internal Medicine, Kantonsspital Sankt Gallen, 9000 Sankt Gallen, Switzerland.ORCID 0000-0002-3228-0313
Jörg D LeuppiUniversity Institute of Internal Medicine, Kantonsspital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0002-5554-0675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute heart failure (AHF) is a major cause of hospitalizations, posing significant challenges to healthcare systems. Despite advancements in management, the rate of poor outcomes remains high globally, emphasizing the need for timely interventions. This study aimed to identify early admission-based factors predictive of poor outcomes in hospitalized AHF patients, in order to contribute to early risk stratification and optimize patient care.

methodsThis retrospective single-center study analyzed routine data of adult patients hospitalized for AHF at a public university teaching hospital in Switzerland. Outcomes included in-hospital death, intensive care (ICU) treatment, and length of hospital stay (LOHS). Potential predictors were limited to routine parameters, readily available at admission. Missing predictor data was imputed and predictors were identified by means of multivariable regression analysis.

resultsData of 638 patients (median age 84 years, range 45-101 years, 50% female) were included in the study. In-hospital mortality was 7.1%, ICU admission rate 3.8%, and median LOHS was 8 days (IQR 5-12). Systolic blood pressure ≤ 100 mmHg (Odds ratio (OR) 3.8,

conclusionsThis study validated established predictors of AHF outcomes in a Swiss cohort, highlighting the predictive value of poor perfusion status, fluid overload, and comorbidities such as chronic kidney disease. The identified predictors imply potential for developing tools to improve rapid treatment decisions. Future research should focus on the prospective external validation of the identified predictors and the design and validation of risk scores, incorporating these parameters to optimize early interventions and reduce adverse outcomes in AHF.

Indexed as

acute heart failureadmission dataintensive carelength of hospital staymortalitypatient outcomepredictorsrisk stratification

Identifiers

PMID40710762
PMCPMC12295718

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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.