Evidence map›Paper›PMID 40702419›Full record

ArticleBMC cardiovascular disorders2025

A predictive model for heart failure with preserved ejection fraction following acute myocardial infarction: the HFpEF-AMI score.

Xi Wu, Mingxing Wu, Haobo Huang, Zhe Liu, He Huang, Lei Wang

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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.

Xi WuDepartment of Cardiology, Xiangtan Central Hospital (the affiliated hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Mingxing WuDepartment of Cardiology, Xiangtan Central Hospital (the affiliated hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Haobo HuangDepartment of Cardiology, Xiangtan Central Hospital (the affiliated hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Zhe LiuDepartment of Cardiology, Xiangtan Central Hospital (the affiliated hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
He HuangDepartment of Cardiology, Xiangtan Central Hospital (the affiliated hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
Lei WangDepartment of Cardiology, Xiangtan Central Hospital (the affiliated hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China. heartwl@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure with preserved ejection fraction (HFpEF) is a common yet under-recognized complication following acute myocardial infarction (AMI), particularly after primary percutaneous coronary intervention (PCI). Early identification of at-risk patients remains a clinical challenge.

methodsWe retrospectively analyzed 458 first-episode AMI patients who underwent emergency PCI at a single center. Patients were stratified into HFpEF (n = 107) and non-heart failure (non-HF) (n = 351) groups based on the 2021 European Society of Cardiology diagnostic criteria. Clinical variables, laboratory markers, echocardiographic parameters, and coronary angiography findings were compared. Logistic regression identified independent predictors of HFpEF, and a predictive model-the Heart Failure with Preserved Ejection Fraction-Acute Myocardial Infarction Score (HFpEF-AMI Score)-was developed and evaluated.

resultsAmong 458 first-episode AMI patients undergoing emergency PCI, 107 (23.4%) developed HFpEF during hospitalization. Multivariate logistic regression identified four independent predictors of HFpEF after PCI: elevated D-dimer (>184.3 ng/mL; odds ratio [OR] 1.626, 95% confidence interval [CI] 1.466-2.771, p < 0.001), peak N-terminal pro-B-type natriuretic peptide (NT-proBNP) (>2640.11 pg/mL; OR 3.391, 95% CI 2.030-5.273, p < 0.001), increased left ventricular mass index (LVMI) (>105.91 g/m²; OR 2.057, 95% CI 1.152-3.833, p = 0.012), and involvement of the left anterior descending artery (LAD) as the infarct-related artery (IRA) (OR 4.737, 95% CI 2.363-10.545, p < 0.001). Using receiver operating characteristic (ROC) analysis, the HFpEF-AMI Score integrating these four predictors demonstrated excellent discriminatory performance, with an area under the curve (AUC) of 0.882 (95% CI: 0.849-0.910). At an optimal cut-off logit(P) ≥ 0.322, the model achieved a sensitivity of 74.8% and specificity of 86.6%. During 2-year follow-up, HFpEF patients had significantly higher rates of major adverse cardiovascular and cerebrovascular events (MACCE: 19.6% vs. 6.0%) and heart failure-related rehospitalizations (18.7% vs. 4.3%; both p < 0.001).

conclusionThe HFpEF-AMI Score is a novel and clinically applicable tool for early identification of patients at risk of developing HFpEF after AMI. Incorporating routine laboratory and angiographic parameters, this score may assist in risk stratification and long-term prognostic assessment.

Indexed as

Decision Support TechniquesHeart FailureMyocardial InfarctionPercutaneous Coronary InterventionStroke VolumeVentricular Function, LeftAgedAged, 80 and overBiomarkersFemaleFibrin Fibrinogen Degradation ProductsHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Acute myocardial infarctionHeart failure with preserved ejection fractionN-terminal pro–B-type natriuretic peptidePercutaneous coronary interventionRisk prediction model

Identifiers

PMID40702419
PMCPMC12285065

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.