ArticleBMC cardiovascular disorders2026
A predictive model for new-onset mitral regurgitation in ACS patients.
Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIschemic Mitral Regurgitation (IMR) is a well-established predictor of adverse outcomes following myocardial infarction (MI). Early identification of patients at risk for new-onset mitral regurgitation (MR) after acute coronary syndrome (ACS) could improve long-term risk stratification and guide targeted interventions. We aimed to develop and validate a clinical prediction model for new-onset MR in ACS patients during follow-up.
methodsIn this retrospective cohort study, 1,024 ACS patients were included. Patients without MR at discharge (N = 556) were further analyzed. Clinical, laboratory, electrocardiographic (ECG), angiographic, and echocardiographic data were analyzed. Multivariable Cox regression was used to identify predictors of new-onset MR. A nomogram was developed and validated using the receiver-operating characteristic curve (ROC) and the calibration curve.
resultsAmong 556 ACS patients without MR at discharge, 108 (19.4%) developed new-onset MR during a median follow-up duration of 12 months. Multivariable analysis identified six independent predictors: female sex (HR 2.988, 95% CI 1.774–5.031), higher peak CK-MB max (HR 1.003 per U/L, 95% CI 1.001–1.004), prolonged QRS duration (HR 1.017 per ms, 95% CI 1.006–1.028), right coronary artery involvement (HR 1.572, 95% CI 1.041–2.375), lack of revascularization (HR 4.356, 95% CI 1.456–13.037), and larger left ventricle diameter (HR 1.055 per mm, 95% CI 1.012–1.099) (all P < 0.05). The prediction model showed good discrimination (concordance index (C-index) 0.754, 95%CI 0.705–0.802) and calibration.
conclusionsA novel clinical model incorporating female sex, myocardial injury markers (CK-MB), ECG parameters (QRS duration), right coronary disease, left ventricular remodeling, and revascularization status effectively predicted new-onset MR post-ACS.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.