ArticleFrontiers in cardiovascular medicine2025
Integrated risk factors for premature acute coronary syndrome: residual cholesterol, RDW, and BMI.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Sex-specific associations between pregnancy zone protein and acute coronary syndrome: a case-control study.Biology of sex differences · 2026Article
- Elevated Red Blood Cell Distribution Width Predicts Mortality and Major Adverse Cardiovascular Events After Acute Myocardial Infarction: A Large Propensity Score-Matched Cohort Study.Journal of clinical medicine · 2026Article
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Authors and funding
5 authors.
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Abstract
Introduction: The roles of residual cholesterol (RC), red cell distribution width (RDW), and body mass index (BMI) in premature acute coronary syndrome (ACS) remain underexplored. Aim: This study aimed to investigate the significance of RC, RDW, and BMI in the diagnosis of premature ACS. Methods: A retrospective analysis was conducted on 418 ACS patients at Binzhou Medical University Hospital, categorized into early-onset and late-onset groups. Spearman correlation and multivariate logistic regression were used to evaluate associations. Receiver operating characteristic (ROC) curves assessed the diagnostic performance of RC, RDW, BMI, and their combination. Results: RC and BMI were positively correlated with premature ACS, while RDW was negatively correlated. All three were identified as independent risk factors. A nomogram model highlighted RC as the strongest predictor. The combined model significantly improved diagnostic accuracy, achieving an area under the curve (AUC) of 0.941. Conclusion: RC, RDW, and BMI are independently associated with premature ACS, potentially reflecting inflammatory and metabolic mechanisms. Their combined use enhances diagnostic precision and may support early risk stratification in clinical practice.
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