ArticleJournal of the American Heart Association2021
Development and Validation of a Risk Prediction Model for 1-Year Readmission Among Young Adults Hospitalized for Acute Myocardial Infarction.
Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Non-traditional risk factors for myocardial infarction in adults under forty: A systematic review of emerging trends.World journal of cardiology · 2026Article
- Cholesterol-to-Lymphocyte Ratio as a Predictor of 1-Year Unplanned Readmission in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus: A Retrospective Cohort Study.International journal of general medicine · 2026Article
- Risk prediction in people with acute myocardial infarction in England: a cohort study using data from 1521 general practices.BMJ open · 2025Article
- Loneliness and Risk of 30-Day Hospital Readmission After Acute Myocardial Infarction.Medical care · 2025Article
- Article
- Systematic Review and Critical Appraisal of Prediction Models for Readmission in Coronary Artery Disease Patients: Assessing Current Efficacy and Future Directions.Risk management and healthcare policy · 2024Review
- Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction.PloS one · 2024Article
- Impact of Marital Stress on 1-Year Health Outcomes Among Young Adults With Acute Myocardial Infarction.Journal of the American Heart Association · 2023Observational
- Young Women With Acute Myocardial Infarction: Risk Prediction Model for 1-Year Hospital Readmission.CJC open · 2023Article
- Association of Sociodemographic Characteristics With 1-Year Hospital Readmission Among Adults Aged 18 to 55 Years With Acute Myocardial Infarction.JAMA network open · 2023Observational
- The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes.Scientific reports · 2023Article
- ST-Elevation Acute Myocardial Infarction in a Young Man.Journal of medical cases · 2022Article
- Risk factors, clinical features, and outcomes of premature acute myocardial infarction.Frontiers in cardiovascular medicine · 2022Article
- Meta-analysis of the association between marital status and cardiovascular diseases.JRSM cardiovascular diseaseReview
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Authors and funding
9 authors.
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Abstract
Background Readmission over the first year following hospitalization for acute myocardial infarction (AMI) is common among younger adults (≤55 years). Our aim was to develop/validate a risk prediction model that considered a broad range of factors for readmission within 1 year. Methods and Results We used data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young adults aged 18 to 55 years hospitalized with AMI across 103 US hospitals (N=2979). The primary outcome was ≥1 all-cause readmissions within 1 year of hospital discharge. Bayesian model averaging was used to select the risk model. The mean age of participants was 47.1 years, 67.4% were women, and 23.2% were Black. Within 1 year of discharge for AMI, 905 (30.4%) of participants were readmitted and were more likely to be female, Black, and nonmarried. The final risk model consisted of 10 predictors: depressive symptoms (odds ratio [OR], 1.03; 95% CI, 1.01-1.05), better physical health (OR, 0.98; 95% CI, 0.97-0.99), in-hospital complication of heart failure (OR, 1.44; 95% CI, 0.99-2.08), chronic obstructive pulmomary disease (OR, 1.29; 95% CI, 0.96-1.74), diabetes mellitus (OR, 1.23; 95% CI, 1.00-1.52), female sex (OR, 1.31; 95% CI, 1.05-1.65), low income (OR, 1.13; 95% CI, 0.89-1.42), prior AMI (OR, 1.47; 95% CI, 1.15-1.87), in-hospital length of stay (OR, 1.13; 95% CI, 1.04-1.23), and being employed (OR, 0.88; 95% CI, 0.69-1.12). The model had excellent calibration and modest discrimination (C statistic=0.67 in development/validation cohorts). Conclusions Women and those with a prior AMI, increased depressive symptoms, longer inpatient length of stay and diabetes may be more likely to be readmitted. Notably, several predictors of readmission were psychosocial characteristics rather than markers of AMI severity. This finding may inform the development of interventions to reduce readmissions in young patients with AMI.
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