ArticleThe American journal of cardiology2016
Reliability of Predicting Early Hospital Readmission After Discharge for an Acute Coronary Syndrome Using Claims-Based Data.
Article in The American journal of cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Factors affecting hospital readmission rates following an acute coronary syndrome: A systematic review.Journal of clinical nursing · 2022Pooled it
- Acute Myocardial Infarction Readmission Risk Prediction Models: A Systematic Review of Model Performance.Circulation. Cardiovascular quality and outcomes · 2018Pooled it
- Lace Index: Predict the High-Risk of 30-Days Readmission of Patients With Acute Myocardial Infarction: National Health Insurance Claims Data 2011-2020.Journal of evaluation in clinical practice · 2025Article
- Circulating extracellular RNAs, myocardial remodeling, and elevated BMI in patients with acute coronary syndrome.American journal of cardiovascular disease · 2025Article
- Circulating extra-cellular RNAs and atrial fibrillation: data from the TRACE-CORE cohort.Frontiers in cardiovascular medicine · 2025Article
- 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
- Evaluation of Health Literacy Levels and Associated Factors Among Patients with Acute Coronary Syndrome and Heart Failure in Qatar.Patient preference and adherence · 2023Article
- A structural equation model linking health literacy, self efficacy and quality of life in adults with coronary heart disease.BMC cardiovascular disorders · 2022Article
- Differences in Social Hardships in Women and Men with Acute Myocardial Infarction: Impact on 30-Day Readmission.Women's health reports (New Rochelle, N.Y.) · 2022Article
- Non-specific pain and 30-day readmission in acute coronary syndromes: findings from the TRACE-CORE prospective cohort.BMC cardiovascular disorders · 2021Article
- Patient-Reported Outcomes Predict Future Emergency Department Visits and Hospital Admissions in Patients With Stroke.Journal of the American Heart Association · 2021Article
- Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction.JAMA network open · 2021Article
- Understanding Readmissions in Medicare Beneficiaries During the 90-Day Follow-Up Period of an Acute Myocardial Infarction Admission.Journal of the American Heart Association · 2019Article
- Circulating extracellular RNAs, myocardial remodeling, and heart failure in patients with acute coronary syndrome.Journal of clinical and translational research · 2019Article
- Hospital readmission risk prediction based on claims data available at admission: a pilot study in Switzerland.BMJ open · 2019Article
- Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction.Circulation. Cardiovascular quality and outcomes · 2019Article
- Health Literacy and Cardiovascular Disease: Fundamental Relevance to Primary and Secondary Prevention: A Scientific Statement From the American Heart Association.Circulation · 2018Review
- Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.Yearbook of medical informatics · 2017Review
- Race and place differences in patients hospitalized with an acute coronary syndrome: Is there double jeopardy? Findings from TRACE-CORE.Preventive medicine reports · 2017Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Early rehospitalization after discharge for an acute coronary syndrome, including acute myocardial infarction (AMI), is generally considered undesirable. The Centers for Medicare and Medicaid Services (CMS) base hospital financial incentives on risk-adjusted readmission rates after AMI, using claims data in its adjustment models. Little is known about the contribution to readmission risk of factors not captured by claims. For 804 consecutive patients >65 years discharged in 2011 to 2013 from 6 hospitals in Massachusetts and Georgia after an acute coronary syndrome, we compared a CMS-like readmission prediction model with an enhanced model incorporating additional clinical, psychosocial, and sociodemographic characteristics, after principal components analysis. Mean age was 73 years, 38% were women, 25% college educated, and 32% had a previous AMI; all-cause rehospitalization occurred within 30 days for 13%. In the enhanced model, previous coronary intervention (odds ratio [OR] = 2.05, 95% confidence interval [CI] 1.34 to 3.16; chronic kidney disease OR 1.89, 95% CI 1.15 to 3.10; low health literacy OR 1.75, 95% CI 1.14 to 2.69), lower serum sodium levels, and current nonsmoker status were positively associated with readmission. The discriminative ability of the enhanced versus the claims-based model was higher without evidence of overfitting. For example, for patients in the highest deciles of readmission likelihood, observed readmissions occurred in 24% for the claims-based model and 33% for the enhanced model. In conclusion, readmission may be influenced by measurable factors not in CMS' claims-based models and not controllable by hospitals. Incorporating additional factors into risk-adjusted readmission models may improve their accuracy and validity for use as indicators of hospital quality.
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