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Predicting Early Readmission Following PCI: A Work in Progress
Jorge A Belardi1, Mariano Albertal1
1Department of Interventional Cardiology and Endovascular Therapeutics, Instituto Cardiovascular de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Insights
Early hospital readmissions following percutaneous coronary interventions (PCI) are frequent and expensive. A new risk model using 14 variables shows modest ability to predict these readmissions, guiding future intervention research.
Area of Science:
- Cardiovascular Medicine
- Health Services Research
Background:
- Early hospital readmissions after percutaneous coronary interventions (PCI) represent a significant clinical and economic burden.
- Identifying patients at high risk for readmission is crucial for resource allocation and patient management.
Abstract:
Early hospital readmissions after percutaneous coronary interventions (PCI) are common and costly. From the NCDR CathPCI Registry and the Centers for Medicare and Medicaid Services, a risk prediction model was generated using 14 clinical variables, demonstrating modest discrimination. Future research is needed to identify interventions aim to reduce early readmissions. The use of this risk model may help guide these interventions.
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