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Reducing preventable hospital readmissions after coronary artery bypass graft (CABG) surgery has become a national priority. Predictive models can be used to identify patients at high risk for readmission. However,… Click to show full abstract
Reducing preventable hospital readmissions after coronary artery bypass graft (CABG) surgery has become a national priority. Predictive models can be used to identify patients at high risk for readmission. However, the majority of the existing models are based on data available at discharge. We sought to develop a model to predict hospital readmission using data available soon after admission for isolated CABG surgery.
Keywords:
risk;
surgery;
readmission;
cabg surgery;
surgery predicting
Journal Title: Journal of Cardiac Surgery
Year Published: 2018
Link to full text (if available)
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Journal Title: Journal of Cardiac Surgery
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!