Risk Calculator to Predict 30-Day Readmission After Coronary Artery Bypass: A Strategic Decision Support Tool

Area of Science:

• Cardiovascular Surgery
• Health Services Research
• Medical Informatics

Background:

• Hospital readmissions are a significant source of patient dissatisfaction and increased healthcare costs.
• Effective patient dismissal planning is crucial for improving patient outcomes and managing hospital resources.
• Predictive tools can aid clinicians in identifying patients at high risk for readmission.

Purpose of the Study:

• To develop and validate a predictive model for 30-day readmission after isolated primary coronary artery bypass (CABG) surgery.
• To identify key pre, intra, and postoperative factors associated with CABG readmissions.
• To create a practical tool for guiding patient dismissal planning and potentially reducing readmission rates.

Main Methods:

• Utilized the National Readmissions Database (NRD) to identify isolated primary CABG admissions.
• Developed a logistic regression model incorporating pre, intra, and postoperative variables.
• Validated the model's reliability using bootstrapping and 10-fold cross-validation.

Main Results:

• Identified 135,699 CABG procedures, with 19,355 (14.2%) readmissions within 30 days.
• Readmitted patients were older, more likely female, and had higher Elixhauser comorbidity scores.
• Key predictors included end-stage renal disease (OR 1.79) and length of stay >9 days (OR 1.60).
• Private insurance and Medicare coverage were associated with lower readmission rates compared to Medicaid.

Conclusions:

• A simple 30-day readmission calculator for CABG patients has been developed.
• This calculator can serve as a strategic tool to aid in reducing readmissions post-coronary artery bypass surgery.
• The model's findings can inform clinical decision-making for discharge planning.