Predictors of 30-Day Hospital Readmission Following CABG in a Multicenter Database: A Cross-Sectional Study.

Area of Science:

• Cardiology
• Surgical Outcomes
• Healthcare Quality Improvement

Background:

• Hospital readmission rates are key indicators for assessing and enhancing healthcare service quality and operational management.
• Analyzing readmission patterns post-cardiac procedures is vital for patient care optimization.

Purpose of the Study:

• To determine factors associated with hospital readmission within 30 days following coronary artery bypass grafting (CABG).

Main Methods:

• A cross-sectional cohort study utilized the REPLICCAR II database (N=3,392) from June 2017 to June 2019.
• 150 patients were retrospectively analyzed using univariate and multivariate logistic regression to identify readmission predictors.
• Statistical analysis was performed using R software, with a 0.05 significance level and 95% confidence intervals.

Main Results:

• Out of 3,392 patients, 150 (4.42%) experienced readmission within 30 days post-CABG.
• Infections (mediastinitis, surgical wounds, sepsis) were the primary cause (52 cases, 34.66%), followed by surgical complications and pneumonia.
• Multivariate analysis identified sleep apnea (OR: 1.117, p=0.0165), cardiac arrhythmia (OR: 1.040, p=0.0712), and intra-aortic balloon pump use (OR: 1.068, p=0.0021) as significant predictors.

Conclusions:

• A 4.42% readmission rate was observed post-CABG, with infections being the leading cause.
• Sleep apnea, cardiac arrhythmia, and intra-aortic balloon pump use are significant predictors of readmission.
• The study demonstrated moderate predictive capability for readmission risk (AUC: 0.70).