Complications after discharge predict readmission after colorectal surgery

Area of Science:

• Colorectal Surgery
• Health Services Research
• Patient Outcomes

Background:

• Healthcare providers and pay-for-performance programs aim to identify high-risk patients for readmission after colorectal surgery.
• This study sought to identify characteristics associated with readmission following elective colorectal surgery.

Purpose of the Study:

• To determine patient characteristics most associated with readmission after elective colorectal surgery.
• To develop a predictive model for colorectal surgery readmissions.

Main Methods:

• Observational study using Michigan Surgical Quality Collaborative registry data (n=8962).
• Mixed-effects models were used to analyze readmission risk factors.
• Model discrimination was assessed using Area Under the Curve (AUC) on a hold-out dataset.

Main Results:

• The overall 30-day readmission rate was 10.5%.
• Model discrimination improved with the inclusion of post-discharge complications, reaching an AUC of 0.81 in the final model.
• Complications identified after discharge were the strongest predictors of readmission, significantly increasing its likelihood.

Conclusions:

• Statistical models incorporating post-discharge complications effectively predict readmission after colorectal surgery.
• Strategies to reduce readmissions should prioritize complication prevention and improved management of identified complications.