Timing, Patterns and Predictors of 90-Day Readmission Rate after Robotic Radical Cystectomy.

Area of Science:

• Urology
• Surgical Oncology

Background:

• Robotic radical cystectomy is a standard treatment for bladder cancer.
• Understanding 90-day readmission patterns is crucial for improving patient outcomes and reducing healthcare costs.

Purpose of the Study:

• To analyze the timing, patterns, and predictors of 90-day readmissions following robotic radical cystectomy.
• To identify factors associated with both single and multiple readmissions.

Main Methods:

• A prospective database of 271 patients undergoing robotic radical cystectomy for bladder cancer was analyzed.
• Logistic regression was used to identify independent predictors of 90-day readmission.

Main Results:

• A 28.8% readmission rate within 90 days was observed, with 25.6% experiencing multiple readmissions.
• In-hospital infections (OR 2.85) predicted overall readmission, while male gender (OR 3.5) and in-hospital infections (OR 4.35) predicted multiple readmissions.
• Metabolic, infectious, genitourinary, and gastrointestinal complications were the primary causes, with 50% of readmissions occurring within the first two weeks post-discharge.

Conclusions:

• The 90-day readmission rate after robotic radical cystectomy is significant.
• In-hospital infections and male gender are independent predictors of readmission.
• Early detection and management of metabolic derangements and infections are critical for reducing readmissions.