Predicting length of stay after robotic partial nephrectomy

Area of Science:

• Urology
• Surgical Oncology
• Nephrology

Background:

• Robotic partial nephrectomy (RPN) is a standard treatment for kidney tumors.
• Optimizing patient selection for outpatient or short-stay procedures can improve efficiency and patient experience.
• Understanding predictors of length of stay (LOS) is crucial for developing such strategies.

Purpose of the Study:

• To identify factors predicting length of stay (LOS) after robotic partial nephrectomy (RPN).
• To assess the feasibility of identifying patients suitable for RPN with overnight stay at outpatient surgical facilities.

Main Methods:

• Retrospective chart review of 186 patients who underwent RPN between January 2007 and July 2012.
• Univariate and multivariate analyses to identify predictors of LOS.
• Area under the curve (AUC) and tenfold cross-validation to assess model discrimination.

Main Results:

• 45% of patients had a LOS of ≤1 day (median LOS 2 days).
• Preoperative predictors of longer LOS included larger tumors, lower glomerular filtration rate, older age, female gender, and higher comorbidity score.
• Operative factors associated with longer LOS were greater blood loss, and longer operative and ischemia times.
• The preoperative model's AUC was 0.61 after cross-validation.

Conclusions:

• LOS after RPN is influenced by patient demographics, comorbidities, and tumor characteristics.
• Retrospective analysis of these factors showed limited accuracy for predicting LOS.
• A robust prediction tool for outpatient RPN suitability could not be developed based on these factors.