Prediction of Postoperative Risks in Laparoscopic Partial Nephrectomy Using RENAL, Mayo Adhesive Probability and Renal Pelvic Score

Aim: To evaluate the Mayo Adhesive Probability (MAP) score, renal pelvis score, and RENAL nephrometry score for the prediction of surgical outcome in patients with renal masses undergoing laparoscopic partial nephrectomy at a single center. Patients and Methods: A total of 280 patients who underwent laparoscopic partial nephrectomy were identified retrospectively. Thirty-eight patients were excluded because of a lack of preoperative imaging. The outcome measures included surgical technique, patient characteristics, MAP score, renal-pelvis-score, RENAL nephrometry score, and complication rates according to the Clavien-Dindo classification. Regression analysis was performed for assessment of the predictive value of the given scores. Results: Complications occurred after 32 (13%) operations. There was a significant positive association between the development of complications and RENAL nephrometry score (p= 0.003). Prediction of complications was improved by the RENAL nephrometry score [area under the curve (AUC) = 0.675] and the MAP score (AUC= 0.655): With an increasing MAP score, there was a significantly increased operative time (p= 0.033). The renal pelvis score had a minor predicitive role (AUC= 0.516) and no correlation was found with postoperative urine leakage. Conclusion: The MAP score and RENAL nephrometry score seem to be able to predict a complex or complicated intra-and postoperative course, while the renal pelvis score is not suitable for predicting postoperative complications, especially urine leakage.