Prediction of pentafecta achievement following laparoscopic partial nephrectomy: Implications for robot-assisted surgery candidates

Abstract

BackgroundIn clinical practice, objective basis for the choice between laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) is scarce. To evaluate surgical outcomes, assess the individual benefit from LPN to RAPN, which can guide clinical decision-making. MethodsPatients underwent LPN or RAPN for a localized renal mass in our center between Jan 2013 and Dec 2016 were included. The surgical outcome of LPN and RAPN was the pentafecta achievement. A multivariable model was fitted to predict the probability of pentafecta achievement after LPN. Model-derived coefficients were applied to calculate the probability of pentafecta achievement in case of LPN among patients treated with RAPN. Locally weighted scatterplot smoothing method was applied to plot the observed probability of pentafecta achievement against the predicted pentafecta probability in case of LPN. ResultsRAPN group had a significantly higher pentafecta achievement (54.6% vs. 41.1%, P < 0.001) than LPN. Multivariable analyses identified that tumor size, distance of the tumor to collecting system or sinus, and preoperative eGFR were independent predictors of pentafecta after LPN. When RAPN was chosen over LPN, the increase in the probability of pentafecta achievement was greatest in intermediate-probability patients. With the increase or decrease of the probability of pentafecta, the benefit of RAPN decreased. ConclusionWhen pentafecta achievement are assessed, the benefit of RAPN over LPN varies from patient to patient. Patients at intermediate-probability of pentafecta achievement after LPN benefit the most from robotic surgery, which may be the potential ideal candidates for RAPN.