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Objectives: Martini et al. developed a nomogram to predict significant (>25%) renal function loss after robot‐assisted partial nephrectomy and identified four risk categories. We aimed to externally validate Martini's nomogram on a large, national, multi‐institutional data set including open, laparoscopic, and robot‐assisted partial nephrectomy. Methods: Data of 2584 patients treated with partial nephrectomy for renal masses at 26 urological Italian centers (RECORD2 project) were collected. Renal function was assessed at baseline, on third postoperative day, and then at 6, 12, 24, and 48 months postoperatively. Multivariable models accounting for variables included in the Martini's nomogram were applied to each approach predicting renal function loss at all the specific timeframes. Results: Multivariable models showed high area under the curve for robot‐assisted partial nephrectomy at 6‐ and 12‐month (87.3% and 83.6%) and for laparoscopic partial nephrectomy (83.2% and 75.4%), whereas area under the curves were lower in open partial nephrectomy (78.4% and 75.2%). The predictive ability of the model decreased in all the surgical approaches at 48 months from surgery. Each Martini risk group showed an increasing percentage of patients developing a significant renal function reduction in the open, laparoscopic and robot‐assisted partial nephrectomy group, as well as an increased probability to develop a significant estimated glomerular filtration rate reduction in the considered time cutoffs, although the predictive ability of the classes was <70% at 48 months of follow‐up. Conclusions: Martini's nomogram is a valid tool for predicting the decline in renal function at 6 and 12 months after robot‐assisted partial nephrectomy and laparoscopic partial nephrectomy, whereas it showed a lower performance at longer follow‐up and in patients treated with open approach at all these time cutoffs. [ABSTRACT FROM AUTHOR]

Objective: To identify meaningful predictors and to develop a nomogram of postoperative surgical complications in patients treated with partial nephrectomy (PN). Patients and Methods: We prospectively evaluated 4308 consecutive patients who had surgical treatment for renal tumours, between 2013 and 2016, at 26 Italian urological centres (RECORd 2 project). A multivariable logistic regression for surgical complications was performed. A nomogram was created from the multivariable model. Internal validation processes were performed using bootstrapping with 1000 repetitions. Results: Overall, 2584 patients who underwent PN were evaluated for the final analyses. The median (interquartile [IQR]) American Society of Anesthesiologists (ASA) score was 2 (2–3). In all, 72.4% of patients had clinical T1a (cT1a) stage tumours. The median (IQR) Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) score was 7 (6–8). Overall, 34.3%, 27.7%, 38% of patients underwent open PN (OPN), laparoscopic PN (LPN), and robot‐assisted PN (RAPN). Overall and major postoperative surgical complications were recorded in 10.2% and 2.5% of patients, respectively. At multivariable analysis, age, ASA score, cT2 vs cT1a stage, PADUA score, preoperative anaemia, OPN and LPN vs RAPN, were significant predictive factors of postoperative surgical complications. We used these variables to construct a nomogram for predicting the risk of postoperative surgical complications. At decision curve analysis, the nomogram led to superior outcomes for any decision associated with a threshold probability of >5%. Conclusion: Several clinical predictors have been associated with postoperative surgical complications after PN. We used this information to develop and internally validate a nomogram to predict such risk. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the ability of original tumour contact surface area (CSA) to predict postoperative complications and renal function impairment in a series of patients who underwent elective partial nephrectomy (PN) for renal masses. Materials and Methods: We analysed the clinical records of 531 consecutive patients who underwent elective PN because of a suspicion of kidney cancer at five academic, high‐volume centres between January 2014 and December 2016. Each participating centre evaluated prospectively the radiological images to evaluate the CSA and to assign a PADUA score. Several expert surgeons performed the surgical procedures in each participating centre. Binary logistic regression was used to perform both univariable and multivariable analyses to identify predictors of postoperative complications. Linear regression analysis was used to identify independent predictors of absolute change in estimated glomerular filtration rate (eGFR; ACE). Results: The median (interquartile range) CSA value was 14.2 (7.4–25.1) cm2. A total of 349 tumours (65.7%) had a CSA ≤ 20 cm2 and the remaining 182 (34.3%) had a CSA > 20 cm2. PNs were performed using an open approach in 237 (44.6%) cases, a pure laparoscopic approach in 152 cases (28.6%), and a robot‐assisted approach in the remaining 142 cases (26.7%). Multivariable analyses found that only age (odds ratio [OR] 1.037, 95% confidence interval [CI] 1.018–1.057) and PADUA score (OR 1.289, 95%CI 1.132–1.469) were independent predictors of postoperative complications. Tumour CSA (OR 1.020, 95%CI 1.010–1.030) was found to be an independent predictor of postoperative complications only when PADUA score was removed from the model. Age (from −0.639 to −0.306; P < 0.001); body mass index (from 0.267 to 1.076; P = 0.001), age‐adjusted Charlson score (from −3.193 to −0.259; P = 0.02), preoperative eGFR value (from −0.939 to −0.862; P < 0.001) and tumour CSA (from −0.260 to −0.048; P = 0.005) were found to be independent predictors of ACE. Conclusions: Tumour CSA is an independent predictor of postoperative renal function. Conversely, at multivariable analysis, PADUA score outperformed tumour CSA to predict postoperative complications after PN. The complexity of The Leslie et al. formula for calculating tumour CSA is a potential limitation with regard to its diffusion and application in clinical practice. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the ability of original tumour contact surface area (CSA) to predict postoperative complications and renal function impairment in a series of patients who underwent elective partial nephrectomy (PN) for renal masses. Materials and Methods: We analysed the clinical records of 531 consecutive patients who underwent elective PN because of a suspicion of kidney cancer at five academic, high‐volume centres between January 2014 and December 2016. Each participating centre evaluated prospectively the radiological images to evaluate the CSA and to assign a PADUA score. Several expert surgeons performed the surgical procedures in each participating centre. Binary logistic regression was used to perform both univariable and multivariable analyses to identify predictors of postoperative complications. Linear regression analysis was used to identify independent predictors of absolute change in estimated glomerular filtration rate (eGFR; ACE). Results: The median (interquartile range) CSA value was 14.2 (7.4–25.1) cm2. A total of 349 tumours (65.7%) had a CSA ≤ 20 cm2 and the remaining 182 (34.3%) had a CSA > 20 cm2. PNs were performed using an open approach in 237 (44.6%) cases, a pure laparoscopic approach in 152 cases (28.6%), and a robot‐assisted approach in the remaining 142 cases (26.7%). Multivariable analyses found that only age (odds ratio [OR] 1.037, 95% confidence interval [CI] 1.018–1.057) and PADUA score (OR 1.289, 95%CI 1.132–1.469) were independent predictors of postoperative complications. Tumour CSA (OR 1.020, 95%CI 1.010–1.030) was found to be an independent predictor of postoperative complications only when PADUA score was removed from the model. Age (from −0.639 to −0.306; P < 0.001); body mass index (from 0.267 to 1.076; P = 0.001), age‐adjusted Charlson score (from −3.193 to −0.259; P = 0.02), preoperative eGFR value (from −0.939 to −0.862; P < 0.001) and tumour CSA (from −0.260 to −0.048; P = 0.005) were found to be independent predictors of ACE. Conclusions: Tumour CSA is an independent predictor of postoperative renal function. Conversely, at multivariable analysis, PADUA score outperformed tumour CSA to predict postoperative complications after PN. The complexity of The Leslie et al. formula for calculating tumour CSA is a potential limitation with regard to its diffusion and application in clinical practice. [ABSTRACT FROM AUTHOR]