Robotic vs Laparoscopic Nephroureterectomy for Upper Tract Urothelial Carcinoma: A Multicenter Propensity-Score Matched Pair "tetrafecta" Analysis (ROBUUST Collaborative Group).

Purpose: To compare the outcomes of robotic radical nephroureterectomy (RRNU) and laparoscopic radical nephroureterectomy (LRNU) within a large multi-institutional worldwide dataset. Materials and Methods: The ROBotic surgery for Upper tract Urothelial cancer STudy (ROBUUST) includes data from 17 centers worldwide regarding 877 RRNU and LRNU performed between 2015 and 2019. Baseline features, perioperative and oncologic outcomes, were included. A 2:1 nearest-neighbor propensity-score matching with a 0.001 caliper was performed. A univariable and a multivariable logistic regression model were built to evaluate the predictors of a composite "tetrafecta" outcome defined as occurrence of bladder cuff excision+LND+no complications+negative surgical margins. Results: After matching, 185 RRNU and 91 LRNU were assessed. Patients in the RRNU group were more likely to undergo bladder cuff excision (81.9% vs 63.7%; p < 0.001) compared to the LRNU group. A statistically significant difference was found in terms of overall postoperative complications (p = 0.003) and length of stay (p < 0.001) in favor of RRNU. Multivariable analysis demonstrated that LRNU was an independent predictor negatively associated with achievement of "tetrafecta" (odds ratio: 0.09; p = 0.003). Conclusions: In general, RRNU and LRNU offer comparable outcomes. While the rate of overall complications is higher for LRNU in this study population, this is mostly related to low-grade complications, and therefore with more limited clinical relevance. RRNU seems to offer shorter hospital stay, but this might also be related to the different geographical location of participating centers. Overall, the implementation of robotics might facilitate achievement of a "tetrafecta" outcome as defined in the present study.

A Preoperative Nomogram to Predict Renal Function Insufficiency for Cisplatin-based Adjuvant Chemotherapy Following Minimally Invasive Radical Nephroureterectomy (ROBUUST Collaborative Group).

BACKGROUND: Postoperative renal function impairment represents a main limitation for delivering adjuvant chemotherapy after radical nephroureterectomy (RNU). OBJECTIVE: To create a model predicting renal function decline after minimally invasive RNU. DESIGN, SETTING, AND PARTICIPANTS: A total of 490 patients with nonmetastatic UTUC who underwent minimally invasive RNU were identified from a collaborative database including 17 institutions worldwide (February 2006 to March 2020). Renal function insufficiency for cisplatin-based regimen was defined as estimated glomerular filtration rate (eGFR) <50 ml/min/1.73 m2 at 3 mo after RNU. Patients with baseline eGFR >50 ml/min/1.73 m2 (n = 361) were geographically divided into a training set (n = 226) and an independent external validation set (n = 135) for further analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Using transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) guidelines, a nomogram to predict postoperative eGFR <50 ml/min/1.73 m2 was built based on the coefficients of the least absolute shrinkage and selection operation (LASSO) logistic regression. The discrimination, calibration, and clinical use of the nomogram were investigated. RESULTS AND LIMITATIONS: The model that incorporated age, body mass index, preoperative eGFR, and hydroureteronephrosis was developed with an area under the curve of 0.771, which was confirmed to be 0.773 in the external validation set. The calibration curve demonstrated good agreement. Besides, the model was converted into a risk score with a cutoff value of 0.583, and the difference between the low- and high-risk groups both in overall death risk (hazard ratio [HR]: 4.59, p < 0.001) and cancer-specific death risk (HR: 5.19, p < 0.001) was statistically significant. The limitation mainly lies in its retrospective design. CONCLUSIONS: A nomogram incorporating immediately available clinical variables can accurately predict renal insufficiency for cisplatin-based adjuvant chemotherapy after minimally invasive RNU and may serve as a tool facilitating patient selection. PATIENT SUMMARY: We have developed a model for the prediction of renal function loss after radical nephroureterectomy to facilitate patient selection for perioperative chemotherapy.