You have accessJournal of UrologyCME1 Apr 2023MP58-11 IDENTIFYING THE OPTIMAL WARM ISCHEMIA TIME CUT-OFF DURING ROBOT-ASSISTED PARTIAL NEPHRECTOMY FOR cT1 RENAL MASSES Luigi Nocera, Angelo Mottaran, Carlo Bravi, Adele Piro, Luca Sarchi, Marco Paciotti, Maria Peraire Lores, Eleonora Balestrazzi, Federico Piramide, Ruben De Groote, Melle, Belgium, Geert De Naeyer, and Alexandre Mottrie Luigi NoceraLuigi Nocera More articles by this author , Angelo MottaranAngelo Mottaran More articles by this author , Carlo BraviCarlo Bravi More articles by this author , Adele PiroAdele Piro More articles by this author , Luca SarchiLuca Sarchi More articles by this author , Marco PaciottiMarco Paciotti More articles by this author , Maria Peraire LoresMaria Peraire Lores More articles by this author , Eleonora BalestrazziEleonora Balestrazzi More articles by this author , Federico PiramideFederico Piramide More articles by this author , Ruben De GrooteRuben De Groote More articles by this author , Melle Melle More articles by this author , Belgium Belgium More articles by this author , Geert De NaeyerGeert De Naeyer More articles by this author , and Alexandre MottrieAlexandre Mottrie More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003311.11AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Robot-assisted partial nephrectomy (RAPN) is the gold-standard treatment for T1 renal masses. To reduce bleeding, renal artery clamping is often required, and several cut-offs for the ‘safe’ duration of intraoperative warm ischemia time (WIT) have been proposed. However, due to the lack of systematic and detailed analysis, the optimal cutoff is still subject of significant debate. We aimed to identify the best WIT cut-off to predict acute kidney injury (AKI). METHODS: We relied on 305 patients treated with RAPN between 2009 and 2020. All patients were treated by highly experienced surgeons. Patients undergoing clampless RAPN, as well as patients harbouring multiple masses, were excluded. The primary endpoint was AKI defined as a rise >0.3 mg/dL between pre- and post-operative creatinine or a 1.5-fold higher value of creatinine at discharge as compared to baseline creatinine. Multivariable Cox regression models examined the impact of WIT on AKI after adjustments for age, sex, pre-operative creatinine, solitary kidney, chronic kidney disease, clinical tumor size and PADUA score. The C-index was used to identify the WIT cut-off with highest accuracy. RESULTS: Median age was 63 years (interquartile range [IQR]: 54, 71) and the majority of patients were male (197, 67%). 15 (5%) patients had a solitary kidney, 17 (6%) harbored chronic kidney disease, while median pre-operative creatinine was 0.9 mg/dL (IQR: 0.8, 1.0). Median tumor size was 3.1 cm (IQR: 2.0, 4.3) and median PADUA score was 8 (IQR: 7, 10). Median WIT time was 14 minutes (IQR: 10, 18). Overall, 47 (15%) patients experienced AKI before discharge. On multivariable Cox regression models, all variables with the exception of PADUA score, represented independent predictors of AKI (all p<0.05). The WIT cut-off associated with the highest accuracy in predicting AKI was 19 minutes (C-index: 83.5%). When individuals were stratified according to the 19 minutes cut-off, AKI was present in 12% vs 28% of those with an WIT time below vs. above the threshold (Figure 1). CONCLUSIONS: Consensus for appropriate duration of ischemia during RAPN for T1 renal masses is lacking. Here, we performed detailed and systematic cut-off analyses of WIT and identified an optimal cut-off of 19 minutes. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e799 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Luigi Nocera More articles by this author Angelo Mottaran More articles by this author Carlo Bravi More articles by this author Adele Piro More articles by this author Luca Sarchi More articles by this author Marco Paciotti More articles by this author Maria Peraire Lores More articles by this author Eleonora Balestrazzi More articles by this author Federico Piramide More articles by this author Ruben De Groote More articles by this author Melle More articles by this author Belgium More articles by this author Geert De Naeyer More articles by this author Alexandre Mottrie More articles by this author Expand All Advertisement PDF downloadLoading ...
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