Multicenter external validation of the radical cystectomy pentafecta in a European cohort of patients undergoing robot-assisted radical cystectomy with intracorporeal urinary diversion for bladder cancer

To perform an external validation of this RC-pentafecta. Between January 2014 and December 2019, 104 consecutive patients who underwent RARC with ICUD within 6 urological centers were analyzed retrospectively. Patients who simultaneously demonstrated negative soft tissue surgical margins (STSMs), a lymph node (LN) yield ≥ 16, absence of major (Clavien–Dindo grade III–V) 90-day postoperative complications, absence of UD-related long-term sequelae, and absence of 12-month clinical recurrence were considered to have achieved RC-pentafecta. A multivariable logistic regression model was used to measure predictors for achieving RC-pentafecta. We analyzed the influence of this RC-pentafecta on survival, and the impact ofthe surgical experience. Since 2014, 104 patients who had completed at least 12 months of follow-up were included. Over a mean follow-up of 18 months, a LN yield ≥ 16, negative STSMs, absence of major complications at 90 days, and absence of UD-related surgical sequelae and clinical recurrence at ≤ 12 months were observed in 56%, 96%, 85%, 81%, and 91% of patients, respectively, resulting in a RC-pentafecta rate of 39.4%. Multivariate analysis showed that age was an independent predictor of pentafecta achievement (odds ratio [OR], 0.96; 95% confidence interval [CI], 0.90. 0.99; p = 0.04). The surgeon experience had an impact on the validation of the criteria. This study confirmed that the RC-pentafecta is reproducible and could be externally used for the outcome assessment after RARC with ICUD. Therefore, the RC-pentafecta could be a useful tool to assess surgical success and its impact on different outcomes.

Authors
Baron P.1 , Khene Z.2 , Lannes F.3 , Pignot G.3 , Bajeot A.S.4 , Ploussard G. 5 , Verhoest G.2 , Gasmi A.2 , Perrot O.6 , Roumiguie M.4 , Mori K.7 , Cacciamani G.E.8 , Rouprêt M.6 , Bruyère F.1 , Pradere B. 1, 9
Publisher
Springer-Verlag GmbH
Number of issue
12
Language
English
Pages
4335-4344
Status
Published
Volume
39
Year
2021
Organizations
  • 1 University Hospital of Tours
  • 2 Rennes University Hospital
  • 3 Institut Paoli-Calmettes
  • 4 CHU Rangueil
  • 5 Department of Urology
  • 6 Sorbonne Université, GRC no 5, predictive onco-urology, AP-HP, Hôpital Pitié-Salpêtrière, Urology
  • 7 The Jikei University School of Medicine
  • 8 USC Institute of Urology, University of Southern California
  • 9 Medical University of Vienna
Keywords
robotics; Bladder neoplas; cystectomy; urinary diversion; urothelial carcinoma; validation
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