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Impact of Trifecta definition on rates and predictors of "successful" robotic partial nephrectomy for localized renal masses: results from the Surface-Intermediate-Base Margin Score International Consortium.
Campi, Riccardo; Grosso, Antonio A; Lane, Brian R; DE Cobelli, Ottavio; Sanguedolce, Francesco; Hatzichristodoulou, Georgios; Antonelli, Alessandro; Noyes, Sabrina; DI Maida, Fabrizio; Mari, Andrea; Rodriguez-Faba, Oscar; Keeley, Frank X; Langenhuijsen, Johan; Musi, Gennaro; Klatte, Tobias; Roscigno, Marco; Akdogan, Bulent; Furlan, Maria; Karakoyunlu, Nihat; Marszalek, Martin; Capitanio, Umberto; Volpe, Alessandro; Brookman-May, Sabine; Gschwend, Jürgen E; Smaldone, Marc C; Uzzo, Robert G; Kutikov, Alexander; Minervini, Andrea.
Afiliação
  • Campi R; Department of Urology, University of Florence, Florence, Italy.
  • Grosso AA; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
  • Lane BR; Department of Urology, University of Florence, Florence, Italy.
  • DE Cobelli O; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
  • Sanguedolce F; Department of Urology, Spectrum Health Medical Group, Grand Rapids, MI, USA.
  • Hatzichristodoulou G; Department of Urology, European Institute of Oncology (IEO), University of Milan, Milan, Italy.
  • Antonelli A; Bristol Urological Institute, Southmead Hospital, Bristol, UK.
  • Noyes S; Unit of Uro-Oncology, Puigvert Foundation, Barcelona, Spain.
  • DI Maida F; Department of Urology, Technical University of Munich, University Hospital Klinikum Rechts Der Isar, Munich, Germany.
  • Mari A; Department of Urology and Pediatric Urology, Julius-Maximilians-University of Würzburg, Würzburg, Germany.
  • Rodriguez-Faba O; Department of Urology, University of Brescia, Brescia, Italy.
  • Keeley FX; Department of Urology, Spectrum Health Medical Group, Grand Rapids, MI, USA.
  • Langenhuijsen J; Department of Urology, University of Florence, Florence, Italy.
  • Musi G; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
  • Klatte T; Department of Urology, University of Florence, Florence, Italy.
  • Roscigno M; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
  • Akdogan B; Unit of Uro-Oncology, Puigvert Foundation, Barcelona, Spain.
  • Furlan M; Bristol Urological Institute, Southmead Hospital, Bristol, UK.
  • Karakoyunlu N; Department of Urology, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.
  • Marszalek M; Department of Urology, European Institute of Oncology (IEO), University of Milan, Milan, Italy.
  • Capitanio U; Department of Urology, Royal Bournemouth Hospital, Bournemouth, UK.
  • Volpe A; Department of Urology, Medical University of Vienna, Vienna, Austria.
  • Brookman-May S; Department of Urology, ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Gschwend JE; Department of Urology, Hacettepe University, School of Medicine, Ankara, Turkey.
  • Smaldone MC; Department of Urology, University of Brescia, Brescia, Italy.
  • Uzzo RG; Department of Urology, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey.
  • Kutikov A; Department of Urology and Andrology, Donauspital, Austria.
  • Minervini A; Department of Urology, Graz Medical University, Graz, Austria.
Minerva Urol Nephrol ; 74(2): 186-193, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35345387
ABSTRACT

BACKGROUND:

Over the years, five different Trifecta score definitions have been proposed to optimize the framing of "success" in partial nephrectomy (PN) field. However, such classifications rely on different metrics. The aim of the present study was to explore how the success rate of robotic PN, as well as its drivers, vary according to the currently available definitions of Trifecta.

METHODS:

Data from consecutive patients with cT1-2N0M0 renal masses treated with robotic PN at 16 referral centers from September 2014 to March 2015 were prospectively collected. Trifecta rate was defined for each of the currently available definitions. Multivariable logistic regression analysis was used to evaluate possible predictors of "Trifecta failure" according to the different adopted formulation.

RESULTS:

Overall, 289 patients met the inclusion criteria. Among the definitions, Trifecta rates ranged between 66.4% and 85.9%. Multivariable analysis showed that predictors for "Trifecta failure" were mainly tumor-related (i.e. tumor's nephrometry) for those Trifecta scores relying on WIT as a surrogate metric for postoperative renal function deterioration (definitions 1,2), while mainly surgery-related (i.e. ischemia time and excision strategy) for those including the percentage change in postoperative eGFR as the functional cornerstone of Trifecta (definitions 3-5).

CONCLUSIONS:

There was large variability in rates and predictors of "unsuccessful PN" when using different Trifecta scores. Further research is needed to improve the value of the Trifecta metrics, integrating them into routine patient counseling and standardized assessment of surgical quality across institutions.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Procedimentos Cirúrgicos Robóticos / Neoplasias Renais Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Procedimentos Cirúrgicos Robóticos / Neoplasias Renais Idioma: En Ano de publicação: 2022 Tipo de documento: Article