Los puntos clave no están disponibles para este artículo en este momento.
You have accessJournal of UrologyKidney Cancer: Localized: Surgical Therapy III (MP44)1 May 2024MP44-01 A BETTER ASSESSMENT OF THE COMPLEXITY OF PARTIAL NEPHRECTOMIES: COMBINING PATIENT'S AND TUMOR'S CHARACTERISTICS IN A SINGLE SCORE Pierre-Luc Dequirez, Dora Jericevic Schwartz, Michael Smigelski, Jaime Omar Herrera-Caceres, James Wysock, Samir Taneja, Shavy Nagpal, and William C. Huang Pierre-Luc DequirezPierre-Luc Dequirez , Dora Jericevic SchwartzDora Jericevic Schwartz , Michael SmigelskiMichael Smigelski , Jaime Omar Herrera-CaceresJaime Omar Herrera-Caceres , James WysockJames Wysock , Samir TanejaSamir Taneja , Shavy NagpalShavy Nagpal , and William C. HuangWilliam C. Huang View All Author Informationhttps://doi.org/10.1097/01.JU.0001009508.69111.d0.01AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Morphometry scores, such as the R.E.N.A.L. nephrometry score, have been used to predict the surgical complexity of partial nephrectomy (PN) for renal tumors. However, these scoring systems only incorporate tumor factors and fail to capture patient-specific factors, such as body habitus and prior surgical history. We assessed if combining patient- and tumor-specific factors aids in predicting perioperative outcomes. METHODS: We identified 138 patients participating in an IRB approved perinephric fat study for a robotic-assisted PN between 08/2018 and 03/2020. Demographic data, R.E.N.A.L. and Mayo Adhesive Probability (MAP) scores, peri-operative and oncological outcomes were collected. The 1° outcome was to predict trifecta: warm ischemia time25 min, 1 positive margins, 9 had complications). Continuous R.E.N.A.L. (OR 1.13 (1.09–1.18), p<0.001) and MAP (OR 1.06 (1.02–1.11), p=0.008) scores, and male gender (OR 1.21 (1.02–1.45), p=0.034) were associated with failure to achieve trifecta in univariate analyses. Only R.E.N.A.L. and MAP score remained significant in the multinomial logistic regression. The sum of the R.E.N.A.L. and MAP scores showed an association with trifecta outcomes stronger than either score alone (OR 1.72 (1.41–2.15), p<0.001). CONCLUSIONS: Both tumor and patient's specific factors were independently predictive of perioperative outcomes. Combining R.E.N.A.L. and MAP scores, however, showed a stronger association with outcomes than either score alone. We believe that this combination score is a simple and effective way in assisting treatment selection for patients with renal tumors. Source of Funding: The research was funded by a New York Academy of Medicine research grant in Urology © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e730 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Pierre-Luc Dequirez More articles by this author Dora Jericevic Schwartz More articles by this author Michael Smigelski More articles by this author Jaime Omar Herrera-Caceres More articles by this author James Wysock More articles by this author Samir Taneja More articles by this author Shavy Nagpal More articles by this author William C. Huang More articles by this author Expand All Advertisement PDF downloadLoading ...
Dequirez et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: