MP47-19 VALIDATION OF PREDICTIVE MODEL FOR NEW BASELINE RENAL FUNCTION AFTER RADICAL NEPHRECTOMY OR ROBOT-ASSISTED PARTIAL NEPHRECTOMY IN JAPANESE PATIENTS

Abstract

You have accessJournal of UrologyCME1 Apr 2023MP47-19 VALIDATION OF PREDICTIVE MODEL FOR NEW BASELINE RENAL FUNCTION AFTER RADICAL NEPHRECTOMY OR ROBOT-ASSISTED PARTIAL NEPHRECTOMY IN JAPANESE PATIENTS Hidekazu Tachibana, Kenji Omae, Yuki Kobari, Hiroki Ishihara, Hironori Fukuda, Kazuhiko Yoshida, Junpei Iizuka, Tsunenori Kondo, and Toshio Takagi Hidekazu TachibanaHidekazu Tachibana More articles by this author , Kenji OmaeKenji Omae More articles by this author , Yuki KobariYuki Kobari More articles by this author , Hiroki IshiharaHiroki Ishihara More articles by this author , Hironori FukudaHironori Fukuda More articles by this author , Kazuhiko YoshidaKazuhiko Yoshida More articles by this author , Junpei IizukaJunpei Iizuka More articles by this author , Tsunenori KondoTsunenori Kondo More articles by this author , and Toshio TakagiToshio Takagi More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003293.19AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The study's aim was to externally validate a new predictive model for the new baseline glomerular filtration rate (NB-GFR) postnephrectomy among Japanese patients. METHODS: Patients with renal tumors who underwent radical nephrectomy (RN) or robot-assisted laparoscopic partial nephrectomy (PN) at a single Japanese institution during the period 2000-2020 were retrospectively analyzed. The NB-GFR is defined as the final estimated glomerular filtration rate within postoperative 3-12 months. The correlation/bias/accuracy/precision of the equation was examined by comparing the calculated NB-GFR with the observed rate. RESULTS: The study included 485 cases of RN and 1030 cases of robot-assisted laparoscopic PN. The correlation/bias/accuracy/precision of the new equation predicting the NB-GFR was 0.86/-0.92/95.9/-5.65-3.62 in robot-assisted laparoscopic PN and 0.79/-1.02/87.8/-6.26-3.91 in RN, respectively. The fractional polynomial regression line approximated zero and its pointwise 95% confidence interval (CI) was considerably tight for the majority of both cohorts. The 95% CI to discriminate NB-GFRs ≥45 mL/min/1.73 m2 from receiver operating curves was 0.96 (0.95-0.97) and 0.89 (0.87-0.92) in robot-assisted laparoscopic PN and RN, respectively. Various preoperative factors, including age, tumor size, complexity, body mass index, hypertension, and diabetes, did not affect the predictive ability (correlation >0.7) of the subgroup analysis. CONCLUSIONS: The novel simple equation can accurately predict NB-GFRs after radical and robot-assisted laparoscopic partial nephrectomies in Japanese patients. This model will help physicians choose surgical treatments for renal tumors in daily clinical practice. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e652 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Hidekazu Tachibana More articles by this author Kenji Omae More articles by this author Yuki Kobari More articles by this author Hiroki Ishihara More articles by this author Hironori Fukuda More articles by this author Kazuhiko Yoshida More articles by this author Junpei Iizuka More articles by this author Tsunenori Kondo More articles by this author Toshio Takagi More articles by this author Expand All Advertisement PDF downloadLoading ...