Mp58-17 Construction of a Predictive Model for Quality of Life in Patients After Robot-Assisted Radical Prostatectomy

You have accessJournal of UrologyProstate Cancer: Localized: Surgical Therapy III (MP58)1 May 2024MP58-17 CONSTRUCTION OF A PREDICTIVE MODEL FOR QUALITY OF LIFE IN PATIENTS AFTER ROBOT-ASSISTED RADICAL PROSTATECTOMY Jinbao Wang and Qiang Wei Jinbao WangJinbao Wang and Qiang WeiQiang Wei View All Author Informationhttps://doi.org/10.1097/01.JU.0001008852.83523.41.17AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Urinary incontinence and erectile dysfunction are more likely complications after robot-assisted radical prostatectomy (RARP). These can reduce patients' quality of life (QoL). Few studies have been conducted to combine patients' clinical characteristics with MRI parameters for postoperative urinary control and QoL. In this study, we intend to investigate the predictive factors related to various aspects of QoL, including urinary control, in patients after RARP, and construct a predictive model based on patients' clinical characteristics and preoperative MRI parameters. METHODS: Patients with prostate cancer (PCa) who underwent RARP between January 2018 and September 2022 at West China Hospital of Sichuan University were included in this study. Preoperative clinical baseline characteristics and MRI parameters were retrospectively collected, and patients were regularly followed up after surgery to fill out the EPIC-26 to assess urinary control and QoL. Subsequently, predictors of urinary control were screened using preoperative clinical baseline characteristics and MRI parameters, and a prediction model was constructed using logistic regression. For QoL, the predictors of urinary control were screened using preoperative clinical baseline characteristics and MRI parameters, and a prediction model was constructed using linear regression. MRI parameters were screened to identify potential predictor variables for different dimensions of QoL in patients after RARP, and models were constructed accordingly. RESULTS: Based on the nadir criteria, a total of 627 patients with PCa were finally included in this study with a combined total of 1059 questionnaires. 155 patients were entered into the study related to urinary control at 3 months after RARP. The variables used to construct the predictive model were age, Charlson score, membranous urethral length (MUL) and pubic symphysis-prostatic apical length (PAL). The area under the curve (AUC) of the model was 0.729, which provided good predictability and calibration. A total of 187 individuals were screened for the 6-month post-RARP correlation study. Age, Gleason score (GS), Charlson score, MUL, PAL and left anal sphincter thickness were the predictors screened and ultimately used to construct the urinary control recovery at 6 months postoperatively. The AUC of the model was 0.735 with good predictive and calibration ability. The QoL of each dimension in patients after RARP could be constructed with clinical baseline characteristics and MRI parameters with good predictive ability. CONCLUSIONS: The model constructed based on preoperative clinical features and MRI parameters can predict patients' postoperative urinary control and QoL, thus providing clinical guidance. Source of Funding: Unfunded © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e954 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Jinbao Wang More articles by this author Qiang Wei More articles by this author Expand All Advertisement PDF downloadLoading ...