PD10-11 ANALYSIS OF THE PREDICTIVE UTILITY OF PROGNOSTIC GRADE GROUPS (PGG) FOR PREDICTING PERIOPERATIVE ONCOLOGIC OUTCOMES OF RADICAL PROSTATECTOMY IN THE SHARED EQUAL ACCESS REGIONAL CANCER HOSPITAL (SEARCH) DATABASE

Abstract

You have accessJournal of UrologyProstate Cancer: Localized: Surgical Therapy I1 Apr 2017PD10-11 ANALYSIS OF THE PREDICTIVE UTILITY OF PROGNOSTIC GRADE GROUPS (PGG) FOR PREDICTING PERIOPERATIVE ONCOLOGIC OUTCOMES OF RADICAL PROSTATECTOMY IN THE SHARED EQUAL ACCESS REGIONAL CANCER HOSPITAL (SEARCH) DATABASE Ariel Schulman, Lauren Howard, Kae Jack Tay, Rajan Gupta, Efrat Tsivian, Christopher Amling, William Aronson, Matthew Cooperberg, Christopher Kane, Martha Terris, Stephen Freedland, and Thomas Polascik Ariel SchulmanAriel Schulman More articles by this author , Lauren HowardLauren Howard More articles by this author , Kae Jack TayKae Jack Tay More articles by this author , Rajan GuptaRajan Gupta More articles by this author , Efrat TsivianEfrat Tsivian More articles by this author , Christopher AmlingChristopher Amling More articles by this author , William AronsonWilliam Aronson More articles by this author , Matthew CooperbergMatthew Cooperberg More articles by this author , Christopher KaneChristopher Kane More articles by this author , Martha TerrisMartha Terris More articles by this author , Stephen FreedlandStephen Freedland More articles by this author , and Thomas PolascikThomas Polascik More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.574AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES In 2015, Prognostic Grade Groups (PGG) 1 through 5 were introduced to reclassify Gleason pathology reporting. We studied the performance of the Prognostic Grade Groups (PGG) in the Shared Equal Access Regional Cancer Hospital (SEARCH) database for predicting perioperative oncologic outcomes within a multiracial equal access healthcare system. METHODS We reviewed records of men who underwent radical prostatectomy at one of six Veterans Affairs hospitals between 1988 and 2015. 4,200 men with available data were included. The predictive utility of biopsy PGG for multiple perioperative clinical endpoints was examined using logistic regression models. Interactions between PGG and race were tested. RESULTS The cohort consisted of PGG 1 through 5, respectively: 1,989(47%), 1,142(27%), 515(12%), 402(10%), 152(4%). 1,569(38%) were African American(AA). Higher biopsy PGG was associated with higher stage, older age, higher preoperative PSA and more positive biopsy cores (p≤0.012). Higher PGG was associated with higher risk of extracapsular extension(ECE), seminal vesicle invasion(SVI), positive surgical margins(PSM) and lymph node involvement(LNI) and lower likelihood of achieving PSA nadir <0.01 after surgery (all p<0.001). Lower PGG was more likely to be upgraded at surgery (p=<0.001). [Table 1 outlines risks associated with each PGG group.] AA men had decreased risk of upgrading (p=0.001). None of the other endpoints varied by race(p>0.1). CONCLUSIONS Prostate Prognostic Grade Groups predicted multiple perioperative oncologic endpoints after prostatectomy in a large, multiracial cohort of men. In this cohort, African American men had lower rates of pathologic upgrading at surgery. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e204 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Ariel Schulman More articles by this author Lauren Howard More articles by this author Kae Jack Tay More articles by this author Rajan Gupta More articles by this author Efrat Tsivian More articles by this author Christopher Amling More articles by this author William Aronson More articles by this author Matthew Cooperberg More articles by this author Christopher Kane More articles by this author Martha Terris More articles by this author Stephen Freedland More articles by this author Thomas Polascik More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...