Preoperative Briganti Nomogram Score and Risk of Prostate Cancer Progression After Robotic Surgery Beyond EAU Risk Categories.

: We sought to investigate whether the 2012 Briganti nomogram may represent a potential prognostic factor of prostate cancer (PCa) progression after surgical treatment beyond European Association of Urology (EAU) risk categories. : From January 2013 to December 2021, data on PCa patients treated with robot-assisted radical prostatectomy at a single tertiary referral center were extracted. The 2012 version of the Briganti nomogram assessing the risk of pelvic lymph node invasion was used. Here, the nomogram score was evaluated both as a continuous and a categorical variable. The association between variables and disease progression after surgery was evaluated through Cox regression models. : Overall, 1047 patients were identified. According to the EAU classification system, 297 (28.4%) patients were low-risk, 527 (50.3%) intermediate-risk, and 223 (21.3%) high-risk. The median (interquartile range) 2012 Briganti nomogram score within the investigated population was 3% (2-8%). Median (95% Confidence Interval [CI]) follow-up was 95 (91.9-112.4) months. Disease progression occurred in 237 (22.6%) patients, who were more likely to have an increasing 2012 Briganti nomogram score (Hazard Ratio [HR]: 1.03; 95%CI: 1.01-1.81; = 0.015), independently of unfavorable issues at clinical presentation. Moreover, the nomogram score stratified according to tertiles (<3% vs. 3-8% vs. ≥8%) hold significance beyond EAU risk categories: accordingly, the risk of disease progression increased as the score increased from the first (reference) to the second (HR: 1.50; 95%CI: 1.67-3.72; < 0.001) up to the third (HR: 3.26; 95%CI: 2.26-4.72; < 0.001) tertile. : Beyond EAU risk categories, the 2012 Briganti nomogram represented an independent predictor of PCa progression after surgery. Likewise, as the nomogram score increased so patients were more likely to experience disease progression. Accordingly, it may allow further stratification of patients within each risk category to modulate appropriate treatment paradigms.