Could Prognostic Nutritional Index be a new criteria for active surveillance of prostate cancer?

Objective: To evaluate the importance of the Prognostic Nutritional Index(PNI) value for patient selection of active surveillance (AS) in prostate cancer. Methods: Between September 2020 and June 2022, the data of 125-patients who underwent Robot-Assisted-Laparoscopic-Prostatectomy were retrospectively analyzed. All patients were suitable for AS preoperatively. Using the pathological results of Robot-Assisted-LaparoscopicProstatectomy, patients have been divided 2 groups. Patients who met the criteria for AS were defined as the first group, others were defined second. Demographic datas, PNI values and hematological parameters of the groups were compared. Results: 38%(n:48) patients were found suitable for the group 1, and 62%(n:77) were found suitable for the group 2. Upgrading and upstaging were found at 76 patients (61%) and 26 (21%), respectively. There is no significant difference between groups on age, BMI, PSA, PSAdensity, prostate volume, and PIRADS. PNI value was found higher at first group. The value of 49.45 was calculated by ROC analysis as the ideal PNI cut-off value for predicting upgrading and upstaging of prostate cancer(P < .001).According to the both univariate and multivariate regression analysis, PNI was found a predictor for exclusion from AS (P < .001). Conclusion: Upgrading and upstaging are detected at a higher rate in patients with low PNI values. The use of PNI value in the selection of patients to AS will increase the success rate of ideal patient selection. (c) 2023 AEU. Published by Elsevier Espana, S.L.U. All rights reserved.