Actas urologicas espanolas最新文献

Introduction: The prognosis of localized prostate cancer (PCa) following radical treatment is generally favorable, although up to 46% of patients may still experience adverse outcomes. The impact of delayed surgery in intermediate-risk (IR) or high-risk (HR) patients remains under discussion. This study evaluates its association with oncological outcomes.

Materials and methods: Retrospective study of 2296 patients with IR and HR PCa who underwent radical prostatectomy (RP) between 1986 and 2025. Upgrading, upstaging, positive margins, PSA persistence, and lymph node involvement were analyzed. Waiting time was grouped into <3, 3-6, and >6 months.

Results: The median waiting time was 3.5 months. Eighty-five percent of patients were operated on within 6 months. At 5 years, no difference was detected between waiting time and time to biochemical recurrence (BCR) when comparing the <3-month group with the 3-6-month group (HR 0.93; 95% CI 0.76-1.13) and the >6 months group (HR 0.74; 95% CI 0.53-1.04) among IR patients. In HR patients, no differences were observed either: 3-6 months (HR 0.85; 95% CI 0.71-1.01) and >6 months (HR 0.79; 95% CI 0.61-1.03). No increased risk of adverse pathological outcomes was found with longer delays.

Conclusions: A waiting time of ≤6 months was not associated with worse oncological prognosis, supporting its safety in IR or HR PCa.

Objective: In this study, the success of the Modified Frailty Index-5 (mFI-5) score in predicting postoperative morbidity in elderly patients who underwent radical cystectomy (RC) for bladder cancer was evaluated, and this score was compared with the widely used Charlson Comorbidity Index (CCI) and Geriatric 8 (G8) screening tools.

Methods: Between January 2017 and April 2025, 102 patients aged ≥65 years who underwent open RS for T2-T4a N0M0 bladder cancer were retrospectively reviewed. mFI-5, CCI, and G8 scores were calculated from preoperative data. Patients were divided into two groups based on mFI-5 scores: <2 (Group 1, non-frail) and ≥2 (Group 2, frail). Major complications were defined as Clavien-Dindo (CD) ≥3. Clinical data, complication rates, hospital stay duration, and readmission rates after discharge were compared.

Results: Of the patients, 40 (39.2%) were in Group 1 and 62 (60.8%) were in Group 2. The rates of any complications and CD ≥ 3 complications were higher in Group 2 (p = 0.006 and p = 0.018, respectively). In multivariate analysis, mFI-5 ≥ 2 approximately tripled the risk of CD ≥ 3 complications (OR = 3.036; 95% CI 0.966-9.546; p = 0.043). In ROC analysis, the AUC value of mFI-5 for CD ≥ 3 complications was 0.718 (95% CI: 0.613-0.822), which was higher than that of CCI and G8. The AUC value of mFI-5 for predicting readmission was 0.704 (95% CI: 0.599-0.810).

Conclusion: mFI-5 is a practical frailty assessment tool that predicts postoperative morbidity in elderly RS patients with higher accuracy than CCI and G8.

Introduction: Novel trifecta has been proposed to define surgical success in patients undergoing partial nephrectomy (PN). This study aimed to evaluate its role in predicting survival outcomes and to identify the predictors of trifecta achievement via a machine-learning based model.

Methods: Data from consecutive patients who underwent minimally invasive PN between 2003 and 2022 were retrospectively analysed. Surgical success was defined through the achievement of novel trifecta (No Clavien-Dindo ≥ 3 postoperative complications, negative surgical margins and <30% reduction in postoperative eGFR). Kaplan-Meier curves were used to assess the impact of trifecta achievement on survival. Automated chi-squared interaction detection (CHAID), a recursive machine-learning algorithm, was applied to predict trifecta achievement.

Results: A total of 465 patients were included, with a median follow-up of 72 (IQR 38-108) months. The trifecta was achieved in 73% of cases and was associated with significantly improved overall survival (85% vs. 69.8%; P = .04). Solitary kidney status, patient age, and surgical experience were the most relevant predictors, allowing classification into three clusters. Trifecta rates were 43.6% in cluster #1 (solitary kidney), 71.2% in cluster #2 (non-solitary kidney with surgical experience ≤ 80 cases or >80 cases and patients-age ≥ 65), and 88.5% in cluster #3 (non-solitary kidney, patients-age < 65, surgical experience > 80 cases).

Conclusions: Novel trifecta achievement after PN correlates with overall survival but not with other oncological outcomes. A predictive model was developed, highlighting surgical experience as the only modifiable factor. Tailored perioperative strategies and advanced surgical training may improve trifecta achievement.

Introduction and objective: uROLOGIC health is a global priority, particularly in Latin America, where access to quality services remains limited. This underscores the importance of collaboration among key societal sectors, including the public, private, and academic domains. The MEDIUVer-UROLATAM model emerges as a university-led urological health strategy aimed at promoting socially impactful health initiatives. It is grounded in core university functions, collaborative work, and a targeted approach to specific social needs. The objective was to demonstrate the utility of the MEDIUVer-UROLATAM model as a framework for facilitating prostate cancer (PCa) detection and prevention actions.

Material and methods: The MEDIUVer model was implemented in three stages through a urological campaign coordinated by the Latin American Institute of Urology (UROLATAM) and the Faculty of Medicine at Universidad Veracruzana. The initiative involved collaboration with the private sector, government agencies, and the community to facilitate the early detection of prostate cancer. Medical evaluations, diagnostic tests, and educational activities were conducted.

Results: A total of 1656 individuals were attended, with 1352 urological evaluations performed. The first stage focused on social action, the second strengthened inter-institutional collaboration, and the third incorporated educational research and healthcare services for the transgender population. This approach led to greater stakeholder integration and an expanded social impact.

Conclusions: The MEDIUVer-UROLATAM model is an educational, training, and care-oriented tool for both the general population and healthcare professionals in terms of timely prostate cancer (PCa) detection and prevention.