Comparison of supine and prone mini percutaneous nephrolithotomy in obese patients: a retrospective study.

INTRODUCTION: To compare the safety and effectiveness of Mini Percutaneous Nephrolithotomy (m-PNL) operations performed in the supine and prone positions in obese patients. METHODS: We retrospectively analysed data from obese patients (BMI ≥ 30) who underwent prone or supine mPCNL between January 2014 and June 2021 in our clinic. Kidney anomalies, coagulopathy, solitary kidney, skeletal deformity, and patients under 18 were excluded. Outcomes measures included operation time, fluoroscopy time, duration of hospitalisation, stone-free rate, and complications classified by Clavien-Dindo. Statistical analysis was performed using SPSS version 26. RESULTS: The study included 338 patients (100 supine, 238 prone). Supine mPCNL had a shorter mean operation time (89.6 vs. 100.3 minutes, p=0.001), fluoroscopy time, and duration of hospitalisation (60.7 vs. 112.0 hours, p=0.001). Overall complication rates were comparable, but major complications were higher in the prone group (p=0.041). Logistic regression identified stone size >25 mm and prone position as significant risk factors for major complications. CONCLUSION: Supine and prone mPCNL are both effective for treating kidney stones in obese patients. Supine mPCNL offers benefits, such as shorter operation time, reduced radiation exposure, and fewer major complications. Careful monitoring is recommended for patients with high CCI scores or larger stones due to increased complication risks.

Performance of the EORTC and CUETO Models to Predict Recurrence and Progression in High-risk Non-muscle-invasive Bladder Cancer Patients.

PURPOSE: To evaluate the performance of the European Organization for Research and Treatment of Cancer (EORTC) and the Spanish Urological Club for Oncological Treatment (CUETO) risk scoring models in non-muscle-invasive bladder cancer (NMIBC) patients defined as high risk according to European Association of Urology guidelines and managed based on current recommendations. MATERIAL AND METHODS: Data from 187 high-risk NMIBC patients treated at a tertiary center between July 2010 and November 2021 were analyzed retrospectively. One- and five-year recurrence- and progression-free survival were assessed for each patient using the EORTC and CUETO risk scores. The patients were divided into four risk groups according to their risk scores as low, medium-low, medium-high and high risk, as indicated in the models. Discriminative ability was evaluated with the Harrell's concordance index (c-index). RESULTS: Both risk scoring models overestimated the risk of recurrence and progression at one and five years. Only the prediction of recurrence at five years in the high risk group according to the CUETO model was compatible with our cohort. CUETO (c-indices for recurrence and progression were 0.802 and 0.834, respectively) exhibited better discrimination than EORTC (0.722 for recurrence and 0.752 for progression) in the prediction of disease recurrence and progression. CONCLUSION: The CUETO model was superior to the EORTC model in predicting recurrence and progression and stratifying patients with different prognoses in our high-risk NMIBC patient population treated according to current guideline recommendations. However, both models overestimated the probability of disease recurrence and progression. Only the probability of recurrence at five years in the high-risk group of the CUETO model was compatible with our cohort.

Evaluating the performance of ChatGPT in answering questions related to pediatric urology.

INTRODUCTION: Artificial intelligence is advancing in various domains, including medicine, and its progress is expected to continue in the future. OBJECTIVE: This research aimed to assess the precision and consistency of ChatGPT's responses to commonly asked inquiries related to pediatric urology. MATERIALS AND METHODS: We examined commonly posed inquiries regarding pediatric urology found on urology association websites, hospitals, and social media platforms. Additionally, we referenced the recommendations tables in the European Urology Association's (EAU) 2022 Guidelines on Pediatric Urology, which contained robust data at the strong recommendation level. All questions were systematically presented to ChatGPT's May 23 Version, and two expert urologists independently assessed and assigned scores ranging from 1 to 4 to each response. RESULTS: A hundred thirty seven questions about pediatric urology were included in the study. The answers to questions resulted in 92.0% completely correct. The completely correct rate in the questions prepared according to the strong recommendations of the EAU guideline was 93.6%. No question was answered completely wrong. The similarity rates of the answers to the repeated questions were between 93.8% and 100%. CONCLUSION: ChatGPT has provided satisfactory responses to inquiries related to pediatric urology. Despite its limitations, it is foreseeable that this continuously evolving platform will occupy a crucial position in the healthcare industry.