World Journal of Urology最新文献

Purpose: No study has compared cancer regression (d) and growth (g) rates in patients with advanced castration-sensitive prostate cancer (CSPC) treated with androgen deprivation therapy. The comparison of d and g rates provides insight into the differential impact of ADT regimens on tumor dynamics, potentially guiding more personalized treatment strategies. Therefore, we aimed to estimate these rates and evaluate their impact on survival outcomes.

Methods: Sequential prostate-specific antigen (PSA) data was obtained from the KYUCOG-1401 trial including patients with advanced CSPC randomized to gonadotropin-releasing hormone (GnRH) antagonist (group A) and GnRH agonist plus bicalutamide (group B). d and g rates were estimated by applying mathematical models and were compared in subgroups. PSA-progression-free survival (PSA-PFS), radiographic progression-free survival (rPFS), and overall survival (OS) were compared by lower and higher than the median of these rates.

Results: Patients with higher PSA and higher extent of disease score at enrollment presented higher d rates (0.03965 vs. 0.03546, p = 0.0006) and (0.03947 vs. 0.03587, p = 0.0113) for groups A and B, respectively. The median d rate was lower for group A than group B (0.03306 vs. 0.039965, respectively [p = 0.0002]). The median g rate was higher for group A than group B (0.00016 vs. 0.00002, respectively [p = 0.0014]). The g rate, but not the d rate discriminated PSA-PFS, rPFS, and OS.

Conclusion: Our results suggest that GnRH agonist plus bicalutamide reduced PSA level faster and suppressed PSA rising longer than GnRH antagonist. Moreover, measuring the g rate can predict PSA-PFS, rPFS, and OS in patients with advanced CPSC treated with androgen deprivation therapy. These findings suggest that incorporating g rate measurements into clinical practice could improve prognostic accuracy and guide treatment decisions in advanced CSPC.

Objectives: To investigate the impact of TFE3 rearrangement, analyzing clinicopathological features that influence renal cell carcinoma (RCC) recurrence, and clarify the role of immunohistochemistry (IHC) staining in diagnosis.

Methods: We screened patients diagnosed of clear cell RCC (ccRCC), fluorescence in situ hybridization (FISH) was performed on all TFE3 positive IHC tumors. Clinicopathological and survival features were collected for analysis.

Results: Out of 695 patients treated for renal tumors, 478 (68.7%) were ccRCC and 22 were suspected of TFE3 rearrangement based on IHC. Subsequent testing revealed 8 (1.15%) were positive in the FISH test (TFE3-rearranged-RCC) and 14 (2.01%) tested negative. No significant differences were noted in general characteristics among the three groups, except for age, TFE3-rearranged-RCC were younger than ccRCC (median age, 49 vs. 58 years, p=0.02). TFE3-rearranged-RCC exhibited a significant higher recurrence rate compared to ccRCC (50% vs 18.8%) and multivariate analysis revealed that TFE3 rearrangement, along with tumor size and metastasis, was an independent prognostic factor for recurrence (HR=4.6; 95% CI 1.1-21.2; p=0.05). Survival analysis demonstrated a significant shorter PFS (progression-free survival) for TFE3-rearranged-RCC compared to ccRCC.

Conclusions: TFE3 rearrangement is an independent prognostic factor for recurrence and contributes to a worse PFS, suggesting the necessity of careful follow-up. Diagnosis should be confirmed using FISH due to low specificity of IHC. Further studies are needed to confirm TFE3 IHC staining as a prognostic factor.

Objectives: To evaluate and compare the performance of ChatGPT™ (Open AI^®) and Bing AI™ (Microsoft^®) for responding to kidney stone treatment-related questions in accordance with the American Urological Association (AUA) guidelines and assess factors such as appropriateness, emphasis on consulting healthcare providers, references, and adherence to guidelines by each chatbot.

Methods: We developed 20 kidney stone evaluation and treatment-related questions based on the AUA Surgical Management of Stones guideline. Questions were asked to ChatGPT and Bing AI chatbots. We compared their responses utilizing the brief DISCERN tool as well as response appropriateness.

Results: ChatGPT significantly outperformed Bing AI for questions 1-3, which evaluate clarity, achievement, and relevance of responses (12.77 ± 1.71 vs. 10.17 ± 3.27; p < 0.01). In contrast, Bing AI always incorporated references, whereas ChatGPT never did. Consequently, the results for questions 4-6, which evaluated the quality of sources, were consistently favored Bing AI over ChatGPT (10.8 vs. 4.28; p < 0.01). Notably, neither chatbot offered guidance against guidelines for pre-operative testing. However, recommendations against guidelines were notable for specific scenarios: 30.5% for the treatment of adults with ureteral stones, 52.5% for adults with renal stones, and 20.5% for all patient treatment.

Conclusions: ChatGPT significantly outperformed Bing AI in terms of providing responses with clear aim, achieving such aim, and relevant and appropriate responses based on AUA surgical stone management guidelines. However, Bing AI provides references, allowing information quality assessment. Additional studies are needed to further evaluate these chatbots and their potential use by clinicians and patients for urologic healthcare-related questions.

Purpose: To compare the accuracy of open-source Artificial Intelligence (AI) Large Language Models (LLM) against human authors to generate a systematic review (SR) on the new pulsed-Thulium:YAG (p-Tm:YAG) laser.

Methods: Five manuscripts were compared. The Human-SR on p-Tm:YAG (considered to be the "ground truth") was written by independent certified endourologists with expertise in lasers, accepted in a peer-review pubmed-indexed journal (but not yet available online, and therefore not accessible to the LLMs). The query to the AI LLMs was: "write a systematic review on pulsed-Thulium:YAG laser for lithotripsy" which was submitted to four LLMs (ChatGPT3.5/Vercel/Claude/Mistral-7b). The LLM-SR were uniformed and Human-SR reformatted to fit the general output appearance, to ensure blindness. Nine participants with various levels of endourological expertise (three Clinical Nurse Specialist nurses, Urology Trainees and Consultants) objectively assessed the accuracy of the five SRs using a bespoke 10 "checkpoint" proforma. A subjective assessment was recorded using a composite score including quality (0-10), clarity (0-10) and overall manuscript rank (1-5).

Results: The Human-SR was objectively and subjectively more accurate than LLM-SRs (96 ± 7% and 86.8 ± 8.2% respectively; p < 0.001). The LLM-SRs did not significantly differ but ChatGPT3.5 presented greater subjective and objective accuracy scores (62.4 ± 15% and 29 ± 28% respectively; p > 0.05). Quality and clarity assessments were significantly impacted by SR type but not the expertise level (p < 0.001 and > 0.05, respectively).

Conclusions: LLM generated data on highly technical topics present a lower accuracy than Key Opinion Leaders. LLMs, especially ChatGPT3.5, with human supervision could improve our practice.

Purpose: To investigate the effects of intrarenal pelvic pressure (IPP) on pyelo-tubular backflow and renal cortical blood perfusion during mini-percutaneous nephrolithotomy (MPCNL).

Methods: Dynamic changes in pyelo-tubular backflow and renal cortical blood perfusion were studied in six patients undergoing MPCNL using dynamic contrast-enhanced ultrasonography (CEUS) and IPP monitoring.

Results: CEUS of intrarenal pelvic perfusion revealed that renal tubules began to exhibit contrast agent reflux when IPP exceeded 34 mmHg during the MPCNL procedure. There was a positive correlation between renal tubule contrast agent reflux and IPP (P < 0.05). Intravenous CEUS of renal cortical blood flow demonstrated that both intrarenal pelvic perfusion time and IPP during MPCNL significantly affected renal cortical blood perfusion. Intrarenal pelvic perfusion time and pressure were negatively correlated with contrast agent peak intensity (PI) and area under the curve (AUC) (P < 0.05). Longer intrarenal pelvic perfusion times and higher pressures resulted in decreased renal cortical blood perfusion.

Conclusion: This study directly confirmed through dynamic CEUS and real-time IPP monitoring that an increase in IPP above the threshold of approximately 34 mmHg during MPCNL in patients leads to reflux through the renal tubules and a significant decrease in renal cortical blood perfusion. The safe upper limit for intrarenal pelvic perfusion pressure during MPCNL is approximately 34 mmHg.

Purpose: Patients presenting with ureteral stones and concurrent urinary tract infections require prompt kidney drainage as per standard care guidelines. However, even in patients who are promptly drained and treated with appropriate antibiotics, the mortality rate due to urosepsis has been reported to be nearly 9%. Therefore, Predictive tools for early sepsis detection have become essential. The Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) are potential biomarkers for predicting infection risk in these patients.

Methods: A retrospective cohort analysis involving patients diagnosed with obstructing ureteral stones who underwent urgent stent placement due to suspected urinary tract infection (UTI) in the emergency room (ER) was conducted. The baseline characteristics of patients were age, sex, comorbidities, and urological history. Laboratory data collected during hospitalization included total leukocyte and platelet counts and blood cultures. Ratios were calculated from the serum studies obtained upon admission to the ER. A logistic regression model was utilized to predict the incidence of positive qSOFA score (sepsis prediction score), the need for vasopressors, intensive care unit (ICU) admission, and sepsis, using NLR and PLR as independent variables.

Results: Between January 2016 and December 2020, 143 patients with a diagnosis of obstructing ureteral stone were admitted to the ER with a suspected UTI. 11.9% showed a positive qSOFA score, 20.3% required vasopressor support for > 1 h after ureteral stent placement, 28.7% required ICU admission, and 16.8% met sepsis criteria. Sepsis was defined as patients who were qSOFA positive and vasopressors needed for more than 1 h following stent placement. Logistic regression analysis revealed that PLR and positive blood cultures correlated significantly with positive qSOFA scores. Using logistic regression analysis, PLR, NLR, and positive blood culture were each independent predictors of vasopressor requirements, ICU admission, and urosepsis.

Conclusions: NLR and PLR may be valuable prognostic markers for predicting urosepsis risk in urolithiasis patients who present with obstructing stones and concern for systemic infection. Their utility may be in helping clinicians in early risk stratification, prompt intervention, and resource allocation.

Purpose: To compare the Comprehensive Complication Index (CCI) to the Clavien-Dindo classification (CDC) in an elderly population who underwent percutaneous nephrolithotomy (PCNL) and to identify predictors of postoperative complications in this population.

Methods: We conducted a retrospective cohort study involving patients 60 years and older who underwent PCNL at our Institution between 2009 and 2020. Postoperative complications were considered up to 30 days after surgery. Both CDC and CCI were calculated to assess patient outcomes. Length of stay (LOS) and admission to the emergency room (ER) were used as surrogates of postoperative complications.

Results: We included 244 patients with a median age of 65 [63-69] years. 15.6% presented postoperative complications, and 2.5% multiple complications. LOS had a correlation coefficient of 0.29 (p < 0.001) and ER admissions had a coefficient of 0.27 (p < 0.001) with both CDC and CCI. Cost of hospitalization based on CDC underestimated CCI-based cost of hospitalization in 0.8% (p = 0.049). Higher American Society of Anesthesiology (ASA) physical status (p = 0.02), Charlson Comorbidity Index (p = 0.008), Guy's classification (p = 0.005), and history of urinary tract infection (UTI, p = 0.047) exhibited significant correlations with postoperative complications.

Conclusion: Both CDC and CCI equally correlate with LOS and ER admissions following PCNL in elderly patients. However, CDC underestimates cost of hospitalization in comparison to CCI. We found higher ASA physical status, Charlson Comorbidity Index, Guy's classification, and history of UTI as predictors of postoperative complications after this procedure in this population.

Background and objective: Prostate cancer (PCa) was the leading incident cancer and 3rd leading cause of cancer death in men in France in 2015 with inter-regional disparities. The objectives were to describe PCa incidence and mortality in France and by region, using real life data from the National Health Data System and to identify the factors associated with all-cause or PCa-specific mortality.

Methods: Men aged ≥ 18years hospitalized and/or on long-term care for PCa (ICD-10 code C61) in France between 2010 and 2021 were included. An incident case was defined by the absence of any cancer in the five years preceding the first coding. Incidence and mortality estimates were age-standardized: France 2018f standardized rates (FSR), all-cause mortality (SMR) and PCa-specific mortality (SMRspe). Factors associated with death were identified using cause-specific Cox models.

Results: The mean annual incidence was 47,081cases/year (FSR:179.6/100,000men), increasing over the period except 2020. All-cause mortality was 20,259 deaths/year (77.3/100,000men), and PCa-specific mortality was 7,265 deaths/year (27.7/100,000men). A PCa-specific mortality excess was found in Centre-Val-de-Loire (SMRspe = 1.21), Bretagne (1.18), Hauts-de-France (1.17) Normandie (1.15). After adjustment, significant PCa mortality excess was observed in Bretagne (HR = 1,29;_95%IC[1.09-1.46]) and Hauts-de-France (HR = 1.19[1.03-1.34]). The other factors associated with death were an age ≥ 60years, an increasing comorbidity index, metastatic disease at onset (major weight in specific mortality with hazard ratio HR = 16.1[15.2-17.0]), precariousness, affiliation to the agricultural scheme, and the COVID period in all-cause mortality.

Conclusion: This study updated incidence and mortality data in France. It showed differences in mortality between regions in France. The adjustment moderates regional findings based on raw mortality data.

Purpose: Overactive bladder (OAB) is a common syndrome in children, which may affect the patient's quality of life (QoL). This study aimed to evaluate the effect of standard urotherapy (SU) given on the quality of life for children diagnosed with OAB.

Methods: The study was conducted on 107 children aged 2 to 13 years who applied to the urology clinic of a hospital in China and were diagnosed with OAB. The QoL was assessed using the Pediatric Incontinence Questionnaire (PINQ). The QoL was evaluated before and 1 month later SU given.

Results: Of the 107 children, at baseline, the children with OAB revealed a total mean PINQ score of 27.40 ± 13.19, and the total mean PINQ score was 13.72 ± 9.63 at 1 month later. PINQ score showed a statistically significant difference between before and after 1 month treatment (P < 0.001).

Conclusions: The QoL of children with OAB increased may due to SU provided outpatient clinics. And it is important for children and their parents to investigate and monitor to what extent the QoL of children diagnosed with OAB is affected.

Purpose: To develop a multivariate liniear model for predicting long-term (> 3 months) post-adrenalectomy renal function decline in patients with primary aldosteronism (PA). The model aims to help identify patients who may experience a significant decline in renal function after surgery.

Methods: We retrospectively analyzed the clinical data of 357 patients who were diagnosed with PA and underwent adrenalectomy between September 2012 and February 2023. LASSO and multivariate linear regression analyses were used to identify significant risk factors for model construction. The models were further internally validated using bootstrap method.

Results: Age (P < 0.001), plasma aldosterone concentration (PAC) measured in the upright-position (PAC_U, P = 0.066), PAC measured after saline infusion (PAC_afterNS, P = 0.010), preoperative blood adrenocorticotropic-hormone level (ACTH, P = 0.048), preoperative estimated glomerular filtration rate (eGFR, P < 0.001) and immediate postoperative eGFR (P < 0.001) were finally included in a multivariate model predictive of post-adrenalectomy renal function decline and the coefficients were adjusted by internal validation. The final model is: predicted postoperative long-term (> 3 months) eGFR decline =-70.010 + 0.416*age + 6.343*lg PAC_U+4.802*lg ACTH + 7.424*lg PAC_afterNS+0.637*preoperative eGFR-0.438*immediate postoperative eGFR. The predicted values are highly related to the observed values (adjusted R = 0.63).

Conclusion: The linear model incorporating perioperative clinical variables can accurately predict long-term (> 3 months) post-adrenalectomy renal function decline.