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Objective: To investigate and compare the influence of two numerical detrusor contractility parameters, the bladder contractility index (BCI) and the maximum Watts factor (WFmax), on transurethral resection of the prostate (TURP) outcome. Methods: A retrospective study was conducted on 236 patients who had undergone urodynamic assessment preoperatively and TURP for benign prostatic obstruction. They were evaluated by International Prostate Symptom Score (IPSS) and uroflowmetry preoperatively and 3 months postoperatively. Related criteria were established to determine the overall efficacy of TURP. Logistic regression analysis and receiver operating characteristic curves were made to investigate the influence of the BCI and WFmax on TURP efficacy. Results: Among the 236 patients, 195 treatments were effective and 41 ineffective. Multivariate analysis showed that both the BCI (OR 1.038) and the WFmax (OR 1.291) could influence TURP efficacy. For predicting TURP efficacy, the optimal cut-off values of the BCI and WFmax were 98.7 and 10.27 W/m2, respectively. The AUC, sensitivity and specificity of the BCI were 0.722, 78.5% and 61.0%; those of the WFmax were 0.761, 73.9% and 73.2%, with no significant difference (p > 0.05). Conclusions: To some extent, the BCI and the WFmax can predict TURP efficacy equally well. A discrimination level of 10.27 W/m2 may be a threshold value for detrusor underactivity (DU); as regards the BCI, the current threshold value is appropriate to diagnose DU. [ABSTRACT FROM AUTHOR]

Objectives: To develop a predictive model for the oncological outcomes of clear cell renal cell carcinoma in a Chinese population. Methods: A retrospective study of 1108 patients with clear cell renal cell carcinoma who underwent nephrectomy or partial nephrectomy between January 2006 and December 2013 was carried out. Recurrence‐free survival was calculated using Kaplan–Meier analysis. Differences between the groups were compared using the log–rank test. Cox proportional hazard regression was used to test associations between features and outcomes. The discriminative ability of the models was validated using Harrell's concordance index and bootstrapping. Results: Overall, 942 patients who met the inclusion criteria had been followed. The median follow‐up period was 72 months (range 1–143 months). Multivariate analysis showed that age, Eastern Cooperative Oncology Group performance status, preoperative platelet count, neutrophil‐to‐lymphocyte ratio, tumor size, 2010 tumor stage (pT3 and pT4) and Fuhrman nuclear grade were independent risk factors affecting recurrence‐free survival in clear cell renal cell carcinoma patients (P < 0.05). These factors were assigned to develop a new model. The patients were divided into three groups based on the risk of recurrence. The difference among the prognoses of patients in the three groups was statistically significant (P < 0.05). The concordance index for our new model and that for Leibovich's 2018 model were 0.791 and 0.750, respectively. Conclusions: In the present study, the new model has a higher concordance index than does Leibovich's 2018 model of clear cell renal cell carcinoma in the Asian population, with no added pain for patients. This new model might be an appropriate risk stratification tool for clinical work. [ABSTRACT FROM AUTHOR]

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