Progrès en Urologie

Should we perform subtotal hysterectomy associated with sacral colpopexy for genital prolapse to prevent the risk of endometrial cancer?

In a menopausal woman scheduled for curative surgery for pelvic organ prolapse (POP) by sacral colpopexy (SC), the question of concomitant hysterectomy is frequently considered by the surgeon. The risk of endometrial cancer (EC) exists in this population, and increases with age and body mass index. The French college of gynecologists and obstetricians (CNGOF) decided to issue good practice guidelines on subtotal hysterectomy (SH) for postmenopausal women scheduled for SC for POP. The CNGOF has decided to adopt the AGREE II and GRADE systems for grading scientific evidence. Each recommendation for practice was allocated a grade, which depends on the quality of evidence (QE) (clinical practice guidelines). The prevalence of occult endometrial cancer (EC) found on pathological analysis after SH in this context (concomitant SH associated with SC) is low (<1%) (QE: high). Few studies have assessed the value of preoperative uterine exploration. Performing SH during SC is associated with its own risks, which may diminish the potential "carcinological prevention benefit". Uterine morcellation, performed by laparoscopy or a robot-assisted procedure, is associated with a low risk (<0.6%) of dissemination of an unknown sarcoma/EC (QE: moderate) A risk of dissemination of parasitic myomas (<0.5%) is also possible (QE: moderate). It is not recommended to perform a subtotal hysterectomy associated with sacral colpopexy for the sole purpose of reducing the occurrence of endometrial cancer (Recommendation: STRONG [GRADE 1-]; the level of evidence was considered to be low and the risk-benefit balance was considered not to be favorable).

Development of a risk nomogram predicting urinary tract infection in patients with indwelling urinary catheter after radical surgery for cervical cancer

Cervical cancer (CC) patients receiving indwelling catheterization after radical hysterectomy (RH) are vulnerable to urinary tract infection (UTI). However, no model or method is available to predict the risk of UTIs. Therefore, our aim was to develop and verify a risk model to predict UTI for patients receiving indwelling catheterization after radical cervical cancer surgery (ICa-RCCS). We first collected clinical information of 380 patients receiving ICa-RCCS from January 2020 to December 2021 as a training cohort to develop the risk nomogram. UTI was then evaluated using 19 UTI predictor factors. The least absolute shrinkage and selection operator (LASSO) method was utilized for the extraction characteristics. Multivariable logistic regression analysis was then conducted to create the risk model for UTI prediction. The consistency coefficient and calibration curve were utilized to assess the model's fit accuracy. We performed bootstrapping with 1000 random samples for internal validation of the model, and decision curve analysis (DCA) for clinical application. Predictors in the risk nomogram included indwelling catheterization duration, whether it is secondary indwelling catheterization, history of UTIs, age, and history of chemotherapy before surgery. The risk nomogram presented good discrimination and calibration (C-index: 0.810, 95% CI: 0.759-0.861). During interval validation, the model reached a high C-index up to 0.7930. DCA revealed the clinical utility of predictive model for UTI. Clinical benefit was initiated at the decision threshold≥3%. We developed a novel UTI nomogram incorporating the age, history of chemotherapy before surgery, indwelling catheterization duration, whether it is secondary indwelling catheterization, and history of UTI to predict UTI risk for patients receiving ICa-RCCS. B: 3a.