RESUMO
OBJECTIVE: To observe the therapeutic effect of autologous fascial urethral suspension on female stress urinary incontinence and analyze the risk factors affecting the therapeutic effect. METHOD: The clinical data of 89 female patients with stress urinary incontinence treated in our hospital from February 2018 to February 2020 were retrospectively analyzed (training group). Another cohort of 45 patients treated in Xi'an Gaoxin Hospital from March 2020 to March 2021 were retrospectively enrolled as the validation group. Surgery-related parameters (including operation time, intraoperative blood loss, indwelling time of catheter, and hospital stay) were recorded. The scores of the urinary incontinence questionnaire short form (IC-IQ-SF), urinary incontinence quality of life questionnaire (I-QOL), and pelvic organ prolapse/urinary incontinence sexual function questionnaire (PISQ-12) were compared before and after the operation. The clinical efficacy of the treatment was counted. The risk factors affecting the treatment efficacy were analyzed. The efficacy prediction model was established by logistics regression equation and verified by the data from the validation group. RESULTS: After the treatment, the urine leakage score, urine leakage score quality of life score, and the total score were evidently reduced compared with those before the treatment (P < 0.05). Patients' I-QOL score and PISQ-12 score increased significantly after the treatment (P < 0.05). Multivariate logistics regression analysis revealed that age, BMI, history of pelvic surgery, and length of hospital stay were risk factors affecting the outcome of patients (P < 0.05). The ROC curve analysis revealed that the area under the curve of the efficacy score in predicting the treatment efficacy was 0.828, and that in the validation group was 0.895. CONCLUSION: The treatment effect of autologous fascia urethral suspension in female patients with stress urinary incontinence was significant. It improved the quality of life of patients. The risk factor analysis showed that age, BMI, history of pelvic surgery, and length of hospital stay were risk factors affecting the treatment outcome of patients.
