PDF(Pubmed)
Abstract：
This case report describes the treatment selection process for a 36-year-old woman with stress urinary incontinence (SUI) and an overactive bladder (OAB) who desired pregnancy. The patient had comorbidities of hypertension and type 2 diabetes, which required consideration to improve her quality of life and reproductive health. A recently developed decision support tool using a discrete mathematical approach was used to select a treatment method tailored to the patient\'s individual situation. The analysis determined that vaginal erbium laser (VEL) treatment (Renovalase SP Dynamis Fotona d.o.o, Ljubljana, Slovenia) was the most suitable for this patient. VEL treatment significantly improved both SUI and OAB and changing antihypertensive medication eliminated nocturia. This case suggests the potential application of graph theory in treatment selection for SUI patients.
摘要：
此病例报告描述了希望怀孕的36岁压力性尿失禁（SUI）和膀胱过度活动症（OAB）妇女的治疗选择过程。患者有高血压和2型糖尿病的合并症，这需要考虑改善她的生活质量和生殖健康。最近开发的使用离散数学方法的决策支持工具用于选择适合患者个人情况的治疗方法。分析确定阴道铒激光（VEL）治疗（RenovalaseSPDynamisFotonad.o.o，卢布尔雅那,斯洛文尼亚）最适合该患者。VEL治疗可显着改善SUI和OAB，改变降压药可消除夜尿症。该案例表明图论在SUI患者治疗选择中的潜在应用。
