Department of Urology, Maasstad Hospital, Rotterdam, The Netherlands.
Department of Urology, Amsterdam UMC, VU University Medical Center, room 4F27, De Boelelaan 1117, Postbus 7057, Amsterdam, 1081HV, The Netherlands.
J Robot Surg. 2021 Aug;15(4):593-602. doi: 10.1007/s11701-020-01145-9. Epub 2020 Sep 15.
The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (RARP) depends on multiple clinical, anatomical and surgical factors. There are only few risk formulas, tables or nomograms predicting PPI that may assist clinicians and their patients in adequate risk counseling on postoperative side-effects. Prospective data collection of 1814 patients who underwent RARP between 2009 and 2017 was done. Pre-operative parameters were age, body mass index (BMI), prostate volume, the American Society of Anesthesiologists (ASA) score, severity of Lower Urinary Tract Symptoms (LUTS), type of planned nerve-sparing surgery and surgical experience. The continence status was reported using Patient Reported Outcome Measurements (PROMs) using the validated pad-use questionnaire EPIC26. Continence was defined as either the use of zero pads or one safety pad. Multivariable logistic regression analysis was performed to identify predictors of PPI within one year after RARP. An online prediction tool was developed and validated. The median follow-up was 36 months (range 12-108). The response rate was high at 85.2%. A total of 85% (1537/1814) of patients was continent on follow-up. One-year continence rate was 80.1% (95% CI 78.3-81.9%) (1453/1814) and increased to 87.4% (95% CI 85.4-89.4%) after 5 years. On multivariable analysis, severity of LUTS (OR = 0.56 p = 0.004), higher age (OR = 0.73 p = 0.049), extend of nerve-sparing surgery (OR = 0.60 p = 0.001) and surgeon experience (OR = 1.48 p = 0.025) were significant independent predictors for PPI. The online prediction model performed well in predicting continence status with poor discrimination and good calibration. An intuitive online tool was developed to predict PPI after RARP that may assist clinicians and their patients in counseling of treatment.
机器人辅助前列腺根治术后尿失禁(PPI)的预测取决于多种临床、解剖和手术因素。目前仅有少数风险公式、表格或列线图可预测 PPI,可能有助于临床医生及其患者对术后副作用进行充分的风险咨询。对 2009 年至 2017 年间接受机器人辅助前列腺根治术的 1814 例患者进行了前瞻性数据收集。术前参数包括年龄、体重指数(BMI)、前列腺体积、美国麻醉医师协会(ASA)评分、下尿路症状(LUTS)严重程度、计划行神经保留手术的类型和手术经验。通过使用经过验证的垫使用问卷 EPIC26 进行的患者报告结局测量(PROMs)报告了尿失禁状态。尿失禁定义为使用零垫或一个安全垫。采用多变量逻辑回归分析确定机器人辅助前列腺根治术后 1 年内 PPI 的预测因素。开发并验证了在线预测工具。中位随访时间为 36 个月(12-108 个月)。随访时的应答率很高,为 85.2%。共有 85%(1537/1814)的患者在随访时保持尿失禁。1 年的尿失禁率为 80.1%(95%CI 78.3-81.9%)(1453/1814),5 年后增加至 87.4%(95%CI 85.4-89.4%)。多变量分析显示,LUTS 严重程度(OR=0.56,p=0.004)、年龄较大(OR=0.73,p=0.049)、神经保留手术范围(OR=0.60,p=0.001)和手术医生经验(OR=1.48,p=0.025)是 PPI 的显著独立预测因素。在线预测模型在预测尿失禁状态方面表现良好,具有较差的区分度和良好的校准度。开发了一个直观的在线工具来预测机器人辅助前列腺根治术后的 PPI,可能有助于临床医生及其患者进行治疗咨询。