Department of Urology, Lille Academic Hospital, Univ. Lille, 59000, Lille, France.
Department of Urology, Strasbourg Academic Hospital, University of Strasbourg, Strasbourg, France.
World J Urol. 2023 Nov;41(11):3075-3082. doi: 10.1007/s00345-023-04638-y. Epub 2023 Oct 2.
This study aimed to seek predictive factors and develop a predictive tool for sacral nerve modulation (SNM) implantation in patients with non-obstructive urinary retention and/or slow urinary stream (NOUR/SS).
This study was designed as a retrospective study including all patients who have undergone a two-stage SNM for NOUR/SS between 2000 and 2021 in 11 academic hospitals. The primary outcome was defined as the implantation rate. Secondary outcomes included changes in bladder emptying parameters. Univariate and multivariable logistic regression analysis were performed and determined odds ratio for IPG implantation to build a predictive tool. The performance of the multivariable model discrimination was evaluated using the c-statistics and an internal validation was performed using bootstrap resampling.
Of the 357 patients included, 210 (58.8%) were finally implanted. After multivariable logistic regression, 4 predictive factors were found, including age (≤ 52 yo; OR = 3.31 [1.79; 6.14]), gender (female; OR = 2.62 [1.39; 4.92]), maximal urethral closure pressure (≥ 70 cmHO; OR: 2.36 [1.17; 4.74]), and the absence of an underlying neurological disease affecting the lower motor neuron (OR = 2.25 [1.07; 4.76]). Combining these factors, we established 16 response profiles with distinct IPG implantation rates, ranging from 8.7 to 81.5%. Internal validation found a good discrimination value (c-statistic, 0.724; 95% CI 0.660-0.789) with a low optimism bias (0.013). This allowed us to develop a predictive tool ( https://predictivetool.wixsite.com/void ).
The present study identified 4 predictive factors, allowing to develop a predictive tool for SNM implantation in NOUR/SS patients, that may help in guiding therapeutic decision-making. External validation of the tool is warranted.
本研究旨在寻找预测因素,并为 2000 年至 2021 年间在 11 所学术医院接受过两阶段骶神经调节(SNM)治疗非梗阻性尿潴留和/或尿流缓慢(NOUR/SS)的患者开发预测工具。
本研究设计为回顾性研究,纳入了所有在 11 所学术医院接受过两阶段 SNM 治疗非梗阻性尿潴留和/或尿流缓慢的患者。主要结局定义为植入率。次要结局包括膀胱排空参数的变化。进行单变量和多变量逻辑回归分析,确定 IPG 植入的优势比,以建立预测工具。使用 C 统计量评估多变量模型的判别能力,并通过自举重采样进行内部验证。
在纳入的 357 例患者中,最终植入 210 例(58.8%)。多变量逻辑回归后,发现 4 个预测因素,包括年龄(≤52 岁;OR=3.31 [1.79; 6.14])、性别(女性;OR=2.62 [1.39; 4.92])、最大尿道闭合压(≥70cmHO;OR:2.36 [1.17; 4.74])和无影响下运动神经元的潜在神经疾病(OR=2.25 [1.07; 4.76])。结合这些因素,我们建立了 16 个具有不同 IPG 植入率的反应特征,范围为 8.7%至 81.5%。内部验证发现具有良好的判别能力(C 统计量为 0.724;95%CI 为 0.660-0.789)和较低的乐观偏差(0.013)。这使我们能够开发一个预测工具(https://predictivetool.wixsite.com/void)。
本研究确定了 4 个预测因素,可为 SNM 治疗 NOUR/SS 患者的植入提供预测工具,可能有助于指导治疗决策。需要对该工具进行外部验证。