Department of Urology, Stanford University Medical Center, Stanford, California; Division of Urology, Santa Clara Valley Medical Center, San Jose, California.
Department of Urology, Stanford University Medical Center, Stanford, California.
J Urol. 2018 Jul;200(1):154-160. doi: 10.1016/j.juro.2018.02.064. Epub 2018 Feb 17.
In many individuals with spinal cord injury a return of volitional bladder voiding is considered more important than regaining motor function. Recently a predictive model using only composite bilateral lower extremity motor scores for levels L2-S1 (range 0 to 50) was proposed by the EMSCI (European Multicenter Study about Spinal Cord Injury) group. The model showed exceptional predictive power with an AUC of 0.912. We sought to further validate the EMSCI model in a national spinal cord injury cohort.
We created models of volitional voiding using the United States NSCID (National Spinal Cord Injury Database) for 2007 to 2016. In addition to testing lower extremity motor scores, we evaluated other patient variables that we hypothesized might affect volitional voiding.
Volitional voiding was present in 1,333 of the cohort of 4,327 individuals (30.8%) at 1-year followup. While younger age, female gender, increased sacral sparing, improved AIS (American Spinal Injury Association Impairment Scale) classification and a more caudal sensory level predicted volitional voiding, lower extremity motor scores were most predictive (AUC 0.919). Adding the other patient characteristics did little to improve model performance (full model AUC 0.932). Further analysis of the predictive power of lower extremity motor scores suggested that while the AUC appeared to decrease in persons who were most likely to void volitionally, the performance of the predictive model remained outstanding with a combined AIS C and D AUC of 0.792.
Our study verifies the validity of the EMSCI predictive model of volitional voiding after spinal cord injury. The differing performance of lower extremity motor scores in various AIS classifications should be noted.
在许多脊髓损伤患者中,自主膀胱排空的恢复比恢复运动功能更为重要。最近,EMSCI(欧洲脊髓损伤多中心研究)小组提出了一种仅使用 L2-S1 双侧下肢运动评分总和(范围为 0 至 50)的预测模型。该模型表现出了极好的预测能力,AUC 为 0.912。我们试图在一个国家脊髓损伤队列中进一步验证 EMSCI 模型。
我们使用美国 NSCID(国家脊髓损伤数据库)创建了 2007 年至 2016 年期间的自主排尿模型。除了测试下肢运动评分外,我们还评估了我们假设可能影响自主排尿的其他患者变量。
在队列中的 4327 人中,有 1333 人(30.8%)在 1 年随访时存在自主排尿。虽然年龄较小、女性、骶骨保留增加、改善 AIS(美国脊髓损伤协会损伤分级)分类和更低的感觉水平预测自主排尿,但下肢运动评分是最具预测性的(AUC 0.919)。添加其他患者特征对模型性能的提高作用不大(全模型 AUC 0.932)。进一步分析下肢运动评分的预测能力表明,虽然在最有可能自主排尿的人群中,AUC 似乎降低了,但预测模型的性能仍然出色,AIS C 和 D 的综合 AUC 为 0.792。
我们的研究验证了 EMSCI 预测脊髓损伤后自主排尿的模型的有效性。应注意下肢运动评分在不同 AIS 分类中的不同表现。