Balgrist University Hospital, University of Zürich, Zürich, Switzerland.
University of Pavia, Pavia, Italy; Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Neurorehabil Neural Repair. 2019 Nov;33(11):902-910. doi: 10.1177/1545968319868722. Epub 2019 Aug 27.
Predicting functional outcomes after traumatic spinal cord injury (SCI) is essential for counseling, rehabilitation planning, and discharge. Moreover, the outcome prognosis is crucial for patient stratification when designing clinical trials. However, no valid prediction rule is currently available for bowel outcomes after a SCI. . To generate a model for predicting the achievement of independent, reliable bowel management at 1 year after traumatic SCI. . We performed multivariable logistic regression analyses of data for 1250 patients with traumatic SCIs that were included in the European Multicenter Study about Spinal Cord Injury. The resulting model was prospectively validated on data for 186 patients. As potential predictors, we evaluated age, sex, and variables from the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) and the Spinal Cord Independence Measure (SCIM), measured within 40 days of the injury. A positive outcome at 1 year post-SCI was assessed with item 7 of the SCIM. . The model relied on a single predictor, the ISNCSCI total motor score-that is, the sum of muscle strengths in 5 key muscle groups in each limb. The area under the receiver operating characteristics curve (aROC) was 0.837 (95% CI: 0.815-0.859). The prospective validation confirmed high predictive power: aROC = 0.817 (95% CI: 0.754-0.881). . We generated a valid model for predicting independent, reliable bowel management at 1 year after traumatic SCI. Its application could improve counseling, optimize patient-tailored rehabilitation planning, and become crucial for appropriate patient stratification in future clinical trials.
预测创伤性脊髓损伤(SCI)后的功能结果对于咨询、康复计划和出院至关重要。此外,当设计临床试验时,预后结果对于患者分层至关重要。然而,目前尚无有效的 SCI 后排便结果预测规则。
生成一个预测创伤性 SCI 后 1 年实现独立、可靠排便管理的模型。
我们对纳入欧洲多中心脊髓损伤研究的 1250 例创伤性 SCI 患者的数据进行了多变量逻辑回归分析。该模型在 186 例患者的数据中进行了前瞻性验证。作为潜在的预测因素,我们评估了年龄、性别以及国际 SCI 神经分类标准(ISNCSCI)和脊髓独立性测量(SCIM)中的变量,这些变量在损伤后 40 天内测量。通过 SCIM 的第 7 项评估 SCI 后 1 年的阳性结果。
该模型仅依赖于一个预测因素,即 ISNCSCI 总运动评分,即每个肢体 5 个关键肌肉群的肌肉力量总和。受试者工作特征曲线下面积(aROC)为 0.837(95%CI:0.815-0.859)。前瞻性验证证实了其具有较高的预测能力:aROC=0.817(95%CI:0.754-0.881)。
我们生成了一个预测创伤性 SCI 后 1 年实现独立、可靠排便管理的有效模型。其应用可以改善咨询,优化个体化康复计划,并为未来临床试验中适当的患者分层提供关键依据。