Rowe Erynne, Hassan Elizabeth, Carlesso Lisa, Astephen Wilson Janie, Gross Douglas P, Fisher Charles, Hall Hamilton, Manson Neil, Thomas Ken, McIntosh Greg, Drew Brian, Rampersaud Raja, Macedo Luciana
School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada.
Department of Mechanical Engineering, McMaster University, Hamilton, Ontario, Canada.
Can J Pain. 2020 Dec 30;4(4):19-25. doi: 10.1080/24740527.2020.1734918.
: Symptomatic lumbar spinal stenosis (SLSS) is a condition in which narrowing of the spinal canal results in entrapment and compression of neurovascular structures. Decompressive surgery, with or without spinal fusion, is recommended for those with severe symptoms for whom conservative management has failed. However, significant persistent pain, functional limitations, and narcotic use can affect up to one third of patients postsurgery. : The aim of this study will be to identify predictors of outcomes 1-year post SLSS surgery with a focus on modifiable predictors. : The Canadian Spine Outcomes Research Network (CSORN) is a large database of prospectively collected data on pre- and postsurgical outcomes among surgical patients. We include participants with a primary diagnosis of SLSS undergoing their first spine surgery. Outcomes are measured at 12 months after surgery and include back and leg pain, disability (Oswestry Disability Index, ODI), walking capacity (ODI item 4), health-related quality of life, and an overall recovery composite outcome (clinically important changes in pain, disability, and quality of life). Predictors include demographics (education level, work status, marital status, age, sex, body mass index), physical activity level, smoking status, previous conservative treatments, medication intake, depression, patient expectations, and other comorbidities. A multivariate partial least squares model is used to identify predictors of outcomes. : Study results will inform targeted SLSS interventions, either for the selection of best candidates for surgery or the identification of targets for presurgical rehabilitation programs.
症状性腰椎管狭窄症(SLSS)是一种椎管狭窄导致神经血管结构受压的疾病。对于保守治疗失败且症状严重的患者,建议进行减压手术,可选择是否进行脊柱融合术。然而,高达三分之一的患者术后会出现严重的持续性疼痛、功能受限和使用麻醉药物的情况。本研究的目的是确定SLSS手术后1年预后的预测因素,重点关注可改变的预测因素。加拿大脊柱预后研究网络(CSORN)是一个大型数据库,前瞻性收集了手术患者术前和术后预后的数据。我们纳入了首次接受脊柱手术且初步诊断为SLSS的参与者。在术后12个月测量预后,包括背部和腿部疼痛、残疾程度(奥斯维斯特里残疾指数,ODI)、行走能力(ODI第4项)、健康相关生活质量以及总体恢复综合结果(疼痛、残疾和生活质量的临床重要变化)。预测因素包括人口统计学特征(教育程度、工作状态、婚姻状况、年龄、性别、体重指数)、身体活动水平、吸烟状况、既往保守治疗、药物摄入、抑郁、患者期望以及其他合并症。使用多元偏最小二乘模型来确定预后的预测因素。研究结果将为有针对性的SLSS干预提供依据,无论是为手术选择最佳候选人,还是为术前康复计划确定目标。