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手术减压治疗退行性颈椎病后功能状态、残疾和生活质量的偏最小二乘分析。

A partial least squares analysis of functional status, disability, and quality of life after surgical decompression for degenerative cervical myelopathy.

机构信息

Division of Neurosurgery, Department of Surgery, University of Toronto, 149 College Street, 5th Floor, Toronto, ON, M5T 1P5, Canada.

Spinal Program, Toronto Western Hospital, Krembil Neuroscience Center, University Health Network, 399 Bathurst Street, Suite 4W-449, Toronto, ON, M5T 2S8, Canada.

出版信息

Sci Rep. 2020 Sep 30;10(1):16132. doi: 10.1038/s41598-020-72595-2.

Abstract

Previous studies aimed at identifying predictors of clinical outcomes following surgical decompression for degenerative cervical myelopathy (DCM) are limited by multicollinearity among predictors, whereby the high degree of correlation between covariates precludes detection of potentially significant findings. We apply partial least squares (PLS), a data-driven approach, to model multi-dimensional variance and dissociate patient phenotypes associated with functional, disability, and quality of life (QOL) outcomes in DCM. This was a post-hoc analysis of DCM patients enrolled in the prospective, multi-center AOSpine CSM-NA/CSM-I studies. Baseline clinical covariates evaluated as predictors included demographic (e.g., age, sex), clinical presentation (e.g., signs and symptoms), and treatment (e.g., surgical approach) characteristics. Outcomes evaluated included change in functional status (∆mJOA), disability (∆NDI), and QOL (∆SF-36) at 2 years. PLS was used to derive latent variables (LVs) relating specific clinical covariates with specific outcomes. Statistical significance was estimated using bootstrapping. Four hundred and seventy-eight patients met eligibility criteria. PLS identified 3 significant LVs. LV1 indicated an association between presentation with hand muscle atrophy, treatment by an approach other than laminectomy alone, and greater improvement in physical health-related QOL outcomes (e.g., SF-36 Physical Component Summary). LV2 suggested the presence of comorbidities (respiratory, rheumatologic, psychological) was associated with lesser improvements in functional status post-operatively (i.e., mJOA score). Finally, LV3 reflected an association between more severe myelopathy presenting with gait impairment and poorer mental health-related QOL outcomes (e.g., SF-36 Mental Component Summary). Using PLS, this analysis uncovered several novel insights pertaining to patients undergoing surgical decompression for DCM that warrant further investigation: (1) comorbid status and frailty heavily impact functional outcome; (2) presentation with hand muscle atrophy is associated with better physical QOL outcomes; and (3) more severe myelopathy with gait impairment is associated with poorer mental QOL outcomes.

摘要

先前旨在确定退行性颈椎脊髓病 (DCM) 手术后临床结果预测因素的研究受到预测因素之间的多重共线性限制,其中协变量之间的高度相关性排除了潜在显著发现的检测。我们应用偏最小二乘法 (PLS),一种数据驱动的方法,对 DCM 相关多维方差进行建模,并分离与功能、残疾和生活质量 (QOL) 结果相关的患者表型。这是对前瞻性多中心 AOSpine CSM-NA/CSM-I 研究中入组的 DCM 患者的事后分析。作为预测因素评估的基线临床协变量包括人口统计学特征(例如,年龄、性别)、临床表现(例如,体征和症状)和治疗(例如,手术方法)特征。评估的结果包括 2 年时功能状态的变化(∆mJOA)、残疾(∆NDI)和生活质量(∆SF-36)。PLS 用于得出与特定临床协变量和特定结果相关的潜在变量 (LV)。使用引导法估计统计显着性。478 名患者符合入选标准。PLS 确定了 3 个显着的 LV。LV1 表明,手部肌肉萎缩的表现、除单纯椎板切除术以外的方法治疗以及与身体健康相关的 QOL 结果(例如,SF-36 身体健康成分综合评分)的更大改善之间存在关联。LV2 表明合并症(呼吸、风湿、心理)的存在与术后功能状态的改善较少有关(即 mJOA 评分)。最后,LV3 反映了步态障碍的更严重脊髓病与心理健康相关 QOL 结果较差之间的关联(例如,SF-36 心理健康成分综合评分)。通过 PLS,这项分析揭示了与接受 DCM 手术减压的患者相关的一些新见解,这些见解需要进一步研究:(1) 合并症状态和虚弱严重影响功能结果;(2) 手部肌肉萎缩的表现与更好的身体 QOL 结果相关;(3) 步态障碍的更严重脊髓病与较差的心理健康 QOL 结果相关。

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