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慢性中低度腰痛患者的被动脊柱运动特征:多变量分析。

Passive intervertebral motion characteristics in chronic mid to low back pain: A multivariate analysis.

机构信息

University College of Osteopathy, 275 Borough High Street, London SE1 1JE, United Kingdom.

Centre for Biomechanics Research, AECC University College, Bournemouth, United Kingdom.

出版信息

Med Eng Phys. 2020 Oct;84:115-125. doi: 10.1016/j.medengphy.2020.08.006. Epub 2020 Aug 18.

Abstract

PURPOSE

Studies comparing back pain patients and controls on continuous intervertebral kinematics have shown differences using univariate parameters. Hitherto, multivariate approaches have not been applied to this high dimensional data, risking clinically relevant features being undetected. A multivariate re-analysis was carried out to estimate main modes of variation, and explore group differences.

METHODS

40 participants with mechanical back pain and 40 matched controls underwent passive recumbent quantitative videofluoroscopy. Intervertebral angles of L2/3 to L4/5 were obtained for right and left side-bending, extension, and flexion. Principal components analysis (PCA) was used to identify the main modes of variation, and to obtain a lower dimensional representation for comparing groups. Linear discriminant analysis (LDA) was used to identify how groups differed.

RESULTS

PCA identified three main modes of variation, all relating to range of motion (ROM) and its distribution between joints. Significant differences were found for coronal plane motions only (right: p = 0.02, left: p = 0.03) . LDA identified a shift in ROM to more cranial joints in the back pain group.

CONCLUSION

The results confirm altered motion sharing between intervertebral joints in back pain, and provides more details about this. Further work is required to establish how these findings lead to pain, and so strengthen the theoretical basis for treatment and management of this condition.

摘要

目的

比较腰痛患者和对照组连续椎间运动学的研究使用单变量参数显示了差异。迄今为止,多变量方法尚未应用于这种高维数据,这可能会导致遗漏有临床意义的特征。本研究对多变量进行了重新分析,以估计主要的变化模式,并探讨组间差异。

方法

40 名机械性腰痛患者和 40 名匹配的对照组在卧位下进行被动定量荧光透视检查。测量右侧和左侧侧屈、伸展和屈曲时 L2/3 到 L4/5 椎间的角度。主成分分析(PCA)用于识别主要的变化模式,并为比较组获得低维表示。线性判别分析(LDA)用于确定组间的差异。

结果

PCA 确定了三个主要的变化模式,都与运动范围(ROM)及其在关节之间的分布有关。仅在冠状面运动中发现了显著差异(右侧:p=0.02,左侧:p=0.03)。LDA 确定了腰痛组 ROM 向更颅侧关节的转移。

结论

研究结果证实了腰痛患者椎间关节运动的改变,并提供了更多关于这方面的细节。需要进一步的工作来确定这些发现如何导致疼痛,从而为这种疾病的治疗和管理提供更坚实的理论基础。

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