医学
腰痛
后备箱
肌电图
物理医学与康复
运动学
腰椎
电动机控制
腰骶关节
背痛
物理疗法
外科
病理
生态学
物理
替代医学
经典力学
精神科
生物
作者
Wim Dankaerts,Peter O’Sullivan,Angus Burnett,Leon Straker,Paul Davey,Ritu Gupta
出处
期刊:Spine
[Lippincott Williams & Wilkins]
日期:2009-06-25
卷期号:34 (15): 1610-1618
被引量:176
标识
DOI:10.1097/brs.0b013e3181aa6175
摘要
Statistical Classification Model for nonspecific chronic low back pain (NS-CLBP) patients and controls based on parameters of motor control.Develop a Statistical Classification Model to discriminate between 2 subgroups of NS-CLBP (Flexion Pattern [FP] and Active Extension Pattern [AEP]) and a control group using biomechanical variables quantifying parameters of motor control.It has been well documented that many CLBP patients have motor control impairments of their lumbar spine. O'Sullivan proposed a mechanism-based classification system for NS-CLBP with motor control impairments based on a comprehensive subjective and physical examination to establish the relationship between pain provocation and spinal motor control. For the FP and AEP s, 2 groups defined by O'Sullivan and under investigation is this study, the motor control impairment is considered to be the mechanism maintaining their CLBP. No previous studies have used a Statistical Model with measurements of motor control impairment to subclassify NS-CLBP patients.Thirty-three NS-CLBP patients (20 FP and 13 AEP) and 34 asymptomatic subjects had synchronized lumbosacral kinematics and trunk muscle activation recorded during commonly reported aggravating postures and movements. Biomechanical variables were quantified and a Statistical Classification Model was developed.The Statistical Model used 5 kinematic and 2 electromyography variables. The model correctly classified 96.4% of cases.Selected biomechanical variables were predictors for subgroup membership and were able to discriminate the 3 subgroups. This study adds further support toward the validation of the proposed classification system.
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