Graduate Program in Orthopedics, Rocky Mountain University of Health Professions, Provo, UT, USA.
J Orthop Sports Phys Ther. 2012 May;42(5):425-36. doi: 10.2519/jospt.2012.3826. Epub 2012 Jan 25.
Prospective cohort study.
To derive a preliminary clinical prediction rule for identifying a subgroup of patients with low back pain (LBP) likely to benefit from Pilates-based exercise.
Pilates-based exercise has been shown to be effective for patients with LBP. However, no previous work has characterized patient attributes for those most likely to have a successful outcome from treatment.
Ninety-six individuals with nonspecific LBP participated in the study. Treatment response was categorized based on changes in the Oswestry Disability Questionnaire scores after 8 weeks. An improvement of 50% or greater was categorized as achieving a successful outcome. Thirty-seven variables measured at baseline were analyzed with univariate and multivariate methods to derive a clinical prediction rule for successful outcome with Pilates exercise. Accuracy statistics, receiver-operator curves, and regression analyses were used to determine the association between standardized examination variables and treatment response status.
Ninety-five of 96 participants completed the study, with 51 (53.7%) achieving a successful outcome. A preliminary clinical prediction rule with 5 variables was identified: total trunk flexion range of motion of 70° or less, duration of current symptoms of 6 months or less, no leg symptoms in the last week, body mass index of 25 kg/m2 or greater, and left or right hip average rotation range of motion of 25° or greater. If 3 or more of the 5 attributes were present (positive likelihood ratio, 10.64), the probability of experiencing a successful outcome increased from 54% to 93%.
These data provide preliminary evidence to suggest that the response to Pilates-based exercise in patients with LBP can be predicted from variables collected from the clinical examination. If subsequently validated in a randomized clinical trial, this prediction rule may be useful to improve clinical decision making in determining which patients are most likely to benefit from Pilates-based exercise.
前瞻性队列研究。
制定初步的临床预测规则,以识别出一组可能从基于普拉提的运动中获益的腰痛(LBP)患者。
基于普拉提的运动已被证明对 LBP 患者有效。然而,以前的工作没有描述最有可能从治疗中获得成功结果的患者特征。
96 名非特异性 LBP 患者参与了这项研究。根据 8 周后 Oswestry 残疾问卷评分的变化,将治疗反应分为两类。改善 50%或更多被归类为获得成功的结果。分析了基线时测量的 37 个变量,使用单变量和多变量方法得出基于普拉提运动治疗成功的临床预测规则。准确性统计、接受者操作特征曲线和回归分析用于确定标准化检查变量与治疗反应状态之间的关系。
96 名参与者中有 95 名完成了研究,其中 51 名(53.7%)获得了成功的结果。确定了一个包含 5 个变量的初步临床预测规则:总躯干屈曲活动范围 70°或以下、当前症状持续时间 6 个月或以下、最近一周无腿部症状、体重指数 25kg/m2 或以上、左侧或右侧髋关节平均旋转活动范围 25°或以上。如果 5 个属性中有 3 个或更多为阳性(阳性似然比,10.64),则体验成功结果的概率从 54%增加到 93%。
这些数据初步表明,从临床检查中收集的变量可以预测 LBP 患者对基于普拉提的运动的反应。如果在随机临床试验中得到验证,该预测规则可能有助于改善临床决策,确定哪些患者最有可能从基于普拉提的运动中受益。