• Arch Phys Med Rehabil · Sep 2005

    Comparative Study

    Preliminary development of a clinical prediction rule for determining which patients with low back pain will respond to a stabilization exercise program.

    • Gregory E Hicks, Julie M Fritz, Anthony Delitto, and Stuart M McGill.
    • Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, MD 21201, USA. ghicks@som.umaryland.edu
    • Arch Phys Med Rehabil. 2005 Sep 1; 86 (9): 1753-62.

    ObjectiveTo develop a clinical prediction rule to predict treatment response to a stabilization exercise program for patients with low back pain (LBP).DesignA prospective, cohort study of patients with nonradicular LBP referred to physical therapy (PT).SettingOutpatient PT clinics.ParticipantsFifty-four patients with nonradicular LBP.InterventionA standardized stabilization exercise program.Main Outcome MeasureTreatment response (success or failure) was categorized based on changes in the Oswestry Disability Questionnaire scores after 8 weeks.ResultsEighteen subjects were categorized as treatment successes, 15 as treatment failures, and 21 as somewhat improved. After using regression analyses to determine the association between standardized examination variables and treatment response status, preliminary clinical prediction rules were developed for predicting success (positive likelihood ratio [LR], 4.0) and failure (negative LR, .18). The most important variables were age, straight-leg raise, prone instability test, aberrant motions, lumbar hypermobility, and fear-avoidance beliefs.ConclusionsIt appears that the response to a stabilization exercise program in patients with LBP can be predicted from variables collected from the clinical examination. The prediction rules could be used to determine whether patients with LBP are likely to benefit from stabilization exercises.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…