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A clinical prediction rule for classifying patients with low back pain who demonstrate short-term improvement with mechanical lumbar traction.

Abstract
The objective of the study was to develop a clinical prediction rule for identifying patients with low back pain, who improved with mechanical lumbar traction. A prospective, cohort study was conducted in a physiotherapy clinic at a local hospital. Patients with low back pain, referred to physiotherapy were included in the study. The intervention was a standardized mechanical lumbar traction program, which comprised three sessions provided within 9 days. Patient demographic information, standard physical examination, numeric pain scale, fear-avoidance beliefs questionnaire and Oswestry low back pain disability index (pre- and post-intervention) were recorded. A total of 129 patients participated in the study and 25 had positive response to the mechanical lumbar traction. A clinical prediction rule with four variables (non-involvement of manual work, low level fear-avoidance beliefs, no neurological deficit and age above 30 years) was identified. The presence of all four variables (positive likelihood ratio = 9.36) increased the probability of response rate with mechanical lumbar traction from 19.4 to 69.2%. It appears that patients with low back pain who were likely to respond to mechanical lumbar traction may be identified.
AuthorsCongcong Cai, Yong Hao Pua, Kian Chong Lim
JournalEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (Eur Spine J) Vol. 18 Issue 4 Pg. 554-61 (Apr 2009) ISSN: 1432-0932 [Electronic] Germany
PMID19255792 (Publication Type: Journal Article)
Topics
  • Adult
  • Anxiety (diagnosis, etiology, psychology)
  • Causality
  • Cohort Studies
  • Culture
  • Disability Evaluation
  • Fear (psychology)
  • Female
  • Humans
  • Low Back Pain (classification, diagnosis, therapy)
  • Lumbar Vertebrae (pathology, physiopathology)
  • Male
  • Middle Aged
  • Occupational Exposure (statistics & numerical data)
  • Outcome Assessment, Health Care (methods)
  • Pain Measurement
  • Patient Selection
  • Predictive Value of Tests
  • Prospective Studies
  • Surveys and Questionnaires
  • Traction (standards, statistics & numerical data)
  • Treatment Outcome
  • Young Adult

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