Literature DB >> 29739300

Does a Diagnostic Classification Algorithm Help to Predict the Course of Low Back Pain? A Study of Danish Chiropractic Patients With 1-Year Follow-up.

Lisbeth Hartvigsen, Alice Kongsted, Werner Vach, Louis-Rachid Salmi, Lise Hestbaek.   

Abstract

BACKGROUND: A diagnostic classification algorithm, "the Petersen classification," consisting of 12 categories based on a standardized examination protocol, was developed for the primary purpose of identifying clinically homogeneous subgroups of individuals with low back pain (LBP).
OBJECTIVES: To investigate whether a diagnostic classification algorithm is associated with activity limitation and LBP intensity at follow-up assessments of 2 weeks, 3 months, and 1 year, and whether the algorithm improves outcome prediction when added to a set of known predictors.
METHODS: This was a prospective observational study of 934 consecutive adult patients with new episodes of LBP who were visiting chiropractic practices in primary care and categorized according to the Petersen classification. Outcomes were disability and pain intensity measured with questionnaires at 2 weeks and 3 months, and 1-year trajectories of LBP based on weekly responses to text messages. Associations were analyzed with linear and logistic regression models. In a subgroup of patients, the numbers of visits to primary and secondary care were described.
RESULTS: The Petersen classification was statistically significantly associated with all outcomes (P<.001) but explained very little of the variance (R2 = 0.00-0.05). Patients in the nerve root involvement category had the most pain and activity limitation and the most visits to primary and secondary care. Patients in the myofascial pain category were the least affected.
CONCLUSION: The Petersen classification was not helpful in determining individual prognosis in patients with LBP receiving usual care in chiropractic practice. However, patients should be examined for potential nerve root involvement to improve prediction of likely outcomes. LEVEL OF EVIDENCE: Prognosis, level 1b. J Orthop Sports Phys Ther 2018;48(11):837-846. Epub 8 May 2018. doi:10.2519/jospt.2018.8083.

Entities:  

Keywords:  Petersen; back pain; classification; primary care; prognosis

Mesh:

Year:  2018        PMID: 29739300     DOI: 10.2519/jospt.2018.8083

Source DB:  PubMed          Journal:  J Orthop Sports Phys Ther        ISSN: 0190-6011            Impact factor:   4.751


  3 in total

1.  Individual recovery expectations and prognosis of outcomes in non-specific low back pain: prognostic factor review.

Authors:  Jill A Hayden; Maria N Wilson; Richard D Riley; Ross Iles; Tamar Pincus; Rachel Ogilvie
Journal:  Cochrane Database Syst Rev       Date:  2019-11-25

2.  The Danish Chiropractic Low Back Pain Cohort (ChiCo): Description and Summary of an Available Data Source for Research Collaborations.

Authors:  Alice Kongsted; Orla Lund Nielsen; Henrik Wulff Christensen; Jan Hartvigsen; Klaus Doktor; Peter Kent; Tue Secher Jensen
Journal:  Clin Epidemiol       Date:  2020-10-02       Impact factor: 4.790

3.  Frequently repeated measurements -our experience of collecting data with SMS.

Authors:  I Axén; I Jensen; E Butler Forslund; B Grahn; V Jørgensen; C H Opava; L Bodin
Journal:  BMC Med Res Methodol       Date:  2020-05-19       Impact factor: 4.615

  3 in total

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