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Visual trajectory pattern as prognostic factors for neck pain.

Birgitte Lawaetz Myhrvold1, Pernille Irgens1, Hilde Stendal Robinson1

  • 1Department of Interdisciplinary Health Sciences, Institute of Health and Society, University of Oslo, Blindern, Oslo, Norway.

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Summary

Visual trajectory patterns of neck pain history and expectations predict patient outcomes. Combining these patterns with other factors improves prognostic models, suggesting potential clinical utility for this novel approach.

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Area of Science:

  • Pain research
  • Clinical psychology
  • Biomedical engineering

Background:

  • Neck pain exhibits temporal variation and intensity fluctuations.
  • Visual trajectory patterns offer a novel method to capture these dynamics.
  • Previous and expected visual trajectory patterns are stronger outcome predictors than traditional measures.

Purpose of the Study:

  • Examine patient characteristics within previous and expected neck pain trajectory patterns.
  • Investigate the relationship between previous and expected pain trajectory patterns.
  • Assess the predictive value of a combined previous and expected pattern variable.

Main Methods:

  • Included 932 patients with neck pain consulting chiropractors.
  • Collected baseline data on pain intensity, disability, psychological variables, and expectations.
  • Analyzed global perceived effect at 12 weeks using descriptive statistics and logistic regression.

Main Results:

  • Increased pain intensity, disability, and distress correlated with more severe previous and expected patterns.
  • Severe pain history combined with negative expectations indicated a poor prognosis.
  • A combined pattern variable showed discriminative ability (AUC=0.64-0.70), enhancing prediction when added to other factors (AUC=0.70).

Conclusions:

  • Neck pain expectations are influenced by pain history, often being more optimistic.
  • Combined trajectory patterns, alongside other predictors, show potential for clinical application in prognosis.
  • Visual trajectory patterns offer an easily applicable tool for assessing neck pain dynamics and predicting outcomes.