Baseline self-report ‘central mechanisms’ trait predicts persistent knee pain in the Knee Pain in the Community (KPIC) cohort

  • K. Akin-Akinyosoye, A. Sarmanova, G.S. Fernandes, N. Frowd, L. Swaithes, J. Stocks, A. Valdes, D.F. McWilliams, W. Zhang, M. Doherty, E. Ferguson, D.A. Walsh
  • Osteoarthritis and Cartilage, February 2020, Elsevier
  • DOI: 10.1016/j.joca.2019.11.004

Self-reported characteristics can help predict long-term knee pain.

Photo by David Matos on Unsplash

Photo by David Matos on Unsplash

What is it about?

In people over 55, long term knee pain is often due to osteoarthritis, which may be due to structural changes caused by wear and tear. Pain can also be intensified by signals to the brain via the central nervous system. This paper investigated if a questionnaire of self-reported characteristics linked to the central nervous system can predict future persistent knee pain.

Why is it important?

This paper identifies 8 individual characteristics (anxiety; catastrophizing; cognitive impact; depression; fatigue, neuropathic-like pain; pain distribution and sleep) which contribute to pain from the central nervous system. Together these characteristics could be used as a screening tool to predict knee pain persistence and severity.

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http://dx.doi.org/10.1016/j.joca.2019.11.004

The following have contributed to this page: Dr Joanne Stocks