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Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort

Akin-Akinyosoye, Kehinde; Frowd, Nadia; Marshall, Laura; Stocks, Joanne; Fernandes, Gwen Sascha; Valdes, Ana M.; McWilliams, Daniel F.; Zhang, Weiya; Doherty, Michael; Ferguson, Eamonn; Walsh, David A.

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Authors

Kehinde Akin-Akinyosoye

Nadia Frowd

Laura Marshall

Gwen Sascha Fernandes

Michael Doherty

EAMONN FERGUSON eamonn.ferguson@nottingham.ac.uk
Professor of Health Psychology

DAVID WALSH david.walsh@nottingham.ac.uk
Professor of Rheumatology



Abstract

This study aimed to identify self-report correlates of central pain augmentation in individuals with knee pain. A subset of participants (n=420) in the Knee Pain and related health In the Community (KPIC) baseline survey undertook pressure pain threshold (PPT) assessments. Items measuring specific traits related to central pain mechanisms were selected from the survey based on expert consensus, face validity, item association to underlying constructs measured by originating host questionnaires, adequate targeting and PPT correlations. Pain distribution was reported on a body manikin. A `central pain mechanisms’ factor was sought by factor analysis. Associations of items, the derived factor and originating questionnaires with PPTs were compared. Eight self-report items measuring traits of anxiety, depression, catastrophizing, neuropathic- like pain, fatigue, sleep disturbance, pain distribution and cognitive impact, were identified as likely indices of central pain mechanisms. PPTs were associated with items representing each trait and with their originating scales. Pain distribution classified as “pain below the waist additional to knee pain” was more strongly associated with low PPT than were alternative classifications of pain distribution. A single factor, interpreted as “central pain mechanisms”, was identified across the 8 selected items and explained variation in PPT (R² = 0.17) better than did any originating scale (R² = 0.10 to 0.13). In conclusion, including representative items within a composite self-report tool might help identify people with centrally augmented knee pain.

Journal Article Type Article
Acceptance Date Feb 5, 2018
Online Publication Date Feb 9, 2018
Publication Date 2018-06
Deposit Date Feb 8, 2018
Publicly Available Date Feb 9, 2018
Journal PAIN
Print ISSN 0304-3959
Electronic ISSN 1872-6623
Publisher Lippincott, Williams & Wilkins
Peer Reviewed Peer Reviewed
Volume 159
Issue 6
Pages 1035–1044
DOI https://doi.org/10.1097/j.pain.0000000000001183
Keywords Knee Pain, Phenotypes, central mechanisms, Quantitative Sensory Testing
Public URL https://nottingham-repository.worktribe.com/output/910955
Publisher URL https://insights.ovid.com/crossref?an=00006396-900000000-99036

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