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 and Walsh, David A. (2018) Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort. PAIN . ISSN 1872-6623

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/910955
Keywords: Knee Pain, Phenotypes, central mechanisms, Quantitative Sensory Testing
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Rheumatology, Orthopaedics and Dermatology
University of Nottingham, UK > Faculty of Science > School of Psychology
Identification Number: 10.1097/j.pain.0000000000001183
Depositing User: Akin-Akinyosoye, Kehinde
Date Deposited: 08 Feb 2018 11:45
Last Modified: 04 May 2020 19:31
URI: https://eprints.nottingham.ac.uk/id/eprint/49653

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