Dr DANIEL MCWILLIAMS DAN.MCWILLIAMS@NOTTINGHAM.AC.UK
Postdoctoral Research Fellow
Prediction of persistent knee pain by pressure pain detection thresholds: results from the Knee Pain In the Community cohort (KPIC)
McWilliams, Daniel F.; Frowd, Nadia; Marshall, Laura; Stocks, Joanne; Sarmanova, Aliya; Fernandes, Gwen Sascha; Hall, Michelle C.; Zhang, Weiya; Doherty, Michael; Walsh, David A.
Authors
Nadia Frowd
Laura Marshall
Dr JOANNE STOCKS JOANNE.STOCKS@NOTTINGHAM.AC.UK
Senior Research Fellow
Aliya Sarmanova
Gwen Sascha Fernandes
Michelle C. Hall
Professor WEIYA ZHANG WEIYA.ZHANG@NOTTINGHAM.AC.UK
Professor of Epidemiology
Michael Doherty
DAVID WALSH david.walsh@nottingham.ac.uk
Professor of Rheumatology
Abstract
Background:
Knee pain results from a combination of nociceptive input from the joint, and processing by the central nervous system. Pressure pain detection thresholds (PPTs) are lower and pain is more severe in people with greater central sensitisation.
Objective:
We hypothesised that lower PPTs predicted worse pain prognosis in people with knee pain.
Methods:
KPIC participants were people aged >40 years recruited from Nottingham, UK. Participants were mailed questionnaires at baseline and 1 year. This study reports a sample of responders who attended baseline and 1 year clinical assessment, had self-reported knee pain (within the last 4 weeks) and underwent PPT. PPTs were measured at the knee, anterior tibia and the sternum. Radiographic knee OA was classified using an atlas. Questionnaires measured ICOAP (constant and intermittent knee pain), painDETECT (neuropathic-like) and average knee pain severity over 4 weeks (0-10).
The presence of pain at baseline and 1 year (persistent pain), or pain severity were predicted from baseline anterior tibia PPT. Additional analyses adjusted for baseline pain score, age, sex, BMI, or for radiographic knee OA. Pain persistence (Yes/No) was analysed using t tests, odds ratios (OR) and logistic regression. Pain severity was analysed using linear regression.
Results:
The sample for this study contained n=419 people at baseline, and n=182 people reported knee pain persistent over both time points. The mean (SD) values were age 61 (9) years, BMI 30.1 (5.8) kg m-2, 59% female, and 36% fulfilled radiographic OA criteria at the index knee, for those with persistent knee pain at 1 year.
In univariate analysis, persistent knee pain was associated with a lower PPT at baseline (461 vs 424 kPa; OR (95% CI) 0.58 (0.34-0.97) p=0.020). Adjustments for age, sex and BMI removed the significance from the association (adjusted OR (95% CI) 0.64 (0.36-1.13) p=0.120).
In those with persistent pain, worse 1 year ICOAP-constant, ICOAP-intermittent, painDETECT and knee pain severity were correlated with lower baseline anterior tibia PPT ( r= -0.28 to -0.24; p
Citation
McWilliams, D. F., Frowd, N., Marshall, L., Stocks, J., Sarmanova, A., Fernandes, G. S., …Walsh, D. A. (2018). Prediction of persistent knee pain by pressure pain detection thresholds: results from the Knee Pain In the Community cohort (KPIC).
Conference Name | EULAR 2018 (Annual European Congress of Rheumatology) |
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End Date | Jun 16, 2018 |
Acceptance Date | Mar 1, 2018 |
Publication Date | Jun 13, 2018 |
Deposit Date | Apr 4, 2018 |
Publicly Available Date | Jun 13, 2018 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/937736 |
Files
KPIC PPT EULAR draft v5.pdf
(198 Kb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
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