D.J. Green
Clinical course and prognostic factors across different musculoskeletal pain sites: A secondary analysis of individual patient data from randomised clinical trials.
Green, D.J.; Lewis, M.; Mansell, G.; Artus, M.; Dziedzic, K.S.; Hay, E.M.; Foster, N.E.; Van Der Windt, D.A.
Authors
Alyn Lewis a.m.lewis@keele.ac.uk
G. Mansell
M. Artus
Professor Krysia Dziedzic k.s.dziedzic@keele.ac.uk
Elaine Hay e.m.hay@keele.ac.uk
N.E. Foster
Danielle Van Der Windt d.van.der.windt@keele.ac.uk
Abstract
BACKGROUND: Previous research has identified similar prognostic factors in patients with musculoskeletal (MSK) conditions regardless of pain presentation, generating opportunities for management based on prognosis rather than specific pain presentation. METHODS: Data from seven RCTs (2,483 participants) evaluating a range of primary care interventions for different MSK pain conditions were used to investigate the course of symptoms and explore similarities and differences in predictors of outcome. The value of pain site for predicting changes in pain and function was investigated and compared with that of age, gender, social class, pain duration, widespread pain, and level of anxiety/depression. RESULTS: Over the initial three months of follow-up, changes in mean pain intensity reflected an improvement, with little change occurring after this period. Participants with knee pain due to osteoarthritis (OA) showed poorer long-term outcome (mean difference in pain reduction at 12 months -1.85, 95% CI -2.12 to -1.57, compared to low back pain). Increasing age, manual work, longer pain duration, widespread pain, and increasing anxiety/depression scores were significantly associated with poorer outcome regardless of pain site. Testing of interactions showed some variation between pain sites, particularly for knee OA, where age, manual work and pain duration were most strongly associated with outcome. CONCLUSIONS: Despite some differences in prognostic factors for trial participants with knee OA who were older and had more chronic conditions, similarity of outcome predictors across regional MSK pain sites provides evidence to support targeting of treatment based on prognostic factors rather than site of pain. This article is protected by copyright. All rights reserved.
Citation
Green, D., Lewis, M., Mansell, G., Artus, M., Dziedzic, K., Hay, E., …Van Der Windt, D. (2018). Clinical course and prognostic factors across different musculoskeletal pain sites: A secondary analysis of individual patient data from randomised clinical trials. European Journal of Pain, 22(6), 1057-1070. https://doi.org/10.1002/ejp.1190
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 22, 2018 |
Online Publication Date | Jan 22, 2018 |
Publication Date | 2018-07 |
Journal | European Journal of Pain |
Print ISSN | 1090-3801 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 22 |
Issue | 6 |
Pages | 1057-1070 |
DOI | https://doi.org/10.1002/ejp.1190 |
Publisher URL | https://doi.org/10.1002/ejp.1190 |
Files
D Van Der Windt - Clinical course and prognostic factors across different musculoskeletal pain sites.pdf
(823 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
You might also like
Refinement and validation of a tool for stratifying patients with musculoskeletal pain
(2021)
Journal Article
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search