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Pain trajectory defines knee osteoarthritis subgroups: a prospective observational study

Radoj?i?, Maja R.; Arden, Nigel K.; Yang, Xiaotian; Strauss, Victoria Y.; Birrell, Fraser; Cooper, Cyrus; Kluzek, Stefan; VIDEO Trial Investigators

Pain trajectory defines knee osteoarthritis subgroups: a prospective observational study Thumbnail


Authors

Maja R. Radoj?i?

Nigel K. Arden

Xiaotian Yang

Victoria Y. Strauss

Fraser Birrell

Cyrus Cooper

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STEFAN KLUZEK Stefan.Kluzek@nottingham.ac.uk
Clinical Associate Professor

VIDEO Trial Investigators



Abstract

Knee osteoarthritis (OA) is a heterogeneous disease, and identification of its subgroups/phenotypes can improve patient treatment and drug development. We aimed to identify homogeneous OA subgroups/phenotypes using pain development over time; to understand the interplay between pain and functional limitation in time course, and to investigate subgroups' responses to available pharmacological and surgical treatments. We used group-based trajectory modelling to identify pain trajectories in the phase-three VIDEO trial (n=474, three-year follow-up) and also in the Osteoarthritis Initiative cohort study (n=4796, nine-year follow-up). We extended trajectory models by (1) fitting dual trajectories to investigate the interplay between pain and functional limitation over time, and (2) including analgesic use as a time-varying covariate. Also, we investigated the relationship between trajectory-groups and knee replacement in regression models. We identified four pain trajectory-groups in the trial and six in the cohort. These overlapped and led us to define four OA phenotypes: low-fluctuating, mild-increasing, moderate-treatment-sensitive and severe-treatment-insensitive pain. Over time, functional knee limitation followed the same trajectory as pain with almost complete concordance (94.3%) between pain and functional limitation trajectory-groups. Notably, we identified a phenotype with severe pain that did not benefit from available treatments, and another one most likely to benefit from knee replacement. Thus, knee OA subgroups/phenotypes can be identified based on patients' pain experiences in studies with long and regular follow-up. We provided a robust approach, reproducible between different study designs that informs clinicians about symptom development and delivery of treatment options and opens a new avenue toward personalized medicine in OA.

Journal Article Type Article
Acceptance Date Jun 2, 2020
Online Publication Date Jun 24, 2020
Publication Date Dec 1, 2020
Deposit Date Jul 13, 2020
Publicly Available Date Jul 14, 2020
Journal Pain
Print ISSN 0304-3959
Electronic ISSN 1872-6623
Publisher Lippincott, Williams & Wilkins
Peer Reviewed Peer Reviewed
Volume 161
Issue 12
Pages 2841-2851
DOI https://doi.org/10.1097/j.pain.0000000000001975
Keywords Anesthesiology and Pain Medicine; Neurology; Clinical Neurology
Public URL https://nottingham-repository.worktribe.com/output/4766366
Publisher URL https://journals.lww.com/pain/Fulltext/2020/12000/Pain_trajectory_defines_knee_osteoarthritis.19.aspx

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