ArticleBMC musculoskeletal disorders2024
Phenotypes of osteoarthritis-related knee pain and their transition over time: data from the osteoarthritis initiative.
Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- The stability of pain phenotypes in people with hand osteoarthritis - results from the NOR-HAND study.Osteoarthritis and cartilage open · 2026Article
- Racial disparities in pain and total knee arthroplasty across knee osteoarthritis phenotypes.Frontiers in aging · 2026Article
- High prevalence of depression in symptomatic knee osteoarthritis: a cross-sectional study on risk factors and therapeutic implications.BMC musculoskeletal disorders · 2025Observational
- Preoperative Clinical Phenotyping for Individualised Rehabilitation in End-Stage Knee Osteoarthritis.Journal of functional morphology and kinesiology · 2025Article
- Joint Tissues: Convergence and Divergence of the Pathogenetic Mechanisms of Rheumatoid Arthritis and Osteoarthritis.International journal of molecular sciences · 2025Review
- Antidepressants to Manage Osteoarthritic Pain: The Value of Pain Phenotyping.Drugs & aging · 2025Review
- Females show enhanced susceptibility to develop nerve injury and constant joint pain compared to males in a mouse model of knee joint pain.Neurobiology of pain (Cambridge, Mass.)Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentification of knee osteoarthritis (OA) pain phenotypes, their transition patterns, and risk factors for worse phenotypes, may guide prognosis and targeted treatment; however, few studies have described them. We aimed to investigate different pain phenotypes, their transition patterns, and potential risk factors for worse pain phenotypes.
methodsUtilizing data from the Osteoarthritis Initiative (OAI), pain severity was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale. We identified the activity-related pain phenotypes and estimated the transition probabilities of pain phenotypes from baseline to the 24-month using latent transition analysis. We examined the risk factors at baseline with the 24-month pain phenotypes and the transition of pain phenotypes.
resultsIn 4796 participants, we identified four distinct knee pain phenotypes at both baseline and 24-month follow-up: no pain, mild pain during activity (Mild P-A), mild pain during both rest and activity (Mild P-R-A), and moderate pain during both rest and activity (Mod P-R-A). 82.9% knees with no pain at baseline stayed the same at 24-month follow-up, 17.1% progressed to worse pain phenotypes. Among "Mild P-A" at baseline, 32.0% converted to no-pain, 12.8% progressed to "Mild P-R-A", and 53.2% remained. Approximately 46.1% of "Mild P-R-A" and 54.5% of "Mod P-R-A" at baseline experienced remission by 24-month. Female, non-whites, participants with higher depression score, higher body mass index (BMI), higher Kellgren and Lawrence (KL) grade, and knee injury history were more likely to be in the worse pain phenotypes, while participants aged 65 years or older and with higher education were less likely to be in worse pain phenotypes at 24-month follow-up visit. Risk factors for greater transition probability to worse pain phenotypes at 24-month included being female, non-whites, participants with higher depression score, higher BMI, and higher KL grade.
conclusionsWe identified four distinct knee pain phenotypes. While the pain phenotypes remained stable in the majority of knees over 24 months period, substantial proportion of knees switched to different pain phenotypes. Several socio-demographics as well as radiographic lesions at baseline are associated with worse pain phenotypes at 24-month follow-up visit and transition of pain phenotypes.
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