Literature DB >> 26749177

Can We Predict Those With Osteoarthritis Who Will Worsen Following a Chronic Disease Management Program?

Jillian P Eyles1, Kathryn Mills2, Barbara R Lucas3, Matthew J Williams3, Joanna Makovey1, Laurence Teoh4, David J Hunter1.   

Abstract

OBJECTIVE: To identify predictors of worsening symptoms and overall health of the treated hip or knee joint following 26 weeks of a nonsurgical chronic disease management program for hip and knee osteoarthritis (OA) and to examine the consistency of these predictors across 3 definitions of worsening.
METHODS: This prospective cohort study followed 539 participants of the program for 26 weeks. The 3 definitions of worsening included symptomatic worsening based on change in the Western Ontario and McMaster Universities Osteoarthritis Index Global score (WOMAC-G) measuring pain, stiffness, and function; a transition scale that asked about overall health of the treated hip or knee joint; and a composite outcome including both. Multivariate logistic regression models were constructed for the 3 definitions of worsening.
RESULTS: Complete data were available for 386 participants: mean age was 66.3 years, 69% were female, 85% reported knee joint pain as primary symptom (signal joint), 46% were waitlisted for total joint arthroplasty (TJA). TJA waitlist status, signal joint, 6-Minute Walk Test (6MWT), depressive symptoms, pain, and age were independently associated with at least 1 definition of worsening. TJA waitlist status and 6MWT remained in the multivariate models for the transition and composite definitions of worsening.
CONCLUSION: Participants reporting worsening on the transition scale did not consistently meet the WOMAC-G definition of worsening symptoms. TJA waitlist status was predictive of the composite definition of worsening, a trend apparent for the transition definition. However, variables that predict worsening remain largely unknown. Further research is required to direct comprehensive and targeted management of patients with hip and knee OA.
© 2016, American College of Rheumatology.

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Year:  2016        PMID: 26749177     DOI: 10.1002/acr.22836

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


  6 in total

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Authors:  Lea Ettlin; Marina Bruderer-Hofstetter; Anne-Kathrin Rausch-Osthoff; Irina Nast; Olivier Gaugler; Karin Niedermann
Journal:  BMJ Open       Date:  2022-06-07       Impact factor: 3.006

Review 2.  Challenges and controversies of complex interventions in osteoarthritis management: recognizing inappropriate and discordant care.

Authors:  Krysia S Dziedzic; Kelli D Allen
Journal:  Rheumatology (Oxford)       Date:  2018-05-01       Impact factor: 7.580

3.  The use of patient-specific equipoise to support shared decision-making for clinical care and enrollment into clinical trials.

Authors:  Harry P Selker; Denise H Daudelin; Robin Ruthazer; Manlik Kwong; Rebecca C Lorenzana; Daniel J Hannon; John B Wong; David M Kent; Norma Terrin; Alejandro D Moreno-Koehler; Timothy E McAlindon
Journal:  J Clin Transl Sci       Date:  2019-02

4.  Depression negatively affects patient-reported knee functional outcome after intraarticular hyaluronic acid injection among geriatric patients with knee osteoarthritis.

Authors:  Yu-Pin Chen; Yu-Yun Huang; Yueh Wu; Yi-Jie Kuo; Chung-Ying Lin
Journal:  J Orthop Surg Res       Date:  2019-11-27       Impact factor: 2.359

5.  Stakeholder engagement in methodological research: Development of a clinical decision support tool.

Authors:  Denise H Daudelin; Robin Ruthazer; Manlik Kwong; Rebecca C Lorenzana; Daniel J Hannon; David M Kent; Timothy E McAlindon; Norma Terrin; John B Wong; Harry P Selker
Journal:  J Clin Transl Sci       Date:  2020-02-18

6.  The Inverse OARSI-OMERACT Criteria Is a Valid Indicator of the Clinical Worsening of Knee Osteoarthritis: Data From the Osteoarthritis Initiative.

Authors:  Jeffrey B Driban; Matthew S Harkey; Lori Lyn Price; Grace H Lo; Timothy E McAlindon
Journal:  J Rheumatol       Date:  2020-06-15       Impact factor: 4.666

  6 in total

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