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      Serum cartilage oligomeric matrix protein and development of radiographic and painful knee osteoarthritis. A community-based cohort of middle-aged women

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          Abstract

          Context and objective: We evaluated the predictive value of serum cartilage oligomeric matrix protein (sCOMP) levels over 20 years on the development of radiographic (RKOA) and painful knee osteoarthritis (KOA) in a longitudinal cohort of middle-aged women.

          Materials and methods: Five hundred and ninety-three women with no baseline KOA underwent 5-year knee radiographs over 20-years and were asked about knee pain a month before each assessment. A repeated measures logistic regression model was used where the outcomes were recorded at 5, 10, 15 and 20-years follow-up.

          Results: The highest quartile of sCOMP was associated with increased risk of RKOA with overall OR of 1.97 (95% CI: 1.33–2.91) over 20 years when compared with the lowest sCOMP quartile. The association with painful KOA was similar and also independent, but only when the fourth and third sCOMP quartiles were compared.

          Discussion and conclusion: This study demonstrates that sCOMP levels are predictive of subsequent structural changes and incidence of painful KOA, independently of age and BMI.

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          Knee pain and osteoarthritis in older adults: a review of community burden and current use of primary health care.

          G. Peat, R. McCarney, P. Croft (2001)
          Osteoarthritis is the single most common cause of disability in older adults, and most patients with the condition will be managed in the community and primary care. To discuss case definition of knee osteoarthritis for primary care and to summarise the burden of the condition in the community and related use of primary health care in the United Kingdom. Narrative review. A literature search identified studies of incidence and prevalence of knee pain, disability, and radiographic osteoarthritis in the general population, and data related to primary care consultations. Findings from UK studies were summarised with reference to European and international studies. During a one year period 25% of people over 55 years have a persistent episode of knee pain, of whom about one in six in the UK and the Netherlands consult their general practitioner about it in the same time period. The prevalence of painful disabling knee osteoarthritis in people over 55 years is 10%, of whom one quarter are severely disabled. Knee osteoarthritis sufficiently severe to consider joint replacement represents a minority of all knee pain and disability suffered by older people. Healthcare provision in primary care needs to focus on this broader group to impact on community levels of pain and disability.
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            Lifetime risk of symptomatic knee osteoarthritis.

            Louise Murphy, Todd Schwartz, Charles G Helmick … (2008)
            To estimate the lifetime risk of symptomatic knee osteoarthritis (OA), overall and stratified by sex, race, education, history of knee injury, and body mass index (BMI). The lifetime risk of symptomatic OA in at least 1 knee was estimated from logistic regression models with generalized estimating equations among 3,068 participants of the Johnston County Osteoarthritis Project, a longitudinal study of black and white women and men age >or=45 years living in rural North Carolina. Radiographic, sociodemographic, and symptomatic knee data measured at baseline (1990-1997) and first followup (1999-2003) were analyzed. The lifetime risk of symptomatic knee OA was 44.7% (95% confidence interval [95% CI] 40.0-49.3%). Cohort members with history of a knee injury had a lifetime risk of 56.8% (95% CI 48.4-65.2%). Lifetime risk rose with increasing BMI, with a risk of 2 in 3 among those who were obese. Nearly half of the adults in Johnston County will develop symptomatic knee OA by age 85 years, with lifetime risk highest among obese persons. These current high risks in Johnston County may suggest similar risks in the general US population, especially given the increase in 2 major risk factors for knee OA, aging, and obesity. This underscores the immediate need for greater use of clinical and public health interventions, especially those that address weight loss and self-management, to reduce the impact of having knee OA.
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              Lifetime risk and age at diagnosis of symptomatic knee osteoarthritis in the US.

              Elena Losina, Alexander Weinstein, William Reichmann … (2013)
              To estimate the incidence and lifetime risk of diagnosed symptomatic knee osteoarthritis (OA) and the age at diagnosis of knee OA based on self-reports in the US population.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Biomarkers
                Journal ID (iso-abbrev): Biomarkers
                Journal ID (archive): IBMK
                Journal ID (publisher-id): ibmk20
                Title: Biomarkers
                Publisher: Taylor & Francis
                ISSN (Print): 1354-750X
                ISSN (Electronic): 1366-5804
                Publication date (Print): 17 November 2015
                Publication date (Electronic): 15 December 2015
                Volume: 20
                Issue: 8 , Arthritis Biomarkers
                Pages: 557-564
                Affiliations
                [ a ]Oxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford , Oxford, UK
                [ b ]Arthritis Research UK Sports, Exercise and Osteoarthritis Centre of Excellence, University of Oxford , Oxford, UK
                [ c ]Nordic Bioscience Biomarkers and Research , Herlev, Denmark
                [ d ]MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital , Southampton, UK
                [ e ]Medical Sciences Division, University of Oxford , Oxford, UK
                [ f ]Department of Twin Research and Genetic Epidemiology, King’s College London , London, UK
                Author notes

                #Stefan Kluzek and Andrew Judge are responsible for statistical design/analysis. E-mail: stefankluzek@ 123456doctors.org.uk (S. Kluzek); andrew.judge@ 123456ndorms.ox.ac.uk (A. Judge).

                Address for correspondence: Stefan Kluzek, Oxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford , Oxford, UK. E-mail: stefankluzek@ 123456doctors.org.uk
                Article
                Publisher ID: 1105498
                DOI: 10.3109/1354750X.2015.1105498
                PMC ID: 4819573
                PubMed ID: 26848781
                SO-VID: 2b380bfc-341f-4390-9d75-46d75a71669c
                Copyright © © 2016 The Author(s). Published by Taylor & Francis.
                License:

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/Licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Date received : 8 May 2015
                Date revision received : 7 July 2015
                Date accepted : 7 July 2015
                Page count
                Pages: 8
                Categories
                Subject: Article
                Subject: Research Article

                ScienceOpen disciplines: Biochemistry
                Keywords: cohort,comp,epidemiology,knee,osteoarthritis
                Data availability:
                ScienceOpen disciplines: Biochemistry
                Keywords: cohort, comp, epidemiology, knee, osteoarthritis

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