1. Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium
- Author
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Hunter, David J, Deveza, Leticia A, Collins, Jamie E, Losina, Elena, Katz, Jeffrey N, Nevitt, Michael C, Lynch, John A, Roemer, Frank W, Guermazi, Ali, Bowes, Michael A, Dam, Erik B, Eckstein, Felix, Kwoh, C Kent, Hoffmann, Steve, and Kraus, Virginia B
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Biomedical Imaging ,Pain Research ,Arthritis ,Aging ,Chronic Pain ,Clinical Research ,Musculoskeletal ,Biomarkers ,Cartilage ,Articular ,Disease Progression ,Humans ,Knee Joint ,Magnetic Resonance Imaging ,National Institutes of Health (U.S.) ,Osteoarthritis ,Knee ,Synovitis ,United States ,Public Health and Health Services ,Psychology ,Clinical sciences ,Allied health and rehabilitation science - Abstract
ObjectiveTo determine the optimal combination of imaging and biochemical biomarkers for use in the prediction of knee osteoarthritis (OA) progression.MethodsThe present study was a nested case-control trial from the Foundation of the National Institutes of Health OA Biomarkers Consortium that assessed study participants with a Kellgren/Lawrence grade of 1-3 who had complete biomarker data available (n = 539 to 550). Cases were participants' knees that had radiographic and pain progression between 24 and 48 months compared to baseline. Radiographic progression only was assessed in secondary analyses. Biomarkers (baseline and 24-month changes) that had a P value of
- Published
- 2022