A multicenter prospective observational study of risk factors for the development and progression of knee osteoarthritis and knee pain
MOST is a nationwide research study, sponsored by the National Institutes of Health / National Institute on Aging (part of the Department of Health & Human Services), that will help us better understand how to prevent and treat knee osteoarthritis, one of the most common causes of disability in adults.
This site is MOST Online, providing public access to the Multicenter Osteoarthritis Study data and knee images in accordance with the NIH Data Sharing Policy (NOT-OD-03-032, 2/26/03).
Summary of Data and Images Currently Available
Clinical Data
Self-administered questionnaire, interview, and exam data acquired at the following time points:
Baseline (N=3026 participants)
15-month follow-up (N=3007 participants)
30-month follow-up (N=2969 participants)
Radiograph Images
Knee x-ray acquired at the following time points:
Baseline (N=5961 knees from 3024 participants)
15-month follow-up (N=577 knees from 293 participants)
30-month follow-up (N=5141 knees from 2657 participants)
Longitudinal Radiograph Assessments (BL to 15M and 30M)
Semi-quantitative scoring of radiographs, including Kellgren and Lawrence grades, OARSI joint space narrowing, osteophyte grades, and features of patello-femoral OA (N=3026 participants).
MR Images
1.0T knee MRI acquired at the following time points:
Baseline (N=5035 knees from 2600 participants)
15-month follow-up (N=820 knees from 575 participants)
30-month follow-up (N=4245 knees from 2225 participants)
MR Image Assessments (BL to 15M and 30M)
Semi-quantitative Whole-Organ Magnetic Resonance Imaging (WORMS) scoring for presence and severity of structural features related to OA, including cartilage lesions, meniscal damage, bone marrow lesions, and osteophytes.
Incident Knee Symptoms (BL to 15M) Cases and Controls (N= 415 knees)
Subset of Knees with Baseline OA (BL to 30M) (N= 598 knees)
Incident Radiographic OA (BL to 30M) Cases and Controls (N= 444 knees)
