ArticleArthritis care & research2022
Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium.
Article in Arthritis care & research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Diffusion Tensor Imaging of Knee Cartilage for Detection of Early Osteoarthritis and Prediction of Radiographic Progression.Journal of magnetic resonance imaging : JMRI · 2026Article
- Predicting Knee osteoarthritis progression using explainable machine learning and clinical imaging data.Osteoarthritis and cartilage open · 2026Article
- Osteoarthritis: Epidemiology, Diagnosis, and Treatment.MedComm · 2026Review
- Bone Shape Feature Differences in Single and Recurrent Patellar Dislocations via Statistical Shape Modeling.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026Article
- Translational Progress and Clinical Challenges in Bioengineered Bone and Joint Repair.Biomedicines · 2026Review
- Evaluating the utility of prognostic enrichment in clinical trials: Applications to clinical trial design in osteoarthritis.Osteoarthritis and cartilage · 2026Article
- Clinical validation of fully automated (peri-)articular tissue analysis for assessing osteoarthritis progression: A narrative review.Osteoarthritis and cartilage open · 2026Review
- Borderline acceleration in blood epigenetic age of unclear biological importance in knee osteoarthritis progression: Specimens and data from the Osteoarthritis Initiative and Johnston County Osteoarthritis Project.Osteoarthritis and cartilage · 2026Article
- Disruption of the microenvironmental ecosystem in subchondral bone marrow lesions: Roles in osteoarthritis pathophysiology, pain and progression.Osteoarthritis imaging · 2026Article
- Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study.JMIR medical informatics · 2026Article
- Cartilage loss is greater in knees with virtual joint replacement status than in matched controls without.Osteoarthritis and cartilage open · 2025Article
- Analytic challenges in defining structural phenotypes in OA clinical trials: a perspective.Osteoarthritis imaging · 2025Article
- Biochemical biomarkers of knee osteoarthritis progression: Results from the FNIH biomarkers consortium progress OA study.Osteoarthritis and cartilage open · 2025Article
- Quantitative meniscus imaging and analysis: A narrative review.Osteoarthritis imaging · 2025Article
- Multifaceted imaging strategies for clinical trials of knee osteoarthritis-a tightly interlinked value and precision chain.Skeletal radiology · 2025Review
- Analysis of multiple MRI-based quantitative structural measurements of knee osteoarthritis in a case control study - association with pain and structural progression and comparison to semi-quantitative scoring.Osteoarthritis and cartilage open · 2025Article
- Comparison between coronal FLASH and sagittal double echo steady state MRI in detecting longitudinal cartilage thickness change by fully automated segmentation - Data from the FNIH biomarker cohort.Osteoarthritis and cartilage open · 2025Article
- Magnetic Resonance Imaging Biomarkers of Knee Osteoarthritis Progression.ACR open rheumatology · 2025Article
- Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study.PLoS medicine · 2025Article
- The changes in 3D bone morphology mediate the association between meniscal extrusion and radiographic progression of osteoarthritis: data from the Osteoarthritis Initiative.Quantitative imaging in medicine and surgery · 2025Article
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Authors and funding
15 authors.
Funding
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 <0.10 in univariate analysis were selected, including quantitative cartilage thickness and volume on magnetic resonance imaging (MRI), semiquantitative MRI markers, bone shape and area, quantitative meniscal volume, radiographic progression (trabecular bone texture [TBT]), and serum and/or urine biochemical markers. Multivariable logistic regression models were built using 3 different stepwise selection methods (complex models versus parsimonious models).
resultsAmong baseline biomarkers, the number of locations affected by osteophytes (semiquantitative), quantitative central medial femoral and central lateral femoral cartilage thickness, patellar bone shape, and semiquantitative Hoffa-synovitis predicted OA progression in most models (C statistic 0.641-0.671). In most models, 24-month changes in semiquantitative MRI markers (effusion-synovitis, meniscal morphologic changes, and cartilage damage), quantitative central medial femoral cartilage thickness, quantitative medial tibial cartilage volume, quantitative lateral patellofemoral bone area, horizontal TBT (intercept term), and urine N-telopeptide of type I collagen predicted OA progression (C statistic 0.680-0.724). A different combination of imaging and biochemical biomarkers (baseline and 24-month change) predicted radiographic progression only, which had a higher C statistic of 0.716-0.832.
conclusionThe present study highlights the combination of biomarkers with potential prognostic utility in OA disease-modifying trials. Properly qualified, these biomarkers could be used to enrich future trials with participants likely to experience progression of knee OA.
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