Personalized Risk Model and Leveraging of Magnetic Resonance Imaging–Based Structural Phenotypes and Clinical Factors to Predict Incidence of Radiographic Osteoarthritis
Main finding · Time to radiographic OA (radiographic OA disease-free survival), adjusted for risk factorsResult — go to the resultTimes higher risk 2.8 95% CI 2.25–7.54Authors' conclusion
Four ROAMES phenotypes may contribute to time to radiographic OA incidence
Study context
- Population
- Participants without radiographic osteoarthritis (OA) at baseline from the Osteoarthritis Initiative study
- Participants
- 2,328 participants
- Exposure
- Magnetic resonance imaging (MRI)-based Rapid Osteoarthritis MRI Eligibility Score (ROAMES) structural phenotypes present vs absent
- Outcome
- Time to incidence of radiographic OA (radiographic OA disease-free survival)
Methodological detailsdeep-learning MRI phenotype assessment, Cox proportional hazards regression, adjusted for known risk factors
- Deep-learning MRI phenotype assessment
- Cox proportional hazards regression
- Adjusted for known risk factors
Main finding
As reported in the abstract
Time to radiographic OA (radiographic OA disease-free survival), adjusted for risk factors
Times higher risk
2.8
95% CI 2.25–7.54
Observational data: associations, not effects.
Further findings
| Outcome | Times higher risk (95% CI) |
|---|---|
| Radiographic OA risk: female with hypertrophic phenotype vs male without hypertrophic phenotype | 2.8 (2.25–7.54) |
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Personalized Risk Model and Leveraging of Magnetic Resonance Imaging–Based Structural Phenotypes and Clinical Factors to Predict Incidence of Radiographic Osteoarthritis. Arthritis Care Res (Hoboken). Published 10 December 2022. doi:10.
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