Prognostic modeling in early rheumatoid arthritis: reconsidering the predictive role of disease activity scores.
Alix BirdLauren Oakden-RaynerLuke A SmithMinyan ZengShonket RaySusanna ProudmanLyle J PalmerPublished in: Clinical rheumatology (2024)
In our study of mHAQ prediction in RA patients receiving treat-to-target therapy, patient-reported outcomes were most consistently predictive of function. Patients with high disease activity due predominantly to tenderness scores rather than swelling may benefit from less aggressive treatment escalation and an emphasis on non-pharmacological therapies, allowing for a more personalized approach to treatment. Key Points • Long-term use of the treat-to-target strategy in this patient cohort offers a unique opportunity to develop prognostic models for functional outcomes using extensive longitudinal data. • Patient reported outcomes were more consistent predictors of function than traditional prognostic markers. • Tender joint count and swollen joint count had discordant relationships with future function, adding weight to the possibility that disease activity may better guide treatment when the components are considered separately.
Keyphrases
- disease activity
- rheumatoid arthritis
- systemic lupus erythematosus
- patient reported outcomes
- rheumatoid arthritis patients
- ankylosing spondylitis
- juvenile idiopathic arthritis
- physical activity
- interstitial lung disease
- body mass index
- case report
- machine learning
- big data
- bone marrow
- artificial intelligence
- systemic sclerosis
- study protocol