Distinct Symptom Clusters Predict Initial Response to MTX in Adults with New RA: A Longitudinal Analysis of the Canadian Early Arthritis Cohort
Bibliographic record
Abstract
Objectives Symptom clusters, the co-occurrence of 2+ symptoms that are stable and independent of other clusters, may share underlying mechanisms and lead to different disease outcomes, particularly if symptoms are under identified and undertreated. If patients with distinct symptom clusters display unique patterns of treatment response, this can help better match patients to treatments to optimize disease control and QOL. We previously applied a person-centered approach to group newly diagnosed early RA patients based on patient-reported pain, fatigue, depression, and anxiety levels. We compared outcomes of initial 6-month MTX response across new-onset RA patients by symptom clusters. Methods Data were from new RA patients (symptoms < 1 year) in the Canadian Early Arthritis Cohort (CATCH) between Jan 2017-Aug 2022 with active disease who were starting MTX. Participants underwent standardized assessments and completed PROMIS29 at 0, 3, and 6 months. Latent Class Analysis yielded 4 distinct groups: 1. Minimal Symptoms; 2. Mild symptoms; 3. Moderate symptoms; and 4. Moderate-Severe symptoms. Multivariable mixed effects regression was used to estimate trajectories of CDAI, disability, and participation over the first 6 months of MTX treatment across cluster groups updated at each time point and adjusting for age, sex, race, education, smoking, obesity, comorbidities, symptom duration, seropositivity, and RA treatments. Results At diagnosis, 310 ERA adults had a mean (SD) age of 56 (14), and were mostly female (67%), White (78%) with a CDAI of 29.3 (13.2). All started MTX, with no significant difference in dose or strategy across cluster groups. All groups had high disease activity (CDAI) scores at enrollment, though patients reporting severe pain, fatigue, depression, and anxiety symptoms were significantly younger, more often had a history of depression, had the highest mean CDAI, Patient Global and stiffness scores, and greater impairments in function and participation than other groups. In adjusted regression models, all groups improved over 6 months but patients in severe symptom categories consistently displayed worse trajectories of disease activity, function, and participation over the 6-month follow-up period (Figure). Predicted trajectories of CDAI, Physical Function and Social Function by symptom clusters over first 6 months Conclusion Beyond disease activity at RA onset, evaluating the presence of specific symptom clusters in the first 6 months of new RA could better identify individuals at risk for poorer MTX response. These individuals may benefit from earlier, more aggressive pharmacologic and psychosocial interventions. Addressing both physical and emotional symptoms may improve physical and social function in early RA helping to preserve autonomy, workforce participation, and QOL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".