BSPAR ANNUAL CONFERENCE ABSTRACTS * Oral presentations * O1. The impact of modern management on outcomes of JIA compared with healthy controls
Bibliographic record
Abstract
Background: Development of modern therapeutic approaches over the last decade has improved short-term well-being in JIA patients. This study examines disease damage and body composition (BC). Aims: Comparison of JIA patients’ clinical well-being with matched controls assessing BC, cross-sectional inflammatory markers and the levels of joint and uveitis-associated damage relating to their management. Methods: 112 JIA patients (disease duration ≥5 years) were cross-sectionally compared with 127 age, sex, ethnicity and deprivation score-matched controls, measuring inflammatory markers (hsCRP, IL-6 and ICAM-1), growth and BC [height, weight, fat mass (FM/H2), free fat mass (FFM/H2), BMI and skinfold thickness]. Clinical examination recorded disease damage, supported by case-note review. Results: Compared with controls, patients <16 years had indistinguishable values of hsCRP (P = 0.59) and ICAM-1 (P = 0.13), but > 16 years had higher hsCRP, ICAM-1 and IL-6 (P < 0.0001). Patients < 22 years had higher Z-BMI (P = 0.019), Z-waist circumference (P = 0.001) and FM/H2 [using Tanita equations (P = 0.007), sum of four skinfolds (P = 0.005)], with 21.3% meeting obesity criteria (vs controls 5.6%) with no association with non-JIA risk factors for obesity. Compared with controls, all anthropometric equations revealed no difference in patients >22 years. Of 90 patients, Group A never required DMARDs, Group B had modern therapeutic approaches [prompt MTX (SSZ in 1) and rapid escalation to biologics] and Group C had late DMARDs/biologics intervention despite persistent inflammation. Feet, knees and temporomandibular joints were most commonly damaged. A positive correlation was found between delay in starting modern therapy and severest joint damage outcome (Table 1). Conclusions: It is of new concern that high obesity levels in the youngest patients were significantly greater than in controls. Normal inflammatory markers, reduced frequency and severity of joint damage but high complication rates of chronic anterior uveitis (CAU) were associated with modern therapeutic approaches. Disclosure statement: The authors have declared no conflict of interest. Damage to joints and eyes by disease management
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.582 | 0.245 |
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 source (direct Gemma or distilled Codex), 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".