Physical Functioning, Pain, and Health‐Related Quality of Life in Adults With Juvenile Idiopathic Arthritis: A Longitudinal 30‐Year Followup Study
Bibliographic record
Abstract
OBJECTIVE: To describe physical functioning, pain, and health-related quality of life (HRQoL) in adults with juvenile idiopathic arthritis (JIA), investigate changes over time, and identify predictors of poorer HRQoL after 30 years of disease. METHODS: Patients (n = 176) clinically examined after 15 years were reassessed using the Health Assessment Questionnaire disability index (HAQ DI), the visual analog scale pain subscale (VAS pain), and the Medical Outcomes Study Short Form 36 (SF-36) after 23 years and 30 years. Patients with signs of active disease after a minimum of 15 years were clinically examined again at 30 years. Patients were compared to matched controls. RESULTS: At the 30-year followup, 82 patients (47%) had HAQ DI scores >0, and the median VAS pain score in patients was 0.6 (range 0-10). Patients had lower SF-36 physical component summary (PCS) scores compared with controls (P < 0.001), and this was evident for patients both with and without clinical remission (P ≤ 0.01). No group differences were found in SF-36 mental component summary scores. Patients also scored worse than controls on all SF-36 subscales (P ≤ 0.01) except mental health. PCS scores worsened significantly between the 15- and 30-year followup time points (P = 0.001). Worse HAQ DI, VAS pain, and patient's global assessment of well-being scores, and receiving disability/social living allowance at 30 years, were correlated with lower PCS scores. Worse HAQ DI, patient's global assessment of well-being, and VAS fatigue scores at 15-year followup predicted lower PCS scores at 30-year followup. CONCLUSION: JIA had a detrimental effect on physical HRQoL as measured by the PCS of the SF-36. The strongest correlates were physical disability, pain, fatigue, well-being, and receiving disability/social living allowance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".