Impaired Mobility Drives Disability in Psoriatic Arthritis - An Observational Study from Karnataka Psoriatic Arthritis Cohort (KPsAC)
Bibliographic record
Abstract
Introduction: Psoriatic arthritis (PsA) is a chronic inflammatory disease with significant functional impairment. Health Assessment Questionnaire-Disability Index (HAQ-DI) is a reliable and validated outcome measure for a variety of arthritides including PsA. Objective: The objective of this study was to assess the disability as an outcome measure in PsA using the Indian version of HAQ (I-HAQ). Methods: The I-HAQ was administered to PsA patients diagnosed as per the Classification Criteria for PsA. The I-HAQ comprises 12 questions (nine basic and three advanced activities of daily living (ADLs), on the standard HAQ format) relevant to the Indian population. Results: In the 549 participants, the mean I-HAQ was 0.31 (0.45) and 48.2% had mild-to-moderate disability (I-HAQ>0–1). Female gender, older age, higher skin, joint scores, and Disease Activity Index for PsA were associated with some disability (I-HAQ>0). Symmetric polyarthritis (0.34) and spondyloarthritis (0.32) had a significantly higher disability compared to other subsets. Analyzing the individual questions of I-HAQ, squatting in the toilet or sitting cross-legged on the floor (r = 0.78), walking 3 km (r = 0.77), and climbing a flight of stairs (r = 0.74) correlated maximally to the total I-HAQ. ADL which was affected most frequently was “climbing a flight of stairs.” I-HAQ was significantly lower in patients who had been on disease-modifying antirheumatic drugs for 6 months or more (P = 0.0001). Conclusions: The Indian version of HAQ-DI could be efficiently employed to assess outcomes in our cohort. Nearly half of the cohort had mild-to-moderate disability suggesting a high burden of inflammation. Higher joint activity scores are strongly associated with disability.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".