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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".