Residual Disease Burden in Patients With Axial Spondyloarthritis and Psoriatic Arthritis Despite Low Disease Activity States in a Multiethnic Asian Population
Bibliographic record
Abstract
OBJECTIVES: To evaluate the burden of residual disease in patients with axial spondyloarthritis (axSpA) or psoriatic arthritis (PsA) who achieved low disease activity (LDA) status. METHODS: We used baseline data from a clinic registry of SpA in a tertiary hospital in Singapore. For axSpA, LDA was defined as Ankylosing Spondylitis (AS) Disease Activity Score based on erythrocyte sedimentation rate (ASDAS-ESR) < 2.1 or Bath AS Disease Activity Index (BASDAI) < 3/10. For PsA, LDA was defined by achieving 5/7 cutoffs in the minimal disease activity (MDA) or Clinical Disease Activity Index for Psoriatic Arthritis (cDAPSA) ≤ 13. RESULTS: In 262 cases of axSpA (21% women; mean ± standard deviation (SD) age 42 ± 14 yrs), 33% and 43% of patients achieved ASDAS-ESR and BASDAI LDA states, respectively, while in 142 cases of PsA (49% women, mean age 51 ± SD 14 yrs), 35% and 63% achieved MDA and cDAPSA LDA, respectively. Both axSpA and PsA patients with LDA had pain scores ranging from 14.0 to 21.4/100 and fatigue scores ranging from 3.1 to 3.6/10. Substantial burden in physical disability and mental well-being were observed, with low physical and mental component summary scores on the 36-item Short Form Health Survey. AxSpa patients in BASDAI LDA had higher ESR and lower disability than those in ASDAS-ESR LDA. cDAPSA classified nearly twice as many PsA patients into LDA than MDA. Compared to PsA patients in MDA LDA, those in cDAPSA LDA had higher active joint counts, dactylitis, enthesitis, pain scores, and patient global assessment. CONCLUSION: Despite being in LDA, patients with axSpA and PsA experienced substantial residual burden in pain, poorer physical function, and mental well-being.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".