Extraskeletal Manifestations in Axial Spondyloarthritis Are Associated With Worse Clinical Outcomes Despite the Use of Tumor Necrosis Factor Inhibitor Therapy
Bibliographic record
Abstract
Objective To investigate the prevalence and 4-year incidence of acute anterior uveitis (AAU), inflammatory bowel disease (IBD) and psoriasis (PsO), and to explore associations of newly developed extraskeletal manifestations (ESMs) with clinical disease outcome in a large cohort of patients with axial spondyloarthritis (axSpA). Methods All consecutive patients included in the Groningen Leeuwarden Axial Spondyloarthritis (GLAS) cohort between 2004 and 2011 were analyzed. History of ESMs at baseline and newly developed ESMs during 4-year follow-up were only recorded when diagnosis by an ophthalmologist, gastroenterologist, or dermatologist was present. Results Of the 414 included patients with axSpA, 31.4% had a positive history of ≥ 1 ESMs: 24.9% AAU, 9.4% IBD, and 4.3% PsO. History of PsO was significantly associated with more radiographic damage, especially of the cervical spine. Of the 362 patients with 4-year follow-up data, 15.7% patients developed an ESM: 13.3% patients had AAU (of which 3.6% had a first episode and 9.7% had recurrent AAU), 1.9% developed IBD, and 0.8% developed PsO. Patients with newly developed ESMs (without history of ESMs) had worse Ankylosing Spondylitis Quality of Life scores (mean 10.0 vs. 5.8, P = 0.001), larger occiput-wall distance (median 6.3 vs. 2.0, P = 0.02) and more limited modified Schober test (mean 12.6 vs. 13.6, P = 0.01) after 4 years of follow-up. The majority of patients developing an ESM used anti–tumor necrosis factor therapy. Conclusion History of ESMs was present at baseline in one-third of patients with axSpA. The 4-year incidence of ESMs was relatively low, but patients who developed a new ESM reported worse quality of life.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".