Aneurysmal Disease in Patients With Takayasu Arteritis
Bibliographic record
Abstract
Objective Takayasu arteritis (TA) leads to stenotic disease. Aneurysmal lesions are rarer. This study assessed the main characteristics of aneurysmal disease in a Canadian cohort of patients with TA. Methods This monocentric retrospective study included patients with TA followed at the Mount Sinai Hospital Vasculitis Clinic in Toronto. Diagnosis of TA was based on clinical findings and/or satisfied the 1990 American College of Rheumatology classification criteria. Results Seventy-four patients were included. At any time, aneurysmal disease was found in 23 (31%) patients. Median disease duration was 9.0 (IQR 7.0-19.0) years. Prior hypertension ( P = 0.02), fever ( P = 0.04), and seizure disorders ( P = 0.03) were more common. Limb claudication was less frequent ( P = 0.01). Persistent and/or new aneurysms were demonstrated in 22/23 patients at follow-up. Thoracic aorta aneurysm (13/22) was most common, followed by abdominal aorta (8/22), subclavian (7/22), and carotid (6/22) artery disease. Aortic valve regurgitation was more frequent (9/23 vs 3/48; P = 0.001). Twenty-one patients had been treated with glucocorticoids (median 6.1 years [IQR 3.7-8.1]). Methotrexate, azathioprine, and leflunomide were repeatedly used. Infliximab (7/23) was used more often ( P = 0.04), whereas tocilizumab was received by only 4 patients with aneurysmal disease ( P = 0.01). Patients with aneurysms suffered more frequent relapses (2.0 [IQR 0.0-4.0] vs 1.0 [IQR 0.0-2.0], P = 0.04). Conclusion Aneurysmal disease was found in a significant proportion of patients with TA. Given that aneurysms may carry a risk of rupture, and are associated with a higher rate of relapse, this finding should be reported systematically in TA studies.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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".