Characteristics of Takayasu Arteritis Patients with Severe Ischemic Events
Bibliographic record
Abstract
OBJECTIVE: Takayasu arteritis (TA) is a rare large-vessel vasculitis that puts patients at high risk of developing severe ischemic events (SIE). Outcomes for TA patients with SIE are poorly understood. We aim to describe the characteristics of TA patients experiencing SIE. METHODS: All TA patients with at least 1 followup visit seen between 1988 and 2015 were included from 3 academic centers in Ontario, Canada. Diagnosis was based on American College of Rheumatology criteria, physician opinion, and vascular imaging. SIE were defined as cerebrovascular accident (CVA), acute coronary syndrome (ACS), ischemic cardiomyopathy, ischemic blindness, and/or ischemic bowel or limb requiring surgery. RESULTS: Of the 52 patients with TA included in the study, 51 (98%) were female and 22 (42%) were of European descent. The mean age was 31 (SD 12) at the time of diagnosis and the followup time was 6 years (SD 5). Fifteen (29%) experienced an SIE: 5 CVA, 5 ACS, 1 ischemic cardiomyopathy, and 4 limb ischemia. Thirteen out of 15 SIE (87%) occurred at or before diagnosis. Patients with SIE were more likely than those without SIE to be started on corticosteroids combined with immunosuppressants (p = 0.04) and antiplatelet agents (p = 0.004). Outcomes including disease activity and damage scores were similar between patients with and without SIE. CONCLUSION: SIE are common in patients with TA and occur early in the disease. With aggressive treatment, patients with SIE had a favorable prognosis.
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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 | 0.001 | 0.001 |
| 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".