Endoscopically Active Ulcerative Colitis Is Associated With Asymptomatic Atherosclerotic Vascular Disease: A Case-Control Study
Bibliographic record
Abstract
BACKGROUND: Chronic inflammation in immune-mediated conditions has been associated with an increased risk in atherosclerotic disease. There is paucity of evidence regarding the prevalence of asymptomatic atherosclerosis in patients with ulcerative colitis (UC) and its association with disease activity. We sought to compare the prevalence of asymptomatic atherosclerotic disease between young patients with UC with and without mucosal healing (MH) and healthy control individuals. METHODS: An observational study was conducted in 2 hospitals in Buenos Aires, Argentina. Patients with UC 18 to 50 years of age with at least 1 previous colonoscopy in the last year were enrolled, along with age- and sex-matched healthy control individuals. Carotid and femoral ultrasound assessments were performed to determine the prevalence of atherosclerotic lesions and abnormal intima-media thickness (IMT). We compared the prevalence of atherosclerotic disease and the prevalence of abnormally increased IMT in at least 1 vascular territory. RESULTS: Sixty patients with UC and 60 healthy control individuals were enrolled. Mean age was 38 years and 53.33% were men. Although the prevalence of atherosclerotic lesions was similar in patients with UC without MH when compared with both patients with UC with MH and control individuals (3.7% vs 0% vs 6.67%; P = .1), we found a significant increase in abnormal IMT in at least 1 vascular territory in UC patients without MH when compared with healthy control individuals (48.15% vs 26.67%; P = .05). CONCLUSIONS: Patients with UC with active mucosal inflammation showed a significantly increased odds of asymptomatic femoral or carotid vascular disease when compared with control individuals.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".