Abstract 92: Evaluation Of The Ascending Aorta Stifness Following Kawasaki Disease In Compraison With Systemic Hypertension
Bibliographic record
Abstract
Background: Kawasaki Disease (KD) is a systemic vasculitis that affects large and medium-size arteries. The coronary arteries draw most of the clinical attention whereas few studies have taken interest in involvement of other vessels. Using an imaging-based mechanical biomarker (ImBioMark), we measured the ascending aorta (AA) stiffness in pediatric KD subjects compared to healthy controls (CTL) and patients with systemic hypertension (HTN). Methods: We evaluated AA (Fig. 1a) in 20 CTL, 12 KD subjects (4 with and 8 without CA aneurysms). 8 children with HTN represented a comparative clinical model of vascular stiffness. We measured systolic and diastolic AA strains using ImBioMark. Strain was tested for normality against height for CTL. Strain values from KD and HTN subjects were normalized (Z-score) according to height. Comparisons were performed between groups using non-parametric statistics. Results: Systolic and diastolic pressures were normal in KD subjects (49.8±28.4 and 46.1±6.9 percentile, respectively). Age was similar between KD (9.1±5.3 yo) and HTN (9.9±5.3 yo), p=NS. Fig. 1b exhibits a strain curve computed with ImBioMark. Systolic and diastolic strain values were normally distributed against height in CTL. HTN subjects had abnormal systolic and diastolic strain values. KD subjects had normal diastolic strain, but significantly abnormal systolic strain (Fig. 2). There was no statistically significant difference in strain, based on the presence or absence of CA aneurysm. Conclusion: Despite normal blood pressure, AA in KD exhibited reduced strain during systole. This may reflect in situ rigidity of the AA.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".