Abstract 188: Carotid Artery Strain in Young Adults with a History of Kawasaki Disease
Bibliographic record
Abstract
Background: Measuring carotid strain is a noninvasive way to assess the mechanical properties of the arterial wall. Whether there is an association between carotid strain and coronary artery status after Kawasaki disease (KD) is unknown. Methods: We enrolled 82 young adults, ages 15 to 30 yrs, with a history of KD (58% male), as well as 16 healthy controls (HC) of similar age (56% male). Carotid wall strain was measured from cine loops of common carotid artery B-mode ultrasound data using an offline optical flow analysis algorithm. Strain was normalized for age (Z-score) using a regression equation derived from a separate series of healthy young adults. Subjects were categorized based on their worst coronary artery status (normal, transiently dilated, aneurysm). Results: The mean age of KD subjects and HC at the time of carotid measurements was 25 ± 8 and 28 ± 8 years, respectively (p=0.30). Mean time since onset of KD was 20 ± 8 yrs. KD subjects with transiently dilated coronary arteries had significantly higher carotid strain compared to those with normal coronaries (p=0.002) and to HC (p=0.01) (Figure); those with CAA had a nonsignificant trend toward lower carotid strain compared to other groups. KD subjects with normal coronaries had carotid strain similar to HC. Conclusion: Young adults with a history of KD with normal coronary arteries also have normal carotid artery strain. Individuals with a history of transiently dilated coronary arteries had a paradoxical trend toward higher carotid strain. Thus, KD patients whose dilated coronary arteries return to normal may have healthier vasculature compared to other KD patients. The significance of this finding merits further study.
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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) | 0.002 | 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".