Abstract O.66: Exercise Response in Children and Adolescents Late After Kawasaki Disease According to Early Coronary Status
Bibliographic record
Abstract
Background: Cardiovascular sequelae after Kawasaki disease (KD) are typically linked to coronary artery aneurysms. This post-hoc analysis describes response to exercise challenge late after KD to determine response according to coronary artery status. Methods: Bruce treadmill testing was performed under an international trail in 117 KD without coronary complications (NS-KD) and 133 with coronary artery aneurysm (CAA-KD). Endurance time, heart rate, systolic and diastolic blood pressure were assessed at rest, at each treadmill stage, peak exercise and recovery. The presence of myocardial perfusion defects was assessed by Tc-99m sestamibi SPECT imaging. Results: Endurance time was similar between groups (11.3 ± 2.6 min vs11.0 ± 2.6 min, NS-KD vs CAA-KD; p=0.343). There were similar responses in all investigated parameters as well (table 1) (p=0.075-0.942). The prevalence of myocardial perfusion defects was comparable in both groups (22.2% in NS-KD and 16.5% in CAA-KD; p=0.255), but predicted lower heart rate at 1-min recovery as well as lower diastolic blood pressure at 1-min and 5-min recovery in patients with abnormal Summed Stress Score > 3 (p = 0.017-0.042).; reversible defects in 12.8% of NS-KD and 11.3% of CAA-KD (p=0.708). Conclusion: Compared to KD patients without CA involvement, the presence of coronary aneurysms at the sub-acute phase does not induce a differential effect on exercise parameters. In contrast, exercise induced myocardial perfusion defect late after the onset of KD correlates with abnormal recovery parameters. These data suggest that the exercise performance alone is unlikely to discriminate patients with or without coronary artery sequelae.
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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 | 0.000 | 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".