Midterm comprehensive cardiovascular assessment of patients with Kawasaki disease
Bibliographic record
Abstract
BACKGROUND: Kawasaki disease (KD) causes coronary artery aneurysms (CAA), which require healthy lifestyle prevention. METHODS: We conducted a cross-sectional study examining anthropometric measurements, biochemical data, nutrient intake, and physical activity profile in a cohort of KD patients with CAA (KD-A) or without CAA (KD-N). Age-adjusted anthropometric measurements, biochemical markers from blood tests, 3-month food frequency, and standardized physical activity habits were collected 5-10 years after KD. RESULTS: This included 9 KD-A patients, 39 KD-N patients, and 27 controls (CTL). The prevalence of overweight or obesity was significantly higher in KD-A patients compared to KD-N and to CTL (respectively 33.3% and 22.2%, versus 15.5% and 20.5%, compared to 7.0% and 7.0% in CTL; p = 0.002). KD-A patients had higher CRP compared to KD-N (1.34 ± 1.29 mg/L vs. 0.65 ± 0.91 mg/L; p = 0.047), compared to CTL (0.68 ± 1.11 mg/L). KD-A and KD-N, respectively, consume an excess of total lipids in 22% and 42%, an excess of saturated fatty acids in 67% and 84%, and an excess of total sugars in 67% and 61%. KD-A spend less than 30 min a day doing physical activity compared to KD-N in 62% and 22%, respectively, and only 13% of KD-A but 45% of KD-N spend more than 60 min a day on physical activity. CONCLUSION: A deviation from a healthy lifestyle is present in KD patients 5-10 years following their diagnosis and treatment, making them susceptible to developing significant cardiac complications. Hence, the importance of implementing healthy lifestyle guidelines, adapting those to the socioeconomic context, with specific recommendations regarding the cardiovascular risks of these young patients.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".