Abstract 11816: Association of Increased Adiposity and Presentation and Outcomes for Kawasaki Disease versus Multisystem Inflammatory Syndrome in Children Associated With Covid-19
Bibliographic record
Abstract
Introduction: Obesity is a pro-inflammatory state and may influence presentation and outcomes of both Kawasaki disease (KD) and Multisystem Inflammatory Syndrome in Children (MIS-C) associated with COVID-19. Methods: From January 2020 to January 2022, n=2566 contemporaneous KD, MIS-C and acute COVID-19 pediatric patients from 39 sites in 8 countries were enrolled into the International KD Registry. The study population was confined to 1077 MIS-C patients meeting CDC criteria with confirmed or probable COVID-19 infection, and 657 KD patients meeting AHA guideline criteria without COVID-19 infection who had body mass index (BMI) recorded at presentation. BMI was converted to Z scores using WHO formulas for age and sex, and associated factors were sought using general linear regression modeling. Results: Mean zBMI was higher for MIS-C (+0.58) vs KD patients (-0.06; p<0.001), and MIS-C patients were more likely to be overweight (BMI 85 th -<95 th %ile; 18% vs 11%), obese (95 th -<99 th %ile; 14% vs 6%) or morbidly obese ( > 99 th %ile; 8% vs 2%; p<0.001). MIS-C patients were significantly more likely to present with shock, and had higher peak troponin I and NTproBNP, with no association or interaction with adiposity. Higher adiposity was significantly associated with higher peak white cell count for MIS-C but not KD. Higher peak CRP for MIS-C and higher peak ESR for KD were not associated with adiposity. Higher peak creatinine was associated higher adiposity, more so for MIS-C. Both higher adiposity and MIS-C were significantly associated with lower LV ejection fraction, although there was no significant interaction (Figure A). Higher maximum coronary artery Z score was associated with KD but not with adiposity, with no significant interaction (Figure B). Conclusions: MIS-C patients have higher levels of adiposity than KD patients. Higher adiposity is associated with greater renal dysfunction in the setting of MIS-C, and greater cardiac dysfunction in both MIS-C and KD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".