Abstract O.37: Coronary Artery Dilatation in Viral Myocarditis Mimics Coronary Artery Findings In Kawasaki Disease
Bibliographic record
Abstract
Background: Coronary artery dilatations are almost always secondary to Kawasaki disease in the pediatric population. The presence of CA involvement is used as a criterion to diagnose incomplete KD disease, which may be challenging. It has been recently demonstrated that febrile patients had larger CA size than non-febrile children in a pilot study. As there is almost always a myocarditis in the acute phase of KD disease we sought to investigate whether viral myocarditis may cause CA dilatations. Method: This retrospective study reviewed 14 consecutive patients with a diagnosis of viral myocarditis at Saint-Justine Hospital, Montreal, from April 2000 trough December 2010. Kawasaki disease was excluded in all patients. All echocardiogram studies were reviewed by an independent experienced technician for CA size and function parameters. Patients were classified in three categories: definite CA dilatation (Z-score ≥ 2.5 in one or more CA), occult CA dilatation (Z score variation ≥ 2 for the same CA on 2 different echogrardiograms, but absolute Z score always < 2.5) and normal coronary artery. Demographics, laboratory values, microbial etiology testing, diagnostic studies were also collected. Results: Mean age at presentation was 1.67 ± 3.22 years, the majority < 2 years old, and 11 (78%) were girls. Of the 14 patients 8 (57.1%) had normal CA, 3 (21.4%) had occult CA dilatation and 3 (21.4%) had definite CA dilatation. When present, CA dilatation was detected within the first 8 days of presentation. Eleven (78%) patients presented with acute onset features and the remaining 3 presented with subacute characteristics. There was no correlation between CA involvement and the intensity of LV dysfunction however (p = 0.84). Conclusion: Patients with viral myocarditis can present CA dilatation during the acute phase of the illness. This finding should be taken into account when diagnosing patients with incomplete KD on the basis of the CA involvement as the two illnesses may present with similar features.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".