Transient Myopericarditis Following Vaccination for COVID-19
Bibliographic record
Abstract
Clinical trials of the messenger ribonucleic acid (mRNA)-1273 vaccine developed by Moderna proved excellent safety and efficacy for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) prevention. However, the Centers for Disease Control and Prevention (CDC) has been investigating cases of myocarditis and pericarditis reported in the Vaccine Adverse Event Reporting System (VAERS) database. Currently, the CDC is reporting rates of 40.6 cases per million after second doses of mRNA vaccines administered to males 30 years or younger. Notably, the initial vaccine trials consisted of a limited number of adolescents and young adults; therefore, they were likely not powered to detect this rare potential side effect. We present a case of transient myopericarditis occurring in a young and healthy patient within 48 h of his second vaccination dose. Although a definitive causal relationship has yet to be determined, we came to this correlation because of the temporal association seen in our patient, secondary to the second dose of vaccination. Furthermore, we also suspect an autoimmune mechanism as the cause of cardiac injury, augmented by the increased vaccine reactogenicity seen in younger 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".