Myopericarditis following both BNT162b2 and NVX-CoV2373
Bibliographic record
Abstract
BACKGROUND: Myopericarditis is a well reported complication associated with SARS-Cov-2 (COVID-19) infection and vaccinations; particularly with mRNA vaccines (BNT162b2 and mRNA-1273), and in the young male population. The risk-to-benefit ratio in sequential vaccination dosing in young males is further clouded in the era of the omicron variant with its reported enhanced immune escape. STUDY DESIGN: A case series of two cases of post vaccination myopericarditis following the NVX-CoV2373 after also developing myopericarditis with BNT162b2. CONCLUSION: To our knowledge, we are the first to describe post vaccination myopericarditis following NVX-CoV2373 after also developing myopericarditis with BNT162b2. The similarities in presentation between the reactions of both platforms would suggest a similar pathogenesis, although the exact mechanism remains unknown. Further studies are necessary to identify these mechanisms, as well as to identify biomarkers that may identify vulnerable populations. On-going vigilance is necessary to identify those who may be at an increased risk of post-COVID vaccine myopericarditis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".