Abstract 16062: Acute Myocarditis and Pericarditis in Post-Acute Sequelae of COVID-19: Initial Insights From the IMPACT-COVID-19 Study
Bibliographic record
Abstract
Introduction: Myocarditis and/or pericarditis were reported in patients with Post-Acute Sequelae of COVID-19 (PASC). Goals: We aim to determine the prevalences, risk factors, and discriminative values of inflammatory biomarkers for acute myocarditis/pericarditis in patients with PASC. Methods: IMPACT-COVID-19 is an ongoing prospective longitudinal cohort enrolling adults with PASC and at least one symptom suggestive of potential cardiac disorder (dyspnea, palpitation, chest pain and dizziness) in Quebec, Canada (years 2021-ongoing). We obtained baseline inflammatory, cardiac biomarkers, electrocardiograms, echocardiograms, and cardiac magnetic resonance imaging (CMR). We defined myocarditis/pericarditis as either 1) positive Lake Louise criteria on CMR, 2) pericardial effusion or 3) chest pain with elevated cardiac biomarkers or inflammatory biomarkers. Results: The following results were based on the initial 256 patients enrolled (with a median of 279 days after their initial COVID-19 infection). Most were female (73%), and White (86%) with a mean age of 45 years. Seventy-six patients (30%) had acute myocarditis and/or pericarditis. One hundred and three patients (40%) had an emergency room (ER) visit for the index COVID infection and this was associated with an increased risk of myocarditis/ pericarditis: (odds ratio: 2.39 (95% confidence intervals: 1.21, 4.72). The ESR was elevated in patients with myocarditis/pericarditis compared to patients without myocarditis/pericarditis (18 mm/h vs 12 mm/h; p:0.02). There was no observed difference in CRP (1.85 mg/L for patients with myocarditis/pericarditis versus 1.54 mg/L for patients without myocarditis/pericarditis, p:0.51). ROC c-statistics were 0.61 for ESR and 0.49 for CRP. An ESR of ≥14 mm/h has the best predictive value for myo/pericarditis. Conclusions: Our findings suggest that clinicians should be aware that patients with PASC, especially those who required an ER visit for their COVID-19 infection, are at increased risk for acute myocarditis/pericarditis. ESR should also be considered in the diagnostic tests for PASC-related myocarditis/pericarditis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".