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Record W4392854093 · doi:10.1016/j.jocmr.2024.101036

Cardiovascular magnetic resonance imaging and clinical follow-up in patients with clinically suspected myocarditis after COVID-19 vaccination

2024· article· en· W4392854093 on OpenAlexaff
Norain Talib, Matteo Fronza, Constantin Marschner, Paaladinesh Thavendiranathan, Gauri Rani Karur, Kate Hanneman

Bibliographic record

VenueJournal of Cardiovascular Magnetic Resonance · 2024
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsToronto General HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicineMyocarditisAngiologyMagnetic resonance imagingInternal medicineVaccinationEjection fractionCoronavirus disease 2019 (COVID-19)Cardiac magnetic resonance imagingConfidence intervalCardiologyRadiologyHeart failurePathology

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to evaluate cardiovascular magnetic resonance (CMR) findings and their relationship to longer-term clinical outcomes in patients with suspected myocarditis following coronavirus disease 2019 (COVID-19) vaccination. METHODS: Consecutive adult patients who underwent clinically indicated CMR for evaluation of suspected myocarditis following messenger ribonucleic acid (mRNA)-based COVID-19 vaccination at a single center between 2021 and 2022 were retrospectively evaluated. Patients were classified based on the revised Lake Louise criteria for T1-based abnormalities (late gadolinium enhancement [LGE] or high T1 values) and T2-based abnormalities (regional T2-hyperintensity or high T2 values). RESULTS: Eighty-nine patients were included (64% [57/89] male, mean age 34 ± 13 years, 38% [32/89] mRNA-1273, and 62% [52/89] BNT162b2). On baseline CMR, 42 (47%) had at least one abnormality; 25 (28%) met both T1- and T2-criteria; 17 (19%) met T1-criteria but not T2-criteria; and 47 (53%) did not meet either. The interval between vaccination and CMR was shorter in those who met T1- and T2-criteria (28 days, IQR 8-69) compared to those who met T1-criteria only (110 days, IQR 66-255, p < 0.001) and those who did not meet either (120 days, interquartile range (IQR) 80-252, p < 0.001). In the subset of 21 patients who met both T1- and T2-criteria at baseline and had follow-up CMR, myocardial edema had resolved and left ventricular ejection fraction had normalized in all at median imaging follow-up of 214 days (IQR 132-304). However, minimal LGE persisted in 10 (48%). At median clinical follow-up of 232 days (IQR 156-405, n = 60), there were no adverse cardiac events. However, mild cardiac symptoms persisted in 7 (12%). CONCLUSION: In a cohort of patients who underwent clinically indicated CMR for suspected myocarditis following COVID-19 vaccination, 47% had at least one abnormality at baseline CMR. Detection of myocardial edema was associated with the timing of CMR after vaccination. There were no adverse cardiac events. However, minimal LGE persisted in 48% at follow-up.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.306
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2024
Admission routes1
Has abstractyes

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