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Abstract 4367081: Electrocardiogram Abnormalities and Arrhythmias: Analysis of the NHLBI Study on Long-term Outcomes after the Multisystem Inflammatory Syndrome in Children (MUSIC)

2025· article· en· W4415790171 on OpenAlexaff
Audrey Dionne, Binu Sharma, Dongngan T. Truong, Katherine J. DeWeert, Marcos Mills, Michael A. Fremed, Sean M. Lang, Jyoti Patel, Tamara T. Bradford, Sanjeev Aggarwal, Joseph Block, Alejandro Borquez, Christine Capone, Laura D’Addese, Matthew D. Elias, Roberto Gallotti, Camden L. Hebson, Lanier Jackson, Anita Krishnan, Jason Lu, Michael Luceri, B. McCrindle, Lerraughn Morgan, Todd Nowlen, Hoang Nguyen, Suchitra Rao, Michael D. Taylor, Hani Siddeek, Felicia Trachtenberg, Jane Newburger

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsSinus tachycardiaSinus bradycardiaMyocarditisPericardial effusionElectrocardiographyPremature atrial contractionVentricular tachycardiaTachycardiaMyopericarditisTroponin

Abstract

fetched live from OpenAlex

Background: Cardiac complications are common in the Multisystem Inflammatory Syndrome in Children (MIS-C); however, data on arrhythmias and other electrocardiogram (ECG) abnormalities are limited. Objective: To characterize the frequency of and risk factors for ECG abnormalities and arrhythmias in patients with MIS-C, and their associated outcomes. Methods: Secondary analysis of ECG and ambulatory monitor data from a 32-center cohort study of patients with MIS-C hospitalized between 03/2020 to 11/2021 with a follow-up period of 2 years. ECG and ambulatory monitor interpretation was performed at each participating site. Greater illness severity was defined as one or more of the following: vasoactive medications, cardiac dysfunction or elevated troponin, intubation or mechanical support. Results: From 1,204 patients in the MUSIC cohort, ECG data were available for 1,104 patients (92%). Overall, ECG was abnormal in 864 (78%) of patients (Figure), most frequently sinus tachycardia (37%), ST-T waves anomalies (30%), prolonged QTc interval (23%), sinus bradycardia (16%), and left ventricular hypertrophy (14%). Arrhythmias were reported in 71/952 (7%) patients with myocarditis and included atrioventricular block (AVB, n=22; 1 st degree in 14, Mobitz 1 in 1, Mobitz 2 or higher in 7), ventricular tachycardia (n=8), supraventricular tachycardia (n=5), junctional tachycardia (n=5) and isolated ectopy (n=5 atrial, n=6 ventricular). Risk factors for ECG abnormalities included older age, White or Hispanic/Latino ethnicity, elevated troponin, myocarditis or cardiac dysfunction, and pericarditis or pericardial effusion (Table). Risk factors for arrhythmias included older age, obesity, elevated troponin and myocarditis or cardiac dysfunction (Table). Patients with arrhythmias and other ECG abnormalities were more likely to have greater illness severity and prolonged length of stay. Ambulatory rhythm monitoring was performed in 156 patients (13%) at median 64 [IQR 22, 164] days after hospital discharge, with normal results in 140 (88%) patients. The most frequent abnormalities were AVB (n=8, 5%) and isolated ectopy (>100 beats/24 hours; n=6, 4%) , with no high-grade AVB or tachyarrhythmias identified. Conclusion: ECG anomalies are frequent in MIS-C and associated with myocarditis, greater illness severity and prolonged hospital length of stay. Arrhythmias and other ECG abnormalities mostly occurred during acute hospitalization, and were very uncommon during outpatient 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)0.001
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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