Results From the Big Ten COVID-19 Cardiac Registry: Impact of SARS-COV-2 on Myocardial Involvement.


Journal

Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine
ISSN: 1536-3724
Titre abrégé: Clin J Sport Med
Pays: United States
ID NLM: 9103300

Informations de publication

Date de publication:
09 Jul 2024
Historique:
received: 10 01 2024
accepted: 03 06 2024
medline: 8 7 2024
pubmed: 8 7 2024
entrez: 8 7 2024
Statut: aheadofprint

Résumé

COVID-19 has been associated with myocardial involvement in collegiate athletes. The first report from the Big Ten COVID-19 Cardiac Registry (Registry) was an ecological study that reported myocarditis in 37 of 1597 athletes (2.3%) based on local clinical diagnosis. Our objective was to assess the relationship between athlete and clinical characteristics and myocardial involvement. Cross-sectional study. We analyzed data from 1218 COVID-19 positive Big Ten collegiate athletes who provided informed consent to participate in the Registry. 1218 athletes with a COVID-19-positive PCR test before June 1, 2021. Demographic and clinical characteristics of athletes were obtained from the medical record. Myocardial involvement was diagnosed based on local clinical, cardiac magnetic resonance (CMR), electrocardiography, troponin assay, and echocardiography. We assessed the association of clinical factors with myocardial involvement using logistic regression and estimated the area under the receiver operating characteristic (ROC) curve. 25 of 1218 (2.0%) athletes met criteria for myocardial involvement. The logistic regression model used to predict myocardial involvement contained indicator variables for chest pain, new exercise intolerance, abnormal echocardiogram (echo), and abnormal troponin. The area under the ROC curve for these indicators was 0.714. The presence of any of these 4 factors in a collegiate athlete who tested positive for COVID-19 would capture 55.6% of cases. Among noncases without missing data, 86.9% would not be flagged for possible myocardial involvement. Myocardial involvement was infrequent. We predicted case status with good specificity but deficient sensitivity. A diagnostic approach for myocardial involvement based exclusively on symptoms would be less sensitive than one based on symptoms, echo, and troponin level evaluations. Abnormality of any of these evaluations would be an indication for CMR.

Identifiants

pubmed: 38975888
doi: 10.1097/JSM.0000000000001247
pii: 00042752-990000000-00206
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

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Auteurs

Jennifer S Albrecht (JS)

Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.

Joel T Greenshields (JT)

Canadian Sport Institute Ontario, Toronto, Canada.

Suzanne Smart (S)

Division of Cardiology, Department of Internal Medicine, Ohio State University, Columbus, OH.

Ian H Law (IH)

University of Iowa Stead Family Children's Hospital, Iowa City, IA.

Larry R Rink (LR)

Indiana University School of Medicine, Bloomington, IN.

Curt J Daniels (CJ)

Division of Cardiology, Department of Internal Medicine, Ohio State University, Columbus, OH.

Saurabh Rajpal (S)

Division of Cardiology, Department of Internal Medicine, Ohio State University, Columbus, OH.

Eugene H Chung (EH)

Massachusetts General Hospital, Harvard Medical School, Boston, MA.

Jean Jeudy (J)

Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD.

Richard Kovacs (R)

Indiana University Schol of Medicine, Indianapolis, IN.

Jason Womack (J)

Department of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.

Carrie Esopenko (C)

Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY.

Philip Bosha (P)

Department of Orthopaedics and Rehabilitation, Pennsylvania State University, State College, PA; and.

Michael Terrin (M)

Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.

Geoffrey L Rosenthal (GL)

University of Virginia, Charlottesville, VA.

Classifications MeSH