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Cardiology

Screening Athletes for Myocarditis With Cardiac Magnetic Resonance Imaging After COVID-19 Infection—Lessons From an English Philosopher

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To identify the key insights or developments described in this article

1 Credit CME

JAMA Cardiology

Published Online: January 14, 2021

Invited Commentary

Article Information and Disclosures

Jonathan H. Kim, MD, MSc¹

Author Affiliations

¹Division of Cardiology, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, Georgia

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In 1763, Bayes theorem (“An Essay Towards Solving a Problem in the Doctrine of Chances”), one of the most fundamental principles in probability theory, was published in Philosophical Transactions of the Royal Society.¹ In a twist of fate, Thomas Bayes had died 2 years prior to the publication of his lasting legacy, which still resonates throughout modern clinical medicine. Bayes theorem is based on conditional probability, or the probability of an event occurring based on other conditions associated with the event in question.¹ Today, bayesian philosophy and consideration of pretest probability remains embedded in the determination of best practices for clinical screening and risk stratification.

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Article Information

Corresponding Author: Jonathan H. Kim, MD, MSc, Division of Cardiology, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, 1462 Clifton Road NE, Ste 502, Atlanta, GA 30322 (jonathan.kim@emory.edu).

Published Online: January 14, 2021. doi:10.1001/jamacardio.2020.7463

Conflict of Interest Disclosures: Dr Kim discloses research funding for the study of competitive athletes from the National Institute of Health/National Heart, Lung, and Blood Institute. He receives compensation for his role as team cardiologist from the Atlanta Falcons and received research stipends from the Atlanta Track Club.

References

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Ferreira VM , Schulz-Menger J , Holmvang G , et al. Cardiovascular magnetic resonance in nonischemic myocardial inflammation: expert recommendations. J Am Coll Cardiol. 2018;72(24):3158-3176. doi:10.1016/j.jacc.2018.09.072 PubMed Google Scholar Crossref

Maron BJ , Udelson JE , Bonow RO , et al. Eligibility and disqualification recommendations for competitive athletes with cardiovascular abnormalities: task force 3, hypertrophic cardiomyopathy, arrhythmogenic right ventricular cardiomyopathy and other cardiomyopathies, and myocarditis: a scientific statement from the American Heart Association and American College of Cardiology. J Am Coll Cardiol. 2015;66(21):2362-2371. doi:10.1016/j.jacc.2015.09.035 PubMed Google Scholar Crossref

Mavrogeni S , Bratis C , Kitsiou A , et al. CMR assessment of myocarditis in patients with cardiac symptoms during H1N1 viral infection. JACC Cardiovasc Imaging. 2011;4(3):307-309. doi:10.1016/j.jcmg.2010.08.021 PubMed Google Scholar Crossref

Silver N . The Signal and the Noise; Why So Many Predictions Fail—But Some Don’t. Penguin Press; 2012.

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Credit Designation Statement: The American Medical Association designates this Journal-based CME activity activity for a maximum of 1.00  AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:

1.00 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program;;
1.00 Self-Assessment points in the American Board of Otolaryngology – Head and Neck Surgery’s (ABOHNS) Continuing Certification program;
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1.00 Lifelong Learning points in the American Board of Pathology’s (ABPath) Continuing Certification program; and
1.00 credit toward the CME of the American Board of Surgery’s Continuous Certification program

It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.