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International recommendations for electrocardiographic interpretation in athletes

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Sharma, Sanjay, Drezner, Jonathan A, Baggish, Aaron, Papadakis, Michael, Wilson, Mathew G, Prutkin, Jordan M, La Gerche, Andre, Ackerman, Michael J, Borjesson, Mats, Salerno, Jack C, Asif, Irfan M, Owens, David S, Chung, Eugene H, Emery, Michael S, Froelicher, Victor F, Heidbuchel, Hein, Adamuz, Carmen, Asplund, Chad A, Cohen, Gordon, Harmon, Kimberly G, Marek, Joseph C, Molossi, Silvana, Niebauer, Josef, Pelto, Hank F, Perez, Marco V, Riding, Nathan R, Saarel, Tess, Schmied, Christian M, Shipon, David M, Stein, Ricardo, Vetter, Victoria L, Pelliccia, Antonio, Corrado, Domenico·2018·European Heart Journal
DOI 10.1093/eurheartj/ehw631
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Abstract

Sudden cardiac death (SCD) is the leading cause of mortality in athletes during sport.A variety of mostly hereditary, structural, or electrical cardiac disorders are associated with SCD in young athletes, the majority of which can be identified or suggested by abnormalities on a resting 12-lead electrocardiogram (ECG).Whether used for diagnostic or screening purposes, physicians responsible for the cardiovascular care of athletes should be knowledgeable and competent in ECG interpretation in athletes.However, in most countries a shortage of physician expertise limits wider application of the ECG in the care of the athlete.A critical need exists for physician education in modern ECG interpretation that distinguishes normal physiological adaptations in athletes from distinctly abnormal findings suggestive of underlying pathology.Since the original 2010 European Society of Cardiology recommendations for ECG interpretation in athletes, ECG standards have evolved quickly over the last decade; pushed by a growing body of scientific data that both tests proposed criteria sets and establishes new evidence to guide refinements.On 26-27 February 2015, an international group of experts in sports cardiology, inherited cardiac disease, and sports medicine convened in Seattle, Washington, to update contemporary standards for ECG interpretation in athletes.The objective of the meeting was to define and revise ECG interpretation standards based on new and emerging research and to develop a clear guide to the proper evaluation of ECG abnormalities in athletes.This statement represents an international consensus for ECG interpretation in athletes and provides expert opinion-based recommendations linking specific ECG abnormalities and the secondary evaluation for conditions associated with SCD...............

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Metadata

Authors
Sharma, S., Drezner, J. A., Baggish, A., Papadakis, M., Wilson, M. G., Prutkin, J. M., La Gerche, A., Ackerman, M. J., Borjesson, M., Salerno, J. C., Asif, I. M., Owens, D. S., Chung, E. H., Emery, M. S., Froelicher, V. F., Heidbuchel, H., Adamuz, C., Asplund, C. A., Cohen, G., Harmon, K. G., Marek, J. C., Molossi, S., Niebauer, J., Pelto, H. F., Perez, M. V., Riding, N. R., Saarel, T., Schmied, C. M., Shipon, D. M., Stein, R., Vetter, V. L., Pelliccia, A., & Corrado, D.
Venue
European Heart Journal
Publisher
Oxford University Press (OUP)
Published
2017-02-20
Volume
39
Issue
16
Pages
1466-1480
ISSN
  • 0195-668X (ISSN-L)
  • 1522-9645
DOI
10.1093/eurheartj/ehw631
OpenAlex
W4255063816
Cited by
424
References
6
FWCI
14.94
Type
journal article
Language
en
Open access
bronze
Licence
academic.oup.com/journals/pages/about_us/legal/notices (vor, 1 d)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.