{"title":"Overlap ECG patterns in the athlete’s heart and cardiomyopathies","authors":"H. Dhutia, M. Papadakis","doi":"10.1093/MED/9780198779742.003.0009","DOIUrl":null,"url":null,"abstract":"Physiological adaptation to exercise manifests on the surface ECG with phenotypes that occasionally overlap with those present in patients with cardiomyopathy, one of the leading causes of exercise-related cardiac death in young athletes. In the era of pre-participation screening, differentiation of physiology from pathology is crucial given the potential consequences of an erroneous diagnosis or false reassurance. This chapter provides a comprehensive overview of the ECG anomalies that may cause diagnostic dilemmas in clinical practice, delineates the size of the ‘ECG grey zones’, and provides practical algorithms for ascertaining which ECG phenotypes require further evaluation.","PeriodicalId":143273,"journal":{"name":"The ESC Textbook of Sports Cardiology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The ESC Textbook of Sports Cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/MED/9780198779742.003.0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Physiological adaptation to exercise manifests on the surface ECG with phenotypes that occasionally overlap with those present in patients with cardiomyopathy, one of the leading causes of exercise-related cardiac death in young athletes. In the era of pre-participation screening, differentiation of physiology from pathology is crucial given the potential consequences of an erroneous diagnosis or false reassurance. This chapter provides a comprehensive overview of the ECG anomalies that may cause diagnostic dilemmas in clinical practice, delineates the size of the ‘ECG grey zones’, and provides practical algorithms for ascertaining which ECG phenotypes require further evaluation.