INTRODUCTION: Twelve-lead electrocardiogram (ECG) is used to screen for hypertrophic cardiomyopathy (HCM), but up to 25% of HCM patients do not have distinctly abnormal ECGs, whereas up to 5% to 15% of healthy athletes do. We hypothesized that an approximately 5-minute resting advanced 12-lead ECG test ("A-ECG score") could detect HCM with greater sensitivity than pooled conventional ECG criteria and distinguish healthy athletes from HCM with greater specificity. MATERIALS AND METHODS: Five-minute 12-lead ECGs were obtained from 56 HCM patients, 56 age/sex-matched healthy controls, and 69 younger endurance-trained athletes. Electrocardiograms were analyzed using recently suggested pooled conventional ECG criteria and also A-ECG scoring techniques that considered results from multiple advanced and conventional ECG parameters. RESULTS: Compared with pooled criteria from the strictly conventional ECG, an A-ECG logistic score incorporating results from just 3 advanced ECG parameters (spatial QRS-T angle, unexplained portion of QT variability, and T-wave principal component analysis ratio) increased the sensitivity of ECG for identifying HCM from 89% (78%-96%) to 98% (89%-100%; P = .025), while increasing specificity from 90% (83%-94%) to 95% (92%-99%; P = .020). CONCLUSIONS: Resting 12-lead A-ECG scores that are simultaneously more sensitive than pooled conventional ECG criteria for detecting HCM and more specific for distinguishing healthy athletes and other healthy controls from HCM can be constructed. Pending further prospective validation, such scores may lead to improved ECG-based screening for HCM. Published by Elsevier Inc.
INTRODUCTION: Twelve-lead electrocardiogram (ECG) is used to screen for hypertrophic cardiomyopathy (HCM), but up to 25% of HCM patients do not have distinctly abnormal ECGs, whereas up to 5% to 15% of healthy athletes do. We hypothesized that an approximately 5-minute resting advanced 12-lead ECG test ("A-ECG score") could detect HCM with greater sensitivity than pooled conventional ECG criteria and distinguish healthy athletes from HCM with greater specificity. MATERIALS AND METHODS: Five-minute 12-lead ECGs were obtained from 56 HCM patients, 56 age/sex-matched healthy controls, and 69 younger endurance-trained athletes. Electrocardiograms were analyzed using recently suggested pooled conventional ECG criteria and also A-ECG scoring techniques that considered results from multiple advanced and conventional ECG parameters. RESULTS: Compared with pooled criteria from the strictly conventional ECG, an A-ECG logistic score incorporating results from just 3 advanced ECG parameters (spatial QRS-T angle, unexplained portion of QT variability, and T-wave principal component analysis ratio) increased the sensitivity of ECG for identifying HCM from 89% (78%-96%) to 98% (89%-100%; P = .025), while increasing specificity from 90% (83%-94%) to 95% (92%-99%; P = .020). CONCLUSIONS: Resting 12-lead A-ECG scores that are simultaneously more sensitive than pooled conventional ECG criteria for detecting HCM and more specific for distinguishing healthy athletes and other healthy controls from HCM can be constructed. Pending further prospective validation, such scores may lead to improved ECG-based screening for HCM. Published by Elsevier Inc.
Authors: Angie Mae Rodday; John K Triedman; Mark E Alexander; Joshua T Cohen; Stanley Ip; Jane W Newburger; Susan K Parsons; Thomas A Trikalinos; John B Wong; Laurel K Leslie Journal: Pediatrics Date: 2012-03-05 Impact factor: 7.124
Authors: Mathias Baumert; Alberto Porta; Marc A Vos; Marek Malik; Jean-Philippe Couderc; Pablo Laguna; Gianfranco Piccirillo; Godfrey L Smith; Larisa G Tereshchenko; Paul G A Volders Journal: Europace Date: 2016-01-27 Impact factor: 5.214
Authors: Patrick A Gladding; Andrew Cave; Mehran Zareian; Kevin Smith; Jagir Hussan; Peter Hunter; Folarin Erogbogbo; Zoraida Aguilar; David S Martin; Eugene Chan; Margie L Homer; Abhijit V Shevade; Mohammad Kassemi; James D Thomas; Todd T Schlegel Journal: J Pers Med Date: 2013-08-21