Literature DB >> 26275983

The spatial QRS-T angle outperforms the Italian and Seattle ECG-based criteria for detection of hypertrophic cardiomyopathy in pediatric patients.

Daniel Cortez1, Nandita Sharma2, Jean Cavanaugh1, Froilan Tuozo3, Gwendolyn Derk4, Emily Lundberg5, Todd T Schlegel6, Keith Weiner7, Nafiz Kiciman3, Juan Alejos5, Bruce Landeck1, Jamil Aboulhosn5, Shelley Miyamoto1, Anjan Batra3, Anthony C McCanta7.   

Abstract

INTRODUCTION: The spatial peaks QRS-T angle has been shown to differentiate adult patients with hypertrophic cardiomyopathy (HCM) from controls. We hypothesized that the spatial peaks QRS-T angle would, in isolation, be more accurate than the Italian 12-lead ECG Pre-participation Screening criteria or the Seattle criteria for detecting hypertrophic cardiomyopathy (HCM) in pediatric patients.
METHODS: A retrospective study of pediatric patients with HCM compared to age and gender-matched control patients was undertaken. Significance, odds ratios, sensitivity and specificity of HCM detection of the visually derived spatial peaks QRS-T angle were compared to those of traditional 12-lead ECG criteria using: 1) Italy's National Pre-participation Screening Programme criteria; and 2) described criteria from Seattle.
RESULTS: ECG results from 130 pediatric HCM patients (14.2±4.4years) were compared to 470 control patients (normal echocardiograms, mean age 13.4±4.6years). Mean±standard deviation (SD) values for spatial peaks QRS-T angles were 120.4±40.7 and 21.3±13.7 degrees for HCM and controls, respectively (P<0.001). A spatial peaks QRS-T angle cutoff value of >54.9 degrees yielded greater sensitivity and specificity (93.1% and 98.7%, respectively) for detecting HCM over ECG criteria from Italy (68.5% and 48.1%, respectively) or Seattle (64.6% and 78.9%, respectively) with odds ratios at 1039.70 (95% CI 363.03 to 2977.67), 2.01 (95% CI 1.33 to 3.04) and 6.84 (4.49-10.44), respectively.
CONCLUSION: In our cohort, a visually derived spatial peaks QRS-T angle has increased sensitivity and specificity for detection of HCM in pediatric patients compared to currently utilized Italian or Seattle ECG criteria.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Italian criteria; Screening; Seattle criteria; Vectorcardiography

Mesh:

Year:  2015        PMID: 26275983     DOI: 10.1016/j.jelectrocard.2015.07.016

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  6 in total

1.  Repolarization Vector Magnitude Differentiates Kawasaki Disease from Normal Children.

Authors:  Daniel Cortez; Sonali S Patel; Nandita Sharma; Bruce F Landeck; Anthony C McCanta; Pei-Ni Jone
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-01-18       Impact factor: 1.468

2.  Clinical Application of the QRS-T Angle for the Prediction of Ventricular Arrhythmias in Patients with the Fontan Palliation.

Authors:  Tuong-Vi Tran; Daniel Cortez
Journal:  Pediatr Cardiol       Date:  2017-04-29       Impact factor: 1.655

3.  Atrioventricular depolarization differences identify coronary artery anomalies in Kawasaki disease.

Authors:  Daniel Cortez; Nandita Sharma; Pei-Ni Jone
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-09-28       Impact factor: 1.468

4.  ECG-derived spatial QRS-T angle is associated with ICD implantation, mortality and heart failure admissions in patients with LV systolic dysfunction.

Authors:  Sarah Gleeson; Yi-Wen Liao; Clementina Dugo; Andrew Cave; Lifeng Zhou; Zina Ayar; Jonathan Christiansen; Tony Scott; Liane Dawson; Andrew Gavin; Todd T Schlegel; Patrick Gladding
Journal:  PLoS One       Date:  2017-03-30       Impact factor: 3.240

5.  QRS-T angle in patients with Hypertrophic Cardiomyopathy - A comparison with Cardiac Magnetic Resonance Imaging.

Authors:  Christoph Julian Jensen; Moritz Lambers; Behnam Zadeh; Jan Martin Wambach; Kai Nassenstein; Oliver Bruder
Journal:  Int J Med Sci       Date:  2021-01-01       Impact factor: 3.738

Review 6.  Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease.

Authors:  Jaroslav Vondrak; Marek Penhaker
Journal:  Front Physiol       Date:  2022-03-21       Impact factor: 4.755

  6 in total

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