Literature DB >> 29930156

Electrocardiograms in Healthy North American Children in the Digital Age.

Elizabeth V Saarel1, Suzanne Granger2, Jonathan R Kaltman3, L LuAnn Minich4, Martin Tristani-Firouzi4, Jeffrey J Kim5, Kathleen Ash6, Sabrina S Tsao7, Charles I Berul8, Elizabeth A Stephenson9, David G Gamboa4, Felicia Trachtenberg2, Peter Fischbach10, Victoria L Vetter11, Richard J Czosek6, Tiffanie R Johnson12, Jack C Salerno13, Nicole B Cain14, Robert H Pass15, Ilana Zeltser16, Eric S Silver17, Joshua R Kovach18, Mark E Alexander19.   

Abstract

BACKGROUND: Interpretation of pediatric ECGs is limited by lack of accurate sex- and race-specific normal reference values obtained with modern technology for all ages. We sought to obtain contemporary digital ECG measurements in healthy children from North America, to evaluate the effects of sex and race, and to compare our results to commonly used published datasets.
METHODS: Digital ECGs (12-lead) were retrospectively collected for children ≤18 years old with normal echocardiograms at 19 centers in the Pediatric Heart Network. Patients were classified into 36 groups: 6 age, 2 sex, and 3 race (white, black, and other/mixed) categories. Standard intervals and amplitudes were measured; mean±SD and 2nd/98th percentiles were determined by age group, sex, and race. For each parameter, multivariable analysis, stratified by age, was conducted using sex and race as predictors. Parameters were compared with 2 large pediatric ECG data sets.
RESULTS: Among ECGs from 2400 children, significant differences were found by sex and race categories. The corrected QT interval in lead II was greater for girls compared with boys for age groups ≥3 years (P≤0.03) and for whites compared with blacks for age groups ≥12 years (P<0.05). The R wave amplitude in V6 was greater for boys compared with girls for age groups ≥12 years (P<0.001), for blacks compared with white or other race categories for age groups ≥3 years (P≤0.006), and greater compared with a commonly used public data set for age groups ≥12 years (P<0.0001).
CONCLUSIONS: In this large, diverse cohort of healthy children, most ECG intervals and amplitudes varied by sex and race. These differences have important implications for interpreting pediatric ECGs in the modern era when used for diagnosis or screening, including thresholds for left ventricular hypertrophy.
© 2018 American Heart Association, Inc.

Entities:  

Keywords:  electrocardiography; hypertrophy, left ventricular; pediatrics; reference value

Mesh:

Year:  2018        PMID: 29930156      PMCID: PMC6034977          DOI: 10.1161/CIRCEP.117.005808

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  22 in total

1.  Guidelines for electrocardiography. A report of the American College of Cardiology/American Heart Association Task Force on Assessment of Diagnostic and Therapeutic Cardiovascular Procedures (Committee on Electrocardiography).

Authors:  R C Schlant; R J Adolph; J P DiMarco; L S Dreifus; M I Dunn; C Fisch; A Garson; L J Haywood; H J Levine; J A Murray
Journal:  Circulation       Date:  1992-03       Impact factor: 29.690

Review 2.  The normal ECG in childhood and adolescence.

Authors:  David F Dickinson
Journal:  Heart       Date:  2005-12       Impact factor: 5.994

Review 3.  Recommendations for the standardization and interpretation of the electrocardiogram: part I: The electrocardiogram and its technology: a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society: endorsed by the International Society for Computerized Electrocardiology.

Authors:  Paul Kligfield; Leonard S Gettes; James J Bailey; Rory Childers; Barbara J Deal; E William Hancock; Gerard van Herpen; Jan A Kors; Peter Macfarlane; David M Mirvis; Olle Pahlm; Pentti Rautaharju; Galen S Wagner; Mark Josephson; Jay W Mason; Peter Okin; Borys Surawicz; Hein Wellens
Journal:  Circulation       Date:  2007-02-23       Impact factor: 29.690

Review 4.  AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram: part IV: the ST segment, T and U waves, and the QT interval: a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society. Endorsed by the International Society for Computerized Electrocardiology.

Authors:  Pentti M Rautaharju; Borys Surawicz; Leonard S Gettes; James J Bailey; Rory Childers; Barbara J Deal; Anton Gorgels; E William Hancock; Mark Josephson; Paul Kligfield; Jan A Kors; Peter Macfarlane; Jay W Mason; David M Mirvis; Peter Okin; Olle Pahlm; Gerard van Herpen; Galen S Wagner; Hein Wellens
Journal:  J Am Coll Cardiol       Date:  2009-03-17       Impact factor: 24.094

5.  Comparison of automated measurements of electrocardiographic intervals and durations by computer-based algorithms of digital electrocardiographs.

Authors:  Paul Kligfield; Fabio Badilini; Ian Rowlandson; Joel Xue; Elaine Clark; Brian Devine; Peter Macfarlane; Johan de Bie; David Mortara; Saeed Babaeizadeh; Richard Gregg; Eric D Helfenbein; Cynthia L Green
Journal:  Am Heart J       Date:  2013-10-17       Impact factor: 4.749

6.  Electrocardiographic identification of left ventricular hypertrophy: test performance in relation to definition of hypertrophy and presence of obesity.

Authors:  P M Okin; M J Roman; R B Devereux; P Kligfield
Journal:  J Am Coll Cardiol       Date:  1996-01       Impact factor: 24.094

7.  Racial variations in electrocardiograms and vectorcardiograms between black and white children and their genesis.

Authors:  P S Rao; M K Thapar; R J Harp
Journal:  J Electrocardiol       Date:  1984-07       Impact factor: 1.438

8.  New gender-specific partition values for ECG criteria of left ventricular hypertrophy: recalibration against cardiac MRI.

Authors:  Khaled Alfakih; Kevin Walters; Tim Jones; John Ridgway; Alistair S Hall; Mohan Sivananthan
Journal:  Hypertension       Date:  2004-06-28       Impact factor: 10.190

9.  Sex differences in the evolution of the electrocardiographic QT interval with age.

Authors:  P M Rautaharju; S H Zhou; S Wong; H P Calhoun; G S Berenson; R Prineas; A Davignon
Journal:  Can J Cardiol       Date:  1992-09       Impact factor: 5.223

10.  Comparison of three current sets of electrocardiographic interpretation criteria for use in screening athletes.

Authors:  Nathan R Riding; Nabeel Sheikh; Carmen Adamuz; Victoria Watt; Abdulaziz Farooq; Gregory P Whyte; Keith P George; Jonathan A Drezner; Sanjay Sharma; Mathew G Wilson
Journal:  Heart       Date:  2014-12-11       Impact factor: 5.994

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  5 in total

Review 1.  How to interpret an electrocardiogram in children.

Authors:  L Lambrechts; B Fourie
Journal:  BJA Educ       Date:  2020-07-13

2.  Precordial ECG Amplitudes in the Days After Birth: Electrocardiographic Changes During Transition from Fetal to Neonatal Circulation.

Authors:  Sara Osted Hvidemose; Maria Munk Pærregaard; Christian Alexander Pihl; Adrian Holger Pietersen; Kasper Karmark Iversen; Henning Bundgaard; Alex Hørby Christensen
Journal:  Pediatr Cardiol       Date:  2021-01-28       Impact factor: 1.655

3.  Pediatric T-wave memory after accessory pathway ablation in Wolff-Parkinson-White syndrome.

Authors:  Karyn M Austin; Mark E Alexander; John K Triedman
Journal:  Heart Rhythm       Date:  2021-11-09       Impact factor: 6.779

4.  Validation of Normal P-Wave Parameters in a Large Unselected Pediatric Population of North-Western Romania: Results of the CARDIOPED Project.

Authors:  Gabriel Cismaru; Cecilia Lazea; Lucian Mureşan; Gabriel Gusetu; Radu Rosu; Dana Pop; Dumitru Zdrenghea; Anca Daniela Farcaş; Simona Sorana Căinap
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5.  A Randomized, Double-Blind, Placebo- and Positive-Controlled, 4-Period Crossover Study of the Effects of Solriamfetol on QTcF Intervals in Healthy Participants.

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