Electrocardiograms in Healthy North American Children in the Digital Age

Elizabeth V Saarel1, Suzanne Granger2, Jonathan R Kaltman3

  • 1Cleveland Clinic Children's, OH (E.V.S.) saarele@ccf.org.

Insights

Pediatric electrocardiogram (ECG) interpretation requires updated, diverse reference values. This study found significant sex and race variations in ECG measurements for children, impacting diagnosis and screening.

Area of Science:

  • Pediatric Cardiology
  • Biomedical Engineering
  • Clinical Diagnostics

Background:

  • Pediatric electrocardiogram (ECG) interpretation is challenged by a lack of current, sex- and race-specific normal reference values.
  • Modern technology is needed to obtain these reference values across all pediatric age groups.

Purpose of the Study:

  • To establish contemporary digital ECG measurements in healthy North American children.
  • To evaluate the influence of sex and race on these ECG parameters.
  • To compare findings with existing pediatric ECG datasets.

Main Methods:

  • Retrospective collection of 12-lead digital ECGs from 2400 children (≤18 years) with normal echocardiograms.
  • Classification into 36 groups based on age, sex, and race (white, black, other/mixed).
  • Measurement of standard ECG intervals and amplitudes, with analysis of mean±SD and 2nd/98th percentiles, and multivariable analysis.

Main Results:

  • Significant variations in ECG intervals and amplitudes were observed across sex and race categories.
  • Corrected QT interval in lead II was longer in girls (≥3 years) and in white children (≥12 years) compared to respective counterparts.
  • R wave amplitude in V6 was greater in boys (≥12 years) and in black children (≥3 years) compared to respective counterparts.

Conclusions:

  • Most pediatric ECG intervals and amplitudes demonstrate variability based on sex and race in a diverse cohort.
  • These sex- and race-specific differences are crucial for accurate interpretation of pediatric ECGs in contemporary clinical practice.
  • Findings have implications for diagnostic thresholds, including those for left ventricular hypertrophy.
Abstract

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