Electrocardiogram Standards for Children and Young Adults Using <i>Z</i>-Scores.
Bratincsák. András A; Kimata. Chieko C; Limm-Chan. Blair N BN; Vincent. Kevin P KP; Williams. Matthew R MR; Perry. James C JC
Key Findings
- The study used the biggest pediatric ECG dataset ever (27,085 healthy subjects ages 0‑39).
- All 102 ECG variables were given median, IQR, and Z‑score limits from –2.5 to +2.5, adjusted for body surface area and split by sex and age groups.
- Standardized Z‑score charts aim to reduce interpretation bias and improve automated ECG screening in young people.
Practical Outcomes
- For biohackers, this work mainly offers a more reliable way to interpret ECGs if you have access to professional equipment, but it doesn’t change daily health‑optimization protocols or suggest new interventions.
Summary
Scientists built a huge database of heart‑electrocardiogram (ECG) numbers from over 27,000 kids and young adults and turned those numbers into Z‑scores, which are easy‑to‑compare reference values for 102 different ECG measurements.
Abstract
Normative ECG values for children are based on relatively few subjects and are not standardized, resulting in interpersonal variability of interpretation. Recent advances in digital technology allow a more quantitative, reproducible assessment of ECG variables. Our objective was to create the foundation of normative ECG standards in the young utilizing <i>Z</i>-scores. One hundred two ECG variables were collected from a retrospective cohort of 27 085 study subjects with no known heart condition, ages 0 to 39 years. The cohort was divided into 16 age groups by sex. Median, interquartile range, and range were calculated for each variable adjusted to body surface area. Normative standards were developed for all 102 ECG variables including heart rate; P, R, and T axis; R-T axis deviation; PR interval, QRS duration, QT, and QTc interval; P, Q, R, S, and T amplitudes in 12 leads; as well as QRS and T wave integrals. Incremental <i>Z</i>-score values between -2.5 and 2.5 were calculated to establish upper and lower limits of normal. Historical ECG interpretative concepts were reassessed and new concepts observed. Electronically acquired ECG values based on the largest pediatric and young adult cohort ever compiled provide the first detailed, standardized, quantitative foundation of traditional and novel ECG variables. Expression of ECG variables by <i>Z</i>-scores lends an objective and reproducible evaluation without interpreter bias that can lead to more confident establishment of ECG-disease correlations and improved automated ECG readings in high-volume cardiac screening efforts in the young. Graphic Abstract: A graphic abstract is available for this article.
Study Information
pubmed
2020
2020-07-07T00:00:00.000Z
10.1161/circep.119.008253