Related Experiment Video
Updated: Feb 7, 2026

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
Published on: September 1, 2018
Tentative Screening Criteria for Short QT Interval in Children and Adolescents
Daisuke Hazeki1,2, Yumiko Ninomiya2, Kentaro Ueno2
1Department of Pediatrics, National Hospital Organization Kagoshima Medical Center.
Background:
While the prevalence of short QT syndrome (SQTS) in children and adolescents is low, early detection is important because SQTS can cause life-threatening arrhythmia. The aim of this study was to determine the tentative screening criteria for short QT interval in children and adolescents.
Methods And Results:
A total of 75,040 digitally stored electrocardiograms (ECG) of participants in a school-based ECG screening program were obtained between 2009 and 2013 in Kagoshima, Japan. ECG with a corrected QT interval (QTc) below the 10th percentile for each grade and sex were selected: 2,581 first graders (M/F, 1,296/1,285); 2,792 7th graders (M/F, 1,400/1,392); and 2018 10th graders (M/F, 979/1,039). Three consecutive QT/RR intervals were manually measured and corrected using Bazett's formula. The prevalence of SQTS was estimated at 1/30,000-1/10,000, which was set compared with the prevalence of long QT syndrome, then the screening points of the prevalence of short QT interval were assumed to be between 1/5,000 and 1/2,000 to exclude the possibility of false negative. We obtained the following tentative criteria based on frequency distribution charts: 325, 315 and 305 ms for male 1st, 7th and 10th graders, respectively; and 320 ms for female 1st, 7th, and 10th graders.
Conclusions:
For primary SQTS screening of children and adolescents, the QTc values for short QT interval should be adapted according to grade and sex.
Related Concept Videos
Criteria for Causality: Bradford Hill Criteria - II
Criteria for Causality: Bradford Hill Criteria - I
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Cognitive Development During Adolescence
Confidence Intervals
A...
Improper Integrals: Infinite Intervals

