Related Experiment Video
Updated: Jan 23, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
QT Corrections for Long QT Risk Assessment: Implications for the Preparticipation Examination
David Hadley1, David Hsu2, David Pickham3
1Cardiac Insight Inc, Seattle, Washington.
Insights
New QT interval screening thresholds are proposed for young athletes to better detect inherited arrhythmic diseases and prevent sudden cardiac death (SCD). The Fridericia correction formula is recommended over Bazett for improved accuracy in ECG screening.
Area of Science:
- Cardiology
- Sports Medicine
- Genetics
Background:
- Sudden cardiac death (SCD) in young individuals often occurs in hearts without structural abnormalities.
- Current screening for inherited arrhythmic diseases relies on QT interval measurements with outdated criteria.
- Improved electrocardiogram (ECG) screening methods are crucial for identifying at-risk youth.
Purpose of the Study:
- Define normal upper limits for QT interval in healthy young individuals.
- Compare the efficacy of different QT interval correction formulas.
- Propose new QT interval thresholds for SCD risk stratification in young populations.
Main Methods:
- Analysis of ECG data from 31,558 young active individuals undergoing preparticipation physical examinations.
- Comparison of Bazett and Fridericia correction formulas for QT interval measurement.
- Statistical analysis to determine optimal screening thresholds.
Main Results:
- The Fridericia correction formula demonstrated superior performance in removing heart rate effects and fitting raw data compared to Bazett.
- Using Fridericia correction increased the detection rate of athletes in the 99th/99.5th percentiles by over 50% compared to Bazett.
- The study analyzed data from a large cohort of young athletes across different age groups.
Conclusions:
- The Fridericia correction formula is recommended for QT interval assessment in preparticipation examinations.
- Proposed thresholds are 460 ms for men and 470 ms for women, with 485 ms for marked prolongation.
- These updated criteria enhance the detection of individuals at risk for SCD.
Background:
Because sudden cardiac death (SCD) in the young mainly occurs in individuals with structurally normal hearts, improved screening techniques for detecting inherited arrhythmic diseases are needed. The QT interval is an important screening measurement; however, the criteria for detecting an abnormal QT interval are based on Bazett formula and older populations.
Objective:
To define the normal upper limits for QT interval from the electrocardiograms (ECGs) of healthy young individuals, compare the major correction formula and propose new QT interval thresholds for detecting those at risk of SCD.
Methods:
Young active individuals underwent ECGs as part of routine preparticipation physical examinations for competitive sports or community screening. This was a nonfunded study using de-identified data with no follow-up.
Results:
There were 31 558 subjects: 2174 grade school (7%), 18 547 high school (59%), and 10 822 college (34%). Mean age was 17 (12-35 years), 45% were female, 67% white, and 11% of African descent. Bazett performed least favorably for removing the effect of heart rate (HR), whereas Fridericia performed the best. Fridericia correction also closely fit the raw data best (R of 0.65), and at percentile values applicable to screening. The recommended risk cut points using Bazetts correction identified less than half of the athletes in the 99th or 99.5th percentiles of the uncorrected QT by HR range. Use of Fridericia correction increased capture rates by over 50%.
Conclusion:
Our results support the application of the Fridericia-corrected threshold of 460 for men and 470 milliseconds for women (and 485 milliseconds for marked prolongation) rather than Bazett correction for the preparticipation examination.
More Related Videos
08:28Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus
Published on: April 5, 2011
08:42Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
Published on: May 19, 2015
Related Concept Videos
Distance Corrections
Power Factor Correction
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Relative Risk
NMR Spectrometers: Resolution and Error Correction
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...