Key result
Automated QTc calculation showed poor agreement with manual measurement (mean difference 3.8 ms; 95% CI -161 to 176), though a value of 455 ms was sensitive for detecting manual QTc >480 ms.
Why the study?
Manual QT measurement is time-consuming but potentially more accurate than computerized automated calculation, prompting a comparison between automated and manual QTc values in children.
Does automated QTc calculation agree with manual QTc measurement in pediatric resting ECGs?
Cross-Sectional (n=350)
No
Does automated QTc calculation agree with manual QTc measurement in pediatric resting ECGs?
Mean Difference: 3.8 (95% CI -161–176)
Automated QTc values have poor agreement with manual measurements in children but an automated QTc of 455 ms is sensitive for detecting a manual QTc > 480 ms.
Automated QTc warrants caution for accuracy in pediatric ED ECGs; leaves open optimal screening thresholds for prolonged QTc.
OBJECTIVES: QTc interval is significant because prolongation may lead to ventricular dysrhythmia. Computerized electrocardiogram machines typically measure QT interval length and, using an algorithm assessment of multiple leads, calculate a QTc value. Manual measurement of the QT interval used to calculate the QTc value is more time-consuming but potentially more accurate. In this study, we compare the automated QTc calculation with the QTc value calculated using manual QT measurements. METHODS: We prospectively obtained 350 resting 12-lead electrocardiograms (ECGs) in children aged 2 to 14 years in an academic pediatric emergency department. Manual measurement of the QT interval was performed and the QTc was calculated using the 2 most commonly used correction methods, Bazzet and Fridericia formulas. The paired values were used to perform a Bland-Altman analysis and create a receiver operating characteristic curve. RESULTS: Bland-Altman analysis determined that QT-automated and QTc-Bazett had an average difference of 3.8 milliseconds, with a standard deviation of 86 milliseconds (95% confidence interval = -161 to 176). An automated QTc value of 455 milliseconds was sensitive to detect manual QTc values of greater than 480 milliseconds. CONCLUSIONS: In children with resting ECGs, there is a poor agreement between the automated QTc produced by a computerized electrocardiogram and the QTc value obtained using manual QT measurement. Statistically and clinically relevant discrepancy between the automated QTc and QTc values calculated after manual QT measurement was present. Automated QTc values may be used as a screening tool to detect prolonged QTc, but for accurate determination of QTc, manual measurement is necessary.
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Hoffman et al. (2020) conducted a cross-sectional in Pediatric emergency department patients (n=350). Automated QTc calculation vs. Manual QTc calculation was evaluated on Agreement between automated and manual QTc measurements (MD 3.8, 95% CI -161 to 176). Automated QTc calculation showed poor agreement with manual measurement (mean difference 3.8 ms; 95% CI -161 to 176), though a value of 455 ms was sensitive for detecting manual QTc >480 ms.
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