AUTOMATED MEASUREMENT OF QT INTERVAL DISPERSION FROM HARD-COPY ECGS

Increased ''dispersion'' of the QT interval of the electrocardiogram h as been proposed as a marker for increased risk of cardiac arrhythmias , but definitive identification of its independent predictive value re quires accurate and reproducible measurement in large numbers of cases . A personal computer-based technique for (1) converting hard-copy ele ctrocardiograms to digital records and (2) automatically measuring QT interval dispersion from the digitized records has been developed and validated. Hand measurements of the RR interval from the original trac ing and cursor or automated measurements from digitized waveforms corr elated to within 1%. QT intervals measured by cursor on digitized wave forms were a mean of 14 ms (95% confidence interval, 10-19 ms) longer than manual measurements on original tracings. Automatic QT interval m easurements were a mean of 5 ms longer than cursor measurements (95% c onfidence interval, 3-7 ms). Automated measurements were observer inde pendent and repeatable (coefficient of variation for repeat measuremen ts, 0.137% RR and 0.370% QT). Estimates of QT dispersion (expressed as coefficient of interlead QT variation) were made for 14 patients with documented recurrent ventricular and 15 control subjects. The median coefficient of interlead QT variation was 8.8% (range, 4.4-12.4%) for arrhythmia patients and 3.6% (range, 2.7-6.3%) for the control group ( P < .001). The automatic measurements were more conservative and less likely to give spuriously large values for QT dispersion than manual m easurements. Automated QT dispersion measurements should facilitate fu ture studies on predicting the risk of ventricular arrhythmias.