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European Heart Journal 1998 19(2):342-351; doi:10.1053/euhj.1997.0741
Copyright © 1998 by the European Society of Cardiology.
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The value of the coefficient of variation in assessing repeat variation in ECG measurements

S.C. McLaughlina, T.C. Aitchisonb and P.W. Macfarlaneaf1

a Department of Medical Cardiology, University of Glasgow, Glasgow, Scotland, U.K.
b Department of Statistics, University of Glasgow, Glasgow, Scotland, U.K.

accepted August 5, 1997

Aims

The coefficient of variation is a popular measure for describing the amount of repeat variability present in ECG measurements from recording to recording. However, it can be misleading. The aim of the present study was to assess repeat variation (reclassification) in computer measured ECG criteria, i.e. positive to negative or vice versa, and compare this with the coefficient of variability.

Methods and Results

Two ECGs were obtained from each of 295 patients, one day apart, and separately from a further 364 patients, several minutes apart. All patients were considered to be in a stable condition. Estimates of the coefficients of variation were obtained for a number of ECG parameters used in the diagnosis of left ventricular hypertrophy. Corresponding reclassification rates of relevant ECG criteria were also calculated.Large coefficients of variation were observed in voltage parameters, e.g. R in V5(20% for day-to-day recordings and 6% for minute-to-minute recordings) while the corresponding reclassification rates were 8% and 0% respectively. The repeat variation in the diagnosis of left ventricular hypertrophy was up to 5% for day-to-day recordings and up to 3% for minute-to-minute recordings based on several different criteria.

Conclusion

A large coefficient of variation in a particular variable does not necessarily correspond to a high reclassification rate. A better measure of the impact of ECG variability for a particular measurement is obtained from its reclassification rate. In turn, this may have a minimal effect on the overall diagnosis of a particular abnormality.

Key Words: Electrocardiogram • computer analysis • repeatability

f1 Correspondence: Professor P. W. Macfarlane, University Department of Medical Cardiology, Glasgow Royal Infirmary, 10 Alexandra Parade, Glasgow G31 2ER, U.K.


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