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Comparison of Principal Component Analysis of the T wave and QT Dispersion in Prediction of Arrhythmic Events in PostMI Survivors
Yeungnam University Hospital, Daegu, Korea
Sang-Hee Lee, Dong-Gu Shin, Hang-Jae Chung, Geu-Ru Hong, Jong-Sun Park, Young-Jo Kim, Bong-Sup Shim
QT dispersion(QTd) is a crude and approximate measure of abnormality of the complete course of cardiac repolarization. To overcome the methodological limitations of QTd, novel T-wave morphology variables, such as the complexity of the T wave assessed by principal component analysis (PCA), have been recently developed. To determine whether PCA can differentiate postMI(PMI) patients with malignant ventricular arrhythmias(VA) from without VA, 36 patients were studied : 12 PMI patients with VA, 12 age, sex and infarct-size matching PMI patients without VA and 12 healthy subjects were studied. Standard 12-lead ECGs were recorded digitally using the MAC-VU system (Marquette Medical Systems). QTcD was quantified as the difference between maximum and minimum QT intervals. T-wave loop morphology was quantified by the ratio of the second to first eigenvalues of the T-wave vector by PCA (PCA ratio). PCA parameters were computed using the QT Guard software package by Marquette. Results : PMI patients with VA(n =12) had increased PCA ratios compared with those without VA(44.3%±31.5% vs 38.5%±25.7%, P = 0.015). However, QTcD did not show the significant difference between groups(Table). Conclusion : Abnormalities of repolarization measured by PCA of the T-wave loop can detect the future arrhythmic events in postMI survivors than any other conventional ECG-derived repolarization parameters.

?

Normal

n=12

PMI-VT

n=12

PMI+VT

n=12

P value

Age(years)

53±9

59±13

63±13

NS

Sex(Male,%)

4(33)

9(75%)

8(67%)

NS

QTcD(ms)

23.2±13.0

42.1±19.4

32.1±28.9

0.113

PCA ratio2(%)

15.7±7.2

38.5±25.7

44.3±31.5

0.015

 


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