Why the study?
Does increased QT dispersion on ECG Holter monitoring correlate with the occurrence of ventricular arrhythmias in patients with dilated cardiomyopathy?
Does increased QT dispersion on ECG Holter monitoring correlate with the occurrence of ventricular arrhythmias in patients with dilated cardiomyopathy?
Increased QT dispersion end (QTde) on 24-hour ECG Holter monitoring is significantly associated with the occurrence of non-sustained ventricular arrhythmias in patients with dilated cardiomyopathy, potentially identifying those at high risk for sudden death.
QTde on Holter may flag arrhythmia risk in DCM; hypothesis-generating and should not yet change practice.
Background.QT dispersion (QTd) is increased in patients with dilated cardiomyopathy. Increased QTd has been associated with the risk of sudden death. We studied: a) the relation between QTd on 12-lead ECG and QTd-ECG Holter; b) the relation between QTd apex (QTda) and QTd end (QTde) on ECG Holter and the risk of ventricular arrhythmias in patients with dilated cardiomyopathy. Methods and Results.65 patients with dilated cardiomyopathy (33 idiopathic and 32 post-is-chemic etiology; NYHA II-III) were studied. We divided the patients into: Group A -patients with not-sustained ventricular arrhythmias-; and Group B -patients without arrhythmias-. A significant direct correlation between QTd calculated from 12-lead ECG and from ECG Holter was found in all patients. QTda/24h was not significantly different in the two groups (Gr.A 59.9±7.8 msec vs Gr.B 53.6±8.4 msec p=ns) while QTde/24h was significantly higher in Group A (Gr.A 81.9±5.9 msec vs Gr.B 44.5±6.8 msec; P<0.005). In post-ischemic etiology (32 pts; 17 with arrhythmias) the correlation between QTde/24h and ventricular arrhythmias was confirmed (Gr.A 81.4±7.8 msec vs Gr.B 42.6±6.2 msec P<0.002). Conclusions.ECG Holter recordings can evaluate QTd as well as the QTd on 12-lead ECG. An increased QTde/24h seems to be correlated with the occurence of ventricular arrhythmias in patients with dilated cardiomyopathy and can then be a useful tool to select patients at high risk for sudden death.
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Maria et al. (2006) studied this question.
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