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A novel marker to predict cardiac arrhythmia in epilepsy patients: frontal QRS-T angle
U Duzgun1, M B Tascanov, J Shafiyev
1Department of Neurology, University of Health Sciences, Gulhane Training and Research Hospital, Ankara, Turkey. ulkuhanduzgun@hotmail.com.
Objective:
The most important complication of epilepsy, which is a chronic disorder of the central nervous system, is sudden unexplained death in epilepsy (SUDEP). The causes of SUDEP are complex and multifactorial. Epilepsy patients are at increased risk of cardiovascular events, SUDEP, and ventricular arrhythmias, due to both the disease itself and the effect of antiseizure medications. Previous studies have commonly focused on cardiac repolarization markers in epilepsy patients. This study aimed to investigate frontal QRS-T angle (FTQ angle), a relatively new repolarization parameter, in epilepsy patients.
Patients And Methods:
One hundred two epilepsy patients and 86 healthy volunteers as a control group were included in the study. The clinical data of all patients were prospectively recorded during patient visits. All participants underwent 12-lead surface electrocardiography (ECG). SPSS 22 was used to evaluate all data. p<0.05 was considered statistically significant.
Results:
When the epilepsy patient group and the control group were compared in terms of QRS (89.59±43.63 vs. 80.00±9.82, p=0.050), QT (364.30±36.16 vs. 335.95±35.64, p<0.001), QTc (418.85±27.06 vs. 409.37±26.66, p=0.018) durations, and FTQ angle (46.55±22.06 vs. 20.84±12.70, p<0.001), statistically significant differences were found between the groups. We observed that FTQ angle was significantly higher in individuals exposed to the disease for more than 10 years (39.2±19.0 vs. 54.7±22.5, p<0.001). In addition, according to the multivariate logistic regression analysis, disease duration was an independent predictor of FTQ angle (β=0.263, p=0.009).
Conclusions:
FTQ angle, a relatively new repolarization parameter, can be used as an inexpensive, easy, reproducible, and reliable ECG marker to predict the risk of adverse cardiac events in epilepsy patients.
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