Ahmed Yassin1, Khalid El-Salem2, Basheer Y Khassawneh3, Abdel-Hameed Al-Mistarehi4, Mohamad Jarrah5, Anas M Zein Alaabdin4, Sumayyah K Abumurad6, Mohammad G Qasaimeh6, Salma Y Bashayreh7, Raid M Kofahi7, Kefah A Alhayk7, Duha Alshorafat7, Majdi Al Qawasmeh7. 1. Assistant Professor of Neurology; Division of Neurology, Department of Neurosciences, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.. Electronic address: amyassin@just.edu.jo. 2. Full Professor of Neurology; Division of Neurology, Department of Neurosciences, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan. 3. Full Professor; Division of Pulmonary, Sleep and Critical Care Medicine, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan. 4. Department of Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan. 5. Associate Professor; Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan. 6. Specialist of Neurology; Division of Neurology, Department of Neurosciences, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan. 7. Assistant Professor of Neurology; Division of Neurology, Department of Neurosciences, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Abstract
INTRODUCTION: A single-lead electrocardiogram (EKG) is routinely recorded with electroencephalogram (EEG). This study investigates the frequency and types of EKG abnormalities during routine EEG. METHODS: All routine EEGs (20-60 min) over one year were retrospectively analyzed. A blinded cardiologist interpreted EKG recordings. An epileptologist evaluated EEGs. Demographic data, underlying comorbidities, and indications for the EEG were extracted. RESULTS: A total of 433 recordings for 365 patients were included. Mean (±SD) age was 46.8 (±21.3) years and 50.4% were females. EKG abnormalities were detected in 28.5% of patients; sinus tachycardia (11%), premature ventricular contractions (7.9%), atrial fibrillation (Afib) (6.3%), sinus bradycardia (2.2%) and premature atrial contractions (1.1%). Afib was more common in females than males (p = 0.020), confirmed in six out of seven patients and discovered in 17 patients. Age (OR: 1.67, 95%CI: 1.05-2.66, p = 0.031), prior diagnosis of epilepsy (OR: 2.25, 95% CI: 1.22 - 4.14, p = 0.009), history of seizure (OR: 1.97, 95%CI: 1.09-3.54, p = 0.024), abnormal EEG (OR: 2.14, 95%CI: 1.25 - 3.66, p = 0.005) and EEGs evaluating seizures/epilepsy (OR: 4.18, 95% CI: 1.32 - 13.21, p = 0.015) or syncope (OR: 3.21, 95% CI: 1.16 - 8.84, p = 0.024) were independently associated with abnormal EKG. CONCLUSION: The frequency of EKG abnormalities captured during routine EEGs was high, with Afib being the most significant. Older age, history of epilepsy or seizure, abnormal EEGs, and EEGs evaluating seizures/epilepsy or syncope were significant predictors. These findings suggest neurologists to become more vigilant to EKG recorded during routine EEG as such findings might have diagnostic and therapeutic implications.
INTRODUCTION: A single-lead electrocardiogram (EKG) is routinely recorded with electroencephalogram (EEG). This study investigates the frequency and types of EKG abnormalities during routine EEG. METHODS: All routine EEGs (20-60 min) over one year were retrospectively analyzed. A blinded cardiologist interpreted EKG recordings. An epileptologist evaluated EEGs. Demographic data, underlying comorbidities, and indications for the EEG were extracted. RESULTS: A total of 433 recordings for 365 patients were included. Mean (±SD) age was 46.8 (±21.3) years and 50.4% were females. EKG abnormalities were detected in 28.5% of patients; sinus tachycardia (11%), premature ventricular contractions (7.9%), atrial fibrillation (Afib) (6.3%), sinus bradycardia (2.2%) and premature atrial contractions (1.1%). Afib was more common in females than males (p = 0.020), confirmed in six out of seven patients and discovered in 17 patients. Age (OR: 1.67, 95%CI: 1.05-2.66, p = 0.031), prior diagnosis of epilepsy (OR: 2.25, 95% CI: 1.22 - 4.14, p = 0.009), history of seizure (OR: 1.97, 95%CI: 1.09-3.54, p = 0.024), abnormal EEG (OR: 2.14, 95%CI: 1.25 - 3.66, p = 0.005) and EEGs evaluating seizures/epilepsy (OR: 4.18, 95% CI: 1.32 - 13.21, p = 0.015) or syncope (OR: 3.21, 95% CI: 1.16 - 8.84, p = 0.024) were independently associated with abnormal EKG. CONCLUSION: The frequency of EKG abnormalities captured during routine EEGs was high, with Afib being the most significant. Older age, history of epilepsy or seizure, abnormal EEGs, and EEGs evaluating seizures/epilepsy or syncope were significant predictors. These findings suggest neurologists to become more vigilant to EKG recorded during routine EEG as such findings might have diagnostic and therapeutic implications.