Epilepsy's effect on cardiac rhythm and the autonomic nervous system

• Published in: Revista da Associacao Medica Brasileira (1992) Vol. 70; no. 2; p. e20230742
• Main Authors: Demir, Tulin Gesoglu, Gungoren, Fatih, Ethemoglu, Ozlem Uzunkaya, Agircan, Dilek
• Format: Magazine Article
• Language: English
• Published: Brazil Associação Médica Brasileira 01.01.2024
• Subjects: Autonomic Nervous System; Autonomic Nervous System Diseases; Death, Sudden; Heart Rate; Humans; Original; Seizures; Sudden Unexpected Death in Epilepsy
• ISSN: 0104-4230; 1806-9282
• DOI: 10.1590/1806-9282.20230742

Sudden unexpected death in epilepsy is the most common cause of death in young patients with epilepsy. The aim of this study was to evaluate changes in interictal electrocardiogram parameters and sympathetic skin responses as markers of autonomic dysfunction in patients with epilepsy and to determine their effects on the type and duration of epilepsy, frequency of seizures, and responses to treatment. A total of 97 patients with epilepsy and 94 healthy controls were recruited. We recorded their clinical and demographic characteristics and analyzed sympathetic skin response latency and amplitude, electrocardiogram recordings, and seven cardiac rhythm parameters: P-wave duration, PR segment, QRS duration, QT interval, QT interval distribution, Tpe duration, and Tpe/QT interval ratio. P-wave durations, T-wave durations, QT and QT interval durations, and Tpe and sympathetic skin response latency were significantly longer among patients with epilepsy than the controls, and their heart rate was significantly lower. However, sympathetic skin response latency and heart rate were negatively correlated, and T-wave duration, QT duration, QT interval duration, and Tpe were positively correlated. Our results from interictal electrocardiograms indicate clinically significant arrhythmias among patients with epilepsy and the correlation of such arrhythmias with sympathetic skin responses. Thus, noninvasive tests that evaluate the autonomic system should be used to predict the risk of sudden unexpected death in epilepsy among patients with epilepsy.