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

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

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

SUMMARY OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Multi-inflammatory index as a new predictive and prognostic marker of acute symptomatic seizures in patients with cerebral venous sinus thrombosis.

BACKGROUND: The multi-inflammatory index (MII) is a novel marker that indicates the diagnosis, prognosis, and clinical severeness of inflammation-associated diseases. It is indicated that inflammatory biomarkers may help predict the occurrence of acute symptomatic seizures(ASS) after ischemic stroke. OBJECTIVE: Our goal was to search the predictive and prognostic capability of the MII-1 and MII-2 for ASS in cerebral venous sinus thrombosis (CVST) patients. METHOD: 91 patients with CVST were retrospectively analyzed from the medical records of patients between 2010 and 2023 and divided into the ASS group and non-ASS group. The MII-1 and MII-2 levels on admission, demographic and clinic features, predisposing risk factors, radiological characteristics involving thrombotic cerebral veins, and the type of parenchymal lesions were documented. Modified Rankin Scale (mRS) on admission and at the 3rd month were evaluated to determine the disability. RESULTS: MII-1 and MII-2 were statistically significantly higher in the ASS group and predictors for the occurrence of seizures with CVST in multivariate analysis. The area under the curve (AUC) of the receiver operating characteristics (ROC) curve for MII-1 was 0.791 (95 %CI = 0.691-0.891, p < 0.001), and AUC for MII-2 was 0.761 (95%CI = 0.660-0.861, p < 0.001). When the clinical variables that were included in the multivariate analysis and MII-1 and MII-2 were combined, the predictive power was greater with the AUC of 0.959. A significant positive correlation was found between mRS at the 3rd month and MII-1 and MII-2 in the ASS group. CONCLUSION: MII-1 and MII-2 can be used as new predictive and prognostic markers of ASS in patients with CVST.