Importância da análise da frequência cardiáca na diferenciação de eventos epilépticos e não epilépticos

Abstract

Dialeptic seizures are characterized by ictal loss of consciouness, that is independent of the EEG correlate. This classification of epileptic seizures is based only on ictal semiology and was proposed by Lüders et al in 1998. We studied 59 dialeptic events of 27 patients. The events were retrospectively analyzed and classified in: dialeptic complex partial seizures, dialeptic simple partial seizures and dialeptic non epileptic events. It is well known that cardiovascular regulation is a function of neuronal activity in the cerebral cortex, amygdala, and reticular formation in the medulla, and that selective activation of cardiac centers in theses areas is responsible for changes in the heart rate. Our study analyzed the heart rate changes 1 hour prior, during and 1 hour after each dialeptic event. It was shown that the heart rate of the basal period was similar in the complex partial seizures group and in the non epileptic group. The basal heart rate was increased in the simple partial seizures group (P<0.05). The ictal heart rate did not increase in the non epileptic group, as well as in the simple partial seizures group. We showed an increase in the heart rate in each dialeptic complex partial seizure (P<0.05), and the heart rate returned to normal in the post-ictal period. Our study showed that central mediated tachycardia is a feature of dialeptic complex partial seizures. In the second part of our study, the heart rate changes secondary to movement in epileptic and non epileptic seizures were analyzed. It was shown that none of the moderate non epileptic seizures had an increase in the ictal heart rate above 39.3% when compared to the heart rate in the basal period. There wasn’t any heart rate increase in any of the mild non epileptic seizures greater than 16.3% in the ictal period. None of the simple partial seizures showed heart rate increase above 20.6% of the basal period. We showed that a scale for movement quantification allow us to show a tendency of heart rate changes secondary to different degrees of body movement. Therefore, heart rate analysis can be used as an additional criterion for exclusion of psychogenic events.