Abstract
Aim: this study was aimed at identifying prognostic potential of electroencephalo- graphic and cardiointervalometric neurophysiological parameters using logistic regression modeling in patients with brain tumors manifesting with symptomatic epilepsy.
 Methods: the primary group of participants in the study consisted of 88 patients, aged 22 to 83 years admitted at Ryazan State regional hospital neurosurgical department with brain tumor as the admitting diagnosis. The control group consisted of 20 relatively healthy individuals of equal gender distribution. The primary group was further subdivided into groups of patients with brain tumor associated epilepsy and brain tumors with no epileptic seizures. Five minute electrocardiogram as well as electroencephalograms were recorded in 3 functional probes (baseline, hyperventilation and post-hyperventilation) on admission followed by statistical correlational analysis and logistic regression.
 Results: based on significantly strong correlations the selected electroencephalogram predictor factors included Average power of the delta wave diapazon in F3-A1 and O2-A2 during hyperventilation probe as well as Mode (Mo) and very low frequency component of total power (%VLF) cardiointer- val parameters during post-hyperventilation probe. Selected predictors used in the logistic regression model were able to predict possible prognosis in patients with brain tumor induced epilepsy with 73% sensitivity and 96% specificity.
 Conclusion: logistic regression analysis of pre-defined neurophysiological predictor factors is perspective in neurooncological patients including patients with brain tumor induced epilepsy in terms of its clinical prognostic value and structuring of complex and effective treatment schemes.
Highlights
Aim: this study was aimed at identifying prognostic potential of electroencephalographic and cardiointervalometric neurophysiological parameters using logistic regression modeling in patients with brain tumors manifesting with symptomatic epilepsy
Methods: the primary group of participants in the study consisted of 88 patients, aged 22 to 83 years admitted at Ryazan State regional hospital neurosurgical department with brain tumor as the admitting diagnosis
Five minute electrocardiogram as well as electroencephalograms were recorded in 3 functional probes on admission followed by statistical correlational analysis and logistic regression
Summary
Цель: оценка прогностических нейрофизиологических показателей у больных с опухолями головного мозга с эпилептическим синдромом логит-регрессионным анализом. Методы: Основная группа участников исследования состояла из 88 пациентов в возрасте от 22 до 83 лет, находящихся на лечении в нейрохирургическом отделении Рязанской областной клинической больницы с диагнозом «опухоль головного мозга». Основная группа была подразделена на 2 подгруппы; 22 больных с опухолями головного мозга с эпилептическим синдромом и 66 больных без эпилептического синдрома. Всем обследуемым были выполнены пятиминутная запись электрокардиограммы, а также электроэнцефалограмма в 3-х функциональных пробах (фон, гипервентиляция и после гипервентиляции) с последующим статистическим анализом частотных показателей и корреляционным анализом. Результаты: установлено, что неблагоприятное течение заболевания развивалось чаще у больных с опухолями головного мозга с симптоматическими эпилептическими припадками. Применение нейрофизиологических исследований при поступлении и последовательная математическая разработка критериев прогноза перспективно увеличивает вероятность диагностирования скрытой эпилептической активности у больных ОГМ. Ключевые слова: опухоль головного мозга, эпилептический синдром, логистическая регрессия
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