[Analysis of risk factors for prognosis of frontal lobe epilepsy]

Zhonghua Yi Xue Za Zhi. 2006 Dec 19;86(47):3328-30.
[Article in Chinese]

Abstract

Objective: To analyze the risk factors for the prognosis of frontal lobe epilepsy in order to predict the refractory frontal lobe epilepsy early, so as to provide theoretic basis for rational therapy early.

Methods: Forty-seven patients with medically refractory frontal lobe epilepsy and 92 patients with medically controllable epilepsy, totally 139 patients, underwent epidemiological savery, cranial CT or MRI, and video-electroencephalography (VEEG). Single factor analysis and Logistic stepwise regression analysis were done to analyze the relationship between the influential factors and the prognosis of disease.

Result: Single factor analysis showed that the factors including earlier onset age, longer duration before taking reasonable medicine, more frequent seizure (> 1 time/day), asymmetric tonic seizures, seizures with hypermotor automatism, secondary generally tonic-clonic seizures, and a past history of taking medicine, exerted adverse effects on the prognosis of frontal lobe epilepsy (all P < 0.05). Logistic stepwise regression analysis screened out such factors including duration before taking reasonable medicine (OR = 1.384, 95% CI 1.133 - 1.689) and seizure frequency (OR = 6.512, 95% CI 1.637 - 25.911) as independent predictors for the prognosis of frontal lobe epilepsy.

Conclusion: Long duration before taking reasonable medicine and frequent seizure onset are important risk factors for refractory frontal lobe epilepsy. It is possible to improve the prognosis of frontal lobe epilepsy by making a definite diagnosis and beginning rational therapy early.

Publication types

  • English Abstract

MeSH terms

  • Adolescent
  • Child
  • Child, Preschool
  • Electroencephalography
  • Epilepsy, Frontal Lobe / diagnosis*
  • Epilepsy, Frontal Lobe / drug therapy*
  • Epilepsy, Frontal Lobe / etiology
  • Female
  • Follow-Up Studies
  • Humans
  • Infant
  • Logistic Models
  • Male
  • Prognosis
  • Retrospective Studies
  • Risk Factors