218 Children Eplepsia’s Dimical Features And AEEG Analgsis

Objective:EP is one of the common to see nervous system dease which iscan be caused by variety factors.It is a syndrome which is caused by cerebra nerve fiberabnormaly discharge lead to suddenly,repeatedly and momently hyperspasermia, sensory disorder and conscious change. More than half of patients with epilepsy in childhood onset. EP is a great ratio happened in childhood, and influence children’s development if repeadly attack which can lea- d to hypoxia and tissue injury; Bring a heavy financial and psycholgi-cal burden to the patients and their families. For newly diagnosed epileptic children after standard treatment, 70% ~ 80% of the attack can be controlled, of which 60% to 70% of the children with 2 ~ 5 years of treatment discontinuation for epileptic children, so early diagnosis and standardized trea- tment is very important. AEEG is one of the important and extensive current clinical methods for EP diagnosis, though the dynamic EEG monitor- ing time prolong EEG epileptiform discharges and detection rate has been gr- eatly improved, but there are still some children with epilepsy cannot show the epileptiform discharge in the monitor.This topic is through study the correlation between clinical characteristics and AEEG abnormal of the epileptic children to get a more accurate evaluation of AEEG in diagnosis of epilepsy value. guide the early clinical diagnosis and treatment of epilepsy in children with epilepsy, to reduce the damage to the body and the spirit, and improve the prognosis.Methods:1 Object of studyCollecting 218 EP children’data from pediatric neurology unit of the Secondary Hebei Medical Universty Hospital from 2014.1 to 2015.1, One of the boys 132, girls 86. Ages between 0 to 14 years old.EP diagnosis refer to the classification of primary EP diagnosis standards which is issued by 2013 International Antiepilepsia Union.the child should be fit to inclusion and exclusionstandards.2 method studyThe selected patients were grouped(1) Gender : male 132, female 86;(2)there are 73 case in 0 ~ 1 years old group, 22 case in 1 ~ 3 years old group, 48 case in 3 ~ 6 years old group, 75 case in 6 ~ 14 years old group;(3)there are 158 case in partial seizure, 60 case in generalized seizures.(4)there are 92 case have viral encephalitis, 126 case have not merged with viral encephalitis;(5) there are 50 case with intellectual movement backward development, 168 case non intellectual movement backward development;(6)There are 113 case have head MRI abnormal, 95 case normal, com- pared the abnormal rate of observed dynamic EEG, the above data were statis- tically analyzed.3 Statistical processingStatistical data of selected children with epilepsy, the results are col- lated,count data is designed into four paired table chi square test, multiple rate compared by chi square test, data statistics analysis in SPSS13.0 sta- tistical software, statistical significance P<0.05.Results:1 Categorized according to genderMale 132 case, abnormal AEEG 82 case. normal AEEG 50 case, abnormal AEEG ratio 62.1%.Female 86 case, abnormal AEEG 50 case. normal AEEG 36 case, abnormal AEEG ratio 58.1%. The proportion of the abnormal AEEG between male and female is 1.53:1.Comparing the two groups by Chi-square test χ2 = 0.346, P =0.557, there is no statistical significence in abnormal AEEG at different gender.2 Categorized according to ageAccording to the age, we can divided the patients to four groups.(1) The group of 0~1 years, a total of 73 case, 53 case of dynamic EEG abnormalities, 20 normal case, the dynamic EEG abnormal rate is 72.6%;(2) The 1~3 age group, a total of 22 case, 8 case have the dynamic abnormal E E G, 1 4 c a s e h a v e n o r m a l d y n a m i c E E G, E E G a b n o r- mal rate in the age group of 3~6 is 36.4%;(3) The 3~6 age group, a total of 48 case, of which the dynamic abnormal EEG is 23 case, 25 case of normal dynamic EEG, EEG abnormal rate in the age group of 6~14 is 47.9%;(4) The 6~14 age group, a total of 75 case, in which the dynamic EEG abnormality 48 case, 27 case of normal dynamic EEG, EE- G abnormal rate of 64%, multiple rates were compared with the chi-square test wasχ 2=13.408, P<0.001, dynamic EEG epileptiform discharge detection rates is different between different age groups, To compare the rate of the two groups, different age groups of dynamic EEG epileptiform discharge detection rate from high to low in order for the 0~1 age group, the 6~14 years old group, the 1~3 years old group, the 3~6 years old group.3 Categorized according to onset formAccording to the date, The patients of generalized seizures more than partial seizures in children with epilepsy. Onset form of grouping based on generalized seizures group of 60 case, ambulatory EEG abnormalities 43 case, 17 case of normal ambulatory EEG, ambulatory EEG abnormalities incidence 71.7%. partial seizures group of 158 case, 89 ambulatory EEG abnormalities, normal 69 ambulatory EEG, ambulatory EEG abnormalities incidence 56.3%, the two groups were compared using the chi-square test χ2 = 4.283, P = 0.039, the difference there was statistically significant.4 Categorized according to whether or viral encephaliterCase with viral encephaliter 92 case, abnormal AEEG 75 case. normal AEEG 17 case. abnormal AEEG ratio 81.5%.Case unconsolidated viral encephalit is 126 case, abnormal AEEG 57 case. normal AEEG 69 case. abnormal AEEG ratio 45.2%. Between the two groups χ2 = 29.307, P<0. 001. There is statistical signifience to compare the t- wo groups.5 Categorized according to intelligence test resultsThere are 50 case with mental retardation, abnormal AEEG 40 case. normal AEEG 10 case. abnormal AEEG ratio is 80%. There are 168 case have n o p r e d i s p o s i n g f a c t o r s, a b n o r m a l A E E G 9 2 c a s e. n o r m a l A E- EG 76 case. abnormal AEEG ratio is 54.7%. Between the two groups χ2 = 10.275, P = 0. 001. There is statistical signifience to compare the two groups 6 Categorized according to head MRIThere are 113 case’ head MRI Abnormal MRI, abnormal AEEG 87 case. normal AEEG 26 case. abnormal AEEG ratio 77.0%. Normal MRI 95 case, abnormal AEEG 45 case. normal AEEG 60 case. Abn- ormal AEEG ratio is 47.4%. Comparing the two groups by Chi-square test χ2 = 26.548, P<0.001, there is statistical significence.Conclusions:1 The incidence of children with opilepsy is higher in boys than in girls. but ambulatory EEG epileptiform discharges detection rate has nothing to do with sex.2 Differentage groups of dynamic electroencephalogram epileptiform discharges have differences. Different age groups of dynamic EEG epileptifo- rm discharge detection rate from high to low in order for the 0~1 age group, the 6~14 years old group, the 1~3 years old group, the 3~6 years old group.3 Partial epileptic seizures AEEG positive rate greater ambulatory EEG seizure positive detection rate.4 Merge viral encephalitis increase in children with epilepsy ambulatory EEG detection rate of epileptiform discharges.5 The children with mental retardation of Epilepsy EEG epileptiform discharges of the dynamic development of detection rate of hypertension.6 Head MRI detectable lesions in children with Epilepsy EEG epilepti- form discharge dynamic detection rate was not detected lesions in children with epilepsy high.