ObjectiveVideo electroencephalography (VEEG) monitoring for health education of elderly patients based on a process-based communication model, and explore the impact of this model on the success rate, negative emotions, nursing satisfaction, and active cooperation rate of such patients.MethodsFrom September 2017 to September 2019, 118 patients with suspected epilepsy, encephalitis and other diseases who required VEEG monitoring in Suining Central Hospital were selected for this study (patients aged 61 to 73 years; 54 males and 64 females). Patients were divided into 2 groups using a random number table method, 59 patients in each group.A group received routine nursing, and B group received health education based on the process communication model. The monitoring success rate, negative emotion, active cooperation rate, and nursing satisfaction were compared between the two groups.ResultsThe total effective rate in the B group was 86.44%, which was significantly higher than 76.27% in the A group (P<0.05). After nursing intervention, the scores of anxiety and depression in the two groups were significantly decreased, but the decline was greater in the B group (P<0.05). The active cooperation rate and nursing satisfaction of the B group were significantly higher than those of the A group (P<0.05).ConclusionCompared with conventional nursing, health education based on process communication mode can significantly improve the success rate of VEEG monitoring in elderly patients, alleviate the negative emotions of patients, improve the active cooperation rate and nursing satisfaction.
Objective To explore the actual experience of epileptic patients in video electroencephalogram (VEEG) examination, and to provide reference basis for formulating corresponding nursing strategies and coping methods. MethodsIn this descriptive analysis study, 18 patients (11 males and 7 females, average age 37.78±18.7 years) receiving VEEG from January to April 2022 in the Second Affiliated Hospital of Guangzhou Medical University, underwent a semi-structural interview. Information obtained from the interview was analyzed using the Colaizzi 7-step method. ResultsThe actual experience of epileptic patients in video EEG examination can be summarized into two aspects: the medical experience and the need for nursing care. The medical experience includes positive and negative experience. The positive experience includes good service attitude, professional medical services, good endurance, and being hopeful. The negative experience includes a weird feeling in the head, insomnia, inconvenience in life, eye discomfort, psychological pressure, and pain. The need for nursing care includes needs for knowledge, strong needs for communicating with doctors, needs for humanistic care and female needs for female implementing the equipment. Conclusion Epileptic patients suffer from different degrees of discomfort and psychological pressure during VEEG examination. Both negative and positive experience exist. Medical staff should improve the content of nursing services according to the nursing needs of patients and provide professional VEEG examination services to patients.
ObjectiveTo explore the clinical value of video-electroencephalograph (VEEG) for non-epileptic seizures disease in children. MethodsThe clinical data of 58 children with non-epileptic seizures (NES) diagnosed by VEEG from October 2010 to November 2012 were retrospectively analyzed. ResultsIn 50 out of 58 patients in the process of monitoring,the NES clinical onset was found while no synchronized epileptiform discharges was observed;in five patients with NES combined with epilepsy,no epileptiform discharges was found by VEEG at the clinical onset of NES;there were 3 patients with epileptiform discharges without seizures,who had no history of epilepsy,but non-synchronized clinical nonparoxysmal epileptiform discharges was found by VEEG monitoring. ConclusionVEEG is an effective diagnosis method for NES and seizures in children,which could be regarded as the gold standard for NES diagnosis.
Video-electroencephalogram (VEEG) monitoring is a valuable tool for diagnosing recurrent partial epilepsy, classification of intractable epilepsy, and evaluation of epilepsy surgery. The role of video EEG in identifying and determining the type of epilepsy and determining the location of seizures has been widely demonstrated, but there is There is a lack of uniform standards for adverse events and management methods during monitoring. In order to improve the quality of long-range video EEG monitoring and reduce the possible impact on patients during monitoring, it is necessary to summarize the possible adverse reactions during monitoring.
ObjectiveTo find out the most appropriate way to fix scalp electrodes for long-range video electroencephalogram on female patients. MethodsA total of 50 female patients with epilepsy who underment video electroencephalogram between May 2011 and May 2013 were divided into tonsure group, collodion group, and improvement group, with 40 patients in each group. Differences among three methods of fixation were observed and a questionnaire survey on satisfaction of patients and medical staff was conducted. ResultsWe found that the modified-method cost less time, caused less pain during electrode removal, required fewer procedures for nurses and was more acceptable by patients. ConclusionWe recommend the modified-method for female patients unless they are limited by some special conditions.
ObjectiveTo explore the prognostic value of normal 24 hour video electroencephalography (VEEG) with different frequency on antiepileptic drugs (AEDs) withdrawal in cryptogenic epilepsy patients with three years seizure-free. MethodsA retrospective study was conducted in the Neurology outpatient and the Epilepsy Center of Xi Jing Hospital. The subject who had been seizure free more than 3 years were divided into continual normal twice group and once group according to the nomal frequence of 24 hour VEEG before discontinuation from January 2013 to December 2014, and then followed up to replase or to December 2015. The recurrence and cumulative recurrence rate of the two group after withdrawal AEDs were compared with chi-square or Fisher's exact test and Kaplan-Meier survival curve. A Cox proportional hazard model was used for multivariate analysis to identify the risk factors for seizure recurrence after univariate analysis. P value < 0.05 was considered significant, and all P values were two-tailed. Results95 epilepsy patients with cause unknown between 9 to 45 years old were recruited (63 in normal twice group and 32 in normal once group). The cumulated recurrence rates in continual two normal VEEG group vs one normal VEEG group were 4.8% vs 21.9% (P=0.028), 4.8% vs 25% (P=0.006) and 7.9% vs 25%(P=0.03) at 18 months, 24 months and endpoint following AEDs withdrawal and there was statistically difference between the two groups. Factors associated with increased risk were adolescent onset epilepsy (HR=2.404), history of withdrawal recurrence (HR=7.186) and abnormal VEEG (epileptic-form discharge) (HR=8.222) during or after withdrawal AEDs. The recurrence rate of each group in which abnormal VEEG vs unchanged VEEG during or after withdrawal AEDs was respectively 100% vs 4.92% (P=0.005), 80% vs 19.23%(P=0.009). ConclusionsContinual normal 24h VEEG twice before withdrawal AEDs had higher predicting value of seizure recurrence and it could guide physicians to make the withdrawal decision. Epileptic patients with adolescent onset epilepsy, history of seizure recurrence and abnormal VEEG (epileptic-form discharge) during or after withdrawal AEDs had high risk of replase, especially patients with the presence of VEEG abnormalities is associated with a high probability of seizures occurring. Discontinuate AEDs should be cautious.
ObjectiveAicardi and Goutières syndrome was first reported as a rare hereditary encephalopathy with white matter involvement in 1984. Typical clinical manifestations include severe mental motor development retardation or regression, pyramidal and extrapyramidal symptoms and signs, epilepsy, microcephaly and frostbite.MethodsTo collect a case of patient who presented with convulsions 14 days after birth without obvious inducement. The child was diagnosed as epilepsy in the local hospital and the symptoms improved after treatment with antiepileptic drugs. At 4 months, the child presented nods and clenched fists, and was diagnosed as infantile spasm. After Adrenocorticotrophic hormone and drug treatment, the symptoms gradually improved. Due to upper respiratory track infection, the child was aggravated at the age of 1 year and 2 months, and then diagnosed as Aicardi-Goutières syndrome by video EEG, skull MRI, fundus and gene screening.ResultsSurgery and treatment with antiepileptic drugs significantly improved the symptoms of the child, and the pathological biopsy of the brain tissue supported the previous diagnosis.ConclusionsThe report of this case will help to improve the clinician's diagnosis and treatment of Aicardi-Goutières syndrome.
ObjectiveTo explore the clinical and video EEG features of patients with post-stroke epilepsy (PSE).MethodsThe clinical data of 68 patients with epilepsy after cerebral infarction and 33 patients with epilepsy after cerebral hemorrhage were analyzed retrospectively from January 2015 to June 2018 in the Affilated Hospital of Jining Medical University. There were 5 cases of early-onset epilepsy, and the rest were late-onset epilepsy. There were 68 cases of cerebral infarction (1 case showed post-infarction hemorrhagic transformation), 33 cases of cerebral hemorrhage; 51 females, 50 males (f∶m = 1.02∶1); the onset age was 45 ~ 101 years, with an average of (68.10 ± 10.26) years.ResultsThe time from seizure to stroke in 101 cases was (28.92 ± 35.61) months, 60 cases (59.40%) ≤ 1 year, 26 cases (25.74%) 1 ~ 5 years, and 15 cases (14.85%) 5 ~ 10 years. Post-stroke epilepsy had no relation to gender (P>0.05). The age of onset is mostly in 60 to 75 years old (62.38%). Seizure often happen within 1 year after stroke (59.4%). The type of attack is focal seizure (77.23%). Cortical infarction (77.94%), cerebral artery stenosis (83.82%), hypertension, diabetes, and atrial fibrillation are risk factors for epilepsy after infarction. The abnormal rate of EEG for PSE is 90.1%, which was manifested as slow wave in the lesion side, epileptic wave in the lesion side or contralateral side.ConclusionsThe location, duration, age and severity of cerebral artery stenosis in patients with PSE are closely related to the occurrence of seizure. VEEG plays an important role in the diagnosis, treatment and prognosis of epilepsy.
Objective To summarize and analyze the clinical and video-EEG (VEEG) characteristics of adult sleep-related epilepsy, so as to provide evidence for clinical diagnosis, differential diagnosis and treatment. Methods The clinical data, routine EEG and long-term VEEG of 187 adult patients with sleep-related epilepsy treated in Department of Neurology, Xiangya Hospital, Central South University from January 2017 to December 2017 were retrospectively analyzed by χ2 test. Results Clinical manifestations: The duration of sleep-related epilepsy in 187 adults was concentrated in 1～10 years (101 cases, 54.01%); the frequency of seizures was mainly from several to dozens of times a year (99 cases, 52.94%); 119 cases (63.64%) had two or more types of seizures. Among the patients, 121 cases (39.29%) had focal origin, 152 cases (49.35%) had bilateral tonic clonus and 110 cases (58.82%) were treated with two or more drugs. EEG results: ① The detection rate of epileptiform discharges in routine EEG was 22.78%, and that in long-term video EEG was 80.43%. There was significant difference between the two methods (P< 0.01); ② Eighteen epileptiform discharges were monitored by routine EEG during interparoxysmal period and 111 epileptiform discharges were monitored by video EEG; and ③ Fifty-six epileptic events were monitored and all occurred in the process of long-term VEEG monitoring, 50 of them occurred in sleep (89.29%) and 6 in awake (10.71%); 45 cases (80.36%) were diagnosed as epileptic seizures, 9 cases (16.07%) were diagnosed as non-epileptic seizures, and 2 cases (3.57%) could not be determined. ④ The detection rate of epileptic discharges during sleep was higher than that during awake period in long-term VEEG monitoring (P< 0.01). The detection rate of epileptiform discharges in NREM stage I–II was the highest in sleep stage. Conclusion Sleep-related epilepsy in adults has certain clinical features and EEG manifestations. Compared with conventional EEG, long-term video-EEG can improve the detection rate of epileptiform discharges, provide diagnostic basis for the qualitative analysis of sleep-related seizures, and reflect the relationship between epileptiform discharges and sleep, and provide basis for the clinical diagnosis and treatment of sleep-related epilepsy in adults.