Background: Abnormal EEG is a predictor of seizure relapse. Obtaining data related to the diagnosis and outcome of the first seizures is necessary for improving care for these patients, whereas data for these studies is scarce and is limited to a few a few centres. The aim was evaluation of the EEG changes in patients with first suspicious movements of seizure.Methods: All of the patients with first suspicious movements of seizure referred to Alavi hospital of Ardabil from March 2019 to March 2020 enrolled in this study. Data including age, gender, etiology of the seizure, seizure type and EEG changes gathered. Collected data were analyzed by statistical methods in SPSS version 21.Results: 71 patients were studied. Based on the seizure type, 50 (70.4%) patients had motor, 10 (14.1%) patients had nonmotor and 11 (15.5%) patients had focal seizures type impaired awareness. EEG findings were normal in 46 patients (64.8%). There were slowing waves and epileptic discharge in 12 (16.9%) and 13 (18.3%) patients, respectively. Abnormal EEGs recorded in routine modality in 16 patients (64%), H. V. modality in 2 patients (8%), Ph. S. modality in 2 patients (8%) and both routine and excitatory modalities in 5 (20%) patients.Conclusions: There was not a significant relationship between EEG findings and age, gender, seizure etiology and seizure type. Also there was not a significant relationship between abnormal waves in different modalities and type and etiology of the seizures.
Anticonvulsants such as phenytoin, phenobarbital, topiramate, carbamazepine and valproate due to their beneficial effects and economic benefits in compare to new drugs are used more but these drugs are not harmless and sometimes had dangerous, safe and reversible side effects. Reduction of the nervous conduction velocity (NCV) is the common side effect of these drugs and it is of clinically importance if it is severe especially in treated children. Therefore, it is necessary to evaluate and compare the effect of each drug on NCV. The aim of this study was to investigate the effects of antiepileptic drugs on NCV. In this quasi-experimental study, 125 children with seizure were randomly selected and divided into six equal size groups which received phenytoin, phenobarbital, topiramate, valproate, carbamazepine and one group as control which no received anti-epileptic drug. Sensory and motor neural conduction velocity were measured and recorded for all children in groups. Collected data were analyzed by statistical methods in SPSS version 19. All of anticonvulsants were reduced the NCV in children but among all drugs, phenobarbital and phenytoin had the least and most impact on the NCV. The changes in NCV were not related to the age and gender of children. Results showed that the anticonvulsants had similar impact on NCV in generally but future studies are recommended by considering the other effective variables on response to drug.
Background and Objective: Studies indicate that people with multiple sclerosis (MS) are at increased risk of sleep disorders and the resulting negative outcomes. The aim of this study was to evaluate sleep quality in patients with MS. Materials and Methods: In this case-control study, 110 patients with all confirmed types of MS as a case group and 110 healthy subjects as control group were evaluated in terms of sleep quality using Pittsburgh Sleep Quality Index (PSQI). The data collected was analyzed using t-test and chi-square tests. Results: Total score of PSQI was significantly higher in patients with MS than that of the control group (7.32 ± 2.78 vs. 5.30 ± 2.00, P = 0.001). Furthermore, PSQI scores of patients with MS was significantly higher than that of the control group in subscales including sleep latency (1.14 ± 0.99 vs 0.85 ± 0.91, P = 0.029), sleep duration (1.09 ± 0.80 vs. 0.83 ± 0.88, P = 0.048), habitual sleep efficiency (1.15 ± 0.92 vs. 0.85 ± 0.83, P = 0.017), sleep disturbance (1.25 ± 0.96 vs 0.96 ± 0.88, P = 0.013), use of sleep medication (0.69 ± 0.94 vs. 0.33 ± 0.65, P = 0.001), and daytime dysfunction (0.88 ± 0.93 vs. 32.2 ± 0.69, P = 0.001). Conclusion: Patients with MS had a significantly more improper sleep quality compared to the control group. So, poor sleep quality has a negative effect on daily activities and social communication of these patients and generally reduce their quality of life (QOL).
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