Impact of being a relative of a patient with epilepsy on the association of attitudes toward epilepsy and disease knowledge levels.

OBJECTIVE: The social prognosis for individuals with epilepsy is often poorer than their clinical prognosis, highlighting the significant influence of social factors on the progression of the disease. Relatives of patients with epilepsy (RPEs) generally have more positive attitudes towards epilepsy compared to the general population. This study aimed to examine the effect of being an RPE on the relationship between attitudes toward epilepsy and levels of disease knowledge. METHODS: This cross-sectional analytical study included 217 adult participants, comprising 93 RPEs and 124 controls (non-RPEs), selected through convenience sampling. Data were collected via face-to-face interviews using a questionnaire that included sections on socio-demographic characteristics, the Epilepsy Knowledge Scale, and the Public Attitudes Toward Epilepsy (PATE) Scale. Path analysis was conducted using the Maximum Likelihood method. Due to the non-normal distribution of exogenous variables, the robust Huber/White/sandwich estimator method was used to calculate confidence intervals and fit indices. RESULTS: The mean age of the participants was 34.7 ± 11.5 years, with 128 (59.0 %) being female. RPEs scored an average of 26.8 ± 9.9 on the PATE Scale, which was significantly lower than the average score of 29.7 ± 11.0 for non-RPEs (p = 0.047). Path analysis indicated that being an RPE indirectly fosters a positive attitude through increased knowledge levels. While the direct effect of being an RPE on attitudes was not statistically significant, the indirect effect mediated by knowledge was significant. SIGNIFICANCE: This study highlights that the level of knowledge about epilepsy, a key predictor of positive attitudes, remains important even among RPEs. In kinship contexts where neurobiological and psychosocial factors are at play, the primary determinant of attitudes toward epilepsy is still the level of knowledge about the condition. Consequently, focusing on increasing knowledge about epilepsy should be the main strategy to promote positive attitudes, providing a more promising avenue for future research and interventions.

EEG changes in intensive care patients diagnosed with COVID-19: a prospective clinical study.

INTRODUCTION: Coronavirus disease (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was declared a pandemic on March 11th, 2020, by the World Health Organization (WHO). There has been a substantial increase in the epileptic seizures and status epilepticus reported in the pandemic period. In this context, it is aimed with this study to identify the electroencephalography (EEG) features of patients admitted to the intensive care unit with the diagnosis of COVID-19 and to look for any specific patterns in these features. MATERIAL AND METHOD: The material of this study primarily comprised the neurological evaluations and continuous EEG recordings of 87 intensive care patients who were diagnosed with COVID-19. In addition, demographic and clinical features and comorbid conditions of these patients were also analyzed, and any correlation thereof was investigated. RESULTS: The EEG data of 87 patients who were diagnosed with COVID-19 and were followed up in the intensive care unit were recorded and then analyzed. Abnormal EEG findings were detected in 93.1% (n = 81) of the patients, which were found to increase significantly with age (p < 0.001). The mean age of patients with specific epileptiform abnormalities on EEG was found to be significantly higher than those with non-specific abnormalities. Epileptiform discharges were seen in 37.9% (n = 33) of the patients. Nonconvulsive status epilepticus (NCSE) was detected in 5.7% of the patients, and antiepileptic drugs were started in 25 (28.7%) of the patients. DISCUSSION: Statistically significant EEG changes were observed in the continuous EEGs of the patients followed up in the intensive care unit due to COVID-19 infection. However, further studies are needed to associate the EEG changes observed in the COVID-19 patients with the epileptogenesis of COVID-19 infection.

Possible effects of rosuvastatin on noise-induced oxidative stress in rat brain.

The problem of noise has recently gained more attention as it has become an integral part of our daily lives. However, its influence has yet to be fully elucidated. Other than being an unpleasant stimulus, noise may cause health disorders through annoyance and stress, including oxidative stress. Rosuvastatin, a 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitor, may possess antioxidant properties. Based on rat models, our project investigates the effect of rosuvastatin on noise-induced oxidative stress in the brain tissue. Thirty-two male Wistar albino rats were used. The rats were divided into four groups: Noise exposure plus rosuvastatin usage, only noise exposure, only rosuvastatin usage, and control. After the data had been collected, oxidant and antioxidant parameters were analyzed in the cerebral cortex, brain stem, and cerebellum. Results indicated that superoxide dismutase values were significantly decreased in the cerebral cortex, while malondialdehyde values in the brainstem and cerebellum were significantly increased in the group with only noise exposure. Superoxide dismutase values in the brainstem were significantly increased, but nitric oxide values in the cerebellum and brainstem and malondialdehyde values in the cerebellum and cerebral cortex were significantly decreased in the group where only rosuvastatin was used. During noise exposure, the use of rosuvastatin caused significantly increased superoxide dismutase values in the cerebral cortex and brainstem, but significantly reduced malondialdehyde values in the brain stem. Consequently, our data show that brain tissue was affected by oxidative stress due to continued exposure to noise. This noise-induced stress decreases with rosuvastatin therapy.