Sensory processing and sleep quality affect children’s academic performance and their quality of life. This study aimed to investigate the relationship between sensory processing patterns and sleep quality in primary school children.

In this cross-sectional study, 231 primary school students aged 7 to 12 years old (133 girls and 98 boys, the mean age of 8.68±1.51) who were studying in schools in Tehran were randomly selected through cluster sampling. The researchers distributed a questionnaire on children’s sleep habits to assess the quality of sleep and a sensory profile questionnaire to assess the sensory processing patterns (avoidance, sensitivity, seeking, and registration) among the students.

In this study, we found a meaningful moderate relationship between sensory processing patterns and overall scores of sleep habits (p <0.001). Moreover, each of the sensory processing patterns had a negative relationship with areas of sleep habits (p = 0.005). There was also a significant difference between d sleep habits while making decisions about sensory challenges and sleep problems. Better sleep may occur with attention to sensory needs in sleep routines. Better sleep may lead to improved quality of life in families and enhanced student performance at school.

Previous studies in adults with epilepsy revealed a higher prevalence of metabolic syndrome, resulting in cerebrovascular and cardiovascular events. However, there is insufficient data about body composition and metabolic syndrome in children, especially in the Middle Eastern region. We aimed to investigate metabolic syndrome criteria and body composition in ambulatory children with Epilepsy in Southern Iran.

Seventy seven epileptic children with an average age of 11.4 ± 3.2 years and their age-gender-matched controls were included in this study. Anthropometric data, lipid profile, blood glucose, and blood pressure were checked. Body composition was also evaluated by Hologic system dual-energy X-ray absorptiometry.

The prevalence of metabolic syndrome as well as the fat mass index in patients were higher than the controls, and p values are 0.032 and 0.012, respectively. Moreover, the lean mass with Bone Mineral Content (BMC) index was detected lower than the controls (P= 0.017).Regarding drugs consumption, serum triglyceride and the blood pressure in patients who receiving carbamazepine was higher than the control individuals with P = 0.019, Beta = 0.379 and P = 0.016, Beta = -0.26, respectively. Fat mass index was also higher in patients using sodium valproate (P = 0.031, Beta = 0.238).

Our study revealed that children with epilepsy are more prone to metabolic syndrome and higher body fat mass. Therefore, early diagnosis and prevention of metabolic syndrome criteria in patients with epilepsy, With performing regular exercise and having a healthy diet should be encouraged in these children.

Our study revealed that children with epilepsy are more prone to metabolic syndrome and higher body fat mass. Therefore, early diagnosis and prevention of metabolic syndrome criteria in patients with epilepsy, With performing regular exercise and having a healthy diet should be encouraged in these children.

Determining the predictors of respiratory failure and duration of intubation in children with Guillain-Barre syndrome (GBS).

Children diagnosed with GBS at Tabriz Children’s Hospital were studied. Factors associated with and influencing respiratory failure as well as the duration of intubation were determined using both univariate and multiple analyses.

Overall, 324 children were enrolled in the study, 54.0% of whom were males. Thirty-one (9.6%) patients underwent mechanical ventilation, the patients under 5 years old were more prone to the requirement of mechanical ventilation (11.3% vs. 6.9%). Cases hospitalized in winter were more likely to need ventilation compared to those hospitalized in spring (OR =7.00; 95% CI1.51-32.53). Also, autonomic involvement (OR=8.88, 95% CI4.03-19.58; p<0.001) and cranial nerves involvement (OR=9.88, 95% CI3.68 – 26.52; p<0.001) emerged as risk factors for mechanical ventilation requirement. Overall, 16.1% of patients with axonal electrophysiologic pattern required mechanical ventilation compared to 7.4% of those with demyelinating type (OR2.15, 95% CI 1.01-4.69). In univariate analysis, the only variable that showed a correlation with the duration of intubation was axonal electrophysiologic pattern (p= 0.028).

Approximately, 10% of the patients required mechanical ventilation. Season, cranial nerve involvement, autonomic dysfunction and electrophysiologic pattern were the most important variables in predicting respiratory failure and duration of mechanical ventilation.

Approximately, 10% of the patients required mechanical ventilation. Season, cranial nerve involvement, autonomic dysfunction and electrophysiologic pattern were the most important variables in predicting respiratory failure and duration of mechanical ventilation.Neurometabolic disorders are hereditary conditions mainly affect the function of the brain and the nervous system. The prevalence of these disorders is 1 in 1,000 live births. Such disorders, at different ages, could manifest as sepsis, hypoglycemia, and other neurologic disorders. Having similar manifestations leads to delayed diagnosis of neurometabolic disorders. A number of neurometabolic disorders have known treatments; however, to prevent long-term complications the key factors are early diagnosis and treatment. Although a large number of neurometabolic diseases have no treatment or cure, the correct and on-time diagnosis before death is important for parents to have plans for prenatal diagnosis. Ilginatinib datasheet Different diagnostic procedures could be offered to parents, enzymatic procedures, and determining metabolites in plasma, urine, and CSF, and molecular genetic diagnosis. Molecular genetic diagnostic procedures are expensive and could not be offered to all parents. Therefore, we aimed to design algorithms to diagnose neurometabolic disorders according to some frequent and characteristic signs and symptoms. By designing these algorithms and using them properly, we could offer diagnostic enzymatic panels. These enzymatic panels are inexpensive; thereby reducing the financial burden on the parents. Also, having an early diagnosis according to these panels could lead to offering more accurate and less expensive molecular genetic tests.