Yafteh

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Background: Bender Gestalt Test is one of the most famous neuropsychological tests, simple and easy to perform, and is used to evaluate brain injuries. This study aimed at determining the rate of sensitivity, characteristic and cut-off point of this test in patients with traumatic brain injury (TBI). Methods and Materials: Overall, 120 TBI patients with mean age of 31.25± 13.60 years old in a descriptive-analytical research design entered the study using nonprobability and consecutive sampling method. All patients underwent Bender Visual-Motor Gestalt Test after neurological evaluations by CT scan. Roc curve test was utilized to analyze the data. Results: In this study, cut-off point was calculated as 6.5%, sensitivity as 55.8%, characteristic as 81.2%, and the area under the Roc curve as 0.69. Moreover, positive predictive value, negative predictive value and efficiency were 95.08%, 22.03%, and 59.17%, respectively. Conclusion: Results of this study revealed that Bender Gestalt Test is relatively weak in diagnosis of mild TBI. Hence, its characteristic is high and it was successful in diagnosing healthy individuals.

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Background : Asthma is one of the commonest chronic childhood diseases and one of the main factors of hospital admission at these ages. The main causes of increasing death due to asthma are inability in the diagnosis and piddling the severity of the diseases, delay in the recourse and inappropriate treatment. Therefore the early diagnosis of children at risk for urgent admission in special care unit and also identifying environmental factors of incidence and intensification of this disease play an important role in its management. Materials and Methods: In this study the relationship between climatic variables (temperature, evaporation, relative humidity, sunny hours, wind direction and speed, number of days with frost), and number of asthma attacks leading admission of children in Ayatollah Madani hospital( The only children's hospital) in Khorramabad city was studied .In order to identify the climatic variables that are effective in the incidence of children asthma attacks, multiple regression statistical stepwise method has been used. In this method, 10 climatic independent variables with a dependent variable of children asthma attacks during a 9-year period from 2007 to 2009 were studied, and three climatic variables have been known in three steps. Results: : In the first Step, monthly average of sunny hours variable (with coefficient of correlation 37.15%) and the amount of p=0.058 was entered into the model and the variable accuracy was confirmed. In the second step the absolute minimum temperature variable (with coefficient of correlation 31.5%) and assumption of being fixed first variable as compared with dependent variable entered to regression model, and in the third step, number of days with frost variable (with coefficient of correlation 9.5%) was entered into the model and the multiple correlation coefficients (78.15%) was yield. The results have indicated that among the climatic variables, monthly average of sunny hours variable with inverse correlation , the minimum absolute temperature and average monthly number of days frost with direct correlation have the most correlation with children asthma attacks. Conclusion: Comparison of the results of this study with other researches illustrates that effective variables in thermal environmental conditions such as the absolute minimum temperature and frost days have good correlation with asthma attacks. But considerable point is the types of variables that in the past researches between sunny hours and number of days with frost, and the mentioned disease no relationship has been shown.

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Background: Sleepiness that occurs at inappropriate or undesirable times or that interferes with daytime activities is generally considered excessive daytime sleepiness. Obstructive Sleep Apnea (OSA) is one of the most common causes of excessive daytime sleepiness. The aim of this study is to finds out the most important nocturnal polysomnographic parameters influencing daytime sleepiness in patients with OSA. Materials and Methods: Considering the inclusion and exclusion criteria, 112 patients referred to Baqiyatallah subspeciality sleep clinic in Qom city were selected. Patients, demographic and Epworth Sleepiness Scale (ESS) data were gathered and then comparison among ESS with polysomnography and anthropometric parameter was performed. Chi-square was used for analysis of qualitative parameters. Data analysis was done by SPSS v.18. P value was significant (˂0.05). Results: The mean age of the cases was 55.07 with male frequency 58.9% and female 41.1%. Body mass index was 34.34, apnea hypopnea index 43.62, mean Arousal Index 30.64 and mean ESS was 12.83. There was significant relationship among ESS>10 with arousal index (p=0.009) and mean O2 saturation (p=0.029), But we didn’t detected correlation between ESS>10 with other polysomnographic parameters. Conclusion: According to the data, the most important parameters of sleepiness in obstructive sleep apnea patients were sleep fragmentation and mean O2 saturation.