Parivash Eftekhari

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We designed an artificial neural network (ANN) to diagnose cirrhosis in patients with chronic HBV infection. Routine laboratory data (PT, INR, platelet count, direct bilirubin, AST/ALT, AST/PLT) and age were collected from 144 patients. Cirrhosis in these patients was diagnosed by liver biopsy. The ANN's ability was assessed using receiver-operating(More)
Arterial blood gas (ABG) has an important role in the clinical assessment of patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Because of ABG complications, an alternative method is beneficial. We have trained and tested five artificial neural networks (ANNs) with venous blood gas (VBG) values (pH, PCO(2), HCO(3), PO(2),(More)
BACKGROUND The i-gel™ is a new device introduced recently. It differs from other supraglottic airway devices. It has a non-inflatable, gel-made cuff. Previously used devices, have some disadvantages which are claimed to be absent in i-gel™. In this study we aimed to compare the performance of the laryngeal mask airway (LMA)-Classic™ and i-gel™ during(More)
Oxidative stress appears to have an important role in glucocorticoid insensitivity, as a crucial problem in asthma therapy. We studied the preventive effect of antioxidant N-acetylcysteine (NAC) on the airway hyper-responsiveness (AHR) and the accumulation of inflammatory cells in the airways in an animal model of steroid resistant acute exacerbation of(More)
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