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Showing 4 results for Tajik
Hepatobiliary dysfunction in patients with inflammatory bowel disease
Daryani E.b.n , Jafari Sepehr A.h, Tajik Rostami M, Bashasti M,
Volume 64, Issue 7 (9 2006)
Abstract
A high percent of patients with inflammatory bowel diseases (IBD) experience non intestinal symptoms. Many studies demonstrated that hepatobiliary disorders are the most common. Corresponding disorders consist of primary sclerosing cholangitis, non alcoholic steatohepatitis (NASH), biliary stones, pericholangitis, autoimmune hepatitis, liver amyloidosis, liver abscess, liver granuloma, hepatocellular carcinoma and primary biliary cirrhosis. However most studies concentrate on identifying primary sclerosing cholangitis, the most dreadful complication of IBD, other disorders like NASH and biliary stones are common and because of the similarity of symptoms to the primary disease may be ignored. In this article we review these disorders.
The accommodation of EMG and MRI findings in patients with radicular low back pain
Koushan A, Sadat Mm, Golbakhsh Mr, Siavashi B, Mehran S, Tajik A,
Volume 68, Issue 5 (6 2010)
Abstract

Background: There are multiple diagnostic methods for evaluation of patients with low back pain with a radicular pattern, each one has it's own accuracy and diagnostic ability and so comparing them with each other would help the clinicians to find the best diagnostic method. The main objective of our study was to compare the diagnostic accommodation of electromyography (EMG) and Magnetic Resonance Imaging (MRI) findings in patients with low back pain and radiculopathy.

Methods: In this descriptive cross-sectional study, 101 patients with low back pain and radiculopathy attending to Sina Hospital in Tehran, Iran from 2007 to 2009 that had indication for both EMG and MRI were evaluated for their demographic characteristics and disease-related factors.

Results: Totally, 90 out of 101 patients (89%) had abnormal EMG findings and 94 out of 101 subjects (93%) had abnormal MRI results. The concordance rate was 88% (89 patients) with no significant difference (p> 0.05). The sensitivity and specificity of MRI were 95.6% and 27.3%, respectively, and the sensitivity and specificity of EMG were 91.5% and 60%, respectively.

Conclusion: According to the results of this study and in comparison with other studies it may be concluded that MRI and EMG are both accurate and use of them in a concomitant manner would result in increased diagnostic ability in patients with low back pain and radiculopathy.
Effective feature selection of clinical and genetic to predict warfarin dose using artificial neural network
Mohammad Karim Sohrabi , Alireza Tajik ,
Volume 73, Issue 12 (March 2016)
Abstract

Background: Warfarin is one of the most common oral anticoagulant, which role is to prevent the clots. The dose of this medicine is very important because changes can be dangerous for patients. Diagnosis is difficult for physicians because increase and decrease in use of warfarin is so dangerous for patients. Identifying the clinical and genetic features involved in determining dose could be useful to predict using data mining techniques. The aim of this paper is to provide a convenient way to select the clinical and genetic features to determine the dose of warfarin using artificial neural networks (ANN) and evaluate it in order to predict the dose patients.

Methods: This experimental study, was investigate from April to May 2014 on 552 patients in Tehran Heart Center Hospital (THC) candidates for warfarin anticoagulant therapy within the international normalized ratio (INR) therapeutic target. Factors affecting the dose include clinical characteristics and genetic extracted, and different methods of feature selection based on genetic algorithm and particle swarm optimization (PSO) and evaluation function neural networks in MATLAB (MathWorks, MA, USA), were performed.

Results: Between algorithms used, particle swarm optimization algorithm accuracy was more appropriate, for the mean square error (MSE), root mean square error (RMSE) and mean absolute error (MAE) were 0.0262, 0.1621 and 0.1164, respectively.

Conclusion: In this article, the most important characteristics were identified using methods of feature selection and the stable dose had been predicted based on artificial neural networks. The output is acceptable and with less features, it is possible to achieve the prediction warfarin dose accurately. Since the prescribed dose for the patients is important, the output of the obtained model can be used as a decision support system.


Evaluation of Malassezia yeast colonization rate in patients with seborrheic dermatitis
Sanaz Tajiki , Roshanak Daie Ghazvini , Seyed Jamal Hashemi , Ensieh Zibafar , Mir Saeed Yekaninejad , Mahdi Zareei , Zeinab Borjian Boroujeni ,
Volume 75, Issue 9 (December 2017)
Abstract
Background: Seborrheic dermatitis (SD) is a chronic dermatitis with 1-3% prevalence and even with 33-83% in immunocompromised patients. Often, because of some of predisposing factors, abnormal proliferation of Malassezia yeasts (as a normal flora) is seen in patients that lead to observation of clinical symptoms in their bodies. The aim of this study was to evaluate of Malassezia yeasts colonization rate in patients with seborrheic dermatitis that has key importance to appropriate treatment.
Methods: This descriptive cross-sectional study was carried out during one-year period from January 2015 to February 2016 on 45 patients. According to the sample size formula, after visiting by a dermatologist and refer to the Medical Mycology Laboratory, Tehran University of Medical Sciences, patients were subjected to mycological examinations schedules. After recording the clinical symptoms and their specifications, sampling from all patients’ lesions was performed with sterile scalpel and a piece of scotch tape. Direct smears were prepared with 10% potassium hydroxide as a fungal clearing solution (KOH) and stained with methylene blue. The presence and rate of Malassezia yeast colonization was determined according to the standard procedures by direct microscopic examination.
Results: From a total of 45 under studied patients, 66.7% had moderate to severe colonization of Malassezia yeast. In existence of sweating and stress factors, severe colonization with significant differences was seen (P< 0.05). In 8 cases (17.7%), mycelium form of yeast was observed. The highest mycelium observation was seen in existence of stress with significant differences (P< 0.05).
Conclusion: In most of patients, yeast colonization rate was more than mild status, that emphasize on the etiological role of Malassezia yeasts at least as exacerbating factor in seborrheic dermatitis. On the other hand, the role of factors such as sweating and stress in inducing of severe colonization and invasive form of Malassezia yeasts in SD was confirmed, that should be considered to be treated as well as SD in therapeutic procedure.
 

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