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Comparing two ovulation induction methods by brachial artery ultrasonography in infertile women with polycystic ovary syndrome
Safdarian L, Satari Dibazar N, Ahmadzadeh A, Ghorbani Yekta B,
Volume 70, Issue 4 (5 2012)
Abstract

Background: Endothelial dysfunction can influence fertility rate in women with polycystic ovary syndrome (PCOS) as flow mediated dilatation (FMD) is impaired in patients with the disease. The aim of this study was to compare two methods of ovulation induction by letrozole or letrozole plus human menopausal gonadotropins (HMGs) in infertile women with PCOS who were resistant to clomiphene citrate based on brachial artery ultrasound findings.

Methods: In this double -blind randomized clinical trial, 59 infertile women who had the inclusion criteria for PCOS were evaluated in the Infertility Clinic of Shariati Hospital in Tehran, Iran in 2010-2011. The patients were assigned to two letrozole and letrozole plus HMG groups and were evaluated for FMD in the brachial artery by transvaginal ultrasonography. Later, the values were recorded and analyzed statistically.

Results: In the letrozole group, infertility treatment was successful in 15 (57.7%) but it failed in 11 (42.3%) patients. In letrozole plus HMG group, the treatment was successful in 18 (54.5%) while it failed in 15 (45.5%) patients. The mean FMD values in the groups with successful and unsuccessful treatment results were 19.42±10% and 18.57±7.2%, respectively, but the difference was not statistically significant (P=0.712). Moreover, the average endometrial thickness in groups with successful and unsuccessful treatment results were 8.4±1.3 mm and 9.8±3.9 mm, respectively but the difference was not significant either (P=0.06).

Conclusion: In infertile women with polycystic ovary syndrome that are resistant to clomiphene, letrozole or letrozole combined with gonadotropin can be equally effective for ovulation induction.


Analyzing clinical symptoms in multiple sclerosis using data mining
Zahra Raeisi , Pantea Ramezannezad , Marzieh Ahmadzade , Shahram Tarahomi ,
Volume 75, Issue 1 (April 2017)
Abstract

Background: One of the today most common and incurable diseases that is associated with central neural system is ‘MS’ disease. Multiple sclerosis (MS) is a demyelinating disease in which the insulating covers of nerve cells in the brain and spinal cord are damaged. In this disease become apparent a wide spectrum of symptoms such as lose muscles control and their coordination and vision derangement. The goal of this research is to consider to two problems: 1- Recognition of effective clinical symptoms on MS disease and 2- Considering levels of effectiveness of age, sex and education levels factors on MS disease and association between these factors according to verity of categories of this disease.

Methods: Data mining science in medicine is worthy of attention with main application in diagnosis, therapy and prognosis, respectively high volume of collected datum. The data that were used in this article are about patients of Chaharmahal and Bakhtiari Province and collected by cure assistance. In this paper classification and association methods in software engineering field are used. Classification is a general process related to categorization, the process in which ideas and objects are recognized, differentiated, and understood. Association rules are created by analyzing data for frequent if/then patterns and using the criteria support and confidence to identify the most important relationships.

Results: In consideration of first problem in this paper, concluded vision-clinical symptoms are the most effective symptoms and in consideration of second problem, concluded that from 584 records, women affected four times more than men. In other word 70% of MS patients with high graduate are in relapsing-remitting category and 62.5% of MS patients are 20-40 years old.

Conclusion: Some of symptoms are quite temporary and transitory and are ignored by people. Awareness of clinical-symptoms prevalence manner can be warning for people before starting critical cycle of illness. This would cause early diagnosis, effective therapy and even prevention of disease progress, respectively to MS chronicity.

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