Tehran University Medical Journal

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Background: Intra-rater agreement in observing and decision making in diagnosis of any disease is of great importance.This investigation is to observe and read ultrasound pictures of ovarian cysts and distinguish its category for any radiologist. Distinguishability is one of the related entities in this matter and radiologists&apos ability in correct diagnosis is of great concern. In this study, we evaluated radiologist’s distinguishability of ordered categories of ovarian cyst diseases (benign, borderline and malignant) in ultrasonography. To do this, we measured intra-rater agreement of radiologists by Weighted Kappa coefficient, and then by the help of “square scores association model” and “agreement plus square scores association model” we evaluated their distinguishability in diagnosis of the severity of the ovarian cyst’s diseases.

Methods: In this analytical cross-sectional study, two radiologists and three radiology residents assessed ultrasounds of 40 patients separately and independently in two periods (with the interval of one week). Patients selected from those who were referred to Mirza Koochak Khan Hospital in January 2005. Ultrasounds were performed by an expert radiologist and by a single apparatus.

Result: Data from radiologists was evaluated by “square scores association model” due to their superior results of distinguishability. Mean of Weighted Kappa coefficient was 0.81 and intra-rater agreement was 0.99 for our radiologists, but due to weaker results of our residents, we used “agreement plus square scores association model” for analyzing and mean of Weighted Kappa coefficient was 0.65 and intra-rater agreement was 0.97 for them.

Conclusion: Although radiologists had a better function than their residents, all of them showed appropriate distinguishability and intra-rater agreement in diagnosis and categorizing of the ovarian cyst’s disease. To distinguish benign category from borderline was more difficult than to distinguish malignant category from borderline and radiologists showed better results in this than their residents did.

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Our understanding of the pathogenesis of endocrine disorders increase rapidly by genetic studies at the molecular level. Common endocrine disorders such as diabetes mellitus, obesity, osteoporosis, dyslipidemia and cancer follow the multifactorial model in the genetic aspect. This review tries to clarify the approach in molecular studies of such diseases for clinicians in different specialties. How to evaluate a possible association between a single nucleotide polymorphism and an endocrinopathy or its complication is the main concern of this review. Two approaches for gene mapping will be discussed as well as main challenges regarding each approach. All such genetic studies ideally include some test of the association between genome sequence variation and the phenotype of interest such as the trait itself, the presence of a given complication, or measures of some endocrinopathy-related intermediate trait. Despite different advances in this analysis, there are major concerns regarding the overall performance and robustness of genetic association studies. By using powerful new high-throughput methods, further insights to molecular basis of such endocrine disorders can be expected. Close correlation between geneticists and clinicians can effectively bridge between basic sciences and clinical investigations.

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Background: In Nov 2013, the instruction for controlling high cholesterol has been released by the American College of Cardiology (ACC) and the American Heart Association (AHA) which need to be assessed in the different communities. Methods: Of total 6275 individual aged 40-75 years who entered at the Tehran Lipids and Glucose Study from March 1999 to 20 March 2010 in first examination cycle, 5153 with the median follow-up of more than ten years were eligible to enter in this study. The 10-year risk of hard cardiovascular disease (Hard CVD) for Statin therapy based on ACC/AHA clinical guideline was calculated and this risk was calculated for each subgroup of the guideline who recommended for statin therapy comparing to the risk in individuals with prevalent CVD. Results: Of nearly 6.5 million urban population of Iran (according to the 1996 census) about 4 million individuals (2.55 million men and 1.4 million women) were eligible for statin therapy. With respect to the urban population growth from the 1996 to the 2011 census (about 2.5 percent increases) the number of individuals for receiving statin increased by 50% (5 million men and 3 million women). Also, the risk in non-diabetic men with calculated risk of 5-7.5% and diabetic women with calculated risk of <5% for hard CVD was lower than 0.2. By removing these people from total eligible population, the burden of statin therapy will reduced about 8% which is about 540.752 persons, according to the Census 1996 and 1.155.079 individuals based on the census 2011. Conclusion: The new guideline of ACC/AHA for statin therapy is relatively reasonable except for some subgroups. To reduce the burden of medical expenses, statin prescription can be ignored by physicians in these subgroups. Of course further research is required to calculate the net benefit for estimating the clinical usefulness of statin therapy in recommended guideline subgroups.

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Background: Staphylococcus aureus is the most important cause of nosocomial infections acquired in the community. Protein A is a major component of Staphylococcus aureus cell wall. In analysis of the nucleotide sequence Protein A encoding spa, locus x consists of 24 base pairs which repeat with high polymorphism. In this study, the spa gene of Staphylococcus aureus isolated from clinical specimens were obtained from patients admitted to the hospital and healthy carriers. Methods: In a cross-sectional study, a total of 200 samples were collected. One hundred fifty samples were obtained from hospitalized patients and 50 samples obtained from staff nasal swabs in Hamadan University Hospitals from October 2013 to August 2014. Disk diffusion antibiotic susceptibility tests performed. The antibiotics studied were Vancomycin (30 µg), Cefoxitin (15 µg) Gentamicin (10 µg), Tetracycline (30 µg), Trimethoprim/sulfamethoxazole (25 µg), Ciprofloxacin (5 µg), Erythromycin (15 µg), Clindamycin (2 µg), Rifampin (5 µg). The tests performed according to the guidelines of clinical and laboratory standards institute (CLSI). It also detect the mecA gene of Methicillin-resistant Staphylococcus aureus strains (MRSA) and genes spa which encodes the protein A by polymerase chain reaction (PCR). The PCR products using a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method with enzyme Rsa I (Afa I) were prepared. Results: This methicillin-resistant Staphylococcus aureus strain (MRSA) had the highest sensitivity and resistance to ciprofloxacin and clindamycin. Totally, 8 amplicon with different sizes for the spa gene were identified. A total of 9 patterns polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP) were found. Some of these patterns between Staphylococcus aureus isolated from clinical specimens and nasal carriers were common. Conclusion: There is a similar pattern of spa gene among patients admitted to the hospital and staff, according to our findings. Analysis of the patterns can reduced transmission of infection in both hospital staff and patients. Also it can help the physicians for correct management of infections.

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Despite the valuable results achieved in identification of genes and genetic changes associated with type 2 diabetes (T2D), lack of consistency and reproducibility of these results in different populations is one of the challenges lie ahead in introduction of T2D candidate genes. Therefore, the present review article aimed to provide an overview of the most important genes and genetic variations associated with development of T2D based on a systematic search in well-known genetic databases. For this purpose, the National Center for Biotechnology Information, Database of Genotypes and Phenotypes (NCBI dbGaP) and Human Genome Epidemiology Network (HuGENet) database were searched to find the most important genes associated with T2D. In addition, a gray literature search was conducted to collect any available information released by laboratories offering genetic tests such as deCODE genetics and 23andMe. Candidate genes were selected among the results of all databases based on the highest level of similarity. Subsequently, without any time restriction, PubMed, Scopus and Google scholar databases were searched using relevant Medical Subject Headings (MeSH) terms to access related articles. The relevant articles were screened to make a conclusion about the genes and genetic variations associated with T2D. The results revealed that four selected candidate genes, in order of importance, were TCF7L2, CDKAL1, KCNJ11, and FTO. The most significant single nucleotide polymorphism (SNP) associated with T2D in the TCF7L2 gene was rs7903146 however, the results showed a wide range of variation from slight association in the Amish (P= 5.0×10^-2) to strong association in European descent populations (P= 2.0×10^-51). Then, rs10440833 mapping to the intronic region of the CDKAL1 gene showed significant association with T2D (P= 2.0×10^-22). In the KCNJ11 gene, a missense variation (rs5215) in exon one was found to have the highest association with T2D compared with other SNPs discovered in this gene (P= 5.0×10^-11). Finally, rs8050136 located in the first intron of the FTO gene had the strongest association with T2D (P= 2.0×10^-17). On the basis of these results, it can be concluded that the current study can be introduced as a model for achieving well-documented results among spectrum of information available in genetic databases based on a systematic search strategy. The candidate genes and genetic variations presented in this review article might be applied for early diagnosis, prevention, and treatment of T2D.

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Background: Urinary tract infection is a common infectious disease in children and associated with the risk for renal scarring and long-term complications, usually consists of pyelonephritis and may cause complications such as scars in kidney, hypertension and renal failure. Some studies demonstrated association between urinary tract infection and electrolyte disturbances such as hyponatremia. The present study has been designed for assessment of association between urinary tract infection and hyponatremia in children.

Methods: This is a descriptive, cross-sectional study has been conducted on 120 children have referred to the Golestan Hospital, Ahvaz Jundishapur University of Medical Science from 21 March 2011 until 20 March 2013. A total of 120 children who were aged 6 months to 12 years and had febrile urinary tract infection. The study population and were classified into two group of sixty children: hyponatremic and nonhyponatremic. We compared the laboratory findings in two groups with each other. The data included serum sodiom level, white blood cell (WBC) count, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and ddimercaptosuccinic acid (DMSA) scan results collected from children with febrile urinary tract infections admitted in pediatric ward. Data analysis was performed using descriptive statistics, chi-square and independent T-test with SPSS software, ver. 20 (IBM, Armonk, NY, USA).

Results: In this study, 120 patients, 104 females (86.7%) and 16 males (13.3%) aged six months to 12 years were evaluated. All the patients were studied in terms of positive DMSA Scan. In the first group (hyponatremic) 31, and the second group (without hyponatremia) 13 patients were identified. There was a significant association between hyponatremia and WBC count, ESR, CRP, duration of fever and abnormal DMSA scan. Conclusion: We conclude that there is significant association between hyponatremia and severity of urinary tract infection in children.

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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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