Is corneal sensitivity sex dependent?

Purpose: To determine whether corneal sensitivity is different between the two genders. Methods: Corneal sensitivity of 130 normal volunteers, including 77 women and 53 men aged 20-35 years, with no history of previous ocular surgery was measured using the Cochet-Bonnet esthesiometer. Measurements were done on five corneal regions: central, nasal, inferior, temporal and superior. The findings were compared between men and women using the non-parametric Mann-Whitney U test. Results: Mean age of male subjects was 28.0 years and that of female participants was 26.8 years (P = 0.063). There was a significant difference in corneal sensitivity between men and women in the superior (P = 0.013), temporal (P = 0.020) and inferior (P = 0.046) regions. There was no significant difference in corneal sensitivity in the central (P = 0.862) and nasal (P = 0.273) regions. Conclusion: Except for the central and nasal regions, corneal sensitivity is significantly higher in men as compared to women. The reason for this difference is not yet evident. © 2015 Journal of Ophthalmic and Vision Research

The Relationship Between Maternal Passive Smoking During Pregnancy and Preterm Delivery

Background: Maternal passive smoking or exposure to environmental tobacco smoke may be a risk factor for maternal and newborn morbidity. Objectives: The current study aimed to assess the relationship between preterm delivery and tobacco smoke exposure in pregnant woman referring to the Shabih-Khani maternity hospital in Kashan, Iran. Patients and Methods: An analytical retrospective cohort study was conducted on 300 non-smoker pregnant women in two groups of passive smoking and non- passive smoking. Passive smoking was defined as exposed to smoking of 5 or more cigarettes per day during pregnancy at home. Preterm delivery compared between passive smoking and non-passive smoking groups. Results: Preterm delivery in the passive smoking group was more than non-passive smoking group (10% versus 6%, P = 0.2), this difference was not significant. Gestational age was similar in the two groups (38.96 ± 1.56 and 38.99 ± 1.42 weeks in the passive and non-passive smoking groups respectively). Conclusions: Preterm delivery in the exposed group was more than non-exposed group, but difference was not significant

Association analysis of rs1049255 and rs4673 transitions in p22phox gene with coronary artery disease: A case-control study and a computational analysis

Background The p22phox gene encodes the main subunit of NADH/NADPH-oxidase. This enzyme is expressed in smooth muscle cells of arteries, and it produces the reactive oxygen species. On the other hand, oxidative stress plays a main role in the pathogenesis of coronary artery disease (CAD). Aim The aim of this study is to evaluate the association between rs4673 and rs1049255 polymorphisms of p22phox gene with CAD in an Iranian population which was followed with a computational analysis approach. Methods In a cross-sectional study, we collected blood samples of 302 Iranian Caucasian including 143 patients and 159 healthy controls. Genotype of the polymorphisms was detected through PCR-RFLP method. A computational analysis was also performed using SNAP, Polyphen-2, Chou-Fasman, RNAsnp, and miRNA SNP databases. Results Data of case control study demonstrated that CT genotype (R = 1.84, 95% CI = 1.13–3.00, p = 0.014) and T allele (OR = 1.53, 95% CI = 1.09–2.15, p = 0.013) of rs4673 polymorphism, have a significant association with enhanced risk of CAD. But rs1049255 analysis demonstrated the absence of such an association with CAD. Indeed, in silico data analysis demonstrated that rs4673 transition could impact on function of p22phox protein (SNAP score 56, expected accuracy 75%; Polyphen-2 score 0.99, sensitivity 0.09, specificity 0.99). Data derived from miRNA SNP database demonstrated that rs1049255 polymorphism increases the affinity of attachment between has-miR-3689a-3b with 3′-UTR of p22phox gene. Conclusion Our data demonstrated that rs4673 transition may be involved in susceptibility to CAD and could be applied as a potential biomarker for this disease

Motion correction of SPEC projection before reconstruction

In Single Photon Emission Computed Tomography (SPECT), the data acquisition occurs over a relatively long time, typically in the range of 5-30 minutes. During this period, the patient must lie still to guarantee the image quality. Nevertheless, patient movement has frequently been reported in clinical applications. This movement causes misalignment of the projection frames, which degrades the reconstructed image and may introduce artifacts. However, the ability to detect and correct for the motion using a computational method is valuable for quality assurance of SPECT imaging. In this work a correlation function based on Linogram and Sinogram of the projection is evaluated in order to estimate the occurred motion and correct it for the best alignment. By our implemented method the motion artifacts of our cases reduced considerably and our results showed that the misalignment (motion) between the projections could be found with a small error depending on the resolution of the images (pixel size), and the time and duration of the applied motion during the course of projection acquisition

Prevalence and Severity of Menopausal Symptoms and Related Factors Among Women 40-60 Years in Kashan, Iran

Background: Menopause is a unique event in a woman’s life which has many symptoms. Frequency and severity of these symptoms vary, and they are based on the woman’s epidemiological characteristics. Objectives: The aim of this study was to determine the prevalence and severity of menopausal symptoms and related factors among women, 40-60 years in Kashan, Iran. Patients and Methods: In this cross-sectional study, 700 menopausal women in Kashan City were selected using cluster sampling. Data were collected by the Menopause Quality of Life Questionnaire (MENQOL). In addition, demographic variables including; current age, age of menarche and menopause, marital status, educational level, working status and exercise activity levels, were recorded. Data were analyzed using SPSS software version 16 and socio-demographic characteristics were compared using a chi-square test. A P value < 0.05 was considered significant. Results: The most common symptoms in; vasomotor, psychosocial, physical and sexual domains were; ‘night sweats’, ‘accomplishing less than I used to’, ‘feeling a lack of energy’, and ‘change in sexual desire’, respectively. Moreover, the most severe symptoms in these domains were; ‘night sweats’, ‘feeling anxious or nervous’, ‘aching muscles or joints’, and ‘avoiding intimacy’. There was a statistically significant difference between; the severity of menopausal symptoms and working status (P = 0.017), different educational levels (P = 0.001), exercise activity (P = 0.001), exercise frequency (P = 0.04), and duration of menopause (P = 0.03). Conclusions: The prevalence of menopausal symptoms in our population is similar to most other communities. Employment, higher educational levels, doing physical activity and duration of menopause of more than five years is associated with milder menopausal symptoms

Evaluation of Classifiers in Software Fault-Proneness Prediction

Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible to judge the software reliability. In predicting software fault-prone modules, one of the contributing features is software metric by which one can classify software modules into fault-prone and non-fault-prone ones. To make such a classification, we investigated into 17 classifier methods whose features (attributes) are software metrics (39 metrics) and instances (software modules) of mining are instances of 13 datasets reported by NASA. However, there are two important issues influencing our prediction accuracy when we use data mining methods: (1) selecting the best/most influent features (i.e. software metrics) when there is a wide diversity of them and (2) instance sampling in order to balance the imbalanced instances of mining; we have two imbalanced classes when the classifier biases towards the majority class. Based on the feature selection and instance sampling, we considered 4 scenarios in appraisal of 17 classifier methods to predict software fault-prone modules. To select features, we used Correlation-based Feature Selection (CFS) and to sample instances we did Synthetic Minority Oversampling Technique (SMOTE). Empirical results showed that suitable sampling software modules significantly influences on accuracy of predicting software reliability but metric selection has not considerable effect on the prediction

Causes of eye trauma among patients referred to Khalili Hospital emergency Department, Shiraz, 1998

This descriptive-analytical study was performed on 4732 patients referred to the emergency department of Khalili Hospital in Shiraz over a 4-month period in 1998. Data was collected by interview and medical examination. Our results showed that 97.5% of the cases were outpatients and the rest were hospitalized. Most of the patients were male (79.7%). The average age of the outpatients was 24.5±14.9 and that of the in-patients was 15.5±14.9 years. The majority of the in-patients were children (70.7%), from them 46.4% had injuries at home and 56.1% were injured while playing. The most common causes of trauma in outpatients were chemical or biological agents and ultraviolet radiation (41.4%) and in-patients were projectile objects (63.7%). Patients with sever injuries were hospitalized for an average of 8.4 days. 51.2% of the operations were performed on cornea, conjunctiva and sclera and an average of 2.1 operations were performed on each eye. The annual incidence of ocular trauma in Shiraz and surrounding area was 1315 per 100000 outpatients and 24.4 per 100000 in-patients. Our data showed that children due to ignorance and adults during works are more prone to eye trauma, and implementing appropriate protective measures could be effective in preventing many eye injuries

Diagnostic Accuracy of Sixty Four Multi-Slice CT Angiography in Assessment of Arterial Cut-Off and Run-Off in Comparison with Surgical Findings

Background/Objective: The accurate anatomic mapping and determination of the severity of arterial disease, an important health problem of the elderly, is of great significance. We aimed to determine the diagnostic value of 64-multislice CT angiography (MSCTA) in run-off and cut-off sites of arterial disease. Patients and Methods: Throughout the study, MSCTA followed by an operative intervention was carried out on a total of 38 patients with clinical signs and symptoms suggestive of arterial disease (AD) all of whom had the indication for vascular surgery. The mean age of patients was 34±15.86 (range, 23 to 93) years. MSCTA was executed using a 64-slice CT scanner, during the arterial phase of injecting the nonionic, contrast medium with a power injector at the rate of 5 ml/sec into the antecubital vein and exploration and revascularization of peripheral arterial disease was performed intraoperatively. Results: Atherosclerosis and arterial disease, the most common causes of vascular occlusion, were more common in the lower extremities. According to MSCTA findings, the most frequent site of stenosis was the superficial femoral artery. Spearman’s correlation coefficient showed a high degree of agreement amongst the raters. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and the accuracy of MSCTA compared to surgery were 83.8%, 96%, 96.8%, 81.3% and 89%, respectively. MSCTA findings were compared with surgery as a standard of reference, which showed concordance in the majority of cases (81.6%). Cut-off sites were correctly identified by MSCTA in 97.3% of the patients and the most common sites of discordance were the run-off sites (18.2%). Conclusion: MSCTA angiography as a novel diagnostic modality may be a suitable alternative and a viable choice for routine clinical diagnosis

Relationship Between Quality of Life and Depression in Pregnant Women

Background: Quality of life differs for different people in different situations and is related to one's self-satisfaction with life. Quality of life is affected by health status. Objectives: The current study examined the relationship between quality of life and depression in pregnant women in Kashan city. Patients and Methods: A Case - control study was performed on 112 depressed pregnant women (Case Group) and 353 Non-depressed pregnant women (Control Group) who referred to the prenatal health care centers of Kashan University of Medical Sciences .They completed Short Form 36 Health Survey (SF-36) to assess the quality of life and the Beck Depression Inventory to assess the level of depressive symptoms. T-test, chi-square and Pearson correlation coefficient statistical tests were used for data analysis. Results: The findings showed that there was an inverse relationship between quality of life and depression in pregnancy (P = 0.0001). Average scores in all eight domains of quality of life were significantly lower in depressed pregnant women compared to non- depressed women. The strongest relationship was observed between depression and vitality (r =-0.52, P = 0.0001), mental health (r = -0.50, P = 0.001) and social functioning (r =-0.38, P = 0.001). Conclusion: Depressed pregnant women had a lower quality of life. The proper management of depression during pregnancy can improve the quality of life in women. It is recommended that antenatal services integrate screening for depression into routine antenatal care

Shearfree perfect fluids with solenoidal magnetic curvature and a gamma-law equation of state

We show that shearfree perfect fluids obeying an equation of state p=(gamma -1) mu are non-rotating or non-expanding under the assumption that the spatial divergence of the magnetic part of the Weyl tensor is zero.Comment: 11 page