Effect of predictive value of progesterone level on the day of HCG injection for IVF success in women with infertility due to tubal factor or polycystic ovarian syndrome referred to the women hospital, Tehran, 2009

Background: Polycystic ovarian syndrome is one of the most common causes of endocrine disorders and main reason of infertility due to anovulation and recurrent abortions. Progesterone has been shown to have an important role in fertilization of oocyte and fetal implantation. Objective: The purpose of this study was to compare the predictive value of progesterone level on IVF success in women with infertility due to tubal factor or PCOS. Materials and Methods: In a stratified cohort study, we assigned 76 infertile women of 20-38 years old who referred to women hospital into two equal groups with fallopian tube factor infertility and PCOS. We measured the plasma levels of progesterone and estradiol on the day of HCG administration. The patients were divided into two groups based on progesterone level cut off point of 1.2ng/ml. Thereafter the incidence of pregnancy (chemical by β-HCG measurement and clinical by ultrasonography up to the 6 weeks after fetal transfer) was compared in these groups. Results: Total pregnancy rates were 15.8% in patients with tubal factor infertility and 26.3% in women with PCOS. In women with PCOS, the pregnancy rate was less in patients with progesterone level <1.2 ng/ml. However this difference was not statistically significant. Likewise, we did not observe any significant differences in pregnancy rate in patients with fallopian tube factor infertility. Conclusion: Serum progesterone level on the day of HCG administration is not well predictive of the IVF success in infertile women due to fallopian tube factor or PCOS. To obtain more uniform results, we recommend use of larger samples while the bias variable is taken into account and the ROC curve is used for determination of the unique serum progesterone level

Importance of sex and gender factors for COVID-19 infection and hospitalisation: a sex-stratified analysis using machine learning in UK Biobank data

Objective: To examine sex and gender roles in COVID-19 test positivity and hospitalisation in sex-stratified predictive models using machine learning. Design: Cross-sectional study. Setting: UK Biobank prospective cohort. Participants: Participants tested between 16 March 2020 and 18 May 2020 were analysed. Main outcome measures: The endpoints of the study were COVID-19 test positivity and hospitalisation. Forty-two individuals' demographics, psychosocial factors and comorbidities were used as likely determinants of outcomes. Gradient boosting machine was used for building prediction models. Results: Of 4510 individuals tested (51.2% female, mean age=68.5±8.9 years), 29.4% tested positive. Males were more likely to be positive than females (31.6% vs 27.3%, p=0.001). In females, living in more deprived areas, lower income, increased low-density lipoprotein (LDL) to high-density lipoprotein (HDL) ratio, working night shifts and living with a greater number of family members were associated with a higher likelihood of COVID-19 positive test. While in males, greater body mass index and LDL to HDL ratio were the factors associated with a positive test. Older age and adverse cardiometabolic characteristics were the most prominent variables associated with hospitalisation of test-positive patients in both overall and sex-stratified models. Conclusion: High-risk jobs, crowded living arrangements and living in deprived areas were associated with increased COVID-19 infection in females, while high-risk cardiometabolic characteristics were more influential in males. Gender-related factors have a greater impact on females; hence, they should be considered in identifying priority groups for COVID-19 infection vaccination campaigns

Relative frequency of human papillomavirus genotypes and related sociodemographic characteristics in women referred to a general hospital in Tehran, 2014- 2015: A cross-sectional study

Background: Human papilloma virus (HPV) is one of the major public health problems and the main causes of cervical cancer. The prevalence HPV infection in developing countries with low financial resources is high. Objective: This study aimed to determine the relative frequency of HPV genotypes and its sociodemographic characteristics in women referred to a general hospital in Tehran, Iran from 2014-2015. Materials and Methods: This cross-sectional study was performed in 400 women with Pap smear samples, referring to to a general hospital in Tehran, Iran from 2014- 2015. The detection of 28 HPV genotypes was performed by using the Multiplex PCR technique. The sociodemographic survey was conducted for each HPV positive woman. Results: HPV-positive infection was detected in 155 (38.75%) women aged 17-85 years. HPV 16 (19.1%) was the most prevalent type, followed by HPV 39 (12.5%) and HPV 18 (8.9%). The highest rate of HPV infection was observed at the age of 36 years (7.7%). The level of education and economic situation of each woman were showed most of HPV-positive women had a high school diploma (34.6%) and average economic situation (67,9%). 60.9% of these women were a housewife, and 67.3% lived in the capital . Conclusion: Determination of HPV genotype and risk factor related to HPV infection in each geographical region can lead to the production of effective vaccines against the HPV virus. It can also be useful for disease management and high sensitivity diagnosis of cervical intraepithelial neoplasi