Study of pregnancy outcome in relation to first trimester body mass index

Background: Early pregnancy body mass index (BMI) plays an important role in pregnancy outcome. Women with either low or high BMI have an adverse pregnancy outcome. American college of obstetricians and gynecologists (ACOG) recommends calculation of BMI for all pregnant women at their first visit. This study was conducted to assess maternal and fetal outcome in women based on first trimester BMI.Methods: This was a prospective observational study conducted in Department of Obstetrics and Gynecology of T. S. Misra Medical college and hospital, Lucknow from January 2018 to January 2019. Patients with singleton pregnancy booked in first trimester were included while women with multiple pregnancy, pre-existing medical conditions were excluded from the study. Proper history taking and examination was done, and patients divided into five groups as per guidelines of WHO and National Institute of Health Guidelines. Patients were followed up during entire antenatal period. Any maternal and fetal complications were recorded.Results: Incidence of anemia and intrauterine growth restriction (IUGR) was seen more in underweight patients. Postpartum hemorrhage (PIH), gestational diabetes and macrosomia was associated more with patients who were overweight or obese. There was significantly more incidence of lower (uterine) segment caesarean section (LSCS), instrumental delivery, wound sepsis and PPH in patients with higher BMI. SGA babies were seen more in patients with low BMI while large for gestational age (LGA) babies were seen more in patients with high BMI. More neonatal intensive care unit (NICU) admissions were seen in patients with low or high BMI.Conclusions: Complications during pregnancy and adverse pregnancy and neonatal complication was seen significantly more in patients on either side of BMI (underweight and obese). Hence it can be concluded that BMI of a patient directly affects pregnancy outcome.

Comparative study of laparoscopic ovarian drilling and medical treatment in polycystic ovarian disease

Background: To evaluate the result after medical treatment and laparoscopic ovarian drilling in PCOS patients and to compare the results of these two methods.Methods: In this prospective study 50 women with polycystic ovarian disease, were divided into two group,25 women received medical treatment and 25 women received surgical (laparoscopic ovarian drilling) treatment. Effect of treatment on ovulation, menstruation, fertility and androgen level was determined 3 month after therapy.Results: There was significant increase in ovulation and fertility, decrease in androgen levels and decrease in LH/FSH in individual groups when compared with pretreatment levels but difference between groups A and B was not statistically significant for these parameters.Conclusions: Medical treatment and laparoscopic ovarian drilling are equally effective in treating the women of polycystic ovarian disease. Result of both the treatment are similar in this study. However medical treatment should be the first line therapy, it has significant benefit for use in OPD, low cost, no hospital stays and convenience to the patient.

Insilico microarray analysis for helicobacter pylori using gene expression data.

Helicobacter pylori is a Gram-negative, microaerophilic bacterium that inhibits various areas of the stomach and duodenum. It causes a chronic low-level inflammation of the stomach lining and is strongly linked to the development of duodenal and gastric ulcers and stomach cancer. To better understand adaptive mechanisms utilized by H.pylori within the context of the host environment, spotted-DNA microarrays was utilized to characterize in a temporal manner, the global changes in gene expression in response to low pH in the pathogenic H. pylori strain G27. Raw data of this microarray work was available in Stanford Microarray Database. Co-regulated genes may share similar expression profiles, may be involved in related functions or regulated by common regulatory elements. There are different approaches to analyse the large-scale gene expression data in which the essence is to identify gene clusters. This approach has allowed us to (i) determine expression profiles of previously described developmentally regulated genes, (ii) identify novel developmentally regulated genes. The Helicobacter pylori is an important human and veterinary pathogen. In this work raw data of Helicobacter pylori is used as a sample to find out the coexpressed gene.