BackgroundIn this study, we explored the interaction between women's race/ethnicity and insurance type and determined how these interactions affect the incidences of cesarean section (CS) among women with gestational diabetes mellitus (GDM). MethodologyWe utilized the National Inpatient Sample (NIS) database from January 2000 to September 2015 to conduct a retrospective analysis of all GDM-associated hospitalizations. We then explored the interaction between race/ethnicity and insurance types and determined how these interactions affect the incidences of CS among GDM patients, controlling for traditional risk factors for CS and patients' sociodemographics. Subsequently, we determined the risk of primary postpartum hemorrhage (PPH) in the CS group and a propensity scorematched control group who had vaginal deliveries. ResultsThere were 932,431 deliveries diagnosed with GDM in the NIS database from January 2000 to September 2015. The mean age of the study population was 30.6 ± 5.9 years, 44.5% were white, 14.0% were black, and 26.7% were Hispanic. The CS rate was 40.5%. After controlling for covariates, women who utilized private insurance had the highest CS rate across the different races/ethnicities; white (odds ratio (OR) = 1.21 (1.17-1.25)) blacks )), and Hispanic (OR = 1.12 (1.06-1.18)). CS patients were less likely to develop PPH compared to their matched controls with vaginal deliveries (OR = 0.67 (0.63-0.71)). ConclusionsPrivate insurance is associated with higher incidences of CS among women with GDM, irrespective of race/ethnicity.

Coronavirus disease (COVID-19), caused by SARS-CoV-2, is a disease that has caused a global impact. COVID-19 is transmitted through airborne droplets, respiratory secretions, and direct contact. The pandemic has affected individuals of different ages, and studying the impact of COVID-19 on maternal and newborn outcomes is critical. In this review, we highlight the impact of COVID-19 infection in pregnancy and its repercussion in the maternal-fetal binomial. Physiological changes that occur during pregnancy have significant effects on the immune system, cardiopulmonary system, and coagulation, and these changes can result in an altered response to COVID-19 infection. The symptoms, risk factors, and maternal health consequences of COVID-19 were discussed. In addition, the impact of newborns born to mothers with COVID-19 was reviewed. Finally, placental changes and vertical transmission of COVID-19 during pregnancy were also discussed in this review.

Introduction: As many Americans are becoming overweight or obese, increased body mass index (BMI) is fast becoming normalized. There is a need for more research that highlights the association between prepregnancy obesity and adverse pregnancy outcomes.Aim: To determine the association between increasing pre-pregnancy BMI and adverse pregnancy outcomes.Methods: We utilized the United States Vital Statistics records to collate data on all childbirths in the United States between 2015 and 2019. We determined the association between increasing pre-pregnancy BMI and adverse pregnancy outcomes using multivariate analysis. Neonatal outcomes measures include the fiveminute Apgar score, neonatal unit admission, neonates receiving assisted ventilation > six hours, neonatal antibiotics use, and neonatal seizures. Maternal outcomes include cesarean section rate, mothers requiring blood transfusion, unplanned hysterectomy, and intensive care unit admission. In addition, we controlled for maternal parameters such as race/ethnicity, age, insurance type, and pre-existing conditions such as chronic hypertension and prediabetes. Other covariates include paternal race, age and education level, gestational diabetes mellitus, induction of labor, weight gain during pregnancy, gestational age at delivery, and delivery weight.Results: We studied 15,627,572 deliveries in the US Vital Statistics records between 2015 and 2019. Among these women, 3.36% were underweight, 43.19% were with a normal BMI, 26.34% were overweight, 14.73% were in the obese class I, 7.23% were in the obese class II, and 5.14% were in the obese class III. Increasing pre-pregnancy BMI was associated with significant adverse outcomes across all measures of maternal and neonatal outcomes. Conclusion:A strong association exists between increasing pre-pregnancy BMI and adverse maternal and neonatal outcomes. The higher risk of adverse pregnancy outcomes among overweight and obese women remained even after controlling for other traditional risk factors of adverse maternal and neonatal outcomes.

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Introduction Obesity is a global health concern, with the prevalence increasing worldwide. In the USA, the prevalence increased from 30.5% to 42.4% among adults from 2000-2018, while in Nigeria, 14.3% of adults were obese in 2020. The rising prevalence of obesity is associated with an increased risk of chronic medical conditions and their complications, leading to increased morbidity, mortality, and healthcare costs. Obesity is no longer solely an adult problem; it now affects children and adolescents. This study aims to compare the impact of obesity on academic performance among college students in the United States and Nigeria. Method This was a cross-sectional study that recruited randomly selected students of Western Illinois University (WIU), Macomb, IL, USA, between August 15, 2019, and December 15, 2019, and Afe Babalola University (ABUAD), Ado-Ekiti, Nigeria, between June 2020 and July 2020. The primary aim was to compare academic performance measured by the cumulative grade point average (CGPA) between obese and propensity score-matched controls with normal body mass index (BMI) in the two colleges. In addition, in the two colleges, students were matched for age, gender, race/ethnicity, and level of schooling. Results A total of 709 and 405 students from WIU and ABUAD were included in the study. Females constituted the majority of students in both schools. The prevalence of obesity was higher among WIU students (30.30%) than ABUAD students (10.62%). The WIU study showed no significant difference in mean CGPA between the obese and matched controls (3.70 ± 0.17 versus 3.73 ± 0.17, p=0.19). Similarly, in the ABUAD study, there was no significant difference in mean CGPA between obese and matched controls (4.05± 0.61 versus 4.19± 0.62, p=0.21). Conclusion In conclusion, our study suggests that obesity does not significantly influence academic performance among college students in the United States and Nigeria. Thus, it is unlikely that obesity alone is a predictor of poor academic performance. Instead, other factors may be responsible for any observed academic performance differences between obese and non-obese students in tertiary institutions.

Background: With 42% of adult Americans obese and 2/3rd of Americans overweight or obese, increased body mass index (BMI) is fast becoming normalized. There is a need to continue highlighting the association between pre-pregnancy obesity and adverse pregnancy outcomes in the country. The aim of the present study is to determine the association between increasing pre-pregnancy BMI and pregnancy outcomes.Methods: We utilized the United States Vital Statistics records to collate data on all childbirths in the United States between 2015 and 2019. We determined the association between increasing pre-pregnancy BMI and adverse pregnancy outcomes using multivariate analysis. Neonatal outcomes measures include the 5-min Apgar score, neonatal unit admission, neonates receiving assisted ventilation > 6 hours, neonatal antibiotics use, and neonatal seizures. Maternal outcomes include cesarean section rate, mothers requiring blood transfusion, unplanned hysterectomy, and intensive care unit admission. In addition, we controlled for maternal parameters such as race/ethnicity, age, insurance type, and preexisting conditions such as chronic hypertension, and prediabetes. Other covariates include paternal race, age and education level, gestational diabetes mellitus (GDM), induction of labor, weight gain during pregnancy, gestational age at delivery, and delivery weight. Results: We studied 15 627 572 deliveries in the US vital statistics records between 2015 and 2019. Among these women, 3.36% were underweight, 43.19% were with a normal BMI, 26.34% were overweight, 14.73% were in the obese class I, 7.23% were in the obese class II, and 5.14% in the obese class III. Increasing pre-pregnancy BMI was associated with significant adverse outcomes across all measures of maternal and neonatal outcomes. Conclusion: Increasing pre-pregnancy body mass index is associated with significant adverse pregnancy outcomes. Since pre-pregnancy BMI is a modifiable risk, women should be encouraged to lose weight before pregnancy to improve pregnancy outcomes.

Solid cystic hidradenoma, or clear cell hidradenoma, is a distinct and histologically rare tumor formed at the sweat glands, found mainly in adults and majorly among women. In this case, a 26-year-old female presented with asymptomatic swelling in her left inguinal area. Similar cases have been discussed in the literature considering the same kind of tumor. The present case is reported owing to the rarity of the type of tumor in terms of size and region of occurrence with the associated condition of pregnancy.