Introduction Gestational diabetes mellitus (GDM) is a major contributor to adverse pregnancy outcomes both in the United States and globally. As the prevalence of obesity continues to rise, the incidence of GDM is anticipated to increase as well. Despite the significant impact of GDM on maternal and neonatal health, research examining the independent associations between GDM and adverse outcomes remains limited in the U.
View Article and Find Full Text PDFIntroduction: 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 pre-pregnancy obesity and adverse pregnancy outcomes.
Aim: To determine the association between increasing pre-pregnancy BMI and adverse pregnancy outcomes.
Introduction While mortality following primary cervical cancers (PCCs) continues to decline due to advancements in screening and treatment, a small subset of women who developed PCCs will develop second malignancies after their initial diagnosis. Little is known about these women. Objective This study aims to determine the common second malignancies among patients with primary cervical cancers and the factors associated with improved overall survival.
View Article and Find Full Text PDFIntroduction Although disparities in cancer survival exist across different races/ethnicity, the underlying factors are not fully understood. Aim To identify the interaction between race/ethnicity and insurance type and how this influences survival among non-Hodgkins lymphoma (NHL) patients. Methods We utilized the SEER (Surveillance, Epidemiology, and End Results) Registry to identify patients with a primary diagnosis of NHL from 2007 to 2015.
View Article and Find Full Text PDFObjective: The objective is to determine the association between maternal race/ethnicity, insurance, education level, and pregnancy outcomes.
Methods: We queried the U.S.
Objective To evaluate the demographic predictors of major depressive disorder (MDD) in hospitalized congestive heart failure (CHF) patients and measure the differences in hospital stay and cost per comorbidities and the associated risk of in-hospital mortality. Methods This retrospective cross-sectional study used nationwide inpatient data from the healthcare cost and utilization project (HCUP). We identified patients with CHF as the primary diagnosis and MDD as the secondary diagnosis using ICD-9-CM codes and compared with the CHF patient without MDD.
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