Exploring the Relationship Between Community-Level Economic Deprivation and HIV Infection Among Hospital Admissions in Washington, DC.

Introduction Human immunodeficiency virus (HIV) infection is a significant health concern in the United States, affecting 38 million Americans. Despite a recent decline in prevalence, social determinants of health remain an important factor driving infections, particularly among minority populations. However, the relationship between community-level economic deprivation indices and HIV infection among hospital admissions has been understudied in the literature. Objectives This study investigated the association between community-level economic deprivation, measured by the Distressed Community Index (DCI), and HIV infection among hospital admissions in Washington, District of Columbia (DC). Methods We utilized data from the State Inpatient Database (SID) for Washington, DC, between 2016 and 2019, identifying all admissions with a history of HIV. The multivariate analysis determined the association between DCI quintiles and HIV infection among hospital admissions. Also included in the multivariate analysis were patients' age, sex, race/ethnicity, insurance type, smoking status, obesity, sexually transmitted infections (STIs), hepatitis B infections, and mental health conditions. Results Of the 213,682 admissions captured in the DCI quintiles, 67.4% were Black, 17.2% were White, and 10.7% were Hispanic. The prevalence of HIV infection in the study population was 4.4%. There was a statistically significant association between the DCI quintiles and HIV infection among hospital admissions. The residents of the richest neighborhoods defined as prosperous quintile (also the reference group) had the lowest odds of HIV infections compared to the other quintiles (comfortable, odds ratio {OR}=1.94 and 95% confidence interval {CI}=1.38-2.74; mid-tier, OR=1.49 and 95% CI=1.04-2.14; at risk, OR=1.75 and 95% CI=1.22-2.49; and distressed, OR=1.97 and 95% CI=1.38-2.82). Other significant predictors of HIV infection were Black race (OR=1.82; 95% CI=1.41-2.33), age between 45 and 65 years (OR=1.55; 95% CI=1.32-1.80), male sex (OR=1.58; 95% CI=1.40-1.77), and depression (OR=1.21; 95% CI=1.03-1.43). Conclusion This study reveals a significant association between increased levels of economic distress and the prevalence of HIV among hospital admissions in Washington, DC. Our findings emphasize the importance of taking social determinants of health into account when addressing HIV prevention and management. Implementing targeted interventions and resources in economically distressed communities may be crucial for reducing HIV prevalence and improving health outcomes for affected populations.

Disparities in Incidences of Cesarean Section Among Women With Gestational Diabetes Mellitus in the United States.

Background In 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). Methodology We 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 score-matched control group who had vaginal deliveries. Results There 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 (OR = 1.33 (1.26-1.41)), 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)). Conclusions Private insurance is associated with higher incidences of CS among women with GDM, irrespective of race/ethnicity.

Second Malignancies Following Primary Cervical Cancer Diagnosis: Analysis of the SEER Database.

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. Methodology We conducted a retrospective analysis of all PCCs in the SEER database between 1975 and 2016. We identified a subset of patients who subsequently developed secondary malignancies after a primary cervical cancer diagnosis. We then determined the factors associated with a prolonged latency interval, defined as the time between the PCC diagnosis and a subsequent secondary malignancy diagnosis. In a sub-analysis, we also determined the commonest secondary malignancies following a PCC diagnosis. Results A total of 1,494 patients with cervical cancers developed a second malignancy during the study period. The mean age at diagnosis of the PCCs was 56.0 ± 14.0 years. The mean latency interval between PCC and a subsequent secondary malignancy was 9.6 ± 9.3 years. Cytoreductive surgery (odds ratio (OR) = 1.40; 95% confidence interval (CI) = 1.05-1.86) and radiotherapy (OR = 1.52; 95% CI = 1.14-2.03) during the PCC are associated with a prolonged latency interval. Patients who received chemotherapy (OR = 0.23; 95% CI = 0.16-0.33) or those of Hispanic ethnicity (OR = 0.63; 95% CI = 0.44-0.90) were more likely to develop second malignancies within 10 years after a PCC diagnosis. The most common second malignancies were abdominal malignancies with rectal cancers (12.2%), pancreatic cancers (10.1%), stomach cancers (9.2%), cecum cancers (8.4%), and sigmoid colon cancers (8.3%). Conclusion There is a significant association between Hispanic ethnicity and a shorter latency interval among patients with PCC. The findings from this study may help optimize screening for secondary cancers among cervical cancer survivors.

Racial Disparities in Survival Among Non-Hodgkin Lymphoma Patients: An Analysis of the SEER Database (2007-2015).

Introduction 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. Our primary outcome of interest was the hazard of death following a diagnosis of NHL. In addition, we utilized the Cox regression model to explore the interaction between race and insurance type and how this influences survival among NHL patients. Results There were 44,609 patients with NHL who fulfilled the study criteria. The mean age at diagnosis was 50.9 ± 10.8 years, with a mean survival of 49.8± 34.5 months. Among these patients, 64.8% were non-Hispanic Whites, 16% were Hispanics, and 10.8% were Blacks. In addition, 76.5% of the study population had private insurance, 16.6% had public insurance, and 6.9% were uninsured. Blacks had the worst survival (HR=1.66; 95% = 1.55-1.78). Patients on private insurance had better survival compared to those with public insurance (HR=2.11; 95% CI=2.00-2.24) Conclusion The racial and socioeconomic disparity in survival outcomes among patients with NHL persisted despite controlling for treatment modalities, age, and disease stage.

Interaction of Maternal Race/Ethnicity, Insurance, and Education Level on Pregnancy Outcomes: A Retrospective Analysis of the United States Vital Statistics Records.

OBJECTIVE: The objective is to determine the association between maternal race/ethnicity, insurance, education level, and pregnancy outcomes. METHODS: We queried the U.S. vital statistics records from 2015 to 2019 to analyze all deliveries. Using a multivariate analysis model, we determined the interaction between maternal race, insurance, education, and pregnancy outcomes. The outcome measures were the 5-min Apgar score, neonatal unit admission, neonates receiving assisted ventilation > 6 hours, mothers requiring blood transfusion, and the intensive care unit admission. RESULT: There were 13,213,732 deliveries that met our inclusion criteria. In the study population, 52.7% were white, 14.1% blacks, 22.9% Hispanics, and 10.4% belonged to other races. 37.5% of the women had a high school education, 49.1% had a college education, and 12.3% had advanced degrees. Black mothers with high school education were more likely to require blood transfusion following delivery than Whites at the same education level, OR=1.08 (95% CI 1.05-1.11, p < 0.05). They were also more likely to be admitted into intensive care. The difference only disappeared among blacks with advanced education (OR=1.0; 95% CI 0.89-1.12, p > 0.05). Across all races/ethnicities, private insurance and advanced education were associated with better pregnancy outcomes. CONCLUSION: In the U.S., women with high socioeconomic status have better pregnancy outcomes across all races/ethnicities.