Impact of the Affordable Care Act on Revascularization Versus Amputation in Patients Presenting With Chronic Limb-Threatening Ischemia in Maryland.

INTRODUCTION: The Affordable Care Act (ACA) aimed to expand Medicaid, enhance health care quality and efficiency, and address health disparities. These goals have potentially influenced medical care, notably revascularization rates in patients presenting with chronic limb-threatening ischemia (CLTI). This study examines the effect of the ACA on revascularization vs amputation rates in patients presenting with CTLI in Maryland. METHODS: This was a retrospective analysis of the Maryland State Inpatient Database comparing the rate of revascularization to rate of major amputation in patients presenting with CLTI over 2 periods: pre-ACA (2007-2009) and post-ACA (2018-2020). In this study, we included patients presenting with CLTI and underwent a major amputation or revascularization during that same admission. Using regression analysis, we estimated the odds of revascularization vs amputation pre- and post-ACA implementation, adjusting for pertinent variables. RESULT: During the study period, 12,131 CLTI patients were treated. Post-ACA, revascularization rate increased from 43.9% to 77.4% among patients presenting with CLTI. This was associated with a concomitant decrease in the proportion of CLTI patients undergoing major amputation from 56.1% to 22.6%. In the multivariate analysis, there was a 4-fold odds of revascularization among patients with CLTI compared to amputation (OR = 4.73, 95% CI 4.34-5.16) post-ACA. This pattern was seen across all insurance groups. CONCLUSION: The post-ACA period in Maryland was associated with an increased revascularization rate for patients presenting with CLTI with overall benefits across all insurance types.

Race, Insurance, and Socioeconomic Influences on Outcomes Following Roux-En-Y Gastric Bypass.

The effectiveness of Roux-en-Y gastric bypass (RYGB) might be shadowed by disparities in outcomes related to patient race and insurance type. We determine the influence of patient race/ethnicity and insurance types on complications following RYGB. We performed a retrospective analysis using data sourced from the National Inpatient Sample Database (2010 to 2019). A multivariate analysis was employed to determine the relationship between patient race/ethnicity and insurance type on RYGB complications. The analysis determined the interaction between race/ethnicity and insurance type on RYGB outcomes. We analyzed 277714 patients who underwent RYGB. Most of these patients were White (64.5%) and female (77.3%), with a median age of 46 years (IQR 36-55). Medicaid beneficiaries displayed less favorable outcomes than those under private insurance: Extended hospital stay (OR = 1.68; 95% CI 1.58-1.78), GIT Leak (OR = 1.83; 95% CI 1.35-2.47), postoperative wound infection (OR = 1.88; 95% CI 1.38-2.55), and in-hospital mortality (OR = 2.74; 95% CI 1.90-3.95).

Impact of Medicaid expansion on pregnancy outcomes among women with gestational diabetes.

INTRODUCTION: The Affordable Care Act (ACA) aims to broaden health care access and significantly impacts obstetric practices. Yet, its effect on maternal and neonatal outcomes among women with gestational diabetes across diverse demographics is underexplored. OBJECTIVE: This study examines the impact of the implementation of the ACA on maternal and neonatal health in Maryland with ACA implementation and Georgia without ACA implementation. METHODOLOGY: We used data from the Maryland State Inpatient Database and US Vital Statistics System to assess the ACA's influence on maternal and neonatal outcomes in Maryland, with Georgia serving as a nonexpansion control state. Outcomes compared include cesarean section (CS) rates, low Apgar scores, neonatal intensive care unit (NICU) admissions, and assisted ventilation 7 h postdelivery. We adjusted for factors including women's age, race, insurance type, preexisting conditions, prior CS, prepregnancy obesity, weight gain during pregnancy, birth weight, labor events, and antenatal practices. RESULTS: The study included 52 479 women: 55.8% from Georgia and 44.2% from Maryland. Post-ACA, CS rates were 45.1% in Maryland versus 48.2% in Georgia (P = 0.000). Maryland demonstrated better outcomes, including lower rates of low Agar scores (odds ratio [OR], 0.74 [95% confidence interval (CI), 0.63-0.86]), assisted ventilation (OR, 0.79 [95% CI, 0.71-0.82]), and NICU admissions (OR, 0.76 [95% CI, 0.71-0.82]), but no significant change in CS rates (OR, 0.96 [95% CI, 0.92-1.01]). CONCLUSION: After ACA implementation, Maryland showed improved maternal and neonatal outcomes compared with Georgia, a nonexpansion state.

The association between community-level economic deprivation and incidences of emergency department visits on account of attempted suicides in Maryland.

Background: Suicide is a major cause of mortality in the United States, accounting for 14.5 deaths per 100,000 population. Many emergency department (ED) visits in the United States are due to attempted suicides. Suicide attempts predict subsequent completed suicides. Socioeconomic factors, such as community-level socioeconomic deprivation, significantly affect many traditional risk factors for attempted suicides and suicides. Aim: To determine the association between community-level socioeconomic deprivation and ED visits for attempted suicide in Maryland. Methods: A retrospective analysis of attempted suicides in the Maryland State Emergency Department Database from January 2018 to December 2020. Community-level socioeconomic deprivation was measured using the Distress Community Index (DCI). Multivariate regression analyses were conducted to identify the association between DCI and attempted suicides/self-harm. Results: There were 3,564,987 ED visits reported in the study period, with DCI data available for 3,236,568 ED visits; 86.8% were younger than 45 years, 64.8% were females, and 54.6% non-Hispanic Whites. Over the study period, the proportion of ED visits due to attempted suicide was 0.3%. In the multivariate logistic regression, compared to prosperous zones, those in comfortable (OR = 0.80, 95% CI: 0.73-0.88, p < 0.01), Mid-Tier (OR = 0.76, 95%CI:0.67-0.86, p < 0.01), At-Risk (OR = 0.77; 95%CI: 0.65-0.92, p < 0.01) and Distressed zones (OR = 0.53; 95% CI:0.42-0.66, p < 0.01) were less likely to visit the ED for attempted suicide. Conclusion: Prosperous communities had the highest rate of attempted suicides, with the risk of attempted suicide increasing as individuals move from the least prosperous to more prosperous areas.

Causal Effects of the Affordable Care Act (ACA) Implementation on Non-Hodgkin's Lymphoma Survival: A Difference-in-Differences Analysis.

INTRODUCTION: Non-Hodgkin's Lymphoma (NHL) accounts for a substantial number of cancer cases in the United States, with a significant prevalence and mortality rate. The implementation of the Affordable Care Act (ACA) has the potential to impact cancer-specific survival among NHL patients by improving access to healthcare services and treatments. OBJECTIVE: This study aims to assess the impact of the implementation of the ACA on cancer-specific survival among patients diagnosed with NHL. METHODOLOGY: In this retrospective analysis, we leveraged data from the Surveillance, Epidemiology, and End Results (SEER) registry to assess the impact of the ACA on cancer-specific survival among NHL patients. The study covered the years 2000-2020, divided into pre-ACA (2000-2013) and post-ACA (2017-2020) periods, with a three-year washout (2014-2016). Using a Difference-in-Differences approach, we compared Georgia (a non-expansion state) to New Jersey (an expansion state since 2014). We adjusted for patient demographics, income, metropolitan status, disease stage, and treatment modalities. RESULTS: Among 74,762 patients, 56.2% were in New Jersey (42,005), while 43.8% were in Georgia (32,757). The pre-ACA period included 32,851 patients (51.7% in Georgia and 56.7% in New Jersey), and 27,447 patients were in the post-ACA period (48.3% in Georgia and 43.4% in New Jersey). The post-ACA period exhibited a 34% survival improvement (OR=0.66, 95% CI 0.58-0.75). ACA implementation was associated with a 16% survival boost among NHL patients in New Jersey (OR=0.84, 95% CI 0.74-0.95). Other factors linked to improved survival included surgery (OR=0.86, 95% CI 0.81-0.91), radiotherapy (OR=0.77, 95% CI 0.72-0.82), and married status (OR=0.67, 95% CI 0.64-0.71). CONCLUSION: The study underscores the ACA's potential positive impact on cancer-specific survival among NHL patients, emphasizing the importance of healthcare policy interventions in improving patient outcomes.

Determinants of Neonatal Mortality in the United States.

Introduction Despite a notable reduction in infant mortality over recent decades, the United States, with a rate of 5.8 deaths per 1,000 live births, still ranks unfavorably compared to other developed countries. This improvement appears inadequate when contrasted with the country's healthcare spending, the highest among developed nations. A significant proportion of this infant mortality rate can be attributed to neonatal fatalities. Objective The present study aimed to determine the risk factors associated with neonatal deaths in the United States. Method Using the United States Vital Statistics records, we conducted a retrospective study on childbirths between 2015 and 2019 to identify risk factors for neonatal mortality. Our final multivariate analysis included maternal parameters like age, insurance type, education level, cesarean section rate, pregnancy inductions and augmentations, weight gain during pregnancy, birth weight, number of prenatal visits, pre-existing conditions like chronic hypertension and prediabetes, and pregnancy complications like gestational diabetes mellitus (GDM). These variables were incorporated to enhance our model's sensitivity and specificity. Result There were 51,174 neonatal mortalities. Mothers with augmentation of labor had a 25% reduction in neonatal mortalities (NM) (OR=0.75; 95% CI 0.72-0.79), while labor induction was associated with a 31% reduction in NM (OR=0.69; 95% CI 0.66-0.72). Women above 40 years had a 29% increase in NM rate (OR=1.29;95% CI 1.15-1.44). Women without prenatal care have a 22% increase in the risk of NM (OR=1.22; 95% CI 1.14-1.30). The present model has a 60.7% sensitivity and a 99.9% specificity. Conclusion In the present study, significant interventions such as labor induction, augmentation, and prenatal care were associated with improved neonatal outcomes. These findings could serve as an algorithm for improving neonatal outcomes in the United States.

Profiles and Outcomes of Women with Gestational Diabetes Mellitus in the United States.

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.S. context. Objective This study aims to address this knowledge gap and further elucidate the relationship between GDM and maternal and neonatal health outcomes. Method We performed a retrospective study using data from the United States Vital Statistics Records, encompassing deliveries that occurred between January 2015 and December 2019. Our analysis aimed to establish the independent association between GDM and various adverse maternal and neonatal outcomes. The multivariate analysis incorporated factors such as maternal socioeconomic demographics, preexisting comorbidities, and conditions during pregnancy to account for potential confounders and elucidate the relationship between GDM and the outcomes of interest. Result Between 2015 and 2019, there were 1,212,589 GDM-related deliveries, accounting for 6.3% of the 19,249,237 total deliveries during the study period. Among women with GDM, 46.4% were Non-Hispanic Whites, 11.4% were Non-Hispanic Blacks, 25.7% were Hispanics, and 16.5% belonged to other racial/ethnic groups. The median age of women with GDM was 31 years, with an interquartile range of 27-35 years. The cesarean section rate among these women was 46.5%. GDM was identified as an independent predictor of adverse maternal and neonatal outcomes, including cesarean section (OR=1.40; 95% CI: 1.39-1.40), maternal blood transfusion (OR=1.15; 95% CI: 1.12-1.18), intensive care unit admission (OR=1.16; 95% CI: 1.10-1.21), neonatal intensive care unit admission (OR=1.53; 95% CI: 1.52-1.54), assisted ventilation (OR=1.37; 95% CI: 1.35-1.39), and low 5-minute Apgar score (OR=1.01; 95% CI: 1.00-1.03). Conclusion GDM serves as an independent risk factor for adverse maternal and neonatal outcomes, emphasizing the importance of early detection and management in pregnant women.

Influence of Race/Ethnicity and Household Median Income on Penile Cancer Mortality.

INTRODUCTION: Penile cancer, while relatively rare in developed nations, presents substantial disparities in outcomes among different demographic groups. Previous research has shown race/ethnicity and socioeconomic status, often proxied by household median income, to be critical determinants of health outcomes across various diseases. OBJECTIVE: This study examines the association of race/ethnicity and household median income with survival among penile cancer patients in the United States. METHODS: We utilized the Surveillance, Epidemiology, and End Results (SEER) Registry to identify patients with a primary diagnosis of penile malignancies from 2000 to 2019. Our primary outcome of interest was the hazard of death following a diagnosis of penile cancer. We utilized the Cox regression model to explore the association between race/ethnicity and median household income and how this influences survival among these patients. We adjusted for patients' characteristics, disease stage at presentation, and treatment modalities. RESULT: Of the 6,520 penile cancer patients identified, 5,242 (80.4%) had primary malignancies. The distribution of patients was as follows: 64.1% non-Hispanic Whites, 8.9% non-Hispanic Blacks, 20.8% Hispanics, and 6.2% from other racial/ethnic groups. The median diagnosis age was 66 years (interquartile range: 56-74). Survival rates at 5, 10, and 15 years showed racial disparities: 76.4%, 72.5%, and 69.7% for non-Hispanic Whites; 70.6%, 64.1%, and 61.1% for non-Hispanic Blacks; and 70.5%, 67.4%, and 65.6% for Hispanics. Multivariate Cox regression revealed worst survival for Black (HR=1.40; 95% CI=1.08-1.81, p=0.01) and Hispanic patients (HR=1.24; 95% CI=1.01-1.52, p=0.04). No association was found between median household income and survival. Interaction analysis indicated that the poorest Black men had worse outcomes than the poorest Whites did (HR=2.08; 95% CI=1.27-3.41, p=0.003). CONCLUSION: Survival rates for non-Hispanic Black and Hispanic patients are significantly lower than those for non-Hispanic Whites. Furthermore, survival is worse for low-income Black patients than their White counterparts in the same income bracket.

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.

Screening for Gestational Diabetes Mellitus: Is There a Need for Early Screening for All Women in Developing Countries?

BACKGROUND: Gestational diabetes mellitus (GDM) is associated with significant adverse pregnancy outcomes. Early diagnosis and treatment have been proven to reduce adverse pregnancy outcomes among women diagnosed with GDM. Current guidelines recommend routine screening for GDM at 24-28 weeks of pregnancy, with early screening offered to those considered high risk. However, risk stratification may not always be helpful for those who would benefit from early screening, especially in non-Western settings. AIM: To determine the need for early screening for GDM among pregnant women attending antenatal clinics in two tertiary hospitals in Nigeria. METHODS: We conducted a cross-sectional study from December 2016 to May 2017. We identified women who presented at the antenatal clinics of the Federal Teaching Hospital Ido-Ekiti and Ekiti State University Teaching Hospital, Ado Ekiti. A total of 270 women who fulfilled the study inclusion criteria were enrolled. The 75 g oral glucose tolerance test was used to screen participants for GDM before 24 weeks and between 24 and 28 weeks for those who screened negative before 24 weeks. Pearson's chi-square test, Fisher's exact test, independent t-test, and Mann-Whitney U test were utilized in the final analysis. RESULTS: The median age of the women in the study was 30 (interquartile range: 27-32) years. Of our study participants, 40 (14.8%) were obese, 27 (10%) had a history of diabetes mellitus in a first-degree relative, and three (1.1%) women had a previous history of GDM. Twenty-one women (7.8%) were diagnosed with GDM, and six (28.6%) were diagnosed before 24 weeks. Women diagnosed with GDM before 24 weeks were older (37 years; interquartile range: 34-37) and more likely to be obese (80.0%). A significant number of these women also had identifiable risk factors for GDM: previous GDM (20.0%), family history of diabetes mellitus in a first-degree relative (80.0%), prior delivery of fetal macrosomia (60.0%), and previous history of congenital fetal anomaly (20.0%). CONCLUSION:  The findings from the present study did not justify universal screening for GDM in all pregnant women. Patients diagnosed before the 24-28 weeks of universal screening are more likely to have significant risk factors for GDM and, therefore, would have been selected for screening based on the risk factor screening.

The impact of the affordable care act on access to bariatric surgery in Maryland.

INTRODUCTION: This study aims to investigate the influence of the Affordable Care Act (ACA) on the utilization of Roux-en-Y gastric bypass (RYGB) procedures in Maryland. METHODS: Using the Maryland State Inpatient Database, this retrospective study compared all patients undergoing RYGB during the pre-ACA (2007-2009) and post-ACA (2018-2020) periods, including patient demographic factors, pre-existing conditions, and socioeconomic factors. RESULTS: A total of 16,494 RYGB procedures were performed during the study period, of which 12,089 (73.3 â€‹%) were post-ACA. This was a 179.2 â€‹% increase in patients undergoing RYGB post-ACA; nearly triple that of the pre-ACA period. There was a significant decrease in uninsured patients (5.6 â€‹%-1.5 â€‹%, p â€‹< â€‹0.01) an increase in Black patients (32.1 â€‹%-46.8 â€‹%, p â€‹< â€‹0.01) and Medicaid beneficiaries (6.0 â€‹% pre-ACA to 17.8 â€‹% post-ACA, p â€‹< â€‹0.01). There were significant reductions in adverse outcomes (long hospital stays, hemorrhage, GIT leaks, and mortality) across all insurance types (all p â€‹< â€‹0.01). CONCLUSION: The ACA increased access to RYGB procedures, especially in Black and Medicaid recipients in Maryland, enhancing healthcare across all insurance types.

Increasing Pre-pregnancy Body Mass Index and Pregnancy Outcomes in the United States.

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 pre-pregnancy 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 five-minute 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.

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.

Prodromal psychotic symptoms and psychological distress among secondary school students in Abeokuta, Nigeria.

OBJECTIVE: This study aimed to investigate the relationship between prodromal psychotic symptoms and psychological distress among Nigerian adolescents. METHOD: Students (n=508) were randomly selected from secondary schools in Abeokuta, Nigeria. A socio-demographic questionnaire, the Prodromal Questionnaire-Brief Version (PQ-B) and the Strengths and Difficulties Questionnaire (SDQ) were administered to each student. RESULTS: The mean age of the students was 15.4 years (SD 1.3), with most (63%) being female. More than half (55.3%) reported having had a lifetime experience of major life event (20.9% in the preceding 6 months) while 13.9% had experienced bullying or abuse (5.1% in the preceding 6 months). The prevalence of prodromal symptoms was 20.9% (95% CI 0.174-0.244). Abnormal scores in emotional and conduct problems were seen in 11.8% and 6% respectively, while 7.3% had abnormal scores in each of the hyperactivity and peer problems subscales of the SDQ. Abnormality in prosocial behaviour was found in 1.8% of students, with overall abnormality in 4.9%. Regression analysis showed that prodromal symptoms were predicted by female sex, lifetime and 6 month history of major life event, and lifetime and 6 month history of bullying or abuse. Prodromal symptoms were also predicted by higher total SDQ scores and higher scores in all domains of psychological distress except the prosocial domain. CONCLUSION: The study showed a relationship between reported prodromal symptoms and the occurrence of psychological distress. It also showed that early childhood trauma may be a predisposing factor to the early stages of development of psychosis, with female children being especially prone in the years of adolescence.