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Introduction: Community-acquired pneumonia (CAP) is a major health concern in the United States (US), with its incidence, severity, and outcomes influenced by social determinants of health, including socioeconomic status. The impact of neighborhood socioeconomic status, as measured by the Distressed Communities Index (DCI), on CAP-related admissions remains understudied in the literature. Objective: To determine the independent association between DCI and CAP-related admissions in Maryland. Methods: We conducted a retrospective study using the Maryland State Inpatient Database (SID) to collate data on CAP-related admissions from January 2018 to December 2020. The study included adults aged 18-85 years. We explored the independent association between community-level economic deprivation based on DCI quintiles and CAP-related admissions, adjusting for significant covariates. Results: In the study period, 61,467 cases of CAP-related admissions were identified. The patients were predominantly White (49.7%) and female (52.4%), with 48.6% being over 65 years old. A substantive association was found between the DCI and CAP-related admissions. Compared to prosperous neighborhoods, patients living in economically deprived communities had 43% increased odds of CAP-related admissions. Conclusion: Residents of the poorest neighborhoods in Maryland have the highest risk of CAP-related admissions, emphasizing the need to develop effective public health strategies beneficial to the at-risk patient population.
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Community-Acquired Infections , Hospitalization , Pneumonia , Humans , Maryland/epidemiology , Community-Acquired Infections/epidemiology , Community-Acquired Infections/economics , Female , Middle Aged , Aged , Male , Adult , Pneumonia/epidemiology , Retrospective Studies , Aged, 80 and over , Adolescent , Hospitalization/statistics & numerical data , Hospitalization/economics , Young Adult , Neighborhood Characteristics/statistics & numerical data , Residence Characteristics/statistics & numerical data , Socioeconomic FactorsABSTRACT
Introduction Gastric cancer, a significant public health concern, remains one of the most challenging malignancies to treat effectively. In the United States, survival rates for gastric cancer have historically been low, partly due to late-stage diagnosis and disparities in access to care. The Affordable Care Act (ACA) sought to address such disparities by expanding healthcare coverage and improving access to preventive and early treatment services. Objective This study aims to determine the causal effects of the ACA's implementation on gastric cancer survival rates, focusing on a comparative analysis between two distinct U.S. states: New Jersey, which fully embraced ACA provisions, and Georgia, which has not adopted the policy, as of 2023. Methods In this retrospective analysis, we utilized data from the Surveillance, Epidemiology, and End Results Program (SEER) registry to assess the impact of the ACA on cancer-specific survival (CSS) among gastric cancer patients. The study spanned the period from 2000 to 2020, divided into pre-ACA (2000-2013) and post-ACA (2016-2020) periods, with a two-year washout (2013-2015). We compared Georgia (a non-expansion state) to New Jersey (an expansion state since 2014) using a Difference-in-Differences (DiD) approach. We adjusted for patient demographics, income, metropolitan status, disease stage, and treatment modalities. Results Among 25,061 patients, 58.7% were in New Jersey (14,711), while 41.3% were in Georgia (10,350). The pre-ACA period included 18,878 patients (40.0% in Georgia and 60.0% in New Jersey), and 6,183 patients were in the post-ACA period (45.2% in Georgia and 54.8% in New Jersey). The post-ACA period was associated with a 20% reduction in mortality hazard among gastric cancer patients, irrespective of the state of residence (HR = 0.80, 95% CI: 0.73-0.88). Patients who were residents of New Jersey experienced a 12% reduction in mortality hazard compared to those who resided in Georgia in the post-ACA period (HR = 0.88, 95% CI: 0.78-0.99). Other factors linked to improved survival outcomes included surgery (OR = 0.30, 95% CI: 0.28-0.34) and female gender (OR=0.83, 95% CI: 0.76-0.91). Conclusion The study underscores the ACA's potential positive impact on CSS among gastric cancer patients, emphasizing the importance of healthcare policy interventions in improving patient outcomes.
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Background: Asthma represents a substantial public health challenge in the United States, affecting over 25 million adults. This study investigates the impact of neighborhood economic deprivation on asthma-associated Emergency Department (ED) visits in Maryland, using the Distressed Communities Index (DCI) for analysis. Methods: A retrospective analysis of Maryland's Emergency Department Databases from January 2018 to December 2020 was conducted, focusing on asthma-associated ED visits. Results: The study involved 185,317 ED visits, majority of which were females (56.3%) and non-Hispanic whites (65.2%). A significant association was found between increased neighborhood socioeconomic deprivation and asthma-related ED visits. The poorest neighborhoods showed the highest rates of such visits. Compared to prosperous areas, neighborhoods classified from Comfortable to Distressed had progressively higher odds for asthma-related ED visits (Comfortable: OR = 1.14, Distressed OR = 1.65). Other significant asthma predictors included obesity, female gender, tobacco smoking, and older age. Conclusion: There is a substantive association between higher asthma-related ED visits and high neighborhood economic deprivation, underscoring the impact of socioeconomic factors on health outcomes. Public health implications: Addressing healthcare disparities and improving access to care in economically distressed neighborhoods is crucial. Targeted interventions, such as community health clinics and asthma education programs, can help mitigate the impact of neighborhood disadvantage.
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BACKGROUND: This study investigates the association between neighborhood socioeconomic status, measured by the Distressed Communities Index (DCI), and short-term outcomes following colon resection. METHODS: Utilizing the Maryland State Inpatient Sample database (SID 2018-2020), we determined the association between DCI and post-op outcomes following colon resection including length of stay, readmissions, 30-day in-hospital mortality, and non-routine discharges. Multivariate regression analysis was performed to control for potential confounding factors. RESULTS: Of the 13,839 patients studied, median age was 63, with 54.3 â% female and 64.5 â% elective admissions. Laparoscopic surgery was performed in 36.9 â% cases, with a median hospital stay of 5 days. Patients in distressed communities faced higher risks of emergency admission (OR: 1.31), prolonged hospitalization (OR: 1.29), non-routine discharges (OR: 1.36), and readmission (OR: 1.33). Black patients had longer stays than White patients (OR: 1.3). Despite adjustments, in-hospital mortality did not significantly differ among neighborhoods. CONCLUSION: Our study reveals that patients residing in distressed neighborhoods face a higher risk of prolonged hospitalization, non-routine discharges, and readmission rate after colon resection.
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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.
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BACKGROUND: Violent deaths, including suicides and homicides, pose a significant public health challenge in the United States. Understanding the trends and identifying associated risk factors is crucial for targeted intervention strategies. AIM: To examine the trends in suicides and homicides over the past two decades and identify demographic and contextual predictors using the Center for Disease Control and Prevention's Web-based Injury Statistics Query and Reporting System online database. METHODS: A retrospective analysis of mortality records from 2000 to 2020 was conducted, utilizing multivariate regression analyses. Covariates included age, race, sex, education, mental health conditions, and time period. Age-adjusted rates were employed to assess trends. RESULTS: Over the 20 years, there was an upward trajectory in suicide rates, increasing from approximately 10/100,000 to over 14/100,000 individuals, which is a notable increase among American Indians (100.8% increase) and individuals aged 25 years and younger (45.3% increase). Homicide rates, while relatively stable, exhibited a significant increase in 2019-2020, with African Americans consistently having the highest rates and a significant increase among American Indians (73.2% increase). In the multivariate regression analysis, Individuals with advanced education (OR= 1.74, 95% CI= 1.70 - 1.78), depression (OR = 13.47, 95% CI = 13.04 - 13.91), and bipolar disorder (OR = 2.65, 95% CI = 2.44 - 2.88) had higher odds of suicide. Risk factors for homicide include African Americans (OR = 4.15, 95% CI = 4.08 - 4.23), Latinx (OR = 2.31, 95% CI = 2.26 - 2.37), people aged 25 years and younger, and those with lower educational attainment. CONCLUSION: This study highlights the changing demographic pattern in suicides and homicides in the United States and the need for targeted public health responses. Means restriction, universal suicide screening, addressing mental health stigma, and implementing broad interventions that modify societal attitudes toward suicide and homicides are essential components of a comprehensive strategy.
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Purpose: To investigate the association between neighborhood-level socioeconomic factors, quantified by the Distressed Communities Index, and emergency department visits for diabetic retinopathy (DR). Methods: All patients who presented to the emergency department for DR in California were analyzed using the State Emergency Department Database (2018-2020). Patients were stratified by Distressed Communities Index score and DR severity. Logistic regression was applied to explore the independent correlation between Distressed Communities Index scores and proliferative DR (PDR). Results: Of 2 725 195 emergency department visits for diabetic patients, Distressed Communities Index data were available for 2 459 577 (90.3%); 39 693 were for DR, including 13 617 (34.3%) for PDR. Hispanics (44.2%) were the largest racial/ethnic group to present for PDR, followed by non-Hispanic Whites (19.6%) and non-Hispanic Blacks (19.3%). A significant association was observed between the Distressed Communities Index and emergency department visits for PDR, with distressed neighborhoods having the highest incidence (adjusted odds ratio [aOR], 1.63; 95% CI, 1.20-2.23; P = .001). Other predictors included Hispanic ethnicity (aOR, 2.21; 95% CI, 1.97-2.48; P < .001) and Black race (aOR, 1.46; 95% CI, 1.28-1.67; P < .001) compared with White race and having Medicaid (aOR, 1.37; 95% CI, 1.13-1.65; P = .001) compared with private insurance. Conclusions: The Distressed Communities Index identified patients residing in the most distressed neighborhoods as being at the highest risk for presenting to the emergency department for PDR based on 7 socioeconomic factors. Policymakers may consider the Distressed Communities Index as a tool for targeting DR prevention strategies and improving healthcare accessibility.
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Postpartum depression is a common mental health disorder that affects women within six months after giving birth. It is characterized by sadness, anxiety, and extreme fatigue, which can significantly impact a woman's daily functioning and ability to care for her newborn. While traditional treatments for postpartum depression include therapy and medication, recent studies have shown promising results using ketamine. We present a case of a woman with a history of depression who delivered four children by cesarean section with debilitating postpartum depression in two births and no symptoms of depression in the births where she received ketamine during delivery.
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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).
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BACKGROUND: The 2014 Kidney Allocation System (KAS) revision aimed to enhance equity in organ allocation and improve patient outcomes. This study assesses the impacts of the KAS revision on renal transplantation demographics and outcomes in the United States. METHODS: We conducted a retrospective study utilizing the Organ Procurement and Transplantation Network/Scientific Registry of Transplant Recipients (OPTN/SRTR) database from 1998 to 2022. We compared recipient and donor characteristics, and outcomes (graft failure and recipient survival) pre- and post-KAS revision. RESULTS: Post-KAS, recipients were significantly older (53 vs 48, P < .001) with an increase in Medicaid beneficiaries (7.3% vs 5.5%, P < .001). Despite increased graft survival, HR = .91 (95% CI 0.80-.92, P < .001), overall recipient survival decreased, HR = 1.06 (95% CI 1.04-1.09, P < .001). KAS revision led to greater racial diversity among recipients and donors, enhancing equity in organ allocation. However, disparities persist in graft failure rates and recipient survival across racial groups. DISCUSSION: The 2014 Kidney Allocation System revision has led to important changes in the renal transplantation landscape. While progress has been made towards increasing racial equity in organ allocation, further refinements are needed to address ongoing disparities. Recognizing the changing patient profiles and socio-economic factors will be crucial in shaping future policy modifications.
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Graft Survival , Health Services Accessibility , Kidney Transplantation , Tissue and Organ Procurement , Humans , Kidney Transplantation/statistics & numerical data , United States , Retrospective Studies , Middle Aged , Female , Male , Tissue and Organ Procurement/statistics & numerical data , Tissue and Organ Procurement/organization & administration , Adult , Health Services Accessibility/statistics & numerical data , Registries , Healthcare Disparities/statistics & numerical dataABSTRACT
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.
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Diabetes, Gestational , Medicaid , Infant, Newborn , United States/epidemiology , Humans , Female , Pregnancy , Pregnancy Outcome/epidemiology , Diabetes, Gestational/epidemiology , Patient Protection and Affordable Care Act , Cesarean SectionABSTRACT
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.
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Emergency Room Visits , Suicide, Attempted , Female , Humans , United States/epidemiology , Male , Maryland/epidemiology , Retrospective Studies , Incidence , Emergency Service, HospitalABSTRACT
BACKGROUND: The passage of the Affordable Care Act (ACA) in 2010 marked a pivotal moment in American health care policy, significantly expanding access to health care services. This study aims to explore the relationship between the ACA and the utilization and outcomes of Roux-en-Y Gastric Bypass (RYGB) surgery. METHODS: Using data from the National Inpatient Sample (NIS) Database, this retrospective study compares the pre-ACA period (2007-2009) with the post-ACA period (2017-2019), encompassing patients who had RYGB. Multivariable logistic analysis was done accounting for patient's characteristics, comorbidities, and hospital type. RESULTS: In the combined periods, there were 158 186 RYGB procedures performed, with 30.0% transpiring in pre-ACA and 70.0% in the post-ACA. Post-ACA, the proportion of uninsured patients decreased from 4.8% to 3.6% (P < .05), while Black patients increased from 12.5% to 18.5% (P < .05). Medicaid-insured patients increased from 6.8% to 18.1% (P < .05), and patients in the poorest income quartile increased from 20% to 26% (P < .05). Patients in the post-ACA period were less likely to have longer hospital stays (OR = .16: 95% CI .16-.17, P < .01), in-hospital mortality (OR = .29: 95% CI .18-.46, P < .01), surgical site infection (OR = .25: 95% CI .21-.29, P < .01), postop hemorrhage (OR = .24: 95% CI .21-.28, P < .01), and anastomotic leak (OR = .14: 95% CI .10-.18, P < .01) than those in the pre-ACA period. DISCUSSION: Following the implementation of the ACA, utilization of bariatric surgery significantly increased, especially among Black patients, Medicaid beneficiaries, and low-income patients. Moreover, despite the inclusion of more high-risk surgical patients in the post-ACA period, there were better outcomes after surgery.
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Gastric Bypass , Patient Protection and Affordable Care Act , Humans , Gastric Bypass/statistics & numerical data , United States , Male , Female , Retrospective Studies , Middle Aged , Adult , Obesity, Morbid/surgery , Postoperative Complications/epidemiology , Medicaid/statistics & numerical data , Treatment OutcomeABSTRACT
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.
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BACKGROUND: Suicide is a significant cause of mortality in the United States, accounting for 14.5 deaths/100,000. Although there are data on gender disparity in suicide/self-inflicted injury rates in the United States, few studies have examined the factors associated with suicide/self-inflicted injury in females. OBJECTIVE: To determine factors associated with suicide/self-inflicted injuries among women aged 18-65 years in the United States. METHODS: Hospitalizations for suicide or self-inflicted injuries were identified using the National Inpatient Sample database from 2003-2015 using sample weights to generate national estimates. Independent predictors of suicide/self-inflicted injuries were identified using multivariable regression models. Interaction term analysis to identify the interaction between race/ethnicity and income were conducted. RESULTS: There were 1,031,693 adult women hospitalizations in the U.S. with a primary diagnosis of suicide/self-inflicted injury in the study period. The highest suicide/self-inflicted injury risk was among women aged 31-45years (OR = 1.23, CI = 1.19-1.27, p < 0.05). Blacks in the highest income strata had a 20% increase in the odds of suicide/self-inflicted injury compared to Whites in the lowest socioeconomic strata (OR = 1.20, CI = 1.05-1.37, p <0.05). Intimate partner violence increased suicide/self-inflicted injury risk 6-fold (OR = 5.77, CI = 5.01-6.65, p < 0.05). CONCLUSION: Suicide risk is among women aged 31-45 years, higher earning Black women, intimate partner violence victims, uninsured, and current smokers. Interventions and policies that reduce smoking, prevents intimate partner violence, addresses racial discrimination and bias, and provides universal health coverage are needed to prevent excess mortality from suicide deaths.
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Homicide , Suicide , Adult , Humans , Female , United States/epidemiology , Inpatients , Retrospective Studies , Cause of Death , Population SurveillanceABSTRACT
BACKGROUND AND OBJECTIVE: We intend to study the characteristics and outcomes of an understudied patient population with neovascular age-related macular degeneration (nAMD). PATIENTS AND METHODS: This retrospective study evaluated presenting features and outcomes in a predominantly Black patient population with nAMD. A multivariate regression explored baseline characteristics predictive of 1-year vision. RESULTS: Sixty-three eyes were included. The median (interquartile range) baseline vision was 20/300 (20/80 to counting fingers). Patients' baseline optical coherence tomography findings showed a mean central subfield thickness of 336 µm; 80% (n = 35) and 41% (n = 18) had fluid and central scarring, respectively. The primary predictor for vision at year-one was baseline vision (P = 0.03, 95% CI: 0.04 to 0.91). All of those who gained ≥ 3 lines of vision lacked central scarring at baseline. CONCLUSION: Further studies are needed to investigate how to improve earlier detection and treatment of nAMD in this patient population. [Ophthalmic Surg Lasers Imaging Retina 2023;54:580-584.].
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Macular Degeneration , Wet Macular Degeneration , Humans , Retina/pathology , Retrospective Studies , Cicatrix , Visual Acuity , Tomography, Optical Coherence/methods , Macular Degeneration/diagnosis , Angiogenesis Inhibitors/therapeutic use , Intravitreal Injections , Wet Macular Degeneration/diagnosis , Wet Macular Degeneration/drug therapy , RanibizumabABSTRACT
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.
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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.
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INTRODUCTION: Renal medullary carcinoma (RMC) is an aggressive and rare renal malignancy that predominantly affects Black patients but is also found in individuals of other ethnicities. To date, only a few hundred cases have been reported in the urologic literature. Due to this extreme rarity, the exact pathophysiology and optimal treatment have yet to be well described. This study aims to determine the predictors of mortality and overall survival outcomes in patients with RMC. METHODS: We utilized the Surveillance, Epidemiology, and End Results Program (SEER) database 18 registries to retrieve demographic and clinical information on patients with RMC between 1996 and 2018. A multivariate analysis was performed to determine predictors of mortality in the study population. Kaplan-Meier survival curves were then created to display the differences in overall survival of Black versus non-Black patients diagnosed with renal medullary carcinoma during the study period. RESULTS: We identified 100 patients diagnosed with renal medullary carcinoma using the SEER Database in the study period. The mean age was 28.0 ± 12.0 (95% confidence interval [CI] 25.7-30.4). Among the patients, 76% were male and 24% were female. Most RMC patients were Black (83%) with only 17% identifying as White. The mean survival in months was 13.8 ± 3.0 (95% CI 7.9-19.7). The majority (70%) of patients in this study presented with distant, metastatic disease at the time of diagnosis. Black patients with RMC were less likely to receive surgery and five times more likely to die in comparison to their White counterparts OR = 5.4 (95% CI 1.09-26.9, P = 0.04). Not only did Black patients have a lower survival rate at 12 mo compared to White patients, but they also continued to experience a sharp decline in survival to 10.2% at 24 mo (P < 0.05) and 7.6% at 48 mo (P < 0.05) following diagnosis of renal medullary carcinoma. CONCLUSIONS: These data confirm that RMC is a rare disease that disproportionately affects Black patients. The prognosis appears to be substantially worse for Black subjects diagnosed with this cancer than non-Black patients. The worse outcomes seen in Black subjects are of an unclear etiology and are yet to be investigated.
Subject(s)
Carcinoma, Medullary , Carcinoma, Renal Cell , Kidney Neoplasms , Humans , Male , Female , Adolescent , Young Adult , Adult , Carcinoma, Medullary/epidemiology , Carcinoma, Medullary/diagnosis , Carcinoma, Medullary/pathology , Carcinoma, Renal Cell/diagnosis , Carcinoma, Renal Cell/epidemiology , Kidney Neoplasms/epidemiology , Kidney Neoplasms/pathology , Prognosis , Kaplan-Meier Estimate , SEER ProgramABSTRACT
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.