Racial and gender-based disparities and trends in common psychiatric conditions in liver cirrhosis hospitalizations:A ten-year United States study

BACKGROUND Chronic liver disease is associated with various neuropsychiatric conditions.There are currently no large studies assessing and comparing the prevalence of psy-chiatric illnesses based on patient profiles and the etiology of cirrhosis.AIM To examine the trends of hospitalizations among psychiatric conditions in cirrhosis.METHODS We used the National Inpatient Sample database 2016-2019 for the primary diagnosis of liver cirrhosis.The outcomes included the prevalence,trends,and associations of psychiatric diagnoses in these hospitalizations.Chi-square for categorical variables and the Wilcoxon rank test for continuous variables were utilized.RESULTS The prevalence of generalized anxiety disorder(GAD)in liver cirrhosis hospitalizations increased from 0.17%in 2009 to 0.92%in 2019(P<0.001).The prevalence of depression increased from 7%in 2009 to 12%in 2019(P<0.001).Attention deficit hyperactivity disorder(ADHD)prevalence increased from 0.06%to 0.24%.The prevalence of schizophrenia increased from 0.59%to 0.87%(P<0.001).Schizoaffective disorder prevalence increased from 0.10%to 0.35%(P<0.001).Posttraumatic stress disorder(PTSD)prevalence displayed increasing trends from 0.36%in 2009 to 0.93%in 2019(P<0.001).The prevalence of suicidal ideation increased from 0.23%to 0.56%in 2019.Cirrhosis related to alcoholic liver disease[adjusted odds ratios(aOR)1.18,95%CI 1.08-1.29,P<0.001]and non-alcoholic fatty liver disease(NAFLD)(aOR 1.14,95%CI 1.01-1.28,P=0.025)was associated with depression more than other causes.Alcohol-and NAFLD-associated cirrhosis had a stronger link to psychiatric disorders.Females had a higher association with GAD(aOR 2.56,95%CI 2.14-3.06,P<0.001),depression(aOR 1.78,95%CI 1.71-1.84,P<0.001),bipolar disorder(aOR 1.64,95%CI 1.52-1.77,P<0.001]and chronic fatigue(aOR 2.31,95%CI 1.31-4.07,P<0.001)when compared to males.Blacks,Hispanics,and Asian/Native Americans had a significantly lower association with GAD,depression,bipolar disorder,PTSD,and ADHD when compared to the white race.CONCLUSION The prevalence of psychiatric comorbidities in liver cirrhosis hospitalizations has increased over the last decade.Females had a higher association with psychiatric disorders compared to males.Blacks,Hispanics,and Asian/Native Americans had lower associations with psychiatric comorbidities compared to the white race.

Characteristics and distinct prognostic determinants of individuals with hepatosplenic T-cell lymphoma over the past two decades

BACKGROUND Hepatosplenic T-cell lymphoma(HSTCL)is a rare and aggressive peripheral T-cell lymphoma with historically dismal outcomes,representing less than one percent of non-Hodgkin lymphomas.Given its rarity,the true incidence of HSTCL is unknown and most data have been extrapolated through case reports.To the best of our knowledge,the largest and most up to date study addressing the epidemiology and outcomes of patients with HSTCL in the United States covered a period from 1996 to 2014,with a sample size of 122 patients.AIM To paint the most updated epidemiological picture of HSTCL.METHODS A total of 186 patients diagnosed with HSTCL,between 2000 and 2017,were ultimately enrolled in our study by retrieving data from the Surveillance,Epidemiology,and End Results database.We analyzed demographics,clinical characteristics,and overall mortality(OM)as well as cancer-specific mortality(CSM)of HSTCL.Variables with a P value<0.01 in the univariate Cox regression were incorporated into the multivariate Cox model to determine the independent prognostic factors,with a hazard ratio of greater than 1 representing adverse prog-nostic factors.CONCLUSION Overall,the outlook for this rare malignancy is very grim.In this retrospective cohort study of the United States population,non-Hispanic blacks and the elderly had a higher CSM.This data highlights the need for larger prospective studies to investigate factors associated with worse prognosis in one ethnic group,such as treatment delays,which have been shown to increase mortality in this racial/ethnic group for other cancers.

Disparities in the impact of economic well-being on self-esteem in adulthood:Race and ethnicity

BACKGROUND Most studies have defined economic well-being as socioeconomic status,with little attention given to whether other indicators influence self-esteem.Little is known about racial/ethnic disparities in the relationship between economic wellbeing and self-esteem during adulthood.AIM To explore the impact of economic well-being on self-esteem in adulthood and differences in the association across race/ethnicity.METHODS The current study used data from the National Longitudinal Survey of Youth 1979.The final sample consisted of 2267 African Americans,1425 Hispanics,and 3678 non-Hispanic Whites.Ordinary linear regression analyses and logistic regression analyses were conducted.RESULTS African Americans and Hispanics were more likely to be in poverty in comparison with non-Hispanic Whites.More African Americans were unemployed than Whites.Those who received fringe benefits,were more satisfied with jobs,and were employed were more likely to have higher levels of self-esteem.Poverty was negatively associated with self-esteem.Interaction effects were found between African Americans and job satisfaction predicting self-esteem.CONCLUSION The role of employers is important in cultivating employees’self-esteem.Satisfactory outcomes or feelings of happiness from the workplace may be more important to non-Hispanic Whites compared to African Americans and Hispanics.

Digital Disparities:How Artificial Intelligence Can Facilitate Anti-Black Racism in the U.S.Healthcare Sector

This paper delves into the intricate interplay between artificial intelligence(AI)systems and the perpetuation of Anti-Black racism within the United States medical industry.Despite the promising potential of AI to enhance healthcare outcomes and reduce disparities,there is a growing concern that these technologies may inadvertently/advertently exacerbate existing racial inequalities.Focusing specifically on the experiences of Black patients,this research investigates how the following AI components:medical algorithms,machine learning,and natural learning processes are contributing to the unequal distribution of medical resources,diagnosis,and health care treatment of those classified as Black.Furthermore,this review employs a multidisciplinary approach,combining insights from computer science,medical ethics,and social justice theory to analyze the mechanisms through which AI systems may encode and reinforce racial biases.By dissecting the three primary components of AI,this paper aims to present a clear understanding of how these technologies work,how they intersect,and how they may inherently perpetuate harmful stereotypes resulting in negligent outcomes for Black patients.Furthermore,this paper explores the ethical implications of deploying AI in healthcare settings and calls for increased transparency,accountability,and diversity in the development and implementation of these technologies.Finally,it is important that I prefer the following paper with a clear and concise definition of what I refer to as Anti-Black racism throughout the text.Therefore,I assert the following:Anti-Black racism refers to prejudice,discrimination,or antagonism directed against individuals or communities of African descent based on their race.It involves the belief in the inherent superiority of one race over another and the systemic and institutional practices that perpetuate inequality and disadvantage for Black people.Furthermore,I proclaim that this form of racism can be manifested in various ways,such as unequal access to opportunities,resources,education,employment,and fair treatment within social,economic,and political systems.It is also pertinent to acknowledge that Anti-Black racism is deeply rooted in historical and societal structures throughout the U.S.borders and beyond,leading to systemic disadvantages and disparities that impact the well-being and life chances of Black individuals and communities.Addressing Anti-Black racism involves recognizing and challenging both individual attitudes and systemic structures that contribute to discrimination and inequality.Efforts to combat Anti-Black racism include promoting awareness,education,advocacy for policy changes,and fostering a culture of inclusivity and equality.

Identifying disparity in emergency department length of stay and admission likelihood

BACKGROUND: To assess whether insurance status has an effect on emergency department(ED) length of stay(LOS) and likelihood for admission or transfer to an operating room.METHODS: This was a retrospective cross-sectional study of all encounters from January 2011 through October 2013 at an urban, academic trauma center. Analysis included multi-variable linear regression for ED LOS and logistic regression for the likelihood of admission.RESULTS: Overall, 201 535 patients met the inclusion criteria, for which the mean age was 43.8 years, 55.9% were female, 23.4% were uninsured and 8% were of non-black race. Admission rate was 24.5% and operative rate was 1.4%. After adjusting for age, sex, triage acuity and race, the presence of insurance coverage was associated with an increased ED LOS of 575(95%CI 552–598) vs. 567(95%CI 543–591) minutes(P<0.01) among admitted patients and a decreased ED LOS of 456(95%CI 381–531) vs. 499(95%CI 423–575) minutes(P<0.01) among those transferred to an operating room. Adjusting for these same predictors, insured status remained a predictor for admission(odds ratio 1.24, 95%CI 1.20–1.28, P<0.01) and a negative predictor for transfer to the operating room(odds ratio 0.84, 95%CI 0.77–0.92, P<0.01).CONCLUSION: The insured experienced a clinically insignificant increase in ED LOS when admitted and a 43-minute decrease in ED LOS when being transferred to the operating room. The insured were more likely to be admitted and less likely to be transferred to an operating room.

Racial disparities in nonalcoholic fatty liver disease clinical trial enrollment: A systematic review and meta-analysis

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)has a heterogeneous distribution across racial and ethnic groups,with a disproportionate burden among Hispanics.Although there are currently no approved therapies for treatment of NAFLD,several therapies have been investigated in clinical trials.AIM To analyze the inclusion of racial and ethnic minority groups in clinical trials for NAFLD.METHODS We performed a systematic review of North American,English-language,prospective studies for NAFLD therapies published from 2005 to 2019.Racial and ethnic enrollment data were recorded for each eligible study.Meta-analysis was performed to compute pooled prevalence of different racial and ethnic groups,followed by further subgroup analyses.These analyses were based on diagnosis of non-alcoholic steatohepatitis(NASH)and timing of study on enrollment by ethnicity.Descriptive statistics were performed to compare racial and ethnic study enrollment to previously reported NAFLD population prevalence.RESULTS Thirty-eight studies met criteria for inclusion in the systematic review.When reported,median age of enrolled subjects was 49 years(range 41.5-58)with 56%female participants.NAFLD was defined through biopsy findings in 79%(n=30)of the studies.Of the included articles,treatment modalities ranged from medications(n=28,74%),lifestyle interventions(n=5,13%),bariatric surgery(n=4,11%)and phlebotomy(n=1,2%).Twenty-eight studies(73%)included racial and/or ethnic demographic information,while only 17(45%)included information regarding Hispanic participation.Of the 2983 patients enrolled in all eligible trials,a total of only 346(11.6%)Hispanic participants was reported.Meta-analysis revealed a pooled Hispanic prevalence of 24.3%(95%confidence interval 16.6-32.0,I294.6%)among studies documenting Hispanic enrollment.Hispanic enrollment increased over time from 15%from 2005-2014 to 37%from 2015-2019.CONCLUSION In a meta-analysis of NAFLD trials,documentation of racial/ethnic demographic data occurred in less than half of studies.Standardization of reporting of race/ethnicity and targeted interventions toward minority recruitment are needed to improve diversity of enrollment.

Racial Disparities in Parkinson Disease: A Systematic Review of the Literature

Racial differences in the prevalence of Parkinson’s disease (PD) have been reported for decades. Many of the earliest reports were flawed because they were based on crude datasets, such as hospital databases, death certificates, door-to-door surveys and records of Medicare beneficiaries. These studies provided conflicting results and were found to have numerous biases. Publications with improved study designs in recent years have yielded higher quality findings that are worth reviewing. We reviewed studies published between 2005 and 2014 that analyzed the racial differences in Parkinson’s disease diagnosis, treatment—including deep brain stimulation—and access to care. Literature searches were conducted in PubMed and EBSCO. These studies highlight advances in the field and explore differences in PD among ethnic and racial groups. Our literature review focused on prevalence, treatment and diagnosis discrepancies, and racial variations in the perceptions of aging. An appraisal of twelve reviewed studies determined a decrease in prevalence and incidence of PD in Americans of African descent compared to Caucasians. The studies also showed multiple health disparities, including lack of access to care, treatment, and inclusion in research. More studies are needed to address the causes and prevention of health disparities, as well as solutions, such as community outreach.

Survival benefit of younger gastric cancer patients in China and the United States:A comparative study

BACKGROUND The impact of racial and regional disparity on younger patients with gastric cancer(GC) remains unclear.AIM To investigate the clinicopathological characteristics, prognostic nomogram, and biological analysis of younger GC patients in China and the United States.METHODS From 2000 to 2018, GC patients aged less than 40 years were enrolled from the China National Cancer Center and the Surveillance Epidemiology and End Results database. Biological analysis was performed based on the Gene Expression Omnibus database. Survival analysis was conducted via Kaplan-Meier estimates and Cox proportional hazards models.RESULTS A total of 6098 younger GC patients were selected from 2000 to 2018, of which 1159 were enrolled in the China National Cancer Center, and 4939 were collected from the Surveillance Epidemiology and End Results database. Compared with the United States group, younger patients in China revealed better survival outcomes(P < 0.01). For race/ethnicity, younger Chinese cases also enjoyed a better prognosis than that in White and Black datasets(P < 0.01). After stratification by pathological Tumor-Node-Metastasis(pTNM) stage, a survival advantage was observed in China with pathological stage Ⅰ, Ⅲ, and Ⅳ(all P < 0.01), whereas younger GC patients with stage Ⅱ showed no difference(P = 0.16). In multivariate analysis, predictors in China involved period of diagnosis, linitis plastica, and pTNM stage, while race, diagnostic period, sex, location, differentiation, linitis plastica, signet ring cell, pTNM stage, surgery, and chemotherapy were confirmed in the United States group. Prognostic nomograms for younger patients were established, with the area under the curve of 0.786 in the China group and of 0.842 in the United States group. Moreover, three gene expression profiles(GSE27342, GSE51105, and GSE38749) were enrolled in further biological analysis, and distinctive molecular characteristics were identified in younger GC patients among different regions.CONCLUSION Except for younger cases with pTNM stage Ⅱ, a survival advantage was observed in the China group with pathological stage Ⅰ, Ⅲ, and Ⅳ compared to the United States group, which might be partly due to differences in surgical approaches and the improvement of the cancer screening in China. The nomogram model provided an insightful and applicable tool to evaluate the prognosis of younger patients in China and the United States. Furthermore, biological analysis of younger patients was performed among different regions, which might partly explain the histopathological behavior and survival disparity in the subpopulations.

The Impact of a Comprehensive Program on College Success of Academically and Socioeconomically Disadvantaged Students

Low rates in college graduation and persistence have been a significant and persistent issue among urban high school graduates in the Unites States of America,especially for the academically and socioeconomically disadvantaged student population.In response to a college completion initiative,higher education institutions in one large city have joined forces to battle this issue.The purpose of this mixed-methods study was to examine the effects of one such university’s comprehensive support program on public high school graduates’success in college graduation and persistence,and identifies a set of unique high impact practices that have contributed to the success of the program.

Network Approaches to Substance Use and HIV/Hepatitis C Risk among Homeless Youth and Adult Women in the United States: A Review

During the United States economic recession of 2008-2011, the number of homeless and unstably housed people in the United States increased considerably. Homeless adult women and unaccompanied homeless youth make up the most marginal segments of this population. Because homeless individuals are a hard to reach population, research into these marginal groups has traditionally been a challenge for researchers interested in substance abuse and mental health. Network analysis techniques and research strategies offer means for dealing with traditional challenges such as missing sampling frames, variation in definitions of homelessness and study inclusion criteria, and enumeration/population estimation procedures. This review focuses on the need for, and recent steps toward, solutions to these problems that involve network science strategies for data collection and analysis. Research from a range of fields is reviewed and organized according to a new stress process framework aimed at understanding how homeless status interacts with issues related to substance abuse and mental health. Three types of network innovation are discussed: network scale-up methods, a network ecology approach to social resources, and the integration of network variables into the proposed stress process model of homeless substance abuse and mental health. By employing network methods and integrating these methods into existing models, research on homeless and unstably housed women and unaccompanied young people can address existing research challenges and promote more effective intervention and care programs.

A review of the effects of healthcare disparities on the experience and survival of ovarian cancer patients of different racial and ethnic backgrounds

Ovarian cancer (OC) is a serious condition that often presents at advanced stages and has high mortality rates, with the current mode of early-stage screening lacking sensitivity and specificity. OC often presents asymptomatically, which renders early diagnosis difficult. Furthermore, many patients lack significant risk factors or family history of the disease. Five-year survival rates differ between patients with OC among racial, ethnic, and social groups as a result of different social barriers. This review article aims to present the currently existing data regarding health care disparities among OC patients of different ethnic, demographic, and socioeconomic backgrounds, and what next steps should be taken to better understand and eventually eliminate these potentially devastating health care disparities. Increasing data support the notion that a combination of genomic, socioeconomic status, social factors, and cultural differences lead to differential treatments and therefore health care disparities. While genomic and biological factors are important, language barriers, geographic and travel barriers, differences in comorbidity likelihood between populations, and different treatment plans seem to have a greater impact on 5-year survival rates of patients from diverse backgrounds. Language barriers limit a shared-decision model of care. Transportation limitations and geographic differences can lead to limited follow-up and insufficient care in resource and equipment restrictive settings. Patients with these barriers also tend to have a higher incidence of comorbidities that raise the mortality rate of OC. Further research needs to explore effective ;solutions to bridge health care disparities and understand why they occur.