Racial Categories Research Articles

Disparities in Total Knee and Total Hip Arthroplasty Rates in the Population of Alaska, 2015 to 2018.

Racial and ethnic disparities in total joint replacements have been documented. Our objective was to determine the rates of total joint replacements for Alaska Native/American Indian (AN/AI) individuals compared with non-AN/AI individuals in Alaska and investigate the differences in characteristics and outcomes by race. We used hospital discharge data from the Alaska Health Facilities Data Reporting Program from 2015 to 2018. We identified people with an inpatient primary or revision total knee arthroplasty (TKA) or total hip arthroplasty (THA). We determined the population proportion of each procedure, age-adjusted rates by race, age-specific rates, and multivariable adjusted rate ratios for TKA or THA. We compared the characteristics of people undergoing primary TKA and THA by race. In 2,195,806 person-years, there were 8,131 arthroplasty procedures (4,594 primary TKAs, 2,791 primary THAs, 378 revision TKAs, and 368 revision THAs). Primary TKAs and THAs were less likely in people of AN/AI or "Other" race compared with people of White race, with some heterogeneity in the "Other" race category. In multivariable models, the adjusted rate ratio for AN/AI compared with White race for TKA was 0.70 (95% confidence interval [CI] 0.60-0.82) and for THA was 0.69 (95% CI 0.55-0.85). AN/AI individuals undergoing TKA and THA were more likely to reside in rural locations, be younger than 65 years, have longer hospital stay, and discharge to home. This study confirmed the existence of racial disparities in TKA and THA in Alaska. There may be many underlying causes, and future research should focus on improving access to care.

What does racial ascription have to do with perception of Swedishness?

AbstractHow do Swedes, who are not exposed to administrative routines of reporting race and ethnicity, perceive, and categorize faces with different phenotypical features? This study examines identity contestation that can occur and address how race affects the way you are perceived as Swedish. A sample of Swedish participants were asked to assign racial categories to images of faces with different phenotypes, identify the skin color of the faces and rate how ‘Swedish’ the faces are perceived. We also use eye‐tracking to explore whether participants look differently at the faces of different racial groups. The results show greater identity contestation among Latino and Black faces. Moreover, while Swedish respondents identify the skin color of faces self‐identified as Black as darker compared to other racial backgrounds, the differences in skin color reported between Asian, White and Latinos were very small. Despite these small differences in the perception of skin color among Asian, White, and Latino faces, faces self‐reported as White were rated as significantly more Swedish by the respondents compared Asian and Latino faces. All these results contribute to the understanding of not only how race matters in Sweden but also to the understanding of constructivist nature of race.

Analysis of the diversity pipeline for the orthopedic trauma surgeon workforce in the United States

IntroductionThere is a lack of research on the state of racial, ethnic, and gender diversity in the emerging orthopedic trauma workforce. The purpose of this study was to analyze the training pathway for diverse candidates in orthopedic trauma as it relates to race, ethnicity, and sex. MethodsSelf-reported demographic data were compared among allopathic medical students, orthopedic surgery residents, orthopedic trauma fellows, and the general population in the United States (2013–2022). Race categories consisted of White, Asian, Black, and Native American/Alaskan Native (NA/AN), and Native Hawaiian/Pacific Islander (NH/PI). Ethnicity categories were Hispanic/Latino or non-Hispanic/Latino. Sex categories were male and female. Representation was calculated at each stage of accredited training. Participation-to-prevalence ratios (PPRs) quantified the equitable representation of demographic groups in the emerging orthopedic trauma workforce relative to the US population. PPR thresholds were used to classify representation as overrepresented (PPR > 1.2), equitable (PPR = 0.8–1.2), and underrepresented (PPR < 0.8). ResultsRelative to medical school and orthopedic surgery residency, fewer female (48.5 % vs 16.7 % vs 18.7 %, P < 0.001), Hispanic (6.1 % vs 4.5 % vs 2.6 %, P < 0.001), Black (6.9 % vs 5.0 % vs 3.1 %, P < 0.001), and Asian (24.0 % vs 14.3 % vs 12.2 %, P < 0.001) trainees existed in orthopedic trauma fellowship training. In contrast, more male (51.5 % vs 83.3 % vs 81.3 %, P < 0.001) and White (62.8 % vs 79.1 % vs 84.0 %, P < 0.001) trainees existed in orthopedic trauma fellowship relative to earlier training stages. There were zero NA/AN or NH/PI trainees in orthopedic trauma (PPR = 0). Relative to the US population, Hispanic (PPR = 0.14), Black (PPR = 0.25), and female (PPR = 0.37) trainees were underrepresented in orthopedic trauma. In contrast, Asian (PPR = 2.04), male (PPR = 1.64), and White (PPR = 1.36) trainees were overrepresented in orthopedic trauma. ConclusionWomen, racial, and ethnic minorities are underrepresented in the emerging orthopedic trauma workforce relative to the US population, and earlier stages of training. Targeted recruitment and guided mentorship of these groups may lead to greater interest, engagement, and diversity in orthopedic trauma.

Pregnancy Intendedness Among Racial and Ethnically Minoritized Women with Disabilities.

Background: A limited number of studies have examined the prevalence of unintended pregnancy among disabled women. However, no studies to date have examined the association between pregnancy intention and disability, in combination with race and ethnicity. Methods: We analyzed data from the National Survey of Family Growth from the period 2011-2019 to estimate the prevalence of pregnancy intendedness among women with disabilities 15-45 years of age. We compared pregnancy intendedness among respondents with and without disabilities. Modified Poisson regressions were conducted to estimate the unadjusted and adjusted prevalence ratios (with 95% confidence intervals) of unintended pregnancy across disability type and by race and ethnicity category. Non-Hispanic White women without disabilities served as the referent group. Results: Unadjusted results found that women with disabilities in all racial or ethnic groups were significantly more likely to report unintended pregnancies compared with non-Hispanic White women with no disabilities. Non-Hispanic Black women were more than three and a half times (PR = 3.72, 95% CI: 2.91-4.75) more likely than their non-Hispanic White counterparts to report an unintended pregnancy. After adjusting for demographic characteristics, results were slightly attenuated in all categories, with the exception of nondisabled Hispanic women, indicating high prevalence of unintended pregnancies. Conclusions: Racial and ethnic minority women with disabilities may experience heightened risk for unintended pregnancy. Targeted efforts are needed to address barriers to comprehensive sexual and reproductive health care and improve reproductive health outcomes among women who experience multiple forms of marginalization.

Multiple imputation of race and Hispanic ethnicity in national surveillance data for chlamydia, gonorrhea, and syphilis.

Disease burden of sexually transmitted infections such as chlamydia, gonorrhea, and syphilis is often compared across age categories, sex categories, and race and ethnicity categories. Missing data may prevent researchers from accurately characterizing health disparities between populations. This article describes the methods used to impute race and Hispanic ethnicity in a large national surveillance data set. All US cases of chlamydia, gonorrhea, and syphilis (excluding congenital syphilis) reported through the National Notifiable Diseases Surveillance System (NNDSS) from the year 2019 were included in the analyses. We used fully conditional specification to impute missing race and Hispanic ethnicity data. After imputation, reported case rates were calculated, by disease, for each race and Hispanic ethnicity category using Vintage 2019 Population and Housing Unit Estimates from the US Census. We then used case counts from subsets that contained only complete race and Hispanic ethnicity information to investigate if the confidence intervals from the multiply imputed data included the observed number of cases in each race and Hispanic ethnicity category. Among the 2,553,038 cases reported in 2019, race and Hispanic ethnicity were multiply imputed for 9% of syphilis cases, 22% of gonorrhea cases and 33% of chlamydia cases. In the subset analyses, every non-zero rate of reported cases was contained within the confidence intervals that were calculated from multiply imputed data. Confidence intervals that account for the uncertainty of the predictions are an advantage of multiple imputation over complete-case analysis because a realistic variance estimate allows for valid hypothesis testing results.

Ideological Hatred and the New Social Cleavages

The war in Ukraine pushed a large part of the planet to reformulate its narratives, its arguments and rationalities to accommodate an impossible reality: a real, hot war in the European mainland where everybody had already embraced the mantra of a for-ever post-war-scenario. With the politicians re-using old and highly symbolical expressions, all of us were driven in the middle of a semantic turmoil. One year after, we may easily distinguish the opposite camps all around the world and the line between them drawn by the new, post-communist source of dissonances: the bare ideology covered in fluid, transparent inter-textual coats, as if the war itself were just a synthesis of history, geopolitics, religion, modernization and international relations altogether. However, beyond all these, there comes a well-known theory to seek its own updates: Julien Benda labeled three types of hatred, namely of race, class and nation. My claim is that this war in Ukraine added a full-fledged new category of ideological hatred, cutting across the above mentioned ones as if annulling their existence and subordinating all to the present commands of politics. I intend to explore these divisions, tracing a line to connect all four types while searching for the anatomy of the new (old) ghost: the ideological hatred, how it works with the sociological categories of race, class and nation encapsulating them to create new political subjects. The latter are the combating parts in this war and we may say that the war renovated the sociological division of roles through reconfiguring the players in the game.

Assessing breast cancer-related lymphedema screening and treatment gaps in a safety-net hospital.

We evaluated the unmet breast cancer-related lymphedema(BCRL) treatment and education needs at New England's largest safety-net hospital serving a diverse population by assessing prevalence, risk factors, and treatment. This was a retrospective cohort study examining breast cancer surgery patients from September 2016 to September 2021. The primary outcome was BCRL diagnosis. Secondary outcomes included BCRL risk factors, and physical and occupational therapy (PT/OT)referral frequency and completion. Of 639 patients, 17% of patients had documented BCRL, which was significantly associated with axillary lymph node dissection (ALND).There were no racial, insurance, breast radiation, or BMI category differences between patients with and without a BCRL diagnosis. Of those with BCRL, 58% received a PT/OTreferral, and 56% completed their referral. There were no racial, insurance, or BMI category differences between those who received a PT/OTreferral and those who did not. In our high-risk population, rates of documented BCRL were higher than expected, approaching rates of ALND, despite the majority undergoing sentinel lymph node biopsy (SLNB).PT/OTreferral and completion rates were low, concerning for an unmet BCRL treatment and education need. No disparities in care delivery were seen, but a program that addresses treatment gaps and ensures accessible and patient-centered BCRL care is urgently needed.

Prediabetes Prevalence by Adverse Social Determinants of Health in Adolescents

Several clinical practice guidelines advise race- and ethnicity-based screening for youth-onset type 2 diabetes (T2D) due to a higher prevalence among American Indian and Alaska Native, Asian, Black, and Hispanic youths compared with White youths. However, rather than a biological risk, this disparity likely reflects the inequitable distribution of adverse social determinants of health (SDOH), a product of interpersonal and structural racism. To evaluate prediabetes prevalence by presence or absence of adverse SDOH in adolescents eligible for T2D screening based on weight status. This cross-sectional study and analysis used data from the 2011 to 2018 cycles of the National Health and Nutrition Examination Survey. Data were analyzed from June 1, 2023, to April 5, 2024. Participants included youths aged 12 to 18 years with body mass index (BMI) at or above the 85th percentile without known diabetes. The main outcome consisted of an elevated hemoglobin A1c (HbA1c) level greater than or equal to 5.7% (prediabetes or undiagnosed presumed T2D). Independent variables included race, ethnicity, and adverse SDOH (food insecurity, nonprivate health insurance, and household income <130% of federal poverty level). Survey-weighted logistic regression was used to adjust for confounders of age, sex, and BMI z score and to determine adjusted marginal prediabetes prevalence by race, ethnicity, and adverse SDOH. The sample included 1563 individuals representing 10 178 400 US youths aged 12 to 18 years (mean age, 15.5 [95% CI, 15.3-15.6] years; 50.5% [95% CI, 47.1%-53.9%] female; Asian, 3.0% [95% CI, 2.2%-3.9%]; Black, 14.9% [95% CI, 11.6%-19.1%]; Mexican American, 18.8% [95% CI, 15.4%-22.9%]; Other Hispanic, 8.1% [95% CI, 6.5%-10.1%]; White, 49.1% [95% CI, 43.2%-55.0%]; and >1 or other race, 6.1% [95% CI, 4.6%-8.0%]). Food insecurity (4.1% [95% CI, 0.7%-7.5%]), public insurance (5.3% [95% CI, 1.6%-9.1%]), and low income (5.7% [95% CI, 3.0%-8.3%]) were each independently associated with higher prediabetes prevalence after adjustment for race, ethnicity, and BMI z score. While Asian, Black, and Hispanic youths had higher prediabetes prevalence overall, increasing number of adverse SDOH was associated with higher prevalence among White youths (8.3% [95% CI, 4.9%-11.8%] for 3 vs 0.6% [95% CI, -0.7% to 2.0%] for 0 adverse SDOH). Adverse SDOH were associated with higher prediabetes prevalence, across and within racial and ethnic categories. Consideration of adverse SDOH may offer a more actionable alternative to race- and ethnicity-based screening to evaluate T2D risk in youth.

Uses and abuses of the concept of race in genomics of sport performance and sport-related traumatic brain injury: epistemological and ethical considerations

ABSTRACT In this article, we tackle the epistemological and ethical issues related to the use of race concepts in the genomics of sport performance and sport-related concussion (SRC). In the first part of the article, we show how the concept of race is ubiquitous in scientific literature, besides the fact that ‘race’ as other analogous population descriptors like ‘ancestry’ and ‘continent’ carry ancestral genetic heterogeneity and therefore they cannot be used to infer any kind of genetic or physiological property. Then, we investigate the question of whether genomics research focusing on racial categories and race-specific genes of sport performance and of risk of health outcomes due to repetitive head impacts (RHI) is justified from an epistemological point of view, arguing that it is not; we show that the evidence supporting the existence of genetic variants determining an elite athlete status or a predisposition to health outcomes after SRC is scarce, and the use of racial categories (e.g. African or Black, Caucasian or White, Asian, etc.) as proxies for genetic variants associated with an elite athlete status/a predisposition to health outcomes after SRC is ill-conceived. In the second part of the article, we analyze the main ethical issues concerning the reification of race concepts in sport genomics, also considering the more general issue of the ethical and social impact of the use of a genetic framework in the explanation of individual differences in sport performance and SRC.

Addressing the Gap: Racial Disparities and Public Health Strategies in the Epidemiology of Gastrointestinal Stromal Tumors.

Background Gastrointestinal stromal tumors (GISTs) represent the most common mesenchymal neoplasms of the gastrointestinal tract, arising from the interstitial cells of Cajal. These tumors bridge the nervous system and muscular layers of the gastrointestinal tract, playing a crucial role in the digestive process. The incidence of GISTs demonstrates notable variations across different racial and ethnic groups, underscoring the need for in-depth analysis to understand the interplay of genetic, environmental, and socioeconomic factors behind these disparities. Linear regression analysis is a pivotal statistical tool in such epidemiological studies, offering insights into the temporal dynamics of disease incidence and the impact of public health interventions. Methodology This investigation employed a detailed dataset from 2009 to 2020, documenting GIST incidences across Asian, African American, Hispanic, and White populations. A meticulous preprocessing routine prepared the dataset for analysis, which involved data cleaning, normalization of racial terminologies, and aggregation by year and race. Linear regression models and Pearson correlation coefficients were applied to analyze trends and correlations in GIST incidences across the different racial groups, emphasizing an understanding of temporal patterns and racial disparities in disease incidence. Results The study analyzed GIST cases among four racial groups, revealing a male predominance (53.19%) and an even distribution of cases across racial categories: Whites (27.66%), Hispanics (25.53%), African Americans (24.47%), and Asians (22.34%). Hypertension was the most common comorbidity (32.98%), followed by heart failure (28.72%). The linear regression analysis for Asians showed a decreasing trend in GIST incidences with a slope of -0.576, an R-squared value of 0.717, and a non-significant p-value of 0.153. A significant increasing trend was observed for Whites, with a slope of 0.581, an R-squared value of 0.971, and a p-value of 0.002. African Americans exhibited a moderate positive slope of 0.277 with an R-squared value of 0.470 and a p-value of 0.201, indicating a non-significant increase. Hispanics showed negligible change over time with a slope of -0.095, an R-squared value of 0.009, and a p-value of 0.879, suggesting no significant trend. Conclusions This study examines GIST incidences across racial groups, revealing significant disparities. Whites show an increasing trend (p = 0.002), while Asians display a decreasing trend (p = 0.153), with stable rates in African Americans and Hispanics. Such disparities suggest a complex interplay of genetics, environment, and socioeconomic factors, highlighting the need for targeted research and interventions that address these differences and the systemic inequalities influencing GIST outcomes.

Racial disparities in pediatric patients with acute myeloid leukemia.

10031 Background: Leukemia is a cancer of the blood and bone marrow characterized by the rapid and uncontrolled production of abnormal white blood cells. Acute myeloid leukemia (AML) makes up 15–20% of all childhood acute leukemias (1). The purpose of this study is to use the National Cancer Database (NCDB) to provide an updated investigation of racial disparities in survival in pediatric patients with AML. Investigating the different factors associated with poor outcomes provides valuable information when allocating resources and understanding where policies will be useful to improve patient outcomes. Methods: Pediatric (0-19 years old) AML patients were identified in this retrospective cohort study via the 2004-2020 NCDB. Chi square analysis, Fischer's exact test, and t-tests were used to analyze demographic variables. Kaplan Meier survival analysis was used to compare mean survival across race categories which was repeated with demographic variables of interest using a multivariate Cox regression. Results: A total of 4765 patients were identified in this study. Most patients were male (53.5%), White (73.0%), held private insurance (52.3%), and resided in metropolitan areas (82.0%). The mean age at diagnosis was 8.1 years old. There was no significant difference in age at diagnosis and time to treatment start across racial categories. Black patients had lower mean survival compared to White patients (131 vs 148 months, p&lt;0.001). When controlling for age, sex, metropolitan status, comorbidity status, income, education, and insurance status as covariates, Black race independently portended a poorer prognosis compared to White race (hazard ratio: 1.174, 95% confidence interval: 1.003-1.376, p=0.046). Black patients were more likely to be uninsured (4.1%) compared to White patients (2.8%) (p&lt;0.001). Black patients were more likely to reside in zip codes with lower incomes (36.0% vs 17.6%, p&lt;0.001) and lower education attainment (38.7% vs 27.8%, p&lt;0.001) compared to White patients. Black patients were more likely to have comorbidities with a Charlson-Deyo score of &gt;1 than White patients (11.2% vs 6.2%, p&lt;0.001). Black patients were also more likely to be from metropolitan areas than White patients (90.5% compared to 83.9%, p&lt;0.001). Conclusions: This study indicates that Black AML patients experience lower survival rates and are subject to more predictors of poor outcomes. Black patients were more likely to be uninsured, have comorbidities, live in zip codes with lower incomes and lower education attainment. 1. Morais, R. V. de et al (2021). J De Pediatria, 97(2), 204–210. https://doi.org/10.1016/j.jped.2020.02.003.

Racial disparities in patients with ALL according to a national dataset.

e13733 Background: Racial disparities in healthcare refer to differences in health outcomes, access to healthcare &amp;quality of care among racial or ethnic groups. Aim of study is to investigate the characteristics and clinical outcomes of racial differences in patients admitted with ALL. Methods: We queried the National Inpatient Sample between 2017-2020 for adult patients of different races who were hospitalized with ALL. The primary outcome was inpatient mortality; secondary outcomes were cardiac arrest, invasive mechanical ventilation, length of stay &amp; hospital cost. Multivariable logistic, linear &amp; Poisson regression analyses were used to estimate clinical outcomes with p-value &lt; 0.05 was significant. Results: Total 110999 hospitalizations with ALL. Mean age 46 years &amp; 55.8% male. Among admitted, 59599 (53.7 %) were Caucasian, 9205 (8.3 %) were Black, 27565 (24.8%) were Asian, 4540 (4.1%) were Hispanic, and 10090 (9.1%) were others. Subgroup with Caucasian, Blacks, Asians, Hispanics, and other races had Medicare 34.9% vs 30.2% vs 13.5% vs 17.9% vs 12.5%, Medicaid 13.3% vs 29.7% vs 41.4% vs 19.2 vs 34.8%, Non-insured 2.1% vs 5.1% vs 10.6% vs 4.2% vs 7.7%; DM 19% vs 23.8% vs 24.6% vs 17.4% vs 20.7%; Protein calorie malnutrition 11 % vs 10.6% vs 10.1% vs 12.6% vs 10.2%, respectively. All-cause mortality was 3810, where subgroup with Caucasian, Black, Asian, Hispanic, and others were 2085 (3.5%) vs 410 (4.4%) vs 885 (3.2%) vs 145 (3.2%) vs 285 (2.8%). Conclusions: Among the racial categories, Caucasians comprised the largest portion followed by Asians, Blacks, Hispanics. Mortality and intubation proportion was highest among Blacks followed by Hispanics &amp; Asians. Cardiac arrest proportion was highest among Blacks followed by Hispanics and Asians. LOS was highest among Hispanics followed by Asians &amp; Blacks. Resource utilization was highest in Hispanics followed by Asians &amp; Blacks. Understanding these disparities is essential for improving healthcare equity and ensuring that all patients receive appropriate &amp; equitable care regardless of their racial/ethnic background. Interventions include improving access to healthcare, culturally competent care and addressing social determinants of health that affect racial/ethnic groups. [Table: see text]

Factors associated with delays in receipt of neoadjuvant chemotherapy in patients with operable breast cancer.

e13541 Background: Delays in neoadjuvant chemotherapy initiation (NACTI) after breast cancer (BC) diagnosis have been associated with worse outcomes. We evaluated incidence and predictors of delays of NACTI among high clinical risk patients treated with NACT on a national level. Methods: We conducted a retrospective cohort study using the National Cancer Database. Eligibility included age ≥18 years, diagnosis of non-metastatic BC between 1/1/2010 – 12/31/2020, who were treated with NACT within 180 days of diagnosis. Patients who received neoadjuvant endocrine therapy were excluded. Time to chemotherapy (TTC) in days was recorded. Patients were categorized into sub-cohorts by receptor status and clinical stage: 1) Hormone Receptor positive/HER-2 negative (HR+/HER2-) and were lymph node (LN) LN+; 2) HER-2 positive (HER2+) cT2+ or LN+; and 3) triple negative BC (TNBC) cT2+ or LN+. Multivariable logistic regression, adjusted for demographic, socioeconomic and tumor characteristics, was used to identify characteristics associated with delays &gt; 60 days from diagnosis to NACTI. Multiple imputation was used for missing data. Results: We identified 145,697 eligible patients, 74% were White, 18% were Black, 3.3% were Asian, and 4.6% were Other/Unknown. Across all racial categories, 9.2% were Hispanic. Median age at diagnosis was 52 years (range 18-90), median TTC was 32 days (range 0-180), and 10% had a delay &gt; 60 days. There were 40,345 patients in the HR+/HER2- cohort, 56,868 in the HER2+ cohort, and 48,484 in the TNBC cohort; 12%, 9.0%, and 8.9% (p &lt;0.001) had a delay in NACTI, respectively. In multivariable analysis among the HR+/HER2- sub-cohort, characteristics associated with delays in NACTI included Black race (OR 1.71, 95%CI 1.57-1.86) and Hispanic ethnicity (OR 1.76, 95%CI 1.60-1.94) compared to White and non-Hispanic patients. Patients with Medicare, Medicaid, or who were uninsured were more likely to be delayed (OR 1.44 95%CI 1.30-1.58, 2.10, 95%CI 1.92-2.29, 2.28, 95%CI 1.99-2.61) compared to those with commercial insurance. Results were similar in the HER2+ and TNBC cohorts, as seen in Table. Conclusions: Among patients with operable BC who received NACT, patients who were Black, Hispanic, had Medicaid or no insurance had as high as a twofold increase in odds of a delay in NACTI. Targeted interventions to address these racial and socioeconomic disparities are necessary to ensure equitable care. Multivariable logistic regression adjusted for demographic, socioeconomic and tumor characteristics variables (n= 145,697). [Table: see text]

Gender disparity in chimeric antigen receptor T-cell therapy utilization and outcomes in the United States.

2556 Background: Chimeric antigen receptor T-cell [CART] therapy has marked a new era in the treatment of relapsed/refractory hematological malignancies since its approval in 2017. Racial disparity was studies previously but not gender. Current study aimed to evaluate gender disparity in CART therapy utilization and outcomes. Methods: This cross sectional study was done using National Inpatient Sample [NIS], the largest database available in the US. Inpatient admissions of adults who received CART therapy for various indications during year 2020 were included. Results: A total of 6915 patients were admitted to hospital for CART therapy in 2020 with an overall inpatient mortality rate of 1%. Mean age of the patients was 57yr. Majority were White [64%], with a higher median household income, admitted to urban and large sized hospitals and predominantly covered by Medicare or private insurance [~80%]. Study population was divided into males and females and outcomes were compared. Females were significantly younger with lower Charlson comorbidity index and higher utilization of CART therapy [81% vs 19%] compared to males. Females had 86% lesser odds of mortality compared to males (Odds Ratio [OR] 0.14; 95% confidence interval [CI] 0.04-0.47; p value 0.001). Females had significantly lesser hospitalization charges [mean decrease $471,193; p value 0.000] and length of stay [mean decrease 8 days; p value 0.000] compared to males after adjusting for confounders. Racial differences in outcome were compared after multiple imputation was used to correct for 4% missing data in the race category in NIS 2020. There was no statistically significant difference in mortality, length of stay or hospitalization charges between Whites, Blacks and Hispanic races similar to previous studies. Conclusions: Eligibility criteria for CART therapy includes patients with good performance status and organ function with less comorbidities. Our study found that females were younger, healthier and therefore qualified better for CART therapy compared to males. Hence they had significantly higher utilization of CART therapy. In addition, among the population receiving CART therapy, females had better outcomes compared to males in terms of mortality, length of stay and hospitalization charges. In general, males have higher incidence and mortality with poorer outcomes in most hematological malignancies where CART therapy is a treatment option. Measures at modifying and improvising CART therapy to cater to more male subjects will not only reduce gender disparity but also improve overall survival and reduce disease burden. [Table: see text]

Como gênero e raça estruturam o sistema prisional: Diálogos com Angela Davis sobre racismo e sexismo no controle punitivo brasileiro

Abstract We present an analysis of the phenomenon of female incarceration in Brazil, placing it as a concrete determination of the capitalist mode of production. We start from the issue of how the categories of gender and race act as structural elements of Brazilian penal control, based on the reading proposed by Angela Davis, in dialogue with authors of Brazilian feminist. For this reason, initially, we will promote initial debates about oppression as structures of social relations in capitalism. Subsequently, it will be necessary to discuss the oppression of gender and race in the Brazilian context, especially considering the overload of reproductive, invisible, and precarious work. Finally, we will analyze the consolidation of Brazilian punitive control as an instrument for the management of disposable bodies and the constant production and reproduction of racism and sexism in Brazilian culture. We will use materialistic analysis as a methodology, with the critical interpellation (ana-dialectical moment of the method) through the critical analytical, theoretical framework of the black feminism theory. With the formulations, we can conclude, in short, that the violent and racist management of the penal system maintains a solid Brazilian social structure, subjecting the bodies of black women to the harder process of vulnerability imposed by punitive state control.

A case for race and space in auto ownership modeling: A Los Angeles County study

Auto ownership behavior is driven by complex relationships that can vary dramatically across different traveler groups and communities. Differences in auto ownership among racial groups have been of particular interest, given ongoing efforts to advance equity in transportation outcomes. There are a number of studies documenting racial disparities in auto ownership associated with racial and ethnic residential clustering, termed “automobile mismatch.” Yet, these differences in auto ownership behavior by race and residential location are virtually never considered in models of travel behavior, despite calls for the consideration for race in transportation planning and decision making. This study aims to bridge the gap between understandings of the connections between race and space and transportation outcomes, using Los Angeles County as a case study. A series of auto ownership model specifications are used to investigate statistical connections between the racial and ethnic categories of residents, and neighborhoods, revealing systematic variations across racial and spatial dimensions. The composite model, which includes racial and spatial indicators, outperforms the base model, suggesting that the inclusion of race and space explains significantly more information on variations in auto ownership and provides a superior fit to the data. Our findings also suggest that the exclusion of racial and spatial indicators may lead to overestimation of certain effects, and may completely misrepresent the importance of certain household, individual-level, and built environment effects in explaining auto ownership preferences. Given the increasing attention to equity and representation in transportation outcomes, models that exclude considerations for race and space may be poorly positioned to support meaningful transportation equity analyses.

Racial and Ethnic Diversity of Athletic Trainers in National Collegiate Athletic Association Institutions, 2008-2018: A Retrospective Study.

Athletic trainers (ATs) are the most visible members of the sports medicine team and are responsible for the health and well-being of student-athletes. However, the representation of Black, Indigenous, and people of color (BIPOC) ATs in National Collegiate Athletic Association (NCAA) member institutions has not been studied. To quantify the representation of BIPOC ATs in National Collegiate Athletic Association (NCAA) member institutions. Cross-sectional study. National Collegiate Athletic Association's Demographic Database. Team athletic personnel at NCAA member institutions. Chi-square tests were used to assess differences in racial and ethnic frequencies across division, calendar year, and gender. Linear regression models were calculated to examine changes in racial and ethnic distributions of head and assistant ATs over time. Most NCAA ATs were categorized as White (88%), which was reflected in both head (90.8%) and assistant (87.2%) AT positions. Black ATs made up the largest proportion of a specific racial or ethnicity group within BIPOC ATs (3.4% of head ATs, 4.6% of assistant ATs), with the next most prevalent being Hispanic (2.8% of head ATs, 3.9% of assistant ATs). Historically Black Colleges and Universities showed higher proportions of BIPOC ATs in both the head and assistant categories than non-historically Black institutions. Division I schools had the greatest AT racial or ethnicity diversity in comparison with Divisions II and III (P < .0001). In our linear regression models, we found increases in many of the racial or ethnic categories for both head and assistant ATs. We demonstrated that BIPOC ATs represented a small proportion of the ATs currently working at NCAA member institutions. Although BIPOC ATs have increased over the past 10 years, a large racial and ethnic discordance gap still exists between student-athletes and the ATs caring for them.

Refining the 30-day emergency department visit after initial chemotherapy administration A-PROACCT model.

e23253 Background: This study attempted to address limitations in the A-PROACCT model developed by Stein et al. (JOP, 2023) to predict the rate of acute care events within 30 days (ACE30) of initial chemotherapy administration (ICA). The four most important predictors were drug category (immunotherapy), cancer type (gastrointestinal), age group ( &lt; 40), and BMI category (underweight). Only linear relationships were considered. For patients for whom an ACE30 was predicted by their first and second models, only 0.18 and 0.23 actually had an ACE30, a low positive predictive value (PPV). We attempted to improve the PPV with advanced modeling techniques. Methods: Using Orlando Health data between February of 2012 and April 2021, random sampling was used to split the dataset into training (10,838) and validation (4645). For the training data, resampling was employed to obtain a balanced quota, equal observations followed by an ACE30 and not followed by an ACE30. We included only variables used in Stein (drug category, age group, ED visits and hospitalizations in the prior year, cancer type, insurance category, number of anti-cancer agents, race, and BMI category). Logistic regression with L1-penalty, XGBoost (a non-linear nonparametric tree-based algorithm to account for nonlinear relationships), and artificial neural networks were used to develop and evaluate predictive models. Different sampling methods (bootstrap and SMOTE) as well as cuff-off thresholds for high-risk groups were tested. Results: Based on evaluation with validation data set, the best performing approach was an XGBoost model with SMOTE resampling in the training data. The four most important predictors were ED visits in the prior year, payor category (self-insured), cancer type (genitourinary) and hospitalization in past year. This model reported a PPV of 0.27. Many other combinations of methodologies described above were performed, and the PPV varied between 0.19 to 0.27. Of the 282 ICAs identified as high-risk by the best model, 76 (27.0%) had an ACE30. Of the 4346 ICAs identified as low-risk, 533 (12.3%) had an ACE30. The differences between high risk and low risk ACE30 rates were statistically significant (p &lt; 0.0001). In comparison, using Stein et al. models with our data reported a PPV of 0.27 and 0.25 which are basically at the same level of our best trained model. Conclusions: Using the variables included in A-PROACCT and a variety of machine learning models, advanced sampling methodologies and threshold cut-off limits, the best results were similar to those obtained using basic logistic regression. This suggests improvement in predicting acute care events following chemotherapy administration need to incorporate more extensive multimodal data, such as vital signs, performance status, patient reported outcomes, socioeconomic factors, laboratory and radiology results, remote patient monitoring and wearable device data.

Independent validation of 30-day emergency department visit after initial chemotherapy A-PROACCT model.

e23243 Background: This study assessed model performance and, more importantly, the clinical usefulness of the PROACCT model created by Grant et al. (JAMA, 2019), refined as A-PROACCT by Stein et al. (JOP, 2023) with data from Orlando Health. The predictive performance of models anticipating acute care events within thirty days (ACE30) of initial chemotherapy administration (ICA) were evaluated. Methods: Stein et al. models classified high-risk patients as those whose model output risk score was at or above the 90th percentile. They studied 5153 ICAs between July and November of 2021, of which 559 (10.8%) had an ACE30. Their first model used drug category, age group, ED visits and hospitalizations in the prior year, and cancer type, and had sensitivity (Sen), specificity, (Spec), C-Statistic (C-Stat), and positive predictive value (PPV) of 0.28, 0.93, 0.79 and 0.18 respectively. Their second model added insurance category, number of anti-cancer agents, race, and BMI category and reported Sen, Spec, C-Stat, and PPV of 0.30, 0.94, 0.80 and 0.23 respectively. Of the high-risk patients, 33.6% and 34.1% had an ACE30 respectively. Of the low-risk patients, 8.3% and 8.1% had an ACE30 respectively. Our data were propagated through the two models. Results: Between February of 2012 and April 2021, Orlando Health had 15,483 distinct patient visits with ICAs. Overall, 2046 (13.2%) had an ACE30. Model one had Sen, Spec, C-Stat, and PPV of 0.19, 0.92, 0.65 and 0.27 respectively. Model two had Sen, Spec, C-Stat, and PPV of 0.19, 0.91, 0.65 and 0.25 respectively. Both models had an accuracy of 0.82. This demonstrated our data fit the Stein model. Of the 1460 ICAs identified as high-risk by model one, 387 (26.5%) had an ACE30, and of the 14,023 ICAs identified as low-risk, 1659 (11.8%) had an ACE30. Of the 1549 ICAs identified as high-risk by model two, 393 (25.4%) had an ACE30, and of the 13,934 ICAs identified as low-risk, 1653 (11.9%) had an ACE30. The difference of ACE30 rates between high risk and low risk groups were statistically significant (p &lt; 0.0001) in both models. This demonstrated both models were clinically useful in identifying chemotherapy patients at high risk of acute care events. Conclusions: These models allowed for clinically relevant stratification of patients into meaningful high-risk and low-risk groups (26.5% vs 11.8% with our data) for risk of acute care events within 30 days of initial chemotherapy administration. Nevertheless, only 26.5% of these high-risk patients actually had an acute care event within thirty days of initial chemotherapy administration. Further research is needed to improve the precision of identifying high-risk patients, by potentially adding more clinical variables, using alternative sampling methods, and employing nonlinear and more complex machine learning methodologies.

Segregated in Life and Death: Arnold R. Rich and the Racial Science of Tuberculosis

summary: Arnold Rich (1893–1968) was an acclaimed pathologist and the first Jewish department chair at the Johns Hopkins School of Medicine. In his landmark text, The Pathogenesis of Tuberculosis , Rich continued to advance the concept of racial susceptibility to tuberculosis a decade after mainstream medicine recognized that environmental factors fueled the disease. While Rich fits into the historical narrative that embedded categories of race facilitated scientific racism, two characteristics unique to Rich help to explain why he persisted. First were the scientific origins of his theories. While racial theorists sought to prove racial difference through science, Rich used racial difference to prove his outlying theories of tuberculosis immunology. Second was his identity as a prewar Jewish person when America’s focus on a racial binary pressured Jewish Americans to assimilate into white culture. Rich’s life and research exemplify how examining scientific racism through an individual complicates and expands our understanding of how race is constructed in the United States.