Racial Differences Research Articles

Evaluation of regional variation in racial and ethnic differences in patient experience among Veterans Health Administration primary care users.

To evaluate racial and ethnic differences in patient experience among VA primary care users at the Veterans Integrated Service Network (VISN) level. We performed a secondary analysis of the VA Survey of Healthcare Experiences of Patients-Patient Centered Medical Home for fiscal years 2016-2019. We compared 28 patient experience measures (six each in the domains of access and care coordination, 16 in the domain of person-centered care) between minoritized racial and ethnic groups (American Indian or Alaska Native [AIAN], Asian, Black, Hispanic, Multi-Race, Native Hawaiian or Other Pacific Islander [NHOPI]) and White Veterans. We used weighted logistic regression to test differences between minoritized and White Veterans, controlling for age and gender. We defined meaningful difference as both statistically significant at two-tailed p < 0.05 with a relative difference ≥10% or ≤-10%. Within VISNs, we included tests of group differences with adequate power to detect meaningful relative differences from a minimum of five comparisons (domain agnostic) per VISN, and separately for a minimum of two for access and care coordination and four for person-centered care domains. We report differences as disparities/large disparities (relative difference ≥10%/≥ 25%), advantages (experience worse or better, respectively, than White patients), or equivalence. Our analytic sample included 1,038,212 Veterans (0.6% AIAN, 1.4% Asian, 16.9% Black, 7.4% Hispanic, 0.8% Multi-Race, 0.8% NHOPI, 67.7% White). Across VISNs, the greatest proportion of comparisons indicated disparities for three of seven eligible VISNs for AIAN, 6/10 for Asian, 3/4 for Multi-Race, and 2/6 for NHOPI Veterans. The plurality of comparisons indicated advantages or equivalence for 17/18 eligible VISNs for Black and 12/14 for Hispanic Veterans. AIAN, Asian, Multi-Race, and NHOPI groups had more comparisons indicating disparities by VISN in the access domain than person-centered care and care coordination. We found meaningful differences in patient experience measures across VISNs for minoritized compared to White groups, especially for groups with lower population representation.

A hypothetical intervention to reduce inequities in anxiety for Multiracial people: simulating an intervention on childhood adversity.

Multiracial people report higher mean Adverse Childhood Experiences (ACEs) scores and prevalence of anxiety than other racial groups. Studies using statistical interactions to estimate racial differences in ACEs-anxiety associations do not show stronger associations for Multiracial people. Using data from Waves 1 (1995-97) through 4 (2008-09) of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we simulated a stochastic intervention over 1,000 resampled datasets to estimate the race-specific cases averted per 1,000 of anxiety if all racial groups had the same exposure distribution of ACEs as Whites. Simulated cases averted were greatest for the Multiracial group, (median = -4.17 cases per 1,000, 95% CI: -7.42, -1.86). The model also predicted smaller risk reductions for Black participants (-0.76, 95% CI: -1.53, -0.19). CIs around estimates for other racial groups included the null. An intervention to reduce racial disparities in exposure to ACEs could help reduce the inequitable burden of anxiety on the Multiracial population. Stochastic methods support consequentialist approaches to racial health equity, and can encourage greater dialogue between public health researchers, policymakers, and practitioners.

Racial Differences in Biopsychosocial Pathways to Tobacco and Marijuana Use Among Youth.

The influence of socioeconomic disparities and multidimensional stressors on youth tobacco and marijuana use is recognized; however, the extent of these effects varies among different racial groups. Understanding the racial differences in the factors influencing substance use is crucial for developing tailored interventions aimed at reducing disparities in tobacco and marijuana use among adolescents. This study aims to explore the differential effects of socioeconomic disparities and multidimensional stressors on tobacco and marijuana use between Black and White adolescents. Utilizing longitudinal data from the Adolescent Brain Cognitive Development (ABCD) study, this research includes a cohort of pre-youth, monitored from the age of 9-10years for a period of up to 36months. We examined the impact of various socioeconomic status (SES) indicators and multidimensional stressors, including trauma, financial stress, racial discrimination, and family stress, alongside baseline average cortical thickness and the subsequent initiation of tobacco and marijuana use over the 36-month follow-up. Overall, 10,777 participants entered our analysis. This included 8263 White and 2514 Black youth. Our findings indicate significant differences in the pathways from SES indicators through stress types to cortical thickness between Black and White youths. Notably, cortical thickness's impact on the future initiation of tobacco and marijuana use was present in both groups. The study suggests that compared to White adolescents, Black adolescents' substance use and associated cortical thickness are less influenced by stress and SES indicators. This discrepancy may be attributed to the compounded effects of racism, where psychosocial mechanisms might be more diminished for Black youth than White youth. These findings support the theory of Minorities' Diminished Returns rather than the cumulative disadvantage or double jeopardy hypothesis, highlighting the need for interventions that address the unique challenges faced by Black adolescents.

Black Americans' Diminished Health Returns of Professional Occupations: A Thirty-Year Follow-Up Study of Middle-Aged and Older Adults.

Occupational classes exert substantial effects on both subjective and objective health outcomes. However, it remains unclear whether the health impact of similar occupational classes varies across racial groups among middle-aged and older adults in the United States. Grounded in the theory of Minorities' Diminished Returns (MDRs), which posits that health benefits from resources such as employment are systematically weaker for racial minority populations, particularly Non-Latino Black individuals, this study tested Black-White disparities in the effects of similar occupational classes on health outcomes in middle-aged and older adults. Utilizing data from the Health and Retirement Study (HRS), we employed a 30-year longitudinal design with a nationally representative sample of middle-aged and older adults in the United States. Six occupational classes-operator, managerial, professional specialty, sales, clerical/admin, and service-served as the key predictor variables (independent variables), with race as the moderator. Various health outcomes, including self-rated health, chronic disease, body mass index (BMI), activities of daily living (ADL), and cognitive function, were measured longitudinally from wave 1 to wave 15 (from baseline to 30 years later). Statistical analyses, incorporating logistic regression models, were conducted to assess associations between occupational class and health outcomes overall and based on race. Our analysis included 7538 Non-Latino White or Non-Latino Black participants followed for up to 30 years. Initial findings revealed positive health effects of professional occupations on cognitive function and self-rated health over 30 years of follow-uWe also identified significant interactions between race and professional occupational class on all health outcomes, indicating notable racial differences in the effects of professional occupations on health outcomes across domains. The effects of professional occupational class were weaker for Non-Latino Black individuals than for Non-Latino White individuals. Consistent with the Minorities' Diminished Returns theory, our findings indicated less pronounced positive effects of professional occupations on a wide range of health outcomes for Non-Latino Black individuals compared to Non-Latino Whites. These disparities emphasize the critical need to address structural factors that contribute to the diminished returns of prestigious occupations for Non-Latino Black populations.

Exploring Health Information-Seeking Behavior and Information Source Preferences Among a Diverse Sample of Cancer Survivors: Implications for Patient Education.

This study examined health information-seeking behavior among cancer survivors, including informational sources used and the factors correlated with information-seeking across different racial/ethnic groups. We used data from the Health Information National Trends Survey (2017-2022). Adjusted logistic regression was conducted to identify the predictors of information-seeking by race/ethnicity. Predicting variables were organized into demographic (age, education, race, income, and comorbidity), enabling (having health insurance, having a regular provider, and frequency of care visits), predisposing (quality of care, self-efficacy, and confidence in one's ability to get information), and reinforcing (patient-centered communication, ease of getting information, and confusing information available) factors based on the PRECEDE-PROCEED Model. We included 4723 cancer survivors, of which 15.41% have breast cancer, 17.50% have skin cancer, and 11.11% have prostate cancer. A majority (75.08%) had sought health information. Healthcare providers were the most preferred sources of information across demographic groups, followed by the Internet. Health insurance, a regular provider, and frequent visits were enabling factors that positively influenced information-seeking behavior. Confidence in getting information when needed and self-efficacy were predisposing factors positively associated with the information-seeking behavior. Finally, reinforcing factors (ease of getting information and non-confusion of the information available) were also positively associated with information-seeking. Study findings suggest that one-fourth of cancer survivors had not sought cancer-related information. The results have implications for identifying patients at increased risk for unmet information needs. They also contribute to our understanding of critical racial differences and similarities. Further, findings can help guide interventions to assist in information seeking based on patient preferences.

Racial and Temporal Differences in Fertility-Education Trade-Offs Reveal the Effect of Economic Opportunities on Optimum Family Size in the United States.

Contemporary trends in low fertility can in part be explained by increasing incentives to invest in offspring's embodied capital over offspring quantity in environments where education is a salient source of social mobility. However, studies on this subject have often neglected to empirically examine heterogeneity, missing out on the opportunity to investigate how this relationship is impacted when individuals are excluded from meaningful participation in economic spheres. Using General Social Survey data from the United States, I examine changes in the relationship between number of siblings and college attendance for White and Black respondents throughout the 1900s. Results show that in the early 1900s, White individuals from larger families had a lower chance of completing four years of college education than those from smaller families, whereas the likelihood for Black individuals was more uniform across family sizes. These racial differences mostly converged in the later part of the century. These results may help explain variations in the timing of demographic transitions within different racial groups in the United States and suggest that the benefits of decreasing family size on educational outcomes may be conditional on the specific economic opportunities afforded to a family.

Maternal pre-pregnancy diet and prenatal depression: The mediating role of pre-pregnancy weight status and prenatal inflammation.

Depression is a common prenatal psychological complication. We aimed to investigate if maternal pre-pregnancy diet can impact prenatal depressive symptoms, and the mediating role of pre-pregnancy body mass index (BMI) and inflammation. We used data (N=1141) from the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study. We calculated Mediterranean diet adherence (MED) and dietary inflammatory index (DII) scores using data from pre-pregnancy food frequency questionnaire (FFQ). In the 3rd-trimester, we assessed depressive symptoms using Edinburgh Postpartum Depression Scale (EPDS), and inflammation through serum C-reactive protein (CRP) levels. BMI was calculated from self-reported pre-pregnancy weight. Race-stratified analyses (white and people of color) were run. We observed no association between MED or DII tertiles and depressive symptoms. However, white participants in the MED tertile-3 had lower risk of depression (EPDS<10) compared to tertile-1 (OR=0.56, 95% CI, 0.33, 0.95). White individuals in MED tertile-3 had lower BMI (MD=-1.08; 95%CI, -1.77, -0.39), and CRP (MD=-0.53; 95%CI, -0.95, -0.11) than tertile-1, and those in DII tertile-2 (MD=0.44;95%CI, 0.03, 0.84) and tertile-3 (MD=0.42; 95%CI, 0.01, 0.83) had higher CRP than tertile-1. Among people of color, neither MED nor DII were associated with BMI or CRP, but BMI was negatively associated with depressive symptoms (β=-0.25, 95%CI, -0.43, -0.06). We found no association between diet and depressive symptoms through BMI or CRP, in either race. Pre-pregnancy diet might affect the risk of prenatal depression in a race-specific way. Further research is required to explore the racial differences in the association between maternal diet and prenatal depressive symptoms/depression risk.

Collective bargaining, police pay, and racial differences in police lethality rates

ABSTRACT This study examines the interaction effects of police collective bargaining authorization and police pay on racial differences in police-related fatalities. Using data from Fatal Encounters, the Bureau of Justice Statistics, and other publicly available databases, we applied entropy-weighted regressions to a balanced panel of 282 local police departments from 2000 to 2013 in the United States. We found that collective bargaining authorization is not directly associated with police-caused deaths. However, results indicate that higher median salaries for city police officers directly and meaningfully contribute to fewer people killed by police actions. When considering interactive effects, our findings suggest that police unionization offsets the life-saving benefits of higher relative pay, leading to more Black citizens dying from police intervention as salaries increase in agencies with collective bargaining authorization. Our findings demonstrate authorities should consider the potentially fatal and inequitable consequences for citizens during collective bargaining and salary-setting negotiations.

Comparing the Fagerström Test and Heaviness of Smoking Index in Predicting Smoking Abstinence in Cancer Patients.

People with cancer who smoke exhibit greater cigarette dependence than people without cancer who smoke, a crucial factor in smoking cessation. Research is limited on the predictive potential of the Fagerström Test for Cigarette Dependence (FTCD) and the Heaviness of Smoking Index (HSI) on smoking abstinence in cancer patients undergoing smoking cessation treatment. We analyzed data from 5,934 cancer patients seeking smoking cessation treatment at The University of Texas MD Anderson Cancer Center (female 52.08%; Mean age = 55.52, SD = 11.17). We evaluated the predictive accuracy of FTCD and HSI on abstinence at 3-, 6-, and 9-months from first consultation, and assessed the concordance between these tools in measuring cigarette dependence using Cohen's kappa test and different correlation and regression models. We also analyzed variations across sex at birth and race/ethnicity. Both the FTCD and the HSI demonstrated comparable predictive accuracy for smoking cessation at all follow-ups, with neither showing high accuracy (Areas Under the Curve scores around 0.6). Concordance analysis revealed substantial agreement between FTCD and HSI scores (Cohen's kappa ~ 0.7), particularly at lower levels of dependence. However, this agreement varied by race, with reduced concordance observed in Non-Hispanic Blacks. Our results indicate that both the FTCD and HSI are effective tools for predicting smoking cessation in cancer patients, with the HSI offering a less burdensome assessment option. Nevertheless, the findings suggest the need for tailored approaches in assessing cigarette dependence that could predict smoking cessation more accurately, considering racial differences. The burden of assessing cigarette dependence in cancer care settings can be reduced by using the HSI instead of the FTCD. In addition, both instruments could be substantially interchanged and used for meta-analytic studies examining dependence and abstinence, but race/ethnicity should be considered.

Depression and anxiety in Greek heart failure patients who received a cardiac resynchronization therapy device and did not receive shock therapy during a 12-month follow-up

Abstract Background/Introduction Cardiac resynchronization therapy (CRT) represents an effective therapy in selected heart failure with reduced ejection fraction (HFrEF) patients. There are racial, social, geographical, and ethnic differences in the perception of cardiac device therapies as well as in the associated depression and anxiety status. Regarding psychological status indexes in CRT patients, heterogenous results have been reported while data on their variation over time are limited. No relative data regarding Greek patients have been published in the literature. Purpose We aimed to study psychological status and quality of life validated parameters at baseline as well as their variation at 6 and 12 months after implantation of a CRT device in Greek adult patients with HFrEF. Methods We recruited consecutive HFrEF adult patients who were implanted a CRT device (defibrillator or pacemaker). From the present analysis we excluded patients who suffered defibrillator shocks, those with neuropsychiatric disorders, and those with severe chronic medical illnesses or disabilities. Baseline demographic, clinical, laboratory, electrocardiographic, and echocardiographic parameters were carefully recorded. The following scores were assessed at baseline as well as 6 and 12 months after implantation: Minnesota Living with Heart Failure (MLHF), GAD-7 Anxiety, and PHQ-9 Depression. The variation of these scores over time was examined using the non-parametric Friedman’s test. Potential correlations of the baseline scores with other parameters were examined using the Spearman rank test. Comparison of these scores between different groups of patients was examined using the Mann-Whitney U test. Results The initial study population consisted of 105 patients, but after excluding 8 patients who experienced defibrillator shocks, we finally analyzed 97 patients (median age: 72 [64-76.5] years, 76% men). Six patients died during the 12-month follow-up. At baseline the MLHF score was 37 [20 - 56], at 6 months it was 1 [0 – 8], and at 12 months 0.5 [0-10]. The PHQ-9 score for depression at baseline was 9 [3.75 – 14.25], at 6 months it was 0.5 [0 – 2], and at 12 months it was 0.25 [0 – 1.5]; p &amp;lt;0.01. The GAD-7 anxiety score at baseline was 8 [2 – 16], at 6 months it was 0.5 [0 – 2], and at 12 months it was 0.5 [0 – 2.5]; p &amp;lt;0.01. At baseline 29% of patients had PHQ-9 score &amp;lt;5, namely minimal depression; and 35% had GAD-7 score &amp;lt;5, namely minimal anxiety. The baseline PHQ-9 and GAD-7 scores did not correlate to any other parameter while there were no differences between different patient groups. Baseline PHQ-9 and GAD-7 scores demonstrated strong correlation with the baseline MLHF score (p &amp;lt;0.01). Conclusions In Greek patients with HFrEF who were implanted a CRT device, depression was present in 71% and anxiety in 65% of them. The indexes of quality of life, anxiety, and depression were markedly reduced during the 12-month follow-up.

Soluble CD14 and Incident Diabetes Risk: the REasons for Geographic and Racial Differences in Stroke (REGARDS) study

Abstract Context Soluble CD14 (sCD14) is an inflammation biomarker with higher concentrations in White than Black adults. Higher sCD14 is seen in insulin resistance and diabetes. There are limited data on the relationship between sCD14 and incident diabetes. Objective To determine the association of sCD14 with incident diabetes risk in a large biracial US cohort and evaluate whether relationships differ by race. Design This study included 3401 Black and White participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study without baseline diabetes who completed baseline and follow up in-home visits. Modified Poisson regression models estimated risk ratios (RR) of incident diabetes per 1-SD increment sCD14 with adjustment for risk factors. A sCD14-by-race interaction evaluated whether associations differed by race. Results There were 460 cases of incident diabetes over a mean 9.5 years of follow-up. The association of sCD14 with diabetes differed by race (p-interaction &amp;lt; 0.09). Stratifying by race, adjusting for age, sex, and region, higher sCD14 was associated with incident diabetes in White (RR: 1.15; 95% CI: 1.01, 1.33) but not Black participants (RR: 0.96; 95% CI: 0.86, 1.08). In models adjusted for clinical and sociodemographic diabetes risk factors, the association was attenuated among White participants (RR: 1.10; 95% CI: 0.95, 1.28) and remained null among Black participants (RR: 0.90; 95% CI: 0.80, 1.01). Conclusions sCD14 was associated with incident diabetes risk in White but not Black adults, but this association was explained by diabetes risk factors.

#1336 Serotonin levels in hemodialysis patients with Long COVID-associated cognitive impairment

Abstract Background and Aims Long COVID comprises a broad range of persistent symptoms that emerge after COVID-19 and can last for months or years and have a direct impact on daily life. Cognitive impairment and loss of short-term memory are examples of symptoms associated with long COVID. To date, there are neither generally agreed-upon diagnostic criteria nor effective treatments available. A recent study found an association of serotonin deficiency and long COVID in the general population [1], leading to vagal dysfunction and impaired cognition. In this study, we aimed to evaluate longitudinal serotonin levels in hemodialysis (HD) patients with or without cognitive symptoms associated with long COVID. Method We analyzed routinely collected serum samples (n = 102) from 16 HD patients collected between 60 days before and 60 days after a positive SARS-CoV-2 RT-PCR. Metabolites were extracted using cold methanol and subjected to reverse phase liquid chromatography/mass spectrometry (LC/MS). Serotonin was identified by matching retention time, accurate mass, and fragmentation data against an in-house LC/MS library. Log2 of serotonin signal intensity was used for quantification. The COVID-19 Yorkshire Rehabilitation Scale (C19-YRS) was administered shortly after positive RT-PCR test, as well as 1- and 6-months post-COVID. Patients were classified as having cognitive symptoms if they reported short-term memory loss or difficulties with concentration or communication problems as per C19-YRS. Unpaired t-test or Fisher's exact tests were performed to compare characteristics of patients with and without cognitive symptoms. We defined three study periods relative to the date of COVID-19 diagnosis: –60 to –15 days (baseline); –14 to +14 days (acute COVID); and +15 to +60 days (post-COVID). Differences in serotonin signal intensity (log2) between patients with and without cognitive symptoms were evaluated with unpaired t-tests. Linear mixed effects models with random intercepts were constructed to determine changes in serotonin levels over time with the baseline period as the comparator. This research was funded by the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK130067). Results Demographic data are presented in Table 1a. Of the 16 patients, 7 (44%) were classified with cognitive symptoms associated with long COVID. There were no differences in age, sex, race, ethnicity, vintage, diabetes, and hypertension between patients with and without cognitive symptoms. Serotonin levels in patients with vs. without cognitive symptoms did not significantly differ at baseline and during acute COVID (Fig. 1). Of note, in the post-COVID phase, serotonin levels were significantly lower in the group with impaired cognition (p = 0.012) compared to symptoms-free patients (Fig. 1). Within each group, serotonin levels remained unchanged at acute-COVID or post-COVID periods compared to baseline (Table 1b). Conclusion We show that HD patients with impaired cognition have lower serotonin in the post-COVID phase compared to patients without cognitive symptoms. These results corroborate findings in the general population. Further investigation in a larger cohort is warranted to evaluate the potential of serotonin as a target for the prevention or as a marker of neurocognitive symptoms associated with long COVID.

Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis.

Individuals from minoritized racial and ethnic backgrounds experience pernicious and pervasive health disparities that have emerged, in part, from clinician bias. We used a natural language processing approach to examine whether linguistic markers in electronic health record (EHR) notes differ based on the race and ethnicity of the patient. To validate this methodological approach, we also assessed the extent to which clinicians perceive linguistic markers to be indicative of bias. In this cross-sectional study, we extracted EHR notes for patients who were aged 18 years or older; had more than 5 years of diabetes diagnosis codes; and received care between 2006 and 2014 from family physicians, general internists, or endocrinologists practicing in an urban, academic network of clinics. The race and ethnicity of patients were defined as White non-Hispanic, Black non-Hispanic, or Hispanic or Latino. We hypothesized that Sentiment Analysis and Social Cognition Engine (SEANCE) components (ie, negative adjectives, positive adjectives, joy words, fear and disgust words, politics words, respect words, trust verbs, and well-being words) and mean word count would be indicators of bias if racial differences emerged. We performed linear mixed effects analyses to examine the relationship between the outcomes of interest (the SEANCE components and word count) and patient race and ethnicity, controlling for patient age. To validate this approach, we asked clinicians to indicate the extent to which they thought variation in the use of SEANCE language domains for different racial and ethnic groups was reflective of bias in EHR notes. We examined EHR notes (n=12,905) of Black non-Hispanic, White non-Hispanic, and Hispanic or Latino patients (n=1562), who were seen by 281 physicians. A total of 27 clinicians participated in the validation study. In terms of bias, participants rated negative adjectives as 8.63 (SD 2.06), fear and disgust words as 8.11 (SD 2.15), and positive adjectives as 7.93 (SD 2.46) on a scale of 1 to 10, with 10 being extremely indicative of bias. Notes for Black non-Hispanic patients contained significantly more negative adjectives (coefficient 0.07, SE 0.02) and significantly more fear and disgust words (coefficient 0.007, SE 0.002) than those for White non-Hispanic patients. The notes for Hispanic or Latino patients included significantly fewer positive adjectives (coefficient -0.02, SE 0.007), trust verbs (coefficient -0.009, SE 0.004), and joy words (coefficient -0.03, SE 0.01) than those for White non-Hispanic patients. This approach may enable physicians and researchers to identify and mitigate bias in medical interactions, with the goal of reducing health disparities stemming from bias.

Racial and ethnic differences in epithelial ovarian cancer risk: an analysis from the Ovarian Cancer Association Consortium.

Limited estimates exist on risk factors for epithelial ovarian cancer (EOC) in Asian, Hispanic, and Native Hawaiian/Pacific Islander (NHPI) women. Participants included 1734 Asian (785 cases, 949 controls), 266 NHPI (99 cases, 167 controls), 1149 Hispanic (505 cases, 644 controls), and 24,189 White (9,981 cases, 14,208 controls) women from 11 studies in the Ovarian Cancer Association Consortium. Logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) for risk associations by race and ethnicity. Heterogeneity in EOC risk associations by race and ethnicity (p ≤ 0.02) was observed for oral contraceptive (OC) use, parity, tubal ligation and smoking. We observed inverse associations with EOC risk for OC use and parity across all groups; associations were strongest in NHPI and Asian women. The inverse association for tubal ligation with risk was most pronounced for NHPI participants (OR=0.25, 95% CI 0.13-0.48), versus Asian and White participants, respectively (OR=0.68, 95% CI 0.51-0.90; OR=0.78, 95% CI 0.73-0.85). Differences in EOC risk factor associations were observed across racial and ethnic groups, which could in part be due to varying prevalence of EOC histotypes. Inclusion of greater diversity in future studies is essential to inform prevention strategies.

Racial and Ethnic Disparities in COVID-19 Mortality

This cross-sectional study examines racial and ethnic differences in COVID-19 mortality in the United States across 4 case surges between February 2020 and September 2023.

Racial and Ethnic Inequities in Cancer Care Continuity During the COVID-19 Pandemic Among Those With SARS-CoV-2

Racially and ethnically minoritized US adults were disproportionately impacted by the COVID-19 pandemic and experience poorer cancer outcomes, including inequities in cancer treatment delivery. To evaluate racial and ethnic disparities in cancer treatment delays and discontinuations (TDDs) among patients with cancer and SARS-CoV-2 during different waves of the COVID-19 pandemic in the United States. This cross-sectional study used data from the American Society of Clinical Oncology Survey on COVID-19 in Oncology Registry (data collected from April 2020 to September 2022), including patients with cancer also diagnosed with SARS-CoV-2 during their care at 69 US practices. Racial and ethnic differences were examined during 5 different waves of the COVID-19 pandemic in the United States based on case surge (before July 2020, July to November 2020, December 2020 to March 2021, April 2021 to February 2022, and March to September 2022). Race and ethnicity. TDD was defined as any cancer treatment postponed more than 2 weeks or cancelled with no plans to reschedule. To evaluate TDD associations with race and ethnicity, adjusted prevalence ratios (aPRs) were estimated using multivariable Poisson regression, accounting for nonindependence of patients within clinics, adjusting for age, sex, body mass index, comorbidities, cancer type, cancer extent, and SARS-CoV-2 severity (severe defined as death, hospitalization, intensive care unit admission, or mechanical ventilation). A total of 4054 patients with cancer and SARS-CoV-2 were included (143 [3.5%] American Indian or Alaska Native, 176 [4.3%] Asian, 517 [12.8%] Black or African American, 469 [11.6%] Hispanic or Latinx, and 2747 [67.8%] White; 2403 [59.3%] female; 1419 [35.1%] aged 50-64 years; 1928 [47.7%] aged ≥65 years). The analysis focused on patients scheduled (at SARS-CoV-2 diagnosis) to receive drug-based therapy (3682 [90.8%]), radiation therapy (382 [9.4%]), surgery (218 [5.4%]), or transplant (30 [0.7%]), of whom 1853 (45.7%) experienced TDD. Throughout the pandemic, differences in racial and ethnic inequities based on case surge with overall TDD decreased over time. In multivariable analyses, non-Hispanic Black (third wave: aPR, 1.56; 95% CI, 1.31-1.85) and Hispanic or Latinx (third wave: aPR, 1.35; 95% CI, 1.13-1.62) patients with cancer were more likely to experience TDD compared with non-Hispanic White patients during the first year of the pandemic. By 2022, non-Hispanic Asian patients (aPR, 1.51; 95% CI, 1.08-2.12) were more likely to experience TDD compared with non-Hispanic White patients, and non-Hispanic American Indian or Alaska Native patients were less likely (aPR, 0.37; 95% CI, 0.16-0.89). In this cross-sectional study of patients with cancer and SARS-CoV-2, racial and ethnic inequities existed in TDD throughout the pandemic; however, the disproportionate burden among racially and ethnically minoritized patients with cancer varied across SARS-CoV-2 waves. These inequities may lead to downstream adverse impacts on cancer mortality among minoritized adults in the United States.

A person-centered approach to characterizing longitudinal ambulatory impairment in Parkinson's disease

Loss of ambulation is common and highly variable in Parkinson’s disease (PD), and poorly understood from the perspectives of those with PD. Gaining insights to the anticipated perceived trajectories and their drivers, will facilitate patient-centered care. Latent class growth analysis, a person-centered mixture modelling approach, was applied to 16,863 people with PD stratified by early (N = 8612; < 3 years), mid (N = 6181; 3–10 years) and later (N = 2070; > 10 years) disease to discern clusters with similar longitudinal patterns of self-reported walking difficulty, measured by EuroQoL 5D-5L that is validated for use in PD. There were four clusters in early and mid-disease strata, with a fifth identified in later disease. Trajectories ranged from none to moderate walking difficulty, with small clusters with severe problems. The percentage of subjects with moderate (early = 17.5%, mid = 26.4%, later = 32.5%) and severe (early = 3.8%, mid = 7.4%, later = 15.4%) walking difficulty at baseline increased across disease duration groups. The trajectories tended to be stable with variability in moderate and severe groups. Across strata, clusters with moderate to severe problems were associated with more severe impairment, depression, anxiety, arthritis, higher BMI, lower income, and lower education, but no consistent race or gender differences. The findings reveal distinct longitudinal patterns in perceived difficulties in walking in PD.

Abstract A008: Racial differences in characteristics and outcomes of adjuvant nivolumab for muscle-invasive urothelial carcinoma (MIUC) in the real-world setting

Abstract Objectives: Historically, African-American/Black patients with bladder cancer have worse clinical outcomes compared with White/Caucasian patients. In the CheckMate 274 trial, nivolumab demonstrated a significant improvement in disease-free survival compared with placebo among patients with MIUC at high risk of recurrence following radical surgery; however, African-American/Black patients were underrepresented (&amp;lt; 1%). The objective of this analysis was to describe the characteristics and outcomes of MIUC patients treated with adjuvant nivolumab across different racial subgroups in a real-world setting. Methods: This US retrospective medical chart review included African-American/Black and White/Caucasian patients with MIUC treated with adjuvant nivolumab following radical resection between 01-Sep-2021 and 10-Sep-2022. Patient characteristics and outcomes were abstracted from the medical charts by treating oncologists. Patient characteristics and landmark survival estimates based on Kaplan-Meier analyses were summarized descriptively. Results: The analysis included 223 patients (African-American/Black: 62; White/Caucasian: 161). A numerically higher proportion of African-American/Black vs White/Caucasian patients, respectively, was male (74.2% vs 66.5%), less than 60 years old (27.4% vs 20.5%), unemployed (16.1% vs 5.6%), and had Medicaid at therapy initiation (14.5% vs 6.2%). Similar proportions in both groups had ECOG performance status 0-1 (82.3% vs 82.6%), received neoadjuvant therapy (58.1% vs 56.5%), and completed adjuvant therapy (67.7% vs 66.5%). The median follow-up time (12.5 months vs 13.1 months) and median duration of adjuvant therapy (11.0 months vs 11.3 months) were comparable. Similar estimates were observed for 12-month overall survival (96.7% vs 91.4%), 12-month disease-free survival (88.3% vs 88.4%), and 12-month distant metastasis-free survival (88.3% vs 88.4%). Conclusions: Despite higher rates of socio-economic risk factors among African-American/Black patients, this real-world study suggests similar effectiveness of adjuvant nivolumab among MIUC patients across African-American/Black and White/Caucasian patient populations. Citation Format: Regina Barragan-Carrillo, Alexander Chehrazi-Raffle, Bruce Feinberg, William S. John, Taavy A. Miller, Sarah Lucht, Prathamesh Pathak, Emily Bland, Sarah Gordon, JaLyna Laney, Andrew J. Klink, Hedyeh Ebrahimi, Nisha Singh, Carmelo Alonso, Miraj Patel, Lisa Rosenblatt, Xin Yin. Racial differences in characteristics and outcomes of adjuvant nivolumab for muscle-invasive urothelial carcinoma (MIUC) in the real-world setting [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr A008.

Racial, Ethnic, and Geographic Differences in Vaginal Birth After Cesarean Delivery in the US, 2011-2021

This cross-sectional study examines racial, ethnic, and geographic differences in vaginal birth after cesarean delivery in the US, from 2011 to 2021.

Racial and Ethnic Disparities in Postpartum Depressive Symptoms Before and During the COVID-19 Pandemic.

Background: Existing evidence regarding the impact of the COVID-19 pandemic on postpartum mental health is mixed, with disparate studies showing increased, stable, or even reduced risk of postpartum depression (PPD) amid the pandemic. Furthermore, although it is plausible that the pandemic impacted the mental health of mothers from vulnerable and underserved communities differentially, few studies have characterized racial and ethnic differences in the impact of the COVID-19 pandemic on PPD. Materials and Methods: Pregnancy Risk Assessment Monitoring System data for 2018-2019 (pre-pandemic period) and 2020 (peri-pandemic period) from 40 sites (n = 110,779, representing 5,485,137 postpartum women) were used to determine whether rates of PPD changed during the first year of the pandemic. Postpartum depressive symptoms were assessed using the Patient Health Questionnaire 2-item. Average marginal effects and contrasts of predictive margins derived from a multivariable logistic regression model were used to compare the risk of PPD before and during the pandemic in the overall sample and across racial/ethnic subgroups. Results: Adjusting for sociodemographic and clinical characteristics, we found that the overall risk for PPD remained stable (0.0 percentage points [pp]; 95% confidence interval [CI]: -0.7, 0.6 pp) in the first year of the pandemic. We detected no statistically significant changes in risk for PPD across seven of eight racial/ethnic groups considered; however, the risk of PPD among non-Hispanic Black women fell by 2.0 pp (95% CI: -3.5, -0.4 pp) relative to the pre-pandemic period. Conclusion: We identified important subgroup differences in pandemic-related changes in risk for PPD.