Disparities in incidence and survival for patients with Ewing sarcoma in Florida.

BACKGROUND: Ewing sarcoma (ES) is a malignant bone tumor most commonly affecting non-Hispanic White (NHW) adolescent males, though recognition among Hispanic individuals is rising. Prior population-based studies in the United States (US), utilizing Surveillance, Epidemiology, and End Results (SEER) have shown higher all-cause mortality among White Hispanics, Blacks, and those of low socioeconomic status (SES). Florida is not part of SEER but is home to unique Hispanic populations including Cubans, Puerto Ricans, South Americans that contrasts with the Mexican Hispanic majority in other US states. This study aimed to assess racial/ethnic disparities on incidence and survival outcomes among this diverse Florida patient population. METHODOLOGY: Our study examined all patients diagnosed with osseous ES (2005-2018) in Florida (n = 411) based on the state's population-based cancer registry dataset. Florida Age-adjusted Incidence Rates (AAIRs) were computed by sex and race-ethnicity and compared to the equivalent populations in SEER. Cause-specific survival disparities among Florida patients were examined using Kaplan-Meier analysis. Univariable and multivariable analyses using Cox regression were performed for race/ethnicity, with adjustment for age, sex, year of diagnosis, site of disease, staging, SES, and insurance type. RESULTS: There was a significantly higher incidence of osseous ES in Florida Hispanic males (AAIR 2.6/1,000,000); (95% CI: 2.0-3.2 per 1,000,000; n = 84) compared to the SEER Hispanic males (AAIR 1.2/1,000,000;1.1-1.4 per 1,000,000; n = 382). Older age, distant metastasis, lack of chemotherapy or surgical resection were statistically significant determinants of poor survival while SES, insurance status and race-ethnicity were not. However, among nonmetastatic ES, Florida Hispanics had an increased risk of death compared to Florida NHW (adjusted Hazard Ratio 2.32; 95%CI: 1.20-4.46; p = 0.012). CONCLUSIONS: Florida Hispanic males have a higher-than-expected incidence of osseous ES compared to the US. Hispanics of both sexes show remarkably worse survival for nonmetastatic disease compared to NHW. This disparity is likely multifactorial and requires further in-depth studies.

Differences in Donor Heart Acceptance by Race and Gender of Patients on the Transplant Waiting List.

Importance: Barriers to heart transplant must be overcome prior to listing. It is unclear why Black men and women remain less likely to receive a heart transplant after listing than White men and women. Objective: To evaluate whether race or gender of a heart transplant candidate (ie, patient on the transplant waiting list) is associated with the probability of a donor heart being accepted by the transplant center team with each offer. Design, Setting, and Participants: This cohort study used the United Network for Organ Sharing datasets to identify organ acceptance with each offer for US non-Hispanic Black (hereafter, Black) and non-Hispanic White (hereafter, White) adults listed for heart transplant from October 18, 2018, through March 31, 2023. Exposures: Black or White race and gender (men, women) of a heart transplant candidate. Main Outcomes and Measures: The main outcome was heart offer acceptance by the transplant center team. The number of offers to acceptance was assessed using discrete time-to-event analyses, nonparametrically (stratified by race and gender) and parametrically. The hazard probability of offer acceptance for each offer was modeled using generalized linear mixed models adjusted for candidate-, donor-, and offer-level variables. Results: Among 159 177 heart offers with 13 760 donors, there were 14 890 candidates listed for heart transplant; 30.9% were Black, 69.1% were White, 73.6% were men, and 26.4% were women. The cumulative incidence of offer acceptance was highest for White women followed by Black women, White men, and Black men (P < .001). Odds of acceptance were less for Black candidates than for White candidates for the first offer (odds ratio [OR], 0.76; 95% CI, 0.69-0.84) through the 16th offer. Odds of acceptance were higher for women than for men for the first offer (OR, 1.53; 95% CI, 1.39-1.68) through the sixth offer and were lower for the 10th through 31st offers. Conclusions and Relevance: The cumulative incidence of heart offer acceptance by a transplant center team was consistently lower for Black candidates than for White candidates of the same gender and higher for women than for men. These disparities persisted after adjusting for candidate-, donor-, and offer-level variables, possibly suggesting racial and gender bias in the decision-making process. Further investigation of site-level decision-making may reveal strategies for equitable donor heart acceptance.

Understanding mechanisms of racial disparities in breast cancer: an assessment of screening and regular care in the Carolina Breast Cancer Study.

PURPOSE: Screening history influences stage at detection, but regular preventive care may also influence breast tumor diagnostic characteristics. Few studies have evaluated healthcare utilization (both screening and primary care) in racially diverse screening-eligible populations. METHODS: This analysis included 2,058 women age 45-74 (49% Black) from the Carolina Breast Cancer Study, a population-based cohort of women diagnosed with invasive breast cancer between 2008 and 2013. Screening history (threshold 0.5 mammograms per year) and pre-diagnostic healthcare utilization (i.e. regular care, based on responses to "During the past ten years, who did you usually see when you were sick or needed advice about your health?") were assessed as binary exposures. The relationship between healthcare utilization and tumor characteristics were evaluated overall and race-stratified. RESULTS: Among those lacking screening, Black participants had larger tumors (5 + cm) (frequency 19.6% vs 11.5%, relative frequency difference (RFD) = 8.1%, 95% CI 2.8-13.5), but race differences were attenuated among screening-adherent participants (10.2% vs 7.0%, RFD = 3.2%, 0.2-6.2). Similar trends were observed for tumor stage and mode of detection (mammogram vs lump). Among all participants, those lacking both screening and regular care had larger tumors (21% vs 8%, RR = 2.51, 1.76-3.56) and advanced (3B +) stage (19% vs 6%, RR = 3.15, 2.15-4.63) compared to the referent category (screening-adherent and regular care). Under-use of regular care and screening was more prevalent in socioeconomically disadvantaged areas of North Carolina. CONCLUSIONS: Access to regular care is an important safeguard for earlier detection. Our data suggest that health equity interventions should prioritize both primary care and screening.

Racial and socioeconomic disparities in survival among women with advanced-stage ovarian cancer who received systemic therapy.

PURPOSE: The purpose of this study was to assess the association between race/ethnicity and all-cause mortality among women with advanced-stage ovarian cancer who received systemic therapy. METHODS: We analyzed data from the National Cancer Database on women diagnosed with advanced-stage ovarian cancer from 2004 to 2015 who received systemic therapy. Race/ethnicity was categorized as Non-Hispanic (NH) White, NH-Black, Hispanic, NH-Asian/Pacific Islander, and Other. Income and education were combined to form a composite measure of socioeconomic status (SES) and categorized into low-, mid-, and high-SES. Multivariable Cox proportional hazards models were used to assess whether race/ethnicity was associated with the risk of death after adjusting for sociodemographic, clinical, and treatment factors. Additionally, subgroup analyses were conducted by SES, age, and surgery receipt. RESULTS: The study population comprised 53,367 women (52.4% ages ≥ 65 years, 82% NH-White, 8.7% NH-Black, 5.7% Hispanic, and 2.7% NH-Asian/Pacific Islander) in the analysis. After adjusting for covariates, the NH-Black race was associated with a higher risk of death versus NH-White race (aHR: 1.12; 95% CI: 1.07,1.18), while Hispanic ethnicity was associated with a lower risk of death compared to NH-White women (aHR: 0.87; 95% CI: 0.80, 0.95). Furthermore, NH-Black women versus NH-White women had an increased risk of mortality among those with low-SES characteristics (aHR:1.12; 95% CI:1.03-1.22) and mid-SES groups (aHR: 1.13; 95% CI:1.05-1.21). CONCLUSIONS: Among women with advanced-stage ovarian cancer who received systemic therapy, NH-Black women experienced poorer survival compared to NH-White women. Future studies should be directed to identify drivers of ovarian cancer disparities, particularly racial differences in treatment response and surveillance.

Racial disparities in low-risk cesarean birth rates across hospitals.

BACKGROUND: We compared low-risk cesarean birth rates for Black and White women across hospitals serving increasing proportions of Black women and identified hospitals where Black women had low-risk cesarean rates less than or equal to White women. METHODS: In this cross-sectional analysis of secondary data from four states, we categorized hospitals by their proportion of Black women giving birth from "low" to "high". We analyzed the odds of low-risk cesarean for Black and White women across hospital categories. RESULTS: Our sample comprised 493 hospitals and the 65,524 Black and 251,426 White women at low risk for cesarean who birthed in them. The mean low-risk cesarean rate was significantly higher for Black, compared with White, women in the low (20.1% vs. 15.9%) and medium (18.1% vs. 16.9%) hospital categories. In regression models, no hospital structural characteristics were significantly associated with the odds of a Black woman having a low-risk cesarean. For White women, birthing in a hospital serving the highest proportion of Black women was associated with a 21% (95% CI: 1.01-1.44) increase in the odds of having a low-risk cesarean. DISCUSSION: Black women had higher odds of a low-risk cesarean than White women and were more likely to access care in hospitals with higher low-risk cesarean rates. The existence of hospitals where low-risk cesarean rates for Black women were less than or equal to those of White women was notable, given a predominant focus on hospitals where Black women have poorer outcomes. Efforts to decrease the low-risk cesarean rate should focus on (1) improving intrapartum care for Black women and (2) identifying differentiating organizational factors in hospitals where cesarean birth rates are optimally low and equivalent among racial groups as a basis for system-level policy efforts to improve equity and reduce cesarean birth rates.

Life-Space Mobility: Normative Values From a National Cohort of U.S. Older Adults.

BACKGROUND: Life-space mobility, which measures the distance, frequency, and independence achieved as individuals move through their community, is one of the most important contributors to healthy aging. The University of Alabama at Birmingham Life-Space Assessment (LSA) is the most commonly used measure of life-space mobility in older adults, yet U.S. national norms for LSA have not previously been reported. This study reports such norms based on age and sex among community-dwelling older adults. METHODS: A cross-sectional analysis using data from the national REasons for Geographic and Racial Disparities in Stroke cohort study. LSA data were available for 10 118 Black and White participants over age 50, which were grouped by age (in 5-year increments) and sex, weighted for the U.S. national population. Correlations were calculated between LSA and measures of functional and cognitive impairment and physical performance. RESULTS: The weighted mean LSA ranged from 102.9 for 50-54-year-old males to 69.5 for males aged 85 and older, and from 102.1 for 50-54-year-old females to 60.1 for females aged 85 and older. LSA was strongly correlated with measures of timed walking, activities of daily living, cognition, depressive symptoms, and quality of life (all p < .001). CONCLUSIONS: We report U.S. national norms for LSA among community-dwelling Black and White older adults. These norms can serve as a reference tool for determining if clinical and research samples have greater or lesser life-space mobility than typical older adults in the United States for their age and sex.

Racial Disparities in Pediatric Mortality Following Transfusion Within 72 Hours of Operation.

BACKGROUND: Postoperative bleeding and transfusion are correlated with mortality risk. Furthermore, postoperative bleeding may often initiate the cascade of complications that leads to death. Given that minority children have increased risk of surgical complications, this study aimed to investigate the association of race with pediatric surgical mortality following postoperative transfusion. METHODS: We used the NSQIP-P PUF to assemble a retrospective cohort of children <18 who underwent inpatient surgery during 2012-2021. We included White, Black, Hispanic, and 'Other' children who received a transfusion within 72 h of surgery. The primary outcome was defined as all-cause mortality within 30 days following the primary surgical procedure. Using logistic regression models, we estimated the risk-adjusted odds ratio (aOR) and 95% confidence intervals (CI) of mortality, comparing each racial/ethnic cohort to White children. RESULTS: A total of 466,230 children <18 years of age underwent inpatient surgical procedures from 2012 to 2021. Of these, 46,200 required transfusion and were included in our analysis. The majority of patients were non-Hispanic White (64.6%, n = 29,850), while 18.9% (n = 8752) were non-Hispanic Black, 11.7% (n = 5387) were Hispanic, and 4.8% (n = 2211) were 'Other' race. The overall rate of mortality following transfusion was 2.5%. White children had the lowest incidence of mortality (2.0%), compared to children of 'Other' race (2.5%), Hispanic children (3.1%), and Black children (3.6%). After adjusting for sex, age, comorbidities, case status, preoperative transfusion within 48 h, and year of operation, we found that Black children experienced 1.24 times the odds of mortality following a postoperative transfusion compared to a White child (aOR: 1.24; 95%CI, 1.03-1.51; P = 0.025). Hispanic children were also significantly more likely to die following a postoperative transfusion than White children (aOR: 1.19; 95%CI, 1.02-1.39; P = 0.027). CONCLUSION: We found that minority children who required a postoperative transfusion had a higher odds of death than White children. Future studies should explore adverse events following postoperative transfusion and the differences in their management by race that may contribute to the higher mortality rate for minority children. LEVEL OF EVIDENCE: Level II. CLINICAL TRIAL NUMBER AND REGISTRY: Not applicable.

Effect of type of definitive treatment on race-based differences in prostate cancer-specific survival.

BACKGROUND: Racial and ethnic disparities in prostate cancer (PCa) mortality are partially mediated by inequities in quality of care. Intermediate- and high-risk PCa can be treated with either surgery or radiation, therefore we designed a study to assess the magnitude of race-based differences in cancer-specific survival between these two treatment modalities. METHODS: Non-Hispanic Black (NHB) and non-Hispanic White (NHW) men with localized intermediate- and high-risk PCa, treated with surgery or radiation between 2004 and 2015 in the Surveillance, Epidemiology and End Results database were included in the study and followed until December 2018. Unadjusted and adjusted survival analyses were employed to compare cancer-specific survival by race and treatment modality. A model with an interaction term between race and treatment was used to assess whether the type of treatment amplified or attenuated the effect of race/ethnicity on prostate cancer-specific mortality (PCSM). RESULTS: 15,178 (20.1%) NHB and 60,225 (79.9%) NHW men were included in the study. NHB men had a higher cumulative incidence of PCSM (p = 0.005) and were significantly more likely to be treated with radiation than NHW men (aOR: 1.89, 95% CI: 1.81-1.97, p < 0.001). In the adjusted models, NHB men were significantly more likely to die from PCa compared with NHW men (aHR: 1.18, 95% CI: 1.03-1.35, p = 0.014), and radiation was associated with a significantly higher odds of PCSM (aHR: 2.10, 95% CI: 1.85-2.38, p < 0.001) compared with surgery. Finally, the interaction between race and treatment on PCSM was not significant, meaning that no race-based differences in PCSM were found within each treatment modality. CONCLUSIONS: NHB men with intermediate- and high-risk PCa had a higher rate of PCSM than NWH men in a large national cancer registry, though NHB and NHW men managed with the same treatment achieved similar PCa survival outcomes. The higher tendency for NHB men to receive radiation was similar in magnitude to the difference in cancer survival between racial and ethnic groups.

Who, where, when: Colorectal cancer disparities by race and ethnicity, subsite, and stage.

BACKGROUND: There are well-established disparities in colorectal cancer (CRC) outcomes between White and Black patients; however, assessments of CRC disparities for other racial/ethnic groups are limited. METHODS: The Surveillance, Epidemiology, and End Results database identified patients aged 50-74 years with CRC adenocarcinoma from 2000 to 2019. Trends in age-adjusted incidence rates were computed by stage at diagnosis and subsite across five broad race/ethnic groups (White, Black, Asian/Pacific Islander [API], American Indian/Alaskan Native [AIAN], and Hispanic) and four API subgroups (East Asian, Southeast Asian, South Asian, and Pacific Islander) Multivariable logistic regression evaluated associations between race/ethnicity and diagnosis stage. Multivariable Cox proportional hazards models assessed differences in cause-specific survival (CSS). RESULTS: Hispanic, AIAN, Southeast Asian, Pacific Islander, and Black patients were 3% to 28% more likely than Whites to be diagnosed with distant stage CRC, whereas East Asian and South Asians had similar or lower risk of distant stage CRC. From Cox regression analysis, Black, AIAN, and Pacific Islanders also experienced worse CSS, while East Asian and South Asian patient groups experienced better CSS. No significant differences in CSS were observed among Hispanic, Southeast Asian, and White patients. When stratified by stage, Black patients had worse CSS across all stages (early, hazard ratio (HR) = 1.38; regional, HR = 1.22; distant, HR: 1.07, p < 0.05 for all). CONCLUSION: Despite advances in CRC screening, treatment and early detection efforts, marked racial/ethnic disparities in incidence, stage at diagnosis, and survival persist. Findings demonstrate the extent to which aggregating heterogenous populations masks significant variability in CRC outcomes within race/ethnic subgroups.

Comparison of genetic and health risk factors for mild cognitive impairment and Alzheimer's disease between Hispanic and non-Hispanic white participants.

INTRODUCTION: The influence of apolipoprotein E (APOE) genotype on mild cognitive impairment (MCI) and Alzheimer's disease (AD) is well studied in the non-Hispanic white (NHW) population but not in the Hispanic population. Additionally, health risk factors such as hypertension, stroke, and depression may also differ between the two populations. METHODS: We combined three data sets (National Alzheimer's Coordinating Center [NACC], Alzheimer's Disease Neuroimaging Initiative [ADNI], Health and Aging Brain Study: Health Disparities [HABS-HD]) and compared risk factors for MCI and AD between Hispanic and NHW participants, with a total of 24,268 participants (11.1% Hispanic). RESULTS: APOEε4 was associated with fewer all-cause MCI cases in Hispanic participants (Hispanic odds ratio [OR]: 1.114; NHW OR: 1.453), and APOEε2 (Hispanic OR: 1.224; NHW OR: 0.592) and depression (Hispanic OR: 2.817; NHW OR: 1.847) were associated with more AD cases in Hispanic participants. DISCUSSION: APOEε2 may not be protective for AD in Hispanic participants and Hispanic participants with depression may face a higher risk for AD. HIGHLIGHTS: GAAIN allows for discovery of data sets to use in secondary analyses. APOEε2 was not protective for AD in Hispanic participants. APOEε4 was associated with fewer MCI cases in Hispanic participants. Depression was associated with more AD cases in Hispanic participants.

Differences in Social Determinants of Health Underlie Racial/Ethnic Disparities in Psychological Health and Well-Being: Study of 11,143 Older Adults.

OBJECTIVE: The authors sought to determine the impact of selected social determinants of health (SDoH) on psychological health and well-being (defined as depression, cognition, and self-rated health) among Black and Hispanic/Latinx adults relative to White adults 51-89 years of age. METHODS: Disparities in depressive symptomatology, cognition, and self-rated health were measured among 2,306 non-Hispanic/Latinx Black, 1,593 Hispanic/Latinx, and 7,244 non-Hispanic/Latinx White adults who participated in the Health and Retirement Study (N=11,143). Blinder-Oaxaca decomposition was used to examine whether differences in selected SDoH explained a larger share of the disparities than age, sex, measures of health, health behaviors, and health care utilization. Selected SDoH included education, parental education, number of years worked, marital status, veteran status, geographic residence, nativity status, income, and insurance coverage. RESULTS: Black and Hispanic/Latinx adults reported worse depressive symptomatology, cognition, and self-rated health than White adults. Selected SDoH were associated with a larger proportion of the Black-White disparities in depressive symptomatology (51%), cognition (39%), and self-rated health (37%) than were age, sex, measures of health, health behaviors, and health care utilization. SDoH were associated with a larger proportion of the Hispanic/Latinx-White disparity in cognition (76%) and self-rated health (75%), but age and physical health correlated with the disparity in depressive symptomatology (28%). Education, parental education, years worked, income, and insurance parity were SDoH associated with these disparities. CONCLUSIONS: Differences in SDoH underlie racial/ethnic disparities in depression, cognition, and self-rated health among older adults. Education, income, number of years worked, and insurance parity are key SDoH.

Racial and sociodemographic predictors of COVID-19 compared with influenza, appendicitis, and all-cause hospitalization: retrospective cohort analysis.

OBJECTIVE: To determine whether inequities in COVID-19 infection and hospitalization differ from those for common medical conditions: influenza, appendicitis, and all-cause hospitalization. DESIGN: Retrospective study based on electronic health records of three healthcare systems in San Francisco (university, public, and community) examining (1) racial/ethnic distribution in cases and hospitalization among patients with diagnosed COVID-19 (March-August 2020) and patients with diagnosed influenza, diagnosed appendicitis, or all-cause hospitalization (August 2017-March 2020), and (2) sociodemographic predictors of hospitalization among those with diagnosed COVID-19 and influenza. RESULTS: Patients 18 years or older with diagnosed COVID-19 (N = 3934), diagnosed influenza (N = 5932), diagnosed appendicitis (N = 1235), or all-cause hospitalization (N = 62,707) were included in the study. The age-adjusted racial/ethnic distribution of patients with diagnosed COVID-19 differed from that of patients with diagnosed influenza or appendicitis for all healthcare systems, as did hospitalization from these conditions compared to any cause. For example, in the public healthcare system, 68% of patients with diagnosed COVID-19 were Latine, compared with 43% of patients with diagnosed influenza, and 48% of patients with diagnosed appendicitis (p < 0.05). In multivariable logistic regressions, COVID-19 hospitalizations were associated with male sex, Asian and Pacific Islander race/ethnicity, Spanish language, and public insurance in the university healthcare system, and Latine race/ethnicity and obesity in the community healthcare system. Influenza hospitalizations were associated with Asian and Pacific Islander and other race/ethnicity in the university healthcare system, obesity in the community healthcare system, and Chinese language and public insurance in both the university and community healthcare systems. CONCLUSIONS: Racial/ethnic and sociodemographic inequities in diagnosed COVID-19 and hospitalization differed from those for diagnosed influenza and other medical conditions, with consistently higher odds among Latine and Spanish-speaking patients. This work highlights the need for disease-specific public health efforts in at-risk communities in addition to structural upstream interventions.

Reasons for Not Pursuing Virtual Prenatal Care in 2020 Through 2021 and Policy Implications.

Aim: To investigate patterns of virtual prenatal visits and examine reasons for not pursuing virtual visits for prenatal care. Methods: A pooled cross-sectional study used Pregnancy Risk Assessment Monitoring System from October 2020 through June 2021, a nationally representative surveillance system targeted at women who recently gave live birth. Individuals (n = 11,829) who reported their prenatal care experiences were included. A modified poison regression estimated prevalence ratios for virtual prenatal visits and reasons for not using virtual services. Results: One-third of participants used virtual prenatal care. Hispanics were more likely to use virtual prenatal care than whites. Compared with college graduates, those with high school graduation (Prevalence Ratios [PR] 0.87, 95% confidence interval [CI] 0.76-0.99; p = 0.033) or some college education (PR 0.86, 95% CI 0.77-0.96; p = 0.009) were less likely to use virtual visits. A preference for in-person was the most common reason for not pursuing virtual visits (77.1%), followed by no available virtual appointments (29.5%), technology barriers (6.1%), and no private space (1.7%). Individuals with less than or with high school graduation had 4.16 times (95% CI 2.32-7.46; p ≤ 0.001) and 2.72 times (95% CI 1.67-4.43; p ≤ 0.001) greater technology barriers, and 10.03 times (95% CI 3.42-29.46; p ≤ 0.001) and 4.29 times (95% CI 1.56-11.80; p = 0.005) greater likelihood of lacking private space, respectively, while they had a lesser in-person preference. Conclusions: In a disrupted health care landscape, barriers to accessing virtual prenatal care may have further exacerbated access to care and effective management of pregnancy among those underserved. The findings provide practical implications for safe and effective prenatal care.

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.

Importance: Stroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals. Quality risk prediction algorithms, free of bias, are key for comprehensive prevention strategies. Objective: To compare the performance of stroke-specific algorithms with pooled cohort equations developed for atherosclerotic cardiovascular disease for the prediction of new-onset stroke across different subgroups (race, sex, and age) and to determine the added value of novel machine learning techniques. Design, Setting, and Participants: Retrospective cohort study on combined and harmonized data from Black and White participants of the Framingham Offspring, Atherosclerosis Risk in Communities (ARIC), Multi-Ethnic Study for Atherosclerosis (MESA), and Reasons for Geographical and Racial Differences in Stroke (REGARDS) studies (1983-2019) conducted in the US. The 62 482 participants included at baseline were at least 45 years of age and free of stroke or transient ischemic attack. Exposures: Published stroke-specific algorithms from Framingham and REGARDS (based on self-reported risk factors) as well as pooled cohort equations for atherosclerotic cardiovascular disease plus 2 newly developed machine learning algorithms. Main Outcomes and Measures: Models were designed to estimate the 10-year risk of new-onset stroke (ischemic or hemorrhagic). Discrimination concordance index (C index) and calibration ratios of expected vs observed event rates were assessed at 10 years. Analyses were conducted by race, sex, and age groups. Results: The combined study sample included 62 482 participants (median age, 61 years, 54% women, and 29% Black individuals). Discrimination C indexes were not significantly different for the 2 stroke-specific models (Framingham stroke, 0.72; 95% CI, 0.72-073; REGARDS self-report, 0.73; 95% CI, 0.72-0.74) vs the pooled cohort equations (0.72; 95% CI, 0.71-0.73): differences 0.01 or less (P values >.05) in the combined sample. Significant differences in discrimination were observed by race: the C indexes were 0.76 for all 3 models in White vs 0.69 in Black women (all P values <.001) and between 0.71 and 0.72 in White men and between 0.64 and 0.66 in Black men (all P values ≤.001). When stratified by age, model discrimination was better for younger (<60 years) vs older (≥60 years) adults for both Black and White individuals. The ratios of observed to expected 10-year stroke rates were closest to 1 for the REGARDS self-report model (1.05; 95% CI, 1.00-1.09) and indicated risk overestimation for Framingham stroke (0.86; 95% CI, 0.82-0.89) and pooled cohort equations (0.74; 95% CI, 0.71-0.77). Performance did not significantly improve when novel machine learning algorithms were applied. Conclusions and Relevance: In this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and improve model performance.

Cystatin C-Based Equation to Estimate GFR without the Inclusion of Race and Sex.

BACKGROUND: The accuracy of estimation of kidney function with the use of routine metabolic tests, such as measurement of the serum creatinine level, has been controversial. The European Kidney Function Consortium (EKFC) developed a creatinine-based equation (EKFC eGFRcr) to estimate the glomerular filtration rate (GFR) with a rescaled serum creatinine level (i.e., the serum creatinine level is divided by the median serum creatinine level among healthy persons to control for variation related to differences in age, sex, or race). Whether a cystatin C-based EKFC equation would increase the accuracy of estimated GFR is unknown. METHODS: We used data from patients in Sweden to estimate the rescaling factor for the cystatin C level in adults. We then replaced rescaled serum creatinine in the EKFC eGFRcr equation with rescaled cystatin C, and we validated the resulting EKFC eGFRcys equation in cohorts of White patients and Black patients in Europe, the United States, and Africa, according to measured GFR, levels of serum creatinine and cystatin C, age, and sex. RESULTS: On the basis of data from 227,643 patients in Sweden, the rescaling factor for cystatin C was estimated at 0.83 for men and women younger than 50 years of age and 0.83 + 0.005 × (age - 50) for those 50 years of age or older. The EKFC eGFRcys equation was unbiased, had accuracy that was similar to that of the EKFC eGFRcr equation in both White patients and Black patients (11,231 patients from Europe, 1093 from the United States, and 508 from Africa), and was more accurate than the Chronic Kidney Disease Epidemiology Collaboration eGFRcys equation recommended by Kidney Disease: Improving Global Outcomes. The arithmetic mean of EKFC eGFRcr and EKFC eGFRcys further improved the accuracy of estimated GFR over estimates from either biomarker equation alone. CONCLUSIONS: The EKFC eGFRcys equation had the same mathematical form as the EKFC eGFRcr equation, but it had a scaling factor for cystatin C that did not differ according to race or sex. In cohorts from Europe, the United States, and Africa, this equation improved the accuracy of GFR assessment over that of commonly used equations. (Funded by the Swedish Research Council.).

Racial Disparities in the Operative Management of Orthopedic Trauma: A Systematic Review and Meta-Analysis.

OBJECTIVE: The objective of this study was to investigate if race is associated with the likelihood of operative management of acute fractures. METHODS: A systematic review of the literature was performed using the PubMed, EMBASE, and Cochrane databases to identify studies associated with social disparities and acute orthopedic trauma. Peer-reviewed studies commenting on social disparities and the decision to pursue operative or non-operative management of acute fractures were identified for detailed review. Study characteristics and odds ratios were extracted from each article. The Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines were followed. A quality analysis of the data was also performed. RESULTS: In total, 13 studies were identified and 8 were included in the meta-analysis totaling 743,846 fractures. Hip, distal radius, pelvic, tibial plateau, clavicle, femoral neck, and femoral shaft fractures were represented in this patient population. The meta-analysis demonstrated that White race is associated with a higher likelihood of operative intervention compared to all other races pooled together (odds ratio, 1.31; 95% confidence interval 1.16 to 1.47; p < .0001) as well as Black race (odds ratio 1.39; 95% confidence interval 1.12 to 1.72; p = .0025). CONCLUSIONS: Non-White race and Black race are associated with a lower likelihood of receiving surgical management of acute orthopedic trauma. Surgeons and health systems should be aware of these inequities and consider strategies to mitigate bias and ensure all patients receive appropriate and timely care regardless of race.

Survival and epidemiology of amyotrophic lateral sclerosis (ALS) cases in the Chicago and Detroit metropolitan cohort: incident cases 2009-2011 and survival through 2018.

Amyotrophic lateral sclerosis (ALS) is a fatal, progressive neurodegenerative disorder. The National ALS Registry launched surveillance projects to understand the distribution of ALS in targeted geographic cohorts. OBJECTIVE: To describe the demographics, incidence, and survival of persons with ALS (PALS) identified in the Chicago and Detroit area population-based cohort. METHODS: Neurologists in the catchment area provided case reports for eligible ALS cases diagnosed and/or cared for from 1 January 2009 through 31 December 2011. Crude incidence rates were calculated for 2009-2011 and stratified by race and ethnicity. Using data from the National Death Index through 2018, we modeled the effect of patient covariates on mortality using the Cox proportional hazard regression. RESULTS: Of the 574 cases, 372 (64.8%) were diagnosed from 2009 to 2011. The combined crude incidence rates for 2009, 2010, and 2011 were 1.44, 1.53, and 1.73 cases per 100,000 person-years, respectively. Of the 486 subjects with complete survival data, 81% were deceased at the end of follow-up. Median survival time was 2.2 years, with 30% and 9% of subjects surviving past 5 and 10 years after diagnosis, respectively. Additionally, female PALS and PALS with longer time between symptom onset and diagnosis experienced longer survival. Nonwhites also experienced longer survival than Whites, except for those cases diagnosed in the younger age categories. CONCLUSION: Understanding the survival of ALS patients can aid in understanding variable prognostic factors, which can potentially extend survival and improve disease management.

Psychosocial Impact of the COVID-19 Pandemic in Racially/Ethnically Diverse Youth With Diabetes.

OBJECTIVE: This study examined caregiver perceived impact of the Coronavirus Disease 2019 (COVID-19) pandemic on a diverse sample of U.S. youth with diabetes and their families. METHODS: Caregivers of youth with diabetes completed an electronic survey in English or Spanish at two sites. Participants provided demographic and disease characteristics and completed the COVID-19 Exposure and Family Impact Scales (CEFIS). Glycemic health was assessed via Hemoglobin A1c (HbA1c) from medical chart review. Analysis of variance and analyses of covariance were utilized to examine racial/ethnic differences in glycemic health and in COVID-19 Exposure, Impact, and Distress scales. Hierarchical linear regression was conducted to predict HbA1c. Thematic analysis was conducted on open-ended responses regarding the effects of COVID-19 on youth and families' overall and diabetes-related well-being. RESULTS: Caregivers (n = 114) of youth with diabetes (M = 12.6 ± 3.5 years) completed study measures. Mean HbA1c for Non-Hispanic White youth was lowest and significantly different from Hispanic and Non-Hispanic Black youth. Exposure to COVID-19 stressors differed by race/ethnicity (p < .05) with Hispanic caregivers reporting greatest exposure. CEFIS scales did not predict HbA1c after controlling for demographic/disease variables. Caregivers described child/family changes during COVID (e.g., more time together, health-related hypervigilance), as well as differences in diabetes management during COVID-19. CONCLUSIONS: Findings indicate differences in COVID-19 exposure but did not demonstrate other racial/ethnic disparities in COVID-19 impact or distress. Household income was the most important predictor of glycemic health. Addressing structural inequalities experienced by youth with diabetes and their families is critical. Recommendations to support families with diabetes are made.

Access to eye care and support services among adults from minority ethnic communities living with visual impairment in the United Kingdom.

Background: Despite an increased risk of certain eye conditions which can lead to visual impairment (V.I.), there is evidence of a greater delay to treatment-seeking among adults from minority ethnic communities (MEC). MEC adults may also be underrepresented on V.I. registers, within early intervention services, and among the beneficiaries of national V.I. charities. However, much of this evidence is outdated or anecdotal. Methods: This secondary analysis of V.I. Lives survey data explored use of eye health and support services and mobility aids among a matched control sample of 77 MEC and 77 adults aged 18 and over from white communities (WC). Participants were matched on age, gender, UK region and urban/rural setting. Additional subgroup analysis was conducted for Asian (n = 46) and black participants (n = 22). Results: There were no significant group differences in areas such as eye health service use, registration status, contact with charities, and level of practical support received. But MEC participants were significantly more likely than WC participants to have received direct payments from social services to cover their care needs, Χ2 (1, 154) = 8.27, p = 0.004, and to use apps on their mobile for mobility, Χ2 (1, 154) = 5.75, p = 0.017. In contrast, WC participants were significantly more likely to agree that they were getting the level of emotional support to get on with their life, U = 3,638, p = 0.010, to feel confident to ask their friends for support, U = 2,416, p = 0.040, and to have a guide dog for mobility, Χ2 (1, 154) = 3.62, p = 0.057, although the latter did not reach statistical significance. Within the MEC group, Asian participants were significantly more likely than black participants to use a long cane, Χ2 (1, 68) = 7.24, p = 0.007, but they were significantly less likely to agree that they had received the right level of support when they started to experience V.I., U = 236.5, p = 0.040. Conclusion: The preliminary findings suggests that there is scope to increase support provided by V.I. charities and the V.I. register, although, contrary to existing evidence, there were no statistically significant differences in eye health service use, registration status and use of wider support services. Further research is required to confirm these findings and explore reasons for differences.