Joint Associations of Race, Ethnicity, and Socioeconomic Status With Mortality in the Multiethnic Cohort Study

African Genetic Ancestry, Structural and Social Determinants of Health, and Mortality in Black Adults

Importance

Although structural and social determinants of health (SSDH) have been consistently associated with health disparities, percentage African genetic ancestry (AGA) has been suggested as a risk factor associated with common diseases in Black populations. Appropriate use and interpretation of percentage AGA in understanding health disparities has been complicated by the fact that percentage AGA is correlated with genetic and nongenetic factors.

Objective

To evaluate associations of SSDH with mortality in the context of percentage AGA and how percentage AGA is correlated with SSDH.

Design, Setting, and Participants

This cohort study investigated data from the Multiethnic Cohort (MEC) Study, in which participants were enrolled from 1993 through 1996 and followed up until death or censoring on December 31, 2019. Participant data were analyzed between March and June 2023. The population-based sample was predominantly from Los Angeles County, California, consisting of self-identified Black adults aged 45 to 75 years who enrolled into the MEC Study; completed a baseline demographic, clinical, and lifestyle questionnaire; and provided biospecimens.

Exposures

The Index of Concentration at the Extremes (ICE), capturing social polarization based on income and racial composition, and a neighborhood socioeconomic status (NSES) index were computed from the 1990 Census, scaled to county-specific quintiles, and linked to residential census tracts at study enrollment. Percentage AGA was estimated using 21 431 single-nucleotide variations based on similarity with African continental referent data.

Main Outcomes and Measures

Multivariable hazard ratios (HRs) for all-cause mortality were estimated from Cox models. Correlation of percentage AGA with SSDH measures was described.

Results

After exclusions, 9685 participants were included (mean [SD] age, 61.0 [8.9] years; 5593 female [57.7%]), with a mean (SD) percentage AGA of 75.0% (14.0%). There were 5504 deaths over 204 463 person-years of follow-up. Comparing the most with least advantaged quintile, income ICE (adjusted HR [aHR], 1.30; 95% CI, 1.16-1.45) and NSES (aHR, 1.37, 95% CI, 1.20-1.56) were associated with lower all-cause mortality. Minimal changes were observed after adjusting for percentage AGA; for example, comparing the most with least advantaged quintile, NSES (aHR, 1.36; 95% CI, 1.19-1.55) remained associated with lower all-cause mortality. There was no association between percentage AGA and mortality after adjustment (aHR per 10-percentage point change in percentage AGA, 1.01; 95% CI, 0.99-1.03).

Conclusions and Relevance

In this study, associations of SSDH with mortality persisted with adjustment for percentage AGA. Findings support the hypothesis that SSDH should be the primary factors to consider for eliminating health disparities.

Associations between School-Based Vision Program Outcomes and School Characteristics in 410 Schools

PURPOSE

School-based vision programs (SBVPs) deliver care to students at school, addressing disparities in access to pediatric vision care. We aimed to evaluate the associations between SBVP outcomes and school-level characteristics.

DESIGN

Retrospective cross-sectional data analysis.

PARTICIPANTS

Public schools with at least 50 SBVP-enrolled students 5 to 22 years old with complete demographic data. Schools with less than 60% of total grade levels served by the SBVP were excluded, creating a sample of 410 schools.

METHODS

Vision screening and eye examination data were extracted from 2016-2022 Helen Keller International's United States Vision Program dataset. Individual student data were aggregated to characterize each school's SBVP outcomes and were analyzed with schools' publicly available socioeconomic and demographic data (student body race and ethnicity composition, proportion of students qualifying for free and reduced-price meals [FARM], and proportion of English language learners). Fractional regression models were used to understand associations between SBVP outcomes and school characteristics.

MAIN OUTCOME MEASURES

SBVP outcomes were rates of vision screening failure, prescriptions for eyeglasses, and community eye care referral among each school's SBVP-enrolled students.

RESULTS

We evaluated 151 elementary schools (36.8%), 155 middle schools (37.8%), and 104 high schools (25.4%), with a median proportion of students qualifying for FARM of 87.4% and a plurality of Hispanic students in 61.0% of schools. Median rates of vision screening failure, eyeglasses prescription, and referral were 38.4%, 25.2%, and 5.4%, respectively. High schools were associated with increased screening failure and eyeglasses prescription rates and a decrease in referral rate compared with elementary schools. In multivariable analysis, each 10% increase in proportion of students qualifying for FARM was associated with a 2.6% (95% confidence interval [CI]: 1.54%-3.65%), 1.8% (95% CI, 0.87%-2.74%), and 0.86% (95% CI, 0.36%-1.36%) increase in screening failure, prescriptions for eyeglasses, and referral rates, respectively.

CONCLUSIONS

Significant vision care demand exists among public schools, especially those with students from lower socioeconomic backgrounds. School-based vision programs are important in improving pediatric vision care access. Our findings demonstrated opportunities to allocate personnel and equipment resources according to schools' anticipated needs, thus maximizing SBVPs' impact.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Factors affecting the place of death in patients with liver cancer in China, 2013-2020: A population-based study

Background

Despite the country's substantial liver cancer burden, there is limited research on the factors influencing the place of death (POD) of patients with liver cancer in China. This study aimed to delineate POD distribution among patients with liver cancer, identify the factors associated with hospital deaths, and offer valuable insights for the government to develop healthcare policies.

Methods

Data from 2013 to 2020 were obtained from the National Mortality Surveillance System (NMSS) of China. This analysis focused on the distribution of POD among individuals who succumbed to liver cancer. Variations in characteristic distributions across different categories were evaluated using a chi-squared test. We also applied a multilevel logistic regression analysis to identify the factors associated with hospital liver cancer deaths. The proportional change in variance was computed to evaluate the contributions of different factors in the model.

Results

From 2013 to 2020, the NMSS reported a total of 608,789 liver cancer-related deaths, of which 440,079 (72.29%) died at home, and 158,291 (26.00%) died in the hospital. Home remained the preferred POD among patients with liver cancer. The results demonstrated that female patients, aged between 0 and 14 years, of Han ethnicity, living in urban areas, unmarried, highly educated, and either employed in a professional, staff, or civil servant capacity, or retired patients tended to end their lives in the hospital.

Conclusions

In China, home continues to be the predominant POD for patients with liver cancer, with demographic and socioeconomic factors significantly influencing whether a hospital is their POD. Enhancing healthcare policymakers' understanding of the factors influencing the place of death for patients with liver cancer may assist in creating a more equitable distribution of healthcare resources and providing a variety of choices for minorities with distinct preferences for end-of-life care.

A systematic review to examine the impact of socioeconomic status on revascularization for peripheral arterial disease, carotid artery surgery, and aortic aneurysm repair outcomes in the United States

OBJECTIVE

This systematic review aims to study the available literature on the impact of SES on the surgical outcomes of peripheral artery disease (PAD), carotid artery disease, and aortic aneurysms in the United States. The review also aims to report the diverse tools used to compute SES within the vascular surgery literature.

METHODS

A systematic review of English literature was conducted using the PubMed and Scopus literature databases from inception to November 2023. The review was designed on the PRISMA guidelines. It included studies reporting socioeconomic factors, income, social determinants of health, social class, and health status disparities in patients undergoing vascular surgical procedures. The risk of bias was evaluated utilizing the Risk of Bias in Non-randomized Studies - of Interventions tool. There were 1133 studies initially selected; only 19 passed the complete inclusion criteria for final assessment and reporting.

RESULTS

A total of 19 studies were examined that assessed the relationship between socioeconomic status and vascular surgery outcomes. All analyses were published between 2018 and 2023 and included a broad spectrum of patients undergoing multiple vascular procedures. A total of 10 publications addressed the role of these factors in patients with PAD, three analyzed the impact of these factors in patients with carotid artery disease, and six explored the role of these factors in patients with aortic repairs. No high risk of bias was reported for any selected study, and most studies (15/19) were based on national or large registries. The results of these studies showed widespread reporting measures of SES. The findings reported describe that lower SES is associated with a higher risk of amputation and stroke after revascularization for PAD and carotid artery surgery. Among the patients undergoing aortic repair, lower SES was more likely to present with ruptured aneurysms or symptomatic at the time of surgery.

CONCLUSIONS

Multiple metrics are used to assess SES in the vascular surgery literature. All studies associated lower SES with poorer outcomes or higher acuity of symptoms at the time of revascularization for PAD, carotid artery disease, and aortic repair. This finding highlights the need to consider SES in improving surgical outcomes and decreasing health care disparities.

Geography and age drive racial and ethnic disparities in hospital mortality for paediatric community-acquired pneumonia in the United States: a retrospective population based cohort study of hospitalized patients

Background

Racial disparities in the outcomes of adult community-acquired pneumonia are well described. However, the presence of racial and ethnic disparities in paediatric community-acquired pneumonia and the mechanisms underlying these disparities remain unclear. Motivated by disparities related to age and geography in paediatric sepsis, we evaluated the association between the joint exposure of race/ethnicity, age, and geographic region and mortality for community-acquired pneumonia to provide opportunities for assessment of future interventions that provide equitable healthcare. We hypothesized that geographic region and age would inform the association between race or ethnicity and mortality in community-acquired pneumonia.

Methods

This was a retrospective cohort study of children age < 18 years with community-acquired pneumonia hospitalized between 2016 and 2021 in the Public Health Information System (PHIS) database. Models included a priori stratification of age ≤ 1 year and geographic region. Racial and ethnic groups (White, Black, Hispanic/Latino, and Other), four geographic regions (Northeast, South, Midwest, or West), and two age categories (<1 and ≥1 year) were combined to create a joint exposure variable. Multivariable logistic regression, clustered by hospital and adjusting for sex, primary insurance payer, median household income quartile, urban identification, and the presence of a complex chronic condition(s), quantified the relationship between the joint exposure and all-cause mortality for paediatric community-acquired pneumonia.

Findings

Among 783,744 patients (median age 4 years [interquartile range 1-9 years], 45.9% female) with CAP, the overall mortality rate was 0.9%. Region and age strongly impacted mortality in all racial and ethnic groups, with higher mortality for Black, Hispanic/Latino, and Other patients <1 year. Among patients <1 year, Black patients in the South (OR 2.35, 95% CI 1.52-3.63, p < 0.001) and West (OR 2.47, 95% CI 1.35-4.49, p = 0.003) and Hispanic/Latino patients in the Northeast (OR 2.36, 95% CI 1.46-3.66, p = 0.031) had the highest mortality, relative to White patients <1 year in the Northeast.

Interpretation

We found evidence of racial and ethnic disparities in mortality for children diagnosed with community-acquired pneumonia. Joint associations of race, ethnicity, age, and geographic region may partially inform potential mechanisms underlying these disparities.

Funding

Dr. Gathers' effort on this study was supported by a National Institutes of Health (NIH) Training Grant T32HL098054. Dr. Yehya is supported by NIH grant number R01-HL148054. Dr. Keim was supported by NIH Training Grant 2T32GM112596 and L40HL170463.

Cardio and cerebrovascular diseases risk among Alzheimer's disease patients and racial/ethnic disparities, based on Hawaii Medicare data

Background

Alzheimer's disease (AD) and cardiovascular and cerebrovascular diseases (CVD) are significant concerns among the elderly, sharing overlapping risk factors. Hawaii's unique demographic profile, characterized by its strong ethnic diversity, shows marked racial health disparities. For instance, the Native Hawaiian/Pacific Islander (NHPI) population is identified as a high-risk group for multiple health conditions, including CVD.

Objective

This study investigates the impact of AD on the risk of developing CVD, with a focus on racial influences, utilizing Hawaii Medicare data.

Methods

Employing nine years of longitudinal Hawaii Medicare data, this study identified elderly patients diagnosed with AD who subsequently developed heart failure (HF), ischemic heart disease (IHD), atrial fibrillation (AF), acute myocardial infarction (AMI), or stroke. To assess the risk of CVD, we utilized multistate models and employed propensity score-matched controls. Additionally, we evaluated racial and ethnic differences in the risk of these diseases, while accounting for other relevant risk factors.

Results

Our findings revealed an elevated risk of AMI, HF, and IHD among individuals diagnosed with AD. Additionally, socioeconomic status (SE) was identified as a crucial factor in the risk of cardio and cerebrovascular diseases. Within the low SE group, NHPIs exhibited increased risks of HF and IHD compared to their white counterparts. Interestingly, NHPIs demonstrated reduced risks of HF in the higher SE group.

Conclusions

The presence of AD increases the likelihood of developing AMI, HF, and IHD. Moreover, the risk of CVD appears to be influenced by race/ethnicity in Hawaii, as well as socioeconomic status.

Joint Association of Education and Neighborhood Socioeconomic Status with Smoking Behavior: The Multiethnic Cohort Study

Background Cigarette smoking is the leading cause of preventable mortality. Both neighborhood- and individual-level socioeconomic status (SES) are inversely associated with smoking. However, their joint effect on smoking behavior has not been evaluated. Methods This cross-sectional study examined the association of education and neighborhood SES (nSES) with smoking among 166,475 Multiethnic Cohort (MEC) participants (African American, Japanese American, Latino, Native Hawaiian, White individuals) recruited between 1993-1996 from Hawaii and LA County. nSES was based on a composite score of 1990 US Census data and assigned to geocoded addresses; nSES quintiles were based on region-specific distributions. The joint education/nSES variable had four categories: high nSES (Quintiles 4-5)/high education (> high school), high nSES/low education (≤ high school), low nSES (Quintiles 1-3)/high education, and low nSES/low education. Poisson regression estimated state-specific prevalence ratios (PR) for current smoking versus non-smoking across joint SES categories, with subgroup analyses by sex and race/ethnicity. Results In California, compared to MEC participants with high nSES/high education, the PR for smoking was highest for low nSES/low education (PR = 1.50), followed by low nSES/high education (PR = 1.33) and high nSES/low education (PR = 1.29). All pairwise comparisons between PR were statistically different ( p  < 0.0001), except high nSES/low education vs. low nSES/high education. In Hawaii, compared to high nSES/high education, the PR for smoking was also highest for low nSES/low education (PR = 1.41), but followed by high nSES/low education (PR = 1.36), then low nSES/high education (PR = 1.20). All pairwise comparisons were statistically different ( p  < 0.0001), except high nSES/low education vs. low nSES/low education. These patterns were consistent across sex and race/ethnicity within each state. Conclusion In California and Hawaii, individuals with low education living in low SES neighborhoods had the highest smoking prevalence. However, regional differences were noted: in California, both low education and low nSES increased smoking prevalence; whereas in Hawaii, low education had a greater impact.

Socioeconomic status as a potential mediator of arterial aging in marginalized ethnic and racial groups: current understandings and future directions

Cardiovascular diseases (CVDs) are the leading cause of death in the United States. However, disparities in CVD-related morbidity and mortality exist as marginalized racial and ethnic groups are generally at higher risk for CVDs (Black Americans, Indigenous People, South and Southeast Asians, Native Hawaiians, and Pacific Islanders) and/or development of traditional CVD risk factors (groups above plus Hispanics/Latinos) relative to non-Hispanic Whites (NHW). In this comprehensive review, we outline emerging evidence suggesting these groups experience accelerated arterial dysfunction, including vascular endothelial dysfunction and large elastic artery stiffening, a nontraditional CVD risk factor that may predict risk of CVDs in these groups with advancing age. Adverse exposures to social determinants of health (SDOH), specifically lower socioeconomic status (SES), are exacerbated in most of these groups (except South Asians-higher SES) and may be a potential mediator of accelerated arterial aging. SES negatively influences the ability of marginalized racial and ethnic groups to meet aerobic exercise guidelines, the first-line strategy to improve arterial function, due to increased barriers, such as time and financial constraints, lack of motivation, facility access, and health education, to performing conventional aerobic exercise. Thus, identifying alternative interventions to conventional aerobic exercise that 1) overcome these common barriers and 2) target the biological mechanisms of aging to improve arterial function may be an effective, alternative method to aerobic exercise to ameliorate accelerated arterial aging and reduce CVD risk. Importantly, dedicated efforts are needed to assess these strategies in randomized-controlled clinical trials in these marginalized racial and ethnic groups.

The Effect of Financial Strain on the Health Outcomes of Older Mexican-Origin Adults: Findings From the Hispanic Established Population for the Epidemiological Study of the Elderly (H-EPESE)

Predictors of health across the life-course do not maintain the same significance in very late life and the role of financial strain in health outcomes of very old adults remain unclear. Data from adults aged 74  +  in waves 5 and 7 of the Hispanic Established Population for the Epidemiological Study of the Elderly (n  =  772) study was used to evaluate the role of financial strain on the health of older Mexican Americans who have the highest poverty rate of any racial or ethnic group in the United States. We evaluate the association between episodic (one wave) and persistent financial strain (two waves), with follow-up health outcomes (self-rated health, ADL (limitations in activities of daily living)/IADL (limitations in instrumental activities of daily living) disability, and depressive symptoms). Adults with persistent strain were twice as likely to experience depressive symptoms and three times more likely to experience IADL limitations than the unstrained. Our findings highlight the role of stress proliferation and allostatic load processes leading to deteriorated health over time.

The Association of Alcohol Outlet Density With Alcohol Intake: The Multiethnic Cohort

OBJECTIVE

Neighborhood characteristics have been shown to influence lifestyle behaviors. Here we characterized alcohol outlet density in Los Angeles County, CA, and Hawaii and assessed the association of alcohol outlet density with self-reported alcohol intake in the Multiethnic Cohort.

METHOD

Participants (n = 178,977) had their addresses geocoded at cohort entry (1993-1996) and appended to block group-level alcohol outlet densities (on- and off-premises). Multinomial logistic regression was performed to assess the association between self-reported alcohol intake and on- and off-premise alcohol outlet densities by each state. Stratified analysis was conducted by sex, race, and ethnicity.

RESULTS

Overall, we did not find associations between alcohol outlet density and self-reported alcohol intake in Los Angeles County, but we found that on-premise alcohol outlets were associated with 59% (odds ratio [OR] = 1.59, 95% CI [1.29, 1.96]) increased odds of consuming more than two drinks per day in Hawaii. Women living in neighborhoods with a high density of on-premise alcohol outlets (Los Angeles County: OR = 1.15, 95% CI [0.95, 1.40]; Hawaii: OR = 2.07, 95% CI [1.43, 3.01]) had an increased odds of more than two drinks per day.

CONCLUSIONS

This study suggests that neighborhood factors are associated with individual-level behaviors and that multilevel interventions may be needed.

Socioeconomic Status, Lifestyle, and DNA Methylation Age Among Racially and Ethnically Diverse Adults: NIMHD Social Epigenomics Program

Importance

Variation in DNA methylation at specific loci estimates biological age, which is associated with morbidity, mortality, and social experiences. Aging estimates known as epigenetic clocks, including the Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE), were trained on data predominately from individuals of European ancestry; however, limited research has explored DunedinPACE in underrepresented populations experiencing health disparities.

Objective

To investigate associations of neighborhood and individual sociobehavioral factors with biological aging in a racially and ethnically diverse population.

Design, Setting, and Participants

This cohort study, part of the Multiethnic Cohort study conducted from May 1993 to September 1996 to examine racial and ethnic disparities in chronic diseases, integrated biospecimen and self-reported data collected between April 2004 and November 2005 from healthy Hawaii residents aged 45 to 76 years. These participants self-identified as of Japanese American, Native Hawaiian, or White racial and ethnic background. Data were analyzed from January 2022 to May 2024.

Main Outcomes and Measures

DNA methylation data were generated from monocytes enriched from cryopreserved lymphocytes and used to derive DunedinPACE scores from November 2017 to June 2021. Neighborhood social economic status (NSES) was estimated from 1990 US Census Bureau data to include factors such as educational level, occupation, and income. Individual-level factors analyzed included educational level, body mass index (BMI), physical activity (PA), and diet quality measured by the Healthy Eating Index (HEI). Linear regression analysis of DunedinPACE scores was used to examine their associations with NSES and sociobehavioral variables.

Results

A total of 376 participants were included (113 [30.1%] Japanese American, 144 [38.3%] Native Hawaiian, and 119 [31.6%] White; 189 [50.3%] were female). Mean (SE) age was 57.81 (0.38) years. Overall, mean (SE) DunedinPACE scores were significantly higher among females than among males (1.28 [0.01] vs 1.25 [0.01]; P = .005); correlated negatively with NSES (R = -0.09; P = .08), HEI (R = -0.11; P = .03), and educational attainment (R = -0.15; P = .003) and positively with BMI (R = 0.31; P < .001); and varied by race and ethnicity. Native Hawaiian participants exhibited a higher mean (SE) DunedinPACE score (1.31 [0.01]) compared with Japanese American (1.25 [0.01]; P < .001) or White (1.22 [0.01]; P < .001) participants. Controlling for age, sex, HEI, BMI, and NSES, linear regression analyses revealed a negative association between educational level and DunedinPACE score among Japanese American (β, -0.005 [95% CI, -0.013 to 0.002]; P = .03) and Native Hawaiian (β, -0.003 [95% CI, -0.011 to 0.005]; P = .08) participants, yet this association was positive among White participants (β, 0.007; 95% CI, -0.001 to 0.015; P = .09). Moderate to vigorous PA was associated with lower DunedinPACE scores only among Native Hawaiian participants (β, -0.006; 95% CI, -0.011 to -0.001; P = .005), independent of NSES.

Conclusions and Relevance

In this study of a racially and ethnically diverse sample of 376 adults, low NSES was associated with a higher rate of biological aging measured by DunedinPACE score, yet individual-level factors such as educational level and physical activity affected this association, which varied by race and ethnicity. These findings support sociobehavioral interventions in addressing health inequities.

Associations of neighborhood sociodemographic environment with mortality and circulating metabolites among low-income black and white adults living in the southeastern United States

BACKGROUND

Residing in a disadvantaged neighborhood has been linked to increased mortality. However, the impact of residential segregation and social vulnerability on cause-specific mortality is understudied. Additionally, the circulating metabolic correlates of neighborhood sociodemographic environment remain unexplored. Therefore, we examined multiple neighborhood sociodemographic metrics, i.e., neighborhood deprivation index (NDI), residential segregation index (RSI), and social vulnerability index (SVI), with all-cause and cardiovascular disease (CVD) and cancer-specific mortality and circulating metabolites in the Southern Community Cohort Study (SCCS).

METHODS

The SCCS is a prospective cohort of primarily low-income adults aged 40-79, enrolled from the southeastern United States during 2002-2009. This analysis included self-reported Black/African American or non-Hispanic White participants and excluded those who died or were lost to follow-up ≤ 1 year. Untargeted metabolite profiling was performed using baseline plasma samples in a subset of SCCS participants.

RESULTS

Among 79,631 participants, 23,356 deaths (7214 from CVD and 5394 from cancer) were documented over a median 15-year follow-up. Higher NDI, RSI, and SVI were associated with increased all-cause, CVD, and cancer mortality, independent of standard clinical and sociodemographic risk factors and consistent between racial groups (standardized HRs among all participants were 1.07 to 1.20 in age/sex/race-adjusted model and 1.04 to 1.08 after comprehensive adjustment; all P < 0.05/3 except for cancer mortality after comprehensive adjustment). The standard risk factors explained < 40% of the variations in NDI/RSI/SVI and mediated < 70% of their associations with mortality. Among 1110 circulating metabolites measured in 1688 participants, 134 and 27 metabolites were associated with NDI and RSI (all FDR < 0.05) and mediated 61.7% and 21.2% of the NDI/RSI-mortality association, respectively. Adding those metabolites to standard risk factors increased the mediation proportion from 38.4 to 87.9% and 25.8 to 42.6% for the NDI/RSI-mortality association, respectively.

CONCLUSIONS

Among low-income Black/African American adults and non-Hispanic White adults living in the southeastern United States, a disadvantaged neighborhood sociodemographic environment was associated with increased all-cause and CVD and cancer-specific mortality beyond standard risk factors. Circulating metabolites may unveil biological pathways underlying the health effect of neighborhood sociodemographic environment. More public health efforts should be devoted to reducing neighborhood environment-related health disparities, especially for low-income individuals.

Social Determinants of Health in Cardio-Oncology: Multi-Level Strategies to Overcome Disparities in Care: JACC: CardioOncology State-of-the-Art Review

Addressing the need for more equitable cardio-oncology care requires attention to existing disparities in cardio-oncologic disease prevention and outcomes. This is particularly important among those affected by adverse social determinants of health (SDOH). The intricate relationship of SDOH, cancer diagnosis, and outcomes from cardiotoxicities associated with oncologic therapies is influenced by sociopolitical, economic, and cultural factors. Furthermore, mechanisms in cell signaling and epigenetic effects on gene expression link adverse SDOH to cancer and the CVD-related complications of oncologic therapies. To mitigate these disparities, a multifaceted strategy is needed that includes attention to health care access, policy, and community engagement for improved disease screening and management. Interdisciplinary teams must also promote cultural humility and competency and leverage new health technology to foster collaboration in addressing the impact of adverse SDOH in cardio-oncologic outcomes.

Lessons Learned from Immigrant Health Cohorts: A Review of the Evidence and Implications for Policy and Practice in Addressing Health Inequities among Asian Americans, Native Hawaiians, and Pacific Islanders

The health of Asian Americans, Native Hawaiians, and Pacific Islanders (AANHPI) is uniquely impacted by structural and social determinants of health (SSDH) shaped by immigration policies and colonization practices, patterns of settlement, and racism. These SSDH also create vast heterogeneity in disease risks across the AANHPI population, with some ethnic groups having high disease burden, often masked with aggregated data. Longitudinal cohort studies are an invaluable tool to identify risk factors of disease, and epidemiologic cohort studies among AANHPI populations have led to seminal discoveries of disease risk factors. This review summarizes the limited but growing literature, with a focus on SSDH factors, from seven longitudinal cohort studies with substantial AANHPI samples. We also discuss key information gaps and recommendations for the next generation of AANHPI cohorts, including oversampling AANHPI ethnic groups; measuring and innovating on measurements of SSDH; emphasizing the involvement of scholars from diverse disciplines; and, most critically, engaging community members to ensure relevancy for public health, policy, and clinical impact.

Race, Social Determinants of Health, and Risk of All-Cause and Cardiovascular Mortality in the United States

OBJECTIVE

To examine the independent and interdependent effects of race and social determinants of health (SDoH) and risk of all-cause and cardiovascular disease (CVD) mortality in the US.

DATA SOURCE/STUDY DESIGN

Secondary analysis of pooled data for 252,218 participants of the 2006-2018 National Health Interview Survey, linked to the National Death Index.

METHODS

Age-adjusted mortality rates (AAMR) were reported for non-Hispanic White (NHW) and non-Hispanic Black (NHB) individuals overall, and by quintiles of SDoH burden, with higher quintiles representing higher cumulative social disadvantage (SDoH-Qx). Survival analysis was used to examine the association between race, SDoH-Qx, and all-cause and CVD mortality.

FINDINGS

AAMRs for all-cause and CVD mortality were higher for NHB and considerably higher at higher levels of SDoH-Qx, however, with similar mortality rates at any given level of SDoH-Qx. In multivariable models, NHB experienced 20-25% higher mortality risk relative to NHW (aHR = 1.20-1.26); however, no association was observed after adjusting for SDoH. In contrast, higher SDoH burden was associated with up to nearly threefold increased risk of all-cause (aHR, Q5 vs Q1 = 2.81) and CVD mortality (aHR, Q5 vs Q1 = 2.90); the SDoH effect was observed similarly for NHB (aHR, Q5:all-cause mortality = 2.38; CVD mortality = 2.58) and NHW (aHR, Q5:all-cause mortality = 2.87; CVD mortality = 2.93) subgroups. SDoH burden mediated 40-60% of the association between NHB race and mortality.

CONCLUSIONS

These findings highlight the critical role of SDoH as upstream drivers of racial inequities in all-cause and CVD mortality. Population level interventions focused on addressing adverse SDoH experienced by NHB individuals may help mitigate persistent disparities in mortality in the US.

Increasing risk of hepatocellular carcinoma with successive generations in the United States among Mexican American adults: The Multiethnic Cohort

BACKGROUND

US-born Latinos have a higher incidence of hepatocellular carcinoma (HCC) than foreign-born Latinos. Acculturation to unhealthy lifestyle behaviors and an immigrant self-selection effect may play a role. In this study, the authors examined the influence of generational status on HCC risk among Mexican American adults.

METHODS

The analytic cohort included 31,377 self-reported Mexican Americans from the Multiethnic Cohort Study (MEC). Generational status was categorized as: first-generation (Mexico-born; n = 13,382), second-generation (US-born with one or two parents born in Mexico; n = 13,081), or third-generation (US-born with both parents born in the United States; n = 4914). Multivariable Cox proportional hazards regression was performed to examine the association between generational status and HCC incidence.

RESULTS

In total, 213 incident HCC cases were identified during an average follow-up of 19.5 years. After adjusting for lifestyle and neighborhood-level risk factors, second-generation and third-generation Mexican Americans had a 37% (hazard ratio [HR], 1.37; 95% confidence interval [CI], 0.98-1.92) and 66% (HR, 1.66; 95% CI, 1.11-2.49) increased risk of HCC, respectively, compared with first-generation Mexican Americans (p for trend = 0.012). The increased risk associated with generational status was mainly observed in males (second-generation vs. first-generation: HR, 1.60 [95% CI, 1.05-2.44]; third-generation vs. first-generation: HR, 2.08 [95% CI, 1.29-3.37]).

CONCLUSIONS

Increasing generational status of Mexican Americans is associated with a higher risk of HCC. Further studies are needed to identify factors that contribute to this increased risk.

Race and ethnicity in the COVID-19 Critical Care Consortium: demographics, treatments, and outcomes, an international observational registry study

BACKGROUND

Improving access to healthcare for ethnic minorities is a public health priority in many countries, yet little is known about how to incorporate information on race, ethnicity, and related social determinants of health into large international studies. Most studies of differences in treatments and outcomes of COVID-19 associated with race and ethnicity are from single cities or countries.

METHODS

We present the breadth of race and ethnicity reported for patients in the COVID-19 Critical Care Consortium, an international observational cohort study from 380 sites across 32 countries. Patients from the United States, Australia, and South Africa were the focus of an analysis of treatments and in-hospital mortality stratified by race and ethnicity. Inclusion criteria were admission to intensive care for acute COVID-19 between January 14th, 2020, and February 15, 2022. Measurements included demographics, comorbidities, disease severity scores, treatments for organ failure, and in-hospital mortality.

RESULTS

Seven thousand three hundred ninety-four adults met the inclusion criteria. There was a wide variety of race and ethnicity designations. In the US, American Indian or Alaska Natives frequently received dialysis and mechanical ventilation and had the highest mortality. In Australia, organ failure scores were highest for Aboriginal/First Nations persons. The South Africa cohort ethnicities were predominantly Black African (50%) and Coloured* (28%). All patients in the South Africa cohort required mechanical ventilation. Mortality was highest for South Africa (68%), lowest for Australia (15%), and 30% in the US.

CONCLUSIONS

Disease severity was higher for Indigenous ethnicity groups in the US and Australia than for other ethnicities. Race and ethnicity groups with longstanding healthcare disparities were found to have high acuity from COVID-19 and high mortality. Because there is no global system of race and ethnicity classification, researchers designing case report forms for international studies should consider including related information, such as socioeconomic status or migration background. *Note: "Coloured" is an official, contemporary government census category of South Africa and is a term of self-identification of race and ethnicity of many citizens of South Africa.

I kua na'u "Let me carry out your last wishes" Clinical trial protocol to promote advance care planning among native Hawaiian populations

Advance Care Planning (ACP) is a communication process about serious illness decision making designed to inform patients of possible medical options. Native Hawaiians consistently have low rates of ACP and low use of palliative and hospice care services. Our multidisciplinary community and research group partnered to create I kua na'u "Let Me Carry Out Your Last Wishes," an ACP intervention featuring culturally tailored videos and are now testing its efficacy. Focus groups and informant interviews were conducted with Native Hawaiian community members to ensure the curriculum honored the history, opinions, and culture of Native Hawaiians. Native Hawaiian culture has traditionally been an oral culture; the spoken word transmitted the mo'olelo, stories, traditions, histories and genealogies, which merges seamlessly with video media. The I kua na'u intervention included multiple educational sessions enhanced with videos (informational and personal). The specific aims are to compare ACP knowledge (primary outcome) and readiness for ACP engagement, ACP preferences, decisional conflict, and ACP completion rates via electronic medical record review (secondary outcomes) in 220 Native Hawaiians over age 55 in: (a) a randomized controlled trial of 110 people recruited from ambulatory clinics, and (b) a pre-post study design among 110 people living on Hawaiian Homestead communities located on lands set aside for Native Hawaiians or assisted living. Our protocol aims to evaluate the efficacy of our video-based educational intervention for Native Hawaiians to support decision making in this community and decrease disparities in serious illness care. Clinical Trial Registration Number: NCT04771208.

How to construct a frailty index from an existing dataset in 10 steps

BACKGROUND

The frailty index is commonly used in research and clinical practice to quantify health. Using a health deficit accumulation model, a frailty index can be calculated retrospectively from data collected via survey, interview, performance test, laboratory report, clinical or administrative medical record, or any combination of these. Here, we offer a detailed 10-step approach to frailty index creation, with a worked example.

METHODS

We identified 10 steps to guide the creation of a valid and reliable frailty index. We then used data from waves 5 to 12 of the Health and Retirement Study (HRS) to illustrate the steps.

RESULTS

The 10 steps are as follows: (1) select every variable that measures a health problem; (2) exclude variables with more than 5% missing values; (3) recode the responses to 0 (no deficit) through 1 (deficit); (4) exclude variables when coded deficits are too rare (< 1%) or too common (> 80%); (5) screen the variables for association with age; (6) screen the variables for correlation with each other; (7) count the variables retained; (8) calculate the frailty index scores; (9) test the characteristics of the frailty index; (10) use the frailty index in analyses. In our worked example, we created a 61-item frailty index following these 10 steps.

CONCLUSIONS

This 10-step procedure can be used as a template to create one continuous health variable. The resulting high-information variable is suitable for use as an exposure, predictor or control variable, or an outcome measure of overall health and ageing.

Racial and ethnic minority participants in clinical trials of acute respiratory distress syndrome

PURPOSE

There is growing interest in improving the inclusiveness of racial and ethnic minority participants in trials of acute respiratory distress syndrome (ARDS). With our study we aimed to examine temporal trends of representation and mortality of racial and ethnic minority participants in randomized controlled trials of ARDS.

METHODS

We performed a secondary analysis of eight ARDS Network and PETAL Network therapeutic clinical trials, published between 2000 and 2019. We classified race/ethnicity into "White", "Black", "Hispanic", or "Other" (including Asian, American Indian or Alaskan Native, Native Hawaiian, or other Pacific Islander participants).

RESULTS

Of 5375 participants with ARDS, 1634 (30.4%) were Black, Hispanic, or Other race participants. Representation of racial and ethnic minority participants in trials did not change significantly over time (p = 0.257). However, among participants with moderate to severe ARDS (i.e., partial pressure of arterial oxygen to fraction of inspired oxygen ratio < 150), the difference in mortality between racial and ethnic minority participants and White participants decreased over time. In the five most recent trials, including 2923 participants with ARDS, there were no statistically significant differences in mortality between racial/ethnic groups, even after adjusting for potential confounders. In these five most recent trials, mortality was 31% for White, 31.9% for Black, 30.3% for Hispanic, and 37.1% for Other race participants (p = 0.633).

CONCLUSION

Representation of racial and ethnic minority participants in ARDS trials from North America, published between 2000 and 2019, did not change over time. Black and Hispanic participants with ARDS may have similar mortality as White participants within trials.

Associations of family income and healthy lifestyle with all-cause mortality

Background

There is a lack of evidence on whether combined lifestyle factors mediate the association between family income and all-cause mortality, as well as the joint relations between family income and lifestyle factors with mortality.

Methods

Using data on family income and lifestyle factors of participants in the US National Health Interview Survey 2016-2018, we performed multivariable logistic regression models to estimate the odds ratios (ORs) and 95% confidence intervals (CI) for the association of all-cause mortality with said data.

Results

We included 73 729 participants with a mean age of 47.1 years (standard deviation (SD) = 18.0), 51% of whom were women and 65% of whom were non-Hispanic Whites. There were 2284 deaths documented. After multivariable adjustment, middle-income participants had an OR of 0.73 (95% CI = 0.61-0.88) for mortality, while high-income participants had an OR of 0.47 (95% CI = 0.37-0.60) compared with low-income participants. We found that lower all-cause mortality was related to higher lifestyle scores. Adults from high-income families with lifestyle scores of 3 and 4 had an OR for mortality of 0.44 (95% CI = 0.30-0.65) compared to those from low-income families and lifestyle scores of 0 or 1. When comparing those in highest vs lowest income groups in the mediation analysis, 9.8% (95% CI = 7.4-13.0) of the relation for all-cause mortality was mediated by lifestyles. Adults from high-income families with lifestyle scores of 3 or 4 had an OR of 0.23 (95% CI = 0.17-0.33) for mortality compared with those from low-income families and lifestyle scores of 0 or 1.

Conclusions

A lower risk of all-cause mortality was linked to higher family income and healthier lifestyles. Furthermore, lifestyle factors mediated a small proportion of the association between family income and mortality among US adults. Economic disparity in health may not be eliminated by changing only one's lifestyle. Therefore, besides promoting a healthy lifestyle, we should stress how family income inequality affects health outcomes.

Ranking age-specific modifiable risk factors for cardiovascular disease and mortality: evidence from a population-based longitudinal study

Background

Cardiovascular disease (CVD) remains a paramount contemporary health challenge. This study examined age-specific effects of 14 risk factors on CVD and mortality in different age groups.

Methods

We analyzed data from 226,759 CVD-free participants aged 40 years and older in the UK Biobank during the period from baseline time (2006-2010) to September 30, 2021. The primary CVD outcome was a composite of incident coronary artery disease, heart failure, and stroke. We calculated age-specific hazard ratios (HRs) and population-attributable fractions (PAF) for CVD and mortality associated with 14 potentially modifiable risk factors.

Findings

During 12.17-year follow-up, 23,838 incident CVD cases and 11,949 deaths occurred. Age-specific disparities were observed in the risk factors contributing to CVD, and the overall PAF declined with age (PAF of 56.53% in middle-age; 49.78% in quinquagenarian; 42.45% in the elderly). Metabolic factors had the highest PAF in each age group, with hypertension (14.04% of the PAF) and abdominal obesity (9.58% of the PAF) being prominent. Behavioral factors had the highest PAF in the middle-aged group (10.68% of the PAF), and smoking was the leading behavioral factor in all age groups. In socioeconomic and psychosocial risk clusters, low income contributed most among middle-aged (3.74% of the PAF) and elderly groups (3.66% of the PAF), while less education accounted more PAF for quinquagenarian group (4.46% of the PAF). Similar age-specific patterns were observed for cardiovascular subtypes and mortality.

Interpretation

A large fraction of CVD cases and deaths were associated with modifiable risk factors in all age groups. Targeted efforts should focus on the most impactful risk factors, as well as age-specific modifiable risk factors. These findings may inform the development of more precise medical strategies to prevent and manage CVD and related mortality.

Funding

The work was supported by the Bill & Melinda Gates Foundation (grant number: INV-016826 to Hualiang Lin) and the National Natural Science Foundation of China (grant number: 82373534 to Hualiang Lin).

Trends and determinants of place of death among Chinese lymphoma patients: a population-based study from 2013-2021

Limited research exists on factors influencing the place of death (POD) or hospital deaths among lymphoma patients in China, despite the country's significant burden of lymphoid neoplasms. This study aimed to describe the distribution of POD among lymphoma patients and identify the factors associated with hospital lymphoma deaths to provide evidence for developing targeted healthcare policies. Data in this study were obtained from the National Mortality Surveillance System (NMSS). The distribution of POD among individuals who died from lymphoma was analyzed, and factors influencing the choice of dying in the hospital were examined. Chi-square test was employed to analyze the differences in characteristic distributions. Multilevel logistic regression analysis was identify the relationship between hospital deaths due to lymphoma and individual factors, as well as socioeconomic contextual variables. During 2013-2021, there were 66772 lymphoma deaths reported by the NMSS, including 44327 patients (66.39%) who died at home and 21211 (31.77%) died in the hospital. Female patients, those had a higher level of educational attainment, retired individuals, those died of non-Hodgkin lymphoma, residents of urban areas, patients between the ages of 0 and 14, and unmarried individuals had a higher probability of dying in hospitals. Improving health care providers' understanding of palliative care for cancer patients and prioritizing accessible services are essential to enhance the quality of end-of-life care. These approaches ensure the equitable allocation of healthcare resources and provide diverse options for minorities with specific preferences regarding end-of-life care.

Short-term effects of COVID-19 pandemic on academic achievement among Colombian adolescents

Objective

The aim of this study was to assess the effect of health-related determinants and COVID-19 pandemic on the academic achievement of Colombian youth.

Methods

Nationwide study based on the results of official exams of more than two million students during the period 2017-2020. Sociodemographic characteristics, dietary, ethnicity, child labour factor, and region-level rurality were considered as independent variables. A two-level structural equation model was used to assess the effect of individual- and state-level variables. Analyses were stratified by academic domains and global score.

Results

Health-related determinants, including belonging to an ethnic minority and child labour were associated with a reduction in global scores (20.07, 95 % CI 19.81-20.33 and 10.62, 95 % CI 10.49-10.76 points, respectively), whereas the youth from higher socioeconomic status achieved a 2.21 points increase. COVID-19 pandemic and rurality did not implied significant changes in the scores, however, rurality was associated with a reduction of 0.01 points in foreign language score (English).

Conclusions

Health determinants not only affect the common outcomes in health but also explain educational inequalities in Colombian youth. Beyond an increased risk of morbidity or mortality, as reported elsewhere, belonging to a minority, coming from a lower socioeconomic stratum and be in need to work, put in risk the personal fulfilment of youth, which entail poor future health performance. A more comprehensive analysis of health determinants and its consequences is needed in young people.

Impact of poverty and neighborhood opportunity on outcomes for children treated with CD19-directed CAR T-cell therapy

Children living in poverty experience excessive relapse and death from newly diagnosed acute lymphoblastic leukemia (ALL). The influence of household poverty and neighborhood social determinants on outcomes from chimeric antigen receptor (CAR) T-cell therapy for relapsed/refractory (r/r) leukemia is poorly described. We identified patients with r/r CD19+ ALL/lymphoblastic lymphoma treated on CD19-directed CAR T-cell clinical trials or with commercial tisagenlecleucel from 2012 to 2020. Socioeconomic status (SES) was proxied at the household level, with poverty exposure defined as Medicaid-only insurance. Low-neighborhood opportunity was defined by the Childhood Opportunity Index. Among 206 patients aged 1 to 29, 35.9% were exposed to household poverty, and 24.9% had low-neighborhood opportunity. Patients unexposed to household poverty or low-opportunity neighborhoods were more likely to receive CAR T-cell therapy with a high disease burden (>25%), a disease characteristic associated with inferior outcomes, as compared with less advantaged patients (38% vs 30%; 37% vs 26%). Complete remission (CR) rate was 93%, with no significant differences by household poverty (P = .334) or neighborhood opportunity (P = .504). In multivariate analysis, patients from low-opportunity neighborhoods experienced an increased hazard of relapse as compared with others (P = .006; adjusted hazard ratio [HR], 2.3; 95% confidence interval [CI], 1.3-4.1). There was no difference in hazard of death (P = .545; adjusted HR, 1.2; 95% CI, 0.6-2.4). Among children who successfully receive CAR T-cell therapy, CR and overall survival are equitable regardless of proxied SES and neighborhood opportunity. Children from more advantaged households and neighborhoods receive CAR T-cell therapy with a higher disease burden. Investigation of multicenter outcomes and access disparities outside of clinical trial settings is warranted.

Associations of socioeconomic status with infectious diseases mediated by lifestyle, environmental pollution and chronic comorbidities: a comprehensive evaluation based on UK Biobank

BACKGROUND

Socioeconomic status (SES) inequity was recognized as a driver of some certain infectious diseases. However, few studies evaluated the association between SES and the burden of overall infections, and even fewer identified preventable mediators. This study aimed to assess the association between SES and overall infectious diseases burden, and the potential roles of factors including lifestyle, environmental pollution, chronic disease history.

METHODS

We included 401,009 participants from the UK Biobank (UKB) and defined the infection status for each participant according to their diagnosis records. Latent class analysis (LCA) was used to define SES for each participant. We further defined healthy lifestyle score, environment pollution score (EPS) and four types of chronic comorbidities. We used multivariate logistic regression to test the associations between the four above covariates and infectious diseases. Then, we performed the mediation and interaction analysis to explain the relationships between SES and other variables on infectious diseases. Finally, we employed seven types of sensitivity analyses, including considering the Townsend deprivation index as an area level SES variable, repeating our main analysis for some individual or composite factors and in some subgroups, as well as in an external data from the US National Health and Nutrition Examination Survey, to verify the main results.

RESULTS

In UKB, 60,771 (15.2%) participants were diagnosed with infectious diseases during follow-up. Lower SES [odds ratio (OR) = 1.5570] were associated with higher risk of overall infections. Lifestyle score mediated 2.9% of effects from SES, which ranged from 2.9 to 4.0% in different infection subtypes, while cardiovascular disease (CVD) mediated a proportion of 6.2% with a range from 2.1 to 6.8%. In addition, SES showed significant negative interaction with lifestyle score (OR = 0.8650) and a history of cancer (OR = 0.9096), while a significant synergy interaction was observed between SES and EPS (OR = 1.0024). In subgroup analysis, we found that males and African (AFR) with lower SES showed much higher infection risk. Results from sensitivity and validation analyses showed relative consistent with the main analysis.

CONCLUSIONS

Low SES is shown to be an important risk factor for infectious disease, part of which may be mediated by poor lifestyle and chronic comorbidities. Efforts to enhance health education and improve the quality of living environment may help reduce burden of infectious disease, especially for people with low SES.

Disparities in Survival and Comorbidity Burden Between Asian and Native Hawaiian and Other Pacific Islander Patients With Cancer

Importance

Improper aggregation of Native Hawaiian and other Pacific Islander individuals with Asian individuals can mask Native Hawaiian and other Pacific Islander patient outcomes. A comprehensive assessment of cancer disparities comparing Asian with Native Hawaiian and other Pacific Islander populations is lacking.

Objective

To compare comorbidity burden and survival among East Asian, Native Hawaiian and other Pacific Islander, South Asian, and Southeast Asian individuals with non-Hispanic White individuals with cancer.

Design, Setting, and Participants

This retrospective cohort study used a national hospital-based oncology database enriched with Native Hawaiian and other Pacific Islander and Asian populations. Asian, Native Hawaiian and other Pacific Islander, and White individuals diagnosed with the most common cancers who received treatment from January 1, 2004, to December 31, 2017, were included. Patients younger than 18 years, without pathologic confirmation of cancer, or with metastatic disease were excluded. Data were analyzed from January to May 2022.

Main Outcomes and Measures

The primary end points were comorbidity burden by Charlson-Deyo Comorbidity Index and overall survival (OS).

Results

In total, 5 955 550 patients were assessed, including 60 047 East Asian, 11 512 Native Hawaiian and other Pacific Islander, 25 966 South Asian, 42 815 Southeast Asian, and 5 815 210 White patients. The median (IQR) age was 65 (56-74) years, median (IQR) follow-up was 58 (30-96) months, and 3 384 960 (57%) were women. Patients were predominantly from metropolitan areas (4 834 457 patients [84%]) and the Southern United States (1 987 506 patients [34%]), with above median education (3 576 460 patients [65%]), and without comorbidities (4 603 386 patients [77%]). Cancers included breast (1 895 351 patients [32%]), prostate (948 583 patients [16%]), kidney or bladder (689 187 patients [12%]), lung (665 622 patients [11%]), colorectal (659 165 patients [11%]), melanoma (459 904 patients [8%]), endometrial (307 401 patients [5%]), lymphoma (245 003 patients [4%]), and oral cavity (85 334 patients [1%]) malignant neoplasms. Native Hawaiian and other Pacific Islander patients had the highest comorbidity burden (adjusted odds ratio [aOR], 1.70; 95% CI, 1.47-1.94) compared with Asian and White groups. Asian patients had superior OS compared with White patients for most cancers; only Southeast Asian patients with lymphoma had inferior survival (adjusted hazard ratio [aHR], 1.26; 95% CI, 1.16-1.37). In contrast, Native Hawaiian and other Pacific Islander patients demonstrated inferior OS compared with Asian and White patients for oral cavity cancer (aHR, 1.56; 95% CI, 1.14-2.13), lymphoma (aHR, 1.35; 95% CI, 1.11-1.63), endometrial cancer (aHR, 1.30; 95% CI, 1.12-1.50), prostate cancer (aHR, 1.29; 95% CI, 1.14-1.46), and breast cancer (aHR, 1.09; 95% CI, 1.00-1.18). No cancers among Native Hawaiian and other Pacific Islander patients had superior OS compared with White patients.

Conclusions and Relevance

In this cohort study, compared with White patients with the most common cancers, Asian patients had superior survival outcomes while Native Hawaiian and other Pacific Islander patients had inferior survival outcomes. Native Hawaiian and other Pacific Islander patients had significantly greater comorbidity burden compared with Asian and White patients, but this alone did not explain the poor survival outcomes. These results support the disaggregation of these groups in cancer studies.