Recalibrating the Use of Race in Medical Research

The reporting of social determinants of health in pediatric dermatology clinical trials: a systematic review

Background

Despite the acknowledgment of the importance of social determinants of health (SDOH) on clinical outcomes, few clinical trials provide information about SDOH. Including these markers in pediatric dermatologic clinical trials may lead to improved care and novel observations about the disease.

Objective

Using a systematic review, assess the use of SDOH in pediatric dermatology clinical trials.

Methods

CINAHL Plus, Cochrane: CENTRAL, Embase, PubMed, and Scopus were searched. English language randomized controlled trials about pediatric dermatology diseases published from January 2011 to May 2022 were included. Two authors independently screened all records using Covidence at 2 levels. Two authors independently collected data using Covidence and Microsoft Excel and assessed study quality. A protocol was registered at Open Science Framework: https://doi.org/10.17605/OSF.IO/B93VY.

Results

A total of 6463 records were retrieved and 4298 were screened at title/abstract. Next, 1738 records were screened at full text and 1085 were included. Of these, 119 reported an SDOH factor for a pediatric dermatology disease. Income or socioeconomic status was the factor most reported followed by social support, location, and health insurance. Most of the studies were conducted outside of the United States.

Limitations

There are a limited number of dermatology clinical trials that include a pediatric population.

Conclusion

Despite including over 1000 pediatric dermatology clinical trials, only 119 used SDOH. Pediatric dermatology researchers must prioritize including and reporting additional SDOH in clinical trials if the goal is to impact and improve clinical care and innovate for diverse populations of patients.

Analysis of ductal carcinoma in situ by self-reported race reveals molecular differences related to outcome

BACKGROUND

Ductal carcinoma in situ (DCIS) is a non-obligate precursor to invasive breast cancer (IBC). Studies have indicated differences in DCIS outcome based on race or ethnicity, but molecular differences have not been investigated.

METHODS

We examined the molecular profile of DCIS by self-reported race (SRR) and outcome groups in Black (n = 99) and White (n = 191) women in a large DCIS case-control cohort study with longitudinal follow up.

RESULTS

Gene expression and pathway analyses suggested that different genes and pathways are involved in diagnosis and ipsilateral breast outcome (DCIS or IBC) after DCIS treatment in White versus Black women. We identified differences in ER and HER2 expression, tumor microenvironment composition, and copy number variations by SRR and outcome groups.

CONCLUSIONS

Our results suggest that different molecular mechanisms drive initiation and subsequent ipsilateral breast events in Black versus White women.

The Effect of Self-Reported Race on Noninvasive Prenatal Screening Test Characteristics

OBJECTIVE

 Low fetal fraction (FF) on cell-free DNA (cfDNA)-based noninvasive prenatal screening (NIPS) is a common etiology for indeterminate results. As maternal Black race is implicated as a risk factor for low FF and more indeterminate results, we sought to evaluate this association.

STUDY DESIGN

 This was a single-institution, retrospective cohort study of cfDNA-based NIPS performed between May 2017 and May 2022 with complete clinical data abstraction. We compared FF, indeterminate rates, and total cfDNA concentration among self-reported Black, White, and Other groups from NIPS results from 2017 to 2022 with full clinical data abstraction. Using linear regression and interaction testing, we evaluated associations between self-reported race, FF, indeterminate rate, and total cfDNA concentration.

RESULTS

 In total, 1,591 participants met the inclusion criteria; 70.8% (n = 1,126) self-identified as White, 6.9% (n = 110) as Black, and 22.3% (n = 355) self-identified with another race. Mean FF was not different between the White, Black, or Other groups (11.8 vs. 11.2 vs. 11.7%, respectively, p = 0.52). This remained true after adjusting for body mass index (BMI), gestational age (GA) at draw, and fetal sex (all p > 0.17). Interaction testing for FF and total cfDNA by race with BMI, GA at draw, and fetal sex demonstrated no effect modification.

CONCLUSION

 In our population, maternal self-identified race, particularly Black race, does not affect FF. Biological plausibility for race-based differences on clinical tests requires ongoing thoughtful consideration.

KEY POINTS

· NIPS is widely used to screen for fetal aneuploidy.. · FF is an important test metric, and low FF is associated with adverse outcomes, like aneuploidy.. · In existing studies, Black race is implicated as a risk factor for lower FF.. · Our study found no differences in FF between groups by self-reported race.. · Biological plausibility for race-based differences on clinical tests requires ongoing consideration..

Bringing Inclusivity to "Ethnic" Rhinoplasty: A Novel Anatomical Classification System

"Ethnic rhinoplasty" is a term that historically has been employed to categorize patterns in nasal anatomy, possible procedures to change appearance, and patient and surgeon expectations for expected outcomes for the multitude of patients with features that belong to non-White groups. Categorizing anatomical structures based on broad definitions of race or ethnicity may not be an accurate representation, nor give an accurate depiction of nasal anatomical features. A shift is needed regarding how race and ethnicity are employed in describing nasal anatomy and rhinoplasty. We present a categorization system based on nasal anatomical patterns that may have more meaningful surgical implications without generalization into ethnic groups. Common anatomical nasal features such as projection, rotation, skin thickness, and anthropometric measurements were grouped into types, which may also help in patient education and remove any ethnic or racial terms.

Low Prevalence of Reporting of Participant Race and Ethnicity in Gastroenterology Research Publications

INTRODUCTION

Empirical information on the evolution of reporting race and ethnicity information in gastroenterology research is lacking. To facilitate understanding of where improvements are needed to increase diversity, equity, and inclusion in gastroenterology research, we aimed to evaluate reporting and representation by race and ethnicity in studies published in flagship US-based gastroenterology journals over 20 years.

METHODS

We manually reviewed reporting and representation by race and ethnicity in all original research articles published in the American Journal of Gastroenterology and Gastroenterology in 2000, 2010, and 2020.

RESULTS

Of 1,168 publications, 24% reported information on race/ethnicity, significantly more commonly reported in US-based study samples vs non-US-based samples. While reporting significantly increased over time, reporting rates were still low as of 2020 (37% overall; 54% with US-based samples).

DISCUSSION

We recommend that gastroenterology journals create standard reporting requirements for sociodemographic information, including information on race, ethnicity, and/or cultural background.

Atherosclerotic Cardiovascular Disease Risk Estimates Using the Predicting Risk of Cardiovascular Disease Events Equations

Importance

In 2023, the American Heart Association (AHA) developed the Predicting Risk of Cardiovascular Disease Events (PREVENT) equations to estimate 10-year risk of atherosclerotic cardiovascular disease (ASCVD), as an update to the 2013 pooled cohort equations (PCEs). The PREVENT equations were derived from contemporary cohorts and removed race and added variables for kidney function and statin use.

Objective

To compare national estimates of 10-year ASCVD risk using the PCEs and PREVENT equations and how these equations affect recommendations for primary prevention statin therapy.

Design, Setting, and Participants

This cross-sectional study included adults aged 40 to 75 years who participated in the National Health and Nutrition Examination Survey from 2017 to March 2020. Adults were defined as eligible for primary prevention statin use based on the 2019 AHA/American College of Cardiology guideline on the primary prevention of cardiovascular disease. Data were weighted to be nationally representative and were analyzed from December 27, 2023, to January 31, 2024.

Main Outcomes and Measures

The 10-year ASCVD risk and eligibility for primary prevention statin therapy based on PREVENT and PCE calculations.

Results

In the weighted sample of 3785 US adults (mean [SD] age, 55.7 [9.7] years; 52.5% women) without known ASCVD, 20.7% reported current statin use. The mean estimated 10-year ASCVD risk was 8.0% (95% CI, 7.6%-8.4%) using the PCEs and 4.3% (95% CI, 4.1%-4.5%) using the PREVENT equations. Across all age, sex, and racial subgroups, compared with the PCEs, the mean estimated 10-year ASCVD risk was lower using the PREVENT equations, with the largest difference for Black adults (10.9% [95% CI, 10.1%-11.7%] vs 5.1% [95% CI 4.7%-5.4%]) and individuals aged 70 to 75 years (22.8% [95% CI, 21.6%-24.1%] vs 10.2% [95% CI, 9.6%-10.8%]). The use of the PREVENT equations instead of the PCEs could reduce the number of adults meeting criteria for primary prevention statin therapy from 45.4 million (95% CI, 40.3 million-50.4 million) to 28.3 million (95% CI, 25.2 million-31.4 million). In other words, 17.3 million (95% CI, 14.8 million-19.7 million) adults recommended statins based on the PCEs would no longer be recommended statins based on PREVENT equations, including 4.1 million (95% CI, 2.8 million-5.5 million) adults currently taking statins. Based on the PREVENT equations, 44.1% (95% CI, 38.6%-49.5%) of adults eligible for primary prevention statin therapy reported currently taking statins, equating to 15.8 million (95% CI, 13.4 million-18.2 million) individuals eligible for primary prevention statins who reported not taking statins.

Conclusions and Relevance

This cross-sectional study found that use of the PREVENT equations was associated with fewer US adults being eligible for primary prevention statin therapy; however, the majority of adults eligible for receiving such therapy based on PREVENT equations did not report statin use.

Sexual Debut in Early Adolescence and Individual, School, and Neighborhood Social Capital

PURPOSE

Sexual debut in early adolescence is associated with poor health outcomes in adulthood. We examined the associations of social capital within families, schools, and neighborhoods with early sexual debut.

METHODS

Using data from the Healthy Passages cohort, a longitudinal multilevel study of adolescents, we performed a series of cross-classified multilevel logistic regression models to examine (1) the relative contribution of schools and neighborhoods to the variance and (2) the association of markers of social cohesion/social capital in families, schools, and neighborhoods with sexual debut by 10th grade.

RESULTS

There were 4,001 youth participants nested in 115 schools and 751 neighborhoods, with a high degree of cross-classification (1,340 unique combinations of school and neighborhoods). In models adjusting for individual demographics, neighborhoods contributed more to the variance (log odds U [95% confidence interval {CI}] [intra class correlation {ICC}%]) in sexual debut than schools: Uneighborhoods = 0.11 (0.02, 0.23) [3.2%] versus Uschools = 0.07 (0.01, 0.16) [2%]. Restriction of dating and family cohesion, markers of family social capital, were associated with reduced odds of sexual debut by 10th grade (odds ratio = 0.45 95% CI: 0.41-0.49 and 0.93, 95% CI: 0.86, 1.00). Neighborhood cohesion and education level were associated with early debut. Although reduced, there remained significant, unexplained variance in both the school and neighborhood level in the fully adjusted model (Uschool = 0.08 [0.01, 0.17] [2.3%], Uneighborhood = 0.08 [0.02, 0.17] [2.2%]).

DISCUSSION

Markers of social capital at the family and neighborhood levels were associated with sexual debut by 10th grade. Developers of public health programs aiming to delay sexual debut should consider family-focused and neighborhood-focused interventions.

Health Disparities Research: What Every Pediatric Surgeon Should Know

While the earliest published health disparity research in the United States dates to 1899, the field was not formally established until the late 20th century. Initially focused on race and ethnicity, the field has broadened to include socioeconomic status. Several measures have been developed to quantify socioeconomic disadvantage, including the Social Vulnerability Index, Area Deprivation Index, and Child Opportunity Index. These indices have been validated and demonstrate correlation with health outcomes. However, socioeconomic status cannot fully explain health inequities experienced by people of minoritized racial and ethnic identities. Three generations of health disparities research have been described-identification of disparities, root analysis, and development of interventions to mitigate health inequities. While there has been an increase in publication of health disparity research, there is little third generation work. It is imperative that health disparities research move beyond defining the problem and toward interventions that will reduce health inequities. LEVELS OF EVIDENCE: Level IV.

Participant Diversity in United States Randomized Controlled Trials of Antibacterials for Staphylococcus aureus Infections, 2000-2021

BACKGROUND

Equitable representation of members from historically marginalized groups is important in clinical trials, which inform standards of care. The goal of this study was to characterize the demographics and proportional subgroup reporting and representation of participants enrolled in randomized controlled trials (RCTs) of antibacterials used to treat Staphylococcus aureus infections.

METHODS

We examined randomized controlled registrational and strategy trials published from 2000 to 2021 to determine the sex, race, and ethnicity of participants. Participant to incidence ratios (PIRs) were calculated by dividing the percentage of study participants in each demographic group by the percentage of the disease population in each group. Underrepresentation was defined as a PIR < 0.8.

RESULTS

Of the 87 included studies, 82 (94.2%) reported participant sex, 69 (79.3%) reported participant race, and 20 (23.0%) included ethnicity data. Only 17 (19.5%) studies enrolled American Indian/Alaskan Native participants. Median PIRs indicated that Asian and Black participants were underrepresented in RCTs compared with the incidence of methicillin-resistant S. aureus infections in these subgroups. Underrepresentation of Black participants was associated with a larger study size, international sites, industry sponsorship, and phase 2/3 trials compared with phase 4 trials (P < .05 for each). Black participants had more than 4 times the odds of being underrepresented in phase 2/3 trials compared with phase 4 trials (odds ratio, 4.57; 95% confidence interval: 1.14-18.3).

CONCLUSIONS

Standardized reporting methods for race and ethnicity and efforts to increase recruitment of marginalized groups would help ensure equity, rigor, and generalizability in RCTs of antibacterial agents and reduce health inequities.

Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications

Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECGs) has the potential to transform diagnosis and estimate the prognosis of not only cardiac but, increasingly, noncardiac conditions. In this review, we summarize clinical studies and AI-enhanced ECG-based clinical applications in the early detection, diagnosis, and estimating prognosis of cardiovascular diseases in the past 5 years (2019-2023). With advancements in deep learning and the rapid increased use of ECG technologies, a large number of clinical studies have been published. However, most of these studies are single-centre, retrospective, proof-of-concept studies that lack external validation. Prospective studies that progress from development toward deployment in clinical settings account for < 15% of the studies. Successful implementations of ECG-based AI applications that have received approval from the Food and Drug Administration have been developed through commercial collaborations, with approximately half of them being for mobile or wearable devices. The field is in its early stages, and overcoming several obstacles is essential, such as prospective validation in multicentre large data sets, addressing technical issues, bias, privacy, data security, model generalizability, and global scalability. This review concludes with a discussion of these challenges and potential solutions. By providing a holistic view of the state of AI in ECG analysis, this review aims to set a foundation for future research directions, emphasizing the need for comprehensive, clinically integrated, and globally deployable AI solutions in cardiovascular disease management.

Social determinants of health but not global genetic ancestry predict dementia prevalence in Latin America

INTRODUCTION

Leveraging the nonmonolithic structure of Latin America, which represents a large variability in social determinants of health (SDoH) and high levels of genetic admixture, we aim to evaluate the relative contributions of SDoH and genetic ancestry in predicting dementia prevalence in Latin American populations.

METHODS

Community-dwelling participants aged 65 and older (N = 3808) from Cuba, Dominican Republic, Mexico, and Peru completed the 10/66 protocol assessments. Dementia was diagnosed using the cross-culturally validated 10/66 algorithm. Multivariate linear regression models adjusted for SDoH were used in the main analysis. This study used cross-sectional data from the 1066 population-based study.

RESULTS

Individuals with higher proportions of Native American (>70%) and African American (>70%) ancestry were more likely to exhibit factors contributing to worse SDoH, such as lower educational levels (p < 0.001), lower socioeconomic status (p < 0.001), and higher frequency of vascular risk factors (p < 0.001). After adjusting for measures of SDoH, there was no association between ancestry proportion and dementia probability, and ancestry proportions no longer significantly accounted for the variance in cognitive performance (African predominant p = 0.31 [-0.19, 0.59] and Native predominant p = 0.74 [-0.24, 0.33]).

DISCUSSION

The findings suggest that social and environmental factors play a more crucial role than genetic ancestry in predicting dementia prevalence in Latin American populations. This underscores the need for public health strategies and policies that address these social determinants to effectively reduce dementia risk in these communities.

HIGHLIGHTS

Countries in Latin America express a large variability in social determinants of health and levels of admixture. After adjustment for downstream societal factors linked to SDoH, genetic ancestry shows no link to dementia. Population ancestry profiles alone do not influence cognitive performance. SDoH are key drivers of racial disparities in dementia and cognitive performance.

Mortality burden from variation in provision of surgical care in emergency general surgery: a cohort study using the National Inpatient Sample

Background

The decision to undertake a surgical intervention for an emergency general surgery (EGS) condition (appendicitis, diverticulitis, cholecystitis, hernia, peptic ulcer, bowel obstruction, ischemic bowel) involves a complex consideration of factors, particularly in older adults. We hypothesized that identifying variability in the application of operative management could highlight a potential pathway to improve patient survival and outcomes.

Methods

We included adults aged 65+ years with an EGS condition from the 2016-2017 National Inpatient Sample. Operative management was determined from procedure codes. Each patient was assigned a propensity score (PS) for the likelihood of undergoing an operation, modeled from patient and hospital factors: EGS diagnosis, age, gender, race, presence of shock, comorbidities, and hospital EGS volumes. Low and high probability for surgery was defined using a PS cut-off of 0.5. We identified two model-concordant groups (no surgery-low probability, surgery-high probability) and two model-discordant groups (no surgery-high probability, surgery-low probability). Logistic regression estimated the adjusted OR (AOR) of in-hospital mortality for each group.

Results

Of 375 546 admissions, 21.2% underwent surgery. Model-discordant care occurred in 14.6%; 5.9% had no surgery despite a high PS and 8.7% received surgery with low PS. In the adjusted regression, model-discordant care was associated with significantly increased mortality: no surgery-high probability AOR 2.06 (1.86 to 2.27), surgery-low probability AOR 1.57 (1.49 to 1.65). Model-concordant care showed a protective effect against mortality (AOR 0.83, 0.74 to 0.92).

Conclusions

Nearly one in seven EGS patients received model-discordant care, which was associated with higher mortality. Our study suggests that streamlined treatment protocols can be applied in EGS patients as a means to save lives.

Level of evidence

III.

Reassessing the Use of Race in Clinical Algorithms: An Interactive, Case-Based Session for Medical Students Using eGFR

Introduction

Medical curricula implicitly teach that race has a biological basis. Clinical rotations reinforce this misconception as race-based algorithms are used to guide clinical decision-making. This module aims to expose the fallacy of race in clinical algorithms, using the estimated glomerular filtration rate (eGFR) equation as an example.

Methods

We created a 60-minute module in consultation with nephrologists. The format was an interactive, case-based presentation with a didactic section. A third-year medical student facilitated the workshops to medical students. Evaluation included pre/post surveys using 5-point Likert scales to assess awareness regarding use of race as a biological construct. Higher scores indicated increased awareness.

Results

Fifty-five students participated in the module. Pre/post results indicated that students significantly improved in self-perceived knowledge of the history of racism in medicine (2.6 vs. 3.2, p < .001), awareness of race in clinical algorithms (2.7 vs. 3.7, p < .001), impact of race-based eGFR on quality of life/treatment outcomes (4.5 vs. 4.8, p = .01), differences between race and ancestry (3.7 vs. 4.3, p < .001), and implications of not removing race from the eGFR equation (2.7 vs. 4.2, p < .001). Students rated the workshops highly for quality and clarity.

Discussion

Our module expands on others' work to expose the fallacy of race-based algorithms and define its impact on health equity. Limitations include a lack of objective assessment of knowledge acquisition. We recommend integrating this module into preclinical and clinical curricula to discuss the use of race in medical literature and clinical practice.

Evaluation of Reliability Between Race and Ethnicity Data Obtained from Self-report Versus Electronic Health Record

INTRODUCTION

Disparities based on perceived race and ethnicity exist in all fields of medicine. Accurate data collection is crucial to addressing these disparities, yet few studies have evaluated the validity of data gathered. This study compares self-reported race and ethnicity data, considered the gold standard, with data documented in the electronic health record (EHR), to assess the validity of that data.

METHODS

Data from self-reported questionnaires was collected from adolescents admitted to a psychiatric inpatient unit from February 2019 to July 2022. Demographic questionnaires were self-administered as part of a larger battery completed during the admission process. Data was compared to demographic information collected from the hospital's EHR for the same patients and time.

RESULTS

In a sample of 1191 patients (ages 11-18, 61.9% female, 89% response rate), substantial agreement was observed for Hispanic ethnicity (κ = 0.64), while agreement for specific racial groups ranged from slight to substantial (κ = 0.10-0.63). In addition, it was noted that there was discrepancy between multiracial identification, with 17.1% of patients identifying as more than one race in self-reported data compared to 3.1% in EHR data.

CONCLUSIONS

The findings from this data set highlight the need for caution when using EHR data to draw conclusions about health disparities. It also suggests that the method of data collection meaningfully influences the responses patients provide. Addressing these challenges is essential for advancing equitable healthcare and mitigating disparities among patients.

Race, neighborhood disadvantage, and survival of Medicare beneficiaries after aortic valve replacement and concomitant coronary artery bypass grafting

BACKGROUND

Race, neighborhood disadvantage, and the interaction between these 2 social determinants of health remain poorly understood with regards to survival after aortic valve replacement with concomitant coronary artery bypass grafting (AVR+CABG).

METHODS

Weighted Kaplan-Meier survival analyses and Cox proportional hazards modeling were used to evaluate the association between race, neighborhood disadvantage, and long-term survival in 205,408 Medicare beneficiaries undergoing AVR+CABG from 1999 to 2015. Neighborhood disadvantage was measured using the Area Deprivation Index, a broadly validated ranking of socioeconomic contextual disadvantage.

RESULTS

Self-identified race was 93.9% White and 3.2% Black. Residents of the most disadvantaged quintile of neighborhoods included 12.6% of all White beneficiaries and 40.0% of all Black beneficiaries. Black beneficiaries and residents of the most disadvantaged quintile of neighborhoods had more comorbidities compared with White beneficiaries and residents of the least disadvantaged quintile of neighborhoods, respectively. Increasing neighborhood disadvantage linearly increased the hazard for mortality for Medicare beneficiaries of White but not Black race. Residents of the most and least disadvantaged neighborhood quintiles had weighted median overall survival of 93.0 and 82.1 months, respectively, a significant difference (P < .001 by Cox test for equality of survival curves). Black and White beneficiaries had weighted median overall survival of 93.4 and 90.6 months, respectively, a nonsignificant difference (P = .29 by Cox test for equality of survival curves). A statistically significant interaction between race and neighborhood disadvantage was noted (likelihood ratio test P = .0215) and had implications on whether Black race was associated with survival.

CONCLUSIONS

Increasing neighborhood disadvantage was linearly associated with worse survival after combined AVR+CABG in White but not Black Medicare beneficiaries; race, however, was not independently associated with postoperative survival.

Asking MultiCrit Questions: A Reflexive and Critical Framework to Promote Health Data Equity for the Multiracial Population

Policy Points Health equity work primarily centers monoracial populations; however, the rapid growth of the Multiracial population and increasingly clear health disparities affecting the people in that population complicate our understanding of racial health equity. Limited resources exist for health researchers and professionals grappling with this complexity, likely contributing to the relative dearth of health literature describing the Multiracial population. We introduce a question-based framework built on core principles from Critical Multiracial Theory (MultiCrit) and Critical Race Public Health Praxis, designed for researchers, clinicians, and policymakers to encourage health data equity for the Multiracial population.

The American Society for Bone and Mineral Research Task Force on clinical algorithms for fracture risk report

Using race and ethnicity in clinical algorithms potentially contributes to health inequities. The American Society for Bone and Mineral Research (ASBMR) Professional Practice Committee convened the ASBMR Task Force on Clinical Algorithms for Fracture Risk to determine the impact of race and ethnicity adjustment in the US Fracture Risk Assessment Tool (US-FRAX). The Task Force engaged the University of Minnesota Evidence-based Practice Core to conduct a systematic review investigating the performance of US-FRAX for predicting incident fractures over 10 years in Asian, Black, Hispanic, and White individuals. Six studies from the Women's Health Initiative (WHI) and Study of Osteoporotic Fractures (SOF) were eligible; cohorts only included women and were predominantly White (WHI > 80% and SOF > 99%), data were not consistently stratified by race and ethnicity, and when stratified there were far fewer fractures in Black and Hispanic women vs White women rendering area under the curve (AUC) estimates less stable. In the younger WHI cohort (n = 64 739), US-FRAX without bone mineral density (BMD) had limited discrimination for major osteoporotic fracture (MOF) (AUC 0.53 (Black), 0.57 (Hispanic), and 0.57 (White)); somewhat better discrimination for hip fracture in White women only (AUC 0.54 (Black), 0.53 (Hispanic), and 0.66 (White)). In a subset of the older WHI cohort (n = 23 918), US-FRAX without BMD overestimated MOF. The Task Force concluded that there is little justification for estimating fracture risk while incorporating race and ethnicity adjustments and recommends that fracture prediction models not include race or ethnicity adjustment but instead be population-based and reflective of US demographics, and inclusive of key clinical, behavioral, and social determinants (where applicable). Research cohorts should be representative vis-à-vis race, ethnicity, gender, and age. There should be standardized collection of race and ethnicity; collection of social determinants of health to investigate impact on fracture risk; and measurement of fracture rates and BMD in cohorts inclusive of those historically underrepresented in osteoporosis research.

A tale of two pathways: Review of immune checkpoint inhibitors in DNA mismatch repair-deficient and microsatellite instability-high endometrial cancers

The DNA mismatch repair (MMR) pathway is critical for correcting DNA mismatches generated during DNA replication. MMR-deficiency (MMR-D) leads to microsatellite instability (MSI) associated with an increased mutation rate, driving cancer development. This is particularly relevant in endometrial cancer (EC) as 25%-30% of tumors are of MMR-D/MSI-high (MSI-H) phenotype. Comprehensive assessment using immunohistochemistry (IHC) and sequencing-based techniques are necessary to fully evaluate ECs given the importance of molecular subtyping in staging and prognosis. This also influences treatment selection as clinical trials have demonstrated survival benefits for immune checkpoint inhibitors (ICIs) alone and in combination with chemotherapy for MMR-D/MSI-H EC patients in various treatment settings. As a portion of MMR-D/MSI-H ECs are driven by Lynch syndrome, an inherited cancer predisposition syndrome that is also associated with colorectal cancer, this molecular subtype also prompts germline assessment that can affect at-risk family members. Additionally, heterogeneity in the tumor immune microenvironment and tumor mutation burden (TMB) have been described by MMR mechanism, meaning MLH1 promoter hypermethylation versus germline/somatic MMR gene mutation, and this may affect response to ICI therapies. Variations by ancestry in prevalence and mechanism of MMR-D/MSI-H tumors have also been reported and may influence health disparities given observed differences in tumors of Black compared to White patients which may affect ICI eligibility. These observations highlight the need for additional prospective studies to evaluate the nuances regarding MMR-D heterogeneity as well as markers of resistance to inform future trials of combination therapies to further improve outcomes for patients with EC.

Impact of maternal risk factors on ethnic disparities in maternal mortality: a national population-based cohort study

Background

Ethnic disparities in maternal mortality are consistently reported. This study aimed to investigate the contribution of known risk factors including age, socioeconomic status, and medical comorbidities to observed ethnic disparities in the United Kingdom (UK).

Methods

A cohort of all women who died during or up to six weeks after pregnancy in the UK 2009-2019 were identified through national surveillance. No single denominator population included data on all risk factors, therefore we used logistic regression modelling to compare to 1) routine population birth and demographic data (2015-19) (routine data comparator) and 2) combined control groups of four UK Obstetric Surveillance System studies (UKOSS) control comparator)).

Findings

There were 801 maternal deaths in the UK between 2009 and 2019 (White: 70%, Asian: 13%, Black: 12%, Chinese/Other: 3%, Mixed: 2%). Using the routine data comparator (n = 3,519,931 maternities) to adjust for demographics, including social deprivation, women of Black ethnicity remained at significantly increased risk of maternal death compared with women of white ethnicity (adjusted OR 2.43 (95% Confidence Interval 1.92-3.08)). The risk was greatest in women of Caribbean ethnicity (aOR 3.55 (2.30-5.48)). Among women of White ethnicity, risk of mortality increased as deprivation increased, but women of Black ethnicity had greater risk irrespective of deprivation. Using the UKOSS control comparator (n = 2210), after multiple adjustments including smoking, body mass index, and comorbidities, women of Black and Asian ethnicity remained at increased risk (aOR 3.13 (2.21-4.43) and 1.57 (1.16-2.12) respectively).

Interpretation

Known risk factors do not fully explain ethnic disparities in maternal mortality. The impact of socioeconomic deprivation appears to differ between ethnic groups.

Funding

This research is funded by the National Institute for Health and Care Research (NIHR) Policy Research Programme, conducted through the Policy Research Unit in Maternal and Neonatal Health and Care, PR-PRU-127-21202.

The Child Opportunity Index 2.0 and Disparities in Pediatric Cardiorespiratory Fitness

OBJECTIVE

To evaluate the effect of neighborhood-level characteristics on cardiorespiratory fitness (CRF) via peak oxygen consumption (VO2peak) for healthy pediatric patients.

STUDY DESIGN

The institutional cardiopulmonary exercise testing (CPET) database was analyzed retrospectively. All patients aged ≤ 18 years without a diagnosis of cardiac disease and with a maximal effort CPET were included. Patients were divided into three self-identified racial categories: White, Black, and Latinx. The Child Opportunity Index (COI) 2.0 was used to analyze social determinants of health. CRF was evaluated based on COI quintiles and race. Assessment of the effect of COI on racial disparities in CRF was performed using ANCOVA.

RESULTS

A total of 1753 CPETs met inclusion criteria. The mean VO2peak was 42.1 ± 9.8 mL/kg/min. The VO2peak increased from 39.1 ± 9.6 mL/kg/min for patients in the very low opportunity cohort to 43.9 ± 9.4 mL/kg/min for patients in the very high opportunity cohort. White patients had higher percent predicted VO2peak compared with both Black and Latinx patients (P < .01 for both comparisons). The racial differences in CRF were no longer significant when adjusting for COI.

CONCLUSION

In a large pediatric cohort, COI was associated with CRF. Racial disparities in CRF are reduced when accounting for modifiable risk factors.

An Evaluation of Racial and Ethnic Representation in Research Conducted with Young Adults Diagnosed with Cancer: Challenges and Considerations for Building More Equitable and Inclusive Research Practices

The psychosocial outcomes of adolescents and young adults (AYAs) diagnosed with cancer are poorer compared to their peers without cancer. However, AYAs with cancer from diverse racial and ethnic groups have been under-represented in research, which contributes to an incomplete understanding of the psychosocial outcomes of all AYAs with cancer. This paper evaluated the racial and ethnic representation in research on AYAs diagnosed with cancer using observational, cross-sectional data from the large Young Adults with Cancer in Their Prime (YACPRIME) study. The purpose was to better understand the psychosocial outcomes for those from diverse racial and ethnic groups. A total of 622 participants with a mean age of 34.15 years completed an online survey, including measures of post-traumatic growth, quality of life, psychological distress, and social support. Of this sample, 2% (n = 13) of the participants self-identified as Indigenous, 3% (n = 21) as Asian, 3% (n = 20) as "other," 4% (n = 25) as multi-racial, and 87% (n = 543) as White. A one-way ANOVA indicated a statistically significant difference between racial and ethnic groups in relation to spiritual change, a subscale of post-traumatic growth, F(4,548) = 6.02, p < 0.001. Post hoc analyses showed that those under the "other" category endorsed greater levels of spiritual change than those who identified as multi-racial (p < 0.001, 95% CI = [2.49,7.09]) and those who identified as White (p < 0.001, 95% CI = [1.60,5.04]). Similarly, participants that identified as Indigenous endorsed greater levels of spiritual change than those that identified as White (p = 0.03, 95% CI = [1.16,4.08]) and those that identified as multi-racial (p = 0.005, 95% CI = [1.10,6.07]). We provided an extensive discussion on the challenges and limitations of interpreting these findings, given the unequal and small sample sizes across groups. We concluded by outlining key recommendations for researchers to move towards greater equity, inclusivity, and culturally responsiveness in future work.

Birth History and Cardiovascular Disease Risk Among Youth With Significant Obesity

Children born prematurely have greater lifetime risk for hypertension. We aimed to determine (1) the association between prematurity and cardiovascular disease (CVD) risk factors among 90 children with obesity and elevated blood pressure and (2) if dietary sodium intake modified these associations. Multivariable regression analysis explored for associations between prematurity (<37 weeks gestation; early gestational age) and low birth weight (<2.5 kg) with hypertension, left ventricular mass index (LVMI), and left ventricular hypertrophy (LVH). Effect modification by dietary sodium intake was also explored. Patients were predominately male (60%), black (78%), adolescents (13.3 years), and with substantial obesity (body mass index: 36.5 kg/m2). Early gestational age/low birth weight was not an independent predictor for hypertension, LVMI, or LVH. There was no effect modification by sodium load. Our results suggest the increased CVD risk conferred by prematurity is less significant at certain cardiometabolic profiles. Promoting heart-healthy lifestyles to prevent pediatric obesity remains of utmost importance to foster cardiovascular health.

Personalized Infant Risk Prediction for Severe Respiratory Syncytial Virus Lower Respiratory Tract Infection Requiring Intensive Care Unit Admission

Background

Currently, there are no available tools to identify infants at the highest risk of significant morbidity and mortality from respiratory syncytial virus (RSV) lower respiratory tract infection (LRTI) who would benefit most from RSV prevention products. The objective was to develop and internally validate a personalized risk prediction tool for use among all newborns that uses readily available birth/postnatal data to predict RSV LRTI requiring intensive care unit (ICU) admission.

Methods

We conducted a population-based birth cohort study of infants born from 1995 to 2007, insured by the Tennessee Medicaid Program, and who did not receive RSV immunoprophylaxis during the first year of life. The primary outcome was severe RSV LRTI requiring ICU admission during the first year of life. We built a multivariable logistic regression model including demographic and clinical variables available at or shortly after birth to predict the primary outcome.

Results

In a population-based sample of 429 365 infants, 713 (0.2%) had severe RSV LRTI requiring ICU admission. The median age of admission was 66 days (interquartile range, 37-120). Our tool, including 19 variables, demonstrated good predictive accuracy (area under the curve, 0.78; 95% confidence interval, 0.77-0.80) and identified infants who did not qualify for palivizumab, based on American Academy of Pediatrics guidelines, but had higher predicted risk levels than infants who qualified (27% of noneligible infants with >0.16% predicted probabilities [lower quartile for eligible infants]).

Conclusions

We developed a personalized tool that identified infants at increased risk for severe RSV LRTI requiring ICU admission, expected to benefit most from immunoprophylaxis.

Disparities in Racial, Ethnic, and Payer Groups for Pediatric Safety Events in US Hospitals

BACKGROUND AND OBJECTIVES

Health care disparities are pervasive, but little is known about disparities in pediatric safety. We analyzed a national sample of hospitalizations to identify disparities in safety events.

METHODS

In this population-based, retrospective cohort study of the 2019 Kids' Inpatient Database, independent variables were race, ethnicity, and payer. Outcomes were Agency for Healthcare Research and Quality pediatric safety indicators (PDIs). Risk-adjusted odds ratios were calculated using white and private payer reference groups. Differences by payer were evaluated by stratifying race and ethnicity.

RESULTS

Race and ethnicity of the 5 243 750 discharged patients were white, 46%; Hispanic, 19%; Black, 15%; missing, 8%; other race/multiracial, 7%, Asian American/Pacific Islander, 5%; and Native American, 1%. PDI rates (per 10 000 discharges) were 331.4 for neonatal blood stream infection, 267.5 for postoperative respiratory failure, 114.9 for postoperative sepsis, 29.5 for postoperative hemorrhage/hematoma, 5.6 for central-line blood stream infection, 3.5 for accidental puncture/laceration, and 0.7 for iatrogenic pneumothorax. Compared with white patients, Black and Hispanic patients had significantly greater odds in 5 of 7 PDIs; the largest disparities occurred in postoperative sepsis (adjusted odds ratio, 1.55 [1.38-1.73]) for Black patients and postoperative respiratory failure (adjusted odds ratio, 1.34 [1.21-1.49]) for Hispanic patients. Compared with privately insured patients, Medicaid-covered patients had significantly greater odds in 4 of 7 PDIs; the largest disparity occurred in postoperative sepsis (adjusted odds ratios, 1.45 [1.33-1.59]). Stratified analyses demonstrated persistent disparities by race and ethnicity, even among privately insured children.

CONCLUSIONS

Disparities in safety events were identified for Black and Hispanic children, indicating a need for targeted interventions to improve patient safety in the hospital.

Lifetime use of alcohol and cannabis among U.S. adolescents across age: Exploring differential patterns by sex and race/ethnicity using the 2019 NSDUH data

Background

Early use of alcohol and cannabis is associated with health and social problems. It is unclear how lifetime use changes for each additional year of age during adolescence, and whether this change varies by sex and race/ethnicity. This study characterized lifetime rates of alcohol and cannabis use by age among 12- to 17-year-old American youth and explored differential patterns by sex and race/ethnicity.

Methods

Data were obtained from the 2019 National Survey on Drug Use and Health. Analyses were restricted to 12-17-year-olds who were non-Hispanic White, non-Hispanic Black, or Hispanic/Latino (n = 11,830). We estimated the increase in lifetime use of alcohol and cannabis by age for the full sample and stratified by sex and race/ethnicity. Slopes of the regression lines were compared to assess differential patterns across groups.

Results

In these cross-sectional analyses, reported lifetime use increased substantially from age 12 to 17 for alcohol (6.4 % to 53.2 %) and cannabis (1.3 % to 35.9 %). The increase in lifetime alcohol use was slightly, but not significantly, steeper among girls than boys (F1,8 = 3.40, p = 0.09). White and Latino youth showed similar rates of increase in lifetime alcohol use, which was significantly flatter among Black youth (F2,12=21.26, p<0.0001). Latino youth had a slightly, but not significantly, steeper increase in lifetime cannabis use than White and Black youth (F2,12=3.17, p = 0.07).

Conclusions

Reports of lifetime alcohol and cannabis use substantially increase from age 12 to 17 and the rates are different according to sex and race/ethnicity, highlighting the need for early and tailored substance use prevention in adolescents.

The impact of skin color and tone on histamine iontophoresis and Doppler flowmetry measurements as a pharmacodynamic biomarker

The phenotypical manifestations of asthma among children are diverse and exhibit varying responses to therapeutic interventions. There is a need to develop objective biomarkers to improve the characterization of allergic and inflammatory responses relevant to asthma to predict therapeutic treatment responses. We have previously investigated histamine iontophoresis with laser Doppler flowmetry (HILD) as a potential surrogate biomarker that characterizes histamine response and may be utilized to guide the treatment of allergic and inflammatory disease. We have identified intra-individual variability of HILD response type among children and adults with asthma and that HILD response type varied in association with racial classification. As laser Doppler flowimetry may be impacted by skin color, we aimed to further validate the HILD method by determining if skin color or tone is associated with observed HILD response type differences. We conducted an observational study utilizing quantification of skin color and tone obtained from photographs of the skin among participants during HILD assessments via the RGB color model. We compared RGB values across racial, ethnic, and HILD response type via the Kruskal-Wallis test and calculated Kendall rank correlation coefficient to evaluate the relationship between RGB composite scores and HILD pharmacodynamic measures. We observed that RGB scores differed among racial groups and histamine response phenotypes (p < 0.05). However, there was a lack of correlation between the RGB composite score and HILD pharmacodynamic measures (r values 0.1, p > 0.05). These findings suggest that skin color may not impact HILD response variations, necessitating further research to understand previously observed differences across identified racial groups.

Follow the citations: Tracing pathways of "race as biology" assumptions in medical algorithms in eGFR and spirometry

Despite overwhelming evidence to the contrary, the concept of 'race' as a biological unit continues to persist in various scientific disciplines, notably in the field of medicine. This paper explores the persistence of 'race as biology' in medical research via examining select citational practices that have perpetuated this problematic concept. Citations serve as a cornerstone in scientific literature, signifying reliability and expert affirmation. By analyzing citation threads and historical patterns, we aim to shed light on the creation and perpetuation of false scientific truths and their impact on medical research, training, and practice. We focus on two prominent examples, eGFR and Spirometry, and trace key articles' citational histories, highlighting the flawed evidence in support of racial corrections in medical assessments. The eGFR equation incorporates 'race' as a factor based on the erroneous belief that Black individuals have higher muscle mass than white individuals. Our analysis reveals that key cited sources for this belief lack robust and well-developed datasets. Similarly, Spirometry measurements incorporate racial correction factors, relying on questionable evidence dating back to the Civil War era. Citations serve as a cornerstone in scientific literature, signifying reliability and expert affirmation. They play a crucial role in shaping theoretical positions and validating data and assumed knowledge. Evaluating citation threads and key articles consistently referenced over time can reveal how falsehoods and erroneous assertions are constructed and maintained in scientific fields. This study underscores the need for critical examination of citational practices in medical research and urges a shift toward a more cautious approach when citing sources that support 'race as biology.' The paper calls for a reevaluation of pedagogical approaches and assigned readings in medical education to prioritize an anti-racist perspective in future research endeavors.

Racial disparities in breast cancer survival after treatment initiation in Brazil: a nationwide cohort study

BACKGROUND

Breast cancer is a public health priority in Brazil and ensuring equity in health care is one of the cancer control plan goals. Our aim was to present the first assessment on the influence of race or skin colour on breast cancer survival at the national level.

METHODS

In this nationwide cohort study, data on women who initiated treatment for breast cancer in the public health-care system (Sistema Unico de Saúde), Brazil, were assembled through record linkage of administrative and mortality information systems. The administrative information systems were the Outpatient Information System (data from high complexity procedure authorisations) and the Hospital Information System (data from hospitalisation authorisations). We included women aged 19 years or older who started treatment between Jan 1, 2008, and Nov 30, 2010; self-identified as having White, Black, or Brown race or skin colour; had tumour stage I-IV; and were treated with chemotherapy or radiotherapy, or both. Patients were followed up until Dec 31, 2015. Patients with only hormone therapy records or who underwent only surgery were excluded. The Kaplan-Meier method was used to estimate crude overall survival for race or skin colour by time since treatment initiation, and Cox regression to estimate all-cause mortality hazard ratios (HRs) before and after adjustment for other covariates.

FINDINGS

We identified 59 811 women treated for stage I-IV breast cancer. 37 318 (62·4%) women identified themselves as White, 18 779 (31·4%) as Brown, and 3714 (6·2%) as Black. 5-year overall survival probability was higher for White women (74% [95% CI 73-74]) than Black women (64% [62-65]; p<0·0001). In adjusted regression models stratified by the absence of hormone therapy, Black women had a 24% (HR 1·24 [95% CI 1·16-1·34]; p<0·0001) higher risk of all-cause death than White women, and in the presence of hormone therapy Black women had a 25% (1·25 [1·14-1·38]; p<0·0001) higher risk of all-cause death than White women.

INTERPRETATION

Black skin colour was identified as a statistically significant risk marker for lower 5-year survival probability and higher risk of all-cause death among women treated for breast cancer by the Sistema Unico de Saúde. Actions to understand and mitigate this unfair difference in health results are urgently needed.

FUNDING

Conselho Nacional de Desenvolvimento Científico e Tecnológico and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior and Pró-Reitoria de Pesquisa da Universidade Federal de Minas Gerais.

Ethnic and racial differences in self-reported symptoms, health status, activity level, and missed work at 3 and 6 months following SARS-CoV-2 infection

Introduction

Data on ethnic and racial differences in symptoms and health-related impacts following SARS-CoV-2 infection are limited. We aimed to estimate the ethnic and racial differences in symptoms and health-related impacts 3 and 6 months after the first SARS-CoV-2 infection.

Methods

Participants included adults with SARS-CoV-2 infection enrolled in a prospective multicenter US study between 12/11/2020 and 7/4/2022 as the primary cohort of interest, as well as a SARS-CoV-2-negative cohort to account for non-SARS-CoV-2-infection impacts, who completed enrollment and 3-month surveys (N = 3,161; 2,402 SARS-CoV-2-positive, 759 SARS-CoV-2-negative). Marginal odds ratios were estimated using GEE logistic regression for individual symptoms, health status, activity level, and missed work 3 and 6 months after COVID-19 illness, comparing each ethnicity or race to the referent group (non-Hispanic or white), adjusting for demographic factors, social determinants of health, substance use, pre-existing health conditions, SARS-CoV-2 infection status, COVID-19 vaccination status, and survey time point, with interactions between ethnicity or race and time point, ethnicity or race and SARS-CoV-2 infection status, and SARS-CoV-2 infection status and time point.

Results

Following SARS-CoV-2 infection, the majority of symptoms were similar over time between ethnic and racial groups. At 3 months, Hispanic participants were more likely than non-Hispanic participants to report fair/poor health (OR: 1.94; 95%CI: 1.36-2.78) and reduced activity (somewhat less, OR: 1.47; 95%CI: 1.06-2.02; much less, OR: 2.23; 95%CI: 1.38-3.61). At 6 months, differences by ethnicity were not present. At 3 months, Other/Multiple race participants were more likely than white participants to report fair/poor health (OR: 1.90; 95% CI: 1.25-2.88), reduced activity (somewhat less, OR: 1.72; 95%CI: 1.21-2.46; much less, OR: 2.08; 95%CI: 1.18-3.65). At 6 months, Asian participants were more likely than white participants to report fair/poor health (OR: 1.88; 95%CI: 1.13-3.12); Black participants reported more missed work (OR, 2.83; 95%CI: 1.60-5.00); and Other/Multiple race participants reported more fair/poor health (OR: 1.83; 95%CI: 1.10-3.05), reduced activity (somewhat less, OR: 1.60; 95%CI: 1.02-2.51; much less, OR: 2.49; 95%CI: 1.40-4.44), and more missed work (OR: 2.25; 95%CI: 1.27-3.98).

Discussion

Awareness of ethnic and racial differences in outcomes following SARS-CoV-2 infection may inform clinical and public health efforts to advance health equity in long-term outcomes.

Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD

BACKGROUND

Children with CKD are at risk for impaired neurocognitive functioning. We investigated metabolomic associations with neurocognition in children with CKD.

METHODS

We leveraged data from the Chronic Kidney Disease in Children (CKiD) study and the Neurocognitive Assessment and Magnetic Resonance Imaging Analysis of Children and Young Adults with Chronic Kidney Disease (NiCK) study. CKiD is a multi-institutional cohort that enrolled children aged 6 months to 16 years with eGFR 30-90 ml/min per 1.73 m 2 ( n =569). NiCK is a single-center cross-sectional study of participants aged 8-25 years with eGFR<90 ml/min per 1.73 m 2 ( n =60) and matched healthy controls ( n =67). Untargeted metabolomic quantification was performed on plasma (CKiD, 622 metabolites) and serum (NiCK, 825 metabolites) samples. Four neurocognitive domains were assessed: intelligence, attention regulation, working memory, and parent ratings of executive function. Repeat assessments were performed in CKiD at 2-year intervals. Linear regression and linear mixed-effects regression analyses adjusting for age, sex, delivery history, hypertension, proteinuria, CKD duration, and glomerular versus nonglomerular diagnosis were used to identify metabolites associated with neurocognitive z-scores. Analyses were performed with and without adjustment for eGFR.

RESULTS

There were multiple metabolite associations with neurocognition observed in at least two of the analytic samples (CKiD baseline, CKiD follow-up, and NiCK CKD). Most of these metabolites were significantly elevated in children with CKD compared with healthy controls in NiCK. Notable signals included associations with parental ratings of executive function: phenylacetylglutamine, indoleacetylglutamine, and trimethylamine N-oxide-and with intelligence: γ -glutamyl amino acids and aconitate.

CONCLUSIONS

Several metabolites were associated with neurocognitive dysfunction in pediatric CKD, implicating gut microbiome-derived substances, mitochondrial dysfunction, and altered energy metabolism, circulating toxins, and redox homeostasis.

PODCAST

This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_17_CJN0000000000000318.mp3.

Socioeconomic disadvantage is correlated with worse PROMIS outcomes following lumbar fusion

BACKGROUND CONTEXT

Socioeconomic status (SES) has been associated with differential healthcare outcomes and may be proxied using the area-deprivation index (ADI). Few studies to date have investigated the role of ADI on patient-reported outcomes and clinically meaningful improvement following lumbar spine fusion surgery.

PURPOSE

The purpose of this study is to investigate the role of SES on lumbar fusion outcomes using Patient-Reported Outcomes Measurement Information System (PROMIS) surveys.

STUDY DESIGN/SETTING

Retrospective review of a single institution cohort.

PATIENT SAMPLE

About 205 patients who underwent elective one-to-three level posterior lumbar spine fusion.

OUTCOME MEASURES

Change in PROMIS scores and achievement of minimum clinically important difference (MCID).

METHODS

Patients 18 years or older undergoing elective one-to-three level lumbar spine fusion secondary to spinal degeneration from January 2015 to September 2021 with minimum one year follow-up were reviewed. ADI was calculated using patient-supplied addresses and patients were grouped into quartiles. Higher ADI values represent worse deprivation. Minimum clinically important difference (MCID) thresholds were calculated using distribution-based methods. Analysis of variance testing was used to assess differences within and between the quartile cohorts. Multivariable regression was used to identify features associated with the achievement of MCID.

RESULTS

About 205 patients met inclusion and exclusion criteria. The average age of our cohort was 66±12 years. The average time to final follow-up was 23±8 months (range 12-36 months). No differences were observed between preoperative baseline scores amongst the four quartiles. All ADI cohorts showed significant improvement for pain interference (PI) at final follow-up (p<.05), with patients who had the lowest socioeconomic status having the lowest absolute improvement from preoperative baseline physical function (PF) and PI (p=.01). Only those patients who were in the lowest socioeconomic quartile failed to significantly improve for PF at final follow-up (p=.19). There was a significant negative correlation between socioeconomic level and the absolute proportion of patients reaching MCID for PI (p=.04) and PF (p=.03). However, while ADI was a significant predictor of achieving MCID for PI (p=.02), it was nonsignificant for achieving MCID for PF.

CONCLUSIONS

Our study investigated the influence of ADI on postoperative PROMIS scores and identified a negative correlation between ADI quartile and the proportion of patients reaching MCID. Patients in the worse ADI quartile had lower chances of reaching clinically meaningful improvement in PI. Policies focused on alleviating geographical deprivation may augment clinical outcomes following lumbar surgery.

Behavioral and psychiatric correlates of brain responses to social feedback

Maladaptive responses to peer acceptance and rejection arise in numerous psychiatric disorders in adolescence; yet, homogeneity and heterogeneity across disorders suggest common and unique mechanisms of impaired social function. We tested the hypothesis that social feedback is processed similarly to other forms of feedback (e.g., monetary) by examining the correspondence between the brain's response to social acceptance and rejection and behavioral performance on a separate reward and loss task. We also examined the relationship between these brain responses and depression and social anxiety severity. The sample consisted of one hundred and thirteen 16-21-year olds who received virtual peer acceptance/rejection feedback in an event-related potential (ERP) task. We used temporospatial principal component analysis and identified a component consistent with the reward positivity (RewP) or feedback negativity (FN). RewP to social acceptance was not significantly related to reward bias or the FN to social rejection related to loss avoidance. The relationship between RewP and depression severity, while nonsignificant, was of a similar magnitude to prior studies. Exploratory analyses yielded a significant relationship between lower socioeconomic status (SES) and blunted RewP and between lower SES and heightened loss avoidance and blunted reward bias. These findings build on prior work to improve our understanding of the function of the brain's response to social feedback, while also suggesting a pathway for further study, whereby poverty leads to depression via social and reward learning mechanisms.

Does affiliation with a minority group affect patient activation?

OBJECTIVE

To systematically review published studies assessing associations between ethnicity and patient activation (PA) among people with chronic conditions.

METHODS

A systematic review (PROSPERO-CRD42022320793) was performed by searching in PubMed, CINAHL, Scopus, and Google Scholar. Studies were included according to the following criteria: age > 18, diagnosis of at least one chronic condition, assessment of PA, report of ethnic minority group, and statistical analyses of PA scores include between-group comparisons or correlation or regression with ethnic group affiliation. Two reviewers conducted independent screening of records and full-text articles published until July 2021. Quality was evaluated using the National Institutes of Health study quality assessment tool.

RESULTS

From 197 records identified, 12 studies were included. The majority of studies focused on participants of White, Black and Hispanic ethnicity. Seven studies establish a significant association between ethnicity and PA, while the remainder of the studies found no association or inconclusive results.

CONCLUSIONS

The findings indicate that ethnicity is related to PA although additional, multiple explanatory variables other than ethnicity to PA were identified. Practice implications Programs to promote PA should be adjusted to participants' ethnic affiliation but consider differences in the barriers to PA and their magnitude that may differ across different ethnicities.

Disparities in Pharmacologic Restraint for Children Hospitalized in Mental Health Crisis

BACKGROUND AND OBJECTIVES

Children hospitalized with a mental health crisis often receive pharmacologic restraint for management of acute agitation. We examined associations between pharmacologic restraint use and race and ethnicity among children admitted for mental health conditions to acute care nonpsychiatric children's hospitals.

METHODS

We performed a retrospective cohort study of children (aged 5-≤18 years) admitted for a primary mental health condition from 2018 to 2022 at 41 US children's hospitals. Pharmacologic restraint use was defined as parenteral administration of medications for acute agitation. The association of race and ethnicity and pharmacologic restraint was assessed using generalized linear multivariable mixed models adjusted for clinical and demographic factors. Stratified analyses were performed based on significant interaction analyses between covariates and race and ethnicity.

RESULTS

The cohort included 61 503 hospitalizations. Compared with non-Hispanic Black children, children of non-Hispanic White (adjusted odds ratio [aOR], 0.81; 95% confidence interval [CI], 0.72-0.92), Asian (aOR, 0.82; 95% CI, 0.68-0.99), or other race and ethnicity (aOR, 0.68; 95% CI, 0.57-0.82) were less likely to receive pharmacologic restraint. There was no significant difference with Hispanic children. When stratified by sex, racial/ethnic differences were magnified in males (aORs, 0.49-0.68), except for Hispanic males, and not found in females (aORs, 0.83-0.93). Sensitivity analysis revealed amplified disparities for all racial/ethnic groups, including Hispanic youth (aOR, 0.65; 95% CI, 0.47-0.91).

CONCLUSIONS

Non-Hispanic Black children were significantly more likely to receive pharmacologic restraint. More research is needed to understand reasons for these disparities, which may be secondary to implicit bias and systemic and interpersonal racism.

The Association Between Black vs. White Race and 30-Day Hospitalization Among People Diagnosed with COVID-19 Within an Integrated Care Setting: a Cohort Study

BACKGROUND

Black Americans are more likely to experience hospitalization from COVID-19 compared with White Americans. Whether this excess risk differs by age, sex, obesity, or diabetes, key risk factors for COVID hospitalization, among an integrated population with uniform healthcare access, are less clear.

METHODS

We identified all adult members (≥ 18 years) of Kaiser Permanente Georgia (KPGA) diagnosed with COVID-19 between January 1, 2020, and September 30, 2021 (N = 24,564). We restricted the analysis to members of Black or White race identified from electronic medical records. Our primary outcome was first hospitalization within 30 days of COVID-19 diagnosis. To assess the association between race and 30-day hospitalization, we performed multivariable logistic regression adjusting for several member and neighborhood-level characteristics, and tested for interactions of race with age, sex, diabetes, and obesity. A regression-based decomposition method was then used to estimate how much of the observed race disparity in 30-day hospitalization could be explained by member and neighborhood-level factors.

RESULTS

Overall, 11.27% of Black KPGA members were hospitalized within 30 days of a COVID diagnosis, as compared with 9.44% of White KPGA members. Black (vs. White) KPGA members had a 34% (aOR: 1.32 [95% CI: 1.19-1.47]) higher odds of 30-day hospitalization following COVID-19 after accounting for clinical differences. The odds of 30-day hospitalization in Black vs. White KPGA members did not differ significantly by sex (men: 1.46 [1.25-1.70]; women: 1.24 [1.07-1.43]), by age (18-29 years: 1.33 [0. 841-2.10]; 30-49 years: 1.26 [1.02-1.56]; ≥ 50 years: 1.24 [1.10-1.41]); by diabetes status (with diabetes: 1.38 [1.16-1.66]; without diabetes: 1.26 [1.11-1.44]), or by obesity (with obesity: 1.31 [1.15-1.50]; without obesity: 1.28 [1.06-1.53]). Factors that, if Black and White KPGA members had the same level of exposure, would be most likely to reduce the Black-White disparity in 30-day hospitalization from COVID-19 were obesity, history of flu vaccine, and neighborhood-level income and social vulnerability.

CONCLUSIONS

Early in the pandemic, Black (vs. White) members of an integrated health system had higher odds of being hospitalized within 30 days of COVID-19 diagnosis and this excess risk was similar by sex, age, and comorbidities. Factors that explained the largest proportions of race-based disparities were obesity, receipt of flu vaccine, and neighborhood-level social determinants of health. These findings suggest that social determinants of health, or other unmeasured factors, may be drivers of racial disparities in COVID-19 outcomes.

Post-diagnosis weight trajectories and mortality among women with breast cancer

Weight gain after breast cancer diagnosis is associated with adverse health outcomes. Yet, few studies have characterized post-diagnosis weight change in the modern treatment era or populations most at risk for weight changes. Among women diagnosed with stages I-III breast cancer in the Smilow Care Network (2013-2019; N = 5441), we abstracted demographic and clinical characteristics from electronic health records and survival data from tumor registries. We assessed if baseline characteristics modified weight trajectories with nonlinear multilevel mixed-effect models. We evaluated body mass index (BMI) at diagnosis and weight change 1-year post-diagnosis in relation to all-cause and breast cancer-specific mortality with Cox proportional hazard models. Women had 34.4 ± 25.5 weight measurements over 3.2 ± 1.8 years of follow-up. Weight gain was associated with ER/PR-, HER2+ tumors, BMI ≤ 18.5 kg/m2, and age ≤ 45 years (+4.90 kg (standard error [SE] = 0.59), +3.24 kg (SE = 0.34), and +1.75 kg (SE = 0.10), respectively). Weight loss was associated with BMI ≥ 35 kg/m2 and age ≥ 70 years (-4.50 kg (SE = 0.08) and -4.34 kg (SE = 0.08), respectively). Large weight loss (≥10%), moderate weight loss (5-10%), and moderate weight gain (5-10%) 1-year after diagnosis were associated with higher all-cause mortality (hazard ratio [HR] = 2.93, 95% confidence interval [CI] = 2.28-3.75, HR = 1.32, 95% CI = 1.02-1.70 and HR = 1.39, 95% CI = 1.04-1.85, respectively). BMI ≥ 35 kg/m2 or BMI ≤ 18.5 kg/m2 at diagnosis were also associated with higher all-cause mortality. Weight change after a breast cancer diagnosis differed by demographic and clinical characteristics highlighting subgroups at-risk for weight change during a 5-year period post-diagnosis. Monitoring and interventions for weight management early in clinical care are important.

Effect of Race/Ethnicity on United States FRAX Calculations and Treatment Qualification: A Registry-Based Study

Since 2008. the United States has had four race/ethnic fracture risk assessment tool (FRAX) calculators: White ("Caucasian"), Black, Asian, and Hispanic. The American Society for Bone and Mineral Research Task Force on Clinical Algorithms for Fracture Risk has been examining the implications of retaining race/ethnicity in the US FRAX calculators. To inform the Task Force, we computed FRAX scores according to each US calculator in 114,942 White, 485 Black, and 2816 Asian women (self-reported race/ethnicity) aged 50 years and older. We estimated treatment qualification based upon FRAX thresholds (3% for hip fracture, 20% for major osteoporotic fracture [MOF]). Finally, we examined measures for a hypothetical population-based FRAX calculator derived as the weighted mean for the US population based upon US Census Bureau statistics. With identical inputs, the highest FRAX measurements were found with the White FRAX calculator, lowest measurements with the Black calculator, and intermediate measurements for the Asian and Hispanic calculators. The percentage of women with FRAX scores exceeding the hip fracture treatment threshold was 32.0% for White, 1.9% for Black, and 19.7% for Asian women; the MOF treatment threshold was exceeded for 14.9% of White, 0.0% of Black, and 3.5% of Asian women. Disparities in treatment qualification were reduced after considering additional criteria (fracture history and dual-energy X-ray absorptiometry [DXA] T-score -2.5 or lower). When fracture risk was recalculated for non-White women using the White FRAX calculator, mean values for Asian women slightly exceeded those for White women but for Black women remained substantially below those for White women. When using a single population-based FRAX calculator, the mean probability of fracture and treatment qualification increased for non-White women across the age range. In summary, use of a single population-based FRAX calculator, rather than existing US race/ethnic FRAX calculators, will reduce differences in treatment qualification and may ultimately enhance equity and access to osteoporosis treatment. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Race and Ethnicity of Infants Enrolled in Neonatal Clinical Trials: A Systematic Review

Importance

Representativeness of populations within neonatal clinical trials is crucial to moving the field forward. Although racial and ethnic disparities in research inclusion are well documented in other fields, they are poorly described within neonatology.

Objective

To describe the race and ethnicity of infants included in a sample of recent US neonatal clinical trials and the variability in this reporting.

Evidence Review

A systematic search of US neonatal clinical trials entered into Cochrane CENTRAL 2017 to 2021 was conducted. Two individuals performed inclusion determination, data extraction, and quality assessment independently with discrepancies adjudicated by consensus.

Findings

Of 120 studies with 14 479 participants that met the inclusion criteria, 75 (62.5%) included any participant race or ethnicity data. In the studies that reported race and ethnicity, the median (IQR) percentage of participants of each background were 0% (0%-1%) Asian, 26% (9%-42%) Black, 3% (0%-12%) Hispanic, 0% (0%-0%) Indigenous (eg, Alaska Native, American Indian, and Native Hawaiian), 0% (0%-0%) multiple races, 57% (30%-68%) White, and 7% (1%-21%) other race or ethnicity. Asian, Black, Hispanic, and Indigenous participants were underrepresented, while White participants were overrepresented compared with a reference sample of the US clinical neonatal intensive care unit (NICU) population from the Vermont Oxford Network. Many participants were labeled as other race or ethnicity without adequate description. There was substantial variability in terms and methods of reporting race and ethnicity data. Geographic representation was heavily skewed toward the Northeast, with nearly one-quarter of states unrepresented.

Conclusions and Relevance

These findings suggest that neonatal research may perpetuate inequities by underrepresenting Asian, Black, Hispanic, and Indigenous neonates in clinical trials. Studies varied in documentation of race and ethnicity, and there was regional variation in the sites included. Based on these findings, funders and clinical trialists are advised to consider a 3-point targeted approach to address these issues: prioritize identifying ways to increase diversity in neonatal clinical trial participation, agree on a standardized method to report race and ethnicity among neonatal clinical trial participants, and prioritize the inclusion of participants from all regions of the US in neonatal clinical trials.

Understanding COVID-19 Health Disparities With Birth Country and Language Data

INTRODUCTION

Understanding of COVID-19-related disparities in the U.S. is largely informed by traditional race/ethnicity categories that mask important social group differences. This analysis utilizes granular information on patients' country of birth and preferred language from a large health system to provide more nuanced insights into health disparities.

METHODS

Data from patients seeking care from a large Midwestern health system between January 1, 2019 and July 31, 2021 and COVID-19-related events occurring from March 18, 2020 to July 31, 2021 were used to describe COVID-19 disparities. Statistics were performed between January 1, 2022 and March 15, 2023. Age-adjusted generalized linear models estimated RR across race/ethnicity, country of birth grouping, preferred language, and multiple stratified groups.

RESULTS

The majority of the 1,114,895 patients were born in western advanced economies (58.6%). Those who were Hispanic/Latino, were born in Latin America and the Caribbean, and preferred Spanish language had highest RRs of infection and hospitalization. Black-identifying patients born in sub-Saharan African countries had a higher risk of infection than their western advanced economies counterparts. Subanalyses revealed elevated hospitalization and death risk for White-identifying patients from Eastern Europe and Central Asia and Asian-identifying patients from Southeast Asia and the Pacific. All non-English languages had a higher risk of all COVID-19 outcomes, most notably Hmong and languages from Burma/Myanmar.

CONCLUSIONS

Stratifications by country of birth grouping and preferred language identified culturally distinct groups whose vulnerability to COVID-19 would have otherwise been masked by traditional racial/ethnic labels. Routine collection of these data is critical for identifying social groups at high risk and for informing linguistically and culturally relevant interventions.

Research on Health Disparities: Strategies and Findings From the Black Women's Health Study

The American Journal of Epidemiology has been a platform for findings from the Black Women's Health Study (BWHS) that are relevant to health disparities. Topics addressed have included methods of follow-up of a large cohort of Black women, disparities in health-care delivery, modifiable risk factors for health conditions that disproportionately affect Black women, associations with exposures that are highly prevalent in Black women, and methods for genetic research. BWHS papers have also highlighted the importance of considering social context, including perceived experiences of racism, in understanding health disparities. In the future, BWHS investigators will contribute to documentation of the role that structural racism plays in health disparities.

Mid-trimester cervical length and prediction of vaginal birth after cesarean delivery in Chinese parturients: A retrospective study

BACKGROUND

A successful trial of labor after cesarean (TOLAC) is linked with the best maternal/neonatal outcomes and is more cost-effective than elective repeat cesarean section (ERCS). Predictive models of vaginal birth after cesarean (VBAC) have been established worldwide to improve the success rate of TOLAC.

OBJECTIVE

To validate a VBAC prediction model (the updated Grobman's predictive model without ethnicity) and identify whether mid-trimester cervical lengths (MCL) improve the prediction of VBAC among Chinese women undergoing a TOLAC.

METHODS

In this retrospective cohort study, the inclusion criteria were a previous history of cesarean delivery (CD) as well as a singleton gestation in the vertex position with routine CL measurements between 20 and 24 weeks and the experience of a TOLAC. MCL as well as identifiable characteristics in early prenatal care that have been used in updated Grobman's predictive model (maternal age, height, pre-pregnancy weight, vaginal delivery history, VBAC history, arrest disorder in previous CD, and treated chronic hypertension) were obtained from the medical records. Associations of maternal characteristics and MCL with VBAC were evaluated using multivariate logistic regression. Two multivariable regression models with and without MCL as one of the risk factors were established and their predictive accuracy for VBAC was critically compared based on receiver-operating characteristic (ROC) curves.

RESULTS

This study involved 409 women, among which, 347 (84.8%) achieved a VBAC. The mean MCL was significantly shorter in women who had a successful VBAC than in those who required an intrapartum CD (4.16±0.49 cm vs. 4.35±0.46 cm, P=0.007). Multivariable logistic regression revealed that a longer MCL (cm) was significantly related to a lower success rate of TOLAC [adjusted odds ratio (aOR), 0.48; 95% confidence interval (CI), 0.26-0.88]. The areas under the ROCs of Grobman's model with and without MCL as one of the risk factors were 0.785 (95% CI, 0.725-0.844) and 0.774 (95% CI, 0.710-0.837), respectively, but not significantly different (Z = -0.968, P = 0.333).

CONCLUSIONS

We first evaluated the efficiency of the updated Grobman's model (without race and ethnicity) in the Chinese population. The area under the curve is relatively high, indicating that the model can be used efficiently in China. The shorter MCL was associated with a greater chance of VBAC and MCL was the independent factor from the factors of Grobman's model. However, the predictive capacity of the modified model by adding MCL as one of the risk factors did not improve significantly.

Identifying Root Causes: Evaluation of a Program to Engage Youth in a Social Justice Approach to Tobacco Control

Movements designed to engage youth in tobacco control have been an important part of tobacco prevention for decades. Today, young people are increasingly diverse, and their primary issues of concern are gun control, racism, mental health, and climate change. To engage today's young people, tobacco control programs need to draw connections between youth's identities, top issues, and tobacco. UpRISE is a social justice youth tobacco control movement that engages diverse youth in identifying the root causes of youth nicotine use. In 2018-2019, 21 youth-serving organizations and schools hosted youth coalitions. Coalitions engaged in a six-session workbook called "Getting to the root cause," and adults were provided training and reflective supervision. Pre/post surveys with youth participants (n = 180) and end-of-year interviews with adult facilitators (n = 22) were used to assess outcomes. The primary outcomes were supportive adult relationships, youth voice in decision-making, anti-tobacco industry attitudes and beliefs, psychological empowerment, critical consciousness, and global belief in a just world. Quantitative measures of supportive adult relationships, youth voice in decision-making, psychological empowerment, and anti-tobacco industry attitudes and beliefs all increased significantly over time (p < .0001, p < .0001, p < .0001, p = .0034, respectively). Critical consciousness and global belief in a just world did not change significantly. During interviews, adults reported learning how: to engage in youth-adult partnerships, the tobacco industry abused its power, to engage in critical reflection about power. Adults also felt empowered. UpRISE may be a promising approach to increase racially diverse youth's engagement in social justice-oriented tobacco control efforts that advance equity.

Representation of dark skin tones in foundational nursing textbooks: An image analysis

PURPOSE

This study aimed to analyze and quantify the representation of dark skin tones (DST) images/graphics across fifteen foundational and clinical nursing textbooks to understand the degree of portrayed diversity in current nursing texts.

BACKGROUND

The United States (U.S.) population is becoming more ethnically and racially diverse. There is a scarcity of nursing literature, studies, and educational materials on the assessment and early recognition of common skin assessment in patients with dark skin tones (DST). The underrepresentation of people with DST images in didactic material suggests that omissions of these images in educational resources may introduce bias in health care provider education and practice.

METHODS

Fifteen popular foundational and clinical nursing textbooks were selected and analyzed. All the photo images and drawn graphics in these textbooks were coded according to Fitzpatrick's skin phototype (FSP) scale, which categorizes skin tone as (a) "Light" or Fitzpatrick scale I or II, (b) "Medium" or Fitzpatrick scale III or IV, and (c) "Dark" or Fitzpatrick scale V or VI. The training was provided for data collectors before analysis to ascertain good inter-rater reliability (Cohen's kappa = 0.960 for light skin tone, Cohen's kappa = 0.899 for medium skin tone, and Cohen's kappa = 0.913 for dark skin tone).

RESULTS

Analysis of 14,192 photo images and drawn graphics depicting skin tone was completed across 15 foundational and clinical nursing textbooks. 12.3 % of photo images and 2.4 % of drawn graphics depicted dark skin tones, compared to 60.9 % of photo images and 82.8 % of drawn graphics that displayed light skin tones in these textbooks.

CONCLUSIONS

Nursing textbooks overrepresent light skin tones and underrepresent dark skin tones. While the approximate racial distribution of the U.S. population is 59.3 % non-Hispanic-White, 13.6 % Black/African American, and 26.6 % Person of Color, the images and graphics of skin tones represented 68 % light, 15 % medium, and 9.4 % dark.

RELEVANCE TO CLINICAL PRACTICE

All healthcare providers are expected and required to deliver competent clinical care to an increasingly diverse population. For teaching-learning, more visual representations of DST and comparative images between what to expect in dark, medium, and light skin tones can help improve knowledge deficits and increase health equity.