Lower carotid revascularization rates after stroke in racial/ethnic minority-serving US hospitals

Provider care segregation and hospital-region racial disparities for carotid interventions in the USA

BACKGROUND

Reasons for racial disparities in the utilization and outcomes of carotid interventions (carotid endarterectomy (CEA) and carotid artery stenting (CAS)) are not well understood, especially segregation of care associated with carotid intervention. We examined patterns of geographic and provider care segregation in carotid interventions and outcomes.

METHOD

We used de-identified Medicare datasets to identify CEA and CAS interventions between January 1, 2016 and December 31, 2019 using validated ICD-10 codes. For patients who underwent carotid intervention, we calculated (1) the proportion of White patients at the hospital, (2) the proportional difference in the proportion of White patients between hospital patients and the county, and (3) provider care segregation by the dissimilarity index for carotid intervention cases. We examined associations between measures of segregation and outcomes.

RESULTS

Despite higher proportions of Black patients in counties with hospitals that provide carotid intervention, lower proportions of Black patients received intervention. The difference in the proportion of White patients comparing CEA patients to the county race distribution was 0.143 (SD 0.297) at the hospital level (for CAS, 0.174 (0.315)). The dissimilarity index for CEA providers was high, with mean (SD) 0.387 (0.274) averaged across all hospitals and higher among CAS providers at 0.472 (0.288). Black patients receiving CEA and CAS (compared with Whites) had reduced odds of discharge home. Better outcomes (inpatient mortality and 30-day mortality) were independently associated with higher proportion of White CAS patients.

CONCLUSION

In this national study with contemporary data on carotid intervention, we found evidence for segregation of care of both CEA and CAS.

Non-White Patients Have a Higher Risk of Stroke Following Transcarotid Artery Revascularization

INTRODUCTION

Carotid artery revascularization has traditionally been performed by either a carotid endarterectomy or carotid artery stent. Large data analysis has suggested there are differences in perioperative outcomes with regards to race, with non-White patients (NWP) having worse outcomes of stroke, restenosis and return to the operating room (RTOR). The introduction of transcarotid artery revascularization (TCAR) has started to shift the paradigm of carotid disease treatment. However, to date, there have been no studies assessing the difference in postoperative outcomes after TCAR between racial groups.

METHODS

All patients from 2016 to 2021 in the Vascular Quality Initiative who underwent TCAR were included in our analysis. Patients were split into two groups based on race: individuals who identified as White and a second group that comprised all other races. Demographic and clinical variables were compared using Student's t-Test and chi-square test of independence. Logistic regression analysis was performed to determine the impact of race on perioperative outcomes of stroke, myocardial infarction (MI), death, restenosis, RTOR, and transient ischemic attack (TIA).

RESULTS

The cohort consisted of 22,609 patients: 20,424 (90.3%) White patients and 2185 (9.7%) NWP. After adjusting for sex, diabetes, hypertension, coronary artery disease, history of prior stroke or TIA, symptomatic status, and high-risk criteria at time of TCAR, there was a significant difference in postoperative stroke, with 63% increased risk in NWP (odds ratio = 1.63, 95% confidence interval: 1.11-2.40, P = 0.014). However, we found no significant difference in the odds of MI, death, postoperative TIA, restenosis, or RTOR when comparing NWP to White patients.

CONCLUSIONS

This study demonstrates that NWP have increased risk of stroke but similar outcomes of death, MI, RTOR and restenosis following TCAR. Future studies are needed to elucidate and address the underlying causes of racial disparity in carotid revascularization.

Racial and ethnic influences on carotid atherosclerosis: Epidemiology and risk factors

Carotid atherosclerosis-related stenosis, marked by atherosclerotic plaque formation in the carotid artery, significantly increases ischemic stroke risk. Its prevalence varies across ethnic groups, reflecting racial disparities. Epidemiological studies have highlighted different susceptibilities to carotid stenosis among racial groups. Native Americans and Whites show greater vulnerability, indicating genetic and environmental influences. The impact of carotid stenosis is more severe in Hispanic and Black populations, with a higher incidence of related brain injuries, underscoring the need for targeted interventions. Comparative imaging studies between Chinese and White individuals reveal unique patterns of carotid stenosis, enhancing understanding of its pathophysiology and management across ethnicities. This review also categorizes risk factors, distinguishing those with racial disparity (such as genetic loci, sleep apnea, and emotional factors, socioeconomic status) from those without. In summary, racial disparities affect carotid stenosis, leading to varying susceptibilities and outcomes among ethnic groups. Recognizing these differences is essential for developing effective prevention, diagnosis, and management strategies. Addressing these disparities is critical to reducing ischemic stroke's burden across populations. Continued research and targeted interventions are crucial to improve outcomes for individuals at risk of carotid stenosis and its complications.

Systematic review and meta-analysis to assess the racial disparities in the outcomes of carotid endarterectomy in the United States

OBJECTIVE

Race-based disparities in health care have been related to a myriad of prevailing factors among minorities in the United States. This study aims to study the race-based differences in the outcomes of carotid endarterectomy (CEA).

METHODS

The PROSPERO database registered the review protocol (CRD42023428253). A systematic English literature review was performed using literature databases PubMed and Scopus from inception till June 2023. The review was designed on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and included studies reporting mortality, stroke, or composite outcome of mortality and stroke after CEA for carotid artery disease, regardless of any degree of stenosis including both symptomatic and asymptomatic patients. The risk of bias was evaluated utilizing the Risk of Bias in Non-randomized Studies - of Interventions (ROBINS-I) tool. A pooled odds ratio (OR) for the overall mortality was computed, and a P value of < .05 was designated as statistically significant. Interstudy heterogeneity was evaluated by Q-metric and quantified using Higgins I2 statistics.

RESULTS

Twelve studies were identified which included a total of 574,055 patients who underwent CEA from 1998 to 2022. Eleven of 12 studies reported 30-day mortality as an outcome for patients undergoing CEA in which 524,708 patients (92.5%) were White and 42,797 (7.5%) were non-White. The overall pooled OR indicated a statistical significance in 30-day mortality between White and non-White patients undergoing CEA (OR, 1.73; 95% confidence interval [CI], 1.37-2.18; P = .011) with substantial heterogeneity (I2 = 56.3%). Eleven of 12 studies reported stroke as an outcome for patients undergoing CEA in which 524,708 patients (92.5%) were White and 42,801 (7.5%) were non-White. The overall pooled OR indicated no statistical significance in stroke between White and non-White patients undergoing CEA (OR, 1.46; 95% CI, 1.28-1.65; P = .111) with moderate heterogeneity (I2 = 35.9%). Five of 12 studies reported composite mortality or stroke as an outcome for patients undergoing CEA. The overall pooled OR indicated no statistical significance in composite mortality or stroke between White and non-White patients undergoing CEA (OR, 1.40; 95% CI, 1.24-1.59; P = .467) with no heterogeneity (I2 = 0.0%).

CONCLUSIONS

Non-White patients have a relatively higher risk of mortality; however, no significant difference was observed between the racial groups in terms of stroke or a composite outcome of mortality or stroke. The odds of mortality in non-White patients have been persistent throughout recent studies.

StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

Determining acute ischemic stroke (AIS) etiology is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification tool, StrokeClassifier, using electronic health record (EHR) text from 2039 non-cryptogenic AIS patients at 2 academic hospitals to predict the 4-level outcome of stroke etiology adjudicated by agreement of at least 2 board-certified vascular neurologists' review of the EHR. StrokeClassifier is an ensemble consensus meta-model of 9 machine learning classifiers applied to features extracted from discharge summary texts by natural language processing. StrokeClassifier was externally validated in 406 discharge summaries from the MIMIC-III dataset reviewed by a vascular neurologist to ascertain stroke etiology. Compared with vascular neurologists' diagnoses, StrokeClassifier achieved the mean cross-validated accuracy of 0.74 and weighted F1 of 0.74 for multi-class classification. In MIMIC-III, its accuracy and weighted F1 were 0.70 and 0.71, respectively. In binary classification, the two metrics ranged from 0.77 to 0.96. The top 5 features contributing to stroke etiology prediction were atrial fibrillation, age, middle cerebral artery occlusion, internal carotid artery occlusion, and frontal stroke location. We designed a certainty heuristic to grade the confidence of StrokeClassifier's diagnosis as non-cryptogenic by the degree of consensus among the 9 classifiers and applied it to 788 cryptogenic patients, reducing cryptogenic diagnoses from 25.2% to 7.2%. StrokeClassifier is a validated artificial intelligence tool that rivals the performance of vascular neurologists in classifying ischemic stroke etiology. With further training, StrokeClassifier may have downstream applications including its use as a clinical decision support system.

Disparities in early-stage lung cancer outcomes at minority-serving hospitals compared with nonminority serving hospitals

OBJECTIVES

Disparities in cancer care are omnipresent and originate from a multilevel set of barriers. Our objectives were to describe the likelihood of undergoing surgery for early-stage non-small cell lung cancer at minority-serving hospitals (MSHs), and evaluate the association of race/ethnicity with resection based on MSH status.

METHODS

A retrospective study using the National Cancer Database (2008-2016) was conducted including patients with clinical stage I non-small cell lung cancer. MSHs were defined as hospitals in the top decile of providing care to Hispanic or African American patients. The primary outcome evaluated was receipt of definitive surgery at MSHs vs non-MSHs. Outcomes related to race/ethnicity stratified by hospital type were also investigated.

RESULTS

A total of 142,580 patients were identified from 1192 hospitals (120 MSHs and 1072 non-MSHs). Most patients (85% [n = 121,240]) were non-Hispanic White, followed by African American (9% [n = 12,772]), and Hispanic (3%, [n= 3749]). MSHs cared for 7.4% (n = 10,491) of the patients included. In adjusted analyses, patients treated at MSHs were resected less often than those at non-MSHs (odds ratio, 0.87; 95% CI, 0.76-1.00; P = .0495). African American patients were less likely to receive surgery in the overall analysis (P < .01), and at MSHs specifically (P < .01), compared with non-Hispanic White patients. Hispanic patients had similar rates of resection in the overall analysis (P = .11); however, at MSHs, they underwent surgery more often compared with non-Hispanic White patients (P = .02). Resected patients at MSHs had similar overall survival (median, 91.7 months; 95% CI, 86.6-96.8 months) compared with those resected at non-MSHs (median, 85.7 months; 95% CI, 84.5-86.8 months).

CONCLUSIONS

Patients with early-stage non-small cell lung cancer underwent resection less often at MSHs compared with non-MSHs. Disparities related to underutilization of surgery for African American patients continue to persist, regardless of hospital type.

Disparities in use of physical restraints at an urban, minority-serving hospital emergency department

BACKGROUND

Recent reports have identified associations between patient race and ethnicity and use of physical restraint while receiving care in the emergency department (ED). However, no study has assessed this relationship in hospitals primarily treating patients of color and underserved populations. The primary objective of this study was to evaluate the association between race/ethnicity and the use of restraints in an ED population at a minority-serving, safety-net institution.

METHODS

For this cross-sectional study, chart review identified all adult patients presenting to the Boston Medical Center ED between January 2018 and April 2021. Generalized estimating equation logistic regression modeling was conducted to evaluate associations between race and use of restraints.

RESULTS

Of 348,384 ED visits (22.9% White, 46.7% Black, 23.1% Hispanic), 1852 (0.5%) had an associated physical restraint order. Multivariable models showed significant interactions (p = 0.02) between race/ethnicity, behavioral health diagnosis, and sex on the primary outcome of physical restraint. Stratified analysis revealed that among patients with no behavioral health diagnoses, Black (odds ratio [OR] 0.50, 95% confidence interval [CI] 0.34-0.72, p = 0.0003) and Hispanic (OR 0.35, 95% CI 0.20-0.63, p = 0.0004) patients had lower odds of restraint than White patients. Among female patients with a mental health and/or substance use disorder diagnosis, Black (OR 1.95, 95% CI 1.49-2.54, p < 0.0001) and Hispanic (OR 2.13, 95% CI 1.49-3.03, p < 0.0001) patients had higher odds of restraint than White patients. Similar trends were observed for Black male patients (OR 1.60, 95% CI 1.34-1.91, p < 0.0001) but not for Hispanic male patients (OR 0.96, 95% CI 0.73-1.26, p = 0.77) with behavioral health diagnoses who had similar odds of restraint to White patients. Additional factors associated with physical restraint include younger age, public or lack of insurance, and ED visits during the pandemic.

CONCLUSIONS

Racial disparities exist in restraint utilization at this minority-serving safety-net hospital; however, these disparities are modified by sex and by behavioral health diagnoses. The reasons for these disparities may be multifactorial and warrant further investigation.

StrokeClassifier: Ischemic Stroke Etiology Classification by Ensemble Consensus Modeling Using Electronic Health Records

Determining the etiology of an acute ischemic stroke (AIS) is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification machine intelligence tool, StrokeClassifier, using electronic health record (EHR) text data from 2,039 non-cryptogenic AIS patients at 2 academic hospitals to predict the 4-level outcome of stroke etiology determined by agreement of at least 2 board-certified vascular neurologists' review of the stroke hospitalization EHR. StrokeClassifier is an ensemble consensus meta-model of 9 machine learning classifiers applied to features extracted from discharge summary texts by natural language processing. StrokeClassifier was externally validated in 406 discharge summaries from the MIMIC-III dataset reviewed by a vascular neurologist to ascertain stroke etiology. Compared with stroke etiologies adjudicated by vascular neurologists, StrokeClassifier achieved the mean cross-validated accuracy of 0.74 (±0.01) and weighted F1 of 0.74 (±0.01). In the MIMIC-III cohort, the accuracy and weighted F1 of StrokeClassifier were 0.70 and 0.71, respectively. SHapley Additive exPlanation analysis elucidated that the top 5 features contributing to stroke etiology prediction were atrial fibrillation, age, middle cerebral artery occlusion, internal carotid artery occlusion, and frontal stroke location. We then designed a certainty heuristic to deem a StrokeClassifier diagnosis as confidently non-cryptogenic by the degree of consensus among the 9 classifiers, and applied it to 788 cryptogenic patients. This reduced the percentage of the cryptogenic strokes from 25.2% to 7.2% of all ischemic strokes. StrokeClassifier is a validated artificial intelligence tool that rivals the performance of vascular neurologists in classifying ischemic stroke etiology for individual patients. With further training, StrokeClassifier may have downstream applications including its use as a clinical decision support system.

The geography of Medicare's hospital value-based purchasing in relation to market demographics

OBJECTIVE

To illustrate the association between the sociodemographic characteristics of hospital markets and the geographic patterns of Medicare hospital value-based purchasing (HVBP) scores.

DATA SOURCES AND STUDY SETTING

This is a secondary analysis of United States hospitals with a HVBP Total Performance Score (TPS) for 2019 in the Centers for Medicare and Medicaid Services (CMS) Hospital Compare database (4/2021 release) and American Community Survey (ACS) data for 2015-2019.

STUDY DESIGN

This is a cross-sectional study using spatial multivariable autoregressive models with HVBP TPS and component domain scores as dependent variables and hospital market demographics as the independent variables.

DATA COLLECTION/EXTRACTION METHODS

We calculated hospital market demographics using ZIP code level data from the ACS, weighted the 2019 CMS inpatient Hospital Service Area file.

PRINCIPAL FINDINGS

Spatial autoregressive models using eight nearest neighbors with diversity index, race and ethnicity distribution, families in poverty, unemployment, and lack of health insurance among residents ages 19-64 years provided the best model fit. Diversity index had the highest statistically significant contribution to lower TPS (ß = -12.79, p < 0.0001), followed by the percent of the population coded to "non-Hispanic, some other race" (ß = -2.59, p < 0.0023), and the percent of families in poverty (ß = -0.26, p < 0.0001). Percent of the population was non-Hispanic American Indian/Alaskan Native (ß = 0.35, p < 0.0001) and percent non-Hispanic Asian (ß = 0.12, p < 0.02071) were associated with higher TPS. Lower predicted TPS was observed in large urban cities throughout the US as well as in states throughout the Southeastern US. Similar geographic patterns were observed for the predicted Patient Safety, Person and Community Engagement, and Efficiency and Cost Reduction domain scores but are not for predicted Clinical Outcomes scores.

CONCLUSIONS

The lower predicted scores seen in cities and in the Southeastern region potentially reflect an inherent-that is, structural-association between market sociodemographics and HVBP scores.

Disparities in NCCN Guideline-Compliant Care for Patients with Early-Stage Pancreatic Adenocarcinoma at Minority-Serving versus Non-Minority-Serving Hospitals

BACKGROUND

Racial/ethnic disparities in pancreatic adenocarcinoma (PDAC) outcomes may relate to receipt of National Comprehensive Cancer Network (NCCN) guideline-compliant care. We assessed the association between treatment at minority-serving hospitals (MSH) and receipt of NCCN-compliant care.

PATIENTS AND METHODS

Patients who underwent resection of early-stage PDAC between 2006 and 2019 were identified from the National Cancer Database (NCDB). MSH was defined as the top decile of facilities treating minority ethnicities (Black and/or Hispanic). Factors associated with receipt of NCCN-compliant care and its impact on overall survival (OS) were assessed.

RESULTS

Among 44,873 patients who underwent resection of PDAC, most were treated at non-MSH (n = 42,571, 94.9%), while a smaller subset were treated at MSH (n = 2302, 5.1%). Patients treated at MSH were more likely to be at a younger median age (MSH 66 years versus non-MSH 67 years), Black or Hispanic (MSH 58.4% versus non-MSH 12.0%), and not insured (MSH 7.8% versus non-MSH 1.6%). While 71.7% (n = 31,182) of patients were compliant with NCCN care, guideline-compliant care was lower at MSH (MSH 62.5% versus non-MSH 72.2%). On multivariable analysis, receiving care at MSH was associated with not receiving guideline-compliant care [odds ratio (OR) 0.63, 95% confidence interval (CI) 0.53-0.74]. At non-MSH, non-white patients had lower odds of receiving guideline-compliant PDCA care (OR 0.85, 95% CI 0.78-0.91). Failure to comply was associated with worse overall survival (OS) [hazard ratio (HR) 1.50, 95% CI 1.46-1.54, all p < 0.001].

CONCLUSIONS

Patients with PDAC treated at MSH and minorities treated at non-MSH were less likely to receive NCCN-compliant care. Failure to comply with guideline-based PDAC treatment was associated with worse OS.

A Conceptual Framework for Optimizing the Equity of Hospital-Based Emergency Care: The Structure of Hospital Transfer Networks

Policy Points Current pay-for-performance and other payment policies ignore hospital transfers for emergency conditions, which may exacerbate disparities. No conceptual framework currently exists that offers a patient-centered, population-based perspective for the structure of hospital transfer networks. The hospital transfer network equity-quality framework highlights the external and internal factors that determine the structure of hospital transfer networks, including structural inequity and racism.

CONTEXT

Emergency care includes two key components: initial stabilization and transfer to a higher level of care. Significant work has focused on ensuring that local facilities can stabilize patients. However, less is understood about transfers for definitive care. To better understand how transfer network structure impacts population health and equity in emergency care, we proposea conceptual framework, the hospital transfer network equity-quality model (NET-EQUITY). NET-EQUITY can help optimize population outcomes, decrease disparities, and enhance planning by supporting a framework for understanding emergency department transfers.

METHODS

To develop the NET-EQUITY framework, we synthesized work on health systems and quality of health care (Donabedian, the Institute of Medicine, Ferlie, and Shortell) and the research framework of the National Institute on Minority Health and Health Disparities with legal and empirical research.

FINDINGS

The central thesis of our framework is that the structure of hospital transfer networks influences patient outcomes, as defined by the Institute of Medicine, which includes equity. The structure of hospital transfer networks is shaped by internal and external factors. The four main external factors are the regulatory, economic environment, provider, and sociocultural and physical/built environment. These environments all implicate issues of equity that are important to understand to foster an equitable population-based system of emergency care. The framework highlights external and internal factors that determine the structure of hospital transfer networks, including structural racism and inequity.

CONCLUSIONS

The NET-EQUITY framework provides a patient-centered, equity-focused framework for understanding the health of populations and how the structure of hospital transfer networks can influence the quality of care that patients receive.

Health Equity and Actionable Disparities in Stroke: 2021 Update

There are stark inequities in stroke incidence, prevalence, acute care, rehabilitation, risk factor control, and outcomes. To address these inequities, it is critical to engage communities in identifying priorities and designing, implementing, and disseminating interventions. This issue of Stroke features health equity themed lectures delivered during the International Stroke Conference and Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving meetings in 2021 as well as articles covering issues of disparities and diversity in stroke. Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, received the 2021 William Feinberg Award Lecture for his lifetime achievements in seeking global and local solutions to cerebrovascular health inequities. The second annual Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving symposium, which took place the day before the International Stroke Conference in February 2021, focused on community-engaged research for reducing inequities in stroke. Phil Gorelick, MD was awarded the Edgar J. Kenton III Award for his lifetime achievements in using community engagement strategies to recruit and retain Black participants in observational studies and clinical trials. Walter Koroshetz, MD, Director of the National Institute of Neurological Disorders and Stroke delivered the keynote lecture on stroke inequities and Richard Benson, MD, PhD, Director of the Office of Global Health and Health Disparities at National Institute of Neurological Disorders and Stroke, gave a lecture focused on National Institute of Neurological Disorders and Stroke efforts to address inequities. Nichols et al highlighted approaches of community-based participatory research to address stroke inequities. Verma et al showcased digital health innovations to reduce inequities in stroke. Das et al showed that the proportion of underrepresented in medicine vascular neurology fellows has lowered over the past decade and authors provided a road map for enhancing the diversity in vascular neurology. Clearly, to overcome inequities, multipronged strategies are required, from broadening representation among vascular neurology faculty to partnering with communities to conduct research with meaningful impact.

Disparities in the Surgical Treatment of Cerebrovascular Pathologies: A Contemporary Systematic Review

INTRODUCTION

This systematic review analyzes contemporary literature on racial/ethnic, insurance, and socioeconomic disparities within cerebrovascular surgery in the United States to determine areas for improvement.

METHODS

We conducted an electronic database search of literature published between January 1990 and July 2020 using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for studies analyzing a racial/ethnic, insurance, or socioeconomic disparity within adult cerebrovascular surgery.

RESULTS

Of 2873 articles screened for eligibility by title and abstract, 970 underwent full-text independent review by 3 authors. Twenty-seven additional articles were identified through references to generate a final list of 47 included studies for analysis. Forty-six were retrospective reviews and 1 was a prospective observational cohort study, thereby comprising Levels III and IV of evidence. Studies investigated carotid artery stenting (11/47, 23%), carotid endarterectomy (22/47, 46.8%), mechanical thrombectomy (8/47, 17%), and endovascular aneurysm coiling or surgical aneurysm clipping (20/47, 42.6%). Minority and underinsured patients were less likely to receive surgical treatment. Non-White patients were more likely to experience a postoperative complication, although this significance was lost in some studies using multivariate analyses to account for complication risk factors. White and privately insured patients generally experienced shorter length of hospital stay, had lower rates of in-hospital mortality, and underwent routine discharge. Twenty-five papers (53%) reported no disparities within at least one examined metric.

CONCLUSIONS

This comprehensive contemporary systematic review demonstrates the existence of disparity gaps within the field of adult cerebrovascular surgery. It highlights the importance of continued investigation into sources of disparity and efforts to promote equity within the field.

Healthcare disparities in vascular surgery: A critical review

Health disparities in vascular surgical care have existed for decades. Persons categorized as Black undergo a nearly twofold greater risk-adjusted rate of leg amputations. Persons categorized as Black, Latinx, and women have hemodialysis initiated via autogenous fistula less often than male persons categorized as White. Persons categorized as Black, Latino, Latina, or Latinx, and women are less likely to undergo carotid endarterectomy for symptomatic carotid stenosis and repair of abdominal aortic aneurysms. New approaches are needed to address these disparities. We suggest surgeons use data to identify groups that would most benefit from medical care and then partner with community organizations or individuals to create lasting health benefits. Surgeons alone cannot rectify the structural inequalities present in American society. However, all surgeons should contribute to ensuring that all people have access to high-quality vascular surgical care.

Racial Disparities in Treatment for Rectal Cancer at Minority-Serving Hospitals

BACKGROUND

Racial disparities exist in patients with rectal cancer with respect to both treatment and survival. Minority-serving hospitals (MSHs) provide healthcare to a disproportionately large percent of minority patients in the USA. We examined the effects of rectal cancer treatment at MSH to understand drivers of these disparities.

METHODS

The NCDB was queried (2004-2015), and patients diagnosed with stage II or III rectal adenocarcinoma were identified. Racial case mix distribution was calculated at the institutional level, and MSHs were defined as those within the top decile of Black and Hispanic patients. Logistic regression was used to identify predictors of receipt of standard of care treatment. Survival was assessed using the Kaplan-Meier method, and Cox proportional hazards models were used to evaluate adjusted risk of death. Analyses were clustered by facility.

RESULTS

A total of 68,842 patients met the inclusion criteria. Of these patients, 63,242 (91.9%) were treated at non-MSH, and 5600 (8.1%) were treated at MSH. In multivariable analysis, treatment at MSH (OR 0.70 95%CI 0.61-0.80 p < 0.001) and Black race (OR 0.75 95%CI 0.70-0.81 p < 0.001) were associated with significantly lower odds of receiving standard of care. In adjusted analysis, Black patients had a significantly higher risk of mortality (HR 1.20 95%CI 1.14-1.26 p < 0.001).

CONCLUSIONS

Treatment at MSH institutions and Black race were associated with significantly decreased odds of receipt of recommended standard therapy for locally advanced rectal adenocarcinoma. Survival was worse for Black patients compared to White patients despite adjustment for receipt of standard of care.

Epidemiology of atherosclerotic carotid artery disease

Atherosclerotic carotid artery disease is a significant cause of stroke in the United States and globally. Its prevalence increases with age and it is more prevalent in men and White and Native-American populations. However, the outcomes related to carotid disease are worse in women and Black patients. Research suggests the disparities exist due to a multitude of factors, including disease pathophysiology, access to care, provider bias, and socioeconomic status. The prevalence of carotid stenosis in the general population is low (3%), and routine screening for carotid stenosis is not recommended in adults. Randomized clinical trials have shown benefits of stroke risk reduction with surgery (carotid endarterectomy or stenting) for symptomatic patients. Management is controversial in asymptomatic patients, as modern medical management has results equivalent to those of surgery and ongoing randomized clinical trials will address this important question. Carotid surgery is not appropriate in asymptomatic patients with limited life expectancy. Future work should explore comprehensive care models for care of patients with carotid disease and assessment of patient-reported outcomes to measure quality of care.

Inaugural Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving Symposium

Race/ethnic minorities face significant inequities in stroke incidence, prevalence, care, and outcomes. The Health Equity and Actionable Disparities in Stroke: Understanding and Problem-solving symposium, a collaborative initiative of the American Heart Association and National Institute of Neurological Disorders and Stroke, was the first-ever annual multidisciplinary scientific forum focused on race/ethnic inequities in cerebrovascular disease, with the overarching goal of reducing inequities in stroke and accelerating the translation of research findings to improve outcomes for race/ethnic minorities. The symposium featured esteemed invited plenary speakers, lecturing on determinants of race/ethnic inequities in stroke and interventions aimed at redressing the inequities. The Edgar J. Kenton III Award recognized Ralph Sacco, MD, MS, for his lifetime contributions to investigation, management, mentorship, and community service in the field of stroke inequities. Early career investigators were provided with travel awards to attend the symposium; presented their research at moderated poster and Think Tank sessions; received career development advice at the Building Momentum session; and networked with experienced stroke inequities researchers. Future conferences-The Health Equity and Actionable Disparities in Stroke: Understanding and Problem-solving 2021 to 2024-will broaden the focus to include 5 major persistent inequities (race/ethnic, sex, geographic, socioeconomic, and global). Each year will focus on a different theme (community and stakeholder engagement; clinical trials; implementation science; and policy and dissemination). By fostering a community of stroke inequities researchers, we hope to highlight promising work, illuminate research gaps, facilitate networking, inform policy makers, recognize achievement, inspire greater interest among junior investigators to pursue careers in this field, and provide networking opportunities for underrepresented minority scientists.

HEADS-UP: Understanding and Problem-Solving: Seeking Hands-Down Solutions to Major Inequities in Stroke

There are substantial and longstanding inequities in stroke incidence, prevalence, care, and outcomes. The Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving (HEADS-UP) symposium is an annual multidisciplinary scientific and educational forum targeting major inequities in cerebrovascular disease, with the ultimate objective of helping to bridge major inequities in stroke, and promptly translating scientific results into routine clinical practice, for the benefit of vulnerable and underserved populations. HEADS-UP is a collaborative undertaking by the National Institute of Neurological Disorders and Stroke and the American Stroke Association and is held the day before the annual International Stroke Conference. In 2020, the HEADS-UP focused on the topic of racial/ethnic disparities in stroke and comprised invited lectures on determinants of racial/ethnic inequities in stroke as well as emerging interventions or promising strategies designed to overcome these inequities. Competitively selected travel award scholarships were given to 19 early stage investigators who presented posters at professor moderated sessions; engaged in several career development activities aimed imparting grant writing skills, knowledge about climbing the academic ladder, and striving for work-life balance; and participated in networking events. This Health Equity edition of Focused Updates will feature an overview of the HEADS-UP 2020 symposium proceedings and articles covering the key scientific content of the major lectures delivered during the symposium including the presentation by the award-winning plenary speaker. Starting in 2021, HEADS-UP will expand to include 5 major inequities in stroke (racial/ethnic, sex, geographic, socioeconomic, and global) and seeks to be a viable avenue to meet the health equity goals of the American Heart Association/American Stroke Association, National Institutes of Neurological Disorders and Stroke, and World Stroke Organization.