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Graphical Abstract

Abstract

Background and Purpose:

Despite a higher incidence of stroke and a more adverse cardiovascular risk factor profile in Blacks and Hispanics compared with Whites, carotid artery revascularization is performed less frequently among these subpopulations. We assessed racial differences in high-grade (≥70% diameter-reducing) carotid stenosis.

Methods:

Consecutive clients in a Nationwide Life Line for-Profit Service to screen for vascular disease, 2005 to 2019 were evaluated in a cross-sectional study. The prevalence of high-grade stenosis, defined by a carotid ultrasound peak systolic velocity of ≥230 cm/s, was assessed. Participants self-identified as White, Black, Hispanic, Asian, Native American, or other. Race/ethnic differences were assessed using Poisson regression. The number of individuals in the United States with high-grade stenosis was estimated by applying prevalence estimates to 2015 US Census population estimates.

Results:

The prevalence of high-grade carotid stenosis was estimated in 6 130 481 individuals. The prevalence of high-grade stenosis was higher with increasing age in all race-sex strata. Generally, Blacks and Hispanics had a lower prevalence of high-grade stenosis compared with Whites, while Native Americans had a higher prevalence. For example, for men aged 55 to 65, the relative risk of stenosis compared with Whites was 0.40 (95% CI, 0.29–0.55) and 0.61 (95% CI, 0.46–0.81) for Blacks and Hispanics, respectively; and 1.53 (95% CI, 1.12–2.10) for Native Americans. When these prevalence estimates were applied to the Census estimates of the US population, an estimated 327 721 individuals have high-grade stenosis, of whom 7% are Black, 7% Hispanic, and 43% women.

Conclusions:

Despite their having a more adverse cardiovascular risk profile, there was a lower prevalence of high-grade carotid artery stenosis for both the Black and Hispanic relative to the White clients. This lower prevalence of high-grade stenosis is a potential contributor to the lower use of carotid revascularization procedures in these minority populations.

Introduction

Data from professional societies in the United States1,2 and from the Centers for Medicare and Medicaid Services3 reflect that over 90% of carotid revascularizations for extracranial carotid stenosis (either carotid endarterectomy or carotid artery stenting) are performed in the White populations, 4% in Black populations, 4% in Hispanic populations, and the remainder in other racial groups. This racial/ethnic distribution of patients undergoing revascularization stands in stark contrast to the racial distribution of the general population. Among those in the age group most often affected by carotid stenosis (55 years of age and older), Whites represented 78.0%, Blacks 9.5%, Hispanics 7.8%, and other races 4.6% of the general population in 2010.4 The relative dearth of carotid revascularizations in minority populations, particularly among Blacks, has been long-recognized,5–7 and exists in the context of a greater burden of stroke8 and a widely recognized more adverse cardiovascular risk profile9 in minority populations. Despite a policy commitment by the National Institutes of Health (NIH) and the allocation of resources to address minority recruitment by the NIH,10 the fewer revascularizations in Black and other minority populations is reflected in their lower recruitment to the NIH-funded clinical trials.11
It is tempting to attribute the lower rates of revascularization in minority groups to a disparity in access to care,7 with racial/ethnic differences in revascularizations persisting after adjustment for patient and hospital characteristics in some,6,12 but not all,5,13 reports. Lower rates of revascularization in minority populations persist in the Veterans Health Administration System, where access to care should not be an issue.13 In addition, the Black population has been shown to be more risk-averse to the surgical management of carotid disease.7 However, an alternate explanation may be that despite a higher incidence of stroke in the Black population,14 they may have a lower prevalence of high-grade cervical carotid stenosis warranting consideration for revascularization than their White counterparts.
The best approach to determine the prevalence of asymptomatic carotid stenosis while avoiding a clinical referral bias is to assess race/ethnic differences in high-grade carotid stenosis in the general population. Extremely large samples would be required to assess differences among subgroups (such as race groups) given that only 1% to 2% of the general population might have high-grade (≥70%) stenosis.15,16 Life Line Screening (LLS, Independence, OH) is a direct-to-consumer company identifying adults at risk for vascular disease. While American Heart Association and United States Preventive Services Taskforce recommendations do not support the carotid screening of the general population,17 individuals have the ability to self-pay for such an assessment that they personally consider important. Since 2005 LLS has performed carotid duplex ultrasound assessments on >6 million clients across 49 states in the United States. The purpose of this study was to determine the race/ethnic-specific prevalence of high-grade carotid stenosis using these unique data from LLS.

Methods

The authors declare that all supporting data are available within the article. The study was reviewed and approved by the Central Institutional Review Board of the University of Cincinnati and waived the need for patient consent. Screening assessments conducted between 2005 and 2019 (inclusive) were used for this report. Clients of the LLS service were self-referred and self-paid. Demographic (age, sex, and race/ethnicity), clinical, and self-reported comorbidity information (hypertension, diabetes, dyslipidemia, and smoking) was recorded. Participants self-identified as White, Black, Hispanic, Asian, Native American, or other races. Ultrasound testing was performed by trained and certified vascular ultrasound technologists using a standardized protocol.18,19 Quality control mechanisms included random and planned audits by sonographers and physicians, monthly reviews, and an annual assessment of competencies. Ultrasound quality control measures did not include comparisons with a gold standard, such as catheter angiography. A participant was considered to have a high-grade stenosis if the peak systolic velocity in either carotid artery was ≥230 cm/s.20 If bilateral high-grade stenosis was identified, the artery with the highest peak systolic velocity was included in the analysis.
The cohort was then stratified by race/ethnicity (White, Black, Hispanic, Asian, Native American, or other), sex (men or women), and age (45–54, 55–64, 65–74, or 75–84 years), resulting in 48 strata. In an abundance of caution, those aged 85 and above were excluded because of the relatively small sample size and a greater potential of being nonrepresentative in this oldest-old strata. For each stratum, the proportion of the population (with 95% CI) for the prevalence of high-grade stenosis was calculated. Poisson regression was used to estimate the prevalence ratio (with 95% CI) for high-grade stenosis for race/ethnicity (relative to a White reference) within strata defined by age and sex. A sensitivity analysis was also performed assessing the impact of risk factor adjustment on the prevalence ratio. The number of individuals in the United States with high-grade stenosis was then predicted as the product of the prevalence estimates from LLS multiplied by the 2015 population estimates from the Census Bureau.4 The proportion of this cohort with prevalent high-grade stenosis was then tabulated by race and sex. Analyses were conducted using SAS version 9.4 (SAS Institute Inc, Cary, NC). Statistical tests used a 2-sided α of 0.05. No adjustments were made for multiple comparisons.

Results

Study Population

Of the 10 464 670 unique visits over a 15-year period, ultrasound measurement of the peak systolic velocity was available for 10 208 978 (98%). These visits were conducted in 6 926 996 participants, and analysis was restricted to the first visit from each participant. Participants with missing information on race (171 435 or 2%), sex (135 491 or 2%), or age (129 151 or 2%) were excluded. Those aged 85 years and over were also excluded from the analysis (360 438 or 5%), resulting in an analysis data set of 6 130 481 (89%) individuals. Of the 6 130 481 unique participants, 86% were White, 4% were Black, 4% were Hispanic, were 2% were Asian, 2% were Native American, and 2% were other races (Table 1). The mean age of participants was 63.8±9.0 years. Substantial data were available from all 4 US census regions. Women comprised 63.2% of all participants and formed the majority in all race/ethnic groups.
Table 1. Description of Study Population
VariableAllRace/ethnicity
WhiteBlackHispanicAsianNative AmericanOther
N6 130 4815 282 932271 182215 007108 835103 763148 762
Age, y (100%)Mean±SD63.8±9.064.0±9.062.7±8.860.5±8.561.4±8.767.6±9.863.6±9.3
% Age strata45–5417.316.719.627.524.411.618.8
55–6436.836.540.042.341.226.436.7
65–7431.732.329.423.125.933.329.8
75–8414.114.411.17.08.428.614.6
% Census region (100%)Northeast14.414.614.19.811.916.717.6
Midwest27.228.917.89.412.728.520.6
South37.836.956.942.028.841.735.1
West20.519.711.138.846.713.026.6
% Female (100%)*62.361.767.965.862.867.663.8
% Hypertension (97%)*44.543.661.742.345.349.844.3
% Diabetes (96%)*11.910.921.317.417.615.214.8
% Dyslipidemia (97%)*49.349.648.847.248.949.245.5
% Smoking (48%)*22.123.016.415.313.127.917.6
*
Number in parenthesis beside the variable name indicates the percent of the population with available data.
The LLS cohort appears generally comparable to the general US population as suggested by the similarities by race in the prevalence of major cardiovascular risk factors (Table 1). For example, 61.7% of Blacks and 43.6% of Whites reported hypertension, similar to the hypertension prevalence estimates from the general population in the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) of 71% and 51%.21 The Black-to-White prevalence ratio for hypertension was 61.7/43.6=1.42, while in REGARDS, it was 71/51=1.39. Likewise, the prevalence of diabetes among Blacks and Whites was 21.3% and 10.9%, respectively (Black-to-White prevalence ratio =1.95), again generally similar to the 31% and 16% prevalence observed in REGARDS, respectively (ratio=1.94).21 Unfortunately, smoking is missing on the majority (52%) of the respondents (data on smoking was only systematically collected by LLS for the period of May 2011 through March 2018). Given this limitation, the prevalence of smoking was also similar for Blacks in the LLS and REGARDS (16.4% and 17%), although more White participants in LLS smoked than in the REGARDS (23.0% and 13.0%, respectively).21
In the context of the very large LLS sample size, all 2-way interactions between age, race, and sex were all significant for the 230 cm/s threshold, specifically Page-by-race<0.0001, Page-by-sex<0.0001, and Prace-sex=0.0155. Accordingly, all subsequent analyses were performed stratified by age, race, and sex.

Prevalence of High-Grade Carotid Stenosis

The prevalence of high-grade carotid stenosis was higher with increasing age across all race/ethnic populations and across men and women (Figure 1, with numerical estimates in Table I in the Data Supplement). White men had a peak prevalence in the 75- to 84-year age group (0.96% [95% CI, 0.92%–0.99%]), and White women had a peak prevalence in the same age group (0.58% [0.56%–0.60%]). Similarly, the highest prevalence among Black men and women was also in the 75- to 84-year age group (0.70% [0.54–0.89] and 0.62% [0.52–0.74], respectively).
Figure 1. Prevalence (and 95% CI) of high grade carotid stenosis. Percent of individuals with peak systolic velocity (PSV) greater than 230 cm/s shown for men (A) and women (B) stratified by age (in years) and race/ethnicity. Nat American indicates Native American; PSV, peak systolic velocity; and sec, second.
The prevalence of high-grade carotid stenosis was significantly lower for Blacks compared with Whites across all age groups and across men and women with the exception of women aged 75 to 84 and 45 to 54 years where risk was similar or not significantly lower (Figure 2, with numerical estimates in Table II in the Data Supplement). Hispanics also had a lower relative risk for stenosis compared with Whites, significantly so among 55- to 64-year-old men and 45- to 54-, 55- to 64-, and 65- to 74-year-old women. Compared with Whites, Asians also had significantly lower relative risk for stenosis for men in all age groups except 45 to 54, and in women for all age groups except 75 to 84. Native Americans had a higher relative risk of stenosis across all age groups compared with Whites, with a peak of 1.86 (95% CI, 1.46–2.39) in women aged 55 to 64.
Figure 2. Relative risk (and 95% CI) of high-grade carotid artery stenosis. Relative risk for men (A) and women (B) are shown stratified by age (in years) and race/ethnicity (compared with White as the reference). Nat American indicates Native American.
The sensitivity analysis adjusting for risk factors (hypertension, diabetes, dyslipidemia, and smoking) showed it had virtually no impact on the prevalence ratio for high-grade stenosis (Table III in the Data Supplement).

Estimated Number of Individualsith High-Grade Carotid Stenosis in the United States

The 2015 US Census provides information on the national population by age (10-year strata between 45 and 84 years of age), race/ethnicity, and sex (Table IV in the Data Supplement). From these Census data, it is estimated that 72% of the population is White, with Blacks and Hispanic comprising 11% each; and women comprising 52%. The number of individuals in the United States with high-grade stenosis was estimated as the product of age-race-sex specific Census population estimates with the observed LLS prevalence of high-grade stenosis (Table 2). With this approach, the total number of individuals with high-grade carotid stenosis in the United States is estimated to be 327 721, with Whites contributing 82% of the population with high-grade stenosis, and Blacks and Hispanics contributing 7% each. Asians contribute 3% and Native Americans contribute 1%, while women contribute 43% of the population with high-grade stenosis.
Table 2. Estimated Number of Individuals in the United States With High-Grade (Peak Systolic Velocity ≥230 cm/s) Carotid Artery Stenosis
US populationMenWomenRace/ethnic totalPct
45–5455–6465–7475–8445–5455–6465–7475–84
White11 28038 92758 49346 343996928 71440 04735 644269 41682%
Black506235342613192114525503871456722 4477%
Hispanic165133225255376264824353601291423 5887%
Asian6001500160714405475621349130589093%
Native American13359258043421358851230833611%
Sex total186 231141 490  
Percent57%43%  

Discussion

Using 15 years of data from a cohort of >6 million self-referred, self-paid adults in a national vascular screening service, we have estimated the prevalence of high-grade carotid artery stenosis in the United States by race, sex, and age category. For both men and women, we found Blacks (and Hispanics for half the age strata) had a significantly lower prevalence of high-grade stenosis than Whites. Using census data from 2015, we estimate that there are 327 721 individuals with high-grade carotid stenosis in the United States. These estimates of the prevalence of high-grade stenosis in the general population show that Whites contribute a higher proportion with high-grade stenosis relative to their representation in the general population (82% versus 72%, respectively), while Blacks, Hispanics, and Asians with high-grade stenosis contribute a smaller proportion (7%, 7%, and 3%, respectively) compared with their representation in the general population (11%, 11%, and 5%, respectively).
Our study is the first to address race/ethnic differences in the prevalence of high-grade stenosis in the general population. The previously reported 1% to 2% overall prevalence of high-grade stenosis indicates that immense sample sizes are needed to assess race/ethnic or sex differences, limiting previous investigations. For example, in a hypothetical cohort with 50% Black and 50% White representation, and a prevalence of 1.5% for Blacks, a study would require a sample size of 720 253 to achieve 90% power to detect a 10% higher odds of high-grade stenosis in Whites.22 Sample sizes would need to be ≈2.5× higher if the representation of Blacks were to reflect their 10% representation in the population.22 To our knowledge, only the LLS data set exceeds the required sample size. A subset of these data has been used previously to assess race/ethnic differences in carotid atherosclerosis.23 However, that report used Doppler velocity thresholds of ≥110 and ≥140 cm/s, both of which are far below the accepted standard of ≥230 cm/s associated with high-grade stenosis.20
Because the LLS cohort was self-referred, we were concerned that the Black and Hispanic populations in LLS were not representative of those populations in the United States. Differences in financial resources available for self-pay, LLS testing locations with low proportions of Blacks and Hispanics, and other barriers to testing could introduce bias. These concerns were somewhat mitigated in that both the prevalence of cardiovascular risk factors, and the Black-White differences in their prevalence, reflect those from studies where the population was chosen through random sampling of the US population. While no single study can be definitively representative of the national population, the Black-White prevalence ratios for major risk factors in the current analysis were quite similar to other published studies. Specifically, for hypertension, the Black-to-White prevalence ratio in LLS was 1.42, while in REGARDS, it was 1.39; and for diabetes the ratios were 1.95 versus 1.94. However, while there was a similar prevalence of smoking for Blacks in LLS and REGARDS (16.4% and 17%), there does appear to be a higher prevalence of smoking among White participants in LLS (23%) than in REGARDS (13.0%). We were also concerned that a more adverse risk factor profile would be observed in the self-referred LLS population (ie, a self-referred assessment of the worried sick). However, the prevalence of risk factors was marginally lower in the LLS cohort than observed in the general population in the REGARDS study, and adjustment for risk factors had virtually no impact on the racial differences in the prevalence of high-grade stenosis. Furthermore, even if a referral bias were present, it generally appears to be having a similar effect for Blacks and Whites.
Many reports in the literature assess whether differences in risk factors can explain the differences in disease (in our case, the prevalence of high-grade stenosis). However, we found (1) a lower prevalence of high-grade carotid stenosis in both Blacks and Hispanics relative to Whites and (2) a generally heavier risk factor burden for Blacks than for Whites. Specifically, there was a substantially higher prevalence of hypertension and diabetes in Blacks than Whites (absolute differences of 18.1% and 10.4% higher, respectively), and a very similar prevalence of dyslipidemia in Blacks and Whites (only a 0.8% difference). While smoking data are missing on the majority of the cohort, for the data available there was only a marginally higher prevalence of smoking in Whites than Blacks (6.6% higher in Whites). Since the risk factor burden is generally heavier for Blacks than Whites, adjustment for these risk factors would tend to make the White excess risk of high-grade stenosis even larger. That is, the higher prevalence of high-grade stenosis in Whites compared with Blacks exists despite the generally heavier risk factor burden in Blacks. That smoking data, a major risk factor for extracranial atherosclerosis, is missing on the majority (52%) of the respondents in the LLS data is a substantial shortcoming of these data. For completeness, we nevertheless performed a sensitivity analysis assessing the impact of risk factor adjustment on the estimated prevalence ratio for high-grade stenosis in the 2 791 017 participants with compete risk factor data (including smoking), showing that adjustment for the prevalence of these risk factors had virtually no impact on the estimated racial differences in the prevalence of high-grade stenosis.
Prior clinical studies have examined Black-White differences in carotid stenosis among patients presenting to a hospital with a stroke, generally showing that Black stroke patients have less carotid stenosis than Whites.24–26 However, patients with a stroke are not representative of the general population. Stroke subtypes may differ between Blacks and Whites, with Whites having a preponderance of large vessel stroke and Blacks more lacunar and hemorrhagic strokes.27 Hence, the atherogenic larger-vessel mechanisms bringing a White stroke patient to medical attention may be more closely related to high-grade stenosis than the small-vessel or hemorrhagic mechanisms for the Black population. As a result of these selection disparities, observations made in patients presenting with a stroke or patients undergoing carotid revascularization cannot address the question of whether there are race/ethnic differences in the prevalence of carotid atherosclerosis in the general population.
Clinical trials have a responsibility to recruit minority populations in numbers sufficient to provide a valid analysis of race/ethnic differences. Despite major efforts to bolster recruitment of minority patients, the percent of Blacks has remained low in the NIH trials related to asymptomatic carotid disease.11 An important goal should be recruitment proportionate to their representation among people with the disease. These data suggest that the goals for minority recruitment for studies of asymptomatic (ie, general population) high-grade carotid stenosis should be reconsidered. This report would suggest that goals of 7% Black, 7% Hispanic, and 43% women are more appropriate.
The LLS cohort represents both the greatest strength and weakness of this report. Only with this remarkable sample size available from the LLS data is it possible to reliably estimate racial differences in the prevalence of high-grade stenosis, a task made challenging by the low prevalence of the condition in the general population. In addition, that the LLS cohort is not drawn from a hospital/clinical population offers the opportunity to assess racial differences in the prevalence of high-grade stenosis in the general population. Conversely, the LLS cohort is self-referred and requires self-payment for the evaluation, opening the possibility for a referral bias by over representing those with a higher socioeconomic status and be comprised of either the worried sick or the worried well Admittedly, differences in socioeconomic status between the race/ethnic groups may contribute to differences in the prevalence of stenosis, although we did not have this information to adjust for. Furthermore, there is additional potential for residual confounding introduced by racial differences in the awareness-treatment-control of risk factors. To the extent that referral bias is playing a role, the biologic mechanism would likely be through a pathway of the prevalence of the cardiovascular risk factors. We are somewhat comforted that the prevalence of the (admittedly self-reported) cardiovascular risk factors in the LLS cohort is similar to the prevalence seen in random samples of the general population. Furthermore, adjustment for these risk factors had little impact on the estimated racial differences in the prevalence of high-grade stenosis suggesting that referral biases were having a minimal and similar impact across the race/ethnic groups. In the extremely small group of individuals with contralateral carotid occlusion, there may have been increased velocities in the index carotid artery.
In this first report of race/ethnic differences in the prevalence of high-grade carotid stenosis, we observed that both Blacks and Hispanics contributed a lower proportion of high-grade carotid stenosis relative to their representation in the general population, despite their having a more adverse cardiovascular risk profile. This lower prevalence of high-grade stenosis is a potential contributor to the lower carotid revascularization rates in these minority populations.

Footnote

Nonstandard Abbreviations and Acronyms

LLS
Life Line Screening
REGARDS
Reasons for Geographic and Racial Differences in Stroke

Supplemental Material

File (str_stroke-2020-032723_supp1.pdf)

References

1.
Wayangankar SA, Kennedy KF, Aronow HD, Rundback J, Tafur A, Drachman D, Patel B, Sivaram CA, Latif F. Racial/Ethnic variation in carotid artery revascularization utilization and outcomes: analysis from the National Cardiovascular Data Registry. Stroke. 2015;46:1525–1532. doi: 10.1161/STROKEAHA.115.009013
2.
Brown HA, Sullivan MC, Gusberg RG, Dardik A, Sosa JA, Indes JE. Race as a predictor of morbidity, mortality, and neurologic events after carotid endarterectomy. J Vasc Surg. 2013;57:1325–1330. doi: 10.1016/j.jvs.2012.10.131
3.
Lichtman JH, Jones MR, Leifheit EC, Sheffet AJ, Howard G, Lal BK, Howard VJ, Wang Y, Curtis J, Brott TG. Carotid endarterectomy and carotid artery stenting in the US Medicare Population, 1999-2014. JAMA. 2017;318:1035–1046. doi: 10.1001/jama.2017.12882
4.
Centers for Disease Control and Prevention. Underlying cause of death file: 1999-2019. CDC WONDER Online Database, compiled from Underlying Cause of Death Mortality File 1968-2019. Accessed January 21, 2021. https://wonder.cdc.gov/Deaths-by-Underlying-Cause.html
5.
Martin KD, Naert L, Goldstein LB, Kasl S, Molinaro AM, Lichtman JH. Comparing the use of diagnostic imaging and receipt of carotid endarterectomy in elderly Black and White stroke patients. J Stroke Cerebrovasc Dis. 2012;21:600–606. doi: 10.1016/j.jstrokecerebrovasdis.2011.02.002
6.
Kennedy BS, Fortmann SP, Stafford RS. Elective and isolated carotid endarterectomy: health disparities in utilization and outcomes, but not readmission. J Natl Med Assoc. 2007;99:480–488.
7.
Oddone EZ, Horner RD, Johnston DC, Stechuchak K, McIntyre L, Ward A, Alley LG, Whittle J, Kroupa L, Taylor J. Carotid endarterectomy and race: do clinical indications and patient preferences account for differences? Stroke. 2002;33:2936–2943. doi: 10.1161/01.str.0000043672.42831.eb
8.
Howard G. Ancel Keys Lecture: adventures (and misadventures) in understanding (and reducing) disparities in stroke mortality. Stroke. 2013;44:3254–3259. doi: 10.1161/STROKEAHA.113.002113
9.
Kurian AK, Cardarelli KM. Racial and ethnic differences in cardiovascular disease risk factors: a systematic review. Ethn Dis. 2007;17:143–152.
10.
Amendment: NIH Policy and Guidelines on the Inclusion of Women and Minorities as subjects in clinical research. NOT-OD-18-014. 2017;NOT-OD-18-014. Retrieved April 14, 2021. https://grants.nih.gov/grants/guide/notice-files/NOT-OD-18-014.html.
11.
Sheffet AJ, Howard G, Sam A, Jamil Z, Weaver F, Chiu D, Voeks JH, Howard VJ, Hughes SE, Flaxman L, et al; CREST Investigators. Challenge and yield of enrolling racially and ethnically diverse patient populations in low event rate clinical trials. Stroke. 2018;49:84–89. doi: 10.1161/STROKEAHA.117.018063
12.
Hicks CW, Daya NR, Black JH, Matsushita K, Selvin E. Race and sex-based disparities associated with carotid endarterectomy in the Atherosclerosis Risk in Communities (ARIC) study. Atherosclerosis. 2020;292:10–16. doi: 10.1016/j.atherosclerosis.2019.10.019
13.
Goldstein LB, Matchar DB, Hoff-Lindquist J, Samsa GP, Horner RD. Veterans Administration Acute Stroke (VASt) Study: lack of race/ethnic-based differences in utilization of stroke-related procedures or services. Stroke. 2003;34:999–1004. doi: 10.1161/01.STR.0000063364.88309.27
14.
Howard G, Howard VJ; REasons for Geographic And Racial Differences in Stroke (REGARDS) Investigators. Ethnic disparities in stroke: the scope of the problem. Ethn Dis. 2001;11:761–768.
15.
de Weerd M, Greving JP, Hedblad B, Lorenz MW, Mathiesen EB, O’Leary DH, Rosvall M, Sitzer M, Buskens E, Bots ML. Prevalence of asymptomatic carotid artery stenosis in the general population: an individual participant data meta-analysis. Stroke. 2010;41:1294–1297. doi: 10.1161/STROKEAHA.110.581058
16.
O’Leary DH, Polak JF, Kronmal RA, Kittner SJ, Bond MG, Wolfson SK, Bommer W, Price TR, Gardin JM, Savage PJ. Distribution and correlates of sonographically detected carotid artery disease in the Cardiovascular Health Study. The CHS Collaborative Research Group. Stroke. 1992;23:1752–1760. doi: 10.1161/01.str.23.12.1752
17.
Brott TG, Halperin JL, Abbara S, Bacharach JM, Barr JD, Bush RL, Cates CU, Creager MA, Fowler SB, Friday G, et al; American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines; American Stroke Association; American Association of Neuroscience Nurses; American Association of Neurological Surgeons; American College of Radiology; American Society of Neuroradiology; Congress of Neurological Surgeons; Society of Atherosclerosis Imaging and Prevention; Society for Cardiovascular Angiography and Interventions; Society of Interventional Radiology; Society of NeuroInterventional Surgery; Society for Vascular Medicine; Society for Vascular Surgery. 2011 ASA/ACCF/AHA/AANN/AANS/ACR/ASNR/CNS/SAIP/SCAI/SIR/SNIS/SVM/SVS guideline on the management of patients with extracranial carotid and vertebral artery disease: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American Stroke Association, American Association of Neuroscience Nurses, American Association of Neurological Surgeons, American College of Radiology, American Society of Neuroradiology, Congress of Neurological Surgeons, Society of Atherosclerosis Imaging and Prevention, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society of NeuroInterventional Surgery, Society for Vascular Medicine, and Society for Vascular Surgery. Vasc Med. 2011;16:35–77. doi: 10.1177/1358863X11399328
18.
Savji N, Rockman CB, Skolnick AH, Guo Y, Adelman MA, Riles T, Berger JS. Association between advanced age and vascular disease in different arterial territories: a population database of over 3.6 million subjects. J Am Coll Cardiol. 2013;61:1736–1743. doi: 10.1016/j.jacc.2013.01.054
19.
Razzouk L, Rockman CB, Patel MR, Guo Y, Adelman MA, Riles TS, Berger JS. Co-existence of vascular disease in different arterial beds: peripheral artery disease and carotid artery stenosis–Data from Life Line Screening(®). Atherosclerosis. 2015;241:687–691. doi: 10.1016/j.atherosclerosis.2015.06.029
20.
Grant EG, Benson CB, Moneta GL, Alexandrov AV, Baker JD, Bluth EI, Carroll BA, Eliasziw M, Gocke J, Hertzberg BS, et al; Society of Radiologists in Ultrasound. Carotid artery stenosis: grayscale and Doppler ultrasound diagnosis–Society of Radiologists in Ultrasound consensus conference. Ultrasound Q. 2003;19:190–198. doi: 10.1097/00013644-200312000-00005
21.
Howard G, Moy CS, Howard VJ, McClure LA, Kleindorfer DO, Kissela BM, Judd SE, Unverzagt FW, Soliman EZ, Safford MM, et al; REGARDS Investigators*. Where to focus efforts to reduce the Black-White disparity in stroke mortality: incidence versus case fatality? Stroke. 2016;47:1893–1898. doi: 10.1161/STROKEAHA.115.012631
22.
Hintze, J. Pass 14: Power Analysis and Sample Size Software. NCSS, LLC; 2015.
23.
Rockman CB, Hoang H, Guo Y, Maldonado TS, Jacobowitz GR, Talishinskiy T, Riles TS, Berger JS. The prevalence of carotid artery stenosis varies significantly by race. J Vasc Surg. 2013;57:327–337. doi: 10.1016/j.jvs.2012.08.118
24.
Wityk RJ, Lehman D, Klag M, Coresh J, Ahn H, Litt B. Race and sex differences in the distribution of cerebral atherosclerosis. Stroke. 1996;27:1974–1980. doi: 10.1161/01.str.27.11.1974
25.
Wang MY, Mimran R, Mohit A, Lavine SD, Giannotta S. Carotid stenosis in a multiethnic population. J Stroke Cerebrovasc Dis. 2000;9:64–69. doi: 10.1053/jscd.2000.0090064
26.
Sen S, Dahlberg K, Case A, Paolini S, Burdine J, Peddareddygari LR, Grewal RP. Racial-ethnic differences in stroke risk factors and subtypes: results of a prospective hospital-based registry. Int J Neurosci. 2013;123:568–574. doi: 10.3109/00207454.2013.783030
27.
Markus HS, Khan U, Birns J, Evans A, Kalra L, Rudd AG, Wolfe CD, Jerrard-Dunne P. Differences in stroke subtypes between Black and White patients with stroke: the South London Ethnicity and Stroke Study. Circulation. 2007;116:2157–2164. doi: 10.1161/CIRCULATIONAHA.107.699785

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Published In

Go to Stroke
Go to Stroke
Stroke
Pages: 2053 - 2059
PubMed: 33940957

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History

Received: 5 October 2020
Revision received: 13 March 2021
Accepted: 23 March 2021
Published online: 4 May 2021
Published in print: June 2021

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Keywords

  1. carotid stenosis
  2. population
  3. prevalence
  4. race
  5. risk factors

Subjects

Authors

Affiliations

Brajesh K. Lal, MD
University of Maryland School of Medicine, Baltimore VA Medical Center (B.K.L., A.L.).
James F. Meschia, MD
Mayo Clinic, Jacksonville, FL (J.F.M., T.G.B.).
Thomas G. Brott, MD
Mayo Clinic, Jacksonville, FL (J.F.M., T.G.B.).
Michael Jones, MD
Baptist Health, Lexington, KY (M.J.).
Herbert D. Aronow, MD, MPH https://orcid.org/0000-0002-9061-7893
Alpert Medical School of Brown University, Providence, RI (H.D.A.).
Angelica Lackey, BS
University of Maryland School of Medicine, Baltimore VA Medical Center (B.K.L., A.L.).
University of Alabama at Birmingham (G.H.).

Notes

This manuscript was sent to Helmi Lutsep, Guest Editor, for review by expert referees, editorial decision, and final disposition.
The Data Supplement is available with this article at Supplemental Material.
For Sources of Funding and Disclosures, see page 2059.
Correspondence to: George Howard, DrPH, Department of Biostatistics, UAB School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294. Email [email protected]

Disclosures

Disclosures Dr Aronow, Consultation fees from Silk Road Medical Inc in 2019, unrelated to the current publication. The other authors report no conflicts.

Sources of Funding

This work was supported by the U01 NS080168 and U01 NS080165 from the National Institute of Neurological Disorders and Stroke, National Institutes of Health, Department of Health and Human Service.

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  1. Carotid Artery Stenting Outcomes by Neurointerventional Surgeons (CASONI), Stroke: Vascular and Interventional Neurology, 5, 1, (2024)./doi/10.1161/SVIN.124.001459
    Abstract
  2. William M. Feinberg Lecture: Asymptomatic Carotid Stenosis: Current and Future Considerations, Stroke, 55, 8, (2184-2192), (2024)./doi/10.1161/STROKEAHA.124.046956
    Abstract
  3. Circulating Sex-Specific Markers of Plaque Instability in Women and Men With Severe Carotid Atherosclerosis, Stroke, 55, 2, (269-277), (2024)./doi/10.1161/STROKEAHA.123.044840
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  4. Social Determinants of Health Framework to Identify and Reduce Barriers to Imaging in Marginalized Communities, Radiology, 310, 2, (2024).https://doi.org/10.1148/radiol.223097
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  5. Unstable plaque is a treatable cause of cognitive decline, Medical Hypotheses, 190, (111423), (2024).https://doi.org/10.1016/j.mehy.2024.111423
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  6. Cognitive impairment in asymptomatic carotid artery stenosis is associated with abnormal segments in the Circle of Willis, Journal of Vascular Surgery, 80, 3, (746-755.e2), (2024).https://doi.org/10.1016/j.jvs.2024.04.059
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  7. Comparative assessment of racial disparity in 30-day outcomes for Asian Americans undergoing carotid endarterectomy, Journal of Vascular Surgery, 79, 5, (1132-1141), (2024).https://doi.org/10.1016/j.jvs.2023.12.038
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  8. Race, Ethnicity, and Gender Disparities in the Management and Outcomes of Critically Ill Adults with Acute Stroke, Critical Care Clinics, 40, 4, (709-740), (2024).https://doi.org/10.1016/j.ccc.2024.05.006
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  9. Provider care segregation and hospital-region racial disparities for carotid interventions in the USA, Journal of NeuroInterventional Surgery, 16, 9, (864-869), (2023).https://doi.org/10.1136/jnis-2023-020656
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  10. Socioeconomic status fails to account for worse outcomes in non-Hispanic black patients undergoing carotid revascularization, Journal of Vascular Surgery, 78, 5, (1248-1259.e1), (2023).https://doi.org/10.1016/j.jvs.2023.06.103
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