Literature DB >> 35395131

Temporal trends in transcatheter aortic valve replacement use and outcomes by race, ethnicity, and sex.

Celina M Yong1,2, Karolina Jaluba3, Wayne Batchelor4, Santosh Gummipundi1, Steven M Asch1,3, Paul Heidenreich1,2.   

Abstract

OBJECTIVES: To identify trends in transcatheter aortic valve replacement (TAVR) use and outcomes by race (non-Hispanic White, Black), ethnicity (Hispanic), and sex over time.
BACKGROUND: Despite rapid growth in TAVR use over time, our understanding of its use and outcomes among males and females of underrepresented racial/ethnic groups remains limited.
METHODS: A retrospective analysis of hospitalizations from 2013 to 2017 from the Healthcare Cost and Utilization Project database was performed.
RESULTS: White patients comprised 65% (n = 2.16 × 107 ) of all hospitalizations, yet they comprised 83% (n = 176,887) of the admissions for aortic stenosis (p < 0.0001). Among 91,693 hospitalizations for aortic valve replacement, 64,069 were surgical (34.0% female, 7.0% Hispanic, and 5.9% Black) and 27,624 were transcatheter (46.6% female, 4.5% Hispanic, and 4.4% Black). Growth in TAVR volumes was the slowest among minorities and females. Hispanic males, Hispanic females, and White females had the highest in-hospital mortality (2.7%-3.3%; compared to White males, adjusted odds ratio: Hispanic males 1.9 [1.2-3.0], Hispanic females 1.9 [1.2-3.1], and White females 1.4 [1.2-1.7]). Despite less baseline vascular disease, females of all races/ethnicities had more vascular complications than men (female 5% vs. male 3.5%, p ≤ 0.001). Further adjustment for vascular complications only partially attenuated mortality differences. Black and Hispanic patients had a longer mean length of hospital stay than White patients, which was most pronounced among females. Pacemaker requirements were consistently low among all groups.
CONCLUSION: Differences in TAVR growth and outcomes by race, ethnicity, and sex over time highlight areas for focused efforts to close gaps in minimally invasive structural heart disease care.
© 2022 The Authors. Catheterization and Cardiovascular Interventions published by Wiley Periodicals LLC.

Entities:  

Keywords:  aortic stenosis; disparities; gender; outcomes

Mesh:

Year:  2022        PMID: 35395131      PMCID: PMC9541424          DOI: 10.1002/ccd.30182

Source DB:  PubMed          Journal:  Catheter Cardiovasc Interv        ISSN: 1522-1946            Impact factor:   2.585


aortic valve replacement coronary artery bypass grafting Healthcare Cost and Utilization Project International Classification of Diseases, Ninth and Tenth Revision surgical aortic valve replacement transcatheter aortic valve replacement

INTRODUCTION

Over the last decade, transcatheter aortic valve replacement (TAVR) has transformed life‐saving treatment options for patients with aortic stenosis. However, our understanding of how TAVR use and outcomes by race, ethnicity, and sex have responded to recent increases in accessibility is limited, with a paucity of data reflecting the modern structural heart era. Most prior studies of race, ethnicity, or sex predate landmark TAVR trials, as well as national regulatory approvals, updated guidelines, and modern‐day practices. , , , , Importantly, they largely examine race/ethnicity alone, or sex alone, but do not focus on the important interaction between sex and race/ethnicity. The aim of this study is to understand potential differences in TAVR use and outcomes by race, ethnicity, and sex over time, which will be essential to guide programs as we rapidly scale across the spectrum of novel minimally invasive cardiac procedures.

METHODS

Data source

We used the Nationwide Inpatient Sample from the Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project (HCUP), which is the largest, most comprehensive source of longitudinal hospital data in the United States. It includes all‐payer, encounter‐level information without selection bias, and has been widely used. We identified all patients in whom race (White or Black), ethnicity (Hispanic or non‐Hispanic), and sex (male or female) were known. Few were excluded due to low representation (Asian 0.4%, Native American 0.1%, and other 0.8%) or missing race (1.8%). If the source supplied race and ethnicity in separate data elements, ethnicity took precedence over race. We used the International Classification of Diseases, Ninth (ICD‐9) and Tenth Revision (ICD‐10) codes to identify all admissions for any form of aortic valve replacement (AVR) from January 2013 to December 2017 (Table S1).

Health outcomes

We identified health outcomes measures of in‐hospital mortality and length of stay, as well postprocedural in‐hospital complications, specifically permanent pacemaker implantation and vascular complications (intraoperative or postprocedural hemorrhage, hematoma, or arterial/venous complication). We also identified all patients hospitalized with a diagnosis of aortic stenosis to approximate the burden of severe disease by race/ethnicity during 2015–2017 (during which the transition to ICD‐10 coding allowed aortic stenosis to be distinguished from aortic regurgitation, Table S1).

Analytic methods

We evaluated differences in patient characteristics by race, ethnicity, and sex using χ 2 tests for categorical variables and analysis of variance for continuous variables. Socioeconomic status was determined using HCUP income data that stratifies patients into four quartiles based on median household state‐specific and year‐specific income by patient ZIP code (range $0–$74,000+). We used the Mantel–Haenszel test for trends to evaluate outcomes over time among race/ethnicity/sex subgroups. We used multivariate logistic regression to adjust for all baseline differences in Table 1, as well as procedure year. We additionally adjusted for postprocedural vascular complications to determine the degree to which this impacted mortality. To handle missing data, we imputed the mean for continuous variables and created a missing category for categorical data to not lose categorical data. A p < 0.05 was considered statistically significant. The statistical program SAS 8.2 was used for all analyses. The data that support the findings of this study are available from the corresponding author upon reasonable request. This study was approved by the Stanford Institutional Review Board.
Table 1

Baseline characteristics

All n = 27624FemaleMale p
White n = 11539Black n = 692Hispanic n = 641White n = 13630Black n = 513Hispanic n = 609
Age (SD)80.3 (8.5)81.2 (8.0)78.0 (10.0)79.3 (9.1)80.1 (8.5)75.2 (11.0)78.2 (10.7)<0.0001
Medical Comorbidity
HTN24022 (87%)10013 (86.8%)640 (92.5%)574 (89.6%)11792 (86.5%)469 (91.4%)534 (87.7%)<0.0001
DM10074 (36.5%)3788 (32.8%)332 (48.0%)291 (45.4%)5132 (37.7%)229 (44.6%)302 (49.6%)<0.0001
IHD1262 (4.6%)563 (4.9%)28 (4.1%)17 (1.4%)603 (4.4%)29 (5.7%)22 (3.6%)<0.05
AF/A flutter11727 (42.5%)4859 (42.1%)185 (26.7%)186 (29.0%)6117 (44.9%)162 (31.6%)218 (35.8%)<0.0001
Chronic renal disease10100 (36.6%)3509 (30.4%)306 (44.2%)229 (35.7%)5479 (40.2%)316 (61.6%)261 (42.9%)<0.0001
CHF20639 (74.7%)8576 (74.3%)532 (76.9%)470 (73.3%)10207 (74.9%)410 (79.9%)444 (72.9%)<0.04
PAD7690 (27.8%)2689 (23.3%)169 (24.4%)150 (23.4%)3933 (29.3%)140 (27.3%)176(28.9%)<0.0001
Chronic pulmonary disease9869 (35.7%)4195 (36.4%)265 (38.3%)215 (33.5%)4827 (35.4%)183 (35.7%)184 (30.2%)0.02
Malignancy953 (3.4%)298 (2.6%)15 (2.2%)19 (3.0%)567 (4.2%)27 (5.3%)27 (4.4%)<0.0001
Charlson comorbidity index<0.0001
0–212437 (45%)5845 (51%)253 (36%)277 (43.2%)5694 (42%)133 (26%)235 (38.6%)
3–48950 (32.4%)3500 (30%)236 (34%)213 (33.2%)4599 (34%)202 (39%)200 (32.8%)
5+6237 (22.6%)2194 (19%)203 (29%)151 (23.6%)3337 (25%)178 (35%)174 (28.6%)
Primary payer<0.0001
Medicare24924 (90.4%)10706 (92.9%)614 (88.9%)542 (84.6%)12121 (89.1%)428 (83.9%)513 (84.4%)
Other357 (1.3%)53 (0.5%)2 (0.3%)7 (1.1%)271 (2.0%)13 (2.6%)11 (1.8%)
Medicaid304 (1.1%)90 (0.8%)19 (2.8%)36 (5.6%)123 (0.9%)13 (2.6%)23 (3.8%)
Private1866 (6.8%)638 (5.5%)53 (7.7%)52 (8.1%)1021 (7.5%)51 (10.0%)51 (8.4%)
Self‐pay126 (0.5%)41 (0.4%)2 (0.3%)4 (0.6%)64 (0.5%)5 (1.0%)10 (1.6%)
No charge5 (0%)1 (0.01%)1 (0.1%)03 (0.02%)00
Income quartile<0.0001
15951 (21.9%)2346 (20.6%)358 (52.5%)201 (32.3%)2604 (19.4%)250 (49.2%)192 (32.7%)
26958 (25.6%)2937 (25.8%)121 (17.7%)151 (24.2%)3507 (26.2%)100 (19.7%)142 (24.2%)
37097 (26.1%)2965 (26.0%)113 (16.6%)140 (22.5%)3635 (27.1%)90 (17.2%)154 (26.2%)
47185 (26.4%)3147 (27.6%)90 (13.2%)131 (21.0%)3650 (27.3%)68 (13.4%)99 (16.9%)

Note: Income Quartile 4 is highest.

Abbreviations: AF/A flutter, atrial fibrillation/atrial flutter; CHF, congestive heart failure; DM, diabetes; HTN, hypertension; IHD, ischemic heart disease; PAD, peripheral arterial disease.

Baseline characteristics Note: Income Quartile 4 is highest. Abbreviations: AF/A flutter, atrial fibrillation/atrial flutter; CHF, congestive heart failure; DM, diabetes; HTN, hypertension; IHD, ischemic heart disease; PAD, peripheral arterial disease.

RESULTS

White patients were significantly more likely to have a diagnosis of aortic stenosis as their indication for hospitalization compared to other races/ethnicities; White patients comprised 65% (n = 2.2 × 107) of all admissions, yet comprised 83% (n = 176,887) of the admissions for aortic stenosis (p < 0.0001). The breakdown of admissions for aortic stenosis by race/ethnicity/sex were 93,149 (44.8%) White males, 88,152 (42.4%) White females, 5761 (2.8%) Black males, 8405 (4.0%) Black females, 6252 (3.0%) Hispanic males, and 6415 (3.1%) Hispanic females. The proportion of patients receiving TAVR from among those hospitalized with any diagnosis of aortic stenosis was 8.6% of White males, 7.4% of White females, 5.2% of Black males, 4.4% of Black females, 5.6% of Hispanic males, and 5.8% of Hispanic females. When limiting hospitalizations to only those with a principal diagnosis of aortic stenosis (which would more specifically approximate those with severe aortic stenosis), the proportion receiving TAVR was 40.1% White males, 46.2% White females, 35.0% Black males, 39.7% Black females, 27.4% Hispanic males, and 39.7% Hispanic females. Similar proportions were found for aortic stenosis as a secondary diagnosis. Of note, 28% (n = 6284) of TAVRs were performed in patients without a diagnosis of aortic stenosis, with a higher proportion among Black females (31.3%) and Hispanic females (32.2%) compared to other groups (27.2%–29.0%). For our primary analysis of procedural treatments for AS, we included 91,693 hospitalizations for AVR, representing 458,465 total U.S. hospitalizations for AVR from 2013 to 2017. Of those studied, 64,069 were for surgical aortic valve replacement (SAVR) (34.0% female, 7.0% Hispanic, and 5.9% Black) and 27,624 were for TAVR (46.6% female, 4.5% Hispanic, and 4.4% Black). The total number of AVRs grew over time, with a cumulative annual increase of 6%–9%. For all patients combined, TAVR volumes increased 30%–49% per year, while SAVR volumes decreased minimally over time (Figure 1A). Relative to the year‐specific population of each race/ethnicity/sex subgroup per the U.S. Census, the rate of uptake in TAVR use over time among White males exceeded all other groups, with Hispanics and Blacks experiencing the slowest growth (Figure 1B). The pattern of increasing TAVRs with concomitant decreasing SAVRs over time was mirrored in each race/ethnicity and sex subgroup, with the exception of Black and Hispanic males, who had a slight rise in SAVRs over time (Figure 1B, Table 2).
Figure 1

Temporal trends in TAVR and SAVR volumes by race/ethnicity and sex. Rates of weighted procedural volumes reported per 100,000 population by respective race/ethnicity/sex and year according to U.S. Census data. (A) TAVR and SAVR rates for all races/ethnicities and sexes combined. (B) TAVR and SAVR rates by race/ethnicity and sex. SAVR, surgical aortic valve replacement; TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com]

Table 2

SAVR and TAVR procedure volumes by race, ethnicity, and sex over time

FemaleMale
WhiteBlackHispanicWhiteBlackHispanic
YearSAVRTAVRSAVRTAVRSAVRTAVRSAVRTAVRSAVRTAVRSAVRTAVR
2013404810853155530344755811184343352846
2014391214933459432553778417654316259082
201538302127316128354132766424254748755099
20163563292930719732416774193622417151646168
20173274390526121828724567514700465180594214

Abbreviations: SAVR, surgical aortic valve replacement; TAVR, transcatheter aortic valve replacement.

Temporal trends in TAVR and SAVR volumes by race/ethnicity and sex. Rates of weighted procedural volumes reported per 100,000 population by respective race/ethnicity/sex and year according to U.S. Census data. (A) TAVR and SAVR rates for all races/ethnicities and sexes combined. (B) TAVR and SAVR rates by race/ethnicity and sex. SAVR, surgical aortic valve replacement; TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com] SAVR and TAVR procedure volumes by race, ethnicity, and sex over time Abbreviations: SAVR, surgical aortic valve replacement; TAVR, transcatheter aortic valve replacement.

Baseline characteristics

Among TAVR patients (Table 1), Black and Hispanic patients had more Medicaid insurance (p < 0.0001) and lower income compared to White patients (p < 0.0001). Black patients were younger and had more comorbidities than White patients. Men of all races/ethnicities had more baseline vascular disease than women (28.5% men vs. 23.7% women, p < 0.0001). Over time, TAVR procedures were performed in younger patients (81.2 ± 8.7 in 2013 to 79.6 ± 8.5 in 2017) with lower Charlson comorbidity indices (3.2 ± 1.9 in 2013 to 3.0 ± 2.2 in 2017).

Clinical outcomes

Hispanic males and females, followed by White females, had the highest in‐hospital TAVR mortality of all groups (3.3% Hispanic males, 3.0% Hispanic females, 2.7% of White females vs. 1.6%–1.9% for all other groups, p = 0.0002, Figure 2), which remained significant after adjustment for baseline characteristics and year (compared to White males, White females: odds ratio [OR]: 1.42, 95% confidence interval [CI]: 1.22–1.71, Hispanic females: OR: 1.89, 95% CI: 1.17–3.05, Hispanic males: OR: 1.91, 95% CI: 1.19–3.04, Figure 3). After further adjustment for vascular complications, the odds of mortality among Hispanic males, Hispanic females, and White females decreased, but remained significantly worse compared to White males (Hispanic men: OR: 1.89 [95% CI: 1.18–3.02], Hispanic females: OR: 1.75 [95% CI: 1.08–2.83], White females: OR: 1.39 [95% CI: 1.17–1.65], Figure 3). Black males and females had the lowest mortality rates, which were comparable to White males after adjustment for comorbidities and vascular complications (compared to White males with 1.9% mortality rate, Black males: 1.8%, OR: 0.93 [0.47–1.8], Black females: 1.6%, OR: 0.91 [0.49–1.7]). While all subgroups had reductions in mortality over time, Hispanic females had an initial bump in mortality from 2.3% in 2013 to 7.6% in 2014 before reaching a steady lower rate over time. Hispanic males had the highest initial mortality rate (13.0% in 2013) which dropped significantly by the next year (2.4% in 2014).
Figure 2

Temporal trends in mortality after TAVR by race, ethnicity, and sex. Mortality declined over time among all White patients, Hispanic males, and Black females. p‐values denote the p trend. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com]

Figure 3

Adjusted mortality after TAVR by race/ethnicity and sex. Hispanic males and females, followed by White females, had higher adjusted mortality after TAVR compared to White males. Additional adjustment for procedural vascular complications only partially attenuated these differences. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com]

Temporal trends in mortality after TAVR by race, ethnicity, and sex. Mortality declined over time among all White patients, Hispanic males, and Black females. p‐values denote the p trend. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com] Adjusted mortality after TAVR by race/ethnicity and sex. Hispanic males and females, followed by White females, had higher adjusted mortality after TAVR compared to White males. Additional adjustment for procedural vascular complications only partially attenuated these differences. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com] When race and sex were included as separate variables in the model, females had an OR of 1.39 (95% CI: 1.19–1.64), Black patients had an OR of 0.74 (95% CI: 0.47–1.17), and Hispanic patients had an OR of 1.57 (95% CI: 1.12–2.19) for mortality. An interaction term (race × sex) was not significant (p = 0.24). Baseline comorbidities that predicted higher odds of mortality included atrial fibrillation (OR: 1.25 [1.06–1.47]), heart failure (OR: 1.32 [1.08–1.62]), renal failure (OR: 1.64 [1.39–1.94]), and peripheral arterial disease (1.22 [1.03–1.45]). Compared to 2017, receipt of a procedure in earlier years also predicted higher risk of in‐hospital mortality (2013: OR: 3.07 [95% CI: 2.38–3.97], 2014: OR: 2.35 [95% CI: 1.84–3.01], 2015: OR: 1.52 [95% CI 1.19–1.96], 2016: OR: 1.27 [95% CI: 1.00–1.61]). Black and Hispanic patients had a longer mean length of stay than White patients, which was particularly pronounced among females (Black males: 6.7 ± 7.6 days, Black females: 7.1 ± 7.4, Hispanic males: 6.5 ± 8.1, Hispanic females: 7.0 ± 7.4, White males: 5.3 ± 6.2, and White females: 5.7 ± 6.1, p < 0.0001).

Procedural complications

Females had more vascular complications after TAVR than males (female 5% vs. male 3.5%, Figure 4). Vascular complications consistently declined over time for each race and sex combination, with the exception of an increase among Hispanic females from 2013 to 2014 (11.4%–18.9%). Overall, permanent pacemaker rates were low among all groups (female 10.5%, male 11.1%, Figure 5).
Figure 4

Temporal trends in vascular complications after TAVR by race, ethnicity, and sex. Major vascular complications decreased for all patients over time, with higher complications among women across all race/ethnic groups. p‐values denote the p trend. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com]

Figure 5

Temporal trends in pacemaker implantation after TAVR by race, ethnicity, and sex. All groups experienced similar low post‐TAVR permanent pacemaker implantation requirements. p‐values denote the p trend. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com]

Temporal trends in vascular complications after TAVR by race, ethnicity, and sex. Major vascular complications decreased for all patients over time, with higher complications among women across all race/ethnic groups. p‐values denote the p trend. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com] Temporal trends in pacemaker implantation after TAVR by race, ethnicity, and sex. All groups experienced similar low post‐TAVR permanent pacemaker implantation requirements. p‐values denote the p trend. TAVR, transcatheter aortic valve replacement [Color figure can be viewed at wileyonlinelibrary.com]

DISCUSSION

In a large national study of aortic stenosis treatment and outcomes by race, ethnicity, and sex, we found a steep rise in the use of TAVR among White males over time, with slower growth among all other subgroups. Hispanic males and females suffer the highest TAVR mortality of all subgroups, followed by White females, even after adjusting for baseline demographics, comorbidities, and procedure year. Poorer outcomes among these subgroups are only partially mediated by their higher vascular complication rates. Despite a higher burden of comorbidities and lower socioeconomic status, Black males and females experience similar low mortality to White males. Our data on changes in AVR volumes over time suggest that TAVRs have not simply replaced SAVR volume, but rather allowed more patients to receive valve replacement who might not otherwise receive treatment. The fact that SAVR volumes remained stable while TAVR volumes grew over time, particularly among Hispanic and Black males, suggests undertreatment of aortic stenosis in these groups during the pre‐TAVR era. However, relative to current proportions of underrepresented groups in the U.S. (14% Black, 20% Hispanic per U.S. Census, with year‐specific subgroup populations used as a reference in Figure 1A), the uptake of TAVR among Black and Hispanic populations continues to lag behind White patients. The uneven growth in TAVR volumes over time represents a missed opportunity to close gaps in equitable access to this life‐saving procedure to date, and at the same time, identify targets for future efforts. We uncover persistent inequities in mortality by ethnicity and sex—though not in the same patterns reported in other procedural and surgical literature. This suggests that our existing approaches to addressing disparities may not apply to this novel paradigm of care. When comparing TAVR mortality between sexes, we found that females suffered higher in‐hospital mortality than males, which persisted after adjustment for baseline characteristics. Older registry data showed higher procedural complications among females with lower long‐term mortality compared to males, likely related to vascular complications in the setting of smaller vessel sizes. While vascular complications have long been cited to explain sex differences in outcomes, the higher in‐hospital mortality risk among females in our study was only minimally reduced after adjustment for those differences. These findings give us pause to consider whether there may be unexamined critical factors influencing the observed sex differences. Hispanic males and females had higher mortality compared to White males, despite fewer comorbidities and higher socioeconomic levels than Black males and females. This counters what has been described as the “Hispanic paradox,” in which Hispanics are less likely to die from the cardiovascular disease despite higher risk profiles than non‐Hispanic White patients. The impact of acculturation on treatment refusal and the applicability of the “healthy migrant effect” as described in the cardiovascular literature warrant further investigation about their potential application to the TAVR space. , Note that the higher mortality of 13% among Hispanic males in 2013 represents very small numbers (only 46 TAVRs were performed in Hispanic males in 2013) and should be interpreted with uncertainty. If true, it may reflect a lag in adoption among either Hispanic male patients or their providers during this early period, which seemed to improve in subsequent years to more closely match non‐Hispanic groups. Slower early adoption among Hispanics who were healthy enough to be offered traditional surgical alternatives may have left only high‐risk Hispanic patients to undergo TAVR in the earliest time period, translating into higher mortality rates. Surgical literature also suggests that Hispanics undergoing coronary artery bypass grafting (CABG) are half as likely as White patients to receive treatment from high‐quality surgeons. Among TAVR operators, less experience may be linked to a lag in early adoption of improved techniques (e.g., transfemoral in favor of transapical access), which could also contribute to high mortality rates among Hispanic patients in the earlier years. Black patients had lower income with more Medicaid insurance, and a higher Charlson comorbidity index despite younger age. Collectively these factors likely contributed to the higher absolute mortality in Black men, but after adjustment for baseline characteristics, the Black race was no longer a significant predictor of mortality, consistent with other studies. , , , Since we know that the benefit of higher‐volume hospital treatment is stronger for Black patients undergoing CABG than White patients, it is possible that disparities in TAVR outcomes among Black patients have diminished as a direct impact of the sheer increase in TAVR volumes. At the least, this, in combination with our findings, provides hope that TAVR may be narrowing racial differences in health outcomes in ways that other procedural treatments have not. We speculate that the Affordable Care Act Medicaid and Marketplace coverage expansions in 2014 that increased insurance coverage for lower income Black patients could have also contributed to the notable drop in mortality among Black men that year, even though it did not impact overall TAVR uptake. Despite these promising results, we must be weary of interpreting the low mortality rates among Black patients as a definite accomplishment, as they may in fact be masking gaps in care. Our findings that demonstrate a higher proportion of White patients hospitalized with a diagnosis of aortic stenosis (AS) and higher receipt of TAVR from among those hospitalized suggest at least three alternative possible explanations for the low mortality among Black patients: (1) we may not be fully capturing overall poor outcomes among the sickest Black patients if they remain underdiagnosed (skewing prevalence estimates), (2) extremely late presentation could result in undertreatment due to poor procedural candidacy, and (3) treatment bias may exclude the highest risk Black patients from receiving novel procedural treatments. Our findings that a higher proportion of Black and Hispanic females had a TAVR without a diagnosis of aortic stenosis suggest either variable diagnostic coding accuracy or atypical or inappropriate use of TAVRs in these groups. These findings also question the validity of prior AS prevalence estimates that rely on equivalent coding accuracy across race/ethnic groups, which warrants further study. Further studies of patient preferences are also needed to provide context for our mortality findings. Our findings on longer lengths of stay among Black and Hispanic patients likely reflect time spent managing their higher burden of comorbidities, and particularly among females, their vascular complications. However, given the older age of females receiving TAVR, it is also possible that the proportion of females with a living spouse/partner is lower than among males, potentially decreasing their social network to support recovery and consequently, increasing their length of stay. There are limitations to this study. While our dataset provides the advantage of capturing in‐hospital procedures without bias from voluntary reporting, it lacks the granularity to assess detailed information about anatomy, operator experience, the severity of comorbidities, contraindications, procedural access, patient preferences, and nuanced social determinants of health. Indications for SAVR and TAVR may include conditions other than aortic stenosis, but these should not meaningfully impact utilization trends over time. We recognize that the absolute numbers of Black and Hispanic patients were low despite sampling the entire country over multiple years. For this reason, we excluded racial minorities with even lower representation (less than 1%) and did not examine heterogeneity within each race/ethnicity or mixed race. This dataset also did not allow us to assess longer‐term outcomes. We do not capture the population of patients who may never receive a procedure due to preprocedural barriers to care. While we adjusted extensively for patient characteristics, unadjusted covariates may persist.

CONCLUSION

Amidst the recent rapid growth of novel minimally invasive therapies for cardiovascular disease, this study reveals slower TAVR uptake among underrepresented minorities over time and disparate outcomes among certain ethnic/sex subgroups. As we struggle as a nation to narrow health disparities, the promising findings of low procedural mortality among Black patients offer hope that novel treatments need not widen them. However, the disproportionate diagnosis of aortic stenosis by race among those hospitalized and the variable diagnostic coding of aortic stenosis among patients treated with TAVR, particularly among Black and Hispanic women, suggest additional complexities that warrant further study.

CONFLICTS OF INTEREST

Wayne Batchelor reports consulting for Abbott, Medtronic, and Boston Scientific. Celina M. Yong, Karolina Jaluba, Santosh Gummipundi, Steven M. Asch, and Paul Heidenreich report no relevant conflicts of interest. Supporting information. Click here for additional data file.
  23 in total

1.  Racial and ethnic disparities in access to higher and lower quality cardiac surgeons for coronary artery bypass grafting.

Authors:  Luis R Castellanos; Sharon-Lise T Normand; John Z Ayanian
Journal:  Am J Cardiol       Date:  2009-04-16       Impact factor: 2.778

2.  TAVR Use and Outcomes in Minorities: Time for a Wake-up Call.

Authors:  Wayne Batchelor; Emmanuel Ekanem
Journal:  Cardiovasc Revasc Med       Date:  2019-07

3.  Procedural Volume and Outcomes for Transcatheter Aortic-Valve Replacement.

Authors:  Sreekanth Vemulapalli; John D Carroll; Michael J Mack; Zhuokai Li; David Dai; Andrzej S Kosinski; Dharam J Kumbhani; Carlos E Ruiz; Vinod H Thourani; George Hanzel; Thomas G Gleason; Howard C Herrmann; Ralph G Brindis; Joseph E Bavaria
Journal:  N Engl J Med       Date:  2019-04-03       Impact factor: 91.245

4.  2014 AHA/ACC guideline for the management of patients with valvular heart disease: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  Rick A Nishimura; Catherine M Otto; Robert O Bonow; Blase A Carabello; John P Erwin; Robert A Guyton; Patrick T O'Gara; Carlos E Ruiz; Nikolaos J Skubas; Paul Sorajja; Thoralf M Sundt; James D Thomas
Journal:  J Am Coll Cardiol       Date:  2014-03-03       Impact factor: 24.094

5.  Racial Disparities in the Utilization and Outcomes of TAVR: TVT Registry Report.

Authors:  Mohamad Alkhouli; David R Holmes; John D Carroll; Zhuokai Li; Taku Inohara; Andrzej S Kosinski; Molly Szerlip; Vinod H Thourani; Michael J Mack; Sreekanth Vemulapalli
Journal:  JACC Cardiovasc Interv       Date:  2019-05-27       Impact factor: 11.195

6.  Sex-Based Differences in Outcomes With Transcatheter Aortic Valve Therapy: TVT Registry From 2011 to 2014.

Authors:  Jaya Chandrasekhar; George Dangas; Jennifer Yu; Sreekanth Vemulapalli; Sunil Suchindran; Amit N Vora; Usman Baber; Roxana Mehran
Journal:  J Am Coll Cardiol       Date:  2016-12-27       Impact factor: 24.094

7.  Transcatheter aortic-valve replacement with a self-expanding prosthesis.

Authors:  David H Adams; Jeffrey J Popma; Michael J Reardon; Steven J Yakubov; Joseph S Coselli; G Michael Deeb; Thomas G Gleason; Maurice Buchbinder; James Hermiller; Neal S Kleiman; Stan Chetcuti; John Heiser; William Merhi; George Zorn; Peter Tadros; Newell Robinson; George Petrossian; G Chad Hughes; J Kevin Harrison; John Conte; Brijeshwar Maini; Mubashir Mumtaz; Sharla Chenoweth; Jae K Oh
Journal:  N Engl J Med       Date:  2014-03-29       Impact factor: 91.245

8.  Racial disparity in the relationship between hospital volume and mortality among patients undergoing coronary artery bypass grafting.

Authors:  Dae Hyun Kim; Constantine Daskalakis; Andrew N Lee; Suzanne Adams; Sam Hohmann; Scott C Silvestry; Sofia Medvedev; David J Whellan
Journal:  Ann Surg       Date:  2008-11       Impact factor: 12.969

9.  Transcatheter or Surgical Aortic-Valve Replacement in Intermediate-Risk Patients.

Authors:  Martin B Leon; Craig R Smith; Michael J Mack; Raj R Makkar; Lars G Svensson; Susheel K Kodali; Vinod H Thourani; E Murat Tuzcu; D Craig Miller; Howard C Herrmann; Darshan Doshi; David J Cohen; Augusto D Pichard; Samir Kapadia; Todd Dewey; Vasilis Babaliaros; Wilson Y Szeto; Mathew R Williams; Dean Kereiakes; Alan Zajarias; Kevin L Greason; Brian K Whisenant; Robert W Hodson; Jeffrey W Moses; Alfredo Trento; David L Brown; William F Fearon; Philippe Pibarot; Rebecca T Hahn; Wael A Jaber; William N Anderson; Maria C Alu; John G Webb
Journal:  N Engl J Med       Date:  2016-04-02       Impact factor: 91.245

10.  Inequities in Aortic Stenosis and Aortic Valve Replacement Between Black/African-American, White, and Hispanic Residents of Maryland.

Authors:  Matthew J Czarny; Rani K Hasan; Wendy S Post; Matthews Chacko; Stefano Schena; Jon R Resar
Journal:  J Am Heart Assoc       Date:  2021-07-15       Impact factor: 5.501

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1.  Temporal trends in transcatheter aortic valve replacement use and outcomes by race, ethnicity, and sex.

Authors:  Celina M Yong; Karolina Jaluba; Wayne Batchelor; Santosh Gummipundi; Steven M Asch; Paul Heidenreich
Journal:  Catheter Cardiovasc Interv       Date:  2022-04-08       Impact factor: 2.585

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