Racial and ethnic disparities in coronary, vascular, structural, and congenital heart disease.
Cindy L GrinesAndrew J KleinHolly Bauser-HeatonMohamad AlkhouliNeelima KatukuriVarun AggarwalS Elissa AltinWayne B BatchelorJames C BlankenshipFoluso FakoredeBeau HawkinsGabriel A HernandezNkechinyere IjiomaBritton KeeshanJun LiR Allen LigonAndres M PinedaYader SandovalMichael N YoungPublished in: Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions (2021)
Cardiovascular disease (CVD) remains the leading cause of death in the United States. However, percutaneous interventional cardiovascular therapies are often underutilized in Blacks, Hispanics, and women and may contribute to excess morbidity and mortality in these vulnerable populations. The Society for Cardiovascular Angiography and Interventions (SCAI) is committed to reducing racial, ethnic, and sex-based treatment disparities in interventional cardiology patients. Accordingly, each of the SCAI Clinical Interest Councils (coronary, peripheral, structural, and congenital heart disease [CHD]) participated in the development of this whitepaper addressing disparities in diagnosis, treatment, and outcomes in underserved populations. The councils were charged with summarizing the available data on prevalence, treatment, and outcomes and elucidating potential reasons for any disparities. Given the huge changes in racial and ethnic composition by age in the United States (Figure 1), it was difficult to determine disparities in rates of diagnosis and we expected to find some racial differences in prevalence of disease. For example, since the average age of patients undergoing transcatheter aortic valve replacement (TAVR) is 80 years, one may expect 80% of TAVR patients to be non-Hispanic White. Conversely, only 50% of congenital heart interventions would be expected to be performed in non-Hispanic Whites. Finally, we identified opportunities for SCAI to advance clinical care and equity for our patients, regardless of sex, ethnicity, or race.
Keyphrases
- transcatheter aortic valve replacement
- end stage renal disease
- congenital heart disease
- ejection fraction
- cardiovascular disease
- aortic stenosis
- newly diagnosed
- chronic kidney disease
- patients undergoing
- coronary artery disease
- peritoneal dialysis
- prognostic factors
- healthcare
- computed tomography
- coronary artery
- risk factors
- aortic valve
- african american
- adipose tissue
- machine learning
- risk assessment
- pregnant women
- metabolic syndrome
- artificial intelligence
- quality improvement
- data analysis
- replacement therapy