Characteristics of Clinical Trial Sites for Novel Transcatheter Mitral and Tricuspid Valvular Therapies.

Importance: Racial and ethnic minority and socioeconomically disadvantaged patients have been underrepresented in randomized clinical trials. Efforts have focused on enhancing inclusion of minority groups at sites participating at clinical trials; however, there may be differences in the patient populations of the sites that participate in clinical trials. Objective: To identify any differences in the racial, ethnic, and socioeconomic composition of patient populations among candidate sites in the US that did vs did not participate in trials for novel transcatheter therapies. Design, Setting, and Participants: This cross-sectional analysis used Medicare Provider Claims from 2019 for patients admitted to hospitals in the US. All clinical trials for transcatheter mitral and tricuspid valve therapies and the hospitals participating in each of the trials were identified using ClinicalTrials.gov. Hospitals with active cardiac surgical programs that did not participate in the trials were also identified. Data analysis was performed between July 2021 and July 2022. Exposures: Multivariable linear regression models were used to identify differences in racial, ethnic, and socioeconomic characteristics among patients undergoing cardiac surgery or transcatheter aortic valve replacement at trial vs nontrial hospitals. Main Outcome and Measures: The main outcome of the study was participation in a clinical trial for novel transcatheter mitral or tricuspid valve therapies. Results: A total of 1050 hospitals with cardiac surgery programs were identified, of which 121 (11.5%) participated in trials for transcatheter mitral or tricuspid therapies. Patients treated in trial hospitals had a higher median zip code-based household income (difference of $5261; 95% CI, $2986-$7537), a lower Distressed Communities Index score (difference of 5.37; 95% CI, 2.59-8.15), and no significant difference in the proportion of patients dual eligible for Medicaid (difference of 0.86; 95% CI, -2.38 to 0.66). After adjusting for each of the socioeconomic indicators separately, there was less than 1% difference in the proportion of Black and Hispanic patients cared for at hospitals participating vs not participating in clinical trials. Conclusions and Relevance: In this cohort study among candidate hospitals for clinical trials for transcatheter mitral or tricuspid valve therapies, trial hospitals took care of a more socioeconomically advantaged population than nontrial hospitals, with a similar proportion of Black and Hispanic patients. These data suggest that site selection efforts may improve enrollment of socioeconomically disadvantaged patients but may not improve the enrollment of Black and Hispanic patients.

Racial and ethnic disparities in coronary, vascular, structural, and congenital heart disease.

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.

Development and validation of a simple model to predict severe coronary artery disease after myocardial infarction: potential impact on cardiac catheterization use in the United States and Canada.

BACKGROUND: Improved patient selection may optimize the efficiency of cardiac catheterization in both high- and low-rate regions. The purpose of this study was to develop and validate a clinical model for predicting high-risk coronary artery disease (CAD) after myocardial infarction (MI) and to examine the model's potential impact on the use rate of both US and Canadian catheterization practices. METHODS AND RESULTS: By the use of baseline clinical variables from 1122 patients in the angiographic substudy of the Global Use of Strategies to Open Occluded Arteries in Acute Coronary Syndromes (GUSTO-1) trial, we developed a model that was predictive of severe CAD (left main or triple-vessel disease). The final model, which included prior MI, age, sex, hyperlipidemia, and decreased left ventricular ejection fraction (C-index = 0.70), was externally validated in 781 patients in the GUSTO IIb trial. Although the probability of severe CAD predicted 5-year survival, the frequency of catheterization in both Canada and the United States bore no relationship to severe CAD risk in the GUSTO-1 trial. By use of the model, we estimated that as much as 15% of US catheterizations from both GUSTO-1 and GUSTO IIb might have been avoided, without significantly compromising the number of patients with severe CAD who were identified (sensitivity = 0.94). By applying the model to Canadian practices, an additional 30 cases of severe CAD might have been identified per every 1000 catheterizations performed, without increasing the catheterization rate. CONCLUSIONS: The likelihood of severe CAD after ST-elevation MI may be predicted from simple baseline clinical variables. The use of a severe CAD predictive model to guide patient selection might enhance the cost-effectiveness of both aggressive and conservative catheterization practices.