No abstract

The LAS was designed to minimize pretransplant mortality while maximizing post-transplant outcome. Recipients <12 are not allocated lungs based on LAS. Waitlist mortality has decreased for those >12, but not <12, suggesting this population may be disadvantaged. To identify predictors of waitlist mortality, a retrospective analysis of the UNOS database was performed since implementation of the LAS. There were 16,973 patients listed for lung transplant in the United States; 12,070 (71.1%) were transplanted, and 2498 (14.7%) patients died or were removed from the wait list. Significantly more pediatric patients died or were removed compared with adults (22.0% vs. 14.4%, p < 0.01). In multivariate analysis, in addition to higher LAS at time of listing (adj. HR1.058, 1.055-1.060), shorter height (1.008, 1.006-1.010), male gender (1.210, 1.110-1.319), and requiring ECMO (1.613, 1.202-2.163) were associated with pretransplant mortality. Post-transplant survival was not affected by height. The current age cutoff may impose limitations within the current lung allocation system in the United States. Height is an independent predictor of waitlist mortality and may be a valuable factor for the development of a comprehensive lung allocation system.

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.