Sex, Race, and Socioeconomic Disparities in Patients With Aortic Stenosis (from a Nationwide Inpatient Sample).

Aortic stenosis (AS) is the third most prevalent cardiovascular disease following hypertension and coronary artery disease. The primary objective of this cross-sectional study is to examine gender, racial, and socioeconomic disparities in AS-related health care utilization in patients aged ≥50 years using data from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample. AS was identified among inpatient discharges with International Classification of Diseases, Ninth Revision, Clinical Modification, code 424.1. Using stratum-specific weighted totals, means, proportions, and regression models, we examined time trends and disparities for inhospital AS prevalence according to gender, race, and income over the 2002 to 2012 period, predictors of AS (gender, race, income, age, health insurance, co-morbidities, and hospital-level characteristics), and AS's role as a predictor of inhospital death, length of stay, and total charges. Inhospital AS prevalence increased from 2.10% in 2002 to 2.37% in 2012, with similar trends observed within gender, race, and income strata. Women were less likely to have AS compared with men (adjusted odds ratio [ORadj] 0.84; 95% confidence interval [CI] 0.83 to 0.86). Blacks (ORadj 0.68; 95% CI 0.66 to 0.71), Hispanics (ORadj 0.79; 95% CI 0.76 to 0.84), and Asians/Pacific Islanders (ORadj 0.68; 95% CI 0.64 to 0.74) were less likely than whites to have AS diagnosis that was directly associated with income. AS was inversely related to inhospital death but positively linked to total charges overall and longer hospital stays among men, whites, and middle-income patients. However, shorter stays with AS were observed among blacks. In conclusion, among older inpatients, AS prevalence was ∼2% and was higher among males, whites, and higher income groups. Although inhospital death was lower and total charges were higher in AS, length of stay's association with AS varied by gender, race, and income.