- Khariton, Yevgeniy;
- Nassif, Michael E;
- Thomas, Laine;
- Fonarow, Gregg C;
- Mi, Xiaojuan;
- DeVore, Adam D;
- Duffy, Carol;
- Sharma, Puza P;
- Albert, Nancy M;
- Patterson, J Herbert;
- Butler, Javed;
- Hernandez, Adrian F;
- Williams, Fredonia B;
- McCague, Kevin;
- Spertus, John A
Objectives
This study sought to describe the health status of outpatients with heart failure and reduced ejection fraction (HFrEF) by sex, race/ethnicity, and socioeconomic status (SES).Background
Although a primary goal in treating patients with HFrEF is to optimize health status, whether disparities by sex, race/ethnicity, and SES exist is unknown.Methods
In the CHAMP-HF (Change the Management of Patients with Heart Failure) registry, the associations among sex, race, and SES and health status, as measured by the Kansas City Cardiomyopathy Questionnaire-overall summary (KCCQ-os) score (range 0 to 100; higher scores indicate better health status) was compared among 3,494 patients from 140 U.S. clinics. SES was categorized by total household income. Hierarchical multivariate linear regression estimated differences in KCCQ-os score after adjusting for 31 patient characteristics and 10 medications.Results
Overall mean KCCQ-os scores were 64.2 ± 24.0 but lower for women (29% of sample; 60.3 ± 24.0 vs. 65.9 ± 24.0, respectively; p < 0.001), for blacks (60.5 ± 25.0 vs. 64.9 ± 23.0, respectively; p < 0.001), for Hispanics (59.1 ± 21.0 vs. 64.9 ± 23.0, respectively; p < 0.001), and for those with the lowest income (<$25,000; mean: 57.1 vs. 63.1 to 74.7 for other income categories; p < 0.001). Fully adjusted KCCQ-os scores were 2.2 points lower for women (95% confidence interval [CI]: -3.8 to -0.6; p = 0.007), no different for blacks (p = 0.74), 4.0 points lower for Hispanics (95% CI: -6.6 to -1.3; p = 0.003), and lowest in the poorest patients (4.7 points lower than those with the highest income (95% CI: 0.1 to 9.2; p = 0.045; p for trend = 0.003).Conclusions
Among outpatients with HFrEF, women, blacks, Hispanics, and poorer patients had worse health status, which remained significant for women, Hispanics, and poorer patients in fully adjusted analyses. This suggests an opportunity to further optimize treatment to reduce these observed disparities.