We applied mixed linear regression to examine relationships between baseline SHFM scores and EQ-5D-derived health utilities collected longitudinally in a large clinical trial. A?1-unit increase in SHFM score (higher predicted mortality) was associated with a 0.030 decrease in utility (P < .001) and an additional 0.006 decrease per year (P < .001). With SHFM score modeled as a categorical variable, EQ-5D utilities for patients with rounded SHFM scores of 1 or 2 were significantly lower (?0.041 and ?0.053, respectively; both P < .001) and declined more rapidly over time (?0.011 and ?0.020, respectively; both P ¡Ü .004) than for patients with scores of ?1.
Patients with higher SHFM-predicted mortality had significantly lower health utilities at?baseline and greater rates of decline over time, compared with patients with lower SHFM-predicted mortality. These relationships can be applied when examining the cost-effectiveness of heart failure interventions.