Assessing Benefit in Heart Failure Patients with Reduced Ejection Fraction: Analysis of the VICTORIA Trial Using Novel Prognostic Risk Stratification

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Abstract

Background

Randomized controlled clinical trials remain the gold standard for determining efficacy of new heart failure (HF) therapies; however, failure to account for heterogeneity in risk of the primary endpoint(s) may dilute treatment efficacy. The novel 5-step stratified testing and amalgamation routine (5-STAR) methodology addresses these limitations using risk stratification based on treatment-independent associations between baseline covariates and clinical outcomes. We applied the 5-STAR methodology to the original VICTORIA database enriched by relevant ancillary information.

Methods

Within the 5-STAR analysis, elastic net Cox regression and a conditional inference tree tool blinded to treatment assignment were used to partition the trial population into risk strata for trial endpoints based on baseline covariates determined to be jointly strongly associated with the risk of the outcome. Core laboratory mechanistic biomarkers and baseline electrocardiographic variables were added to the VICTORIA dataset. After unblinding, treatments were compared for the primary composite endpoint of cardiovascular death or HF hospitalization within each risk stratum: stratum-level results were then averaged for overall inference.

Results

The 5-STAR analysis showed a greater vericiguat treatment effect on the primary composite endpoint than the original prespecified VICTORIA analysis (5-STAR-averaged HR, 95% CI: 0.85, 0.77–0.94 vs 0.90, 0.82–0.98), and on its components (5-STAR-averaged HR, 95% CI: cardiovascular death: 0.79, 0.67–0.93 vs 0.93, 0.81–1.06; HF hospitalization: 0.89, 0.79–1.00 vs 0.90, 0.81–1.00). Five biomarkers (GDF-15, NT-proBNP, albumin, blood urea nitrogen, urate) determined the risk strata across the 3 endpoints.

Conclusions

By developing treatment-independent risk stratification, the 5-STAR methodology attenuates dilution of treatment effects inherent in conventional prognostic risk heterogeneity. This retrospective analysis of VICTORIA revealed greater efficacy of vericiguat on the primary endpoint and its components. GDF-15 was consistently the strongest prognostic risk factor across the composite endpoint and its components of cardiovascular death and HF hospitalization.

Clinical Trial Registration

ClinicalTrials.gov ( NCT02861534 ).

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