Economic Modeling Analysis of an Intensive GDMT Optimization Program in Hospitalized Heart Failure Patients

Author:

Dixit Neal M.1,Parikh Neil U.2,Ziaeian Boback34ORCID,Fonarow Gregg C.3ORCID

Affiliation:

1. Division of Cardiovascular Medicine, Department of Medicine, University of California, Davis, Sacramento (N.M.D.).

2. School of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles (N.U.P.).

3. Division of Cardiology, Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles (B.Z., G.C.F.).

4. Division of Cardiology, Veteran Affairs Greater Los Angeles Healthcare System, CA (B.Z.).

Abstract

BACKGROUND: The STRONG-HF trial (Safety, Tolerability and Efficacy of Up-Titration of Guideline-Directed Medical Therapies for Acute Heart Failure) demonstrated substantial reductions in the composite of mortality and morbidity over 6 months among hospitalized patients with heart failure (HF) who were randomized to intensive guideline-directed medical therapy (GDMT) optimization compared with usual care. Whether an intensive GDMT optimization program would be cost-effective for patients with HF with reduced ejection fraction is unknown. METHODS: Using a 2-state Markov model, we evaluated the effect of an intensive GDMT optimization program on hospitalized patients with HF with reduced ejection fraction. Two population models were created to simulate this intervention, a clinical trial model, based on the participants in the STRONG-HF trial, and a real-world model, based on the Get With The Guidelines–HF registry of patients admitted with worsening HF. We then modeled the effect of a 6-month intensive triple therapy GDMT optimization program comprised of cardiologists, clinical pharmacists, and registered nurses. Hazard ratios from the intervention arm of the STRONG-HF trial were applied to both population models to simulate clinical and financial outcomes of an intensive GDMT optimization program from a US health care sector perspective with a lifetime time horizon. Optimal quadruple GDMT use was also modeled. RESULTS: An intensive GDMT optimization program was extremely cost-effective with incremental cost-effectiveness ratios <$10 000 per quality-adjusted life-year in both models. Optimal quadruple GDMT implementation resulted in the most gains in life-years with incremental cost-effectiveness ratios of $60 000 and $54 000 in the clinical trial and real-world models, respectively. CONCLUSIONS: An intensive GDMT optimization program for patients hospitalized with HF with reduced ejection fraction would be cost-effective and result in substantial gains in clinical outcomes, especially with the use of optimal quadruple GDMT. Clinicians, payers, and policymakers should prioritize the creation of such programs.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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