Economic evaluation of a pharmacogenomic multi-gene panel test to optimize anti-hypertension therapy: simulation study

Abstract

Aims: Hypertension is the strongest modifiable risk factor for cardiovascular disease, affecting 80 million individuals in the US and responsible for ∼360,000 deaths, at total annual costs of $93.5 billion. Antihypertension therapies guided by single genotypes are clinically more effective and may avert more adverse events than the standard of care of layering anti-hypertensive drug therapies, thus potentially decreasing costs. This study aimed to determine the economic benefits of the implementation of multi-gene panel guided therapies for hypertension from the payer perspective within a 3-year time horizon.

Materials and methods: A simulation analysis was conducted for a panel of 10 million insured patients categorized clinically as untreated, treated but uncontrolled, and treated and controlled over a 3-year treatment period. Inputs included research data; empirical data from a 11-gene panel with known functional, heart, blood vessel, and kidney genotypes; and therapy efficacy and safety estimates from literature. Cost estimates were categorized as related to genetic testing, evaluation and management, medication, or adverse events.

Results: Multi-gene panel guided therapy yielding savings of $6,256,607,500 for evaluation and management, $908,160,000 for medications, and $37,467,508,716 for adverse events, after accounting for incremental genetic testing costs of $2,355,540,000. This represents total 3-year savings of $42,276,736,216, or a 47% reduction, and 3-year savings of $4,228 and annual savings of $1,409 per covered patient.

Conclusions: A precision medicine approach to genetically guided therapy for hypertension patients using a multi-gene panel reduced total 3-year costs by 47%, yielding savings exceeding $42.3 billion in an insured panel of 10 million patients. Importantly, 89% of these savings are generated by averting specific adverse events and, thus, optimizing choice of therapy in function of both safety and efficacy.

Keywords:

• Pharmacogenomics
• Genetic testing
• Hypertension
• Precision medicine
• Economics
• Simulation

JEL Classification:

• C15
• E17
• I11
• I15

Transparency

Declaration of funding

The study was supported by funds from Geneticure Inc., which has developed multi-gene panels for blood pressure prescribing using pharmacogenetics. NSA and IA provided independent economic analysis advice to Geneticure Inc. pro bono without any monetary or other benefits.

Disclosure of financial/other interests

EFK declares no conflict of interest. EMS, SCS, RS, and TPO have significant financial interests in Geneticure Inc. NSA and IA provided independent economic analysis advice to Geneticure Inc. pro bono without any monetary or other benefits. They have no other conflicts to declare. Peer reviewers on this manuscript have received an honorarium from JME for their review work, but have no other relevant financial relationships to disclose.

Acknowledgments

No assistance in the preparation of this article is to be declared. Publication of this study does not represent an endorsement of Geneticure, Inc. by this journal or any professional organization.