Cost-Effectiveness of Multigene Pharmacogenetic Testing in Patients With Acute Coronary Syndrome After Percutaneous Coronary Intervention
Overview
Pharmacology
Public Health
Authors
Affiliations
Objective: To evaluate the cost-effectiveness of multigene testing (CYP2C19, SLCO1B1, CYP2C9, VKORC1) compared with single-gene testing (CYP2C19) and standard of care (no genotyping) in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) from Medicare's perspective.
Methods: A hybrid decision tree/Markov model was developed to simulate patients post-PCI for ACS requiring antiplatelet therapy (CYP2C19 to guide antiplatelet selection), statin therapy (SLCO1B1 to guide statin selection), and anticoagulant therapy in those that develop atrial fibrillation (CYP2C9/VKORC1 to guide warfarin dose) over 12 months, 24 months, and lifetime. The primary outcome was cost (2016 US dollar) per quality-adjusted life years (QALYs) gained. Costs and QALYs were discounted at 3% per year. Probabilistic sensitivity analysis (PSA) varied input parameters (event probabilities, prescription costs, event costs, health-state utilities) to estimate changes in the cost per QALY gained.
Results: Base-case-discounted results indicated that the cost per QALY gained was $59 876, $33 512, and $3780 at 12 months, 24 months, and lifetime, respectively, for multigene testing compared with standard of care. Single-gene testing was dominated by multigene testing at all time horizons. PSA-discounted results indicated that, at the $50 000/QALY gained willingness-to-pay threshold, multigene testing had the highest probability of cost-effectiveness in the majority of simulations at 24 months (61%) and over the lifetime (81%).
Conclusions: On the basis of projected simulations, multigene testing for Medicare patients post-PCI for ACS has a higher probability of being cost-effective over 24 months and the lifetime compared with single-gene testing and standard of care and could help optimize medication prescribing to improve patient outcomes.
Guo H, Huang J, Wang J, Fan L, Li Y, Wu D Front Pharmacol. 2024; 15:1484512.
PMID: 39534083 PMC: 11554470. DOI: 10.3389/fphar.2024.1484512.
Mai C, Sridhar S, Salim Karattuthodi M, Ganesan P, Shareef J, Lee E BMJ Open. 2024; 14(11):e087064.
PMID: 39500605 PMC: 11552560. DOI: 10.1136/bmjopen-2024-087064.
Lim K, Koleva-Kolarova R, Kamaruzaman H, Kamil A, Chowienczyk P, Wolfe C J Am Heart Assoc. 2024; 13(5):e030058.
PMID: 38390792 PMC: 10944053. DOI: 10.1161/JAHA.123.030058.
Balaha M, Alamer A, Kabel A, Aldosari S, Fatani S Healthcare (Basel). 2023; 11(13).
PMID: 37444807 PMC: 10341678. DOI: 10.3390/healthcare11131973.
Morris S, Alsaidi A, Verbyla A, Cruz A, Macfarlane C, Bauer J Clin Pharmacol Ther. 2022; 112(6):1318-1328.
PMID: 36149409 PMC: 9828439. DOI: 10.1002/cpt.2754.