Literature DB >> 28247199

Cost Effectiveness of Genotype-Guided Warfarin Dosing in Patients with Mechanical Heart Valve Replacement Under the Fee-for-Service System.

Dong-Jin Kim1, Ho-Sook Kim2,3, Minkyung Oh1, Eun-Young Kim1,4, Jae-Gook Shin5,6.   

Abstract

BACKGROUND: Although studies assessing the cost effectiveness of genotype-guided warfarin dosing for the management of atrial fibrillation, deep vein thrombosis, and pulmonary embolism have been reported, no publications have addressed genotype-guided warfarin therapy in mechanical heart valve replacement (MHVR) patients or genotype-guided warfarin therapy under the fee-for-service (FFS) insurance system.
OBJECTIVE: The aim of this study was to evaluate the cost effectiveness of genotype-guided warfarin dosing in patients with MHVR under the FFS system from the Korea healthcare sector perspective.
METHODS: A decision-analytic Markov model was developed to evaluate the cost effectiveness of genotype-guided warfarin dosing compared with standard dosing. Estimates of clinical adverse event rates and health state utilities were derived from the published literature. The outcome measure was the incremental cost-effectiveness ratio (ICER) per quality-adjusted life-year (QALY). One-way and probabilistic sensitivity analyses were performed to explore the range of plausible results.
RESULTS: In a base-case analysis, genotype-guided warfarin dosing was associated with marginally higher QALYs than standard warfarin dosing (6.088 vs. 6.083, respectively), at a slightly higher cost (US$6.8) (year 2016 values). The ICER was US$1356.2 per QALY gained. In probabilistic sensitivity analysis, there was an 82.7% probability that genotype-guided dosing was dominant compared with standard dosing, and a 99.8% probability that it was cost effective at a willingness-to-pay threshold of US$50,000 per QALY gained.
CONCLUSION: Compared with only standard warfarin therapy, genotype-guided warfarin dosing was cost effective in MHVR patients under the FFS insurance system.

Entities:  

Keywords:  International Normalize Ratio; Probabilistic Sensitivity Analysis; Warfarin; Warfarin Dose; Warfarin Therapy

Mesh:

Substances:

Year:  2017        PMID: 28247199     DOI: 10.1007/s40258-017-0317-y

Source DB:  PubMed          Journal:  Appl Health Econ Health Policy        ISSN: 1175-5652            Impact factor:   2.561


  6 in total

1.  Genotype-guided warfarin dosing vs. conventional dosing strategies: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Gary Tse; Mengqi Gong; Guangping Li; Sunny Hei Wong; William K K Wu; Wing Tak Wong; Leonardo Roever; Alex Pui Wai Lee; Gregory Y H Lip; Martin C S Wong; Tong Liu
Journal:  Br J Clin Pharmacol       Date:  2018-06-21       Impact factor: 4.335

Review 2.  Precision dosing of warfarin: open questions and strategies.

Authors:  Xi Li; Dan Li; Ji-Chu Wu; Zhao-Qian Liu; Hong-Hao Zhou; Ji-Ye Yin
Journal:  Pharmacogenomics J       Date:  2019-02-12       Impact factor: 3.550

Review 3.  A systematic review on the cost effectiveness of pharmacogenomics in developing countries: implementation challenges.

Authors:  Asif Sukri; Mohd Zaki Salleh; Collen Masimirembwa; Lay Kek Teh
Journal:  Pharmacogenomics J       Date:  2022-03-22       Impact factor: 3.245

4.  Algorithm for predicting low maintenance doses of warfarin using age and polymorphisms in genes CYP2C9 and VKORC1 in Brazilian subjects.

Authors:  Aline de Oliveira Magalhães Mourão; Karina Braga Gomes; Edna Afonso Reis; Renan Pedra de Souza; Emílio Itamar de Freitas Campos; Daniel Dias Ribeiro; Manoel Otávio da Costa Rocha; Maria Auxiliadora Parreiras Martins
Journal:  Pharmacogenomics J       Date:  2019-08-09       Impact factor: 3.550

5.  Systematic review of the evidence on the cost-effectiveness of pharmacogenomics-guided treatment for cardiovascular diseases.

Authors:  Ye Zhu; Kristi M Swanson; Ricardo L Rojas; Zhen Wang; Jennifer L St Sauver; Sue L Visscher; Larry J Prokop; Suzette J Bielinski; Liewei Wang; Richard Weinshilboum; Bijan J Borah
Journal:  Genet Med       Date:  2019-10-08       Impact factor: 8.822

6.  Pharmacogenetic testing for adverse drug reaction prevention: systematic review of economic evaluations and the appraisal of quality matters for clinical practice and implementation.

Authors:  Saowalak Turongkaravee; Jiraphun Jittikoon; Onwipa Rochanathimoke; Kathleen Boyd; Olivia Wu; Usa Chaikledkaew
Journal:  BMC Health Serv Res       Date:  2021-10-02       Impact factor: 2.655

  6 in total

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