AIM: To identify the clinical and economic circumstances under which a pharmacogenomic test that predicts response to inhaled corticosteroids might be a cost-effective option for individuals with asthma. MATERIALS & METHODS: We synthesized published data on clinical and economic outcomes to project 10-year costs, quality-adjusted life-years and cost-effectiveness of pharmacogenomic testing for inhaled corticosteroid response. We assumed the pharmacogenomic test cost was $500 with a sensitivity and specificity of 84 and 98%, respectively. These were varied in sensitivity analyses. RESULTS: Both strategies, pharmacogenomic testing for inhaled corticosteroid response and no testing conferred 7.1 quality-adjusted life-years. Compared with no testing, pharmacogenomic testing costs less. CONCLUSION: Pharmacogenomic testing for asthma is cost-saving and noninferior in improving health. Original submitted 19 November 2014; Revision submitted 23 February 2015.
AIM: To identify the clinical and economic circumstances under which a pharmacogenomic test that predicts response to inhaled corticosteroids might be a cost-effective option for individuals with asthma. MATERIALS & METHODS: We synthesized published data on clinical and economic outcomes to project 10-year costs, quality-adjusted life-years and cost-effectiveness of pharmacogenomic testing for inhaled corticosteroid response. We assumed the pharmacogenomic test cost was $500 with a sensitivity and specificity of 84 and 98%, respectively. These were varied in sensitivity analyses. RESULTS: Both strategies, pharmacogenomic testing for inhaled corticosteroid response and no testing conferred 7.1 quality-adjusted life-years. Compared with no testing, pharmacogenomic testing costs less. CONCLUSION: Pharmacogenomic testing for asthma is cost-saving and noninferior in improving health. Original submitted 19 November 2014; Revision submitted 23 February 2015.
Entities:
Keywords:
asthma; cost–effectiveness; inhaled corticosteroids; pharmacogenomics; predictive test
Authors: A D Paltiel; A L Fuhlbrigge; B T Kitch; B Liljas; S T Weiss; P J Neumann; K M Kuntz Journal: J Allergy Clin Immunol Date: 2001-07 Impact factor: 10.793
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