Key result
Hypothetical PGx testing for ivabradine in chronic HF potentially enables more efficient drug utilization.
Why the study?
Pharmacogenomics tests may improve the effectiveness of expensive drugs by predicting patient response, but their cost-effectiveness in chronic heart failure is unclear.
Is a hypothetical pharmacogenomics test cost-effective for selecting chronic heart failure patients for ivabradine treatment?
Is a hypothetical pharmacogenomics test cost-effective for selecting chronic heart failure patients for ivabradine treatment?
A pharmacoeconomic model suggests that using a pharmacogenomics test to guide ivabradine therapy in chronic heart failure could improve the efficiency of drug utilization.
May support pharmacogenomic-guided ivabradine in HF; hypothesis-generating and requires prospective validation before practice change.
Pharmacogenomics (PGx) tests have the potential of improving the effectiveness of expensive new drugs by predicting the likelihood, for a particular patient, to respond to a treatment. The objective of this study was to develop a pharmacoeconomic model to determine the characteristics and the cost-effectiveness of a hypothetical PGx test, which would identify patients who are most likely to respond to an expensive treatment for chronic heart failure. For this purpose, we chose the example of ivabradine. Our results suggest that the use of a PGx test that could select a subgroup of patients to be treated with an expensive drug has the potential to provide more efficient drug utilization.
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Iliza et al. (2016) studied Chronic Heart Failure. Pharmacogenomics (PGx) test was evaluated on Cost-effectiveness and characteristics of a hypothetical PGx test. A hypothetical pharmacogenomics test to select chronic heart failure patients for ivabradine treatment has the potential to provide more efficient drug utilization.
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