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Cost-effectiveness of cascade genetic testing for familial hypercholesterolemia in the United States: A simulation
Candace L Jackson1, Todd Huschka2, Bijan Borah2,3
1Department of Medicine, Mayo Clinic, Rochester, MN, United States.
Insights
Cascade genetic testing for familial hypercholesterolemia (FH) is cost-effective in the U.S. for first-degree relatives before age 40 and second-degree relatives before age 15.
Area of Science:
- Genetics
- Public Health
- Health Economics
Background:
- Familial hypercholesterolemia (FH) is a genetic disorder.
- There is no coordinated cascade testing program for FH in the U.S.
- Cascade genetic testing identifies relatives at risk for FH.
Purpose of the Study:
- To evaluate the cost-effectiveness of cascade genetic testing for relatives of FH probands in the U.S.
- To determine optimal age thresholds for initiating cascade genetic testing.
Main Methods:
- A simulation model of multiple family trees was created.
- The model estimated costs and life years gained (LYG) from cascade genetic testing.
- Testing was evaluated at various age thresholds for relatives of different degrees.
Main Results:
- Cascade testing was cost-effective for first-degree relatives initiated before age 40.
- Testing was cost-effective for second-degree relatives initiated before age 10.
- Testing was not cost-effective for more distant relatives or at older age thresholds.
Conclusions:
- Cascade genetic testing for FH is cost-effective in the U.S. under specific age and relation criteria.
- Initiating testing before age 40 for first-degree and before age 15 for second-degree relatives is recommended.
- Implementation of a coordinated cascade testing program could improve FH management.
Abstract:
Objective There is no coordinated cascade testing program for familial hypercholesterolemia (FH) in the U.S. We evaluated the contemporary cost-effectiveness of cascade genetic testing relatives of FH probands with a pathogenic variant. Methods A simulation model was created to simulate multiple family trees starting with progenitor individuals carrying a pathogenic variant for FH who were followed through several generations. This approach allowed us to examine a family tree that had grown sufficiently to have large numbers of relatives across multiple degrees of relatedness. The model estimated costs and life years gained (LYG) when cascade genetic testing was implemented for relatives of FH probands identified through standard care who were at or older than designated age thresholds (5, 10, 15, 20, 25, 30, 35, 40). Costs were valued in 2018 U.S. dollars. Future costs and LYG projected by the model were discounted at an annual rate of 3%. Results For 1st degree relatives, cascade testing at every age threshold resulted in a positive number of average LYG per person, though this number decreased as testing was started at higher age thresholds. Testing was not cost-effective if initiated at an age threshold of 40 and older but was cost-effective at younger age thresholds, with a discounted cost per LYG per person of less than $50,000. For 2nd degree relatives, testing was cost-effective with a screening age threshold of 10 but no longer cost-effective at a threshold of 15 or higher. In more distant relatives, cascade genetic testing was not beneficial or cost-effective. Conclusions Based on our simulation model, cascade genetic testing for FH in the U.S. is cost-effective if started before age 40 in 1st degree relatives and before age 15 in 2nd degree relatives.
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