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Atherosclerosis ; 393: 117541, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38677159

ABSTRACT

BACKGROUND AND AIMS: Familial hypercholesterolemia is an underdiagnosed genetic metabolic condition limiting the clearance of low-density lipoprotein cholesterol and increasing lifetime risk of cardiovascular disease. Population genetic screening in unselected individuals could quickly identify cases of familial hypercholesterolemia and enable early prevention, but the economic impact of widespread screening on patients has not been studied. METHODS: We assessed the cost-effectiveness of population genetic screening for familial hypercholesterolemia in 20 and 35-year-old adults in the United States from the perspective of patients. We developed a decision tree Markov hybrid model to examine diagnoses, cardiovascular disease, cardiac events, quality of life, and costs under population genetic screening compared to family-based cascade testing. RESULTS: While population genetic screening increased diagnoses and reduced incidence of cardiovascular disease, population genetic screening was not cost-effective compared to cascade testing at current levels of willingness to pay. Lower genetic testing costs, combined screening with other genetic conditions, and support to maintain lipid-lowering therapy use over time could improve the cost-effectiveness of population genetic screening. CONCLUSIONS: Future research is needed to examine how cost-sharing strategies may affect the cost-effectiveness of screening to patients and how families and providers experience the clinical and economic outcomes of population screening.


Subject(s)
Cost-Benefit Analysis , Genetic Testing , Hyperlipoproteinemia Type II , Markov Chains , Humans , Hyperlipoproteinemia Type II/genetics , Hyperlipoproteinemia Type II/diagnosis , Hyperlipoproteinemia Type II/economics , Hyperlipoproteinemia Type II/blood , Genetic Testing/economics , Adult , United States/epidemiology , Male , Female , Young Adult , Genetic Predisposition to Disease , Models, Economic , Decision Trees , Health Care Costs , Quality-Adjusted Life Years , Quality of Life , Predictive Value of Tests , Cardiovascular Diseases/genetics , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/economics , Risk Factors , Biomarkers/blood
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