Clinical impact and cost-effectiveness of a 176-condition expanded carrier screen.
Where this comes from
- Record sourced from PubMed, PMID 30760891.
- Also identified by DOI 10.1038/s41436-019-0455-8 and PMC identifier 6752320.
- Licence recorded as CC BY-NC-SA.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Carrier screening identifies couples at high risk for conceiving offspring affected with serious heritable conditions. Minimal guidelines recommend offering testing for cystic fibrosis and spinal muscular atrophy, but expanded carrier screening (ECS) assesses hundreds of conditions simultaneously. Although medical societies consider ECS an acceptable practice, the health economics of ECS remain incompletely characterized. Preconception screening was modeled using a decision tree comparing minimal screening and a 176-condition ECS panel. Carrier rates from >60,000 patients, primarily with private insurance, informed disease incidence estimates, while cost and life-years-lost data were aggregated from the literature and a cost-of-care database. Model robustness was evaluated using one-way and probabilistic sensitivity analyses. For every 100,000 pregnancies, 290 are predicted to be affected by ECS-panel conditions, which, on average, increase mortality by 26 undiscounted life-years and individually incur $1,100,000 in lifetime costs. Relative to minimal screening, preconception ECS reduces the affected birth rate and is estimated to be cost-effective (i.e.,<$50,000 incremental cost per life-year), findings robust to perturbation. Based on screened patients predominantly with private coverage, preconception ECS is predicted to reduce the burden of Mendelian disease in a cost-effective manner compared with minimal screening. The data and framework herein may facilitate similar assessments in other cohorts.
Medical subject headings
- Genetic Carrier Screening
- Genetic Diseases, Inborn
- Models, Theoretical
- Prenatal Diagnosis