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PMID: 42644306 已发表 · aheadofprint 英语

Cost-effectiveness of BRCA1/BRCA2 Variant Reclassification and Recontact for Hereditary Breast and Ovarian Cancer in the United States.

Guzauskas GF, Berger SM, O'Connor R, Kim S, Topper S, Chao E, Horton C, Hoang L, Veenstra DL, Chung WK

摘要

Reclassification of variants of uncertain significance in BRCA1/2 impact clinical management, health outcomes, and healthcare costs, raising questions about cost-effectiveness and optimal timing of reinterpretation. This study evaluated cost-effectiveness of BRCA1/2 variant reclassification strategies and how timing and duration influence outcomes. Using data from two independent commercial genetic testing laboratories, a decision analytic model was developed to simulate lifetime breast and ovarian cancer incidence, quality-adjusted life-years (QALYs), life years, and direct medical costs per 1,000 30-year-old women with prior BRCA1/2 testing. Reclassification strategies were modeled as annual or batches, with perpetual or fixed durations. A data-weighted cost of $200 was applied for reclassification and recontact for impactful reclassifications. Incremental costs were estimated of $63 and $155 per 1,000 women with corresponding QALY gains of 0.0007 and 0.0032, resulting in incremental cost-effectiveness ratios of $86,723 and $48,554 respectively. Most incremental cancer reductions resulted from cascade testing. Batch-based reclassification strategies, particularly 5-year intervals with fixed endpoints, emerged as the most cost-effective. Structured, batch-based reclassification strategies with fixed endpoints are more cost-effective than perpetual schedules. This supports planned reclassification cycles to maximize health benefits and cost-effectiveness, conflicting with research supporting ongoing responsibility for reinterpretation without a defined time limit.

关键词
cost-effectiveness analysis variant reclassification variants of uncertain significance
文献信息
期刊
Genetics in medicine : official journal of the American College of Medical Genetics
期刊简称
Genet Med
ISSN
1530-0366
发表日期
2026-08-26
语言
英语
国家/地区
United States
NLM ID
9815831
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