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Cost-effectiveness of population-wide genomic screening for Lynch Syndrome and Polygenic Risk Scores to inform Colorectal Cancer screening.
Jiang, Shangqing; Guzauskas, Gregory F; Garbett, Shawn; Graves, John A; Williams, Marc S; Hao, Jing; Zhu, Jinyi; Jarvik, Gail P; Carlson, Josh J; Peterson, Josh F; Veenstra, David L.
Afiliação
  • Jiang S; The CHOICE Institute, Department of Pharmacy, and Institute for Public Health Genetics, University of Washington, Seattle, WA, USA.
  • Guzauskas GF; The CHOICE Institute, Department of Pharmacy, and Institute for Public Health Genetics, University of Washington, Seattle, WA, USA.
  • Garbett S; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Graves JA; Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Williams MS; Department of Genomic Health, Geisinger, Danville, PA, USA.
  • Hao J; Department of Genomic Health, Geisinger, Danville, PA, USA; Department of Population Health Sciences, Geisinger, Danville, PA, USA.
  • Zhu J; Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Jarvik GP; Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, Seattle, WA, USA.
  • Carlson JJ; The CHOICE Institute, Department of Pharmacy, and Institute for Public Health Genetics, University of Washington, Seattle, WA, USA.
  • Peterson JF; Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Veenstra DL; The CHOICE Institute, Department of Pharmacy, and Institute for Public Health Genetics, University of Washington, Seattle, WA, USA. Electronic address: veenstra@uw.edu.
Genet Med ; : 101285, 2024 Sep 30.
Article em En | MEDLINE | ID: mdl-39360752
ABSTRACT

INTRODUCTION:

Genomic screening to identify individuals with Lynch Syndrome (LS) and those with a high polygenic risk score (PRS) promises to personalize Colorectal Cancer (CRC) screening. Understanding its clinical and economic impact is needed to inform screening guidelines and reimbursement policies.

METHODS:

We developed a Markov model to simulate individuals over a lifetime. We compared LS+PRS genomic screening to standard of care (SOC) for a cohort of US adults at age 30. The Markov model included health states of "no CRC", CRC stages (A-D) and death. We estimated incidence, mortality, and discounted economic outcomes of the population under different interventions.

RESULTS:

Screening 1000 individuals for LS+PRS resulted in 1.36 fewer CRC cases and 0.65 fewer deaths compared to SOC. The incremental cost-effectiveness ratio (ICER) was $124,415 per quality-adjusted life-year (QALY); screening had a 69% probability of being cost-effective using a willingness to pay threshold of $150,000/QALY. Setting the PRS threshold at the 90th percentile of the LS+PRS screening program to define individuals at high risk was most likely to be cost-effective compared to 95th, 85th, and 80th percentiles.

CONCLUSION:

Population-level LS+PRS screening is marginally cost-effective and a threshold of 90th percentile is more likely to be cost-effective than other thresholds.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Genet Med Assunto da revista: GENETICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Genet Med Assunto da revista: GENETICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos