title: Cost-effectiveness analysis of prenatal population-based fragile X carrier screening.
abstract: OBJECTIVE
  To investigate the cost-effectiveness of a widespread prenatal population-based fragile X carrier screening program.
  
  
  METHODS
  A decision tree was designed comparing screening versus not screening for the fragile X mental retardation protein 1 premutation in all pregnant women. Baseline values included a prevalence of fragile X mental retardation protein 1 premutations of 3.3 per 1000, a premutation expansion rate of 11.3%, and a 99% sensitivity of the screening test. The cost of the screening test was varied from 75 US dollars to 300 US dollars. A sensitivity analysis of the probabilities, utilities, and costs was performed.
  
  
  RESULTS
  The screening strategy would lead to the identification of 80% of the fetuses affected by fragile X annually. Assuming the cost of 95 US dollars per test and only one child, the program would be cost effective at 14,858 US dollars per quality-adjusted life-year. The screening strategy remained cost effective up to 140 US dollars per test and 1 child per woman or for 2 children per woman up to a cost of 281 US dollars per test.
  
  
  CONCLUSIONS
  Population-based screening for the fragile X premutation may be both clinically desirable and cost effective. Prospective pilot studies of this screening modality are needed in the prenatal setting.
authors.affiliation: Department of Obstetrics and Gynecology, California Pacific Medical Center, San Francisco, USA.
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Musci
authors.forename: Aaron B
authors.initials: AB
authors.lastname: Caughey
mesh_terms: D003362:Cost-Benefit Analysis; D003663:Decision Trees; D005260:Female; D005600:Fragile X Syndrome / Q000175:diagnosis* / Q000191:economics* / Q000453:epidemiology / Q000235:genetics / Q000473:pathology; D005820:Genetic Testing / Q000191:economics* / Q000706:statistics & numerical data; D006801:Humans; D011247:Pregnancy; D011296:Prenatal Diagnosis / Q000191:economics* / Q000706:statistics & numerical data; D015995:Prevalence; D019057:Quality-Adjusted Life Years; D014481:United States / Q000453:epidemiology