首页> 外文会议>International Symposium on Biological and Medical Data Analysis(ISBMDA 2004); 20041118-19; Barcelona(ES) >Bayesian Prediction of Down Syndrome Based on Maternal Age and Four Serum Markers
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Bayesian Prediction of Down Syndrome Based on Maternal Age and Four Serum Markers

机译:基于母亲年龄和四个血清标志物的唐氏综合症贝叶斯预测

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摘要

Screening tests have been designed to identify women at increased risk of having a Down syndrome pregnancy. These tests have no risks of miscarriage, but they are not able to determine with certainty whether a fetus is affected. Diagnostic tests such as amniocentesis, on the other hand, are extremely accurate at identifying abnormalities in the fetus, but carry some risk of miscarriage, making it inappropriate to examine every pregnancy in this way. Muller et al.(1999), compares six software packages that calculate Ds risk, concluding that substantial variations are observed among them. In this paper, we provide a Bayesian reanalysis of the current quadruple screening test, based on maternal age and four serum markers (afp, uE3, hCG and DIA), which suggests the need to reevaluate more carefully actual recomendations.
机译:筛查测试旨在确定患有唐氏综合症妊娠风险增加的妇女。这些检查没有流产的风险,但不能确定胎儿是否受到影响。另一方面,羊膜穿刺术等诊断测试在识别胎儿异常方面非常准确,但存在流产的风险,因此不宜以这种方式检查每次妊娠。 Muller等人(1999年)比较了六个计算Ds风险的软件包,得出结论认为它们之间存在很大差异。在本文中,我们基于产妇年龄和四个血清标志物(afp,uE3,hCG和DIA)对当前的四重筛查测试进行了贝叶斯再分析,这表明需要更仔细地重新评估实际推荐。

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