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评估一种拟议的混合模型,以确定唐氏综合征产前筛查中颈项透明层测量值的分布。

Evaluation of a proposed mixture model to specify the distributions of nuchal translucency measurements in antenatal screening for Down's syndrome.

机构信息

Wolfson Institute of Preventive Medicine, Barts and the London Queen Marys School of Medicine and Dentistry, Charterhouse Square, London EC1M 6BQ, UK.

出版信息

J Med Screen. 2010;17(1):13-8. doi: 10.1258/jms.2010.009108.

Abstract

OBJECTIVES

A mixture model of crown-rump length (CRL)-dependent and CRL-independent nuchal translucency (NT) measurements has been proposed for antenatal screening for Down's syndrome. We here compare the efficacy of the mixture model method with the standard method, which uses NT multiple of the median (MoM) values in a single distribution. Settings A routine antenatal screening programme for Down's syndrome comprising 104 affected and 22,284 unaffected pregnancies.

METHODS

The ability of NT to distinguish between affected and unaffected pregnancies was compared using the mixture model method and the standard MoM method by using published distribution parameters for the mixture model of NT and parameters derived from these for the standard MoM method. The accuracy of the two methods was compared for NT and maternal age by comparing the median estimated risk with the prevalence of Down's syndrome in different categories of estimated risk.

RESULTS

Using NT alone observed estimates of discrimination using the two methods are similar; at a 70% detection rate the false-positive rates were 12% using the mixture model method and 10% using the MoM method. Risk estimation was marginally (but not statistically significantly) more accurate using the standard MoM method.

CONCLUSIONS

The mixture model method offers no advantage over the standard MoM method in antenatal screening for Down's syndrome, is more complicated and less generalizable to other data-sets. The standard MoM method remains the method of choice.

摘要

目的

已经提出了一种基于头臀长(CRL)的和与 CRL 无关的颈项透明层(NT)测量的混合模型,用于唐氏综合征的产前筛查。我们在此比较了混合模型方法与标准方法的效果,标准方法使用单一分布中的 NT 倍数中位数(MoM)值。

设置

唐氏综合征的常规产前筛查计划,包括 104 例受影响妊娠和 22284 例未受影响妊娠。

方法

使用已发表的 NT 混合模型分布参数和从这些参数推导出来的用于标准 MoM 方法的参数,通过混合模型方法和标准 MoM 方法比较 NT 区分受影响和未受影响妊娠的能力。通过比较不同估计风险类别的中位数估计风险与唐氏综合征的患病率,比较两种方法在 NT 和母亲年龄方面的准确性。

结果

仅使用 NT,两种方法的观察到的区分估计值相似;在 70%的检测率下,混合模型方法的假阳性率为 12%,MoM 方法为 10%。使用标准 MoM 方法进行风险估计略微(但无统计学意义)更准确。

结论

混合模型方法在唐氏综合征的产前筛查中没有优于标准 MoM 方法,它更复杂,并且在其他数据集上的通用性较差。标准 MoM 方法仍然是首选方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5758/3104819/ddde3d52cae2/JMS-09108-g1.jpg

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