135
Views
3
CrossRef citations to date
0
Altmetric
OBSTETRICS

A 1st-trimester combined screening test in pregnant women of advanced maternal age in a Chinese population

, , , , &
Pages 121-124 | Published online: 24 Jul 2014
 

Abstract

The purpose of this study was to evaluate the performance of the 1st-trimester combined screening test for trisomy 21 in different maternal age groups in a Chinese population. In this retrospective study, data on the 1st-trimester combined screening test (maternal age, fetal nuchal translucency, free β-human chorionic gonadotrophin, pregnancy-associated plasma protein-A) were analysed. The study population of 17,556 pregnant women was subdivided into three groups according to maternal age: 16,113 were < 35 years of age; 1,228 were 35–39 years of age; and 215 were ≥ 40 years of age. The detection and false-positive rates of the 1st-trimester screening test for trisomy 21 or trisomy 18 in the three groups of women were 89.5 and 1.7%; 90.9 and 6.8%; and 100 and 22.3%, respectively. With increasing maternal age, the odds of being affected given a positive result (OAPR) were increased. The balance between the detection rate and false-positive rate of the 1st-trimester combined screening test is more favourable in women < 36 years with comparable OAPR. Although the false-positive rate increases with increasing maternal age, the performance of the 1st-trimester combined screening test in women ≥ 35 years is more effective than screening based on maternal age alone.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.