216
Views
5
CrossRef citations to date
0
Altmetric
Short Communication

Pregnancy-associated plasma protein A (PAPP-A) to predict adverse fetal outcomes in Chinese: What is the optimal cutoff value?

, , , , &
Pages 902-903 | Received 14 Jan 2015, Accepted 11 Mar 2016, Published online: 16 May 2016
 

abstract

A low level of PAPP-A predicts adverse fetal outcomes. As Chinese pregnant women have a higher level of PAPP-A, the predictive performance of PAPP-A and its optimal cutoff value might be different. This study aims to establish a PAPP-A cutoff value in the Chinese population that identifies adverse fetal outcomes. We retrospectively analysed 4936 spontaneous singleton pregnancies of Chinese women who underwent first-trimester combined Down’s screening in our unit from March 2010 to January 2014 and had delivery information available. A composite adverse fetal outcome encompassed intrauterine fetal loss (including miscarriages and stillbirths), and live births either before 32 weeks or weighing less than −2 standard deviation (SD) for gestation. The area under the curve of the receiver-operator characteristic curve for prediction of the composite adverse outcome using PAPP-A was 0.626 (95% CI =0.612–0.640, p < 0.0001). PAPP-A ≤ 0.23 multiples of median (MoM) identified 0.6% of Chinese pregnant women to be at significant risk of adverse fetal outcome (positive likelihood ratio 11.2, positive predictive value 21.4%) despite a low sensitivity (5.1%, 95% CI =1.9–10.8). The negative predictive value was high (97.7%). The commonly used cutoff of 0.4 MoM was associated with a positive likelihood ratio of 3.7 only. A prospective study is warranted.

Disclosure statement

The authors report no declaration of interest

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.