94
Views
5
CrossRef citations to date
0
Altmetric
Original Article

Limitations of ultrasound in diagnosing intrauterine growth restriction in severe preeclampsia

, , , &
Pages 1039-1044 | Received 08 Feb 2009, Accepted 06 May 2009, Published online: 17 Mar 2010
 

Abstract

Objective. The objective of this study was to determine test characteristics of ultrasound in detecting intrauterine growth restriction (IUGR) in severe preeclampsia (S-PEC).

Study design. We performed a prospective study (2005–2007) to evaluate risk factors for PEC. Women with severe PEC and an ultrasound ≤3 weeks of delivery were enrolled. Chi square analysis determined associations between diagnosis of IUGR and small for gestational age (SGA) birth weight. Multivariable logistic regression was used to control for confounders. Fetal growth rate and test characteristics of ultrasound were calculated.

Results. Ninety-three patients were enrolled. There was a significant association between IUGR and SGA, but no association between maternal demographic factors and IUGR. Test characteristics of ultrasound to diagnose IUGR in severe PEC were: sensitivity 56.7%, specificity 93.7%, PPV 81.0%, NPV 81.9%. The positive likelihood ratio (+LR) for ultrasound to detect IUGR in severe PEC was 8.9.

Conclusion. Current ultrasound practice has moderately good positive and negative predictive values and a high specificity for the diagnosis of IUGR in women with severe PEC. However, the poor sensitivity and low + LR indicate that additional modalities are needed to improve the usefulness of ultrasound in detecting IUGR in severe PEC.

Acknowledgements

The study was partly supported by University of Pennsylvania Research Foundation Grant.

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.