Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Jun;206(6):493.e1-8.
doi: 10.1016/j.ajog.2012.03.025. Epub 2012 Mar 29.

Clustering of maternal-fetal clinical conditions and outcomes and placental lesions

Affiliations

Clustering of maternal-fetal clinical conditions and outcomes and placental lesions

Jerzy Stanek et al. Am J Obstet Gynecol. 2012 Jun.

Abstract

Objective: To identify by an inductive statistical analysis mutually similar and clinically relevant clinicoplacental clusters.

Study design: Twenty-nine maternofetal and 49 placental variables have been retrospectively analyzed in a 3382 case clinicoplacental database using a hierarchical agglomerative Ward dendrogram and multidimensional scaling.

Results: The exploratory cluster analysis identified 9 clinicoplacental (macerated stillbirth, fetal growth restriction, placenta creta, acute fetal distress, uterine hypoxia, severe ascending infection, placental abruption, and mixed etiology [2 clusters]), 5 purely placental (regressive placental changes, excessive extravillous trophoblasts, placental hydrops, fetal thrombotic vasculopathy, stem obliterative endarteritis), and 1 purely clinical (fetal congenital malformations) statistically significant clusters/subclusters. The clusters of such variables like clinical umbilical cord compromise, preuterine and postuterine hypoxia, gross umbilical cord or gross chorionic disk abnormalities did not reveal statistically significant stability.

Conclusion: Although clinical usefulness of several well-established placental lesions has been confirmed, claims about high predictability of others have not.

PubMed Disclaimer

Similar articles

Cited by

Publication types