Document Detail


Predicting outcome after emergent cerclage using classification tree analysis.
MedLine Citation:
PMID:  18767009     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We sought to develop a predictive model for gestational age at delivery after placement of an emergent cerclage in the second trimester. Data were obtained for women undergoing emergent cerclage in response to documented cervical change on physical examination at a university hospital between 1980 and 2000. Hierarchically optimal classification tree analysis (CTA) was used to predict delivery prior to 24 weeks, between 24 and 27 6/7 weeks, or after 27 6/7 weeks. One hundred sixteen women were available for analysis. Delivery prior to 24 weeks was best predicted by presence of prolapsed membranes and gestational age at cerclage placement; delivery between 24 and 27 6/7 weeks was best predicted by parity alone; delivery of at least 28 weeks was best predicted by cervical dilation and length, presence of prolapsed membranes, and parity. When choosing a single model to predict delivery at the three different gestational age periods, the last model yielded the most accurate results. CTA can be used to construct a predictive model for outcome after emergent cerclage that may be informative for both patients and physicians.
Authors:
William A Grobman; Mary Faith Terkildsen; Robert C Soltysik; Paul R Yarnold
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Publication Detail:
Type:  Journal Article     Date:  2008-09-02
Journal Detail:
Title:  American journal of perinatology     Volume:  25     ISSN:  1098-8785     ISO Abbreviation:  Am J Perinatol     Publication Date:  2008 Aug 
Date Detail:
Created Date:  2008-09-29     Completed Date:  2009-01-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8405212     Medline TA:  Am J Perinatol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  443-8     Citation Subset:  IM    
Affiliation:
Department of Obstetrics and Gynecology, Feinberg Medical School, Northwestern University, Chicago, Illinois, USA. w-grobman@northwestern.edu
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MeSH Terms
Descriptor/Qualifier:
Adult
Age Factors
Cerclage, Cervical / classification*,  statistics & numerical data*
Delivery, Obstetric / statistics & numerical data*
Female
Gestational Age
Humans
Models, Statistical
Parity
Predictive Value of Tests
Pregnancy
Pregnancy Outcome / epidemiology*
Pregnancy Trimester, Second
Premature Birth / epidemiology
Risk Factors
Ultrasonography, Prenatal
Uterine Cervical Incompetence / classification*,  surgery*,  ultrasonography

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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