Document Detail


Development of a prognostic model for predicting spontaneous singleton preterm birth.
MedLine Citation:
PMID:  22824569     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVE: To develop and validate a prognostic model for prediction of spontaneous preterm birth. STUDY DESIGN: Prospective cohort study using data of the nationwide perinatal registry in The Netherlands. We studied 1,524,058 singleton pregnancies between 1999 and 2007. We developed a multiple logistic regression model to estimate the risk of spontaneous preterm birth based on maternal and pregnancy characteristics. We used bootstrapping techniques to internally validate our model. Discrimination (AUC), accuracy (Brier score) and calibration (calibration graphs and Hosmer-Lemeshow C-statistic) were used to assess the model's predictive performance. Our primary outcome measure was spontaneous preterm birth at <37 completed weeks. RESULTS: Spontaneous preterm birth occurred in 57,796 (3.8%) pregnancies. The final model included 13 variables for predicting preterm birth. The predicted probabilities ranged from 0.01 to 0.71 (IQR 0.02-0.04). The model had an area under the receiver operator characteristic curve (AUC) of 0.63 (95% CI 0.63-0.63), the Brier score was 0.04 (95% CI 0.04-0.04) and the Hosmer Lemeshow C-statistic was significant (p<0.0001). The calibration graph showed overprediction at higher values of predicted probability. The positive predictive value was 26% (95% CI 20-33%) for the 0.4 probability cut-off point. CONCLUSIONS: The model's discrimination was fair and it had modest calibration. Previous preterm birth, drug abuse and vaginal bleeding in the first half of pregnancy were the most important predictors for spontaneous preterm birth. Although not applicable in clinical practice yet, this model is a next step towards early prediction of spontaneous preterm birth that enables caregivers to start preventive therapy in women at higher risk.
Authors:
Jelle M Schaaf; Anita C J Ravelli; Ben Willem J Mol; Ameen Abu-Hanna
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-21
Journal Detail:
Title:  European journal of obstetrics, gynecology, and reproductive biology     Volume:  -     ISSN:  1872-7654     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-7-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0375672     Medline TA:  Eur J Obstet Gynecol Reprod Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands; Department of Obstetrics and Gynaecology, Academic Medical Center, Amsterdam, The Netherlands.
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