Prediction model of fetal meconium-stained amniotic fluid in re-pregnant women with intrahepatic cholestasis of pregnancy / 浙江大学学报·医学版
Journal of Zhejiang University. Medical sciences
;
(6): 264-268, 2015.
Article
Dans Chinois
| WPRIM
| ID: wpr-255200
ABSTRACT
<p><b>OBJECTIVE</b>To establish a prediction model of fetal meconium-stained amniotic fluid in re-pregnant women with intrahepatic cholestasis of pregnancy (ICP).</p><p><b>METHODS</b>Clinical data of 180 re-pregnant women with ICP delivering in Women's Hospital, Zhejiang University School of Medicine between January 2009 to August 2014 were collected. An artificial neural network model (ANN) for risk evaluation of fetal meconium-stained fluid was established and assessed.</p><p><b>RESULTS</b>The sensitivity, specificity and accuracy of ANN for predicting fetal meconium-stained fluid were 68.0%, 85.0% and 80.3%, respectively. The risk factors with effect weight >10% were pregnancy complications, serum cholyglycine level,maternal age.</p><p><b>CONCLUSION</b>The established ANN model can be used for predicting fetal meconium-stained amniotic fluid in re-pregnant women with ICP.</p>
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Anatomopathologie
/
Complications de la grossesse
/
Chimie
/
Cholestase intrahépatique
/
Sensibilité et spécificité
/
/
Foetus
/
Liquide amniotique
/
Méconium
Type d'étude:
Etude diagnostique
/
Étude pronostique
Limites du sujet:
Femelle
/
Humains
/
Nouveau-né
/
Grossesse
langue:
Chinois
Texte intégral:
Journal of Zhejiang University. Medical sciences
Année:
2015
Type:
Article
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