Prediction model of fetal meconium-stained amniotic fluid in re-pregnant women with intrahepatic cholestasis of pregnancy.
- Author:
Ling-fei HE
1
;
Yun ZHAO
1
;
Zheng-ping WANG
1
Author Information
- Publication Type:Journal Article
- MeSH: Amniotic Fluid; chemistry; Cholestasis, Intrahepatic; pathology; Female; Fetus; Humans; Infant, Newborn; Meconium; chemistry; Neural Networks (Computer); Pregnancy; Pregnancy Complications; pathology; Sensitivity and Specificity
- From: Journal of Zhejiang University. Medical sciences 2015;44(3):264-268
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo establish a prediction model of fetal meconium-stained amniotic fluid in re-pregnant women with intrahepatic cholestasis of pregnancy (ICP).
METHODSClinical 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.
RESULTSThe 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.
CONCLUSIONThe established ANN model can be used for predicting fetal meconium-stained amniotic fluid in re-pregnant women with ICP.
