title: Optimal laboratory panel for predicting preeclampsia.
abstract: OBJECTIVE
  This study was undertaken to investigate the usefulness of standard biochemical and hematological parameters measurement at third trimester of pregnancy for the individual prediction of preeclampsia.
  
  
  METHODS
  A retrospective designed study included 113 patients with preeclampsia and a control group of 95 normal, uncomplicated pregnancies. Patients were recruited in the third trimester of pregnancy at the Department of Gynecology and Obstetrics, General Hospital Celje, Slovenia, EU. Erythrocytes, leukocytes, thrombocytes, hemoglobin, hematocrit, aspartate aminotransferase, alanine aminotransferase, gamma-glutamyl transferase, alkaline phosphatase, total bilirubin, urea, creatinine, uric acid, body mass index, parity, and age were evaluated to predict the occurrence of preeclampsia based on multivariate logistic regression model.
  
  
  RESULTS
  When parameters such as uric acid and urea were included into logistic regression model, we correctly classified 79.6% patients. With additional four parameters (thrombocytes, hematocrit, aspartate aminotransferase and leukocytes) we correctly classified 83.8% patients with preeclampsia.
  
  
  CONCLUSIONS
  Our findings confirmed that several standard biochemical and hematological parameters, when used as laboratory test panel have significant prognostic value in the prediction of preeclampsia.
authors: Department of Obstetrics & Gynecology, General Hospital, Celje, Slovenia. rdelic@gmail.com
authors: Ratko
authors: R
authors: Delić
authors: Mario
authors: M
authors: Stefanović
mesh_terms: D001219:Aspartate Aminotransferases / Q000097:blood; D015415:Biomarkers / Q000097:blood*; D003404:Creatinine / Q000097:blood; D005260:Female; D006400:Hematocrit; D006801:Humans; D007958:Leukocyte Count; D015999:Multivariate Analysis; D010976:Platelet Count; D011225:Pre-Eclampsia / Q000097:blood / Q000175:diagnosis*; D011247:Pregnancy; D011263:Pregnancy Trimester, Third; D012372:ROC Curve; D012044:Regression Analysis; D012189:Retrospective Studies; D014508:Urea / Q000097:blood; D014527:Uric Acid / Q000097:blood
chemical_list: D015415:Biomarkers; D014527:Uric Acid; D014508:Urea; D003404:Creatinine; D001219:Aspartate Aminotransferases