Author/Editor		Delić, Ratko; Štefanović, Mario; Krivec, Štefka; Weber, Vladimir
Title		Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia
Type		članek
Vol. and No.		Letnik 27, št. 4
Publication year		2014
Volume		str. 388-392
ISSN		1476-7058 - The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Language		eng
Abstract		Objective: This study was undertaken to investigate the usefulness of angiogenic markers and standard laboratory parameters measurement after 20th week of pregnancy for the individual prediction of preeclampsia (PE). Methods: A prospective designed study included 34 patients with PE and a control group of 35 uncomplicated pregnancies. Patients were recruited from 20th until 41st week of pregnancy at the Department of Obstetrics and Gynecology, General Hospital Celje, Slovenia. PIGF (placental growth factor) , sFlt-1 (soluble fms-like tyrosine kinase 1), erythrocites, leukocytes, platelets, hemoglobin, hematocrit, lactate dehydrogenase, aspartate aminotransferase, alanine aminotransferase, gama-glutamyl transferase, alkaline phosphatase, total bilirubin, urea, creatinine, urate, body mass index, body surface area, parity and age were evaluate to predict the occurence of PE based on multivariate logistic regression model. Results: When parameters such as PIGF, sFlt-1, and urates were included into logistic regression model, we correctly classified 85% patients. With additional two models which also contained anthropometric parameters, we correctly classified 88% and 91% patients, respectively. Conclusion: Our results demonstrated that angiogenic markers and urates individually and particularly when used as laboratory test panel have significant prognostic value in the prediction of PE.
Descriptors		Pre-Eclampsia Preeklampsija Diagnosis Diagnostika