Statistical Regression Model of Standard and New Laboratory Markers in Prediction of Preeclampsia

Delić, Ratko (2012) Statistical Regression Model of Standard and New Laboratory Markers in Prediction of Preeclampsia. Doctoral thesis, Faculty of Science > Department of Biology.

[img] PDF
Restricted to Registered users only
Language: Croatian

Download (2MB) | Request a copy


Preeclampsia is a leading cause of maternal and neonatal morbidity and mortality and is difficult to predict with available clinical tests. The aim of this research was to investigate the predictive potential of standard biochemical, hematological and anthropometric parameters together with new angiogenic markers in prediction of preeclampsia through two studies: first, retrospective by employing standard laboratory parameters at third trimester of pregnancy and second prospective study with new angiogenic markers (PlGF, sFlt-1) after 20 weeks of pregnancy. In the first study (113 patients with preeclampsia and a control group of 95 uncomplicated pregnancies) by the use of multivariate logistic regression model with uric acid and BUN included, 79.6% patients were classified correctly. By adding thrombocytes, hematocrit, AST and leukocytes to this model, 83.8% of participants were correctly classified. In the second study (34 patients with preeclampsia and 35 patients with uncomplicated pregnancy) the same parameters were analysed and evaluated with the addition of new angiogenic markers. It elevated the percentage of pregnancies correctly classified in basic model (uric acid, PlGF, sFlt-1) to 85.07%, in a model with addition of body mass index before childbirth up to 88.06%, and in a model with addition of body surface area to 91.4%, respectively. Results of an optimal laboratory panel composed of selected standard laboratory parameters confirm high predictive potential in preeclampsia prediction in third trimester. New angiogenic markers appeared to be superior to standard parameters and shift prediction potential of preeclampsia to lower gestational age.

Item Type: Thesis (Doctoral thesis)
Keywords: preeclampsia, prediction, biochemical and hematological parameters, angiogenic markers
Supervisor: Štefanović, Mario
Date: 2012
Number of Pages: 125
Subjects: BIOMEDICINE AND HEALTH CARE > Clinical Medical Sciences
Divisions: Faculty of Science > Department of Biology
Depositing User: Grozdana Sirotic
Date Deposited: 10 Feb 2014 14:22
Last Modified: 19 Sep 2014 09:38

Actions (login required)

View Item View Item

Nema podataka za dohvacanje citata