o:34423 Biochemical Markers in the Prediction of Pregnancy Outcome in Gestational Diabetes Mellitus Biohemijski markeri u predikciji ishoda trudnoće opterećene gestacijskim dijabetesom en ABSTRACT Background and Objectives: Gestational diabetes mellitus (GDM) may impact both maternal and fetal/neonatal health. The identification of prognostic indicators for GDM may improve risk assessment and selection of patient for intensive monitoring. The aim of this study was to find potential predictors of adverse pregnancy outcome in GDM and normoglycemic patients by comparing the levels of different biochemical parameters and the values of blood cell count (BCC) between GDM and normoglycemic patients and between patients with adverse and good outcome. Materials and Methods: Prospective clinical study included 49 patients with GDM (study group) and 44 healthy pregnant women (control group) who underwent oral glucose tolerance test (OGTT) at gestational age of 24–28 weeks. At the time of OGTT peripheral blood was taken for the determination of glucose levels, insulin, glycated hemoglobin, lipid status, homeostatic model assessment, BCC, iron and zinc metabolism, liver function, kidney function and inflammatory status. Each group was divided into two subgroups—normal and poor pregnancy outcome. Results: Higher RBC, hemoglobin concentration, hematocrit value, fasting glucose, uric acid and fibrinogen were found in GDM patients compared to control group. In GDM patients with poor pregnancy outcome values of fibrinogen, ALT, sedimentation rate, granulocyte and total leukocyte counts were elevated, while the serum level of zinc was significantly lower. Higher level of fibrinogen was found in normoglycemic patients with adverse pregnancy outcomes. ROC curve was constructed in order to assess fibrinogen’s biomarker potential. The established AUC value for diagnostic ROC was 0.816 (p < 0.001, 95% CI 0.691–0.941), while the AUC value for assessing fibrinogen’s potential to predict poor pregnancy outcome in GDM was 0.751 (p = 0.0096, 95% CI 0.561–0.941). Conclusions: The results of our study demonstrated that the best prognostic potential in GDM showed inflammation related parameters, identifying fibrinogen as a parameter with both diagnostic and prognostic ability. gestational diabetes mellitus; pregnancy outcome; biochemical markers; inflammation parameters; fibrinogen 1552099 10.3390/medicina60081250 2024-08-13T08:17:47.374Z 44 yes 46 Vesna Mandić-Marković Faculty of Medicine, University of Belgrade, Belgrade, Serbia Zorana Dobrijević University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia doktor nauka-biološke nauke person 0000-0002-4652-7719 Dragana Robajac University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia doktor bioloških nauka person 0000-0002-6423-4645 Goran Miljuš University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia doktor biohemijskih nauka person 0000-0001-6417-8711 Miloš Šunderić University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia doktor biohemijskih nauka person 0000-0002-0940-9481 Ana Penezić University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia doktor biohemijskih nauka person 0000-0002-2539-4507 Olgica Nedić University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia doktor biohemijskih nauka person 0000-0003-2042-0056 Danijela Ardalić Department for High-Risk Pregnancies, University Clinic for Gynecology and Obstetrics “Narodni Front”, Belgrade, Serbia person Željko Miković Faculty of Medicine, University of Belgrade, Belgrade, Serbia person Ognjen Radojičić Department for High-Risk Pregnancies, University Clinic for Gynecology and Obstetrics “Narodni Front”, Belgrade, Serbia person Milica Mandić Department for High-Risk Pregnancies, University Clinic for Gynecology and Obstetrics “Narodni Front”, Belgrade, Serbia person Jelena Mitrović Department for High-Risk Pregnancies, University Clinic for Gynecology and Obstetrics “Narodni Front”, Belgrade, Serbia person application/pdf 1507529 https://phaidrabg.bg.ac.rs/o:34423 no yes 16 70 92000001 11A32 11A29 11A2905 Medicina 60 8 1250 MDPI 2024