Disease's type
GDM
Experimental grouping
GDM(n=16),Normal Glucose Tolerance(n=80)
GPT's summary
This study aimed to evaluate the potential of first trimester maternal biomarkers for predicting gestational diabetes mellitus (GDM). Conducted as a case-control study at the Obstetrics and Gynecology Unit, Clinica Davila, Santiago, Chile, the research included women with singleton pregnancies who were enrolled before 14 weeks of gestation. Blood samples were collected, and at 24-28 weeks, women were classified into GDM and control groups based on a 75-g oral glucose tolerance test (OGTT). The study measured various biomarkers, including fasting blood glucose, insulin, cholesterol, lipids, uric acid, liver enzymes, adiponectin, tissue plasminogen activator (t-PA), leptin, and placental growth factor (PGF). Results showed that women who developed GDM had higher levels of cholesterol, triglycerides, insulin, t-PA, LDL, and homeostasis model assessment (HOMA), with significant differences compared to the control group. The receiver operating characteristic (ROC) curve for these biomarkers achieved an area under the curve (AUC) of 0.870, with a sensitivity of 81.4% and specificity of 80%. These findings suggest that specific biomarkers measured in the first trimester may help identify women at risk for GDM, although further validation in a larger cohort is required.
RF's name
Tissue Plasminogen Activator
Sample's type
Plasma
Gestational weeks
11th to 14th gestational weeks
Experiemental methods
ELISA
Machine learning algorithms
Logistic Regression
Title
First trimester prediction of gestational diabetes mellitus using plasma biomarkers: a case-control study
Evidence's type
Risk factor
Year
2019
Journal
Journal of Perinatal Medicine
PMID