sFlt-1, Coagulation Function, and Platelets as Predictors of Preeclampsia.

Area of Science:

• Obstetrics and Gynecology
• Clinical Chemistry
• Hematology

Background:

• Preeclampsia (PE) is a serious pregnancy complication.
• Early prediction of PE is crucial for maternal and fetal outcomes.
• Biomarkers like soluble FMS-like tyrosine kinase-1 (sFlt-1) and coagulation/platelet parameters are potential predictors.

Purpose of the Study:

• To evaluate the predictive value of sFlt-1, coagulation function, and platelet (PLT) parameters for preeclampsia (PE).
• To identify the optimal combination of markers for enhanced PE prediction.

Main Methods:

• Prospective study involving pregnant women from October 2020 to December 2021.
• Serum samples collected at 24-28 weeks gestation for sFlt-1 analysis (ELISA).
• Coagulation (D-dimer, APTT, TT, PT, ATIII, fibrinogen) and PLT (PLT, PDW, MPV) parameters assessed; statistical analysis using SPSS, ROC curves.

Main Results:

• Significant differences in sFlt-1, APTT, TT, ATIII, PLT, MPV, and PDW between PE and healthy pregnant (HP) groups (P < 0.05).
• sFlt-1 showed the highest predictive value as a single marker (AUC 0.854-0.875).
• Combination of sFlt-1, APTT, TT, PDW, and MPV achieved the highest predictive value (AUC 0.946, sensitivity 86.8%, specificity 87.5%).

Conclusions:

• A combination of sFlt-1, activated partial thromboplastin time (APTT), thrombin time (TT), platelet distribution width (PDW), and mean platelet volume (MPV) significantly enhances PE prediction.
• This multi-marker panel offers a valuable tool for early and accurate detection of preeclampsia.