Optimal laboratory panel for predicting preeclampsia

Area of Science:

• Obstetrics and Gynecology
• Clinical Chemistry
• Hematology

Background:

• Preeclampsia is a serious pregnancy complication.
• Early prediction of preeclampsia is crucial for maternal and fetal well-being.

Purpose of the Study:

• To evaluate the utility of standard biochemical and hematological markers for predicting preeclampsia in the third trimester.
• To assess the prognostic value of laboratory test panels in preeclampsia prediction.

Main Methods:

• Retrospective study of 113 preeclampsia patients and 95 controls.
• Analysis of various biochemical (e.g., uric acid, urea) and hematological (e.g., thrombocytes, leukocytes) parameters.
• Multivariate logistic regression modeling for prediction accuracy.

Main Results:

• Uric acid and urea correctly classified 79.6% of preeclampsia cases when used in logistic regression.
• Adding thrombocytes, hematocrit, aspartate aminotransferase, and leukocytes improved classification accuracy to 83.8%.

Conclusions:

• Standard biochemical and hematological parameters possess significant prognostic value for preeclampsia prediction.
• A panel of laboratory tests can effectively aid in the early identification of preeclampsia risk.