Prediction and Prophylaxis of Preeclampsia: An Expert Review

Preeclampsia remains one of the leading causes of global maternal and perinatal morbidity and mortality. This review aims to provide a comprehensive, up-to-date synthesis of the current evidence on prediction and prophylaxis strategies for preeclampsia. It particularly emphasizes the role of mean arterial pressure and combined screening models. A comprehensive literature review was conducted using PubMed and other relevant databases, focusing on studies published over the last two decades. Predictive approaches were evaluated, including maternal risk factors, biochemical markers, uterine artery Doppler scan, and mean arterial pressure. The review also discusses prophylactic interventions such as low-dose aspirin and calcium supplementation. Results from recent multicenter trials highlight the value of integrating maternal history with mean arterial pressure and biochemical markers. This approach improves screening performance in early pregnancy. This review underscores the importance of early risk stratification and timely initiation of preventive strategies to reduce the burden of preeclampsia. Its original value lies in presenting a concise, evidence-based update for clinical practice by integrating current guidelines with recent trial outcomes.

Authors

Institutions

Publication Details

Journal
Gynecology Obstetrics and Reproductive Medicine
Published
2025-12-22
DOI
https://doi.org/10.21613/gorm.2025.1638
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction and Prophylaxis of Preeclampsia: An Expert Review

Özge Özdemir, Ali Ergün, Riza Madazli, Inanc Mendilcioglu
Gynecology Obstetrics and Reproductive Medicine
Pregnancy and preeclampsia studies
article

Prediction and Prophylaxis of Preeclampsia: An Expert Review

Özge Özdemir, Ali Ergün, Riza Madazli, Inanc Mendilcioglu
article en

Abstract

Preeclampsia remains one of the leading causes of global maternal and perinatal morbidity and mortality. This review aims to provide a comprehensive, up-to-date synthesis of the current evidence on prediction and prophylaxis strategies for preeclampsia. It particularly emphasizes the role of mean arterial pressure and combined screening models. A comprehensive literature review was conducted using PubMed and other relevant databases, focusing on studies published over the last two decades. Predictive approaches were evaluated, including maternal risk factors, biochemical markers, uterine artery Doppler scan, and mean arterial pressure. The review also discusses prophylactic interventions such as low-dose aspirin and calcium supplementation. Results from recent multicenter trials highlight the value of integrating maternal history with mean arterial pressure and biochemical markers. This approach improves screening performance in early pregnancy. This review underscores the importance of early risk stratification and timely initiation of preventive strategies to reduce the burden of preeclampsia. Its original value lies in presenting a concise, evidence-based update for clinical practice by integrating current guidelines with recent trial outcomes.

Gynecology Obstetrics and Reproductive Medicine
Ankara University (TR), Akdeniz University (TR), Istanbul University-Cerrahpaşa (TR), Sağlık Bilimleri Üniversitesi (TR), Okmeydanı Eğitim ve Araştırma Hastanesi (TR), University of Health Sciences Antigua (AG)
Good health and well-being
Openalex Percentile: Top 27%
Pregnancy and preeclampsia studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.