Clinical algorithms in high-risk pregnancy: Evidence-based and regional perspectives

Objective : To summarize contemporary clinical algorithms for the management of high-risk pregnancy and to integrate international recommendations with regional clinical experience. Methods : Narrative review of international guidelines (ACOG, FIGO, NICE, WHO) and peer-reviewed literature, including data from Bulgarian obstetric practice. Results : Algorithm-based management improves early risk stratification, standardizes care, and supports individualized decision-making in hypertensive disorders, gestational diabetes, fetal growth abnormalities, and combined maternal–fetal risk. Conclusion : Clinical algorithms represent a cornerstone of modern high-risk pregnancy management. Integration of regional data enhances applicability without compromising international relevance.