Ahamed Akkeel Anzaar‡, Antonia Andreeva§, Kamelia Dimitrova§Corresponding author: Ahamed Akkeel Anzaar ( akzanz01@gmail.com ) Academic editor: Galya Stavreva © Ahamed Akkeel Anzaar, Antonia Andreeva, Kamelia Dimitrova. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Anzaar AA, Andreeva A, Dimitrova K (2026) Clinical algorithms in high-risk pregnancy: Evidence-based and regional perspectives. Journal of Biomedical and Clinical Research 19: 107-118. https://doi.org/10.3897/jbcr.e184929 |  |
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.