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            <title>Latest Articles from Journal of Biomedical and Clinical Research</title>
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		    <title>Clinical algorithms in high-risk pregnancy: Evidence-based and regional perspectives</title>
		    <link>https://jbcr.arphahub.com/article/184929/</link>
		    <description><![CDATA[
					<p>Journal of Biomedical and Clinical Research 19: 107-118</p>
					<p>DOI: 10.3897/jbcr.e184929</p>
					<p>Authors: Ahamed Akkeel Anzaar, Antonia Andreeva, Kamelia Dimitrova</p>
					<p>Abstract: 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&ndash;fetal risk.Conclusion: Clinical algorithms represent a cornerstone of modern high-risk pregnancy management. Integration of regional data enhances applicability without compromising international relevance.</p>
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		    <category>Review Article</category>
		    <pubDate>Mon, 23 Mar 2026 15:43:31 +0000</pubDate>
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