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Algorithms for Treating Dyslipidemia in Youth.

Authors :
Kim GK
Yee JK
Bansal N
Source :
Current atherosclerosis reports [Curr Atheroscler Rep] 2023 Aug; Vol. 25 (8), pp. 495-507. Date of Electronic Publication: 2023 Jul 31.
Publication Year :
2023

Abstract

Purpose of Review: The goal of this article is to review algorithms for treating dyslipidemia in youth, discuss pitfalls, propose enhanced algorithms to address pitfalls, and consider future directions.<br />Recent Findings: The presence of modifiable and non-modifiable cardiovascular disease (CVD) risk factors during childhood is associated with CVD-related events in adulthood. Recent data has shown that childhood initiation of statin therapy in youth < 18 years of age with familial hypercholesterolemia reduces the risk of adult CVD. However, pediatric dyslipidemia remains undertreated in part due to a lack of primary health care providers with adequate understanding of screening guidelines and pediatric lipidologists with experience in treatment and follow-up of this unique population. Management algorithms have been published by the National Heart, Lung, and Blood Institute and American Heart Association as tools to empower clinicians to manage dyslipidemia. We propose enhanced algorithms, which incorporate recently approved pharmacotherapy to address the management gaps. Future algorithms based upon clinical risk scores may enhance treatment and improve outcomes. Algorithms for dyslipidemia management which target youth < 18 years of age are tools which empower clinicians to manage dyslipidemia in this unique population. Enhanced algorithms may help address pitfalls. We acknowledge the need for further risk assessment tools in pediatrics for tailored dyslipidemia management.<br /> (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Details

Language :
English
ISSN :
1534-6242
Volume :
25
Issue :
8
Database :
MEDLINE
Journal :
Current atherosclerosis reports
Publication Type :
Academic Journal
Accession number :
37523052
Full Text :
https://doi.org/10.1007/s11883-023-01122-1