Algorithms for Treating Dyslipidemia in Youth.
Curr Atheroscler Rep
; 25(8): 495-507, 2023 08.
Article
en En
| MEDLINE
| ID: mdl-37523052
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. 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.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Enfermedades Cardiovasculares
/
Dislipidemias
/
Hiperlipoproteinemia Tipo II
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
/
Guideline
/
Risk_factors_studies
Límite:
Adolescent
/
Adult
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Child
/
Humans
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Curr Atheroscler Rep
Asunto de la revista:
ANGIOLOGIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Estados Unidos