Management of hypertriglyceridemia.


Journal

BMJ (Clinical research ed.)
ISSN: 1756-1833
Titre abrégé: BMJ
Pays: England
ID NLM: 8900488

Informations de publication

Date de publication:
12 10 2020
Historique:
entrez: 13 10 2020
pubmed: 14 10 2020
medline: 23 10 2020
Statut: epublish

Résumé

Hypertriglyceridemia is one of the most common lipid abnormalities encountered in clinical practice. Many monogenic disorders causing severe hypertriglyceridemia have been identified, but in most patients triglyceride elevations result from a combination of multiple genetic variations with small effects and environmental factors. Common secondary causes include obesity, uncontrolled diabetes, alcohol misuse, and various commonly used drugs. Correcting these factors and optimizing lifestyle choices, including dietary modification, is important before starting drug treatment. The goal of drug treatment is to reduce the risk of pancreatitis in patients with severe hypertriglyceridemia and cardiovascular disease in those with moderate hypertriglyceridemia. This review discusses the various genetic and acquired causes of hypertriglyceridemia, as well as current management strategies. Evidence supporting the different drug and non-drug approaches to treating hypertriglyceridemia is examined, and an easy to adopt step-by-step management strategy is presented.

Identifiants

pubmed: 33046451
doi: 10.1136/bmj.m3109
doi:

Substances chimiques

Hypolipidemic Agents 0
Triglycerides 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

m3109

Informations de copyright

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Déclaration de conflit d'intérêts

Competing interests: I have read and understood the BMJ policy on declaration of interests and declare the following interests: none.

Auteurs

Vinaya Simha (V)

Division of Endocrinology, Mayo Clinic, Rochester, MN 55905, USA Simha.aj@mayo.edu.

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Classifications MeSH