Dyslipidemia in patients with chronic kidney disease

Matthew R. Hager, Archana D. Narla, Lisa R. Tannock

Research output: Contribution to journalReview articlepeer-review

145 Scopus citations

Abstract

Chronic kidney disease (CKD) is associated with high risk for cardiovascular disease (CVD). This association is multifactorial, but CKD is often associated with dyslipidemia, which likely contributes. Patients with CKD have dyslipidemia even at early stages of renal dysfunction and dyslipidemia tends to progress with deterioration of kidney function. The dyslipidemia in CKD is largely due to increased triglyceride levels, decreased HDL-C and varying levels of LDL-C. Current management of CKD may also affect lipid levels. Robust clinical trials demonstrate that statins are safe and efficacious in both lipid lowering and prevention of CVD events in pre-end stage CKD and post-transplant. However, there is no evidence of improved CVD outcomes with statin use in dialysis patients. This review will focus on mechanisms underlying dyslipidemia in CKD and clinical trial evidence for lipid lowering therapy in patients with CKD.

Original languageEnglish
Pages (from-to)29-40
Number of pages12
JournalReviews in Endocrine and Metabolic Disorders
Volume18
Issue number1
DOIs
StatePublished - Mar 1 2017

Bibliographical note

Publisher Copyright:
© 2016, Springer Science+Business Media New York (outside the USA).

Funding

This review was supported by grants from the National Institutes of Health RR021954 and Veterans Affairs CX000975.

FundersFunder number
National Institutes of Health (NIH)
National Center for Research ResourcesP20RR021954
U.S. Department of Veterans AffairsCX000975

    Keywords

    • Cardiovascular disease
    • Cholesterol
    • Chronic kidney disease
    • Lipids
    • Renal
    • Statins

    ASJC Scopus subject areas

    • Endocrinology, Diabetes and Metabolism
    • Endocrinology

    Fingerprint

    Dive into the research topics of 'Dyslipidemia in patients with chronic kidney disease'. Together they form a unique fingerprint.

    Cite this