Dyslipidemia, malnutrition, inflammation, cardiovascular disease and mortality in chronic kidney disease

Vasil Peev, Ali Nayer, Gabriel Contreras

Research output: Contribution to journalReview articlepeer-review

36 Scopus citations


Purpose of Review: Dyslipidemia, malnutrition and inflammation are common in patients with chronic kidney disease (CKD) and are strongly associated with cardiovascular disease (CVD) and increased mortality. The epidemiology of dyslipidemia and its interactions with malnutrition and inflammation in CKD patients have been the subject of much interest in the past decade. Recent clinical trials have explored the effects of statins on CVD specifically in CKD patients. RECENT FINDINGS: Whereas the risk relationship between total cholesterol level and CVD morbidity and mortality is direct, strong and progressive in CKD patients without malnutrition and inflammation, it is inconsistent and often paradoxical in those with malnutrition and inflammation. Accumulating evidence demonstrates that statins reduce significantly the risk of CVD in CKD patients before the initiation of dialysis. However, the beneficial effect of statins in CKD patients on dialysis is uncertain. In CKD patients on dialysis, malnutrition and inflammation pose a higher risk for CVD than dyslipidemia. SUMMARY: In CKD patients, the risk of CVD associated to dyslipidemia is complex and is modified by malnutrition and inflammation.

Original languageEnglish (US)
Pages (from-to)54-60
Number of pages7
JournalCurrent Opinion in Lipidology
Issue number1
StatePublished - Feb 1 2014


  • cardiovascular disease
  • chronic kidney disease
  • dyslipidemia
  • inflammation
  • malnutrition

ASJC Scopus subject areas

  • Cell Biology
  • Genetics
  • Molecular Biology
  • Cardiology and Cardiovascular Medicine
  • Endocrinology, Diabetes and Metabolism
  • Nutrition and Dietetics


Dive into the research topics of 'Dyslipidemia, malnutrition, inflammation, cardiovascular disease and mortality in chronic kidney disease'. Together they form a unique fingerprint.

Cite this