Prevalence and Predictors of Metabolic Syndrome After Liver Transplantation

Transplant Proc. 2016 Sep;48(7):2519-2524. doi: 10.1016/j.transproceed.2016.08.029.

Abstract

Background: The development of metabolic syndrome (MS) after liver transplantation (LT) is a major source of mortality derived from cardiovascular events. The aim of the present study was to determine the prevalence and risk factors of MS after LT.

Methods: One-hundred seventy-four consecutive LT patients from January 2004 to June 2010 surviving longer than 1 year after LT were included. Median follow-up after LT was 48 months. Independent predictors of MS were obtained by means of multivariate logistic regression.

Results: At 3 years after LT, 25.5% of patients reached a body mass index (BMI) ≥30 kg/m2, 35.6% of patients developed arterial hypertension, 54.2% showed impaired fasting glucose, 22.5% had serum cholesterol >200 mg/dL, and 22.5% showed hypertriglyceridemia >150 mg/dL. The prevalence of MS ranged from 49% to 86% depending on the considered period. The pre-LT variables associated with MS were age at LT (odds ratio [OR], 1.08; P = .002), BMI of recipient before LT (OR, 1.23; P = .001), serum glucose (OR, 1.02; P = .005), and non-heart-beating donor (OR, 1.02; P = .046). The post-LT predictors of MS were body weight (OR, 1.04; P = .005), arterial hypertension (OR, 1.02; P = .047), and serum glucose (OR, 1.02; P = .011) at 6 months.

Conclusions: LT patients develop MS in a high proportion and progressively despite current efforts (ie, lifestyle modifications and aggressive management of hypertension, diabetes, and hyperlipidemia). The associated risk factors include age, increased BMI, and pre- and post-LT glucose.

MeSH terms

  • Adult
  • Body Mass Index
  • Diabetes Mellitus
  • Female
  • Humans
  • Hyperlipidemias / complications
  • Hypertension / complications
  • Liver Transplantation / adverse effects*
  • Logistic Models
  • Male
  • Metabolic Syndrome / epidemiology*
  • Middle Aged
  • Odds Ratio
  • Prevalence
  • Risk Factors