Prevalence and factors associated with liver steatosis as measured by transient elastography with controlled attenuation parameter in HIV-infected patients

AIDS. 2014 Jun 1;28(9):1279-87. doi: 10.1097/QAD.0000000000000248.

Abstract

Objective: To assess the prevalence and factors associated with significant hepatic steatosis (SHS, steatosis involving ≥10% hepatocytes) in HIV-infected patients.

Design: A prospective, cross-sectional study.

Methods: Five hundred and five HIV-infected patients were included in this study. All patients underwent a transient elastography examination with the controlled attenuation parameter (CAP). SHS was defined using the previously identified CAP cut-off of 238 dB/m. We analysed the associations between SHS and demographics, metabolic data, coinfections and drug therapy.

Results: SHS was detected in 201 (40%) patients. Individuals with and without plasma HIV RNA of 50 copies/ml or less presented SHS in 168 (42%) and 33 (31%) cases, respectively (P = 0.030). Patients with SHS compared with those without SHS presented higher median (IQR) BMI [BMI, 25.6 (22.5-28) vs. 22.3 (20.3-24.2) kg/m; P < 10], DBP [79 (72-85) vs. 74 (68-81) mmHg; P = 0.0001], fasting plasma glucose [95 (87-106) vs. 91 (84-97) mg/dl; P = 0.002] and triglycerides [128 (92-189) vs. 109 (80-167) mg/dl; P = 0.002], and lower HDL cholesterol [44 (37-54) vs. 48 (40-59), mg/dl; P = 0.004]. In multivariate analysis, the only factor associated with SHS was BMI [per unit increase, adjusted odds ratio (95% confidence interval) 1.34 (1.22-1-47); P < 10].

Conclusion: SHS measured by CAP is highly prevalent among HIV-infected patients. High BMI is the main predictor of SHS in this setting.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biomarkers
  • Body Mass Index
  • Cross-Sectional Studies
  • Elasticity Imaging Techniques*
  • Fatty Liver / diagnosis
  • Fatty Liver / epidemiology*
  • Fatty Liver / pathology*
  • Female
  • HIV Infections / complications*
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Prospective Studies
  • Risk Factors

Substances

  • Biomarkers