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Abstract

A Comparison of the Liver Fat Score and CT Liver-to-Spleen Ratio as Predictors of Fatty Liver Disease by HIV Serostatus

Background and Aim: Non-alcoholic fatty liver disease (NAFLD) is common among HIV-infected (HIV+) adults. The Liver Fat Score (LFS) is a non-invasive, rapid, inexpensive diagnostic tool that uses routine clinical data and is validated against biopsy in HIV-uninfected (HIV-) persons. CT liver-to-spleen (L/S) attenuation ratio is another validated method to diagnose NAFLD. We compared NAFLD prevalence using the LFS versus L/S ratio among Multicenter AIDS Cohort Study participants to assess the LFS’s performance in HIV+vs. HIV-men.
Methods: In a cross-sectional analysis of men reporting<3 alcoholic drinks daily (308 HIV+, 218 HIV-), Spearman correlations determined relationships between LFS and L/S ratio by HIV serostatus. Multivariable regression determined factors associated with discordance in LFSand L/S ratio-defined NAFLD prevalence.
Results: NAFLD prevalence by LFS and L/S ratio were 28%/15% for HIV+men and 20%/19% for HIV-men, respectively. Correlations between LFS and L/S ratio were weaker among HIV+than HIV-men, but improved with increasing BMI and exclusion of HCV-infected men. LFS and L/S ratio discordance occurred more frequently and across BMI strata among HIV+men, but predominantly at BMI<30 kg/m2 among HIV-men. In multivariate analysis, only lower total testosterone levels were significantly associated with discordance.
Conclusion: NAFLD prevalence was similar by LFS and L/S ratio identification among HIV-men, but dissimilar and with frequent discordance between the two tests among HIV+men. As discordance may be multifactorial, biopsy data are needed to determine the best non-invasive diagnostic test for NAFLD in HIV+persons.
 


Author(s): Lauren E Mellor-Crummey, Jordan E Lake, Holly Wilhalme, Chi-Hong Tseng, Philip M Grant, Kristine M Erlandson, Jennifer C Price, Frank J Palella Jr, Larry A Kingsley, Matthew Budoff, Wendy S Post and Todd T Brown

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Abstracted/Indexed in

  • China National Knowledge Infrastructure (CNKI)
  • Cosmos IF
  • Secret Search Engine Labs