Richard K Sterling1, Wendy C King2, Mandana Khalili3, David E Kleiner4, Amanda S Hinerman2, Mark Sulkowski5, Raymond T Chung6, Mamta K Jain7, M Auricio Lisker-Melman8, David K Wong9, Marc G Ghany4. 1. Section of Hepatology, Virginia Commonwealth University, 1200 E Broad Street, West Hospital, Rm 1478, Richmond, VA, 23298-0341, USA. Richard.sterling@vcuhealth.org. 2. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA. 3. University of California San Francisco, San Francisco, USA. 4. National Institutes of Health, Bethesda, USA. 5. Johns Hopkins University, Baltimore, USA. 6. Massachusetts General Hospital, Boston, USA. 7. UT Southwestern Medical Center, Dallas, USA. 8. Washington University School of Medicine, St. Louis, USA. 9. University Health Network, Toronto, Canada.
Abstract
BACKGROUND: There are limited data on noninvasive methods to identify hepatic steatosis in coexisting hepatitis B virus (HBV) infection. AIMS: To evaluate the diagnostic performance of noninvasive serum-based scores to detect steatosis using two distinct chronic HBV cohorts with liver histology evaluation. METHODS: Chronic HBV cohorts with untreated HBV mono-infection (N = 302) and with treated HBV-HIV (N = 92) were included. Liver histology was scored centrally. Four serum-based scores were calculated: hepatic steatosis index (HSI), nonalcoholic fatty liver disease Liver Fat Score (NAFLD-LFS), visceral adiposity index (VAI), and triglyceride glucose (TyG) index. Optimal cutoffs (highest sensitivity + specificity) to detect ≥ 5% HS, stratified by cohort, were evaluated. RESULTS: HBV-HIV (vs. HBV mono-infected) patients were older (median 50 vs. 43 years), and a higher proportion were male (92% vs. 60%), were black (51% vs. 8%), had the metabolic syndrome (41% vs. 25%), and suppressed HBV DNA (< 1000 IU/mL; 82% vs. 9%). Applying optimal cutoffs, the area under the receiver operator curve for detecting ≥ 5% steatosis in HBV-only and HBV-HIV, respectively, was 0.69 and 0.61 for HSI, 0.70 and 0.76 for NAFLD-LFS, 0.68 and 0.64 for TyG, and 0.68 and 0.69 for VAI. The accuracy of optimal cutoffs ranged from 61% (NAFLD-LFS) to 67% (TyG) among HBV-only and 56% (HSI) to 76% (NAFLD-LFS) among HBV-HIV. Negative predictive values were higher than positive predictive values for all scores in both groups. CONCLUSION: The relative utility of scores to identify steatosis in chronic HBV differs by co-infection/anti-HBV medication status. However, even with population-specific cutoffs, several common serum-based scores have only moderate utility. ClinicalTrials.gov NCT01924455.
BACKGROUND: There are limited data on noninvasive methods to identify hepatic steatosis in coexisting hepatitis B virus (HBV) infection. AIMS: To evaluate the diagnostic performance of noninvasive serum-based scores to detect steatosis using two distinct chronic HBV cohorts with liver histology evaluation. METHODS: Chronic HBV cohorts with untreated HBV mono-infection (N = 302) and with treated HBV-HIV (N = 92) were included. Liver histology was scored centrally. Four serum-based scores were calculated: hepatic steatosis index (HSI), nonalcoholic fatty liver disease Liver Fat Score (NAFLD-LFS), visceral adiposity index (VAI), and triglyceride glucose (TyG) index. Optimal cutoffs (highest sensitivity + specificity) to detect ≥ 5% HS, stratified by cohort, were evaluated. RESULTS: HBV-HIV (vs. HBV mono-infected) patients were older (median 50 vs. 43 years), and a higher proportion were male (92% vs. 60%), were black (51% vs. 8%), had the metabolic syndrome (41% vs. 25%), and suppressed HBV DNA (< 1000 IU/mL; 82% vs. 9%). Applying optimal cutoffs, the area under the receiver operator curve for detecting ≥ 5% steatosis in HBV-only and HBV-HIV, respectively, was 0.69 and 0.61 for HSI, 0.70 and 0.76 for NAFLD-LFS, 0.68 and 0.64 for TyG, and 0.68 and 0.69 for VAI. The accuracy of optimal cutoffs ranged from 61% (NAFLD-LFS) to 67% (TyG) among HBV-only and 56% (HSI) to 76% (NAFLD-LFS) among HBV-HIV. Negative predictive values were higher than positive predictive values for all scores in both groups. CONCLUSION: The relative utility of scores to identify steatosis in chronic HBV differs by co-infection/anti-HBV medication status. However, even with population-specific cutoffs, several common serum-based scores have only moderate utility. ClinicalTrials.gov NCT01924455.
Authors: Mohammad S Siddiqui; Raj Vuppalanchi; Mark L Van Natta; Erin Hallinan; Kris V Kowdley; Manal Abdelmalek; Brent A Neuschwander-Tetri; Rohit Loomba; Srinivasan Dasarathy; Danielle Brandman; Edward Doo; James A Tonascia; David E Kleiner; Naga Chalasani; Arun J Sanyal Journal: Clin Gastroenterol Hepatol Date: 2018-04-26 Impact factor: 11.382