Skip to main content
Journal cover image

Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration.

Publication ,  Journal Article
Patel, YA; Gifford, EJ; Glass, LM; Turner, MJ; Han, B; Moylan, CA; Choi, S; Suzuki, A; Provenzale, D; Hunt, CM
Published in: Dig Dis Sci
September 2018

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. Severe NAFLD with advanced fibrosis results in substantial morbidity and mortality. Associated with metabolic syndrome, NAFLD is often initially clinically silent, yet intensive lifestyle intervention with 7% or greater weight loss can improve or resolve NAFLD. Using a Veterans Health Administration (VHA) liver biopsy cohort, we evaluated simple noninvasive fibrosis scoring systems to identify NAFLD with advanced fibrosis (or severe disease) to assist providers. METHODS: In our retrospective study of a national VHA sample of patients with biopsy-proven NAFLD or normal liver (2005-2015), we segregated patients by fibrosis stage (0-4). Non-NAFLD liver disease was excluded. We evaluated the diagnostic accuracy of the NAFLD fibrosis score (NFS), fibrosis-4 calculator (FIB-4), aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT ratio), AST-to-platelet ratio index (APRI), and body mass index, AST/ALT ratio, and diabetes (BARD) score by age groups. RESULTS: We included 329 patients with well-defined liver histology (296 NAFLD and 33 normal controls without fibrosis), in which 92 (28%) had advanced (stage 3-4) fibrosis. Across all age groups, NFS and FIB-4 best predicted advanced fibrosis (NFS with 0.676 threshold: AUROC 0.71-0.76, LR + 2.30-22.05, OR 6.00-39.58; FIB-4 with 2.67 threshold: AUROC of 0.62-0.80, LR + 4.70-27.45, OR 16.34-59.65). CONCLUSIONS: While NFS and FIB-4 scores exhibit good diagnostic accuracy, FIB-4 is optimal in identifying NAFLD advanced fibrosis in the VHA. Easily implemented as a point-of-care clinical test, FIB-4 can be useful in directing patients that are most likely to have advanced fibrosis to GI/hepatology consultation and follow-up.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Dig Dis Sci

DOI

EISSN

1573-2568

Publication Date

September 2018

Volume

63

Issue

9

Start / End Page

2259 / 2266

Location

United States

Related Subject Headings

  • Young Adult
  • Veterans Health
  • United States Department of Veterans Affairs
  • United States
  • Severity of Illness Index
  • Risk Factors
  • Retrospective Studies
  • Reproducibility of Results
  • ROC Curve
  • Prognosis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Patel, Y. A., Gifford, E. J., Glass, L. M., Turner, M. J., Han, B., Moylan, C. A., … Hunt, C. M. (2018). Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration. Dig Dis Sci, 63(9), 2259–2266. https://doi.org/10.1007/s10620-018-5123-3
Patel, Yuval A., Elizabeth J. Gifford, Lisa M. Glass, Marsha J. Turner, Byungjoo Han, Cynthia A. Moylan, Steve Choi, Ayako Suzuki, Dawn Provenzale, and Christine M. Hunt. “Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration.Dig Dis Sci 63, no. 9 (September 2018): 2259–66. https://doi.org/10.1007/s10620-018-5123-3.
Patel YA, Gifford EJ, Glass LM, Turner MJ, Han B, Moylan CA, et al. Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration. Dig Dis Sci. 2018 Sep;63(9):2259–66.
Patel, Yuval A., et al. “Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration.Dig Dis Sci, vol. 63, no. 9, Sept. 2018, pp. 2259–66. Pubmed, doi:10.1007/s10620-018-5123-3.
Patel YA, Gifford EJ, Glass LM, Turner MJ, Han B, Moylan CA, Choi S, Suzuki A, Provenzale D, Hunt CM. Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration. Dig Dis Sci. 2018 Sep;63(9):2259–2266.
Journal cover image

Published In

Dig Dis Sci

DOI

EISSN

1573-2568

Publication Date

September 2018

Volume

63

Issue

9

Start / End Page

2259 / 2266

Location

United States

Related Subject Headings

  • Young Adult
  • Veterans Health
  • United States Department of Veterans Affairs
  • United States
  • Severity of Illness Index
  • Risk Factors
  • Retrospective Studies
  • Reproducibility of Results
  • ROC Curve
  • Prognosis