Samer Gawrieh1, Laura A Wilson2, Oscar W Cummings3, Jeanne M Clark2, Rohit Loomba4, Bilal Hameed5, Manal F Abdelmalek6, Srinivasan Dasarathy7, Brent A Neuschwander-Tetri8, Kris Kowdley9, David Kleiner10, Edward Doo11, James Tonascia2, Arun Sanyal12, Naga Chalasani1. 1. Division of Gastroenterology and Hepatology, Indiana University, Indianapolis, IN, USA. 2. Data Coordinating Center, Johns Hopkins University, Baltimore, MD, USA. 3. Department of Pathology, Indiana University, Indianapolis, IN, USA. 4. Division of Gastroenterology, University of California, San Diego, California, USA. 5. Division of Gastroenterology, University of California, San Francisco, California, USA. 6. Division of Gastroenterology, Duke University, Durham, NC, USA. 7. Department of Gastroenterology, Hepatology & Nutrition, Cleveland Clinic Foundation, Cleveland, OH, USA. 8. Division of Gastroenterology and Hepatology, Saint Louis University, St Louis, MO, USA. 9. Digestive Health Institute, Swedish Medical Center, Seattle, WA, USA. 10. Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA. 11. Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA. 12. Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University, Richmond, VA, USA.
Abstract
OBJECTIVES: Patients with nonalcoholic fatty liver disease (NAFLD) and normal aminotransferase levels may have advanced liver histology. We conducted a study to characterize the prevalence of and factors associated with advanced liver histology in patients with histologically characterized NAFLD and normal aminotransferase levels. METHODS: We evaluated 534 adults with biopsy-proven NAFLD and alanine aminotransferase (ALT) and aspartate aminotransferase (AST) <40U/L within 3 months of their liver biopsy. Histological phenotypes of primary interest were nonalcoholic steatohepatitis (NASH) with stage 2-3 fibrosis (NASH F2-3) and cirrhosis. Using multiple logistic regression models with Akaike's Information Criteria (AIC), we identified variables associated with these histological phenotypes. We developed and internally validated their clinical prediction models. RESULTS: The prevalence of NASH F2-F3 and cirrhosis was 19% and 7%, respectively. The best multiple regression AIC model for NASH F2-3 consisted of type 2 diabetes, white race, lower low-density lipoprotein, lower platelet count, higher AST/ALT ratio, higher serum triglycerides, and hypertension. The best AIC model for cirrhosis consisted of lower platelet count, lower AST/ALT ratio, higher body mass index, and female sex. The area under the receiver operator curves of the prediction models were 0.70 (95% confidence interval: 0.65-0.76) for detecting NASH-F2-3 and 0.85 (95% confidence interval: 0.77-0.92) for detecting cirrhosis. When models were fixed at maximum Youden's index, their positive and negative predictive values were 35% and 88% for NASH F2-F3 and 30% and 98% for cirrhosis, respectively. DISCUSSION: Clinically significant histological phenotypes are observed in patients with NAFLD and normal aminotransferase levels. Our models can assist the clinicians in excluding advanced liver histology in NAFLD patients with normal aminotransferase levels.
OBJECTIVES:Patients with nonalcoholic fatty liver disease (NAFLD) and normal aminotransferase levels may have advanced liver histology. We conducted a study to characterize the prevalence of and factors associated with advanced liver histology in patients with histologically characterized NAFLD and normal aminotransferase levels. METHODS: We evaluated 534 adults with biopsy-proven NAFLD and alanine aminotransferase (ALT) and aspartate aminotransferase (AST) <40U/L within 3 months of their liver biopsy. Histological phenotypes of primary interest were nonalcoholic steatohepatitis (NASH) with stage 2-3 fibrosis (NASH F2-3) and cirrhosis. Using multiple logistic regression models with Akaike's Information Criteria (AIC), we identified variables associated with these histological phenotypes. We developed and internally validated their clinical prediction models. RESULTS: The prevalence of NASH F2-F3 and cirrhosis was 19% and 7%, respectively. The best multiple regression AIC model for NASH F2-3 consisted of type 2 diabetes, white race, lower low-density lipoprotein, lower platelet count, higher AST/ALT ratio, higher serum triglycerides, and hypertension. The best AIC model for cirrhosis consisted of lower platelet count, lower AST/ALT ratio, higher body mass index, and female sex. The area under the receiver operator curves of the prediction models were 0.70 (95% confidence interval: 0.65-0.76) for detecting NASH-F2-3 and 0.85 (95% confidence interval: 0.77-0.92) for detecting cirrhosis. When models were fixed at maximum Youden's index, their positive and negative predictive values were 35% and 88% for NASH F2-F3 and 30% and 98% for cirrhosis, respectively. DISCUSSION: Clinically significant histological phenotypes are observed in patients with NAFLD and normal aminotransferase levels. Our models can assist the clinicians in excluding advanced liver histology in NAFLD patients with normal aminotransferase levels.
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