The development of a non‐invasive model to predict the presence of non‐alcoholic steatohepatitis in patients with non‐alcoholic fatty liver disease. Issue 5 (May 2016)

• Record Type: Journal Article
• Authors: Goh, George BB; Issa, Danny; Lopez, Rocio; Dasarathy, Srinivasan; Dasarathy, Jaividhya; Sargent, Ruth; Hawkins, Carol; Pai, Rish K; Yerian, Lisa; Khiyami, Amer; Pagadala, Mangesh R; Sourianarayanane, Achuthan; Alkhouri, Naim; McCullough, Arthur J
• Is Part Of: Journal of gastroenterology and hepatology. Volume 31:Issue 5(2016:May)
• Page Start: 995
• Page End: 1000
• Publication Date: 2016-05
• Subjects: clinical < hepatology -- NAFLD -- NASH < hepatology -- pathogenesis < hepatology; Gastroenterology -- Periodicals; Digestive organs -- Diseases -- Periodicals; Liver -- Diseases -- Periodicals; Gastroenterology -- Periodicals; Liver Diseases -- Periodicals; 616.33
• DOI: 10.1111/jgh.13235
• Languages: English
• ISSNs: 0815-9319

Abstract

Abstract: Background: Non‐alcoholic steatohepatitis (NASH) is an advanced and aggressive form of non‐alcoholic fatty liver disease (NAFLD), which remains difficult to diagnose without a liver biopsy. Hyperferritinemia has increasingly been associated with the presence of NASH. Hence, we sought to explore the relationship between ferritin and NASH and to develop a composite model based on ferritin to predict the presence of NASH. Methods: A total of 405 patients with biopsy‐proven NAFLD were enrolled in the study. Comparison was explored to assess differences between patients with and without NASH, upon which a scoring model was established using variables found to be independent predictors of NASH. Results: Among all patients with NAFLD, 291 (72%) had biopsy‐proven NASH, and 114 (28%) had non‐NASH. Mean age was 48 ± 12 years, and 56% were female. Ferritin was significantly higher in NASH compared with non‐NASH patients (184 vs 126, respectively; P &lt; 0.001) but lacked diagnostic accuracy for predicting NASH alone (area under the curve [AUC 0.62]). The addition of other significant variables such as aspartate aminotransferase, body mass index, platelet count, diabetes, and hypertension to ferritin improved the prediction of NASH with an AUC 0.81 (95% confidence interval: 0.76–0.86). Internal validation of the model using imputed data sets demonstrated that AUC did not change materially. Conclusions: While higher ferritin was significantly associated with NASH, ferritin alone lacked diagnostic accuracy to predict NASH. However, incorporating several easily obtainable variables with ferritin allowed the construction of a novel scoring system that can be easily applied in the clinical setting to guide management of NAFLD.