Key result
A composite index of six clinical and biochemical risk factors distinguished NASH from simple steatosis with an accuracy of 0.763 (95% CI 0.650-0.876).
Why the study?
Does a composite clinical and biochemical index accurately distinguish NASH from simple steatosis in patients with NAFLD?
Cross-Sectional (n=80)
Does a composite clinical and biochemical index accurately distinguish NASH from simple steatosis in patients with NAFLD?
Effect estimate: AUC 0.763 (95% CI 0.650-0.876)
A noninvasive composite index using clinical and biochemical markers can help distinguish NASH from simple steatosis, potentially reducing the need for liver biopsy.
Proposed noninvasive model offers moderate accuracy for NASH screening; leaves open need for prospective validation before any clinical adoption.
Nonalcoholic fatty liver disease (NAFLD) encompasses both simple steatosis and nonalcoholic steatohepatitis (NASH). Differentiation of these two entities requires histopathologic evaluation. The aim of this study was to establish a reliable diagnostic model for differentiating steatosis from steatohepatitis utilizing both clinical characteristics and a panel of biochemical markers of lipid peroxidation and fibrosis. Eighty subjects with biopsy proven NAFLD were enrolled, 39 with simple steatosis and 41 with histopathologic evidence of NASH. Demographic and laboratory data to include serologic testing for 8-epi-PGF(2alpha), transforming growth factor-beta (TGF-beta), adiponectin, and hyaluronic acid (HA) were obtained and compared between the two groups. There were significant differences between the two groups with respect to age (P=0.004), female gender (P=0.024), aspartate aminotransferase (AST) (P=0.028), body mass index (BMI) (P=0.003), fasting insulin (0.018), AST/alanine aminotransferase (ALT) ratio (AAR) (P=0.017), quantitative insulin sensitivity check index (QUICKI) (P=0.002), and HA (P=0.029). A composite index for distinguishing steatosis from NASH was calculated by summing the risk factors of age >or=50 years, female gender, AST>or=45 IU/l, BMI >or=30 mg/kg2, AAR>or=0.80, and HA>or=55 microg/l, and its accuracy was determined by receiver operating characteristic (ROC) analysis to be 0.763 (95% CI: 0.650-0.876). The presence of three or more risk factors had a sensitivity, specificity, PPV, and NPV of 73.7%, 65.7%, 68.2%, and 71.4%, respectively. In addition, HA at a cutoff of 45.3 microg/l was a good predictor of advanced fibrosis. In conclusion, we propose a noninvasive screening model for distinguishing simple steatosis from NASH. Identifying patients at risk for NASH will allow clinicians to more accurately determine who may benefit from liver biopsy.
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Palekar et al. (2005) conducted a cross-sectional in Nonalcoholic fatty liver disease (NAFLD) (n=80). Composite index of clinical and biochemical risk factors was evaluated on Accuracy of the composite index for distinguishing steatosis from NASH (AUC 0.763, 95% CI 0.650-0.876). A composite index of six clinical and biochemical risk factors distinguished NASH from simple steatosis with an accuracy of 0.763 (95% CI 0.650-0.876).
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