ANTHROPOMETRIC PARAMETERS IN PREDICTING LIVER STEATOSIS AND FIBROSIS BASED ON FIBROSCAN AND CAP GRADING

Background and Aim: Non-alcoholic fatty liver disease (NAFLD) is considered as the most common chronic liver disease which can contribute to some clinical conditions. Consequently, the early diagnosis of NAFLD is vital. The aim of this study is to investigate the ability anthropometric parameters in predicting NAFLD.Methods: A total sample of 212 subjects over 18 years old (103 man and 109 woman) were recruited from those admitted to a gastrointestinal clinic in Mashhad, northeastern Iran. Anthropometric parameters were measured. Hepatic steatosis and fibrosis were identified by Transient Elastography (TE). Logistic regression was applied to establish the association of anthropometric parameters with hepatic steatosis and fibrosis. The sensitivity, specificity, AUC of all anthropometric measurements were detected by receiver operating characteristic analysis. Results: The mean age of participants was 39.26±14.18 years. Liver steatosis was positively correlated with all of the anthropometric parameters after adjusting for multiple factors (p<0.0001). Liver fibrosis was positively correlated with just BMI, wrist circumference and WC after adjusting for multiple injury risk factors. From anthropometric parameters waist circumference had the highest AUC (0.855) in predicting liver steatosis which followed by BMI, weight, and WHR. With regarding to liver fibrosis WC had the highest AUC (0.692).Conclusion: According to our results, although WC has the highest performance in predicting liver steatosis, other novel anthropometric parameters such as neck circumference and wrist circumference are strongly associated with liver steatosis. While anthropometric parameters aren’t good predictors for liver fibrosis.

Keywords:

Liver steatosis , Liver fibrosis , Anthropometric parameters , Fibroscan , CAP