Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease


Mohammad Ebrahim Ghamar-Chehreh 1 , Hossein Khedmat 1 , Mohsen Amini 1 , * , Saeed Taheri 2

1 Baqiyatallah Research Center for Gastroenterology and Liver Disease, Baqiyatallah University of Medical Sciences, [email protected], IR Iran

2 Medical Research Group, Baqiyatallah University of Medical Sciences, IR Iran

How to Cite: Ghamar-Chehreh M E, Khedmat H , Amini M , Taheri S . Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease, Hepat Mon. 2012 ; 12(11):6860. doi: 10.5812/hepatmon.6860.


Hepatitis Monthly: 12 (11); 6860
Published Online: November 3, 2012
Article Type: Research Article
Received: June 18, 2012
Accepted: September 21, 2012


Background: There are several studies in the literature investigating factors which can induce non-alcoholic fatty liver disease (NAFLD) in different populations. However, the existing literature lacks powerful studies addressing the factors which may predict the severity of NAFLD.

Objectives: In the current study, we aimed to evaluate factors independently associated with liver echogenicity in an Iranian NAFLD patient population.

Patients and Methods: A total of 393 patients attending as outpatients at the Hepatology Clinic of Baqiyatallah University of Medical Sciences were entered into this analysis. Univariate and multivariable linear regression models were performed to evaluate the effects of the study variables on the NAFLD grade, defined by ultrasound hepatic echogenicity.

Results: Univariate linear analyses revealed a significant relationship between; the ultrasonographic grading of NAFLD and body weight (P < 0.001), abdominal girth (P = 0.007), pelvic girth (P = 0.032), fasting blood glucose (FBS) (P = 0.005), serum insulin (P = 0.035), hemoglobin A1c (HbA1c) (P = 0.012), triglycerides (P = 0.049), aspartate aminotransferase (AST) (P = 0.015), alanin aminotransferase (ALT) (P = 0.026), and homeostasis model assessment (HOMA) (P = 0.002). Multivariable linear regression models left only; HbA1C (P = 0.011, ? = 0.133), body weight (P = 0.001; ? = 0.176) and serum triglyceride (P = 0.034; ? = 0.112) as factors independently associated with liver echogenicity.

Conclusions: Diabetic patients can reduce liver damage of NAFLD with control of their HbA1C through the lower ranges. Hypertriglyceridemia and body weight are the other implicated factors, which worsen hepatic echogenicity in the NAFLD patient population. We recommend future prospective studies and clinical trials to confirm our findings.

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