Regression modeling for the Risk Factor Analysis of Non Alcoholic Steatohepatitis

Abstract

The association of Non-alcoholic steatohepatitis (NASH) with type 2 Diabetes Mellitus (DM)
is common. NASH in type 2 DM has not been well studied and in type 2 DM, there is an epidemic rise in
advanced and advancing countries. Its coalition with chronic liver disease in the form of NASH makes it an
important health problem. The world-wide commonness of non-alcoholic fatty liver disease (FLD) is
estimated to have more in adults. Non Alcoholic Fatty Liver Disease (NAFLD) is often associated with
insulin resistance and is strongly associated with type 2 diabetes mellitus and corpulence. NAFLD patients
are at risk of progressing to NASH and ultimately cirrhosis; they are also at higher risk of cardiovascular
diseases (CVD), including coronary heart disease and stroke. In this paper we are trying to analyse the risk
of new CVD event in child-bearing women with diabetic and non-diabetic issues. Our attempt is to derive a
statistical model for estimating the association of many such components with blood sugar, with baseline
characteristics like age, obesity, diabetic level, hypertension, cholesterol level etc. Finally the significance of
the model is statistically tested. We also propose to amplify our study to prove whether NASH is an
independent risk factor for CVD later