Modeling Data for Complications in Diabetics Using Logistic Regression

2010 Mathematics Subject Classification: 62P10.

A prospective study of the relationship between some clinical parameters, genetic markers and complications of the patients with diabetes is considered. About 200 patients (male and female) have been examined. The patients are classified into five groups subject to the type of the diabetes. Data obtained for each patient are related to the type of the complications -- macro vascular, retina pathology, neuron pathology and nephrite pathology, 12 clinical parameters and 7 genetic markers. Data for the same genetic markers for 94 healthy persons (control group) are compared with those of the diabetics patients. The association of the genetic markers and the different types diabetes-related complications are investigated. A logistic regression to identify which factors are associated with the complications is performed. The associations between pathogenesis and gene genotypes are investigated for the first time for the population of diabetics in Bulgaria.