Identification of significant prognostic factors of diabetic patients along with their survival rate

Komal GOEL
Meenu GOEL
Pakhi MALHOTRA
Tarushi AGGARWAL

Keywords

Diabetes mellitus, prognostic factors, insulin

Abstract

Diabetes mellitus, also known as diabetes, is caused when the pancreas does not produce enough insulin or when the cells of the body do not respond properly to the insulin produced. This leads to increase in blood sugar level thus causing further complications like chronic kidney disease, cardiovascular disease, diabetic ketoacidosis, etc. Symptoms often include weight loss, polyuria, slow healing of cuts, polydipsia and many more. The one way ANOVA model is an appropriate statistical method to show the various significant factors that helps in curing diabetes. In this research paper, we have demonstrated the practicality of one way ANOVA in the analysis of various prognostic factors. The main objective of this research paper is to assess and analyse the various significant prognostic factors of diabetic patients and study the interrelationship amongst them. Patients and Methods: A total sample of 1266 diabetic patients is involved in this study. These patients are classified on the basis of different factors that a diabetic patient can have, we have 107 different factors. All the statistical analysis has been performed using the IBM product in IBM SPSS software. The mean diabetic duration of patients under study is 39.6035 days (SD: 66.34122), ranging from 0 to 523 days. From the research we found many significant prognostic factors that can be considered while treating the diabetic patients. The results generated from this study also complies with the other studies on similar topic, hence we can say this study is appropriate for further uses.