IOSR Journal of Biotechnology and Biochemistry (IOSR-JBB) ISSN: 2455-264X, Volume 6, Issue 2 (Mar. – Apr. 2020), PP 01-10 www.iosrjournals.org DOI: 10.9790/264X-0602010110 www.iosrjournals.org 1 | Page Logistic Regression Analysis of Diabetes Mellitus Patients Using Clinical Diagnosis in Debre Berhan Referral Hospital, Debre Berhan, Ethiopia A.R.Muralidharan 1 , WudnehKetema Moges 2 1 Assistant professor of Biostatistics, P.G. Department of Biostatistics, College of Natural and Computational Science, Debre BerhanUniversity, DebreBerhan, Ethiopia 2 Lecturer in statistics, Department of Statistics, College of Natural and Computational Science, Debre Berhan University, Debre Berhan, Ethiopia Abstract: Diabetes mellitus (DM) is a metabolic disorder where by glucose cannot effectively get transported out of the blood. It is a chronic disease with a high prevalence and a growing concern in worldwide. There are two Types of diabetes, which are Type I and Type II. A longitudinal data analysis retrospective based study was conducted between 1 st September, 2012 to 30 th August 2015 in Debre Berhan referral hospital.The main objective of the study was to analysis of progression of Diabetes Mellitus patients using fasting blood sugar level count following insulin, metformin and to identify factors predicting the progression of diabetic infection using logistic regression. Methods: A total of 248 DM patients were included in the study whom 111(44 .8%) were females and the rest 137(55 .8%) were males. Longitudinal data for a period of three years individuals would be extracted from the patient’s records which contain epidemiological, laboratory and clinical information of all diabetic patients under insulin and metformin follow-up. The Logistic Regression analysis model incorporated by using SPSS and R Studio and the results were produced in this article for the progression of diabetic infection. Results: Among the involved seven variables only the variable Bmi show a significant difference and this variable influence the DM patients on their diagnosis status. By using R square analysis it was observes that it will lie between 63.6% and 87.1% of the variation in decisions can be explained by the model in Block1 Conclusions: The study shows a high prevalence of Diagnosis due to Body mass index. With respect age both extremes are more respondents. In other studies the history of disease and diets(Fasting system) also interest on diagnosis of DM patients. To reduce the patients and increase their quality of life to prolong their living time Key words: Diabetics, Diabetes Mellitus, Clinical diagnosis of insulin, Referral Hospital, Logistic regression --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 26-02-2020 Date of Acceptance: 09-03-2020 --------------------------------------------------------------------------------------------------------------------------------------- I. Introduction: Diabetes mellitus (DM) is a metabolic disorder where by glucose cannot effectively get transported out of the blood. The hormone insulin facilitates glucose from the blood and into tissues, decreasing blood sugar concentration. In diabetics, insulin is not produced either in adequate amounts or the body cannot effectively respond to insulin produced, chronically high blood glucose concentration can cause damage to capillaries, inhibiting the efficiency of blood circulation. This can lead to severe ailments such as kidney disease, limb amputations, glaucoma and bacterial infection [7]. It is also a group of metabolic disorders characterized by hyperglycaemi. Diabetes mellitus is a catabolic multisystem disease with both biochemical and anatomical consequences. It is a chronic disease of carbohydrate, fat and protein metabolism caused by either absolute lack of insulin or insulin resistance or secretors defects. Diabetes mellitus may present with characteristic symptoms such as thirst, polyuria, blurring of vision and weight loss according to [1]. According to International Diabetes Federation, 2011 reports of, the number of adults living with diabetes in Ethiopia was 3.5% [10]. Even though the national prevalence of diabetes in Ethiopia is estimated to be 2%, evidence suggests that its prevalence could be more than 5% in those older than 40 years of age in some setting [10]. A study by Watkins and Alemu conducted in Gondar found out most of the rural patients 77%) had Type I diabetes whereas in urban areas only 29% had Type I and 71% of them Type II diabetes [8]. Generally, the global burden of Diabetes mellitus has been increasing radically. The impact is high especially in developing countries in which resource is limited to identify the problem and develop need based clinical and community intervention [2]. Therefore, the objective of this study was to test statistical modelling in longitudinal analysis and identifies associated factors of fasting blood sugar level count of diabetic patients among outpatients of Debre Berhan