Murugan, Rajalakshmi(Asst. professor)Wondwossen, Kalkidan(Lecturer)Assefa, Birtukan2020-05-282023-11-062020-05-282023-11-062019-01http://etd.aau.edu.et/handle/123456789/21355Background; Diabetic mellitus is one of the most common chronic diseases of childhood disease, with a global incidence of 5% or above per year in children. If the condition is left untreated, children will suffer by Diabetic ketoacidosis. Diabetic ketoacidosis represents a state of acute metabolic stress, when the body suffers due to absolute or relative insulin deficiency for metabolism of glucose. Recurrent- Diabetic ketoacidosis in patients with already diagnosed diabetic mellitus remains a relevant problem in pediatric with incidence of 1–10% per patient. the overall incidence of DKA in Ethiopia is not known but some studies from different part of the country indicates prevalence of DKA in Addis Ababa , Dessie, Jimma were 62.2%,19.9%, 34% respectively. These shows the incidence of DKA increasing in Ethiopia and Diabetes is becoming public health problem in Ethiopia due to increasing prevalence and related complications spatially DKA. So, this study aims to determine the incidence rate of DKA and identify its predictors among DM diagnosed children. Objective: To assess incidence and predictors of diabetic ketoacidosis among children diagnosed with diabetes at east and west Gojjam referral hospitals, North West Ethiopia, 2019 Methods: Institution based retrospective cohort study will be conducted among diabetic mellitus diagnosed children who were registered from January 1, 2014 to January 1, 2018 using pre-structured check list that measures socio-demographic characteristics, disease factors of Diabetic ketoacidosis and other clinical information regarding time duration to develop Diabetic ketoacidosis to gather the information. To select the study subjects’ first total diabetic mellitus caseload will be assessed in the data base on the electronic system from medical record office then; simple random method will be applied to select the required sample size 389. The collected data will be coded and entered in Epi data version 4.2 and will be transferred to SPSS 21.0 for further analysis. The Kaplan Meier estimator will be used to estimate median time to develop DKA during the treatment period and log rank tests, to compare survival curves. To investigate predictors of DKA will be analyzed by Cox proportional hazard model. Hazard ratio, 95% CI and P < 0.25 level in the bivariable analysis will be entered in the final Cox-regression analysis. Statistical test will consider significant at P level less than 0.05. Budget: to conduct this research it needs 28065.88 Ethiopian Birr.en-USDiabetic ketoacidosis,Diabetic mellitus,childhood diseaseThesis