A SURVEY OF EFFECTIVE CAUSES ON RETINOPATHY IN YOUNGER ONSET DIABETES TYPE I PATIENTS, VIABIVARIATE BAYESIAN CUMULATIVE .

Diabetes is one of the chronic and non-communicable diseases with increasing prevalence. Retinopathy mostly appears in diabetic type I. Diabetic retinopathy is one of its complications leading to low vision and blindness. Determining effective factors can help us in early diagnosis and controlling the progression of diabetic retinopathy.

Material &Methods : This study is a cross-sectional one being done on 116 patients (diabetic type I). Their diagnoses age was under 30 years. They referred to optical clinic of Farabi hospital. The samples were randomly selected the presence and severity of any diabetic retinopathy was examined in both eyes separately and classified into four classes as follows: none mild severe and moderate and proliferative. Finally covariate variables were collected for each patient considering the clinical visits, patient self report or patient's hospital records.

Results: Retinopathy severity for the left eye was: normal (45.6%), mild (30.2%), severe and moderate (15.51%) and proliferative (8.6%) and for the right eye was: normal (%42.24), mild (31.03%), severe and moderate (17.24%) and proliferative (9.48%). The retinopathy severity correlation between two eyes was statistically significant (P<0.0001, r =0.701). Analysis of effective causes showed that the variables such as: diseases long duration, age of diagnosis, DHTN, sex, BMI, dose of insulin per day, proteinuria and macular edema had significant relation with diseases severity and pulse rate, residence, refractive error and intra-ocular pressure have not significant relation with diseases severity.

Conclusion : This study shows that poor control, being a durable disease, being male, DHTN, BMI, dose of insulin, proteinuria, macular edema in diabetic type 1 are effective factors on retinopathy. Controlling the systematic factors, effective variables and systematic clinical visits by specialists in internal medicine and eye physicians are helpful for predicting retinopathy incidence and recurrence.