Analysis of Effective Factors on Retinopathy Recognition in Patients with Type 2 Diabetes by Using Parametric Models and Cox model

• Main Authors: M Askarishahi, F Keshavarzi, M Afkhami- Ardakani, H Falahzadeh
• Format: Article
• Language: fas
• Published: Shahid Sadoughi University of Medical Sciences 2016-11-01
• Series: Toloo-e-behdasht
• Subjects: Diabetes; diabetic retinopathy; anemia; survival analysis; parametric models.
• Online Access: http://tbj.ssu.ac.ir/browse.php?a_code=A-10-1-238&slc_lang=en&sid=1

Abstract Introduction: One of the most complications of diabetes, diabetic retinopathy which is one of the leading causes of visual loss and causes blindness of more than 10000 people annually. The purpose of this study was to determine the effective factors on Retinopathy recognition in patients with type 2 diabetes. Methods: In this prospective cohort study, 400 patients with type 2 diabetes without retinopathy which had referred to the Ophthalmology Clinic of Yazd Diabetes Research Center, Iran in 2008 were enrolled in the study and they were examined from Retinopathy until Feb 2013. For identification of effective factors on retinopathy recognition we used semi-parametric Cox model and parametric models, exponential, Weibull, Log-normal and Log- logistic. Results: The use of aspirin 0.6 times (in Weibull model, Log-normal) and one times (in Cox model) increases the retinopathy recognition risk. In other words, it decreases the duration of retinopathy recognition in these persons. In this study the risk of recognition of diabetic retinopathy in the patients who had anemia is 1.4 times of patients which didn’t have these risk factors. Having anemia causes diabetic retinopathy recognition earlier. In this study it was observed that insulin caused a delay in the diagnosis of retinopathy and reduces the risk of diabetic retinopathy.     Conclusion: Blood sugar control, regular examination of the funds by an ophthalmologist in the early diagnosis of diabetes, control of aspirin use, diagnosis and treatment of anemia in patients with type 2 diabetes are recommended.