Evaluation of Predictors for the Development and Progression of Diabetic Retinopathy among Diabetes Mellitus Type 2 Patients

Authors

  • Syafawati Ab Saad Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Alam UniMAP, Pauh Putra, 02600 Arau, Perlis, Malaysia

Abstract

Diabetic retinopathy is one of the microvascular complications caused by prolonged uncontrolled diabetes. It is believed that diabetic retinopathy correlates with certain predictors and risk factors that might worsen the disease, eventually causing visual loss and
blindness among diabetes patients. There are some predictors and risk factors that attribute to the development and progression of diabetic retinopathy, such as the duration of diabetes and HbA1c trends. This study aims to evaluate the predictors and risk factors associated with the development and/or progression of diabetic retinopathy. Retrospective data were collected from a single healthcare facility in the northwest of Peninsular Malaysia. Patients included in this study were those with type 2 diabetes mellitus diagnosed with diabetic retinopathy. The total number of patients involved in this study were 197, where 161 of them were newly diagnosed or with progressive diabetic retinopathy. The characteristics of diabetes patients with complication of diabetic retinopathy were described through descriptive statistics. Characteristics include demographics data such as age, gender, race and clinical data such as HbA1c readings HbA1c, estimated glomerular filtration rate (eGFR), urea and haemoglobin concentration (Hb). The results show that 7 predictors and risk factors are significant to the development and progression of diabetic retinopathy among diabetes patients. By using multinomial logistic regression, this study offers better understanding of the significant predictors and risk factors related to diabetic retinopathy.

Keywords:

diabetic retinopathy, predictors, multinomial logistic regression

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Published

2022-12-31

How to Cite

Syafawati Ab Saad. (2022). Evaluation of Predictors for the Development and Progression of Diabetic Retinopathy among Diabetes Mellitus Type 2 Patients. Applied Mathematics and Computational Intelligence (AMCI), 11(1), 164–173. Retrieved from https://ejournal.unimap.edu.my/index.php/amci/article/view/133