Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients / Syafawati Ab Saad ... [et al.]

Ab Saad, Syafawati and Masnan, Maz Jamilah and Khalid, Karniza and Ibrahim, Safwati (2021) Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients / Syafawati Ab Saad ... [et al.]. In: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021), 4-5 August 2021. (Submitted)

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.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Ab Saad, Syafawati
syafawatisaad@unimap.edu.my
Masnan, Maz Jamilah
mazjamilah@unimap.edu.my
Khalid, Karniza
karniza.khalid@moh.gov.my
Ibrahim, Safwati
safwati@unimap.edu.my
Subjects: R Medicine > RA Public aspects of medicine > Medical care
R Medicine > RA Public aspects of medicine > Health behavior and habits
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Event Title: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021)
Event Dates: 4-5 August 2021
Page Range: pp. 152-159
Keywords: Diabetic retinopathy, predictors, multinomial logistic regression
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/56167
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