Prevalence of risk factors and severity level of diabetic retinopathy in UiTM Medical Specialist Centre: an ordinal analysis

Che Jani, Aniza Ayuna and Khairudin, Zuraida and Mohd Razali, Nornadiah and Abd Aziz, Nor Azimah and Abd Rahman, Hezlin Aryani and Abu Bakar, Nur Syamimi (2025) Prevalence of risk factors and severity level of diabetic retinopathy in UiTM Medical Specialist Centre: an ordinal analysis. Malaysian Journal of Computing (MJoC), 10 (2): 3. pp. 2188-2202. ISSN 2600-8238

Identification Number (DOI): 10.24191/mjoc.v10i1.7135

Abstract

Diabetic Retinopathy (DR) has become a major concern as the number of diabetic patients who are diagnosed with DR has been on the rise each year. Hence, the adoption of a strategic approach is needed to determine the factors that contribute to the level of severity in DR patients. This research aims to determine the significant risk factors influencing the severity level of DR as well as to evaluate the classification rate between the severity level of 157 patients at UiTM Private Specialist Centre by employing the Ordinal Logistic Regression (OLR) analysis. The study revealed that there were 60 (38%) patients with Mild NonProliferative Diabetic Retinopathy (NPDR), 61 (39%) patients with moderate NPDR, 9 (6%) patients with severe NPDR and 27 (17%) patients with Proliferative Diabetic Retinopathy (PDR). On top of that, the severity level of DR was found to be influenced by the duration of diabetes melitus (DM) (p=0.005), nephropathy (p=0.011) and dyslipidemia (p=0.035). Patients who did not have nephropathy were 0.6 times less likely and patients who did not have the dyslipidemia were 0.7 times more likely to have the highest severity level of DR compared to lower severity levels. For the duration of DM, an increase in the duration was associated with an increase in the odds of having the highest severity level. Finally, the results showed that severity level 2 (Mild NPDR), severity level 3 (Moderate NPDR) and severity level 4 (Severe NPDR) were the most accurate categories predicted by the model. This study can contribute to the improvement of health among DR patients and provides alternatives to the hospital in giving treatments to the patients.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Che Jani, Aniza Ayuna
aniza.ayuna97@gmail.com
Khairudin, Zuraida
zuraida_k@fskm.uitm.edu.my
Mohd Razali, Nornadiah
nornadiah@uitm.edu.my
Abd Aziz, Nor Azimah
azimah80@uitm.edu.my
Abd Rahman, Hezlin Aryani
hezlin@fskm.uitm.edu.my
Abu Bakar, Nur Syamimi
syamimi@uitm.edu.my
Subjects: R Medicine > RC Internal Medicine > Diabetes Mellitus
R Medicine > RE Ophthalmology > Particular diseases of the eye
Divisions: Universiti Teknologi MARA, Shah Alam > College of Computing, Informatics and Mathematics
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
UiTM Journal Collections: UiTM Journals > Malaysian Journal of Computing (MJoC)
ISSN: 2600-8238
Volume: 10
Number: 2
Page Range: pp. 2188-2202
Keywords: Diabetes, Diabetic retinopathy (DR), Risk factors, Ordinal logistic regression (OLR), Severity level
Date: October 2025
URI: https://ir.uitm.edu.my/id/eprint/125990
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