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Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients

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Main Authors: Syafawati, Ab Saad, Maz Jamilah, Masnan, Karniza, Khalid, Safwati, Ibrahim
Other Authors: syafawatisaad@unimap.edu.my
Format: Article
Language:English
Published: Institute of Engineering Mathematics, Universiti Malaysia Perlis 2023
Subjects:
Diabetic retinopathy
Predictors
Multinomial logistic regression
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77708
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spelling my.unimap-777082023-01-24T13:06:28Z Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients Syafawati, Ab Saad Maz Jamilah, Masnan Karniza, Khalid Safwati, Ibrahim Syafawati, Ab Saad syafawatisaad@unimap.edu.my Faculty of Applied & Human Sciences, Institute of Engineering Mathematics, Universiti Malaysia Perlis (UniMAP) Centre of Excellence for Social Innovation and Sustainability, Universiti Malaysia Perlis (UniMAP) Ministry of Health Malaysia, Clinical Research Centre, Hospital Tuanku Fauziah (HTF), Perlis Diabetic retinopathy Predictors Multinomial logistic regression Link to publisher's homepage at https://amci.unimap.edu.my/ 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. 2023-01-24T13:06:28Z 2023-01-24T13:06:28Z 2022-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.11(1), 2022, pages 164-173 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77708 https://amci.unimap.edu.my/ en Institute of Engineering Mathematics, Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Diabetic retinopathy
Predictors
Multinomial logistic regression
spellingShingle Diabetic retinopathy
Predictors
Multinomial logistic regression
Syafawati, Ab Saad
Maz Jamilah, Masnan
Karniza, Khalid
Safwati, Ibrahim
Syafawati, Ab Saad
Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
description Link to publisher's homepage at https://amci.unimap.edu.my/
author2 syafawatisaad@unimap.edu.my
author_facet syafawatisaad@unimap.edu.my
Syafawati, Ab Saad
Maz Jamilah, Masnan
Karniza, Khalid
Safwati, Ibrahim
Syafawati, Ab Saad
format Article
author Syafawati, Ab Saad
Maz Jamilah, Masnan
Karniza, Khalid
Safwati, Ibrahim
Syafawati, Ab Saad
author_sort Syafawati, Ab Saad
title Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
title_short Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
title_full Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
title_fullStr Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
title_full_unstemmed Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
title_sort evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
publisher Institute of Engineering Mathematics, Universiti Malaysia Perlis
publishDate 2023
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77708
_version_ 1772813099415371776
score 13.222552

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