Evaluation of predictors for the development and progression of diabetic retinopathy among diabetes mellitus type 2 patients
Link to publisher's homepage at https://amci.unimap.edu.my/
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Institute of Engineering Mathematics, Universiti Malaysia Perlis
2023
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77708 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Perlis |
Language: | English |
id |
my.unimap-77708 |
---|---|
record_format |
dspace |
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 |