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Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country
Good control of glycosylated haemoglobin A1C in diabetes patients prevents cardiovascular complications. We aim to describe the A1C trend and determine the predictors of the trend among type 2 diabetes patients in Malaysia. Longitudinal data in the National Diabetes Registry from 2013 to 2017 were a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991644/ https://www.ncbi.nlm.nih.gov/pubmed/33762665 http://dx.doi.org/10.1038/s41598-021-86277-0 |
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author | Wan, Kim Sui Hairi, Noran Naqiah Mustapha, Feisul Idzwan Mohd Yusof, Khalijah Mohd Ali, Zainudin Moy, Foong Ming |
author_facet | Wan, Kim Sui Hairi, Noran Naqiah Mustapha, Feisul Idzwan Mohd Yusof, Khalijah Mohd Ali, Zainudin Moy, Foong Ming |
author_sort | Wan, Kim Sui |
collection | PubMed |
description | Good control of glycosylated haemoglobin A1C in diabetes patients prevents cardiovascular complications. We aim to describe the A1C trend and determine the predictors of the trend among type 2 diabetes patients in Malaysia. Longitudinal data in the National Diabetes Registry from 2013 to 2017 were analysed using linear mixed-effects modelling. Among 17,592 patients, 56.3% were females, 64.9% Malays, and the baseline mean age was 59.1 years. The U-shaped A1C trend changed marginally from 7.89% in 2013 to 8.07% in 2017. The A1C excess of 1.07% as reported in 2017 represented about 22% higher risk of diabetes-related death, myocardial infarction, and stroke, which are potentially preventable. The predictors for higher baseline A1C were non-Chinese ethnicity, younger age groups, longer diabetes duration, patients on insulin treatment, polypharmacy use, patients without hypertension, and patients who were not on antihypertensive agents. Younger age groups predicted a linear increase in the A1C trend, whereas patients on insulin treatment predicted a linear decrease in the A1C trend. Specifically, the younger adults and patients of Indian and Malay ethnicities had the poorest A1C trends. Targeted interventions should be directed at these high-risk groups to improve their A1C control. |
format | Online Article Text |
id | pubmed-7991644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79916442021-03-26 Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country Wan, Kim Sui Hairi, Noran Naqiah Mustapha, Feisul Idzwan Mohd Yusof, Khalijah Mohd Ali, Zainudin Moy, Foong Ming Sci Rep Article Good control of glycosylated haemoglobin A1C in diabetes patients prevents cardiovascular complications. We aim to describe the A1C trend and determine the predictors of the trend among type 2 diabetes patients in Malaysia. Longitudinal data in the National Diabetes Registry from 2013 to 2017 were analysed using linear mixed-effects modelling. Among 17,592 patients, 56.3% were females, 64.9% Malays, and the baseline mean age was 59.1 years. The U-shaped A1C trend changed marginally from 7.89% in 2013 to 8.07% in 2017. The A1C excess of 1.07% as reported in 2017 represented about 22% higher risk of diabetes-related death, myocardial infarction, and stroke, which are potentially preventable. The predictors for higher baseline A1C were non-Chinese ethnicity, younger age groups, longer diabetes duration, patients on insulin treatment, polypharmacy use, patients without hypertension, and patients who were not on antihypertensive agents. Younger age groups predicted a linear increase in the A1C trend, whereas patients on insulin treatment predicted a linear decrease in the A1C trend. Specifically, the younger adults and patients of Indian and Malay ethnicities had the poorest A1C trends. Targeted interventions should be directed at these high-risk groups to improve their A1C control. Nature Publishing Group UK 2021-03-24 /pmc/articles/PMC7991644/ /pubmed/33762665 http://dx.doi.org/10.1038/s41598-021-86277-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wan, Kim Sui Hairi, Noran Naqiah Mustapha, Feisul Idzwan Mohd Yusof, Khalijah Mohd Ali, Zainudin Moy, Foong Ming Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country |
title | Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country |
title_full | Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country |
title_fullStr | Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country |
title_full_unstemmed | Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country |
title_short | Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country |
title_sort | predictors of glycosylated haemoglobin a1c trend among type 2 diabetes patients in a multi-ethnic country |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991644/ https://www.ncbi.nlm.nih.gov/pubmed/33762665 http://dx.doi.org/10.1038/s41598-021-86277-0 |
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