Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country

Abstract 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 20...

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Autores principales:	Kim Sui Wan, Noran Naqiah Hairi, Feisul Idzwan Mustapha, Khalijah Mohd Yusof, Zainudin Mohd Ali, Foong Ming Moy
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fe900bf8f043401592e754a73bc0d814
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spelling	oai:doaj.org-article:fe900bf8f043401592e754a73bc0d8142021-12-02T11:45:00ZPredictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country10.1038/s41598-021-86277-02045-2322https://doaj.org/article/fe900bf8f043401592e754a73bc0d8142021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86277-0https://doaj.org/toc/2045-2322Abstract 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.Kim Sui WanNoran Naqiah HairiFeisul Idzwan MustaphaKhalijah Mohd YusofZainudin Mohd AliFoong Ming MoyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kim Sui Wan Noran Naqiah Hairi Feisul Idzwan Mustapha Khalijah Mohd Yusof Zainudin Mohd Ali Foong Ming Moy Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country
description	Abstract 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	article
author	Kim Sui Wan Noran Naqiah Hairi Feisul Idzwan Mustapha Khalijah Mohd Yusof Zainudin Mohd Ali Foong Ming Moy
author_facet	Kim Sui Wan Noran Naqiah Hairi Feisul Idzwan Mustapha Khalijah Mohd Yusof Zainudin Mohd Ali Foong Ming Moy
author_sort	Kim Sui Wan
title	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_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_sort	predictors of glycosylated haemoglobin a1c trend among type 2 diabetes patients in a multi-ethnic country
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fe900bf8f043401592e754a73bc0d814
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Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country

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