Wan, Kim Sui and Hairi, Noran Naqiah and Mustapha, Feisul Idzwan and Mohd Yusof, Khalijah and Mohd Ali, Zainudin and Moy, Foong Ming (2021) Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country. Scientific Reports, 11 (1). ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-021-86277-0.
Full text not available from this repository.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.
Item Type: | Article |
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Funders: | Impact Oriented Interdisciplinary Research Grant (IIRG) [IIRG007A-19FNW] |
Uncontrolled Keywords: | Glycemic control; Cardiovascular-disease; Blood-pressure; Risk-factors |
Subjects: | R Medicine > R Medicine (General) |
Divisions: | Faculty of Medicine |
Depositing User: | Ms Zaharah Ramly |
Date Deposited: | 08 Aug 2022 04:36 |
Last Modified: | 08 Aug 2022 04:36 |
URI: | http://eprints.um.edu.my/id/eprint/28428 |
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