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Lookup NU author(s): Professor Dame Louise Robinson, Dr Andrew KingstonORCiD, Kate Sheffer
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023, The Author(s).Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29–39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.
Author(s): Zhou B, et al., NCD Risk Factor Collaboration (NCD-RisC), Robinson A, Kingston A, Sheffer K
Publication type: Article
Publication status: Published
Journal: Nature Medicine
Year: 2023
Volume: 29
Pages: 2885-2901
Online publication date: 09/11/2023
Acceptance date: 25/09/2023
Date deposited: 29/11/2023
ISSN (print): 1078-8956
ISSN (electronic): 1546-170X
Publisher: Nature Research
URL: https://doi.org/10.1038/s41591-023-02610-2
DOI: 10.1038/s41591-023-02610-2
Data Access Statement: Data used in this research are governed by data-sharing protocols of participating studies. Contact information for data providers can be obtained from www.ncdrisc.org and https://doi.org/10.5281/zenodo.8169145. The computer code for the log-binomial regression in this work is available at www.ncdrisc.org and https://doi.org/10.5281/zenodo.8169145.
PubMed id: 37946056
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