Evaluating HbA1c-to-average glucose conversion with patient-specific kinetic models for diverse populations

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dc.citation.articleNumber22098en_US
dc.citation.journalTitleScientific Reportsen_US
dc.citation.volumeNumber14en_US
dc.contributor.authorSato Imuro, Sandra Emien_US
dc.contributor.authorSabharwal, Ashutoshen_US
dc.contributor.authorBevier, Wendyen_US
dc.contributor.authorKerr, Daviden_US
dc.date.accessioned2024-10-29T14:11:23Zen_US
dc.date.available2024-10-29T14:11:23Zen_US
dc.date.issued2024en_US
dc.description.abstractThe discrepancy between estimated glycemia from HbA1c values and actual average glucose (AG) levels has significant implications for treatment decisions and patient understanding. Factors contributing to the gap include red blood cell (RBC) lifespan and glucose uptake into the RBC. Personalized models have been proposed to enhance AG prediction accuracy by considering interpersonal variation. This study contributes to our understanding of personalized models for estimating AG from HbA1c. Utilizing data from seven studies (340 participants), including Hispanic/Latino populations with or at risk of non-insulin-treated type 2 diabetes (T2D), we examined kinetic features across cohorts. Additionally, the study simulated scenarios to understand data requirements for improving accuracy. Personalized approaches improved agreement between AG estimations and CGM-AG, particularly with four or more weeks of training CGM data. A multiple linear regression model using kinetic parameters and added clinical features was shown to improve the accuracy of personalized models further. As CGM usage extends beyond type 1 diabetes, there is growing interest in leveraging CGM data for clinical decision-making. Patient-specific models offer a valuable tool for managing glycemic status in patients with discordant HbA1c and AG values.en_US
dc.identifier.citationSato Imuro, S. E., Sabharwal, A., Bevier, W., & Kerr, D. (2024). Evaluating HbA1c-to-average glucose conversion with patient-specific kinetic models for diverse populations. Scientific Reports, 14(1), 22098. https://doi.org/10.1038/s41598-024-72837-7en_US
dc.identifier.digitals41598-024-72837-7en_US
dc.identifier.doihttps://doi.org/10.1038/s41598-024-72837-7en_US
dc.identifier.urihttps://hdl.handle.net/1911/117967en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license. Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleEvaluating HbA1c-to-average glucose conversion with patient-specific kinetic models for diverse populationsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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