Evaluating HbA_1c-to-average glucose conversion with patient-specific kinetic models for diverse populations.

ABSTRACT: The discrepancy between estimated glycemia from HbA_1c 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 HbA_1c. 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 improv

SUBMITTER: Sato Imuro SE 

PROVIDER: S-EPMC11437029 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature