Скачать или смотреть Why CGM Data Beats HbA1c for Glucose Insights with Dr. Ben Bikman

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Dr. Bikman responds to a question from Lindsay about discrepancies between HbA1c lab results and continuous glucose monitor (CGM)-derived metrics, such as the General Mean Index (GMI) and A1C equivalents.

Ben emphasizes that the laboratory-tested HbA1c is valuable for tracking glucose trends over the past three months but has inherent limitations. He highlights that HbA1c represents an average and does not account for glucose variability, a critical component of metabolic health.

Ben explains that CGMs provide unique insights into dynamic glucose patterns, including variability, which the HbA1c fails to reflect. For example, two individuals with the same HbA1c could have dramatically different glucose control profiles—one with consistently moderate glucose levels and the other with severe glucose spikes and crashes. He also addresses the unreliability of algorithmically derived A1C equivalents from CGMs, which often differ from lab-tested HbA1c results.

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