Variability in magnitude and direction of discordance between continuous glucose monitoring (CGM) metrics and traditional biomarkers in patients with diabetes and end-stage kidney disease (ESKD): A case series.

Lin Y; Ling Jm; Risa Ozaki; Sze Kit Yuen; Cheuk Chun Szeto; Jack Kc Ng; Elaine Chow

doi:10.1016/j.diabres.2026.113442

July 18, 2026

Variability in magnitude and direction of discordance between continuous glucose monitoring (CGM) metrics and traditional biomarkers in patients with diabetes and end-stage kidney disease (ESKD): A case series.

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Key Points

To explore the discrepancies between CGM metrics and traditional biomarkers in patients with diabetes and end-stage kidney disease.
Analyzed data from four patients with diabetes and ESKD
Assessed glycated hemoglobin A1c (HbA1c) levels against continuous glucose monitoring (CGM)-derived metrics
Identified contributing factors such as anemia and glycemic variability
HbA1c values showed discordance with CGM metrics ranging from -2.1% to +6.2%
Factors influencing discordance included anemia and iron disturbances
CGM metrics were supported as safer options for treatment adjustment.

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Implication

Case series reveals significant variations in CGM metrics and HbA1c in patients with diabetes and ESKD, suggesting CGM’s utility.

Abstract

In four patients with diabetes and end-stage kidney disease, glycated hemoglobin A1c (HbA1c) showed marked, time-varying discordance with continuous glucose monitoring (CGM)-derived glucose management indicator, ranging from - 2.1% to + 6.2%. Anemia, erythropoiesis-stimulating therapy, iron disturbances, hemoglobinopathy, transfusion and glycemic variability contributed, supporting CGM metrics for safer assessment and treatment adjustment.

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Cite This Study

Y et al. (2026) studied this question.

synapsesocial.com/papers/6a5f0c1886a4235cc16199e9 https://doi.org/10.1016/j.diabres.2026.113442

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Variability in magnitude and direction of discordance between continuous glucose monitoring (CGM) metrics and traditional biomarkers in patients with diabetes and end-stage kidney disease (ESKD): A case series.

Key Points

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Implication

Abstract

Discussion

Cite This Study

Variability in magnitude and direction of discordance between continuous glucose monitoring (CGM) metrics and traditional biomarkers in patients with diabetes and end-stage kidney disease (ESKD): A case series.

Key Points

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Implication

Abstract

Discussion

Cite This Study

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