Correlations Between Glycemic Parameters Obtained from Continuous Glucose Monitoring and Hemoglobin A1c and Glycoalbumin Levels in Type 2 Diabetes Mellitus

Satomi SONODA; Yosuke OKADA; Keiichi TORIMOTO; Kei SUGAI; Fumi UEMURA; Kenichi TANAKA; Maiko HAJIME; Hiroko MORI; Yoshiya TANAKA

doi:10.7888/juoeh.42.299

Satomi SONODA , Yosuke OKADA, Keiichi TORIMOTO, Kei SUGAI, Fumi UEMURA, Kenichi TANAKA, Maiko HAJIME, Hiroko MORI, Yoshiya TANAKA

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Satomi SONODA Corresponding author
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Yosuke OKADA
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Keiichi TORIMOTO
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Kei SUGAI
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Fumi UEMURA
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Kenichi TANAKA
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Maiko HAJIME
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Hiroko MORI
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.
Yoshiya TANAKA
The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Japan.

Keywords: continuous glucose monitoring, glycoalbumin, type 2 diabetes mellitus

JOURNAL FREE ACCESS

2020 Volume 42 Issue 4 Pages 299-306

DOI https://doi.org/10.7888/juoeh.42.299

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Abstract

It is difficult to detect glycemic excursions using CGM in daily clinical practice. We retrospectively analyzed CGM data in type T2DM to define the correlations between HbA1c and GA levels at admission and the parameters representing glycemic excursions measured by CGM, including the mean amplitude of glycemic excursions (MAGE) and standard deviation (SD). The MAGE correlated significantly with GA and HbA1c, but not with the GA/HbA1c ratio. The SD correlated significantly with GA, HbA1c, and GA/HbA1c. Multivariate analysis identified the GA value to be the most reflective of MAGE. Patients were divided into 2 groups using a MAGE cutoff value of 75 mg/dl, which reflects stable diabetes. There was a significant difference in GA, but not HbA1c, between the groups with low and high mean amplitudes of glycemic excursions. Receiver operating characteristic curve analysis indicated that the cutoff for GA for identifying patients with MAGE of ≤75 mg/dl was 18.1%. Our study identified GA to be the most reflective of glycemic excursions in patients with T2DM. GA can be a useful index of glycemic excursions and treatment optimization to prevent arteriosclerosis.

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