Relationships among different glycemic variability indices obtained by continuous glucose monitoring

Highlights • Glycemic variability indices correlate each other with r value of 0.5–0.8. • ICG, MODD, CONGA1 and MAGE are more strongly relates to SD than mean glucose. • Glycemic variability indices moderately relate to hypoglycemia. • Combination of mean and SD glucose is useful for predicting hypo...

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Veröffentlicht in:	Primary care diabetes 2015-08, Vol.9 (4), p.290-296
Hauptverfasser:	Saisho, Yoshifumi, Tanaka, Chihiro, Tanaka, Kumiko, Roberts, Rachel, Abe, Takayuki, Tanaka, Masami, Meguro, Shu, Irie, Junichiro, Kawai, Toshihide, Itoh, Hiroshi
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Area Under Curve Biomarkers - blood Blood Glucose - drug effects Blood Glucose - metabolism Continuous glucose monitoring Diabetes mellitus Diabetes Mellitus, Type 1 - blood Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 1 - drug therapy Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - drug therapy Endocrinology & Metabolism Female Glycated Hemoglobin A - metabolism Glycemic variability Humans Hypoglycemia - blood Hypoglycemia - chemically induced Hypoglycemia - diagnosis Hypoglycemic Agents - adverse effects Internal Medicine Japan Male Middle Aged Monitoring, Ambulatory - methods Predictive Value of Tests Risk Factors ROC Curve Standard deviation Time Factors Treatment Outcome
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Zusammenfassung:	Highlights • Glycemic variability indices correlate each other with r value of 0.5–0.8. • ICG, MODD, CONGA1 and MAGE are more strongly relates to SD than mean glucose. • Glycemic variability indices moderately relate to hypoglycemia. • Combination of mean and SD glucose is useful for predicting hypoglycemia.
ISSN:	1751-9918 1878-0210
DOI:	10.1016/j.pcd.2014.10.001