A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings.
Author
Klonoff, David CWang, Jing
Rodbard, David
Kohn, Michael A
Li, Chengdong
Liepmann, Dorian
Kerr, David
Ahn, David
Peters, Anne L
Umpierrez, Guillermo E
Seley, Jane Jeffrie
Xu, Nicole Y
Nguyen, Kevin T
Simonson, Gregg
Agus, Michael S D
Al-Sofiani, Mohammed E
Armaiz-Pena, Gustavo
Bailey, Timothy S
Basu, Ananda
Battelino, Tadej
Bekele, Sewagegn Yeshiwas
Benhamou, Pierre-Yves
Bequette, B Wayne
Blevins, Thomas
Breton, Marc D
Castle, Jessica R
Chase, James Geoffrey
Chen, Kong Y
Choudhary, Pratik
Clements, Mark A
Close, Kelly L
Cook, Curtiss B
Danne, Thomas
Doyle, Francis J
Drincic, Angela
Dungan, Kathleen M
Edelman, Steven V
Ejskjaer, Niels
Espinoza, Juan C
Fleming, G Alexander
Forlenza, Gregory P
Freckmann, Guido
Galindo, Rodolfo J
Gomez, Ana Maria
Gutow, Hanna A
Heinemann, Lutz
Hirsch, Irl B
Hoang, Thanh D
Hovorka, Roman
Jendle, Johan H
Ji, Linong
Joshi, Shashank R
Joubert, Michael
Koliwad, Suneil K
Lal, Rayhan A
Lansang, M Cecilia
Lee, Wei-An Andy
Leelarathna, Lalantha
Leiter, Lawrence A
Lind, Marcus
Litchman, Michelle L
Mader, Julia K
Mahoney, Katherine M
Mankovsky, Boris
Masharani, Umesh
Mathioudakis, Nestoras N
Mayorov, Alexander
Messler, Jordan
Miller, Joshua D
Mohan, Viswanathan
Nichols, James H
Nørgaard, Kirsten
O'Neal, David N
Pasquel, Francisco J
Philis-Tsimikas, Athena
Pieber, Thomas
Phillip, Moshe
Polonsky, William H
Pop-Busui, Rodica
Rayman, Gerry
Rhee, Eun-Jung
Russell, Steven J
Shah, Viral N
Sherr, Jennifer L
Sode, Koji
Spanakis, Elias K
Wake, Deborah J
Waki, Kayo
Wallia, Amisha
Weinberg, Melissa E
Wolpert, Howard
Wright, Eugene E
Zilbermint, Mihail
Kovatchev, Boris
Date
2022-03-29Journal
Journal of Diabetes Science and TechnologyPublisher
SAGE Publications Inc.Type
Article
Metadata
Show full item recordAbstract
Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.Keyword
ambulatory glucose profilecomposite metric
continuous glucose monitor
diabetes
glycemia risk index
hyperglycemia
hypoglycemia
time in range
Identifier to cite or link to this item
http://hdl.handle.net/10713/18597ae974a485f413a2113503eed53cd6c53
10.1177/19322968221085273
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