Clinical Targets for Continuous Glucose Monitoring Data Interpretation:Recommendations From the International Consensus on Time in Range

Battelino, Tadej, Danne, Thomas, Bergenstal, Richard M, Amiel, Stephanie A, Beck, Roy, Biester, Torben, Bosi, Emanuele, Buckingham, Bruce A, Cefalu, William T, Close, Kelly L, Cobelli, Claudio, Dassau, Eyal, DeVries, J Hans, Donaghue, Kim C, Dovc, Klemen, Doyle, Francis J, Garg, Satish, Grunberger, George, Heller, Simon, Heinemann, Lutz, Hirsch, Irl B, Hovorka, Roman, Jia, Weiping, Kordonouri, Olga, Kovatchev, Boris, Kowalski, Aaron, Laffel, Lori, Levine, Brian, Mayorov, Alexander, Mathieu, Chantal, Murphy, Helen R, Nimri, Revital, Nørgaard, Kirsten, Parkin, Christopher G, Renard, Eric, Rodbard, David, Saboo, Banshi, Schatz, Desmond, Stoner, Keaton, Urakami, Tatsuiko, Weinzimer, Stuart A and Phillip, Moshe (2019) Clinical Targets for Continuous Glucose Monitoring Data Interpretation:Recommendations From the International Consensus on Time in Range. Diabetes Care, 42 (8). pp. 1593-1603. ISSN 0149-5992

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Abstract

Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the lack of clear and agreed-upon glycemic targets that both diabetes teams and people with diabetes can work toward. Although unified recommendations for use of key CGM metrics have been established in three separate peer-reviewed articles, formal adoption by diabetes professional organizations and guidance in the practical application of these metrics in clinical practice have been lacking. In February 2019, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address this issue. This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.

Item Type: Article
Additional Information: © 2019 by the American Diabetes Association.
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
Depositing User: LivePure Connector
Date Deposited: 27 Nov 2019 01:57
Last Modified: 18 Sep 2020 23:47
URI: https://ueaeprints.uea.ac.uk/id/eprint/73064
DOI: 10.2337/dci19-0028

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