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

• Published in: Diabetes care Vol. 42; no. 8; pp. 1593 - 1603
• Main Authors: 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., Phillip, Moshe
• Format: Journal Article
• Language: English
• Published: United States American Diabetes Association 01.08.2019
• Subjects: Blood Glucose - analysis; Blood Glucose Self-Monitoring - standards; Clinical medicine; Consensus; Data Accuracy; Data interpretation; Data Interpretation, Statistical; Diabetes; Diabetes mellitus; Diabetes Mellitus - blood; Endocrinology and metabolism; Glucose; Glucose monitoring; Glycated Hemoglobin - analysis; Human health and pathology; Humans; International Consensus Report; Internationality; Life Sciences; Medical personnel; Monitoring; Patient Care Planning; Physicians; Practice Guidelines as Topic; Reference Values; Time Factors

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...