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

Tadej Battelino; Thomas Danne; Richard M Bergenstal; Stephanie A Amiel; Roy Beck; Torben Biester; Emanuele Bosi; Bruce A Buckingham; William T Cefalu; Kelly L Close; Claudio Cobelli; Eyal Dassau; J Hans DeVries; Kim C Donaghue; Klemen Dovc; Francis J Doyle; Satish Garg; George Grunberger; Simon Heller; Lutz Heinemann; Irl B Hirsch; Roman Hovorka; Weiping Jia; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; Brian Levine; Alexander Mayorov; Chantal Mathieu; Helen R Murphy; Revital Nimri; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; David Rodbard; Banshi Saboo; Desmond Schatz; Keaton Stoner; Tatsuiko Urakami; Stuart A Weinzimer; Moshe Phillip

doi:https://doi.org/10.2337/dci19-0028

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

Tadej Battelino, Thomas Danne, Richard M Bergenstal, Stephanie A Amiel, Roy Beck, Torben Biester, Emanuele Bosi, Bruce A Buckingham, William T Cefalu, Kelly L Close, Claudio Cobelli, Eyal Dassau, J Hans DeVries, Kim C Donaghue, Klemen Dovc, Francis J Doyle, Satish Garg, George Grunberger, Simon Heller, Lutz HeinemannIrl B Hirsch, Roman Hovorka, Weiping Jia, Olga Kordonouri, Boris Kovatchev, Aaron Kowalski, Lori Laffel, Brian Levine, Alexander Mayorov, Chantal Mathieu, Helen R Murphy, Revital Nimri, Kirsten Nørgaard, Christopher G Parkin, Eric Renard, David Rodbard, Banshi Saboo, Desmond Schatz, Keaton Stoner, Tatsuiko Urakami, Stuart A Weinzimer, Moshe Phillip

Endocrinology (AMC)

Research output: Contribution to journal › Review article › Academic › peer-review

2072 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1593-1603
Number of pages	11
Journal	Diabetes Care
Volume	42
Issue number	8
DOIs	https://doi.org/10.2337/dci19-0028
Publication status	Published - Aug 2019

Access to Document

https://doi.org/10.2337/dci19-0028

https://care.diabetesjournals.org/content/diacare/42/8/1593.full.pdf

Cite this

Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., Cobelli, C., Dassau, E., DeVries, J. H., Donaghue, K. C., Dovc, K., Doyle, F. J., Garg, S., Grunberger, G., Heller, S., ... Phillip, M. (2019). Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care, 42(8), 1593-1603. https://doi.org/10.2337/dci19-0028

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

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.",

author = "Tadej Battelino and Thomas Danne and Bergenstal, {Richard M} and Amiel, {Stephanie A} and Roy Beck and Torben Biester and Emanuele Bosi and Buckingham, {Bruce A} and Cefalu, {William T} and Close, {Kelly L} and Claudio Cobelli and Eyal Dassau and DeVries, {J Hans} and Donaghue, {Kim C} and Klemen Dovc and Doyle, {Francis J} and Satish Garg and George Grunberger and Simon Heller and Lutz Heinemann and Hirsch, {Irl B} and Roman Hovorka and Weiping Jia and Olga Kordonouri and Boris Kovatchev and Aaron Kowalski and Lori Laffel and Brian Levine and Alexander Mayorov and Chantal Mathieu and Murphy, {Helen R} and Revital Nimri and Kirsten N{\o}rgaard and Parkin, {Christopher G} and Eric Renard and David Rodbard and Banshi Saboo and Desmond Schatz and Keaton Stoner and Tatsuiko Urakami and Weinzimer, {Stuart A} and Moshe Phillip",

note = "{\textcopyright} 2019 by the American Diabetes Association.",

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language = "English",

volume = "42",

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journal = "Diabetes Care",

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Battelino, T, Danne, T, Bergenstal, RM, Amiel, SA, Beck, R, Biester, T, Bosi, E, Buckingham, BA, Cefalu, WT, Close, KL, Cobelli, C, Dassau, E, DeVries, JH, Donaghue, KC, Dovc, K, Doyle, FJ, Garg, S, Grunberger, G, Heller, S, Heinemann, L, Hirsch, IB, Hovorka, R, Jia, W, Kordonouri, O, Kovatchev, B, Kowalski, A, Laffel, L, Levine, B, Mayorov, A, Mathieu, C, Murphy, HR, Nimri, R, Nørgaard, K, Parkin, CG, Renard, E, Rodbard, D, Saboo, B, Schatz, D, Stoner, K, Urakami, T, Weinzimer, SA & Phillip, M 2019, 'Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range', Diabetes Care, vol. 42, no. 8, pp. 1593-1603. https://doi.org/10.2337/dci19-0028

TY - JOUR

T1 - Clinical Targets for Continuous Glucose Monitoring Data Interpretation

T2 - Recommendations From the International Consensus on Time in Range

AU - Battelino, Tadej

AU - Danne, Thomas

AU - Bergenstal, Richard M

AU - Amiel, Stephanie A

AU - Beck, Roy

AU - Biester, Torben

AU - Bosi, Emanuele

AU - Buckingham, Bruce A

AU - Cefalu, William T

AU - Close, Kelly L

AU - Cobelli, Claudio

AU - Dassau, Eyal

AU - DeVries, J Hans

AU - Donaghue, Kim C

AU - Dovc, Klemen

AU - Doyle, Francis J

AU - Garg, Satish

AU - Grunberger, George

AU - Heller, Simon

AU - Heinemann, Lutz

AU - Hirsch, Irl B

AU - Hovorka, Roman

AU - Jia, Weiping

AU - Kordonouri, Olga

AU - Kovatchev, Boris

AU - Kowalski, Aaron

AU - Laffel, Lori

AU - Levine, Brian

AU - Mayorov, Alexander

AU - Mathieu, Chantal

AU - Murphy, Helen R

AU - Nimri, Revital

AU - Nørgaard, Kirsten

AU - Parkin, Christopher G

AU - Renard, Eric

AU - Rodbard, David

AU - Saboo, Banshi

AU - Schatz, Desmond

AU - Stoner, Keaton

AU - Urakami, Tatsuiko

AU - Weinzimer, Stuart A

AU - Phillip, Moshe

PY - 2019/8

Y1 - 2019/8

N2 - 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.

AB - 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.

U2 - https://doi.org/10.2337/dci19-0028

DO - https://doi.org/10.2337/dci19-0028

M3 - Review article

C2 - 31177185

SN - 0149-5992

VL - 42

SP - 1593

EP - 1603

JO - Diabetes Care

JF - Diabetes Care

IS - 8

ER -