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Diabetes Care· 2019Q1

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 et al.

Short summary

An international consensus panel established clear, actionable targets for interpreting continuous glucose monitoring (CGM) data, aiming to improve its clinical utility.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Growing adoption of CGM is limited by a lack of clear, agreed-upon glycemic targets.
  • An international panel of physicians, researchers, and individuals with diabetes convened to address this gap.
  • The consensus provides recommendations for the utilization and reporting of key CGM data.
  • The goal is to improve the practical application of CGM metrics in clinical practice.

AI-generated from the title and abstract; the full text is not read.

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.

The authors' abstract, as published at the source. Diabetes Care, 2019 · DOI ↗

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Field: Endocrinology, Diabetes and Metabolism

Endocrinology, Diabetes and MetabolismMedicine