학술논문

Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice
Document Type
Academic Journal
Source
Endocrine Reviews. April, 2023, Vol. 44 Issue 2, p254, 27 p.
Subject
United States
Israel
Denmark
France
United Kingdom
Language
English
ISSN
0163-769X
Abstract
The significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal glucose levels has been shown to prevent or delay the progression of the long-term complications of diabetes, a significant proportion of PwD are not attaining their glycemic goals. During the past 6 years, we have seen tremendous advances in automated insulin delivery (AID) technologies. Numerous randomized controlled trials and real-world studies have shown that the use of AID systems is safe and effective in helping PwD achieve their long-term glycemic goals while reducing hypoglycemia risk. Thus, AID systems have recently become an integral part of diabetes management. However, recommendations for using AID systems in clinical settings have been lacking. Such guided recommendations are critical for AID success and acceptance. All clinicians working with PwD need to become familiar with the available systems in order to eliminate disparities in diabetes quality of care. This report provides much-needed guidance for clinicians who are interested in utilizing AIDs and presents a comprehensive listing of the evidence payers should consider when determining eligibility criteria for AID insurance coverage. Key Words: automated insulin delivery, closed-loop, type 1 diabetes, consensus recommendations Abbreviations: AID, automated insulin delivery; ATTD, Advanced Technologies & Treatments for Diabetes; CGM, continuous glucose monitoring; CSII, continuous subcutaneous insulin infusion; DKA, diabetic ketoacidosis; FDA, U.S. Food and Drug Administration; GLP-1, glucagon-like peptide 1; HbA1c, glycated hemoglobin; MDI, multiple daily injections; MPC, model predictive control; PID, proportional integral derivative; PLGS, predictive low glucose suspend; PwD, people with diabetes; RCT, randomized controlled trial; SAP, sensor augmented pump; SGLT2, sodium-glucose cotransporter 2; SH, severe hypoglycemia; T1D, type 1 diabetes; TAR, time above range; TBR, time below range; TIR, time in range.
Diabetes is a chronic, demanding condition that poses a constant burden both on people with diabetes and on healthcare systems. Only a minority of persons with type 1 diabetes (T1D) [...]