Evaluating Glucose Control With a Novel Composite Continuous Glucose Monitoring Index. (March 2020)

• Record Type: Journal Article
• Authors: Leelarathna, Lalantha; Thabit, Hood; Wilinska, Malgorzata E.; Bally, Lia; Mader, Julia K.; Pieber, Thomas R.; Benesch, Carsten; Arnolds, Sabine; Johnson, Terri; Heinemann, Lutz; Hermanns, Norbert; Evans, Mark L.; Hovorka, Roman
• Is Part Of: Journal of diabetes science and technology. Volume 14:Number 2(2020:Mar.)
• Page Start: 277
• Page End: 283
• Publication Date: 2020-03
• Subjects: continuous glucose monitoring -- type 1 diabetes -- closed-loop insulin delivery; Diabetes -- Periodicals; Medical technology -- Periodicals; Diabetes Mellitus -- Periodicals; 616.462005
• DOI: 10.1177/1932296819838525
• Languages: English
• ISSNs: 1932-2968

Abstract

Objective: The objective was to describe a novel composite continuous glucose monitoring index (COGI) and to evaluate its utility, in adults with type 1 diabetes, during hybrid closed-loop (HCL) therapy and multiple daily injections (MDI) therapy combined with real-time continuous glucose monitoring (CGM). Methods: COGI consists of three key components of glucose control as assessed by CGM: Time in range (TIR), time below range (TBR), and glucose variability (GV) (weighted by 50%, 35% and 15%). COGI ranges from 0 to 100, where 1% increase of time <3.9 mmol/L (<70 mg/dl) is equivalent to 4.7% reduction of TIR between 3.9-10 mmol/L (70-180 mg/dl), and 0.5 mmol/L (9 mg/dl) increase in standard deviation is equivalent to 3% reduction in TIR. Results: Continuous subcutaneous insulin infusion (CSII) users with HbA1c >7.5-10%, had significantly higher COGI during 12 weeks of HCL compared to sensor-augmented pump therapy, mean (SD), 60.3 (8.6) versus 69.5 (6.9), P < .001. Similarly, in CSII users with HbA1c <7.5%, HCL improved COGI from 59.9 (11.2) to 74.8 (6.6), P < .001. In MDI users with HbA1c >7.5% to 9.9%, use of real-time CGM led to improved COGI, 49.8 (14.2) versus 58.2 (9.1), P < .0001. In MDI users with impaired awareness of hypoglycemia, use of real-time CGM led to improved COGI, 53.4 (12.2) versus 66.7 (11.1), P < .001. Conclusions: COGI summarizes three key aspects of CGM data into a concise metric that could be utilized to evaluate the quality of glucose control and to demonstrate the incremental benefit of a wide range of treatment modalities.