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The Relationship Between Percent Time <70 mg/dL and Percent Time <54 mg/dL Measured by Continuous Glucose Monitoring.

Roy W BeckDan RaghinaruPeter CalhounRichard M Bergenstal
Published in: Diabetes technology & therapeutics (2023)
Objective: While it is recognized that there is a strong relationship between the amount of time glucose levels are <70 mg/dL (T <70 ) and the amount of time <54 mg/dL (T <54 ), the association has not been well quantified. Methods: Datasets with Dexcom continuous glucose monitoring (CGM) data from nine type 1 diabetes randomized trials were pooled to evaluate the relationship between CGM-measured T <70 and T <54 . Penalized B-spline regression lines were fitted to assess the relationship between T <70 and T <54 for blinded CGM use, unblinded CGM use without an automated insulin delivery (AID) system, and unblinded CGM use with an AID system. Results: For blinded data, the T <54 : T <70 ratio varied from 19% when the amount of T <70 was <1% to 44% when the amount of T <70 was ≥7% whereas for unblinded data the ratio varied from 15% to 42%, respectively. When T <70 was 4%, the predicted T <54 was 1.18%, 0.94%, and 0.91% for the blinded, unblinded, and AID data, respectively ( P <0.001 comparing blinded versus unblinded and AID). Conclusions: The T <54 : T <70 ratio increases with greater T <70 , and the ratio generally is higher with blinded than unblinded CGM data, with the latter appearing to be similar to AID system data. The finding of greater T <54 for a given T <70 with blinded CGM data is presumed to be due to an action being taken by the unblinded CGM user and/or by the AID system to minimize hypoglycemia which will have the effect of reducing the amount of T <54 .
Keyphrases
  • type diabetes
  • electronic health record
  • big data
  • study protocol
  • cardiovascular disease
  • clinical trial
  • machine learning
  • deep learning
  • open label