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Area of Science:

  • Endocrinology
  • Diabetes Management
  • Biomedical Engineering

Background:

  • Glycemic variability (GV) is a key metric for managing type 1 diabetes (T1D).
  • Within-day coefficient of variation (%CVw) is recommended for assessing GV, with high GV (hGV) defined as %CVw > 36%.
  • Continuous glucose monitoring (CGM) devices primarily provide total CV (%CVT), creating a potential disparity in GV assessment.

Purpose of the Study:

  • To evaluate the consequences of using %CVT versus %CVw for assessing glycemic variability in T1D patients.
  • To determine the extent of inconsistency in classifying high glycemic variability based on different CV calculation methods.

Main Methods:

  • Retrospective analysis of 14-day CGM raw data from 104 T1D patients.
  • Calculation of both %CVT and %CVw for each patient.
  • Identification of an 'inconsistent GV group' with %CVT > 36% and %CVw ≤ 36%.

Main Results:

  • Mean ± SD %CVT was 42.4 ± 8% and %CVw was 37.0 ± 7.4% (P < 0.0001).
  • Using %CVT classified 73.6% of patients as having hGV, compared to 53.6% using %CVw (P < 0.0001).
  • A significant portion (21%) of patients fell into the inconsistent GV group.

Conclusions:

  • The method used to calculate glycemic variability significantly impacts classification in T1D patients.
  • Standardization of GV calculation methods, specifically %CVT and %CVw, is essential for reliable clinical assessment.
  • Discrepancies highlight the need for standardized protocols in CGM data analysis for T1D management.