Associations between HbA1c and continuous glucose monitoring-derived glycaemic variables

I B Hirsch1, J B Welsh2, P Calhoun2

  • 1University of Washington School of Medicine, Seattle, WA, USA.

Insights

Continuous glucose monitoring (CGM) metrics strongly correlate with HbA1c levels, offering insights into glucose control. These CGM metrics can guide diabetes therapy intensification independently of HbA1c alone.

Area of Science:

  • Endocrinology
  • Metabolic Diseases
  • Diabetes Technology

Background:

  • Glycemic control is crucial for managing diabetes.
  • HbA1c provides a long-term measure of average blood glucose.
  • Continuous glucose monitoring (CGM) offers real-time glucose data and derived metrics.

Purpose of the Study:

  • To identify clinically useful associations between HbA1c levels and various CGM-derived metrics.
  • To explore the relationship between traditional HbA1c measurements and advanced CGM parameters.

Main Methods:

  • Retrospective analysis of CGM data and HbA1c levels from 530 adults with Type 1 or insulin-requiring Type 2 diabetes.
  • Data collected from four randomized trials, each lasting at least 24 weeks.
  • Participants grouped by HbA1c levels or CGM-derived glucose values.

Main Results:

  • HbA1c strongly correlated with mean glucose (r=0.80) and time in range (r=-0.75).
  • Weak correlations were observed with time spent below 3.9 mmol/l (r=-0.39) or 3.0 mmol/l (r=-0.21).
  • Specific CGM metric thresholds (e.g., time in range >80%) were associated with HbA1c levels ≤53 mmol/mol (≤7.0%).

Conclusions:

  • CGM-derived metrics show strong associations with HbA1c.
  • These metrics may offer a complementary approach to guide diabetes therapy intensification.
  • CGM metrics may enable therapy adjustments independently of HbA1c levels.
Abstract

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