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Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease

Lei Zhang1,2, Xiao-Xuan Sun3,4, Qing-Shan Tian5

  • 1The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.

Acta Diabetologica
|March 12, 2024
PubMed

Insights

Continuous glucose monitoring (CGM) offers superior insights into diabetes glycemic control over HbA1c. CGM parameters like time in range are linked to cardiovascular disease complications, guiding better patient care.

Area of Science:

  • Endocrinology
  • Cardiology
  • Metabolic Diseases

Background:

  • Glycated hemoglobin A1c (HbA1c) is a standard but limited measure of diabetes glycemic control.
  • Continuous glucose monitoring (CGM) provides detailed, real-time glycemic data.
  • Emerging CGM metrics like time in range (TIR), time above range (TAR), and time below range (TBR) offer new insights into glycemic variability.

Purpose of the Study:

  • To comprehensively review the association between CGM-derived glycemic parameters and cardiovascular disease (CVD) complications.
  • To provide scientific evidence for the standardized clinical application of CGM metrics.
  • To guide better glycemic control strategies for preventing CVD in diabetes patients.

Main Methods:

  • Systematic literature review of domestic and international studies.
  • Analysis of research linking CGM parameters (TIR, TAR, TBR) to CVD complications.
  • Evaluation of clinical data on glycemic fluctuation and patient outcomes.

Main Results:

  • CGM-derived glycemic parameters are significantly associated with microvascular and macrovascular complications of diabetes.
  • These metrics correlate with cardiovascular disease complications and prognosis.
  • CGM data offers a more nuanced understanding of glycemic control than HbA1c alone.

Conclusions:

  • CGM parameters are valuable indicators for assessing glycemic control and predicting CVD risk in diabetes.
  • Standardized use of CGM metrics can improve clinical decision-making and patient outcomes.
  • Further research and clinical integration of CGM are crucial for diabetes management and CVD prevention.

Keywords:
CGMCardiovascular diseaseDiabetesGlycemic variability parametersTime in range (TIR)

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