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Glucose sensor evaluation of glycemic instability in pediatric type 1 diabetes mellitus

Ramin Alemzadeh1, Cindy Loppnow, Elaine Parton

  • 1Department of Pediatrics, MACC Fund Research Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA. ralemzad@mcw.edu

Insights

Glycemic instability in children with type 1 diabetes mellitus is linked to lipohypertrophy and insulin dosing. Continuous Glucose Monitoring System (CGMS) data helps identify factors affecting blood glucose (BG) fluctuations.

Area of Science:

  • Pediatrics
  • Endocrinology
  • Metabolic Diseases

Background:

  • Maintaining target blood glucose (BG) levels is challenging for children with type 1 diabetes mellitus (DM).
  • Glycemic instability and frequent hypoglycemia are common concerns in this population.
  • Continuous Glucose Monitoring Systems (CGMS) offer detailed insights into BG patterns.

Purpose of the Study:

  • To identify factors contributing to glycemic instability in pediatric patients with type 1 DM.
  • To analyze CGMS profiles for correlations with clinical parameters.
  • To characterize BG variability in children experiencing frequent fluctuations.

Main Methods:

  • Analysis of 48-hour CGMS data from 30 pediatric patients with type 1 DM and a history of BG fluctuations.
  • Calculation of Mean Blood Glucose (MBG), Absolute Means of Daily Differences (MODD), Mean Amplitude of Glycemic Excursion (MAGE), and number of hypoglycemic events.
  • Statistical correlation analysis between CGMS metrics and factors like glycosylated hemoglobin (HbA1c) and lipohypertrophy.

Main Results:

  • Significant correlation found between MBG and HbA1c.
  • Severity of lipohypertrophy correlated significantly with both HbA1c and MODD values.
  • MAGE values positively correlated with bolus:basal insulin ratio and number of hypoglycemic events.

Conclusions:

  • CGMS 48-hour profiles effectively characterize BG variability in children with type 1 DM.
  • Injection site lipohypertrophy and insulin dosing strategies are significant factors influencing glycemic instability.
  • Identifying these factors can aid in optimizing diabetes management for improved BG control.

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