Glycemic Variability Patterns Strongly Correlate With Partial Remission Status in Children With Newly Diagnosed Type

Olivier G Pollé1,2, Antoine Delfosse1,2, Manon Martin3

  • 1Pôle de PEDI, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.

Diabetes Care
|August 22, 2022
PubMed

Insights

Continuous glucose monitoring (CGM) metrics effectively track type 1 diabetes remission in children, outperforming traditional β-cell secretion estimates. These CGM insights reveal distinct glycemic patterns and aid in classifying patient subgroups for better management.

Area of Science:

  • Endocrinology and Metabolism
  • Pediatric Diabetes Research
  • Biomedical Data Science

Background:

  • Evaluating partial remission in new-onset type 1 diabetes (T1D) in pediatric patients is crucial for long-term management.
  • Traditional markers like residual β-cell secretion estimates may not fully capture the nuances of glycemic control during remission.
  • Continuous glucose monitoring (CGM) offers detailed insights into glucose variability and patterns.

Purpose of the Study:

  • To determine if glycemic variability indexes from CGM can better assess partial remission in pediatric T1D compared to residual β-cell secretion estimates.
  • To longitudinally evaluate remission status in a cohort of children with new-onset T1D using CGM data.

Main Methods:

  • Longitudinal data (1 year) on residual β-cell secretion, clinical parameters (HbA1c, insulin dose), and CGM metrics were collected from 78 pediatric T1D patients.
  • Circadian CGM patterns were analyzed and correlated with remission status using mixed-effects models.
  • Patients were clustered based on CGM metrics and clinical parameters using nonparametric ANOVA.

Main Results:

  • CGM metrics strongly correlated with clinical parameters (r² > 0.52) and effectively distinguished between patients in remission and those not.
  • Remitters exhibited distinct early morning circadian glucose patterns with improved stability (63-140 mg/dL) and reduced hypoglycemia.
  • Four novel glucotypes were identified through CGM analysis, segregating patients and reflecting remission evolution.

Conclusions:

  • CGM metrics, combined with clinical parameters, provide a comprehensive understanding of glucose homeostasis and remission status in pediatric T1D during the first year post-diagnosis.
  • Glycemic variability indexes derived from CGM are superior to residual β-cell secretion estimates for longitudinal evaluation of partial remission in pediatric T1D.
Abstract

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