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Defining Glycemic Variability in Very Low-Birthweight Infants: Data from a Continuous Glucose Monitoring System

Mateusz Jagła1, Izabela Szymońska1, Katarzyna Starzec1

  • 11 Institute of Pediatrics, Jagiellonian University Collegium Medicum, Kraków, Poland .

Diabetes Technology & Therapeutics
|September 22, 2018
PubMed

Insights

Glucose variability (GV) in very low-birthweight (VLBW) infants was investigated using continuous glucose monitoring (CGM). Most GV indices showed log-normal distribution, with geometric mean and geometric standard deviation (GSD) being key measures.

Area of Science:

  • Neonatal Medicine
  • Pediatric Endocrinology
  • Metabolic Research

Background:

  • Glucose variability (GV) is increasingly recognized for its association with oxidative stress and complications in premature infants.
  • Glycemic variability in preterm infants remains under-investigated, highlighting a gap in current medical knowledge.
  • Understanding GV is crucial for managing potential health issues in vulnerable VLBW infants.

Purpose of the Study:

  • To investigate glycemic variability using continuous glucose monitoring (CGM) in a cohort of very low-birthweight (VLBW) infants.
  • To characterize the distribution of various GV indices in this specific population.
  • To establish baseline data for future research on GV and its clinical implications in VLBW neonates.

Main Methods:

  • A prospective, single-center, open cohort study enrolled 74 VLBW infants.
  • Continuous glucose monitoring (CGM) system (Guardian Real-Time CGM) was employed to measure interstitial glucose.
  • Glycemic variability was calculated using the EasyGV software, analyzing multiple indices.

Main Results:

  • Most glycemic variability indices in VLBW infants exhibited a log-normal distribution.
  • Key indices calculated included M-value, MAGE, ADRR, lability index, J-index, low/high blood glucose index, CONGA, MODD, and coefficient of variation.
  • Standard deviation (SD) of glucose concentration was the only index showing a normal distribution; several other indices correlated with SD.

Conclusions:

  • The study found that nearly all glycemic variability indices in the VLBW infant cohort demonstrated a skewed positive distribution.
  • Geometric mean and geometric standard deviation (GSD) are appropriate measures for the central tendency and statistical variation of log-normally distributed GV data.
  • These findings provide essential insights into GV patterns in VLBW infants, informing clinical practice and future research directions.
Abstract

Keywords:
Continuous glucose monitoringGlycemic variabilityVery low-birthweight infants.

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