THE IMPORTANCE OF CONTINUOUS GLUCOSE MONITORING AND DIETARY DECISIONS IN GESTATIONAL DIABETES MELLITUS

Authors

  • Catalina Georgiana TUDOR Cuza-Voda Clinical Hospital of Obstetrics and Gynecology, Iasi
  • D. V. TIMOFTE Grigore Popa University of Medicine and Pharmacy Iasi
  • D. URECHE Vasile Alecsandri University of Bacau
  • Ramona-Alexandra CIAUSU Alexandru Ioan Cuza University of Iasi / Doctoral School of Geosciences
  • M. N. NICOARA Alexandru Ioan Cuza University of Iasi / Doctoral School of Geosciences
  • T. CIOBOTARIU Grigore Popa University of Medicine and Pharmacy Iasi
  • Anastasia-Melania MIHALACHE Grigore Popa University of Medicine and Pharmacy Iasi
  • V. POROCH Grigore Popa University of Medicine and Pharmacy Iasi
  • R. C. TIUTIUCA Grigore Popa University of Medicine and Pharmacy Iasi
  • B. DOROFTEI Cuza-Voda Clinical Hospital of Obstetrics and Gynecology, Iasi

DOI:

https://doi.org/10.22551/MSJ.2025.04.04

Abstract

Gestational diabetes mellitus (GDM) poses significant risks to both the mother and fetus if not managed appropriately. Continuous glucose monitoring (CGM) provides comprehensive glycemic profiles that support individualized dietary interventions. Materials and methods: We discuss here about 44 pregnant women diagnosed with GDM, illustrating how CGM data can be used to optimize glycemic control through specific nutritional strategies. Continuous interstitial glucose measurements were obtained using the Dexcom ONE+ CGM sensor, with monitoring initiated at 27-28 weeks and continued through 39 weeks of gestation. Results: Fasting blood glucose averaged 112 mg/dL. One-hour postprandial glucose differed by meal type (ANOVA, p<0.001), with high-carbohydrate meals producing the highest values, followed by fruits, protein/low-carb meals and snacks (Tukey post-hoc). Two-hour postprandial glucose showed a similar pattern (ANOVA, p<.001). Differences between CGM readings and true glucose levels were larger in participants who experienced false low-glucose alarms, and this difference was statistically significant (t-test, p<0.001). Conclusions: Our data highlights the value of integrating CGM technology with personalized nutritional plans in the effective management of GDM.

Author Biographies

  • Catalina Georgiana TUDOR, Cuza-Voda Clinical Hospital of Obstetrics and Gynecology, Iasi

    Grigore T. Popa University of Medicine and Pharmacy Iasi

  • D. V. TIMOFTE, Grigore Popa University of Medicine and Pharmacy Iasi

    Sf. Spiridon County Clinical Hospital Emergency, Iasi

  • B. DOROFTEI, Cuza-Voda Clinical Hospital of Obstetrics and Gynecology, Iasi

    Grigore T. Popa University of Medicine and Pharmacy Iasi
    Origyn Fertility Center, Iasi

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Additional Files

Published

2025-12-19

Issue

Section

INTERNAL MEDICINE - PEDIATRICS