Literature DB >> 15327605

Day-to-day glucose variability during pregnancy in women with Type 1 diabetes mellitus: glucose profiles measured with the Continuous Glucose Monitoring System.

Anneloes Kerssen1, Harold W de Valk, Gerard H A Visser.   

Abstract

OBJECTIVE: To observe day-to-day variability in glucose levels in pregnant women with Type 1 diabetes using the Continuous Glucose Monitoring System (CGMS) and to assess the usefulness of continuous glucose measurements for adjustment of insulin treatment.
DESIGN: A prospective observational study.
SETTING: The obstetrical outpatient clinic of the University Medical Centre Utrecht. POPULATION: Pregnant women with Type 1 diabetes mellitus.
METHODS: Thirty-one pregnant women with Type 1 diabetes used the CGMS for two consecutive days. Patients were classified in two groups (high vs low day-to-day variability) based on visual inspection of the glucose excursions. The relationship between day-to-day variability and the variables HbA(1c), maternal age and body mass index (BMI), duration of diabetes, number of self-monitored blood glucose levels, number of insulin injections, gestational age, nutrition, physical activity, White classification, living with children and method of insulin administration was determined. The two days of the first 20 CGMS measurements were separated and four physicians were asked to give recommendations on treatment adjustment for each separate day. MAIN OUTCOME MEASURES: Mean absolute difference (MAD) was calculated for each patient as measure of day-to-day variability.
RESULTS: Seventeen patients (55%) were classified as having low (MAD 0.92-2.33 mmol/L) and 14 (45%) as having high day-to-day variability (MAD 2.41-6.12 mmol/L). Of the variables measured, only the relation between MAD and HbA(1c) was significant (r= 0.58, P= 0.001). The difference in recommendation on treatment adjustment between the days of the CGMS measurement ranged from 29% to 48%. This percentage was significantly higher in the high day-to-day variability group (48 vs 33%, P= 0.01).
CONCLUSION: Day-to-day glucose variability is high and the treatment of pregnant women with Type 1 diabetes is a problem. Fine-tuning of insulin regimens based on two-day measurements with the CGMS is not advisable.

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Year:  2004        PMID: 15327605     DOI: 10.1111/j.1471-0528.2004.00203.x

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  7 in total

1.  Do HbA1c levels and the self-monitoring of blood glucose levels adequately reflect glycaemic control during pregnancy in women with type 1 diabetes mellitus?

Authors:  A Kerssen; H W de Valk; G H A Visser
Journal:  Diabetologia       Date:  2005-12-09       Impact factor: 10.122

2.  A review of current evidence with continuous glucose monitoring in patients with diabetes.

Authors:  Christophe De Block; Begoña Manuel-y-Keenoy; Luc Van Gaal
Journal:  J Diabetes Sci Technol       Date:  2008-07

Review 3.  Role of continuous glucose monitoring in the management of diabetic pregnancy.

Authors:  Niranjala M Hewapathirana; Esther O'Sullivan; Helen R Murphy
Journal:  Curr Diab Rep       Date:  2013-02       Impact factor: 4.810

Review 4.  CGM, Pregnancy, and Remote Monitoring.

Authors:  Sarit Polsky; Rachel Garcetti
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

5.  Unblinded CGM Should Replace Blinded CGM in the Clinical Management of Diabetes.

Authors:  David Ahn; Jeremy Pettus; Steven Edelman
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

6.  Management of gestational diabetes mellitus.

Authors:  Annunziata Lapolla; Maria Grazia Dalfrà; Domenico Fedele
Journal:  Diabetes Metab Syndr Obes       Date:  2009-06-17       Impact factor: 3.168

7.  Shape information from glucose curves: functional data analysis compared with traditional summary measures.

Authors:  Kathrine Frey Frøslie; Jo Røislien; Elisabeth Qvigstad; Kristin Godang; Jens Bollerslev; Nanna Voldner; Tore Henriksen; Marit B Veierød
Journal:  BMC Med Res Methodol       Date:  2013-01-17       Impact factor: 4.615

  7 in total

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