Efficacy of FGM in Pregestational Diabetes (FlashMom)

December 7, 2020 updated by: Laura Sciacca, University of Catania

Efficacy of Flash Glucose Monitoring in Pregnant Women With Poorly Controlled Pregestational Diabetes (FlashMom): A Randomized Pilot Study

Diabetes is the most common metabolic disease complicating pregnancy, and the number of women in childbearing age facing this problem is rising worldwide. The clinical and social significance of pre-gestational diabetes has become an important issue in the area of public health because this disease can cause maternal complications and influence the development of the offspring during the pregnancy and later in life. Pregnancy in women with pregestational diabetes is indeed associated with adverse perinatal outcomes including large-for gestational- age infants (ranging from 48.8 to 62.5%), preterm delivery, and other perinatal complications. Large-for-gestational-age infants to mothers with diabetes are at increased risk for birth trauma, transient tachypnea, and neonatal hypoglycemia. For all these reasons, the medical costs and social burdens caused by this disease are problematic. The mainstay of managing diabetes during pregnancy is glucose monitoring. Conventionally, glucose monitoring is by self-monitoring of blood glucose (SMBG) involving multiple pricks to the patients. The limitations of these pricks include pain and a point-in-time assessment without evaluation of the complete glycemic profile before making therapeutic adjustments.

Introduction of continuous glucose monitoring (CGM) by measuring interstitial fluid glucose has overcome the deficits in SMBG by providing an overview of the glycemic profiles in patients. In most recent years another promising tool became available: the Flash Glucose Monitoring (FGM) system. Unlike traditional sensor systems, its wired enzyme sensor is calibrated in the factory and therefore requires no user calibrations (fingerstick blood glucose measurements) during the 14 days of wear. Recent studies demonstrated that FGM is effective in reducing glucose fluctuations and preventing hypoglycemic events in Type 1 and Type 2 diabetic patients. No evidence is to date available on the efficacy of FGM on the reduction of the perinatal adverse outcomes during pregnancy in women with pre-gestational diabetes.

The investigators propose to randomize a group of women with poorly controlled pregestational diabetes to receive SMBG (standard antenatal care) or FGM plus SMBG during pregnancy.

Study Overview

Status

Completed

Detailed Description

Specific Aims Aim 1: To compare the glycemic control and glucose variability during pregnancy and at first postpartum visit in the two randomized groups. This was accomplished by the evaluation of the mean glycated hemoglobin (HbA1c) levels and of several glucose variability indices during gestation and 1 month after delivery. Hypothesis: the real-time information provided by the FGM system improves glucose control and glycemic excursions during pregnancy and after delivery.

Aim 2: To compare the maternal and neonatal adverse outcomes in the two randomized groups at the time of delivery. This was accomplished by the evaluation of the rate of all the most important maternal and fetal-neonatal adverse outcomes (e.g. cesarean section, macrosomia, neonatal hypoglycemia) at the end of gestation. Hypothesis: the use of FGM reduces the rates of those adverse pregnancy outcomes related to maternal hyperglycemia.

Significance and Background Pre-gestational diabetes is still associated with adverse perinatal outcomes largely attributed to maternal hyperglycemia. The risk of adverse outcomes increases with HbA1c higher than 6-6.5% during gestation. Conversely, mean HbA1c levels <6% during the second and third trimester are associated with better outcomes and with the lowest risk of large-forgestational-age infants. Unfortunately, this goal is often difficult to achieve during pregnancy considering that approximately 60% of all pre-gestational diabetic women are poorly controlled at the time of conception and that maternal hypoglycemia should be avoided. Fasting and post-prandial SMBG are recommended in pre-gestational diabetic women to achieve glycemic control during gestation. Additional useful information on direction, frequency and duration of glycemic oscillations could be provided by the CGM. This system, in fact, allows the patients to prevent hypoglycemia and to reduce glucose oscillations measuring interstitial glucose levels continuously. Despite initial controversial results on the efficacy of the CGM technology during pregnancy, a recently published trial demonstrated that Real-Time use of CGM is associated with improved neonatal outcomes (which are likely to be attributed to reduced exposure to maternal hyperglycemia).

Unfortunately the existing CGM devices still need to be frequently calibrated, using a minimum of 2-5 daily monitored capillary blood glucose. The recent introduction of FGM using the factory-calibrated meter has emerged as a novel method to study glycemic patterns. FGM does not require finger prick calibration. The data are extrapolated using the inbuilt software to summarize the glycemic variability over 2 weeks. The glucose profile obtained using this system is called Ambulatory Glucose Profile (AGP). The usefulness of AGP has been studied in adults and pediatric patients affected by diabetes.

Nevertheless, to date there are no studies looking into the efficacy of this tool in women affected by pre-gestational (Type 1 and Type 2) diabetes during pregnancy. The investigators aim to evaluate the effectiveness of antenatal FGM on maternal glycemic control and pregnancy related morbidity in the offspring of mothers with poorly controlled Type 1 and Type 2 diabetes at the time of conception (peri-conception HbA1c ≥6.5%).

Study Type

Observational

Enrollment (Actual)

40

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Catania, Italy, 95122
        • University of Catania, Endocrinology Section, Garibaldi-Nesima Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Probability Sample

Study Population

The investigators carried out a multicenter randomized pilot trial by prospectively recruiting poorly controlled (peri-conception HbA1c >6.5%) pregestational T1D or T2D outpatients in 5 Italian Diabetes Medical Centers. Enrolling Centers were selected on the basis of the experience in following women with pregestational diabetes and on the presence of the neonatal intensive care unit.

Randomization was electronically generated at the first pregnancy visit according to a predefined randomization sequence. Women were assigned to either the control group (CG, using the standard SMBG at least 6 times daily) or Flash group (FG, using the FGM system continuously throughout gestation) in a 1:1 ratio.

Description

Inclusion Criteria:

  • Pregnant women with pregestational diabetes
  • HbA1c >6.5%

Exclusion Criteria

  • Gestational Diabetes
  • HbA1c <6.5%

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Self Monitoring Blood Glucose (SMBG)
Women used self-monitoring of blood glucose= Control group (CG)
Flash Glucose Monitoring (FGM)
Women used flash glucose monitoring= FGM group (FG)
Participants in the intervention group were advised to monitor glucose levels by means of flash glucose system.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Glycosylated Hemoglobin (HbA1c) concentration in blood samples
Time Frame: 38 weeks
To compare the efficacy of FGM on HbA1c reduction during pregnancy
38 weeks
coefficient of variation (CV): Adimensional coefficient calculated as the Standard Deviation divided by the mean of all glucose values expressed
Time Frame: 33 weeks
To compare the efficacy of FGM on glucose CV reduction during pregnancy
33 weeks
Mean amplitude of glycemic excursions (MAGE)= Adimensional coefficient calculated mean amplitude of glycemic excursions
Time Frame: 33 weeks
o compare the efficacy of FGM on MAGE reduction during pregnancy
33 weeks
Continuous overlapping net glycemic action (CONGA)= Adimensional coefficient calculated at 1 hour time interval
Time Frame: 33 weeks
To compare the efficacy of FGM on CONGA reduction during pregnancy
33 weeks
MODD= Adimensional coefficient calculated as mean of the daily serum glucose difference.
Time Frame: 33 weeks
To compare the efficacy of FGM on MODD reduction during pregnancy
33 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Macrosomia: Birth weight above 4000 grams regardless gestational age
Time Frame: At birth
Rate of macrosomic newborn
At birth
Large for Gestational Age (LGA)= weight at birth above the 90th percentile for gestational age
Time Frame: At birth
Rate of LGA newborn
At birth
Neonatal Hypoglycemia= plasma glucose level of less than 36 mg/dl
Time Frame: At birth
Rate of neonatal hypoglycemia
At birth
Premature delivery: <37 weeks of gestation
Time Frame: At birth
Rate of premature delivery
At birth
Cesarean section
Time Frame: At delivery
Rate of Cesarean section
At delivery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Laura Laura, MD, PhD, University of Catania

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 26, 2020

Primary Completion (Actual)

November 26, 2020

Study Completion (Actual)

November 26, 2020

Study Registration Dates

First Submitted

November 26, 2020

First Submitted That Met QC Criteria

December 7, 2020

First Posted (Actual)

December 14, 2020

Study Record Updates

Last Update Posted (Actual)

December 14, 2020

Last Update Submitted That Met QC Criteria

December 7, 2020

Last Verified

December 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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