The CGMS in GDM Labor and Delivery Study
CGMSGDMLABOR
Role of Continuous Glucose Monitoring Systems (CGMS) for Intrapartum Metabolic Control in Gestational Diabetic (GDM)Women
1 other identifier
interventional
61
1 country
1
Brief Summary
Glucose control during labor is important for both fetus and mother. During labor and delivery, the goal is to maintain the sugars in the normal range as safely as possible as increased blood sugars 4-6 h prior to delivery leads to increased rates of hypoglycemia in the neonate. Neonatal hypoglycemia is a risk for the offspring of pregnant women with diabetes and occurs when fetal pancreatic hyperplasia is acutely stimulated by a high fetal glucose level derived from maternal hyperglycemia during labor. The maternal blood glucose level during delivery is a predictor of the neonatal blood glucose level. Modern continuous glucose monitoring (CGM) systems can capture the direction and magnitude of short-lived changes in interstitial glucose levels and are therefore useful for assessing glucose variability more accurately than self-monitoring blood glucose (SMBG) measurements. Indeed, it has already been demonstrated that intermittent blood glucose monitoring underestimates the number of hyperglycemic events, because blood glucose excursions can peak at different times of day. CGMs can help identify glycemic patterns in pregnancy, obtain and maintain glucose targets, and reduce hypoglycemia. Strict glycemic control during labor and delivery may reduce the risk of neonatal hypoglycemia. Two groups have reported on the use of CGM in type 1 diabetics during labor in small pilot studies. Another study looked at effects of maternal glucose levels in insulin-treated women during labor and delivery (2 to 8 h before birth) and resultant neonatal hypoglycemia. The researchers found that maternal hyperglycemia before delivery was correlated with neonatal hypoglycemia. Although more studies are needed, CGM use has promise as a therapy to improve outcomes in pregnancies associated with diabetes. In this study, the investigators plan to explore whether the use of blinded glucose monitoring during labor, delivery, and early postpartum supplementary to normally monitored plasma glucose measurements in women with gestational diabetes (GDM) would provide useful information to improve glycemia during labor in this diabetic population. All CGM data will be masked and therefore not available to participants, clinicians, or researchers at the time of delivery. Participants otherwise will receive standard clinical care. The blinded glucose monitoring data on glycemia throughout labor and post-delivery will be retrospectively assessed.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 22, 2021
CompletedFirst Posted
Study publicly available on registry
October 5, 2021
CompletedStudy Start
First participant enrolled
November 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 18, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
April 18, 2023
CompletedAugust 28, 2023
August 1, 2023
1.5 years
September 22, 2021
August 24, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Average percentage time in target glucose range
average time in hours and minutes spent in target glucose range
up to 10 days
Secondary Outcomes (3)
average time spent in hyperglycemia (time above target range)
up to 10 days
average time spent in hypoglycemia (time below target range)
up to 10 days
neonatal hypoglycemia
up to 2 hours post delivery
Other Outcomes (1)
postpartum 2 hour 75 gram OGTT results from mother
from 6 to 12 weeks after delivery
Study Arms (1)
Blinded CGM
EXPERIMENTALBlinded continuous glucose monitor Dexcom G6Pro
Interventions
CGM that records blood glucose but is not visible to patient or provider in real-time
Eligibility Criteria
You may qualify if:
- singleton pregnancy
- a positive oral glucose tolerance test
- written informed consent
- labor scheduled for term induction (37-40 weeks)
You may not qualify if:
- prior diagnosis of type 1 or type 2 diabetes mellitus
- presence of infection
- Presence of significant systemic disease or other severe metabolic, endocrine, or medical co-morbidities
- History of bariatric surgery or other surgeries that induce malabsorption
- Long-term use (\>2 weeks) of systemic steroids prior to enrollment
- Multiple pregnancy
- Participants already using glucose lowering medications (metformin or insulin) for diabetes before study entry (can be used after diagnosis of GDM)
- Fetal growth restriction due to placental dysfunction or known congenital anomaly
- History of major depressive or other severe psychiatric disorders or inpatient psychiatric treatment up to 1 year before enrolment
- Inability or refusal to comply with protocol
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Woman'slead
- DexCom, Inc.collaborator
Study Sites (1)
Woman's Hospital
Baton Rouge, Louisiana, 70815, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Karen Elkind-Hirsch, PhD
Woman's Hospital, Louisiana
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 22, 2021
First Posted
October 5, 2021
Study Start
November 1, 2021
Primary Completion
April 18, 2023
Study Completion
April 18, 2023
Last Updated
August 28, 2023
Record last verified: 2023-08
Data Sharing
- IPD Sharing
- Will not share
The proposed research will involve a small sample (less than 65 subjects) recruited from clinical facilities at Woman's Hospital. Despite the removal of all identifiers, we believe that it would be difficult if not impossible to protect the identities of subjects. So even though the final dataset will be stripped of identifiers prior to release for sharing, we assume that there remains the possibility of deductive disclosure of subjects with unusual characteristics. Thus, we will make the de- identified data and associated documentation available to users only under a data-sharing agreement that provides for: (1) a commitment to using the data only for research purposes and not to identify any individual participant; (2) a commitment to securing the data using appropriate computer technology; and (3) a commitment to destroying or returning the data after analyses are completed