Fetal Cardiac Function Parameters and HbA1c As Screening for Gestational Diabetes Mellitus
NCT ID: NCT05019508
Last Updated: 2025-01-16
Study Results
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Basic Information
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COMPLETED
114 participants
OBSERVATIONAL
2021-08-13
2023-04-10
Brief Summary
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Detailed Description
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Per ACOG guidelines, women who are at an increased risk for undiagnosed pre-gestational diabetes mellitus or developing GDM should receive early screening when they initially present for prenatal care, most commonly in the late first or early second trimester.5 The best test for this early assessment is not yet established. Practices patterns vary between use of the two-step oral glucose tolerance screening and glycated hemoglobin (HbA1c). Use of the oral glucose tolerance tests for screening of GDM is well-established and the cut-offs determined for 24-28 week routine screening are used when the oral tolerance tests are administered in early pregnancy. An HbA1c level ≥6.5% is used to diagnose diabetes, however there is evidence that there is a higher rate of GDM diagnosis and poor outcomes with a HbA1c level as low as 5.6%. Women who are not diagnosed with GDM before 20 weeks, go on to routine screening at 24-28 weeks.
With the current protocols for early GDM screening, treatment of early glucose intolerance has not shown to improve neonatal outcomes, however. The methods and timing of current early GDM screening may not be identifying a population that is truly at risk of poor outcomes from glucose intolerance in the way routine screening with the two-step process does. More research into screening paradigms other than oral tolerance tests in early pregnancy is needed. A HbA1c level assesses the amount glycation of hemoglobin molecules in red blood cells, indirectly estimating the average blood glucose level over the past 8-12 weeks. HbA1c independently has not been shown to be adequately predictive of a GDM diagnosis in pregnancy. Many studies assessing the screening value of HbA1c obtain the value in the first trimester when a large portion of the 12 weeks prior is before significant placentation. A change in HbA1c in the first half of pregnancy, when combined with other clinical variables may be more predictive. Novel clinical variables should also be considered. There is evidence that even well-control pre-gestational and gestational diabetics show significant variation in fetal cardiac functional parameters such as interventricular septum thickness (IVS), the E/A ratio, and myocardial performance index (MPI). The predictive value of these changes for glucose intolerance has not yet been investigated.
This is be a prospective cohort study to assess the predictive value of fetal cardiac parameters, the change in fetal cardiac parameters (CFP), HbA1c, and/or the change in HbA1c (ΔHbA1c) for gestational diabetes.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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High Risk for Gestational Diabetes Mellitus (GDM)
High risk women screened with HbA1c at initiation of prenatal care who were not diagnosed with Type 2 Diabetes Mellitus or Early GDM.
These women will have Fetal Cardiac Function Parameters at their 20 week anatomy scan (E/A ratio, IVS, MPI). At their 24-28 week routine GDM screening, we will repeat the HbA1c and will repeat the E/A ratio, IVS, MPI. If women have a growth scan for any reason between 32 and 36 weeks, E/A ratio, IVS, and MPI will be repeated at those times.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Risk for GDM including any of the following:
* Obese
* History of GDM
* History of macrosomia
* Twin gestation
* PCOS
* Family history of diabetes
Exclusion Criteria
* women with pre-gestational diabetes
* nonviable pregnancy
* fetal anomalies
18 Years
50 Years
FEMALE
Yes
Sponsors
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University of Virginia
OTHER
Responsible Party
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Christopher S. Ennen
Associate Professor of Medicine
Principal Investigators
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Christoher Ennen, MD
Role: STUDY_DIRECTOR
UVA
Locations
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University of Virginia
Charlottesville, Virginia, United States
Countries
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Other Identifiers
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210175
Identifier Type: -
Identifier Source: org_study_id
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