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CAPO: Continuous Glucose Monitoring in A2 Gestational Diabetes and Pregnancy Outcomes

CAPO: Continuous Glucose Monitoring in A2 Gestational Diabetes and Pregnancy Outcomes

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04219085
Acronym
CAPO
Enrollment
65
Registered
2020-01-06
Start date
2020-09-01
Completion date
2024-08-30
Last updated
2025-08-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gestational Diabetes, Maternal Complication of Pregnancy

Keywords

gestational diabetes, fetal or neonatal outcomes, maternal morbidity

Brief summary

This study will utilize continuous glucose monitoring in women with A2 gestational diabetes. Women will be randomized to continuous glucose monitoring or routine care with fingersticks to check their blood glucose four times daily. It is hypothesized that women in the continuous glucose monitoring arm will have a lower incidence of the composite primary outcome, which includes the following variables: perinatal death, shoulder dystocia, birth weight greater than 4,000 grams, NICU admission for treatment of hypoglycemia (blood glucose level \<40mg/dL) and birth trauma, including fracture or nerve palsy.

Detailed description

Diabetes complicates 6-7% of pregnancies annually and approximately 85% of these cases are women diagnosed with gestational diabetes (GDM).1,2 The prevalence of GDM varies within populations based on obesity rates, maternal age and ethnicity. GDM is diagnosed during the third trimester through a two-step process of a 50-gram oral glucose challenge screen and a subsequent 100-gram oral glucose challenge test if the woman screens positive. Once the diagnosis is confirmed women are asked to monitor their glucose levels with finger sticks at least four times a day (fasting and post-prandial) and medication is added when glucose target goals cannot be reached by diet and exercise alone. Approximately, 15% of women will not reach glucose target goals with diet and exercise alone and will require medication. These women are then diagnosed with class A2 GDM by the White classification of diabetes. Identification of women with GDM who require treatment is essential in optimizing pregnancy outcomes for these women. Treatment of GDM results in lower neonatal morbidity, reduced incidence of large for gestational age infants (LGA), reduced incidence of preeclampsia and shoulder dystocia and a reduced need for cesarean delivery.3-5 Since LGA infants are at higher risk for hypoglycemia which may necessitate admission to the neonatal intensive care unit (NICU), treatment of GDM reduces the incidence of LGA infants resulting in less hypoglycemia and NICU admissions. Given that pregnancy outcomes are directly tied to blood glucose control, it is essential that women with GDM play an active role in the monitoring of their disease. The frequency of monitoring and frustration with diet can lead to issues with patient compliance and ultimately impact their pregnancy outcomes. One study found that just over half of women successfully tested their blood glucose via finger sticks ≥ 80% of the time. About 25% of the women in the same study had \<90% of the values matching in their glucometer and their blood glucose log.6 Given these issues with compliance the need for a better and more convenient monitoring system is evident. Continuous glucose monitors (CGM) are a relatively new device that have yet to be fully explored for their utility in pregnancy. The current generation of CGM has had exponential growth in the clinical care of diabetes, driven primarily by the improved accuracy of these devices, longer duration sensor life (ranging from 7-14 days in currently available models), and the ability to collect these data without performing calibration of the sensors with fingerstick glucose readings. Continuous Glucose Monitoring in Women with Type 1 Diabetes in Pregnancy Trial (CONCEPTT), demonstrated the utility of CGM data to decrease the frequency of adverse neonatal outcomes in a pregestational diabetes population.7 A more recent trial of blinded CGM data in women with GDM showed mean sensor glucose was significantly higher in women who delivered LGA infants. The 24-hour mean glucose was different between groups in this study (112 mg/dL vs. 104 mg/dL, p=0.025), driven by higher overnight mean glucose levels (108 mg/dL vs. 99 mg/dL, p=0.005).8 Given that this is not a time that women with GDM would normally be monitoring their blood sugar it is evident that CGM may be useful, not only in increasing patient compliance by eliminating the need for measuring serum glucose via finger sticks and a glucometer four times a day but by allowing for monitoring of blood glucose levels at times that are not normally convenient for testing.

Interventions

DEVICEContinuous Glucose Monitor

Wearing of a continuous glucose monitor to monitor blood glucose levels in women with gestational diabetes

OTHERRoutine Care

Use of a glucometer to monitor blood glucose levels in women with gestational diabetes

Sponsors

Yale University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
SINGLE (Outcomes Assessor)

Intervention model description

randomized controlled trial, not blinded

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 50 Years
Healthy volunteers
No

Inclusion criteria

* women between 18-50 years old * pregnant * singleton gestation * diagnosis of gestational diabetes requiring medication (A2) during the current pregnancy between 24-36 weeks' gestation

Exclusion criteria

* pregestational diabetes * diagnosis with gestational diabetes \< 24 weeks gestation or \> 36 weeks gestation * known fetal anomalies * fetal growth restriction diagnosed during the current pregnancy * diagnosis of polyhydramnios at time of randomization * abnormal diagnostic genetic testing or genetic screening for the fetus in the current pregnancy prior to randomization * twin or higher order multiple gestation * non-compliance with prenatal visits (missing ≥3 visits prior to enrollment) prior to diagnosis with A2 gestational diabetes * maternal medical comorbidities including the following: lupus, chronic hypertension, cancer, ischemic cardiovascular disease

Design outcomes

Primary

MeasureTime frameDescription
Composite Primary Outcomefrom enrollment up until delivery by 41 weeks gestation, up to 19 weeks totalThe number of participants who have at least one of each of the following outcome measures occur: perinatal death, shoulder dystocia, birth weight less than 4,000 grams, NICU admission for treatment of hypoglycemia (blood glucose level \<40mg/dL) and birth trauma, including fracture or nerve palsy. Any one of these would make the composite primary outcome positive and will be recorded as a categorical variable.

Secondary

MeasureTime frameDescription
Cesarean Delivery for an Arrest of Labor Disorderduring delivery by 40 weeks gestationThe number of women who undergo a cesarean delivery for arrest of dilation or descent during labor or induction of labor. This will be recorded as a categorical (yes/no) variable. Data presented below is for the participants that had c-section for arrest.
Hypertensive Disorders of Pregnancy.from enrollment, through delivery by 41 weeks gestation and the immediate postpartum hospitalization up to 7 days postpartum, up to 20 weeks totalThe number of women who receive a diagnosis of a hypertensive disorder of pregnancy (gestational hypertension, preeclampsia, HELLP). This will be recorded as a categorical (yes/no) variable

Countries

United States

Participant flow

Participants by arm

ArmCount
Routine Care
Monitoring of control of gestational diabetes with routine care and use of a glucometer and fingersticks 4 times a day Routine Care: Use of a glucometer to monitor blood glucose levels in women with gestational diabetes
30
Continuous Glucose Monitor
Monitoring of control of gestational diabetes with use of a continuous glucose monitor Continuous Glucose Monitor: Wearing of a continuous glucose monitor to monitor blood glucose levels in women with gestational diabetes
35
Total65

Baseline characteristics

CharacteristicContinuous Glucose MonitorTotalRoutine Care
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
35 Participants65 Participants30 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
4 Participants11 Participants7 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
31 Participants54 Participants23 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Family History of GDM13 Participants26 Participants13 Participants
Gestational Age at Delivery38 weeks
STANDARD_DEVIATION 1.3
37.9 weeks
STANDARD_DEVIATION 1.3
37.7 weeks
STANDARD_DEVIATION 1.4
Gestational Age at GDM diagnosis26 weeks
STANDARD_DEVIATION 28.2
25.3 weeks
STANDARD_DEVIATION 5.7
24.5 weeks
STANDARD_DEVIATION 1.1
Gestational Age Starting Medications for GDM28.2 weeks
STANDARD_DEVIATION 5.5
27.8 weeks
STANDARD_DEVIATION 5
27.4 weeks
STANDARD_DEVIATION 4.6
Gravidity
1 pregnancy
6 Participants15 Participants9 Participants
Gravidity
2 pregnancies
10 Participants21 Participants11 Participants
Gravidity
≥3 pregnancies
19 Participants29 Participants10 Participants
History of Gestational Diabetes Mellitus (GDM)5 Participants14 Participants9 Participants
Insurance Type
Medicaid
9 Participants14 Participants5 Participants
Insurance Type
Private
26 Participants51 Participants25 Participants
Living Children
0 children
12 participants26 participants14 participants
Living Children
1child
13 participants22 participants9 participants
Living Children
≥2 children
10 participants26 participants7 participants
Medication Type
Insulin
35 Participants64 Participants29 Participants
Medication Type
Metformin
0 Participants2 Participants2 Participants
Participant Body Mass Index (BMI) at Delivery
25-<30 kg/m^2
4 Participants6 Participants2 Participants
Participant Body Mass Index (BMI) at Delivery
<25 kg/m^2
2 Participants2 Participants0 Participants
Participant Body Mass Index (BMI) at Delivery
30-<35 kg/m^2
10 Participants15 Participants5 Participants
Participant Body Mass Index (BMI) at Delivery
35-<40 kg/m^2
9 Participants19 Participants10 Participants
Participant Body Mass Index (BMI) at Delivery
≥40 kg/m^2
10 Participants23 Participants13 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
1 Participants2 Participants1 Participants
Race (NIH/OMB)
Black or African American
5 Participants9 Participants4 Participants
Race (NIH/OMB)
More than one race
0 Participants1 Participants1 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
7 Participants11 Participants4 Participants
Race (NIH/OMB)
White
22 Participants42 Participants20 Participants
Region of Enrollment
United States
35 participants65 participants30 participants
Sex: Female, Male
Female
35 Participants65 Participants30 Participants
Sex: Female, Male
Male
0 Participants0 Participants0 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 300 / 35
other
Total, other adverse events
0 / 300 / 35
serious
Total, serious adverse events
0 / 300 / 35

Outcome results

Primary

Composite Primary Outcome

The number of participants who have at least one of each of the following outcome measures occur: perinatal death, shoulder dystocia, birth weight less than 4,000 grams, NICU admission for treatment of hypoglycemia (blood glucose level \<40mg/dL) and birth trauma, including fracture or nerve palsy. Any one of these would make the composite primary outcome positive and will be recorded as a categorical variable.

Time frame: from enrollment up until delivery by 41 weeks gestation, up to 19 weeks total

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Routine CareComposite Primary OutcomeShoulder Dystocia0 Participants
Routine CareComposite Primary OutcomeNICU Admission for Hypoglycemia4 Participants
Routine CareComposite Primary OutcomeBirthweight < 4,000 grams4 Participants
Routine CareComposite Primary OutcomeBirth Trauma0 Participants
Routine CareComposite Primary OutcomePerinatal Death0 Participants
Continuous Glucose MonitorComposite Primary OutcomeBirth Trauma0 Participants
Continuous Glucose MonitorComposite Primary OutcomePerinatal Death0 Participants
Continuous Glucose MonitorComposite Primary OutcomeShoulder Dystocia0 Participants
Continuous Glucose MonitorComposite Primary OutcomeBirthweight < 4,000 grams6 Participants
Continuous Glucose MonitorComposite Primary OutcomeNICU Admission for Hypoglycemia4 Participants
p-value: 1t-test, 2 sided
Secondary

Cesarean Delivery for an Arrest of Labor Disorder

The number of women who undergo a cesarean delivery for arrest of dilation or descent during labor or induction of labor. This will be recorded as a categorical (yes/no) variable. Data presented below is for the participants that had c-section for arrest.

Time frame: during delivery by 40 weeks gestation

Population: Out of women who had c-sections

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Routine CareCesarean Delivery for an Arrest of Labor Disorder1 Participants
Continuous Glucose MonitorCesarean Delivery for an Arrest of Labor Disorder4 Participants
p-value: 0.03t-test, 2 sided
Secondary

Hypertensive Disorders of Pregnancy.

The number of women who receive a diagnosis of a hypertensive disorder of pregnancy (gestational hypertension, preeclampsia, HELLP). This will be recorded as a categorical (yes/no) variable

Time frame: from enrollment, through delivery by 41 weeks gestation and the immediate postpartum hospitalization up to 7 days postpartum, up to 20 weeks total

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Routine CareHypertensive Disorders of Pregnancy.5 Participants
Continuous Glucose MonitorHypertensive Disorders of Pregnancy.7 Participants
p-value: 0.85t-test, 2 sided

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026