Correlation of Continuous Glucose Monitoring and Glucose Tolerance Testing With Pregnancy Outcomes
2 other identifiers
interventional
57
1 country
2
Brief Summary
Diabetic pregnant patients are at risk for adverse pregnancy outcomes, including larger than expected fetuses and unplanned operative deliveries, due to elevated blood glucose levels. the one-hour glucola test is currently used to screen pregnant patients for gestational diabetes. This involves ingesting a 50-gram glucose load, followed by a blood test one hour later. We wish to compare 7-day continuous glucose monitoring to the one-hour glucola test, and determine which one correlates better with adverse pregnancy outcomes as well as which one more accurately identifies patients at risk for adverse pregnancy outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for phase_1
Started Feb 2009
Longer than P75 for phase_1
2 active sites
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
Study Start
First participant enrolled
February 1, 2009
CompletedFirst Submitted
Initial submission to the registry
February 20, 2009
CompletedFirst Posted
Study publicly available on registry
February 24, 2009
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2015
CompletedResults Posted
Study results publicly available
May 19, 2016
CompletedMay 19, 2016
April 1, 2016
5.4 years
February 20, 2009
April 13, 2016
April 13, 2016
Conditions
Outcome Measures
Primary Outcomes (1)
Correlation Between Glucose AUC and Birth Weight.
For each patient's CGM data, we calculated the total area under the curve (AUC) for values above the predefined cutoffs of 110, 120, 130, 140, and 180 mg/dL. Patients wore the CGM for different amounts of time; therefore, the total AUC for the entire duration of CGM use was divided by the number of 24-hour periods of data collection. We called these normalized values "AUC-110," "AUC-120," "AUC-130," "AUC-140," and "AUC-180," and they reflect both the magnitude and duration of hyperglycemic excursions above the predetermined thresholds in an average 24-hour period. Birth weight percentile was determined using birth weight data derived from 1999 and 2000 United States Natality datasets. The correlation coefficient (r) was calculated between birth weight percentiles and each of the following: AUC-110, AUC-120, AUC-130, AUC-140, AUC-180, and 1-hour GCT result.
CGM measured 7 days at beginning of pregnancy,birth weight measured a time of delivery
Secondary Outcomes (1)
Pregnancy and Delivery Characteristics for Participants With AUC-130 <= 22,000 and AUC-130 > 22,000
CGM measured 7 days at beginning of pregnancy,birth weight measured a time of delivery
Study Arms (1)
Continuous Glucose Monitor in pregnancy
OTHERThe Seven Continuous Glucose Monitoring System: Between 24-28 weeks of gestation, the recommended period of glucola testing, a soft sensor for continuous glucose monitoring system (CGMS) will be inserted superficially under the skin. The patient will be instructed on how to wear and care for the device. She will wear the CGMS for 7 days, then return to the clinic for removal of the device, and downloading of the data. Finger stick blood glucoses will be checked by the patient 2 times daily during the 7 days of wearing the CGMS.
Interventions
Between 24-28 weeks of gestation, the recommended period of glucola testing, a soft sensor for continuous glucose monitoring system (CGMS) will be inserted superficially under the skin. The patient will be instructed on how to wear and care for the device. She will wear the CGMS for 7 days, then return to the clinic for removal of the device, and downloading of the data. Finger stick blood glucoses will be checked by the patient 2 times daily during the 7 days of wearing the CGMS.
Eligibility Criteria
You may qualify if:
- Pregnant patients
- Age 18-50
- Gestational age less than 28 weeks
You may not qualify if:
- Minors less than 18 years of age
- Multiple gestation
- Known fetal anomalies
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Stanford Universitylead
- DexCom, Inc.collaborator
Study Sites (2)
Santa Clara Valley Medical Center
San Jose, California, 95128, United States
Stanford University School of Medicine
Stanford, California, 94305, United States
Related Publications (1)
Sung JF, Kogut EA, Lee HC, Mannan JL, Navabi K, Taslimi MM, El-Sayed YY. Correlation of continuous glucose monitoring profiles with pregnancy outcomes in nondiabetic women. Am J Perinatol. 2015 Apr;32(5):461-8. doi: 10.1055/s-0034-1390344. Epub 2014 Sep 28.
PMID: 25262455RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
Limited monitoring period between 24 and 28 weeks' gestation. Sample size was under powered to detect differences in secondary outcomes of interest.
Results Point of Contact
- Title
- Yasser El-Sayed, MD
- Organization
- Stanford University School of Medicine
Study Officials
- PRINCIPAL INVESTIGATOR
Yasser Yehia El-Sayed
Stanford University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- phase 1
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Obstetrics and Gynecology
Study Record Dates
First Submitted
February 20, 2009
First Posted
February 24, 2009
Study Start
February 1, 2009
Primary Completion
July 1, 2014
Study Completion
September 1, 2015
Last Updated
May 19, 2016
Results First Posted
May 19, 2016
Record last verified: 2016-04
Data Sharing
- IPD Sharing
- Will not share