Study Stopped
data was sufficient to determine outcome
The PPCGMS Intervention After GDM Trial
PPCMS
Can "Continuous Glucose Monitors" (CGMS) Improve Postpartum (PP) Gestational Diabetes (GDM) Screening for Diabetes?
1 other identifier
interventional
39
1 country
1
Brief Summary
Among women who experience glucose abnormalities during pregnancy, screening during the postpartum period offers a window of opportunity for early identification of diabetes and prediabetes. The rates of postpartum type 2 diabetes (T2D) screening with an OGTT for women with GDM are not optimal given the majority of women with GDM fail to return for postpartum glucose testing. Continuous glucose monitoring (CGM) systems have been recognized as an ideal method of monitoring glycemic control in diabetic patients. CGM has been used in diabetic patients primarily as a management tool allowing a more acceptable and reliable glucose reading and control than self-monitoring of blood glucose (SMBG). There is a need to improve diabetes testing after childbirth in women who experienced gestational diabetes. This will allow investigators to target their efforts to improve the early diagnosis and treatment of diabetes following GDM. No studies conducted to date have not comprehensively examined whether CGM after delivery can be used in women with a recent history to predict their risk of diabetes. This research study is being done to assess the acceptability, feasibility, and accuracy of using a glucose sensor (also known as a continuous glucose monitor or CGM) after childbirth as a diagnostic test that can help identify women who are at risk of developing diabetes after having gestational diabetes and explore its correlation to the standard postpartum oral glucose tolerance test as well as a HbA1c and fructosamine test.
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 Feb 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 11, 2023
CompletedFirst Posted
Study publicly available on registry
September 28, 2023
CompletedStudy Start
First participant enrolled
February 6, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 16, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
October 16, 2024
CompletedOctober 18, 2024
October 1, 2024
8 months
September 11, 2023
October 16, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
CGM metric of mean glucose compared to OGTT result
CGM metric of mean glucose will be compared to standard 75-gram postpartum OGTT result
up to 10 days
Secondary Outcomes (8)
CGM variability metric of time in range will be compared to OGTT result
up to 10 days
CGM variability measure MAGE will be compared to be compared to OGTT result
up to 10 days
CGM metric of mean glucose compared to hemoglobin A1C result
up to 10 days
CGM variability metric of time in range will be compared to hemoglobin A1C test
up to 10 days
CGM variability measure MAGE will be compared to hemoglobin A1C test
up to 10 days
- +3 more secondary outcomes
Other Outcomes (1)
Tolerability to dexcom adhesive
up to 10 days
Study Arms (1)
Blinded CGM
EXPERIMENTALBlinded continuous glucose monitor Dexcom G7
Interventions
CGM that records blood glucose but not visible to patient or provider in real time
Eligibility Criteria
You may qualify if:
- diagnosis of gestational diabetes during recent pregnancy (4-24 weeks)
- age 18 or older.
- written informed consent
You may not qualify if:
- pregestational diabetes (type 1 or type 2)
- include known known skin adhesive allergy which would prevent subject from wearing a CGM,
- history of bariatric surgery or other surgeries that induce malabsorption
- long-term use (\>2 weeks) of systemic steroids during the testing interval
- inability or refusal to comply with protocol
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Woman'slead
- DexCom, Inc.collaborator
Study Sites (1)
Karen Elkind-Hirsch
Baton Rouge, Louisiana, 70817, United States
Related Publications (1)
Elkind-Hirsch KE, Armatta ML, Hames KC, Veillon EW Jr. Continuous glucose monitoring predicts glycemic status in postpartum women with a recent history of gestational diabetes. Expert Rev Med Devices. 2026 Jan;23(1):99-105. doi: 10.1080/17434440.2025.2607631. Epub 2025 Dec 26.
PMID: 41422557DERIVED
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
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 11, 2023
First Posted
September 28, 2023
Study Start
February 6, 2024
Primary Completion
October 16, 2024
Study Completion
October 16, 2024
Last Updated
October 18, 2024
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will not share
The proposed study will involve a small sample (50 subjects) recruited from the Diabetes center at Woman's Hospital. Despite the removal of all identifiers, it would be difficult if not impossible to protect the identity of of all subjects. So even though the final data set will be stripped of identifiers prior to release for sharing, the investigators assume that there remains the possibility of deductive disclosure of subjects with unusual characteristics. Thus, the investigators will make the de-identified data and associated documentation available to users only under a dat-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.