- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05670548
Early Prediction of Postpartum Glucose Metabolism Abnormalities in Gestational Diabetes Mellitus
January 1, 2023 updated by: Women's Hospital School Of Medicine Zhejiang University
Early Prediction of Postpartum Glucose Metabolism Abnormalities in Gestational Diabetes Mellitus Based on Gestational Metabolic Profile and Lipid Profile
This project is expected to screen reliable serum markers in pregnant women with gestational diabetes mellitus (GDM) by using metabolic profiling and lipid profiling clinical high-throughput mass spectrometry technology.
We intend to build an early pregnancy prediction model for postpartum glucose metabolism abnormalities of GDM.
At the same time, this project plans to develop a predictive management system based on this model, so that it can be widely used in clinical detection process, realize the advance of the early warning window period of abnormal glucose metabolism, and provide theoretical guidance for the early postpartum blocking of GDM to the outcome of abnormal glucose metabolism.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Anticipated)
2000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Zhaoxia Liang, Prof.
- Phone Number: 86571-89992115
- Email: xiaozaizai@zju.edu.cn
Study Locations
-
-
Zhejiang
-
Hangzhou, Zhejiang, China, 310006
- Recruiting
- Women's Hospital School of Medicine Zhejiang University
-
Contact:
- Zhaoxia Liang, Prof.
- Phone Number: 86571-89992115
- Email: xiaozaizai@zju.edu.cn
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
20 years to 49 years (Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
Female
Sampling Method
Non-Probability Sample
Study Population
This project intends to recruit pregnant women with GDM who go to the research center for routine prenatal examination and OGTT screening at 24-28 gestational weeks.
Description
Inclusion Criteria:
- Plan to have routine prenatal examinations and give birth in the research center
- GDM was diagnosed at 24-28 gestational weeks
- Singleton pregnancy
- Without other pregnancy complications
- Willing to cooperate with the hospital to follow up
Exclusion Criteria:
- Have diseases that affect metabolic function or even threaten the life of the mother and fetus before pregnancy, such as diabetes, heart disease, liver and kidney diseases, thyroid diseases with drug, autoimmune diseases, malignant tumors, AIDS, etc.
- Fetus has a known deformity or genetic defects
- Incomplete clinical data
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Abnormal postpartum glucose metabolism
GDM with positive OGTT results at 6-12 weeks postpartum
|
A questionnaire survey was conducted when pregnant women were enrolled, and blood were collected at 24-28 gestational weeks.
Placenta and umbilical cord blood are collected during delivery.
|
|
Control
GDM with negative OGTT results at 6-12 weeks postpartum
|
A questionnaire survey was conducted when pregnant women were enrolled, and blood were collected at 24-28 gestational weeks.
Placenta and umbilical cord blood are collected during delivery.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Serum lipidomics
Time Frame: During the 24-28 geatational weeks.
|
The differential serum lipid molecules in serum were detected by the self-developed detection chip, and the markers related to postpartum glucose metabolism abnormalities in GDM were screened.
Specimens were collected during the 24-28 geatational weeks.
|
During the 24-28 geatational weeks.
|
|
Serum metabolomics
Time Frame: During the 24-28 geatational weeks.
|
The differential serum metabolism molecules in serum were detected by the self-developed detection chip, and the markers related to postpartum glucose metabolism abnormalities in GDM were screened.
Specimens were collected during the 24-28 geatational weeks.
|
During the 24-28 geatational weeks.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Director: Zhaoxia Liang, Prof., Women's Hospital School of Medicine Zhejiang University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2023
Primary Completion (Anticipated)
December 31, 2023
Study Completion (Anticipated)
December 31, 2025
Study Registration Dates
First Submitted
January 1, 2023
First Submitted That Met QC Criteria
January 1, 2023
First Posted (Estimate)
January 4, 2023
Study Record Updates
Last Update Posted (Estimate)
January 4, 2023
Last Update Submitted That Met QC Criteria
January 1, 2023
Last Verified
January 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB-20220336-R
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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