- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05620056
A Population-based Study of Drug Exposures and Adverse Pregnancy Outcomes in China (DEEP)
November 10, 2022 updated by: Sun Xin, West China Hospital
The DEEP cohort is the first population-based cohort of pregnant population in China that longitudinally documents drug uses throughout the pregnancy life course and adverse pregnancy outcomes.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
The DEEP cohort is the first population-based cohort of pregnant population in China that longitudinally documents drug uses throughout the pregnancy life course and adverse pregnancy outcomes.
The main goal of the study aims to monitor and evaluate the safety of drug use through the pregnancy life course in the Chinese setting.
The DEEP cohort is developed primarily based on the population-based data platforms in Xiamen, a municipal city of 5 million population in southeast China.
Based on these data platforms, a pregnancy-centered registry was developed that documented health care services and outcomes in the maternal and other departments.
For identifying drug uses, a drug prescription database was specifically developed by using electronic healthcare records documented in the platforms across the primary, secondary and tertiary hospitals.
By linking the pregnancy registry and prescription database through a unique identifier, the DEEP cohort was developed.
All the pregnant women and their offspring in Xiamen are provided with health care and followed up according to standard protocols in the region, including antenatal care, delivery care, postpartum follow-up and childhood follow-ups.
The primary adverse outcomes - congenital malformations - are collected using a standardized Case Report Form.
Study Type
Observational
Enrollment (Actual)
564760
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Fujian
-
Xiamen, Fujian, China, 361008
- Xiamen Health and Medical Big Data Center
-
-
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
10 years to 61 years (Child, Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
Female
Sampling Method
Probability Sample
Study Population
From January 2013, all pregnant women who registered at the Maternal and Child Health Management in Xiamen was included in this cohort.
Description
Inclusion Criteria:
- Pregnant women who registered at the Maternal and Child Health Management Platform in Xiamen.
Exclusion Criteria:
- None
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: Cohort
- Time Perspectives: Retrospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
drug exposure
chemicals drugs, biological products, patent Chinese Medicines, Chinese herbs
|
medication (i.e., chemicals drugs, biological products, patent Chinese Medicines, Chinese herbs ) exposure through the pregnancy life course
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
congenital malformations
Time Frame: up to 42 days after delivery
|
Number of births with congenital malformations
|
up to 42 days after delivery
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
preterm birth
Time Frame: up to 37 gestational weeks
|
Number of pregnancies with preterm birth
|
up to 37 gestational weeks
|
|
low birth weight
Time Frame: Immediately after delivery
|
Number of live births with low birth weight
|
Immediately after delivery
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Chair: Xin Sun, Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China
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, 2013
Primary Completion (Actual)
December 31, 2021
Study Completion (Actual)
November 1, 2022
Study Registration Dates
First Submitted
November 3, 2022
First Submitted That Met QC Criteria
November 10, 2022
First Posted (Actual)
November 17, 2022
Study Record Updates
Last Update Posted (Actual)
November 17, 2022
Last Update Submitted That Met QC Criteria
November 10, 2022
Last Verified
November 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- DEEP
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Yes
IPD Plan Description
Following the policy of Xiamen Health Commission, research institutions could apply for data access by submitting a formal study protocol, subjected to approval by the Xiamen Health and Medical Big Data Center and the Chinese Evidence-based Medicine Center.
Ethical review and research registration are mandatory for all studies.
IPD Sharing Supporting Information Type
- Study Protocol
- Statistical Analysis Plan (SAP)
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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