Stratification of Risk of Diabetes in Early Pregnancy
STRiDE
1 other identifier
observational
7,400
2 countries
2
Brief Summary
Hyperglycaemia in Pregnancy or Gestational Diabetes Mellitus (GDM) is one of the most common obstetric medical conditions which when undetected can cause significant adverse outcomes for the mother and the offspring. Diagnosis is typically made between 24-28 weeks of pregnancy using oral glucose tolerance test (OGTT). Therefore, some damage might have already happened prior to detection. Although universal screening is recommended by many guidelines, this is not uniformly followed across the world, partly because of doubts about cost-effectiveness. Only selective screening is followed based on presence of at least one of the high risk factors (age, BMI, previous history, etc). This strategy can miss up to 50% of GDM. In addition, no data exists in India and Kenya. In low and middle-income countries (LMICs), where majority live in rural settings, the major limitations are difficulty in conducting OGTT, which requires prompt access to laboratory facilities. Combining the clinical and easily analysable biochemical markers (composite risk score) could improve the prediction and if proven, could help to prevent the onset of GDM. Fasting glucose levels (at non-diabetes levels) in early pregnancy could predict future GDM. HbA1c in early pregnancy can be a better marker as it can be done point-of-care and does not require patients to be in a fasting state. The overall objective of the proposed project is to develop a composite risk score to predict GDM in early pregnancy using a combination of easily identifiable risk factors such as age, BMI, family history of Type 2 Diabetes along with HbA1c in Indians and Kenyans. The project will recruit pregnant women in early pregnancy from South India (n=3400) and Western Kenya (n=4000). Contribution of individual risk factors as well as the composite risk score on the risk of developing GDM will be assessed. Detailed health economic analyses will enable policy makers to make informed decision based on local data.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Feb 2016
Typical duration for all trials
2 active sites
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
Study Start
First participant enrolled
February 1, 2016
CompletedFirst Submitted
Initial submission to the registry
December 22, 2016
CompletedFirst Posted
Study publicly available on registry
December 29, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2019
CompletedDecember 30, 2016
December 1, 2016
2.4 years
December 22, 2016
December 29, 2016
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Development and validation of composite risk score for GDM with the risk factors of interest and/or point-of-care HbA1c
3 YEARS
Secondary Outcomes (1)
Identification and the impact of other novel risk factors on the diagnosis of GDM and other adverse maternal outcomes
3 YEARS
Study Arms (2)
Asian Indian
Recruitment to the Indian cohort will be carried out in urban areas of Chennai and be coordinated from Madras Diabetes Research Foundation (MDRF). As a part of their routine care, all pregnant women will undergo regular blood tests at presentation, a dating scan if the last menstrual period is unknown and an ultrasound at 20 weeks of pregnancy for foetal anomalies. 3400 pregnant women in early pregnancy will be studied in this cohort.
African
Recruitment to the Kenyan cohort will be based and coordinated from Moi Teaching and Referral hospital (MTRH). The bulk of the recruitment will happen at MTRH with significant contribution from Usain Gisu District hospital (UGDH) and Medi-Heal. 4000 pregnant women in early pregnancy will be studied in this cohort.
Eligibility Criteria
The project will be set in and around Chennai (Tamil Nadu, South India) and Eldoret (Western Kenya). Two independent cohorts will be formed, comprising of 3400 and 4000 pregnant women in early pregnancy in India and Kenya, respectively.
You may qualify if:
- All pregnant women between the age of 18 and 50 years of age
You may not qualify if:
- Women presenting beyond 16 weeks of gestation Known Type 1 or Type 2 diabetes
- Severe anaemia defined as haemoglobin (Hb) \<8g/L and
- Sickle cell traits, sickle cell anaemia and other genetic Hb variants
- Women on Metformin therapy for anovulation and/or infertility
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Warwicklead
- Madras Diabetes Research Foundationcollaborator
- Moi Univeristycollaborator
Study Sites (2)
Madras Diabetes Research Foundation
Chennai, Tamil Nadu, 600086, India
Moi University School of Medicine & Teaching and Referral Hospital
Eldoret, Kenya
Biospecimen
Both sites have the capacity for all the necessary measurements. All samples will be temporarily stored in fridge and -20°C freezers after which it will be shifted to -80°C freezers for long term storage.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ponnusamy Saravanan, FRCP PhD
University of Warwick
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Clinical Professor & Honorary Consultant Physician
Study Record Dates
First Submitted
December 22, 2016
First Posted
December 29, 2016
Study Start
February 1, 2016
Primary Completion
July 1, 2018
Study Completion
January 1, 2019
Last Updated
December 30, 2016
Record last verified: 2016-12
Data Sharing
- IPD Sharing
- Will share
Metadata will be archived following the publication of the study findings as per MRC UK's guidelines