Stratification of Risk of Diabetes in Early Pregnancy (STRiDE)

December 29, 2016 updated by: Dr P Saravanan, University of Warwick
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.

Study Overview

Status

Status

Indicates the current recruitment status or the expanded access status.
Unknown

Conditions

Conditions

The disease, disorder, syndrome, illness, or injury that is being studied. On ClinicalTrials.gov, conditions may also include other health-related issues, such as lifespan, quality of life, and health risks.

Detailed Description

High glucose level in Pregnancy or Gestational Diabetes Mellitus (GDM) is one of the most common medical conditions during pregnancy. When undetected, it can cause significant harm for the pregnant women and her offspring. GDM can affect 5-25% of all pregnant women. It depends on the population and where the boundary is drawn between normal and abnormal glucose levels.

Certain ethnic minority groups are considered at high-risk for developing GDM, including Indians. It is estimated >15% of pregnancies are affected by GDM in India. The immediate risks of untreated GDM are high rates of pre-eclampsia, higher caesarean section rates and psychological effects such as anxiety and depression. Women who develop GDM have a 7-8 times higher life-time risk of type 2 diabetes (T2D). Similarly, the immediate risks to the children are being too big or too small, shoulder damage during labour, low glucose levels or jaundice at birth, difficulty in breathing and in rare cases stillbirth. In the long term, the risk of obesity and T2D is also higher.

The diagnosis of GDM is usually made between 24-28 weeks of pregnancy using a glucose drink test called oral glucose tolerance test (OGTT). Although treatment can improve the outcomes, some of the damage may have already been done before the detection of GDM. Therefore, screening to detect high glucose level in pregnancy seems beneficial. However, there can be harms as well as benefits in screening programmes. Therefore a balance should be achieved between identifying women whose blood glucose level is high enough to cause harm and those with glucose level that would not cause harm. Currently, it is recommended that all pregnant women should be screened for GDM if they belong to a high-risk ethnic population. However, conducting OGTT in India is challenging, as this test requires pregnant women present themselves to a laboratory facility in a fasting state.

In many countries, women are selected for OGTT based on the presence of at least one of the high risk factors such as higher body weight, older age and family history of T2D. However, this selection method can miss up to 50% of women who may develop GDM. The aim of the study is to develop a risk score in early pregnancy based on a combination of these risk factors that can be collected easily along with a simple finger prick average blood glucose test (called HbA1c). The efficiency of different levels of this combined risk score will be tested against the risk of developing GDM in the later part of pregnancy.

Cost effectiveness analysis will also be conducted to identify at what risk level screening can be recommended in India. An accurate score that can safely exclude women at low risk of developing GDM will have significant benefits to the pregnant women. They can be safely reassured. Avoiding the need for OGTT will have significant time and cost benefits. In contrast, if the score identifies them as at high-risk, healthy eating and appropriate life style advice can reduce their risk of developing GDM in later pregnancy.

Study Type

Study Type

Describes the nature of a clinical study. Study types include interventional studies (also called clinical trials), observational studies (including patient registries), and expanded access.
Observational

Enrollment (Anticipated)

Enrollment

The number of participants in a clinical study. The "anticipated" enrollment is the target number of participants that the researchers need for the study.
7400

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

Study Contact

The name and contact information for the person who can answer enrollment questions for a clinical study. Each location where the study is being conducted may also have a specific contact, who may be better able to answer those questions.

Study Contact Backup

Study Locations

  • India
    • Tamil Nadu
      • Chennai, Tamil Nadu, India, 600086
        • Recruiting
        • Madras Diabetes Research Foundation
        • Contact:
        • Contact:
        • Principal Investigator:
          • V Mohan, PhD
        • Sub-Investigator:
          • Uma Ram, FRCOG
        • Sub-Investigator:
          • Ranjit M Anjana, PhD
        • Sub-Investigator:
          • Deepa Mohan, PhD
  • Kenya
      • Eldoret, Kenya
        • Recruiting
        • Moi University School of Medicine & Teaching and Referral Hospital
        • Contact:
        • Contact:
        • Principal Investigator:
          • Sonak Pastakia, DPharm MPH
        • Sub-Investigator:
          • Astrid Christoffersen-Deb, MRCOG PhD
        • Sub-Investigator:
          • Wycliffe Kosgei, MBBS, MMed
        • Sub-Investigator:
          • Beryl Onyango, BPharm

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

Eligibility Criteria

The key requirements that people who want to participate in a clinical study must meet or the characteristics they must have. Eligibility criteria consist of both inclusion criteria (which are required for a person to participate in the study) and exclusion criteria (which prevent a person from participating). Types of eligibility criteria include whether a study accepts healthy volunteers, has age or age group requirements, or is limited by sex.

Ages Eligible for Study

18 years to 50 years (ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

Female

Sampling Method

Probability Sample

Study Population

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.

Description

Inclusion Criteria:

  • All pregnant women between the age of 18 and 50 years of age

Exclusion Criteria:

  • 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

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

Cohorts and Interventions

Group / Cohort

Group / Cohort

A group or subgroup of participants in an observational study that is assessed for biomedical or health outcomes.
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.

What is the study measuring?

Primary Outcome Measures

Primary Outcome Measures

In a clinical study's protocol, the planned outcome measure that is the most important for evaluating the effect of an intervention/treatment. Most clinical studies have one primary outcome measure, but some have more than one.
Outcome Measure
Time Frame
Development and validation of composite risk score for GDM with the risk factors of interest and/or point-of-care HbA1c
Time Frame: 3 YEARS
3 YEARS

Secondary Outcome Measures

Secondary Outcome Measures

In a clinical study's protocol, a planned outcome measure that is not as important as the primary outcome measure for evaluating the effect of an intervention but is still of interest. Most clinical studies have more than one secondary outcome measure.
Outcome Measure
Time Frame
Identification and the impact of other novel risk factors on the diagnosis of GDM and other adverse maternal outcomes
Time Frame: 3 YEARS
3 YEARS

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Sponsor

The organization or person who initiates the study and who has authority and control over the study.
University of Warwick

Collaborators

Collaborators

An organization other than the sponsor that provides support for a clinical study. This support may include activities related to funding, design, implementation, data analysis, or reporting.
Moi Univeristy
Madras Diabetes Research Foundation

Investigators

Investigators

A researcher involved in a clinical study. Related terms include site principal investigator, site sub-investigator, study chair, study director, and study principal investigator.
  • Principal Investigator: Ponnusamy Saravanan, FRCP PhD, University of Warwick

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

Study Start

The actual date on which the first participant was enrolled in a clinical study. The "anticipated" study start date is the date that the researchers think will be the study start date.
February 1, 2016

Primary Completion (ANTICIPATED)

Primary Completion

The date on which the last participant in a clinical study was examined or received an intervention to collect final data for the primary outcome measure. Whether the clinical study ended according to the protocol or was terminated does not affect this date. For clinical studies with more than one primary outcome measure with different completion dates, this term refers to the date on which data collection is completed for all the primary outcome measures. The "anticipated" primary completion date is the date that the researchers think will be the primary completion date for the study.
July 1, 2018

Study Completion (ANTICIPATED)

Study Completion

The date on which the last participant in a clinical study was examined or received an intervention/treatment to collect final data for the primary outcome measures, secondary outcome measures, and adverse events (that is, the last participant's last visit). The "anticipated" study completion date is the date that the researchers think will be the study completion date.
January 1, 2019

Study Registration Dates

First Submitted

First Submitted

The date on which the study sponsor or investigator first submitted a study record to ClinicalTrials.gov. There is typically a delay of a few days between the first submitted date and the record's availability on ClinicalTrials.gov (the first posted date).
December 22, 2016

First Submitted That Met QC Criteria

First Submitted That Met QC Criteria

The date on which the study sponsor or investigator first submits a study record that is consistent with National Library of Medicine (NLM) quality control (QC) review criteria. The sponsor or investigator may need to revise and submit a study record one or more times before NLM's QC review criteria are met. It is the responsibility of the sponsor or investigator to ensure that the study record is consistent with the NLM QC review criteria.
December 22, 2016

First Posted (ESTIMATE)

First Posted

The date on which the study record was first available on ClinicalTrials.gov after National Library of Medicine (NLM) quality control (QC) review has concluded. There is typically a delay of a few days between the date the study sponsor or investigator submitted the study record and the first posted date.
December 29, 2016

Study Record Updates

Last Update Posted (ESTIMATE)

Last Update Posted

The most recent date on which changes to a study record were made available on ClinicalTrials.gov. There may be a delay between when the changes were submitted to ClinicalTrials.gov by the study's sponsor or investigator (the last update submitted date) and the last update posted date.
December 30, 2016

Last Update Submitted That Met QC Criteria

Last Update Submitted That Met QC Criteria

The most recent date on which the study sponsor or investigator submitted changes to a study record that are consistent with National Library of Medicine (NLM) quality control (QC) review criteria. It is the responsibility of the sponsor or investigator to ensure that the study record is consistent with the NLM QC review criteria.
December 29, 2016

Last Verified

Last Verified

The most recent date on which the study sponsor or investigator confirmed the information about a clinical study on ClinicalTrials.gov as accurate and current. If a study with a recruitment status of recruiting; not yet recruiting; or active, not recruiting has not been confirmed within the past 2 years, the study's recruitment status is shown as unknown.
December 1, 2016

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

Other Study ID Numbers

Identifiers or ID numbers other than the NCT number that are assigned to a clinical study by the study's sponsor, funders, or others. These numbers may include unique identifiers from other trial registries and National Institutes of Health grant numbers.
  • MRMV0135

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Metadata will be archived following the publication of the study findings as per MRC UK's guidelines

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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