| NCT ID | NCT06340971 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Queen Mary University of London |
| Condition | Premature Birth |
| Study Type | OBSERVATIONAL |
| Enrollment | 200,000 participants |
| Start Date | 2024-11-01 |
| Primary Completion | 2029-10-31 |
Eligibility & Interventions
Eligibility Fast-Check
Enter your details for a quick preliminary check. This does not replace medical advice.
What to Expect as a Participant
This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.
This trial targets 200,000 participants in total. It began in 2024-11-01 with a primary completion date of 2029-10-31.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
We are an inter-disciplinary team of UK scientists with expertise in obstetrics, women's and child health, epidemiology, climate science, inflammation, computational modelling, machine learning and artificial intelligence. Together we have a long history with existing strengths underlying preterm birth research that crosses multiple disciplines and an excellent track record of publications and awards leading research in preterm birth. We aim to develop and validate a deep learning model to predict the risk of preterm birth and other adverse pregnancy outcomes using data from EPIC electronic health records at University College London Hospital Trust (UCLH) for a cohort of 18000 patients. We will obtain corresponding data on exposure to ambient pollution using non-identifiers for postcode (area) and date of delivery (month). The model will review the temporal sequence of events within a patient's medical history and current pregnancy, identifying significant interactions and will predict the risk of preterm birth. It will also determine the threshold and gestation at which pollution exposure has the greatest impact.
Eligibility Criteria
Inclusion Criteria: * We aim to include data from pregnant women who delivered at University College London Hospitals from 2019 onwards after the start of the EPIC electronic patient record. The is no specified age range for this study, so as to improve inclusivity. We also aim to represent minority ethnic groups and patients with social deprivation within our dataset. Exclusion Criteria: * We will exclude data from patients with an incomplete duration of follow-up due to transfer of antenatal care for delivery at another trust. Patients with incomplete past obstetric history data, inaccurate estimations of gestational age (e.g. due to late booking of the pregnancy) and missing data for 'postcode of usual address' will also be excluded. Patients who are less than 18 years of age will be excluded.
Frequently Asked Questions
Who can join the NCT06340971 clinical trial?
This trial is open to female participants only, aged 18 Years or older, studying Premature Birth. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT06340971 currently recruiting?
Yes, NCT06340971 is actively recruiting participants. Visit ClinicalTrials.gov or contact Queen Mary University of London to inquire about joining.
Where is the NCT06340971 trial being conducted?
This trial is being conducted at London, United Kingdom, London, United Kingdom.
Who is sponsoring the NCT06340971 clinical trial?
NCT06340971 is sponsored by Queen Mary University of London. The trial plans to enroll 200,000 participants.