Predicting Adverse Pregnancy Outcomes in Uganda through Partnerships and Innovation
Official title: Enhancing Prediction of Adverse Pregnancy Outcomes in Africa Through Partnerships and Innovation
Run by Makerere University · NCT07844876 · Data updated 2026-11-12
This study tests whether everyday health data, ultrasound, and blood samples from first-time pregnant women in Uganda can help predict problems like preeclampsia, fetal growth restriction, and preterm birth.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | Women only |
| Enrollment | 4000 (estimated) |
| Sponsor | Makerere University Academic / other |
| Locations | 2 sites (Kampala and 1 other locations) |
| Status | Recruiting |
| Started | July 25, 2022 |
| Main results expected | October 31, 2026 |
| Study ends | October 31, 2026 |
| Registry record updated | September 28, 2026 |
| Trial ID | NCT07844876 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are nulliparous, indigenous African women in Uganda, less than 18 weeks pregnant at dating ultrasound, 18 years or older, with consent and planned residence near Mulago or Kawempe hospitals.
✕Probably not a fit
Women who do not experience adverse outcomes or who do not have the identified predictive markers may not experience a direct benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study will follow 4,000 first-time pregnant women in Uganda from before 18 weeks gestation through delivery. Researchers will collect health history, pregnancy information, social factors, physical exams, ultrasound scans, and blood samples at multiple visits, plus placental samples at birth. The goal is to identify markers and patterns that signal higher risk for adverse outcomes so prevention and care can be better targeted. The work focuses on sub-Saharan Africa, where data are limited and the burden of Great Obstetrical Syndromes is high. Enrollment is limited to indigenous African women meeting eligibility criteria and residing near study sites in Kampala.
Why it matters
Potential benefit: If successful, the study could improve early risk prediction and guide targeted care to reduce maternal and neonatal complications.
How similar studies have gone: There is growing evidence that placental biology and biomarker patterns can predict obstetric complications, but data from African populations remain limited and this study aims to build that evidence base.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Viable singleton pregnancy at the time of the dating ultrasound scan * At less than 18 weeks of gestation by ultrasound scan * Nulliparous * Women who are indigenous Africans * Those 18 years and above * Consent to participate in the study by the participant Exclusion Criteria: \- Those who reside more 30km than from Kawempe Hospital or Mulago Hospital
Where it's running
-
Mulago Specialised Women and Neonatal Hospital
Kampala, Uganda Recruiting -
Kawempe National Referral Hospital
Kampala, Uganda Recruiting
Study contacts
- Principal investigator: Annettee Olivia Nakimuli, MBChB, MMED, MBA, PhD — Makerere University College of Health Sciences
- Study coordinator: Annettee Olivia Nakimuli, MBChB, MMED, MBA, PhD
- Email: annettee.nakimuli@gmail.com
- Phone: +256772471618
Similar studies
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ASPIRE: Predicting Pregnancy Complications Using Blood and Eye Imaging
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Biobank for studying pregnancy complications like preeclampsia and preterm birth
This study collects samples and information from pregnant women to see if it can help identify the causes of complications like preeclampsia and preterm birth.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.