A new model aims to predict stillbirth before it happens
NCT ID NCT07745101
First seen Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time
Summary
This study is developing a prediction model to identify pregnancies at increased risk of stillbirth or fetal growth restriction, often caused by placental problems. Researchers will follow 7,000 pregnant individuals, collecting data from early pregnancy through delivery and postpartum. The goal is to use clinical information, biomarkers, and placental examinations to create a risk score that could guide care and potentially prevent stillbirth.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- No drug or device; this is an observational study developing a risk prediction model using clinical data, biomarkers, and placental pathology.
- What this could lead to
- If successful, this could lead to a tool that identifies high-risk pregnancies early, allowing closer monitoring and interventions to prevent stillbirth.
- What could go wrong
- The prediction model may not be accurate enough for widespread use, and the study's findings might not apply to all populations. It is observational, so it cannot prove that any intervention reduces stillbirth.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Old Dominion University
Norfolk, Virginia, 23529, United States
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Oregon Health & Science University
Portland, Oregon, 97239, United States
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The Collaborative Action for Research to End Stillbirth (CARES) Research Center at Columbia University
New York, New York, 10027, United States
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University of California Center for Stillbirth Prevention
San Diego, California, 92093, United States
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University of Utah
Salt Lake City, Utah, 84112, United States
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