Automated assessment of fetal heart function in babies with heart diseases
Official title: Automated Fetal Cardiac Function Parameters in Congenital Heart Disease
Run by The University of New South Wales · NCT05698277 · Data updated 2026-11-12
This study is testing if new ways to check fetal heart function can help doctors understand heart problems in babies with congenital heart defects compared to healthy babies.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | Women only |
| Enrollment | 495 (estimated) |
| Sponsor | The University of New South Wales Academic / other |
| Locations | 7 sites (Sydney, New South Wales and 6 other locations) |
| Status | Recruiting |
| Started | May 1, 2023 |
| Main results expected | January 1, 2028 |
| Study ends | February 1, 2028 |
| Registry record updated | December 10, 2024 |
| Trial ID | NCT05698277 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include pregnant individuals with singleton pregnancies at specified gestational ages, either with or without diagnosed congenital heart anomalies.
✕Probably not a fit
Patients with comorbidities affecting cardiac function or those with other structural extracardiac anomalies may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This international multicentre observational cohort study aims to evaluate automated fetal cardiac function parameters in healthy infants compared to those diagnosed with congenital heart defects. Participants will undergo two echocardiographic assessments during specific gestational weeks to monitor cardiac function over time. The study seeks to determine if significant differences exist between the two groups and whether these parameters can enhance the predictive value of cardiovascular profiles for predicting hydrops. Data will be collected and stored securely for future analysis.
Why it matters
Potential benefit: If successful, this study could lead to improved early detection and management of congenital heart defects in fetuses.
How similar studies have gone: Other studies have shown promise in using automated assessments for fetal cardiac function, suggesting potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Inclusion criteria for the CHD Group are as follows: singleton pregnancies; gestational age between 19+6 and 36+6 weeks gestation, determined by the last menstrual period and confirmed by first trimester ultrasound; isolated congenital cardiac anomaly diagnosed. * Inclusion criteria for the Control Group are as follows: singleton pregnancies; gestational age between 19+6 and 27+6 weeks gestation, determined by the last menstrual period and confirmed by first trimester ultrasound; no congenital cardiac anomaly diagnosed Exclusion Criteria common to the 2 groups (Cases and Controls): * Fetuses whose mothers have comorbidities that have been proven to potentially affect cardiac function including: * intrahepatic cholestasis * pre-gestational and gestational diabetes * preeclampsia * growth restricted fetuses defined as estimated fetal weight or abdominal circumference \<3rd percentile for GA * Fetuses with other structural extracardiac anomalies at ultrasound examination * Fetuses affected by any diagnosed genetic abnormalities
Where it's running
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Royal Hospital for Women
Sydney, New South Wales, Australia Recruiting -
Sheba Medical Center
Tel Aviv, Israel Not yet recruiting -
San Salvatore Hospital L'Aquila
L’Aquila, Italy Not yet recruiting -
Vittore Buzzi Children's Hospital
Milan, Italy Not yet recruiting -
Institute for Maternal and Child Health IRCCS Burlo Garofolo
Trieste, Italy Not yet recruiting -
Centre Hospitalier de Mayotte
Mamoudzou, Mayotte Not yet recruiting
Show 1 more location
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Medical Center Ujastek
Krakow, Poland Not yet recruiting
Study contacts
- Principal investigator: Anna Erenbourg, MD — The University of New South Wales
- Study coordinator: Anna Erenbourg, MD
- Email: a.erenbourg@unsw.edu.au
- Phone: +61423879866
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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.