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Precision Medicine for Prediction & Prevention of Early Pre-eclampsia

Using Precision Medicine for the Prediction and Prevention of Early Pre-eclampsia: A Feasibility Study at Sunnybrook Health Sciences Centre.

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04412681
Enrollment
1000
Registered
2020-06-02
Start date
2021-03-01
Completion date
2022-06-01
Last updated
2021-03-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pre-Eclampsia

Brief summary

This study aims to evaluate the feasibility of implementing a clinical model for precision screening of early pre-eclampsia into the current prenatal screening service at Sunnybrook Health Sciences Center (SHSC).

Detailed description

Pre-eclampsia (PE) represents a pregnancy-specific systemic disorder that affects 3-8% of all pregnancies. In developed countries PE is considered a major public health problem responsible for severe maternal complications such as coagulopathy, renal and liver failure, stroke, and maternal death (\>76,000 maternal death annually). The traditional approach to screening for preeclampsia endorsed by national guidelines is based on a combination of maternal characteristics along with medical, obstetric and family history. However, although these methods are simple and easy to perform, maternal factors can only identify less than 35% of all preeclampsia and approximately 40% of preterm-preeclampsia at a false- positive rate of 10%. More recently, multivariate analysis has been used to develop predictive models for preeclampsia that can be applied as early as 11-13+6 weeks gestation. One such algorithm, developed by the Fetal Medicine Foundation UK(MFM UK), incorporates maternal risk factors, uterine artery doppler, mean arterial pressure, and serum markers of placental function and placental growth factor. The FMFUK algorithm has been shown to predict approximately 75-90% of those women destined to develop preeclampsia prior to 37 and 34 weeks respectively, at a false positive rate of 10%. This algorithm has been validated prospectively in several studies, including the prediction of other placental mediated complications of pregnancy, such as fetal growth restriction and perinatal death. The new clinical model will include the following additions to the existing first trimester screening for aneuploidy: * Additional Clinical History * Blood pressure measurements * Ultrasound for uterine artery Doppler measurements * Expanded prenatal screening requisition * Quality assurance training of ultrasound technicians for the uterine artery doppler measurements * Fetal Medicine Foundation validated risk calculation algorithm * Communicate results of the risk calculation algorithm from NYGH to SHSC and participant health care providers. While the ultimate goal will be to scale up and adapt this new clinical model, this protocol focuses on the feasibility of implementing the new clinical model at a single centre, Sunnybrook Health Sciences Centre.

Interventions

DIAGNOSTIC_TESTEnhanced PE Screening

To better identify women at risk for pre-eclampsia during pregnancy.

Sponsors

North York General Hospital
CollaboratorOTHER
Sunnybrook Health Sciences Centre
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Women with a singleton pregnancy \> 18 years old 2. Not on low dose aspirin 3. Carrying a live fetus with crown rump length (CRL) between 41 and 84mm 4. Able to provide informed consent 5. Having a nuchal translucency ultrasound

Exclusion criteria

1. Women with a singleton pregnancy \< 18 years old 2. Women currently taking low dose aspirin 3. Women declining a nuchal translucency ultrasound 4. Women unable to provide informed consent 5. Women with a multiple pregnancy 6. Women with a demised fetus or a CRL \<41mm and \>84mm

Design outcomes

Primary

MeasureTime frameDescription
Feasibility of Screening Tool11.3-13.6 weeks gestationImplementation of the screening: To assess the feasibility, the investigators will judge success if the full screening process without deviation is completed for at least 90% of consented participants.

Secondary

MeasureTime frameDescription
Accuracy of Screening11.3-13.6 weeks gestationReproducibility of the FMFUK studies. Planning a recruitment of 1000 participants and anticipating a 10% positive rate, the invetigators expect to follow 100 screen positive and 900 screen negative pregnancies.
Acceptability of Screening Tool to Participants11.3-13.6 weeks gestationProportion of acceptance/offer to implementation study. The investigators expect to obtain consent from 80% of pregnant women eligible for the study.
Compliance with low dose ASA for screen positive participants.16-36 weeks gestationThe investigators will assess the rate of initiation and maintenance of low dose ASA ( SHSC standard of care) as measured by phone follow-up at 16,22,26,32 and 36 weeks gestation, (2) follow-up at placental scan visit and (3) follow-up at delivery. Success will defined as 80% compliance.

Other

MeasureTime frameDescription
Turnaround time from assessment to results11.3-16 weeks gestationThe investigators will measure the turnaround time (in business day) from screening requisition reaching laboratory to report issued to SHSC via fax
Participant Satisfaction11.3-40 weeks gestationThe investigators will assess participant satisfaction with screening and care through a satisfaction survey with a 10 score scale where 1 is very unsatisfied and 10 is very satified
Duration of the assessment11.3-13.6 weeks gestationThe investigators will assess the duration (in minute) required for completing data questionnaire, measuring arterial blood pressure and uterine artery Doppler

Countries

Canada

Contacts

Primary ContactRonzoni
stefania.ronzoni@sunnybrook.ca4164804920

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 6, 2026