Precision Medicine for Prediction & Prevention of Early Pre-eclampsia

NCT ID: NCT04412681

Last Updated: 2021-03-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

1000 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-03-01

Study Completion Date

2022-06-01

Brief Summary

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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

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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.

Conditions

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Pre-Eclampsia

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

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PE Enhanced Screening

The PE screening program entails the following for all participants:

* provision of additional demographic and risk factors
* provision of mean arterial pressure
* standard nuchal translucency scan as part of their first trimester screening (FTS) with the addition of the measurement of the uterine artery Doppler by a certified sonographer
* standard blood sample (as part of the FTS)
* results of the PE screening (in the format of a screening report) will be provided to the study team and participant's healthcare provider

Group Type EXPERIMENTAL

Enhanced PE Screening

Intervention Type DIAGNOSTIC_TEST

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

Interventions

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Enhanced PE Screening

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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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North York General Hospital

OTHER

Sponsor Role collaborator

Sunnybrook Health Sciences Centre

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ronzoni

Role: PRINCIPAL_INVESTIGATOR

Sunnybrook Health Sciences Center

Locations

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Sunnybrook Health Sciences center

Toronto, Ontario, Canada

Site Status RECRUITING

Countries

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Canada

Central Contacts

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Ronzoni

Role: CONTACT

4164804920

Facility Contacts

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Stefania Ronzoni

Role: primary

References

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Wright D, Syngelaki A, Akolekar R, Poon LC, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal characteristics and medical history. Am J Obstet Gynecol. 2015 Jul;213(1):62.e1-62.e10. doi: 10.1016/j.ajog.2015.02.018. Epub 2015 Feb 25.

Reference Type BACKGROUND
PMID: 25724400 (View on PubMed)

O'Gorman N, Wright D, Poon LC, Rolnik DL, Syngelaki A, de Alvarado M, Carbone IF, Dutemeyer V, Fiolna M, Frick A, Karagiotis N, Mastrodima S, de Paco Matallana C, Papaioannou G, Pazos A, Plasencia W, Nicolaides KH. Multicenter screening for pre-eclampsia by maternal factors and biomarkers at 11-13 weeks' gestation: comparison with NICE guidelines and ACOG recommendations. Ultrasound Obstet Gynecol. 2017 Jun;49(6):756-760. doi: 10.1002/uog.17455.

Reference Type BACKGROUND
PMID: 28295782 (View on PubMed)

Park FJ, Leung CH, Poon LC, Williams PF, Rothwell SJ, Hyett JA. Clinical evaluation of a first trimester algorithm predicting the risk of hypertensive disease of pregnancy. Aust N Z J Obstet Gynaecol. 2013 Dec;53(6):532-9. doi: 10.1111/ajo.12126. Epub 2013 Aug 6.

Reference Type BACKGROUND
PMID: 23919594 (View on PubMed)

Mosimann B, Pfiffner C, Amylidi-Mohr S, Risch L, Surbek D, Raio L. First trimester combined screening for preeclampsia and small for gestational age - a single centre experience and validation of the FMF screening algorithm. Swiss Med Wkly. 2017 Aug 25;147:w14498. doi: 10.4414/smw.2017.14498. eCollection 2017.

Reference Type BACKGROUND
PMID: 28871576 (View on PubMed)

O'Gorman N, Wright D, Poon LC, Rolnik DL, Syngelaki A, Wright A, Akolekar R, Cicero S, Janga D, Jani J, Molina FS, de Paco Matallana C, Papantoniou N, Persico N, Plasencia W, Singh M, Nicolaides KH. Accuracy of competing-risks model in screening for pre-eclampsia by maternal factors and biomarkers at 11-13 weeks' gestation. Ultrasound Obstet Gynecol. 2017 Jun;49(6):751-755. doi: 10.1002/uog.17399. Epub 2017 May 14.

Reference Type BACKGROUND
PMID: 28067011 (View on PubMed)

Ananth CV, Keyes KM, Wapner RJ. Pre-eclampsia rates in the United States, 1980-2010: age-period-cohort analysis. BMJ. 2013 Nov 7;347:f6564. doi: 10.1136/bmj.f6564.

Reference Type BACKGROUND
PMID: 24201165 (View on PubMed)

Ronzoni S, Rashid S, Santoro A, Mei-Dan E, Barrett J, Okun N, Huang T. Preterm preeclampsia screening and prevention: a comprehensive approach to implementation in a real-world setting. BMC Pregnancy Childbirth. 2025 Jan 15;25(1):32. doi: 10.1186/s12884-025-07154-6.

Reference Type DERIVED
PMID: 39815166 (View on PubMed)

Other Identifiers

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PEprotocol

Identifier Type: -

Identifier Source: org_study_id

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