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.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
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.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Ronzoni
- Phone Number: 4164804920
- Email: stefania.ronzoni@sunnybrook.ca
Study Locations
-
-
Ontario
-
Toronto, Ontario, Canada, M4N 3M5
- Recruiting
- Sunnybrook Health Sciences Center
-
Contact:
- Stefania Ronzoni
- Email: stefania.ronzoni@sunnybrook.ca
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Women with a singleton pregnancy > 18 years old
- Not on low dose aspirin
- Carrying a live fetus with crown rump length (CRL) between 41 and 84mm
- Able to provide informed consent
- Having a nuchal translucency ultrasound
Exclusion Criteria:
- Women with a singleton pregnancy < 18 years old
- Women currently taking low dose aspirin
- Women declining a nuchal translucency ultrasound
- Women unable to provide informed consent
- Women with a multiple pregnancy
- Women with a demised fetus or a CRL <41mm and >84mm
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: PE Enhanced Screening
The PE screening program entails the following for all participants:
|
To better identify women at risk for pre-eclampsia during pregnancy.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Feasibility of Screening Tool
Time Frame: 11.3-13.6 weeks gestation
|
Implementation 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.
|
11.3-13.6 weeks gestation
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of Screening
Time Frame: 11.3-13.6 weeks gestation
|
Reproducibility 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.
|
11.3-13.6 weeks gestation
|
|
Acceptability of Screening Tool to Participants
Time Frame: 11.3-13.6 weeks gestation
|
Proportion of acceptance/offer to implementation study.
The investigators expect to obtain consent from 80% of pregnant women eligible for the study.
|
11.3-13.6 weeks gestation
|
|
Compliance with low dose ASA for screen positive participants.
Time Frame: 16-36 weeks gestation
|
The 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.
|
16-36 weeks gestation
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Duration of the assessment
Time Frame: 11.3-13.6 weeks gestation
|
The investigators will assess the duration (in minute) required for completing data questionnaire, measuring arterial blood pressure and uterine artery Doppler
|
11.3-13.6 weeks gestation
|
|
Turnaround time from assessment to results
Time Frame: 11.3-16 weeks gestation
|
The investigators will measure the turnaround time (in business day) from screening requisition reaching laboratory to report issued to SHSC via fax
|
11.3-16 weeks gestation
|
|
Participant Satisfaction
Time Frame: 11.3-40 weeks gestation
|
The 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
|
11.3-40 weeks gestation
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Ronzoni, Sunnybrook Health Sciences Center
Publications and helpful links
General Publications
- 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.
- 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.
- 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. Erratum In: Ultrasound Obstet Gynecol. 2017 Dec;50(6):807.
- 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.
- 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. Erratum In: Ultrasound Obstet Gynecol. 2017 Dec;50(6):807.
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- PEprotocol
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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