Study Results
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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ACTIVE_NOT_RECRUITING
10000 participants
OBSERVATIONAL
2021-08-01
2025-12-31
Brief Summary
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1. Can cell-free RNA-based biomarkers predict which pregnant people are at greatest risk of developing adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)?
2. What is the performance of such biomarkers when predicting an adverse pregnancy outcome (e.g., sensitivity, specificity, PPV, NPV, TPR)?
Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Pregnant People
Enrolling any pregnant person over the age of 18 with a singleton pregnancy with their pregnancy having been effectively dated by first trimester ultrasound or last menstrual period
Mirvie Predictive Test for Adverse Pregnancy Outcomes
This is a proprietary biomarker and clinical factor-based algorithm for predicting which pregnancies are at greatest risk of developing a variety of adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)
Interventions
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Mirvie Predictive Test for Adverse Pregnancy Outcomes
This is a proprietary biomarker and clinical factor-based algorithm for predicting which pregnancies are at greatest risk of developing a variety of adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)
Eligibility Criteria
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Inclusion Criteria
2. Subject is willing and able to provide up to 40 mL of blood via venipuncture and comply with all other study procedures.
3. Subject is a pregnant female before 22 weeks of gestation
4. Subject is at least 18 years of age
Exclusion Criteria
2. Subject is pregnant with multifetal gestation (e.g., twins)
3. Subject is planning to deliver via home birth
18 Years
FEMALE
No
Sponsors
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Mirvie
INDUSTRY
Responsible Party
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Locations
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University of California San Diego
San Diego, California, United States
Women's Care Florida
Orlando, Florida, United States
Ochsner Health System
New Orleans, Louisiana, United States
Beth Israel Deaconess Medical Center
Boston, Massachusetts, United States
Washington University School of Medicine
St Louis, Missouri, United States
The Ohio State University
Columbus, Ohio, United States
Thomas Jefferson University
Philadelphia, Pennsylvania, United States
University of Pittsburgh Medical Center
Pittsburgh, Pennsylvania, United States
University of Texas Medical Branch
Galveston, Texas, United States
MultiCare
Tacoma, Washington, United States
Countries
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References
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Rasmussen M, Reddy M, Nolan R, Camunas-Soler J, Khodursky A, Scheller NM, Cantonwine DE, Engelbrechtsen L, Mi JD, Dutta A, Brundage T, Siddiqui F, Thao M, Gee EPS, La J, Baruch-Gravett C, Santillan MK, Deb S, Ame SM, Ali SM, Adkins M, DePristo MA, Lee M, Namsaraev E, Gybel-Brask DJ, Skibsted L, Litch JA, Santillan DA, Sazawal S, Tribe RM, Roberts JM, Jain M, Hogdall E, Holzman C, Quake SR, Elovitz MA, McElrath TF. RNA profiles reveal signatures of future health and disease in pregnancy. Nature. 2022 Jan;601(7893):422-427. doi: 10.1038/s41586-021-04249-w. Epub 2022 Jan 5.
Camunas-Soler J, Gee EPS, Reddy M, Mi JD, Thao M, Brundage T, Siddiqui F, Hezelgrave NL, Shennan AH, Namsaraev E, Haverty C, Jain M, Elovitz MA, Rasmussen M, Tribe RM. Predictive RNA profiles for early and very early spontaneous preterm birth. Am J Obstet Gynecol. 2022 Jul;227(1):72.e1-72.e16. doi: 10.1016/j.ajog.2022.04.002. Epub 2022 Apr 6.
Other Identifiers
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Pro00050765
Identifier Type: OTHER
Identifier Source: secondary_id
MV-001
Identifier Type: -
Identifier Source: org_study_id