The goal of this observational study is to develop and validate cell-free RNA-based biomarkers for predicting a variety of adverse pregnancy outcomes in a pregnant person population. The main question it aims to answer are: 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)?
This is a multi-center, prospective, observational cohort study, that involves the collection of blood samples from pregnant people during their second trimester of pregnancy. Maternal plasma is isolated from blood samples and subjected to transcriptome and other multi-omic analyses. In conjunction with blood sample collection, extensive clinical data are collected about the pregnancy including any pregnancy complications (e.g., preterm birth, preeclampsia) that may have arisen during pregnancy. Biological markers and clinical data are combined to develop and validate Mirvie's investigational predictive test.
Study Type
OBSERVATIONAL
Enrollment
10,000
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)
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
Clinical validation of cell-free RNA-based biomarkers of adverse pregnancy outcomes
This study will measure the test performance (e.g., ROC, sensitivity, specificity, negative and positive predictive value) of cell-free RNA-based biomarkers that are predictive of a variety of adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)
Time frame: December 2024
Discovery of multi-omic biomarkers of adverse pregnancy outcomes
This study will enable the identification of other biomarkers (e.g., proteomic, metabolomic) of adverse pregnancy outcomes
Time frame: December 2026
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