Developing & Evaluating Models for Early Predicting Obstetrical Diseases in Pregnant Women by Non-invasive Prenatal Test
NCT ID: NCT06385366
Last Updated: 2025-07-16
Study Results
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Basic Information
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ENROLLING_BY_INVITATION
1105 participants
OBSERVATIONAL
2024-05-10
2025-11-06
Brief Summary
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Detailed Description
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As part of the protocol, demographic data, medical and family history, outcomes at delivery, and any relevant prior concomitant medication data will be recorded during follow-up visits. All participants are to be followed until birth delivery.
SAMPLE COLLECTION
* At recruitment, 10 mL of peripheral blood is collected for cffDNA and cfRNA analyses.
* An available NIPT sample at 1st trimester is processed for cffDNA and cfRNA analyses.
* A case report forms (CRF-1 and CRF-2) are used to collect demographic data, medical and family history, any relevant prior concomitant medication data, and outcomes at delivery.
The study end date of a participant is estimated within 7 months since her enrollment date.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Cases: diagnosis of Preeclampsia/eclampsia, Preterm premature rupture of membranes (PPROM)/preterm labor leading to SPB, and/or gestational diabetes mellitus.
Controls: healthy pregnancy at ≥ 37 weeks of gestation
2. History of undergoing non-invasive prenatal testing (NIPT) at 9-13 weeks 6 days of gestation at Gene Solutions Lab. NIPT report was at low-risk. No abnormal fetal and maternal conditions were confirmed at NIPT time.
3. NIPT blood sample is available according to post-test sample storage procedures at Gene Solutions Lab.
4. Consent to voluntarily participate in the study
Exclusion Criteria
2. Pregnancy with any genetic abnormality
3. Pregnancy with any fetal structural abnormality
4. Pregnancy with indications for termination, miscarriage, or stillbirth due to other complications
5. Maternal medical history of diabetes mellitus type 1/ type 2, chronic hypertension, and chronic kidney disease. Maternal abnormal uterus anatomy and history of cervical cone biopsy sample or loop electrocautery excision procedures (LEEP).
18 Years
80 Years
FEMALE
No
Sponsors
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Medical Genetics Institute (MGI)
UNKNOWN
Gene Solutions
INDUSTRY
Responsible Party
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Locations
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Medical Genetics Institute
Ho Chi Minh City, Hồ Chí Minh, Vietnam
Countries
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References
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Gabbay-Benziv R, Baschat AA. Gestational diabetes as one of the "great obstetrical syndromes"--the maternal, placental, and fetal dialog. Best Pract Res Clin Obstet Gynaecol. 2015 Feb;29(2):150-5. doi: 10.1016/j.bpobgyn.2014.04.025. Epub 2014 Aug 20.
Chaemsaithong P, Sahota DS, Poon LC. First trimester preeclampsia screening and prediction. Am J Obstet Gynecol. 2022 Feb;226(2S):S1071-S1097.e2. doi: 10.1016/j.ajog.2020.07.020. Epub 2020 Jul 16.
Rani PR, Begum J. Screening and Diagnosis of Gestational Diabetes Mellitus, Where Do We Stand. J Clin Diagn Res. 2016 Apr;10(4):QE01-4. doi: 10.7860/JCDR/2016/17588.7689. Epub 2016 Apr 1.
Reicher L, Fouks Y, Yogev Y. Cervical Assessment for Predicting Preterm Birth-Cervical Length and Beyond. J Clin Med. 2021 Feb 7;10(4):627. doi: 10.3390/jcm10040627.
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Roberge S, Nicolaides K, Demers S, Hyett J, Chaillet N, Bujold E. The role of aspirin dose on the prevention of preeclampsia and fetal growth restriction: systematic review and meta-analysis. Am J Obstet Gynecol. 2017 Feb;216(2):110-120.e6. doi: 10.1016/j.ajog.2016.09.076. Epub 2016 Sep 15.
Fonseca EB, Celik E, Parra M, Singh M, Nicolaides KH; Fetal Medicine Foundation Second Trimester Screening Group. Progesterone and the risk of preterm birth among women with a short cervix. N Engl J Med. 2007 Aug 2;357(5):462-9. doi: 10.1056/NEJMoa067815.
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Zhou S, Li J, Yang W, Xue P, Yin Y, Wang Y, Tian P, Peng H, Jiang H, Xu W, Huang S, Zhang R, Wei F, Sun HX, Zhang J, Zhao L. Noninvasive preeclampsia prediction using plasma cell-free RNA signatures. Am J Obstet Gynecol. 2023 Nov;229(5):553.e1-553.e16. doi: 10.1016/j.ajog.2023.05.015. Epub 2023 May 19.
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Darghahi R, Mobaraki-Asl N, Ghavami Z, Pourfarzi F, Hosseini-Asl S, Jalilvand F. Effect of cell-free fetal DNA on spontaneous preterm labor. J Adv Pharm Technol Res. 2019 Jul-Sep;10(3):117-120. doi: 10.4103/japtr.JAPTR_371_18.
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.
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Related Links
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Mastrolia SA, Cetin I. The "Great Obstetrical Syndromes". In: Petraglia F, Fauser BC, editors. Female Reproductive Dysfunction. Cham: Springer International Publishing; 2020. p. 411-30. Available from: https://doi.org/10.1007/978-3-030-14782-2\_21.
Other Identifiers
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GS_NP1
Identifier Type: -
Identifier Source: org_study_id
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