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

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

ENROLLING_BY_INVITATION

Total Enrollment

1105 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-05-10

Study Completion Date

2025-11-06

Brief Summary

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This is Observational study, aiming to investigate the potentiality of cffDNA and cfRNA by a non-invasive test, in combination with clinical characteristics, to establish models for early screening and predicting high-risk pregnancy of PE, SPB, and GDM in Vietnam.

Detailed Description

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This study is estimated to enroll 663 pregnant women with adverse pregnancy complications, including 221 cases of PE/eclampsia, 221 cases of SPB due to Preterm premature rupture of membranes (PPROM) or preterm labor, and 221 cases of GDM. Furthermore, the control group will enroll 442 participants, who are healthy pregnancies, ≥ 37 weeks of gestation. Study subjects who participate should meet the study inclusion and exclusion criteria:

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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Pregnant With Complication Preeclampsia Preterm Birth Gestational Diabetes

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. At recruitment, women with singleton pregnancies must fulfill the conditions:

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

1. Multiple pregnancies
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).
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Medical Genetics Institute (MGI)

UNKNOWN

Sponsor Role collaborator

Gene Solutions

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Medical Genetics Institute

Ho Chi Minh City, Hồ Chí Minh, Vietnam

Site Status

Countries

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Vietnam

References

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Brosens I, Pijnenborg R, Vercruysse L, Romero R. The "Great Obstetrical Syndromes" are associated with disorders of deep placentation. Am J Obstet Gynecol. 2011 Mar;204(3):193-201. doi: 10.1016/j.ajog.2010.08.009. Epub 2010 Nov 20.

Reference Type BACKGROUND
PMID: 21094932 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25225057 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 32682859 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27190902 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 33562187 (View on PubMed)

Hod M, Lieberman N. Maternal-fetal medicine--how can we practically connect the "M" to the "F"? Best Pract Res Clin Obstet Gynaecol. 2015 Feb;29(2):270-83. doi: 10.1016/j.bpobgyn.2014.06.008. Epub 2014 Aug 21.

Reference Type BACKGROUND
PMID: 25225060 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27640943 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 17671254 (View on PubMed)

Becking EC, Scheffer PG, Henrichs J, Bax CJ, Crombag NMTH, Weiss MM, Macville MVE, Van Opstal D, Boon EMJ, Sistermans EA, Henneman L, Schuit E, Bekker MN. Fetal fraction of cell-free DNA in noninvasive prenatal testing and adverse pregnancy outcomes: a nationwide retrospective cohort study of 56,110 pregnant women. Am J Obstet Gynecol. 2024 Aug;231(2):244.e1-244.e18. doi: 10.1016/j.ajog.2023.12.008. Epub 2023 Dec 12.

Reference Type BACKGROUND
PMID: 38097030 (View on PubMed)

Karapetian capital A, Cyrilliccapital O, Cyrillic, Baev capital O, CyrillicR, Sadekova capital A, Cyrilliccapital A, Cyrillic, Krasnyi capital A, Cyrilliccapital EM, Cyrillic, Sukhikh GT. Cell-Free Foetal DNA as a Useful Marker for Preeclampsia Prediction. Reprod Sci. 2021 May;28(5):1563-1569. doi: 10.1007/s43032-021-00466-w. Epub 2021 Jan 21.

Reference Type BACKGROUND
PMID: 33475978 (View on PubMed)

Munchel S, Rohrback S, Randise-Hinchliff C, Kinnings S, Deshmukh S, Alla N, Tan C, Kia A, Greene G, Leety L, Rhoa M, Yeats S, Saul M, Chou J, Bianco K, O'Shea K, Bujold E, Norwitz E, Wapner R, Saade G, Kaper F. Circulating transcripts in maternal blood reflect a molecular signature of early-onset preeclampsia. Sci Transl Med. 2020 Jul 1;12(550):eaaz0131. doi: 10.1126/scitranslmed.aaz0131.

Reference Type BACKGROUND
PMID: 32611681 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 37211139 (View on PubMed)

Dugoff L, Barberio A, Whittaker PG, Schwartz N, Sehdev H, Bastek JA. Cell-free DNA fetal fraction and preterm birth. Am J Obstet Gynecol. 2016 Aug;215(2):231.e1-7. doi: 10.1016/j.ajog.2016.02.009. Epub 2016 Feb 11.

Reference Type BACKGROUND
PMID: 26875947 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31334093 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 35398029 (View on PubMed)

Weiner CP, Cuckle H, Weiss ML, Buhimschi IA, Dong Y, Zhou H, Ramsey R, Egerman R, Buhimschi CS. Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia. Diagnostics (Basel). 2022 May 27;12(6):1327. doi: 10.3390/diagnostics12061327.

Reference Type BACKGROUND
PMID: 35741140 (View on PubMed)

Guo Z, Yang F, Zhang J, Zhang Z, Li K, Tian Q, Hou H, Xu C, Lu Q, Ren Z, Yang X, Lv Z, Wang K, Yang X, Wu Y, Yang X. Whole-Genome Promoter Profiling of Plasma DNA Exhibits Diagnostic Value for Placenta-Origin Pregnancy Complications. Adv Sci (Weinh). 2020 Feb 18;7(7):1901819. doi: 10.1002/advs.201901819. eCollection 2020 Apr.

Reference Type BACKGROUND
PMID: 32274292 (View on PubMed)

Del Vecchio G, Li Q, Li W, Thamotharan S, Tosevska A, Morselli M, Sung K, Janzen C, Zhou X, Pellegrini M, Devaskar SU. Cell-free DNA Methylation and Transcriptomic Signature Prediction of Pregnancies with Adverse Outcomes. Epigenetics. 2021 Jun;16(6):642-661. doi: 10.1080/15592294.2020.1816774. Epub 2020 Oct 13.

Reference Type BACKGROUND
PMID: 33045922 (View on PubMed)

Hajian-Tilaki K. Sample size estimation in diagnostic test studies of biomedical informatics. J Biomed Inform. 2014 Apr;48:193-204. doi: 10.1016/j.jbi.2014.02.013. Epub 2014 Feb 26.

Reference Type BACKGROUND
PMID: 24582925 (View on PubMed)

Related Links

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http://doi.org/10.1007/978-3-030-14782-2_21

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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