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
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
400 participants
OBSERVATIONAL
2023-10-01
2024-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Non-invasive Placental Chromosome Exploration of Intrauterine Growth Restriction
NCT05023161
First Trimester Placental Assessment in the Screening of Preeclampsia and Intrauterine Growth Restriction
NCT02879942
Gestational Diabetes Mellitus: "Placental-maternal Crosstalk and Future Health"
NCT05872009
Innovations in Placental Metabolism and Association With Antioxidants and Nutrients in Diabetes and Gestational Obesity
NCT05174728
Study of the Fetal and Maternal Microbiota in Preganant Women With Fetal Defect Growth
NCT04047966
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
The investigators believe that maternal and perinatal complications in this group of pregnant women could be detected preclinically and allow early preventive actions.
On the other hand, establishing a differentiated genomic pattern in this group of patients would allow preventive actions both pregestational and during gestation. Furthermore, FORgenomics can be used to externally validate a prediction model for the development of PE and IUGR in pregnancy after IVF/ovodon. Our results could be applicable in most healthcare settings and have important implications for maternal-fetal health.
The justification and hypothesis of this proposal is: (1) maternal and perinatal complications in this group of pregnant women could be detected preclinically and allow preventive actions by systematic screening based on Doppler ultrasound of uterine arteries and anti-angiogenic factors (sFlt-1/PlGF ratio) at 13, 16, 20 and 26 weeks to identify pregnant women at high risk for developing PE; (2) morphological ultrasound at 13, 16 and 20 weeks would help to establish a standardized procedure for early detection of congenital anomalies and (3) establishing a differentiated genomic pattern in this group of patients would allow preventive actions both pregestational and during gestation.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Doppler ultrasound
Doppler ultrasound at 13, 16, 20 and 26 weeks for assessment of uterine arteries according to ISUOG criteria.
Blood sample
Blood sampling at 13, 16, 20, 26 weeks of gestation to determine the sFlt-1/PlGF ratio
Blood sample
Blood sampling at week 13 for DNA extraction for genomic studies
Doppler ultrasound
Fetal morphological ultrasound at 13, 16 and 20 weeks.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Age ≥40 years
* Signed informed consent
* Gestation obtained by IVF or ovodonation
Exclusion Criteria
* Gestation obtained by artificial insemination
* Naturally obtained gestation, without ART
* Multiple pregnancy
* Pregnancies complicated by major fetal abnormality identified at the first-trimester ultrasound
* Age \<18 years
* Poor understanding of the Spanish or English languages
* Refusal in informed consent to participate in the study
* Participation in another intervention study that could modify follow-up
40 Years
FEMALE
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Hospitales Universitarios Virgen del Rocío
OTHER
University of Seville
OTHER
Clínicas Ginemed
UNKNOWN
FIRST - Fetal, IVF and Reproduction Simulation Training Center
UNKNOWN
Fundación Ginemed
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
References
Explore related publications, articles, or registry entries linked to this study.
Usta IM, Nassar AH. Advanced maternal age. Part I: obstetric complications. Am J Perinatol. 2008 Sep;25(8):521-34. doi: 10.1055/s-0028-1085620. Epub 2008 Sep 4.
Zegers-Hochschild F, Adamson GD, de Mouzon J, Ishihara O, Mansour R, Nygren K, Sullivan E, Vanderpoel S; International Committee for Monitoring Assisted Reproductive Technology; World Health Organization. International Committee for Monitoring Assisted Reproductive Technology (ICMART) and the World Health Organization (WHO) revised glossary of ART terminology, 2009. Fertil Steril. 2009 Nov;92(5):1520-4. doi: 10.1016/j.fertnstert.2009.09.009. Epub 2009 Oct 14.
Thoma ME, McLain AC, Louis JF, King RB, Trumble AC, Sundaram R, Buck Louis GM. Prevalence of infertility in the United States as estimated by the current duration approach and a traditional constructed approach. Fertil Steril. 2013 Apr;99(5):1324-1331.e1. doi: 10.1016/j.fertnstert.2012.11.037. Epub 2013 Jan 3.
Cedars MI, Taymans SE, DePaolo LV, Warner L, Moss SB, Eisenberg ML. The sixth vital sign: what reproduction tells us about overall health. Proceedings from a NICHD/CDC workshop. Hum Reprod Open. 2017 Jul 12;2017(2):hox008. doi: 10.1093/hropen/hox008. eCollection 2017.
American College of Obstetricians and Gynecologists' Committee on Obstetric Practice; Committee on Genetics; U.S. Food and Drug Administration. Committee Opinion No 671: Perinatal Risks Associated With Assisted Reproductive Technology. Obstet Gynecol. 2016 Sep;128(3):e61-8. doi: 10.1097/AOG.0000000000001643.
Pandey S, Shetty A, Hamilton M, Bhattacharya S, Maheshwari A. Obstetric and perinatal outcomes in singleton pregnancies resulting from IVF/ICSI: a systematic review and meta-analysis. Hum Reprod Update. 2012 Sep-Oct;18(5):485-503. doi: 10.1093/humupd/dms018. Epub 2012 May 19.
Schieve LA, Cohen B, Nannini A, Ferre C, Reynolds MA, Zhang Z, Jeng G, Macaluso M, Wright VC; Massachusetts Consortium for Assisted Reproductive Technology Epidemiologic Research (MCARTER). A population-based study of maternal and perinatal outcomes associated with assisted reproductive technology in Massachusetts. Matern Child Health J. 2007 Nov;11(6):517-25. doi: 10.1007/s10995-007-0202-7. Epub 2007 Mar 8.
Qin JB, Sheng XQ, Wang H, Chen GC, Yang J, Yu H, Yang TB. Worldwide prevalence of adverse pregnancy outcomes associated with in vitro fertilization/intracytoplasmic sperm injection among multiple births: a systematic review and meta-analysis based on cohort studies. Arch Gynecol Obstet. 2017 Mar;295(3):577-597. doi: 10.1007/s00404-017-4291-2. Epub 2017 Feb 6.
Helmerhorst FM, Perquin DA, Donker D, Keirse MJ. Perinatal outcome of singletons and twins after assisted conception: a systematic review of controlled studies. BMJ. 2004 Jan 31;328(7434):261. doi: 10.1136/bmj.37957.560278.EE. Epub 2004 Jan 23.
Jackson RA, Gibson KA, Wu YW, Croughan MS. Perinatal outcomes in singletons following in vitro fertilization: a meta-analysis. Obstet Gynecol. 2004 Mar;103(3):551-63. doi: 10.1097/01.AOG.0000114989.84822.51.
McDonald SD, Han Z, Mulla S, Murphy KE, Beyene J, Ohlsson A; Knowledge Synthesis Group. Preterm birth and low birth weight among in vitro fertilization singletons: a systematic review and meta-analyses. Eur J Obstet Gynecol Reprod Biol. 2009 Oct;146(2):138-48. doi: 10.1016/j.ejogrb.2009.05.035. Epub 2009 Jul 4.
Qin J, Liu X, Sheng X, Wang H, Gao S. Assisted reproductive technology and the risk of pregnancy-related complications and adverse pregnancy outcomes in singleton pregnancies: a meta-analysis of cohort studies. Fertil Steril. 2016 Jan;105(1):73-85.e1-6. doi: 10.1016/j.fertnstert.2015.09.007. Epub 2015 Oct 9.
Kawwass JF, Monsour M, Crawford S, Kissin DM, Session DR, Kulkarni AD, Jamieson DJ; National ART Surveillance System (NASS) Group. Trends and outcomes for donor oocyte cycles in the United States, 2000-2010. JAMA. 2013 Dec 11;310(22):2426-34. doi: 10.1001/jama.2013.280924.
Jeve YB, Potdar N, Opoku A, Khare M. Donor oocyte conception and pregnancy complications: a systematic review and meta-analysis. BJOG. 2016 Aug;123(9):1471-80. doi: 10.1111/1471-0528.13910. Epub 2016 Feb 8.
Jacobsson B, Ladfors L, Milsom I. Advanced maternal age and adverse perinatal outcome. Obstet Gynecol. 2004 Oct;104(4):727-33. doi: 10.1097/01.AOG.0000140682.63746.be.
Kenny LC, Lavender T, McNamee R, O'Neill SM, Mills T, Khashan AS. Advanced maternal age and adverse pregnancy outcome: evidence from a large contemporary cohort. PLoS One. 2013;8(2):e56583. doi: 10.1371/journal.pone.0056583. Epub 2013 Feb 20.
Yogev Y, Melamed N, Bardin R, Tenenbaum-Gavish K, Ben-Shitrit G, Ben-Haroush A. Pregnancy outcome at extremely advanced maternal age. Am J Obstet Gynecol. 2010 Dec;203(6):558.e1-7. doi: 10.1016/j.ajog.2010.07.039. Epub 2010 Oct 20.
Reddy UM, Ko CW, Willinger M. Maternal age and the risk of stillbirth throughout pregnancy in the United States. Am J Obstet Gynecol. 2006 Sep;195(3):764-70. doi: 10.1016/j.ajog.2006.06.019.
Lean SC, Derricott H, Jones RL, Heazell AEP. Advanced maternal age and adverse pregnancy outcomes: A systematic review and meta-analysis. PLoS One. 2017 Oct 17;12(10):e0186287. doi: 10.1371/journal.pone.0186287. eCollection 2017.
Wennberg AL, Opdahl S, Bergh C, Aaris Henningsen AK, Gissler M, Romundstad LB, Pinborg A, Tiitinen A, Skjaerven R, Wennerholm UB. Effect of maternal age on maternal and neonatal outcomes after assisted reproductive technology. Fertil Steril. 2016 Oct;106(5):1142-1149.e14. doi: 10.1016/j.fertnstert.2016.06.021. Epub 2016 Jul 9.
Wen J, Jiang J, Ding C, Dai J, Liu Y, Xia Y, Liu J, Hu Z. Birth defects in children conceived by in vitro fertilization and intracytoplasmic sperm injection: a meta-analysis. Fertil Steril. 2012 Jun;97(6):1331-7.e1-4. doi: 10.1016/j.fertnstert.2012.02.053. Epub 2012 Apr 3.
Boulet SL, Kirby RS, Reefhuis J, Zhang Y, Sunderam S, Cohen B, Bernson D, Copeland G, Bailey MA, Jamieson DJ, Kissin DM; States Monitoring Assisted Reproductive Technology (SMART) Collaborative. Assisted Reproductive Technology and Birth Defects Among Liveborn Infants in Florida, Massachusetts, and Michigan, 2000-2010. JAMA Pediatr. 2016 Jun 6;170(6):e154934. doi: 10.1001/jamapediatrics.2015.4934. Epub 2016 Jun 6.
Giorgione V, Parazzini F, Fesslova V, Cipriani S, Candiani M, Inversetti A, Sigismondi C, Tiberio F, Cavoretto P. Congenital heart defects in IVF/ICSI pregnancy: systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2018 Jan;51(1):33-42. doi: 10.1002/uog.18932.
Society for Maternal-Fetal Medicine (SMFM). Electronic address: [email protected]; Martins JG, Biggio JR, Abuhamad A. Society for Maternal-Fetal Medicine Consult Series #52: Diagnosis and management of fetal growth restriction: (Replaces Clinical Guideline Number 3, April 2012). Am J Obstet Gynecol. 2020 Oct;223(4):B2-B17. doi: 10.1016/j.ajog.2020.05.010. Epub 2020 May 12.
Gordijn SJ, Beune IM, Thilaganathan B, Papageorghiou A, Baschat AA, Baker PN, Silver RM, Wynia K, Ganzevoort W. Consensus definition of fetal growth restriction: a Delphi procedure. Ultrasound Obstet Gynecol. 2016 Sep;48(3):333-9. doi: 10.1002/uog.15884.
Cantwell R, Clutton-Brock T, Cooper G, Dawson A, Drife J, Garrod D, Harper A, Hulbert D, Lucas S, McClure J, Millward-Sadler H, Neilson J, Nelson-Piercy C, Norman J, O'Herlihy C, Oates M, Shakespeare J, de Swiet M, Williamson C, Beale V, Knight M, Lennox C, Miller A, Parmar D, Rogers J, Springett A. Saving Mothers' Lives: Reviewing maternal deaths to make motherhood safer: 2006-2008. The Eighth Report of the Confidential Enquiries into Maternal Deaths in the United Kingdom. BJOG. 2011 Mar;118(Suppl 1):1-203. doi: 10.1111/j.1471-0528.2010.02847.x.
Dall'Asta A, D'Antonio F, Saccone G, Buca D, Mastantuoni E, Liberati M, Flacco ME, Frusca T, Ghi T. Cardiovascular events following pregnancy complicated by pre-eclampsia with emphasis on comparison between early- and late-onset forms: systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2021 May;57(5):698-709. doi: 10.1002/uog.22107.
Roberts LM, Davis GK, Homer CS. Pregnancy with gestational hypertension or preeclampsia: A qualitative exploration of women's experiences. Midwifery. 2017 Mar;46:17-23. doi: 10.1016/j.midw.2017.01.004. Epub 2017 Jan 10.
Bergink V, Laursen TM, Johannsen BM, Kushner SA, Meltzer-Brody S, Munk-Olsen T. Pre-eclampsia and first-onset postpartum psychiatric episodes: a Danish population-based cohort study. Psychol Med. 2015 Dec;45(16):3481-9. doi: 10.1017/S0033291715001385. Epub 2015 Aug 5.
Chesley LC, Cooper DW. Genetics of hypertension in pregnancy: possible single gene control of pre-eclampsia and eclampsia in the descendants of eclamptic women. Br J Obstet Gynaecol. 1986 Sep;93(9):898-908. doi: 10.1111/j.1471-0528.1986.tb08006.x.
Skjaerven R, Vatten LJ, Wilcox AJ, Ronning T, Irgens LM, Lie RT. Recurrence of pre-eclampsia across generations: exploring fetal and maternal genetic components in a population based cohort. BMJ. 2005 Oct 15;331(7521):877. doi: 10.1136/bmj.38555.462685.8F. Epub 2005 Sep 16.
Williams PJ, Broughton Pipkin F. The genetics of pre-eclampsia and other hypertensive disorders of pregnancy. Best Pract Res Clin Obstet Gynaecol. 2011 Aug;25(4):405-17. doi: 10.1016/j.bpobgyn.2011.02.007. Epub 2011 Mar 22.
Valenzuela FJ, Perez-Sepulveda A, Torres MJ, Correa P, Repetto GM, Illanes SE. Pathogenesis of preeclampsia: the genetic component. J Pregnancy. 2012;2012:632732. doi: 10.1155/2012/632732. Epub 2011 Dec 1.
Gallo DM, Wright D, Casanova C, Campanero M, Nicolaides KH. Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 19-24 weeks' gestation. Am J Obstet Gynecol. 2016 May;214(5):619.e1-619.e17. doi: 10.1016/j.ajog.2015.11.016. Epub 2015 Nov 25.
Rolnik DL, Wright D, Poon LC, O'Gorman N, Syngelaki A, de Paco Matallana C, Akolekar R, Cicero S, Janga D, Singh M, Molina FS, Persico N, Jani JC, Plasencia W, Papaioannou G, Tenenbaum-Gavish K, Meiri H, Gizurarson S, Maclagan K, Nicolaides KH. Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia. N Engl J Med. 2017 Aug 17;377(7):613-622. doi: 10.1056/NEJMoa1704559. Epub 2017 Jun 28.
Rodriguez-Calvo J, Villalain C, Gomez-Arriaga PI, Quezada MS, Herraiz I, Galindo A. Prediction of perinatal survival in early-onset fetal growth restriction: role of placental growth factor. Ultrasound Obstet Gynecol. 2023 Feb;61(2):181-190. doi: 10.1002/uog.26116.
Crovetto F, Triunfo S, Crispi F, Rodriguez-Sureda V, Roma E, Dominguez C, Gratacos E, Figueras F. First-trimester screening with specific algorithms for early- and late-onset fetal growth restriction. Ultrasound Obstet Gynecol. 2016 Sep;48(3):340-8. doi: 10.1002/uog.15879.
Andrietti S, Silva M, Wright A, Wright D, Nicolaides KH. Competing-risks model in screening for pre-eclampsia by maternal factors and biomarkers at 35-37 weeks' gestation. Ultrasound Obstet Gynecol. 2016 Jul;48(1):72-9. doi: 10.1002/uog.15812. Epub 2016 May 30.
Ciobanu A, Wright A, Panaitescu A, Syngelaki A, Wright D, Nicolaides KH. Prediction of imminent preeclampsia at 35-37 weeks gestation. Am J Obstet Gynecol. 2019 Jun;220(6):584.e1-584.e11. doi: 10.1016/j.ajog.2019.01.235. Epub 2019 Feb 7.
Llurba E, Crispi F, Verlohren S. Update on the pathophysiological implications and clinical role of angiogenic factors in pregnancy. Fetal Diagn Ther. 2015;37(2):81-92. doi: 10.1159/000368605. Epub 2015 Feb 3.
Velez MP, Hamel C, Hutton B, Gaudet L, Walker M, Thuku M, Cobey KD, Pratt M, Skidmore B, Smith GN. Care plans for women pregnant using assisted reproductive technologies: a systematic review. Reprod Health. 2019 Jan 29;16(1):9. doi: 10.1186/s12978-019-0667-z.
Bhide A, Acharya G, Bilardo CM, Brezinka C, Cafici D, Hernandez-Andrade E, Kalache K, Kingdom J, Kiserud T, Lee W, Lees C, Leung KY, Malinger G, Mari G, Prefumo F, Sepulveda W, Trudinger B. ISUOG practice guidelines: use of Doppler ultrasonography in obstetrics. Ultrasound Obstet Gynecol. 2013 Feb;41(2):233-39. doi: 10.1002/uog.12371. No abstract available.
Lucas-Carrasco R. Reliability and validity of the Spanish version of the World Health Organization-Five Well-Being Index in elderly. Psychiatry Clin Neurosci. 2012 Oct;66(6):508-13. doi: 10.1111/j.1440-1819.2012.02387.x.
Pena-Chilet M, Roldan G, Perez-Florido J, Ortuno FM, Carmona R, Aquino V, Lopez-Lopez D, Loucera C, Fernandez-Rueda JL, Gallego A, Garcia-Garcia F, Gonzalez-Neira A, Pita G, Nunez-Torres R, Santoyo-Lopez J, Ayuso C, Minguez P, Avila-Fernandez A, Corton M, Moreno-Pelayo MA, Morin M, Gallego-Martinez A, Lopez-Escamez JA, Borrego S, Antinolo G, Amigo J, Salgado-Garrido J, Pasalodos-Sanchez S, Morte B; Spanish Exome Crowdsourcing Consortium; Carracedo A, Alonso A, Dopazo J. CSVS, a crowdsourcing database of the Spanish population genetic variability. Nucleic Acids Res. 2021 Jan 8;49(D1):D1130-D1137. doi: 10.1093/nar/gkaa794.
Plagnol V, Curtis J, Epstein M, Mok KY, Stebbings E, Grigoriadou S, Wood NW, Hambleton S, Burns SO, Thrasher AJ, Kumararatne D, Doffinger R, Nejentsev S. A robust model for read count data in exome sequencing experiments and implications for copy number variant calling. Bioinformatics. 2012 Nov 1;28(21):2747-54. doi: 10.1093/bioinformatics/bts526. Epub 2012 Aug 31.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
0001
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.