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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UNKNOWN
300 participants
OBSERVATIONAL
2020-11-01
2022-03-01
Brief Summary
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Detailed Description
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This multicenter study aims at assessing the natural history of twin pregnancy, and developing a machine learning-based algorithm to predict clinical outcomes of twin pregnancy during pregnancy and delivery and to determine management strategies that are associated with best maternal and neonatal outcomes.
Medical records of eligible women will be reviewed, and data abstraction will be performed using a standardized excel sheet designed for this study. Target data include baseline demographics and clinical data (e.g. age, parity, ethnicity, smoking, IVF pregnancy, history of gynecologic surgeries, type of twin pregnancy, current medical disorders, current obstetric complications, fetal anomalies, administration of antenatal steroids, Placental site, and twin-specific complications). Information from serial ultrasound reports including fetal growth and Doppler studies will be collected and data on fetal intervention will be abstracted. Peripartum data include node of delivery, Method of induction, CS indication, and type of cesarean incision. Clinical outcomes include postpartum hemorrhage, and perinatal death, admission to neonatal intensive care unit (NICU), neonatal need for respiratory support, neonatal intracranial hemorrhage, neonatal respiratory distress syndrome and neonatal hypoxic ischemic encephalopathy. Data will not include any identifiable information.
Prediction model will be created using baseline demographic and obstetric features of pregnancy and individual maternal and perinatal complications will be set as outcomes (dependent variables). A composite outcome of major maternal and neonatal outcomes will be created separately.
Conditions
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Study Design
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CASE_ONLY
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. Compliance to antenatal care visits
Exclusion Criteria
2. Elective miscarriage
3. Authorization to use medical records was not provided by the patient
18 Years
45 Years
FEMALE
No
Sponsors
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Middle-East OBGYN Graduate Education Foundation
OTHER
Assiut University
OTHER
Responsible Party
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Sherif Abdelkarim Mohammed Shazly
M.B.B.Ch, M.S.c in Gynecology and Obstetrics
Principal Investigators
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Sherif A Shazly, M.Sc
Role: PRINCIPAL_INVESTIGATOR
Assiut University
Central Contacts
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References
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Qin JB, Wang H, Sheng X, Xie Q, Gao S. Assisted reproductive technology and risk of adverse obstetric outcomes in dichorionic twin pregnancies: a systematic review and meta-analysis. Fertil Steril. 2016 May;105(5):1180-1192. doi: 10.1016/j.fertnstert.2015.12.131. Epub 2016 Jan 19.
Huang J, Maguire MG, Ciner E, Kulp MT, Cyert LA, Quinn GE, Orel-Bixler D, Moore B, Ying GS; Vision in Preschoolers (VIP) Study Group. Risk factors for astigmatism in the Vision in Preschoolers Study. Optom Vis Sci. 2014 May;91(5):514-21. doi: 10.1097/OPX.0000000000000242.
Adinma JI, Agbai AO. Multiple births in Nigerian Igbo women: incidence and outcomes. J Obstet Gynaecol. 1997 Jan;17(1):42-4. doi: 10.1080/01443619750114077.
Mutihir JT, Pam VC. Obstetric outcome of twin pregnancies in Jos, Nigeria. Niger J Clin Pract. 2007 Mar;10(1):15-8.
Rzyska E, Ajay B, Chandraharan E. Safety of vaginal delivery among dichorionic diamniotic twins over 10 years in a UK teaching hospital. Int J Gynaecol Obstet. 2017 Jan;136(1):98-101. doi: 10.1002/ijgo.12017. Epub 2016 Nov 3.
Kong CW, To WWK. The predicting factors and outcomes of caesarean section of the second twin. J Obstet Gynaecol. 2017 Aug;37(6):709-713. doi: 10.1080/01443615.2017.1286466. Epub 2017 Mar 21.
Kato K, Fujiki K. Multiple births and congenital anomalies in Tokyo Metropolitan Hospitals, 1979-1990. Acta Genet Med Gemellol (Roma). 1992;41(4):253-9. doi: 10.1017/s0001566000002117.
Rodis JF, McIlveen PF, Egan JF, Borgida AF, Turner GW, Campbell WA. Monoamniotic twins: improved perinatal survival with accurate prenatal diagnosis and antenatal fetal surveillance. Am J Obstet Gynecol. 1997 Nov;177(5):1046-9. doi: 10.1016/s0002-9378(97)70012-7.
Carroll SG, Soothill PW, Abdel-Fattah SA, Porter H, Montague I, Kyle PM. Prediction of chorionicity in twin pregnancies at 10-14 weeks of gestation. BJOG. 2002 Feb;109(2):182-6. doi: 10.1111/j.1471-0528.2002.01172.x.
Lee YM, Cleary-Goldman J, Thaker HM, Simpson LL. Antenatal sonographic prediction of twin chorionicity. Am J Obstet Gynecol. 2006 Sep;195(3):863-7. doi: 10.1016/j.ajog.2006.06.039.
Cao K, Verspoor K, Sahebjada S, Baird PN. Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus. Transl Vis Sci Technol. 2020 Apr 24;9(2):24. doi: 10.1167/tvst.9.2.24. eCollection 2020 Apr.
Other Identifiers
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Twin-CTB
Identifier Type: -
Identifier Source: org_study_id
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