Fetal Clavicular Measurement to Predict Fetal Macrosomia
NCT ID: NCT06283277
Last Updated: 2024-02-28
Study Results
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Basic Information
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NOT_YET_RECRUITING
240 participants
OBSERVATIONAL
2024-05-01
2027-10-30
Brief Summary
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The aim of this study is to evaluate sensitivity of measuring fetal clavicle length in third trimester compared with biacromial diameter and Hadlock formula IV for prediction of fetal macrosomia.
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Detailed Description
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Despite its implications, the accurate diagnosis is after birth and its prenatal prediction is poor although published formulas for estimating fetal weight shows correlation with BW, however the variability of the estimate is up to 20% with most of formulas, meta-analysis of 29 studies showed sensitivity of 56% and specificity of 92% in predicting BW ≥ 4000gm accuracy of ultrasound decreases with increasing BW, BW\>4500 accurate prediction is only 33-44 % of cases. Given the poor predictability of macrosomia, variety of other techniques and formulas are investigated, neither repeated US examination nor growth curves improves predictability, Youssef's formula measuring biacromial diameter (distance by between both acromial processes which joins clavicles at acromioclavicular joints) and macrosomic specific formula seems to be predictive. In study evaluating clavicle length for shoulder dystocia, it found that measuring clavicle was significant for macrosomia however the limitation is small sample size and its comparison with other fetal biometrics may be needed.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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Singleton pregnant women at gestational age between 37-42 weeks
estimated fetal weight measured by ultrasound using Hadlock IV formula and Youssef's formula compared with the sensitivity of fetal clavicular measurement.
Obstetric Ultrasound
Measuring fetal clavicular length and estimated fetal weight using Hadlock IV formula and Youssef's formula.
Interventions
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Obstetric Ultrasound
Measuring fetal clavicular length and estimated fetal weight using Hadlock IV formula and Youssef's formula.
Eligibility Criteria
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Inclusion Criteria
* Gestational age between 37-42 weeks.
* Accepting to be included in the study.
Exclusion Criteria
18 Years
45 Years
FEMALE
Yes
Sponsors
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Assiut University
OTHER
Responsible Party
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Khaled Mustafa Attyia
principal investigator
Principal Investigators
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Alaa ElDin Abdelhamid Yusef Hasan
Role: STUDY_DIRECTOR
Emeritus Professor of obstetrics and gynecology
Ahmed Mohamed Abbas Sobh
Role: STUDY_DIRECTOR
Assistant Professor of obstetrics and gynecology
Mohamed Mahmoud Abdallah Mahmoud
Role: STUDY_DIRECTOR
Lecturer of obstetrics and gynecology
Central Contacts
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References
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Barth WH, Jackson R. ACOG PRACTICE BULLETIN Clinical Management Guidelines for Obstetrician-Gynecologists. American collage of obstetricians and gynocologists [Internet]. 2020 Jan;135:18-35. Available from: http://journals.lww.com/greenjournal
Nesbitt TS, Gilbert WM, Herrchen B. Shoulder dystocia and associated risk factors with macrosomic infants born in California. Am J Obstet Gynecol. 1998 Aug;179(2):476-80. doi: 10.1016/s0002-9378(98)70382-5.
Boulet SL, Alexander GR, Salihu HM, Pass M. Macrosomic births in the united states: determinants, outcomes, and proposed grades of risk. Am J Obstet Gynecol. 2003 May;188(5):1372-8. doi: 10.1067/mob.2003.302.
Zhang X, Decker A, Platt RW, Kramer MS. How big is too big? The perinatal consequences of fetal macrosomia. Am J Obstet Gynecol. 2008 May;198(5):517.e1-6. doi: 10.1016/j.ajog.2007.12.005.
Doty MS, Chen HY, Sibai BM, Chauhan SP. Maternal and Neonatal Morbidity Associated With Early Term Delivery of Large-for-Gestational-Age But Nonmacrosomic Neonates. Obstet Gynecol. 2019 Jun;133(6):1160-1166. doi: 10.1097/AOG.0000000000003285.
Hadlock FP, Deter RL, Harrist RB, Park SK. Estimating fetal age: computer-assisted analysis of multiple fetal growth parameters. Radiology. 1984 Aug;152(2):497-501. doi: 10.1148/radiology.152.2.6739822.
Malin GL, Bugg GJ, Takwoingi Y, Thornton JG, Jones NW. Antenatal magnetic resonance imaging versus ultrasound for predicting neonatal macrosomia: a systematic review and meta-analysis. BJOG. 2016 Jan;123(1):77-88. doi: 10.1111/1471-0528.13517. Epub 2015 Jul 29.
Scioscia M, Vimercati A, Ceci O, Vicino M, Selvaggi LE. Estimation of birth weight by two-dimensional ultrasonography: a critical appraisal of its accuracy. Obstet Gynecol. 2008 Jan;111(1):57-65. doi: 10.1097/01.AOG.0000296656.81143.e6.
Zafman KB, Bergh E, Fox NS. Accuracy of sonographic estimated fetal weight in suspected macrosomia: the likelihood of overestimating and underestimating the true birthweight. J Matern Fetal Neonatal Med. 2020 Mar;33(6):967-972. doi: 10.1080/14767058.2018.1511697. Epub 2018 Sep 3.
Sandmire HF. Whither ultrasonic prediction of fetal macrosomia? Obstet Gynecol. 1993 Nov;82(5):860-2.
Aviram A, Yogev Y, Ashwal E, Hiersch L, Danon D, Hadar E, Gabbay-Benziv R. Different formulas, different thresholds and different performance-the prediction of macrosomia by ultrasound. J Perinatol. 2017 Dec;37(12):1285-1291. doi: 10.1038/jp.2017.134. Epub 2017 Sep 14.
Zhang J, Kim S, Grewal J, Albert PS. Predicting large fetuses at birth: do multiple ultrasound examinations and longitudinal statistical modelling improve prediction? Paediatr Perinat Epidemiol. 2012 May;26(3):199-207. doi: 10.1111/j.1365-3016.2012.01261.x. Epub 2012 Feb 10.
Costantine MM, Mele L, Landon MB, Spong CY, Ramin SM, Casey B, Wapner RJ, Varner MW, Rouse DJ, Thorp JM Jr, Sciscione A, Catalano P, Caritis SN, Sorokin Y, Peaceman AM, Tolosa JE, Anderson GD; Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network, Bethesda, Maryland. Customized versus population approach for evaluation of fetal overgrowth. Am J Perinatol. 2013 Aug;30(7):565-72. doi: 10.1055/s-0032-1329188. Epub 2012 Nov 12.
Youssef AEA, Amin AF, Khalaf M, Khalaf MS, Ali MK, Abbas AM. Fetal biacromial diameter as a new ultrasound measure for prediction of macrosomia in term pregnancy: a prospective observational study. J Matern Fetal Neonatal Med. 2019 Aug;32(16):2674-2679. doi: 10.1080/14767058.2018.1445714. Epub 2018 Mar 7.
Porter B, Neely C, Szychowski J, Owen J. Ultrasonographic Fetal Weight Estimation: Should Macrosomia-Specific Formulas Be Utilized? Am J Perinatol. 2015 Aug;32(10):968-72. doi: 10.1055/s-0035-1545664. Epub 2015 Mar 2.
Terzi E. A new approach to predicting shoulder dystocia: fetal clavicle measurement. Turk J Med Sci. 2021 Aug 30;51(4):1932-1939. doi: 10.3906/sag-2011-145.
Yarkoni S, Schmidt W, Jeanty P, Reece EA, Hobbins JC. Clavicular measurement: a new biometric parameter for fetal evaluation. J Ultrasound Med. 1985 Sep;4(9):467-70. doi: 10.7863/jum.1985.4.9.467.
Sherer DM, Sokolovski M, Dalloul M, Khoury-Collado F, Osho JA, Lamarque MD, Abulafia O. Fetal clavicle length throughout gestation: a nomogram. Ultrasound Obstet Gynecol. 2006 Mar;27(3):306-10. doi: 10.1002/uog.2706.
Shmueli A, Salman L, Hadar E, Aviram A, Bardin R, Ashwal E, Gabbay-Benziv R. Sonographic prediction of macrosomia in pregnancies complicated by maternal diabetes: finding the best formula. Arch Gynecol Obstet. 2019 Jan;299(1):97-103. doi: 10.1007/s00404-018-4934-y. Epub 2018 Oct 16.
Other Identifiers
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fetal macrosomia
Identifier Type: -
Identifier Source: org_study_id
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