Fetal Abdominal Subcutaneous Tissue Thickness in Prediction of Fetal Weight in Term Pregnant Women

NCT ID: NCT06456957

Last Updated: 2024-06-13

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

NOT_YET_RECRUITING

Total Enrollment

240 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-09-30

Study Completion Date

2026-07-31

Brief Summary

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Fetal Abdominal subcutaneous tissue thickness (FASTT) can be easily measured during the routine ultrasound examination of pregnant women. Numerous reports have shown FASTT measurement to be a good way of evaluating subcutaneous fat tissue.

However, to the best of our knowledge, no studies have investigated the association of FASTT with abnormal fetal growth in nondiabetic. For this reason, in this study we evaluated whether FASTT can predict birth weight or diagnose LGA and/or LBW infants in the third trimester.

Detailed Description

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The fetal weight assessment by ultrasound is essential in obstetric practice to determine the labor mode, time, and management. It is an important to detect fetal growth abnormalities such as small for gestational age (SGA), fetal growth restriction (FGR) and large for gestational age (LGA) fetuses; thus, it could help in decreasing the perinatal morbidity and mortality rates \[1\]. Many methods have been introduced to estimate the weight in utero, and many studies have evaluated their effectiveness to detect the most accurate method \[2\]. Abnormal fetal growth can be diagnosed by ultrasound. Conventional ultrasonic measurements, such as estimated fetal weight (EFW) and abdominal circumference (AC) can distinguish LGA/macrosomia or LBW infants. Many studies have demonstrated that expected fetal weight (EFW) by the traditional techniques is not a reliable indicator of growth abnormalities; consequently several other sono graphic measurements have been proposed \[3\]. Ultrasound has its limitations despite the use of more than 50 different formulae to estimate fetal weight as their performance is poor at the extremes of fetal weight. There has been emerging interest in studying fetal soft tissue measurements to improve the detection of growth abnormalities \[4\].

Fetal Abdominal subcutaneous tissue thickness (FASTT) can be easily measured during the routine ultrasound examination of pregnant women. Numerous reports have shown FASTT measurement to be a good way of evaluating subcutaneous fat tissue \[5\].Furthermore, some researchers have investigated links between FASTT and diabetes \[6\].

However, to the best of our knowledge, no studies have investigated the association of FASTT with abnormal fetal growth in nondiabetic. For this reason, in this study we evaluated whether FASTT can predict birth weight or diagnose LGA and/or LBW infants in the third trimester.

Conditions

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Ultrasound Fetal Weight

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. Singleton pregnancy.
2. Gestational age between 37-42 weeks.
3. Accepting to be included in the study

Exclusion Criteria

1. Pre-gestational diabetes and gestational diabetes.
2. Other medical disorder as hypertensive disorder during pregnancy, cardiac diseases.
3. Congenital fetal malformation affecting birth weight or affecting clavicle.
Minimum Eligible Age

18 Years

Maximum Eligible Age

40 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Mohamed Mahmoud Abdallah

Lecturer of Obstetrics and Gynecology

Responsibility Role PRINCIPAL_INVESTIGATOR

References

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Ebada MA, Elmatboly AM, Baligh G. Intravenous Oxytocin versus Intramuscular Oxytocin for the Management of Postpartum Hemorrhage: A Systematic Review and Meta-Analysis. Curr Drug Res Rev. 2020;12(2):150-157. doi: 10.2174/2589977512666200628013647.

Reference Type BACKGROUND
PMID: 32600245 (View on PubMed)

El-Sayed MR, Soliman BS, Zaitoun MM, Shorbaji E, Mohammed RJ. Clinical and ultrasound estimation of fetal weight at term and its accuracy with birth weight. The Egyptian Journal of Hospital Medicine. 2020 Oct 1;81(7):2468-75

Reference Type BACKGROUND

A Oun Y, M Gebril M, M El-Mazzaly S. Measurement of Fetal Abdominal Subcutaneous Tissue Thickness by Ultrasound in Prediction of Birth Weight at Term Pregnancy. Al-Azhar Medical Journal. 2020 Oct 1;49(4):1653-62.

Reference Type BACKGROUND

Lu Y, Fu X, Chen F, Wong KKL. Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning. Artif Intell Med. 2020 Jan;102:101748. doi: 10.1016/j.artmed.2019.101748. Epub 2019 Nov 17.

Reference Type BACKGROUND
PMID: 31980089 (View on PubMed)

Bethune M, Bell R. Evaluation of the measurement of the fetal fat layer, interventricular septum and abdominal circumference percentile in the prediction of macrosomia in pregnancies affected by gestational diabetes. Ultrasound Obstet Gynecol. 2003 Dec;22(6):586-90. doi: 10.1002/uog.885.

Reference Type BACKGROUND
PMID: 14689530 (View on PubMed)

Higgins MF, Russell NM, Mulcahy CH, Coffey M, Foley ME, McAuliffe FM. Fetal anterior abdominal wall thickness in diabetic pregnancy. Eur J Obstet Gynecol Reprod Biol. 2008 Sep;140(1):43-7. doi: 10.1016/j.ejogrb.2008.02.021. Epub 2008 Apr 11.

Reference Type BACKGROUND
PMID: 18406510 (View on PubMed)

Lindstrom L, Cnattingius S, Axelsson O, Granfors M. Accuracy and precision of sonographic fetal weight estimation in Sweden. Acta Obstet Gynecol Scand. 2023 Jun;102(6):699-707. doi: 10.1111/aogs.14554. Epub 2023 Mar 25.

Reference Type BACKGROUND
PMID: 36964980 (View on PubMed)

Singh, A., Chander, R. and Kumari, S. (2014) Estimation of Fetal Weight and Its Correlation with Actual Birth Weight by Sonographic Measurement of Fetal Abdominal Subcutaneous Tissue Thickness. Journal of Evolution of Medical and Dental Sciences , 3, 9610-9621. https://doi.org/10.14260/jemds/2014/3244

Reference Type BACKGROUND

Other Identifiers

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FASTT trial

Identifier Type: -

Identifier Source: org_study_id

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