Evaluating the Role of Ultrasonographic Measurements in Assessing Macrosomia Among the Fetuses of High-Risk Antenatal Women in a Tertiary Care Hospital

Background and objective Fetal macrosomia, defined as a birth weight >4.0 kg, is associated with serious maternal and neonatal complications such as prolonged labor, cesarean delivery, postpartum hemorrhage, birth trauma, and long-term metabolic risks. Maternal factors, particularly gestational diabetes mellitus (GDM), excessive weight gain, and certain comorbidities, increase the risk of macrosomia. Early detection in high-risk pregnancies is crucial to guide clinical management and improve outcomes. Conventional sonographic estimated fetal weight (EFW) provides important information but may lack accuracy. Novel markers such as umbilical cord thickness (UCT), fetal fat layer (FFL), and shoulder pad thickness (SPT) have shown potential predictive value. This study aimed to evaluate the accuracy of these sonographic parameters in predicting fetal macrosomia among high-risk pregnancies in a tertiary care setting. Methodology This prospective hospital-based study was conducted at Sree Balaji Medical College and Hospital, Chennai, from July 2023 to June 2024. A total of 100 high-risk antenatal women at 35-36 weeks of gestation were recruited through purposive sampling. Inclusion criteria were pregnancies complicated by GDM, anemia, hypertensive disorders, bronchial asthma, epilepsy, or cardiac conditions. Women with multiple pregnancies, fetal anomalies, or unwillingness to participate were excluded. After informed consent, detailed histories and anthropometric data were recorded, followed by ultrasonographic measurements of UCT, FFL, SPT, and EFW. Outcomes were followed up till delivery. Results Out of the total 100 participants, the majority of women were aged 31-35 years (44%) and primigravida (59%). High-risk conditions included GDM (65%), anemia (16%), and hypertensive disorders (9%). Macrosomia occurred in 49% cases, predominantly among overweight women (37/49, 75.5%), upper socioeconomic class (45/49, 92.3%), and GDM mothers (49/65, 75.4%) (all p<0.001). Male infants were more affected (28/49, 57.1%, p=0.034). UCT >90th percentile, FFL >5 mm, and SPT >12 mm were exclusively associated with macrosomia (all p<0.001). EFW >4.0 kg predicted macrosomia with 100% accuracy. Macrosomia was most frequent in <i>LSCS</i> deliveries (19/20, 95%). Conclusion Umbilical cord thickness, fetal fat layer, and shoulder pad thickness are reliable predictors of fetal macrosomia in high-risk pregnancies. GDM emerged as the strongest maternal risk factor. Incorporating these sonographic markers into routine third-trimester screening may improve early detection, optimize delivery planning, and reduce maternal and neonatal complications.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-09-21
DOI
https://doi.org/10.7759/cureus.92882
Primary Topic
Body Contouring and Surgery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Role of Ultrasonographic Measurements in Assessing Macrosomia Among the Fetuses of High-Risk Antenatal Women in a Tertiary Care Hospital

M Pavithra, S Nirupa, I Rajeswari
Cureus
Body Contouring and Surgery
article

Evaluating the Role of Ultrasonographic Measurements in Assessing Macrosomia Among the Fetuses of High-Risk Antenatal Women in a Tertiary Care Hospital

M Pavithra, S Nirupa, I Rajeswari
article en

Abstract

Background and objective Fetal macrosomia, defined as a birth weight >4.0 kg, is associated with serious maternal and neonatal complications such as prolonged labor, cesarean delivery, postpartum hemorrhage, birth trauma, and long-term metabolic risks. Maternal factors, particularly gestational diabetes mellitus (GDM), excessive weight gain, and certain comorbidities, increase the risk of macrosomia. Early detection in high-risk pregnancies is crucial to guide clinical management and improve outcomes. Conventional sonographic estimated fetal weight (EFW) provides important information but may lack accuracy. Novel markers such as umbilical cord thickness (UCT), fetal fat layer (FFL), and shoulder pad thickness (SPT) have shown potential predictive value. This study aimed to evaluate the accuracy of these sonographic parameters in predicting fetal macrosomia among high-risk pregnancies in a tertiary care setting. Methodology This prospective hospital-based study was conducted at Sree Balaji Medical College and Hospital, Chennai, from July 2023 to June 2024. A total of 100 high-risk antenatal women at 35-36 weeks of gestation were recruited through purposive sampling. Inclusion criteria were pregnancies complicated by GDM, anemia, hypertensive disorders, bronchial asthma, epilepsy, or cardiac conditions. Women with multiple pregnancies, fetal anomalies, or unwillingness to participate were excluded. After informed consent, detailed histories and anthropometric data were recorded, followed by ultrasonographic measurements of UCT, FFL, SPT, and EFW. Outcomes were followed up till delivery. Results Out of the total 100 participants, the majority of women were aged 31-35 years (44%) and primigravida (59%). High-risk conditions included GDM (65%), anemia (16%), and hypertensive disorders (9%). Macrosomia occurred in 49% cases, predominantly among overweight women (37/49, 75.5%), upper socioeconomic class (45/49, 92.3%), and GDM mothers (49/65, 75.4%) (all p<0.001). Male infants were more affected (28/49, 57.1%, p=0.034). UCT >90th percentile, FFL >5 mm, and SPT >12 mm were exclusively associated with macrosomia (all p<0.001). EFW >4.0 kg predicted macrosomia with 100% accuracy. Macrosomia was most frequent in <i>LSCS</i> deliveries (19/20, 95%). Conclusion Umbilical cord thickness, fetal fat layer, and shoulder pad thickness are reliable predictors of fetal macrosomia in high-risk pregnancies. GDM emerged as the strongest maternal risk factor. Incorporating these sonographic markers into routine third-trimester screening may improve early detection, optimize delivery planning, and reduce maternal and neonatal complications.

CureusVol. 17(9)
Sree Balaji Dental College and Hospital (IN)
Openalex Percentile: Top 59%
Body Contouring and Surgery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.