Evidence map›Paper›PMID 40525053›Full record

ArticleCureus2025

Prospective Study on Sonographic Measurement of Umbilical Cord Thickness, Fetal Fat Layer, and Interventricular Septal Thickness as Predictors of Macrosomia in Fetuses of Women With Gestational Diabetes Mellitus.

Dirisala Anudeep, Shivanand Pati, Siddaroodha Sajjan, Divyashree Koppal, Pavan Kolekar

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dirisala AnudeepRadiodiagnosis, Shri B. M. Patil Medical College, Hospital and Research Centre, Bijapur Liberal District Educational (BLDE) Association (Deemed to Be University), Vijayapura, IND.
Shivanand PatiRadiodiagnosis, Shri B. M. Patil Medical College, Hospital and Research Centre, Bijapur Liberal District Educational (BLDE) Association (Deemed to Be University), Vijayapura, IND.
Siddaroodha SajjanRadiodiagnosis, Shri B. M. Patil Medical College, Hospital and Research Centre, Bijapur Liberal District Educational (BLDE) Association (Deemed to Be University), Vijayapura, IND.
Divyashree KoppalRadiodiagnosis, Shri B. M. Patil Medical College, Hospital and Research Centre, Bijapur Liberal District Educational (BLDE) Association (Deemed to Be University), Vijayapura, IND.
Pavan KolekarRadiodiagnosis, Shri B. M. Patil Medical College, Hospital and Research Centre, Bijapur Liberal District Educational (BLDE) Association (Deemed to Be University), Vijayapura, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFetal macrosomia is a common and concerning complication of gestational diabetes mellitus (GDM), associated with increased risks for both maternal and neonatal morbidity. Traditional methods of predicting macrosomia often lack precision, particularly in diabetic pregnancies. This study aimed to evaluate the efficacy of three sonographic parameters, umbilical cord thickness (UCT), fetal fat layer (FFL), and interventricular septal thickness (IVS), as predictors of fetal macrosomia in women with GDM. MATERIALS AND

methodsThis prospective study included 123 pregnant women with GDM between 34 and 40 weeks of gestation. Comprehensive maternal data, including body mass index (BMI) and glycemic parameters (fasting blood sugar (FBS), postprandial blood sugar (PPBS), and glycated hemoglobin (HbA1c)), were recorded. Sonographic measurements of UCT, FFL, and IVS were performed and analyzed for their association with birth outcomes. Macrosomia was defined as a birth weight greater than 4000 g.

resultsMacrosomia occurred in 62.6% of pregnancies, with strong associations with maternal BMI (p<0.001) and HbA1c levels (p<0.001). Sonographic parameters showed significant correlations with birth weight: UCT (r=0.792, p<0.001), FFL (r=0.34, p<0.001), and IVS (r=0.295, p=0.001). A UCT ≥25 mm demonstrated excellent sensitivity (93.3%) and specificity (85.4%) for predicting macrosomia. FFL ≥4.5 mm showed high specificity (93.3%) and positive predictive value (PPV) (97.3%), while IVS ≥3.9 mm exhibited good specificity (85%) but lower sensitivity (71.8%). Despite the high prevalence of macrosomia, 88.6% of deliveries were uncomplicated, though the cesarean section rate was high (64.2%).

conclusionSonographic measurements of UCT, FFL, and IVS are valuable predictors of fetal macrosomia in GDM pregnancies. UCT, in particular, demonstrated the strongest correlation with birth weight and superior diagnostic accuracy. The integration of these sonographic parameters with maternal factors can enhance the accuracy of macrosomia prediction, potentially improving clinical decision-making and optimizing maternal and neonatal outcomes.

Indexed as

fetal fat layerfetal macrosomiagestational diabetes mellitusinterventricular septal thicknesspregnancy complicationssonographyumbilical cord thickness

Identifiers

PMID40525053
PMCPMC12168813

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.