Key result
An ultrasound gestational diabetes screening score of 4 provided 90.9% sensitivity and 89.6% specificity for predicting GDM, with immature placenta as the strongest predictor (RR 40.1; P<0.0001).
Why the study?
Does an ultrasound-based scoring system (UGDS) accurately diagnose gestational diabetes mellitus in women with singleton pregnancies and risk factors?
Observational (n=110)
Does an ultrasound-based scoring system (UGDS) accurately diagnose gestational diabetes mellitus in women with singleton pregnancies and risk factors?
Relative Risk: 40.1 (95% CI 5.9–271)
p-value: p=<0.0001
An ultrasound-based scoring system (UGDS) demonstrates high sensitivity and specificity for predicting gestational diabetes mellitus, offering a potential alternative or adjunct to traditional oral glucose tolerance testing.
May support UGDS for GDM risk stratification in high-risk pregnancies; leaves open prospective validation versus OGTT.
OBJECTIVE: To evaluate diagnostic accuracy and efficiency of ultrasound markers of gestational diabetes (GDM) and propose an ultrasound based scoring system suitable for screening (UGDS). METHODS: 110 women with singleton pregnancies and established maternal and/or pregnancy related risk factors for GDM were scanned at/or after 24 weeks gestation followed by administration of a 3 hour 100-gram oral glucose tolerance test (oGTT). A number of ultrasound markers were determined/measured, including fetal adipose subcutaneous tissue, asymmetrical macrosomy, cardiac circumference, cardiac width, and interventricular septum thickness, immature appearance of placenta, intensified breathing movements, polyhydramnios and placental thickness. Each ultrasound GDM marker was assigned one point to create the ultrasound gestational diabetes screening score (UGDS). RESULTS: All ultrasound GDM markers were positively correlated to the disease P < 0.0001. The strongest independent predictor of GDM was an immature appearance of placenta (RR 40.1 95% CI 5.9-271.0, P < 0.0001). Receiver operator characteristics (ROC) showed an area under the curve of 95.7% confirming good ability of UGDS to discriminate between positive and negative oGTT. We propose a UGDS score of 4 providing sensitivity of 90.9%, and specificity 89.6%. CONCLUSIONS: This study suggests that UGDS is a good predictor of GDM.
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Perović et al. (2011) conducted an observational in Gestational diabetes mellitus (n=110). Ultrasound gestational diabetes screening score (UGDS) vs. 100-gram oral glucose tolerance test (oGTT) was evaluated on Gestational diabetes mellitus (RR 40.1, 95% CI 5.9-271.0, p=<0.0001). An ultrasound gestational diabetes screening score of 4 provided 90.9% sensitivity and 89.6% specificity for predicting GDM, with immature placenta as the strongest predictor (RR 40.1; P<0.0001).
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