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Screening for gestational diabetes by measuring fasting plasma glucose levels
Khalil E Rajab1, Jonathan H Skerman, Abdulla A Issa
1Department of Obstetrics and Gynaecology, Department of Anaesthesia and Intensive Care, Arabian Gulf University, College of Medicine and Medical Sciences, Salmaniya Medical Complex, P.O.Box 26752, Manama, Kingdom of Bahrain.
Fasting plasma glucose (FPG) is a sensitive and specific screening test for gestational diabetes mellitus (GDM). This easier, more acceptable test allows many women to avoid the oral glucose tolerance test (oGTT).
Area of Science:
- Endocrinology
- Obstetrics
- Clinical Chemistry
Background:
- Gestational diabetes mellitus (GDM) poses risks to both mother and fetus.
- Accurate and efficient screening methods for GDM are crucial in prenatal care.
- Current screening often involves multiple tests, which can be burdensome for patients.
Purpose of the Study:
- To evaluate the diagnostic accuracy of fasting plasma glucose (FPG) levels for GDM screening.
- To compare the effectiveness of FPG screening against the one-hour glucose challenge test (GCT) for GDM prediction.
Main Methods:
- 1600 pregnant women were screened using the GCT and FPG tests during 26-32 weeks gestation.
- Diagnostic oral glucose tolerance tests (oGTT) were performed on all participants.
- Receiver-operating characteristic (ROC) curves were utilized to determine optimal cutoff values for FPG and oGTT.
Main Results:
- An FPG cutoff of ≥ 5.5 mmol/L demonstrated high sensitivity (94%) and specificity (93%) for GDM.
- FPG screening required a diagnostic oGTT in 32% of cases, compared to 13% with GCT.
- The GCT identified a GDM incidence of 13.5% using established cutoff values.
Conclusions:
- Fasting plasma glucose (FPG) at a cutoff of ≥ 5.5 mmol/L is a highly sensitive and specific screening tool for GDM.
- FPG offers a simpler, more patient-acceptable, and cost-effective alternative to the GCT.
- Implementing FPG screening can significantly reduce the need for diagnostic oGTTs, improving patient compliance and healthcare efficiency.
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