Glycated Albumin to Predict Adverse Neonatal Outcomes among Women with Diabetes and Overweight or Obese Body Mass Index.

Abstract

Background: Glycated albumin (GA) has shown promise in predicting risk of adverse neonatal outcomes (ANO) in pregnant women with type 2 diabetes (T2DM) and gestational diabetes (GDM). However, previous studies showing a negative correlation between GA and body mass index (BMI) suggest that lower predictive cutoffs may be needed in populations with elevated BMI.

Methods: We performed a case-control study of prospectively enrolled pregnant women with T2DM or GDM and BMI ≥25 kg/m2 matched to biobanked controls without diabetes. Serum collected during the second and/or third trimesters was used to measure the percentage of GA (% GA). Receiver operating characteristic (ROC) curves were used to examine % GA to predict an ANO composite, including macrosomia, hypoglycemia, respiratory distress syndrome, and/or hyperbilirubinemia for the second and third trimesters.

Results: The median BMIs for cases and controls were 34.0 and 31.0 kg/m2, respectively. The area under the ROC curve to predict the ANO composite was significant for second trimester values but ambiguous for third trimester due to its wide 95% CI. A cutoff of 12.3% GA during second trimester showed 100% sensitivity and 73% specificity. Transference of previously published reference ranges did not validate, suggesting lower ranges are needed for women with overweight/obesity.

Conclusions: In this pilot study, % GA shows promise to stratify pregnant patients with diabetes and obesity into risk categories for ANO with excellent predictive ability in the second trimester. If this holds in larger studies, using second trimester % GA could allow additional intervention to improve blood glucose control and minimize ANO.