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A First-Trimester Biomarker Panel for Predicting the Development of Gestational Diabetes

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Abstract

Objective: Serum markers measured early in pregnancy have been associated with the later diagnosis of gestational diabetes mellitus (GDM). This study aims to explore the performance of a panel of first-trimester biochemical markers for the prediction of GDM. Methods: A case-control study was performed that included 12 women who developed GDM and 60 controls matched for maternal and gestational age at blood collection. Levels of pregnancy-associated plasma protein A (PAPP-A), soluble endoglin, pregnancy protein 13, and adiponectin (Adipo) were measured on residual sera used in first-trimester screening for Down syndrome. Data were analyzed by nonparametric methods. A receiver operating characteristic curve was used to calculate the detection rate (DR) obtained with a panel of significant predictors for GDM. Results: Multiples of the median values for Adipo and PAPP-A were significantly reduced in GDM cases versus matched controls. Combination of Adipo and PAPP-A yielded a DR of 63.6% at a false-positive rate of 10%. Addition of body mass index (BMI) to this panel increased DR to 72.7%. Conclusion: This study suggests that first-trimester screening with Adipo, PAPP-A, and BMI may effectively identify women at high risk for the development of GDM.

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Correspondence to Antonio Farina MD, PhD.

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Farina, A., Eklund, E., Bernabini, D. et al. A First-Trimester Biomarker Panel for Predicting the Development of Gestational Diabetes. Reprod. Sci. 24, 954–959 (2017). https://doi.org/10.1177/1933719116675057

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