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The utility of first trimester plasma glycated CD59 (pGCD59) in predicting gestational diabetes mellitus: A prospective study of non-diabetic pregnant women in Ireland

  • Delia Bogdanet
  • , Michelle Toth Castillo
  • , Helen Doheny
  • , Louise Dervan
  • , Miguel Angel Luque-Fernandez
  • , Jose Halperin
  • , Paula M. O'Shea
  • , Fidelma P. Dunne
  • University of Galway
  • Harvard Medical School
  • Galway University Hospital
  • Harvard School of Public Health
  • London School of Hygiene and Tropical Medicine

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

6 Citations (Scopus)

Abstract

Aims: To evaluate the ability of first trimester plasma glycated CD59 (pGCD59) to predict gestational diabetes mellitus (GDM) at 24–28 weeks of gestation. Methods: Prospectively, in 378 pregnant women, GDM was diagnosed using the one step 2 h 75 g oral glucose tolerance test adjudicated by the World Health Organisation (WHO) 2013 criteria. The ability of pGCD59 to predict GDM was assessed using receiver operating characteristic (ROC) curves adjusted for maternal age, body mass index (BMI), maternal ethnicity, parity, previous GDM, family history of diabetes mellitus and week of gestation at time of pGCD59 sampling. Results: pGCD59 generated an adjusted area under the curve (AUC) of (a) 0.63 (95 %CI:0.56–0.70, p < 0.001) for predicting GDM, and (b) 0.71 (95 %CI:0.62–0.79, p < 0.001 for GDM diagnosed with a fasting plasma glucose (FPG) ≥ 5.1 mmol/L. Sensitivity analysis of BMI subgroups showed that pGCD59 generated the highest AUC in the 35 kg/m2 ≤ BMI < 40 kg/m2 (AUC:0.85, 95 %CI:0.70–0.98) and BMI ≥ 40 kg/m2 (AUC:0.88, 95 %CI:0.63–0.99) categories. Conclusions: Early in pregnancy, pGCD59 may be a good predictor of GDM in women with a high BMI and a fair predictor of GDM diagnosed by an elevated FPG independent of BMI.

Original languageEnglish
Article number110023
JournalDiabetes Research and Clinical Practice
Volume190
DOIs
Publication statusPublished - Aug 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarker
  • Gestational diabetes mellitus
  • Prediction

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