Association between gestational diabetes and biomarkers : a role in diagnosis

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Authors

Adam, Sumaiya
Pheiffer, Carmen
Dias, Stephanie Charmaine
Rheeder, Paul

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Taylor and Francis

Abstract

BACKGROUND : We investigated the association between markers of insulin resistance, chronic inflammation, and adipokines and GDM. METHODS : In our case-cohort study in Johannesburg we included women with GDM and controls. We tested the ability of biomarkers to identify women at high risk of GDM. RESULTS : Of the 262 pregnant women, 83 (31.7%) had GDM. Women with GDM were heavier (p = 0.04) and had more clinical risk factors (p = 0.008). We found a significant difference in fasting insulin (p < 0.001), adiponectin (p = 0.046), HOMA (p < 0.001) and QUICKI (p < 0.001). HOMA (AUROC = 0.82) or QUICKI (AUROC = 0.82) improved the ability of risk factors to identify women at high risk of GDM. CONCLUSIONS : Insulin sensitivity markers are promising tools to identify women at high risk of GDM.

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Keywords

Protein, Pregnancy, Adiponectin, Women, Type 2 diabetes mellitus (T2DM), Insulin sensitivity, Biomarkers, Gestational diabetes (GDM)

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Citation

Adam, S., Pheiffer, C., Dias, S. et al. 2018, 'Association between gestational diabetes and biomarkers : a role in diagnosis', Biomarkers, vol. 23, no. 4, pp. 386-391.