Postpartum dysglycaemia after early gestational diabetes: Follow-up of women in the TOBOGM randomised controlled trial

Date

2024

Authors

Cheung, N.W.
Rhou, Y.J.J.
Immanuel, J.
Hague, W.M.
Teede, H.
Nolan, C.J.
Peek, M.J.
Flack, J.R.
McLean, M.
Wong, V.W.

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Journal article

Citation

Diabetes Research and Clinical Practice, 2024; 218:111929-1-111929-6

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N. Wah Cheung, Yoon J.J. Rhou, Jincy Immanuel, William M. Hague, Helena Teede, Christopher J. Nolan, Michael J. Peek, Jeff R. Flack, Mark McLean, Vincent W. Wong, Emily J. Hibbert, Alexandra Kautzky-Willer, Jürgen Harreiter, Helena Backman, Emily Gianatti, Arianne Sweeting, Vishwanathan Mohan, David Simmons

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Abstract

Aim: To evaluate the incidence and predictors of postpartum dysglycaemia among high-risk women who develop early gestational diabetes (eGDM) prior to 20 weeks’ gestation. Methods: This is a sub-study of the Treatment of Booking Gestational Diabetes (TOBOGM) Study, a randomised controlled trial of early or deferred treatment for women with risk factors for gestational diabetes diagnosed with eGDM, using current WHO criteria. Overt diabetes in pregnancy was excluded. A repeat oral glucose tolerance test (oGTT) was recommended at 6–12 weeks postpartum. Results: Of 793 participants, 352 (44.4%) underwent a postpartum oGTT. Baseline characteristics of participants with and without an oGTT were similar. Ninety-two (26.1%) had postpartum dysglycaemia: 11 (3.1%) diabetes, 31 (8.8%) impaired fasting glucose (IFG), 39 (11.1%) impaired glucose tolerance (IGT), and 11 (3.1%) combined IFG/IGT. Participants with postpartum dysglycaemia were more likely to have had past GDM, lower body mass index, more gestational weight gain, and higher 1 and 2-hour glucose concentrations on the early pregnancy oGTT. On logistic regression, higher 1 and 2-hour glucose concentration, previous GDM and greater gestational weight gain were independently associated with postpartum dysglycaemia. Conclusion: There is a high incidence of postpartum dysglycaemia among high-risk women with eGDM.

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© 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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