Literature DB >> 8546639

Using glucose tolerance test results to predict insulin requirement in women with gestational diabetes.

Y Y Tan1, P C Liauw, G S Yeo.   

Abstract

This study was done to test the clinical impression that the result of the oral glucose tolerance test could be used to predict which patients with gestational diabetes did not need insulin therapy. If this was true, a full blood sugar profile assessment could be avoided in many of these women. The second analysis was to test the clinical impression that the fasting glucose level was the best predictor of insulin requirement in women with gestational diabetes. The results of the study showed that none of the 3 readings of the oral glucose tolerance test could be used to predict reliably which patients did not need insulin therapy. Hence, blood sugar profile assessment of all patients with gestational diabetes is still necessary. The receiver-operator characteristic curves also showed that the 2-hour postload glucose level during the 75 g load glucose tolerance test was a better predictor of insulin requirement than the fasting glucose level.

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Year:  1995        PMID: 8546639     DOI: 10.1111/j.1479-828x.1995.tb01977.x

Source DB:  PubMed          Journal:  Aust N Z J Obstet Gynaecol        ISSN: 0004-8666            Impact factor:   2.100


  3 in total

1.  A novel validated model for the prediction of insulin therapy initiation and adverse perinatal outcomes in women with gestational diabetes mellitus.

Authors:  Robyn A Barnes; Tang Wong; Glynis P Ross; Bin B Jalaludin; Vincent W Wong; Carmel E Smart; Clare E Collins; Lesley MacDonald-Wicks; Jeff R Flack
Journal:  Diabetologia       Date:  2016-07-08       Impact factor: 10.122

2.  Gestational Diabetes Mellitus (GDM): Relationship Between Higher Cutoff Values for 100 g Oral Glucose Tolerance Test (OGTT) and Insulin Requirement During Pregnancy.

Authors:  Jessica Ares; Alicia Martín-Nieto; Lucía Díaz-Naya; Teresa Tartón; Teresa Menéndez-Prada; Cecilia S Ragnarsson; Elías Delgado-Álvarez; Edelmiro Menéndez-Torre
Journal:  Matern Child Health J       Date:  2017-07

3.  Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study.

Authors:  Lauren D Liao; Assiamira Ferrara; Mara B Greenberg; Amanda L Ngo; Juanran Feng; Zhenhua Zhang; Patrick T Bradshaw; Alan E Hubbard; Yeyi Zhu
Journal:  BMC Med       Date:  2022-09-15       Impact factor: 11.150

  3 in total

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