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Updated: Jun 5, 2026

Characterization of Metabolic Status in Nonhuman Primates with the Intravenous Glucose Tolerance Test
Published on: November 13, 2016
Clinical indications for abnormal early gestational 50-g glucose tolerance testing
Amber Samuel1, Hyagriv N Simhan
1Department of Obstetrics, Gynecology and Reproductive Sciences, Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pennsylvania.ambersamuelmd@gmail.com
Screening for gestational diabetes mellitus (GDM) with an early glucose tolerance test (GTT) shows varying abnormal rates based on risk factors. Multifetal gestation and prior GDM history had higher abnormal rates than obesity.
Area of Science:
- Obstetrics and Gynecology
- Endocrinology
- Public Health
Background:
- Gestational diabetes mellitus (GDM) screening is sometimes performed early in pregnancy for high-risk women.
- The indications for early glucose tolerance testing (GTT) and their association with abnormal results are not well-defined.
Purpose of the Study:
- To analyze the frequency of abnormal early GTT results based on specific indications for testing.
- To inform resource allocation for GDM screening strategies.
Main Methods:
- Retrospective cohort study of 305 women undergoing early GTT (before 24 weeks gestation) between 2003-2006.
- Data collected on indications for testing: obesity, family history of diabetes, prior GDM, multifetal gestation.
- Analysis of abnormal GTT frequencies across different indications.
Main Results:
- Common indications for early GTT included obesity (53%), family history of diabetes (15%), prior GDM (10%), and multifetal gestation (5%).
- Higher frequencies of abnormal early GTT were observed in women with multifetal gestations and a personal history of GDM compared to those screened for obesity.
- The overall frequency of abnormal early GTT varied significantly by the indication for testing.
Conclusions:
- The diagnostic yield of early GTT for GDM differs substantially depending on the patient's risk factors.
- These findings support tailored approaches to early GDM screening and potential optimization of healthcare resource allocation.
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