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Screening for gestational diabetes: different cut-offs for different ethnicities?
Tania F Esakoff1, Yvonne W Cheng, Aaron B Caughey
1Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA 94143, USA. esakofft@obgyn.ucsf.edu
American Journal of Obstetrics and Gynecology
|September 15, 2005
Summary
Screening guidelines for gestational diabetes may need ethnic-specific thresholds for the glucose-loading test to improve accuracy. Varying cut-offs can enhance sensitivity and reduce false positives in diverse populations.
Area of Science:
- Obstetrics and Gynecology
- Endocrinology
- Public Health
Background:
- Gestational diabetes mellitus (GDM) screening is crucial for maternal and fetal health.
- Current GDM screening guidelines may not account for ethnic variations in glucose metabolism.
Purpose of the Study:
- To investigate if gestational diabetes screening guidelines should be ethnicity-dependent.
- To compare the diagnostic performance of the glucose-loading test across different ethnic groups.
Main Methods:
- Retrospective cohort study of 14,565 pregnancies.
- Analyzed 50-g glucose-loading test (GLT) values and 100-g glucose tolerance test (GTT) results.
- Compared sensitivity, specificity, and predictive values of GLT cut-offs among White, African American, Latina, and Asian women.
Main Results:
- GLT sensitivity and specificity vary significantly by ethnicity.
- African Americans generally showed higher sensitivity and specificity.
- Recommended GLT thresholds for a 10% false-positive rate differed: 133 mg/dL (African Americans), 140 mg/dL (Whites), 143 mg/dL (Latinas), 147 mg/dL (Asians).
- Positive predictive values varied, with Asians highest at lower GLT values and African Americans highest at higher values. Whites consistently had the lowest positive predictive values.
Conclusions:
- Adjusting GLT thresholds by ethnicity could optimize GDM screening accuracy.
- Further research is needed to confirm if ethnicity-based threshold modifications improve perinatal outcomes.