• Weerakiet Sawaek
• Lertnarkorn Kanyarat
• Panburana Panyu
• Pitakitronakorn Somsri
• Vesathada Kanokwan
• Wansumrith Surapee

Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology

• Publish Date: Jul 2006
• ISSN: 0951-3590
• Volume: 22
• Issue: 7
• Pages: 362-8
• Medium: Print
• Language: English
• Citation (JAMA): Weerakiet Sawaek, Lertnarkorn Kanyarat, Panburana Panyu, et al. Can Adiponectin Predict Gestational Diabetes?. Gynecol. Endocrinol. Jul 2006;22:362-8

Abstract

The aim of the present study was to evaluate whether adiponectin is a predictive factor for gestational diabetes mellitus (GDM) and is appropriate as a screening test for GDM. Three-hundred and fifty-nine women with singleton pregnancy and indications for GDM screening according to criteria of the American College of Obstetricians and Gynecologists were enrolled in the study between July 5, 2004 and March 11, 2005. After confirming gestational age (GA) and number of fetuses by ultrasound, all women underwent a 1-h glucose challenge test with 50 g glucose load (50-g GCT) between 21 and 27 weeks of GA. Blood samples for determination of adiponectin levels were also obtained on the same day. Subsequently, between 24 and 28 weeks of GA, the women underwent an oral glucose tolerance test with 100 g glucose load (100-g OGTT). The diagnosis of GDM was established when two or more of the following criteria were fulfilled: (1) fasting glucose >95 mg/dl; (2) 1-h glucose >180 mg/dl; (3) 2-h glucose >155 mg/dl; (4) 3-h glucose >140 mg/dl. Sixty women were diagnosed with GDM, a prevalence of 16.7%. There was no difference in age between the GDM and non-GDM groups. Pre-pregnancy and sampling-day body mass index (BMI), increase in weight and all blood glucose levels were greater in women with GDM than in those without (p < 0.05). Adiponectin concentrations were significantly negatively correlated with GA and plasma glucose levels of the GCT and each OGTT. Using logistic regression analyses, adiponectin, but not age, pre-pregnancy BMI and increase in weight, was demonstrated as an independent predictive factor for GDM. The area under the receiver-operator characteristic curve of adiponectin was significantly lower than that of the GCT [0.63 (95% confidence interval (CI) 0.53-0.67) vs. 0.73 (95% CI 0.71-0.80), p < 0.001]. At a cut-off value of 140 mg/dl of the 50-g GCT, the sensitivity and specificity of the test were 90% and 61%, respectively. The 50-g GCT could identify GDM in 54 (90%) out of 60 women. On the other hand, at an arbitrary cut-off value of 10 microg/ml for adiponectin, sensitivity of 91% and specificity of 31% were achieved. If this cut-off value was used for ruling in or out pregnant women for the GDM screening, 27% of all women could be eliminated from needing to perform an OGTT, with five women (8.3%) misclassified. In conclusion, this study demonstrated that adiponectin was an independent predictor for GDM. As for GDM screening, adiponectin was not as strong a predictor as GCT. However, with advantage of being less cumbersome, adiponectin could be used to rule out pregnant women at low risk of GDM.

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