Abstract

To investigate whether area under the curve (AUC) of oral glucose tolerance test (OGTT) could work as a predictor of outcomes of gestational diabetes mellitus (GDM) on condition that blood glucose is controlled. A total of 1 796 women who had a standard antenatal care in Peking University First Hospital and gave single live births from July 1, 2011 to December 31, 2 013 were included. They should be diagnosed of GDM by the diagnosis criteria of gestational diabetes published by the Ministry of Health of PRC and diabetes pre-pregnancy excluded. Data were analyzed with SPSS 17.0, grouping by AUC. (1) Women with higher AUC had a rising trend of age and a downward trend of gestational weight gain, however, not statistically significant [specifically, in the four group of less than 15.00 mmol · L⁻¹ · h⁻¹, 15.00 to 16.79 mmol · L⁻¹ · h⁻¹, 16.80 to 17.99 mmol · L⁻¹ · h⁻¹ and 18.00 mmol · L⁻¹ · h⁻¹ or more, gestational weight gain was (15.3 ± 5.2), (14.1 ± 4.8), (13.5 ± 4.7) and (13.1 ± 4.8) kg]. The prevalence of macrosomia raised while AUC increased. Those with an AUC of lower than 15.00 (mmol · L⁻¹ · h⁻¹) had a lower risk of macrosomia (P = 0.04). But those with an AUC of 18.00 (mmol · L⁻¹ · h⁻¹) or more had a higher risk of macrosomia (P = 0.02). There was a rising trend in premature birth and preeclampsia with AUC increasing but not significant (the prevalence of premature birth was 4.38%, 5.36%, 7.71% and 7.94% while that of preeclampsia was 2.85%, 4.69%, 4.67% and 5.08% in these four groups). (2) The prevalence of macrosomia was 12.76% (54/423) when overweight pre-pregnancy, significantly higher compared with 5.87% (65/1 107) in normal group. The prevalence of preeclampsia was 5.91% (25/423) and 3.34% (37/1 107) in those two groups, which was also significantly different. The obese group had a statistically highest prevalence of preeclampsia of 9.23% (12/130). (3) AUC (P < 0.05, OR = 1.113, 95% CI: 1.008-1.218), as well as gestational weight gain (P < 0.05, OR = 1.520, 95% CI: 1.279-1.806) and pre-pregnancy BMI (P < 0.05, OR = 1.183, 95% CI: 1.125-1.243) made a difference in the prevalence of macrosomia. Meanwhile, pre-pregnancy BMI made sense in the prevalence of premature labor (P < 0.05, OR = 1.059, 95% CI: 1.003-1.119) and preeclampsia (P < 0.01, OR = 1.202, 95% CI: 1.123-1.286). AUC, as well as pre-pregnancy BMI and gestational weight gain have a significant impact on outcomes of GDM, macrosomia especially, though blood glucose is controlled. Meanwhile, AUC might be considered as a predictor of macrosomia.

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