OBJECTIVE: To investigate whether area under the curve (AUC) of oral @entity413 tolerance test (OGTT) could work as a predictor of outcomes of @entity6 ( @entity6 ) on condition that blood @entity413 is controlled. METHODS: A total of 1 796 @entity1 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 @entity6 by the diagnosis criteria of gestational @entity6 published by the Ministry of Health of PRC and @entity6 pre-pregnancy excluded. Data were analyzed with SPSS 17.0, grouping by AUC. RESULTS: (1) @entity1 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 @entity8455 raised while AUC increased. Those with an AUC of lower than 15.00 (mmol    L(-1)    h(-1)) had a lower risk of @entity8455 (P = 0.04). But those with an AUC of 18.00 (mmol    L(-1)    h(-1)) or more had a higher risk of @entity8455 (P = 0.02). There was a rising trend in @entity600 and @entity1468 with AUC increasing but not significant (the prevalence of @entity600 was 4.38%, 5.36%, 7.71% and 7.94% while that of @entity1468 was 2.85%, 4.69%, 4.67% and 5.08% in these four groups). (2) The prevalence of @entity8455 was 12.76% (54/423) when overweight pre-pregnancy, significantly higher compared with 5.87% (65/1 107) in normal group. The prevalence of @entity1468 was 5.91% (25/423) and 3.34% (37/1 107) in those two groups, which was also significantly different. The @entity28 group had a statistically highest prevalence of @entity1468 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 @entity8455 . Meanwhile, pre-pregnancy BMI made sense in the prevalence of @entity3152 (P < 0.05, OR = 1.059, 95% CI: 1.003-1.119) and @entity1468 (P < 0.01, OR = 1.202, 95% CI: 1.123-1.286). CONCLUSIONS: AUC, as well as pre-pregnancy BMI and gestational weight gain have a significant impact on outcomes of @entity6 , @entity8455 especially, though blood @entity413 is controlled. Meanwhile, AUC might be considered as a predictor of @entity8455 .

[Impact of area under the curve of oral @entity413 tolerance test on pregnant @entity1 with XXXX ].

@entity1 :: ('9606', 'Species') :: ['women', 'Women'] @entity3152 :: ('MESH:D007752', 'Disease') :: ['premature labor'] @entity6 :: ('MESH:D003920', 'Disease') :: ['gestational diabetes mellitus', 'diabetes', 'GDM'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obese'] @entity600 :: ('MESH:D000014', 'Disease') :: ['premature birth'] @entity1468 :: ('MESH:D011225', 'Disease') :: ['preeclampsia'] @entity8455 :: ('MESH:D005320', 'Disease') :: ['macrosomia'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose']
@entity6 :: (MESH:D003920,Disease) :: ['gestational diabetes mellitus']
