Table 2.

Summary of the metabolomic profiling analyses of early pregnancy samples based on four profiling platforms

Analysis		Metabolite features (n=8099)
Logistic regression modela	n (%) significant features
	p<0.05	484 (6.0%)
	p<0.01	72 (0.9%)
	p<0.001	2 (0.02%)
ROC analysisb	AUC Model 1 (95% CI)	0.573 (0.463, 0.682)
	AUC Model 2 (95% CI)	0.731 (0.624, 0.838)¥
	AUC Model 3 (95% CI)	0.752 (0.658, 0.846)¥
	AUC Model 4 (95% CI)	0.794 (0.700, 0.888)¥

^aLogistic regression model adjusting for maternal age and race, study site, and gestational age (wks)

^bModel1– mother’s age, race, site, and gestational age

Model2 – model1+ serum vitamin D at baseline (<30ng/ml or ≥30ng/ml)+ pre-pregnancy BMI

Model3 – model1+ Principal component1

Model4 – model1+ serum vitamin D at baseline (<30ng/ml or ge;30ng/ml) + pre-pregnancy BMI+ Principal component1

^¥Significantly (p<0.05) different to model 1

∞ Significantly (p<0.05) different to model 2

Ω Significantly (p<0.05) different to model 3

ROC; Receiver Operator Characteristic; AUC – Area Under the Curve; CI – Confidence Interval