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)¥ | |
a
Logistic regression model adjusting for maternal age and race, study site, and gestational age (wks)
b
Model1– 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