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. 2017 Nov 23;7:16189. doi: 10.1038/s41598-017-15882-9

Table 2.

Proteomics and metabolomics models* in first trimester prediction of term preeclampsia.

Model Predictors AUC (95% CI) Sensitivity % (95% CI) Specificity % (95% CI)
Maternal factors Parity, MAP (12 wks), BMI (12 wks) 0.565 (0.442–0.688) 62.9% (62.9–78.9) 50.8% (38.4–63.1)
Metabolites Putrescine, Urea, Carnitine 0.701 (0.589–0.814) 72.7% (72.7–87.9) 57.4% (44.2–70.6)
Peptides TNF-α, RPL41, ATP5E, TBP 0.694 (0.578–0.811) 66.7% (66.7–82.8) 74.1% (62.4–85.8)
Metabolites + peptides TNF-α, RPL41, ATP5E, TBP, Putrescine, Urea, Carnitine 0.745 (0.638–0.852) 78.8% (78.8–92.7) 64.8% (52.1–77.6)

TBP: TATA box binding protein - associated factor; RPL41: 60S ribosomal protein L41; TNF-α: Tumor necrosis factor alpha (fragment); ATP5E: ATP synthase subunit epsilon; MAP: Mean arterial pressure; BMI: Body mass index.

*Based on logistic regression analysis, threshold values are presented in the supplementary information (Supplementary Table S6).