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Table 2 Number of predictors retained in each model developed and tested in Born in Bradford from total possible (n (%)). Percentages are rounded to the nearest whole number

From: Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation

Outcome

Model (retained predictors/total number of variables possible [%])

Gestational diabetes mellitus

Risk factor (5/5 [100%])

Metabolite (140/156 [90%])

Combined (152/161 [94%])

Hypertensive disorder of pregnancy

Risk factor (4/5 [80%])

Metabolite (50/156 [32%])

Combined (38/161 [24%])

Small for gestational age

Risk factor (4/5 [80%])

Metabolite (86/156 [55%])

Combined (101/161 [63%])

Large for gestational age

Risk factor (4/5 [80%])

Metabolite (65/156 [42%])

Combined (56/161 [35%])

Preterm birth

Risk factor (4/5 [80%])

Metabolite (19/156 [12%])

Combined (18/161 [11%])