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

Nancy McBridePaul YousefiSara L WhiteLucilla PostonDiane FarrarNaveed SattarScott M NelsonJohn WrightDan MasonMatthew SudermanCaroline ReltonDeborah A Lawlor
Published in: BMC medicine (2020)
Our results suggest a combined risk factor and metabolite model improves prediction of GDM, HDP and LGA, and SGA, when compared to risk factors alone. They also highlight the difficulty of predicting PTB, with all models performing poorly.
Keyphrases
  • risk factors
  • magnetic resonance
  • mass spectrometry
  • high resolution
  • preterm birth
  • contrast enhanced
  • cross sectional
  • solid state
  • pregnant women