Prediction of risk for early or very early preterm births using high-resolution urinary metabolomic profiling

• Main Authors: Yaqi Zhang (Author), Karl G. Sylvester (Author), Ronald J. Wong (Author), Yair J. Blumenfeld (Author), Kuo Yuan Hwa (Author), C. James Chou (Author), Sheeno Thyparambil (Author), Weili Liao (Author), Zhi Han (Author), James Schilling (Author), Bo Jin (Author), Ivana Marić (Author), Nima Aghaeepour (Author), Martin S. Angst (Author), Brice Gaudilliere (Author), Virginia D. Winn (Author), Gary M. Shaw (Author), Lu Tian (Author), Ruben Y. Luo (Author), Gary L. Darmstadt (Author), Harvey J. Cohen (Author), David K. Stevenson (Author), Doff B. McElhinney (Author), Xuefeng B. Ling (Author)
• Format: Book
• Published: BMC, 2024-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Preterm birth (PTB) is a serious health problem. PTB complications is the main cause of death in infants under five years of age worldwide. The ability to accurately predict risk for PTB during early pregnancy would allow early monitoring and interventions to provide personalized...