Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid.

Journal: American journal of reproductive immunology (New York, N.Y. : 1989)
Published Date: Sep 1, 2021

Abstract

PROBLEM: Preterm birth (PTB) is a major cause of increased morbidity and mortality in newborns. The main cause of spontaneous PTB (sPTB) is the activation of an inflammatory response as a result of ascending genital tract infection. Despite various studies on the effects of the vaginal microbiome on PTB, a practical method for its clinical application has yet to be developed.

Authors

  • Sunwha Park
    Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea.
  • Daejoong Oh
    D&P Biotech, Inc, Seoul, Korea.
  • Hanna Heo
    Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea.
  • Gain Lee
    Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea.
  • Soo Min Kim
    Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea.
  • AbuZar Ansari
    Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea.
  • Young-Ah You
    Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea.
  • Yun Ji Jung
    Department of Obstetrics and Gynecology, College of Medicine, Yonsei University, Seoul, Korea.
  • Young-Han Kim
    Department of Obstetrics and Gynecology, College of Medicine, Yonsei University, Seoul, Korea.
  • Myunghoon Lee
    D&P Biotech, Inc, Seoul, Korea.
  • Young Ju Kim
    Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea.

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