Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

Journal: Diabetes technology & therapeutics
Published Date:

Abstract

OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm neonates based on continuous glucose monitoring (CGM).

Authors

  • Alfonso Galderisi
    1 Department of Pediatrics, Yale University, New Haven, Connecticut.
  • Luca Zammataro
    Lunan Foldomics LLC, Houston, TX, 77057, USA.
  • Eleonora Losiouk
    4 Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Giordano Lanzola
    4 Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Kristen Kraemer
    1 Department of Pediatrics, Yale University, New Haven, Connecticut.
  • Andrea Facchinetti
  • Beatrice Galeazzo
    2 Neonatal Intensive Care Unit, Department of Woman's and Child's Health, University of Padova, Padova, Italy.
  • Valentina Favero
    2 Neonatal Intensive Care Unit, Department of Woman's and Child's Health, University of Padova, Padova, Italy.
  • Eugenio Baraldi
    2 Neonatal Intensive Care Unit, Department of Woman's and Child's Health, University of Padova, Padova, Italy.
  • Claudio Cobelli
  • Daniele Trevisanuto
    2 Neonatal Intensive Care Unit, Department of Woman's and Child's Health, University of Padova, Padova, Italy.
  • Garry M Steil
    6 Harvard Medical School and Boston Children's Hospital, Division of Medicine Critical Care, Boston, Massachusetts.