Early outcome-prediction with an automated EEG background trend in hypothermia-treated newborns with encephalopathy.

Journal: Pediatric research
Published Date: Jun 16, 2025

Abstract

BACKGROUND: Therapeutic hypothermia is an intervention that improves outcomes and alters early outcome-prediction in infants with moderate-severe hypoxic-ischemic encephalopathy (HIE). This study evaluated the early predictive accuracy of a fully automated continuous EEG background trend, Brain State of the Newborn (BSN) in a regional Swedish cohort of infants with presumed HIE.

Authors

  • Karla Gonzalez-Tamez
    Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden. karla.gonzalez@uu.se.
  • Saeed Montazeri
    Departments of Clinical Neurophysiology and Physiology, University of Helsinki, Helsinki, Finland.
  • Johan Ågren
    Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Sampsa Vanhatalo
    1 BABA Center, Children's Hospital, HUS Medical Imaging Center, Clinical Neurophysiology, University of Helsinki, Helsinki University Hospital and University of Helsinki, Finland.
  • Lena Hellström-Westas
    Department of Women's and Children's Health, Uppsala University, Sweden.

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