Early detection of ICU-acquired infections using high-frequency electronic health record data.

Journal: BMC medical informatics and decision making
Published Date: Jul 21, 2025

Abstract

BACKGROUND: Nosocomial infections are a major cause of morbidity and mortality in the ICU. Earlier identification of these complications may facilitate better clinical management and improve outcomes. We developed a dynamic prediction model that leveraged high-frequency longitudinal data to estimate infection risk 48 h ahead of clinically overt deterioration.

Authors

  • Meri R J Varkila
    Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
  • Giacomo Lancia
    Department of Mathematics, University Utrecht, Utrecht, Netherlands.
  • Maarten van Smeden
    Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Marc J M Bonten
    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
  • Cristian Spitoni
    Department of Mathematics, University Utrecht, Utrecht, Netherlands.
  • Olaf L Cremer
    Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.

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