Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms.

Journal: BMC pediatrics
Published Date: Mar 15, 2018

Abstract

BACKGROUND: Since early antimicrobial therapy is mandatory in septic patients, immediate diagnosis and distinction from non-infectious SIRS is essential but hampered by the similarity of symptoms between both entities. We aimed to develop a diagnostic model for differentiation of sepsis and non-infectious SIRS in critically ill children based on routinely available parameters (baseline characteristics, clinical/laboratory parameters, technical/medical support).

Authors

  • Florian Lamping
    Department of Epidemiology, Research Group Epidemiological and Statistical Methods (ESME), Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany.
  • Thomas Jack
    Department of Pediatric Cardiology and Intensive Care Medicine, Hannover Medical School.
  • Nicole Rübsamen
    Department of Epidemiology, Research Group Epidemiological and Statistical Methods (ESME), Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany.
  • Michael Sasse
    Department for Pediatric Cardiology and Intensive Care Medicine, Hannover Medical School, 30625, Hannover, Germany.
  • Philipp Beerbaum
    Department for Pediatric Cardiology and Intensive Care Medicine, Hannover Medical School, 30625, Hannover, Germany.
  • Rafael T Mikolajczyk
    Department of Epidemiology, Research Group Epidemiological and Statistical Methods (ESME), Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany.
  • Martin Boehne
    Department for Pediatric Cardiology and Intensive Care Medicine, Hannover Medical School, 30625, Hannover, Germany.
  • André Karch
    Department of Epidemiology, Research Group Epidemiological and Statistical Methods (ESME), Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany. karch@ymail.com.

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