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Comparison of the performance of a clinical classification tree versus clinical gestalt in predicting sepsis with extended-spectrum beta-lactamase-producing gram-negative rods.

Hayden L SmithMohamed A ElfekiDana LowryRebecca SabatesMolly RopteKatherine R SittigStephanie FinchKristina BraunWilliam PruettAaron WassonKenna FischmanJennifer M PetersonRossana M Rosa
Published in: Antimicrobial stewardship & healthcare epidemiology : ASHE (2022)
A clinical decision tree was developed using point-of-care characteristics to identify patients with culture-proven sepsis due to extended-spectrum β-lactamase-producing Enterobacterales (ESBL-PE). We compared its performance with the clinical gestalt of emergency department (ED) clinicians and hospital-based clinicians. The developed tree outperformed ED-based clinicians but was comparable to inpatient-based clinicians.
Keyphrases
  • emergency department
  • palliative care
  • gram negative
  • intensive care unit
  • machine learning
  • septic shock
  • decision making
  • acute care