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Back to the 31 October 2026 edition

Research · 02 of 05

A commercial sepsis alert missed most children with sepsis

Treat electronic sepsis alerts as a supplement, never a substitute, for bedside assessment of an unwell child.

Design
Retrospective multicentre diagnostic cohort
Population
166,943 paediatric ED encounters in 8 departments, New York
Primary outcome
Sensitivity and PPV for Phoenix-defined sepsis within 24 h
Effect
Sensitivity 36% (29–43%); PPV 3% (2–4%); under-fives 20%

This retrospective study evaluated a widely deployed electronic health record sepsis alert across eight emergency departments in one New York health system, covering 166,943 paediatric encounters from 2024 to 2025. Sepsis was defined by the Phoenix criteria.

There were 189 sepsis cases. The alert identified 36% of them, and only 30% before the child met sepsis criteria. Its positive predictive value was 3%, so 97% of alerts were false alarms. Sensitivity was lower in children under five (20%), in Black children (22%) and in departments outside tertiary children's hospitals (25%).

Automated alerts are attractive where staff are stretched, but this one would have missed two in three septic children while generating constant noise. Clinical assessment — vital signs against age norms, capillary refill, mental state, and parental concern — remains the screen.

  • Do not rely on an automated sepsis alert to identify septic children.
  • Check heart rate, respiratory rate and capillary refill against age-specific norms.
  • Take parental concern that a child is 'not themselves' seriously.
  • Be most alert in under-fives, where the tool performed worst.
  • Validate any electronic alert locally before trusting it.

Why it matters

A tool many hospitals assume is protecting them missed most cases.

Don't overread it

This evaluated one product in one US system; other tools and settings may perform differently.

The statistics, in plain English

Sensitivity of 36% means 64% of septic children triggered no alert. A positive predictive value of 3% means about 33 alerts fired for every true case. The negative predictive value above 99% reflects how rare sepsis is, not that a silent alert is reassuring.

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