Low Inadequate Oxygen Delivery Index is Associated with Decreased Cardiac Arrest Risk in High-Risk Pediatric ICU

Maya Dewan1,2,3,4, David S Cooper1,5, Ken Tegtmeyer1,2

  • 1Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH.

Insights

Clinician concern combined with the Inadequate Oxygen Delivery Index (IDO2) can help identify high-risk pediatric intensive care unit patients. This approach improves system efficiency by reducing the number of patients needing evaluation for clinical deterioration.

Area of Science:

  • Pediatric critical care medicine
  • Physiological monitoring
  • Clinical decision support systems

Background:

  • Identifying high-risk patients in the Pediatric Intensive Care Unit (PICU) is crucial for timely intervention.
  • Clinician concern is a primary method for escalating patient care.
  • Existing methods may lack precision in predicting critical events.

Purpose of the Study:

  • To evaluate the Inadequate Oxygen Delivery Index (IDO2) as a tool to identify high-risk PICU patients.
  • To determine if IDO2 can refine predictions made by clinician concern.
  • To assess the impact of IDO2 on the efficiency of clinical deterioration detection.

Main Methods:

  • Prospective observational cohort study in a single PICU (February 2017 - May 2020).
  • Collected mean calculated IDO2 in 12-hour increments for 3,087 patients.
  • Analyzed data for clinical deterioration and cardiopulmonary resuscitation (CPR) events during 'watcher periods'.

Main Results:

  • Over 24,505 periods, 224 clinical deterioration events occurred, with 48 being CPR events.
  • Adding a mean IDO2 threshold (<5) during pre-watcher periods reduced the number needed to evaluate for deterioration from 43 to 38.
  • The addition of IDO2 did not alter the prediction of CPR events but improved efficiency for other deteriorations.

Conclusions:

  • Physiologic monitor data, like IDO2, can enhance clinician-activated situation awareness systems.
  • Integrating IDO2 can decrease the number needed to alert, improving overall system efficiency.
  • This approach supports more targeted and efficient patient monitoring in the PICU.
Abstract

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