Hemodynamic Patterns Before Inhospital Cardiac Arrest in Critically Ill Children: An Exploratory Study

Ely Erez1, Mjaye L Mazwi2,3, Alexandra M Marquez2,3

  • 1Faculty of Medicine, Technion, Haifa, Israel.

Insights

Critically ill children show significant drops in cardiac output before cardiac arrest. Three distinct hemodynamic patterns were identified, suggesting potential for earlier detection using arterial blood pressure monitoring.

Area of Science:

  • Pediatric critical care medicine
  • Cardiovascular physiology
  • Clinical data analysis

Background:

  • In-hospital cardiac arrest (IHCA) in children is a critical event.
  • Understanding pre-arrest physiological changes is crucial for timely intervention.
  • Current detection methods may not capture subtle hemodynamic shifts.

Purpose of the Study:

  • To characterize the hemodynamic trajectories preceding IHCA in pediatric patients.
  • To identify distinct patterns of physiological deterioration before IHCA.
  • To explore the potential of arterial blood pressure waveform analysis for early IHCA detection.

Main Methods:

  • Retrospective analysis of arterial blood pressure and electrocardiogram waveforms.
  • Invasive blood pressure monitoring data from 27 children experiencing 31 IHCA events.
  • Assessment of cardiac output, systemic vascular resistance, stroke volume, and heart rate using established estimation methods.

Main Results:

  • All patients exhibited substantial pre-arrest declines in cardiac output (65-84% median decrease) within 10 minutes of IHCA.
  • Three distinct hemodynamic patterns were identified: subacute pulseless arrest (n=18), acute pulseless arrest (n=7), and bradycardic arrest (n=6).
  • Cardiac output decline was mainly due to decreased stroke volume in pulseless arrest groups and decreased heart rate in the bradycardic group.

Conclusions:

  • Critically ill children display unique physiological behaviors before IHCA, characterized by significant cardiac output reduction.
  • Distinct pre-arrest patterns with varying deterioration rates and contributing factors (heart rate vs. stroke volume) were observed.
  • Monitoring arterial blood pressure waveform-derived parameters may enhance early IHCA detection by several minutes.