Factors associated with non-arrest events triggering code blue alerts: a retrospective cohort study in a tertiary

Mohamad A Nashtar1, Patrick H Nekarda1, Michael Steckstor1

  • 1Ruhr University Bochum, Knappschaft Kliniken University Hospital Bochum, Department of Medicine, Bochum, Germany.

Insights

Over half of cardiopulmonary resuscitation (CPR) alerts are for non-arrest events (IHNA), often involving younger patients in non-clinical areas. These findings highlight the need for targeted training and awareness for IHNA situations.

Area of Science:

  • Emergency Medicine
  • Cardiology
  • Healthcare Operations

Background:

  • In-hospital non-arrest (IHNA) cardiopulmonary resuscitation (CPR) alerts consume significant resources but are poorly understood.
  • Characterizing IHNA events is crucial for optimizing resource allocation and patient care.

Purpose of the Study:

  • To quantify the burden of IHNA events.
  • To identify clinical and operational factors differentiating IHNA from true in-hospital cardiac arrests (IHCA).

Main Methods:

  • Retrospective cohort study of adult CPR-team alerts at a German tertiary center (2011-2015).
  • CPR-positive (CPR+) events defined as IHCA; CPR-negative (CPR-) events as IHNA.
  • Multivariable logistic regression with bootstrap validation analyzed factors associated with IHNA.

Main Results:

  • 53.5% of 288 CPR alerts were IHNA (CPR-), 46.5% were IHCA (CPR+).
  • IHNA patients were younger, predominantly female, and occurred more during morning shifts in non-clinical locations.
  • Older age, inpatient status, witnessed events, and ICU/telemetry locations reduced IHNA odds; morning shifts increased them (AUC 0.84).

Conclusions:

  • Over half of CPR alerts are IHNA, associated with younger patients, unwitnessed events, non-inpatient status, and non-clinical locations.
  • Findings identify high-risk contexts for IHNA, suggesting a need for targeted training and early assessment strategies.
  • Observational design necessitates cautious interpretation; prospective evaluation is needed for resource utilization impact.
Abstract

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