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Termination of Resuscitation Rules for In-Hospital Cardiac Arrest
Mathias J Holmberg1,2, Asger Granfeldt1,2, Ari Moskowitz3
1Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
JAMA Internal Medicine
|January 27, 2025
Summary
Validated rules for terminating resuscitation during in-hospital cardiac arrest were developed. The best rule uses four factors and has a low false-positive rate, aiding clinical decisions.
Area of Science:
- Cardiology
- Emergency Medicine
- Clinical Prognostics
Background:
- No validated decision rules exist for terminating resuscitation in in-hospital cardiac arrest.
- Existing practices may lead to inappropriate early termination or prolonged, futile resuscitation efforts.
Purpose of the Study:
- To develop and validate clinical decision rules for the termination of resuscitation in adult patients experiencing in-hospital cardiac arrest.
- To identify factors that accurately predict outcomes and guide resuscitation termination decisions.
Main Methods:
- A prognostic study utilizing national cardiac arrest registries from Denmark, Sweden, and Norway.
- Development and validation of termination of resuscitation rules using six bedside-available variables: age, initial rhythm, witnessed status, monitored status, ICU location, and resuscitation duration.
- Rules were selected based on a false-positive rate <1% and a positive rate >10%.
Main Results:
- Five termination of resuscitation rules were identified as clinically relevant from over 53,000 possible combinations.
- The optimal rule incorporated: unwitnessed arrest, unmonitored status, asystole as the initial rhythm, and a resuscitation duration ≥10 minutes.
- This rule had a positive rate of 11% (110/1000) and a false-positive rate of 0.6% (6/1000), indicating accurate prediction of non-survival across all national cohorts.
Conclusions:
- Developed and validated termination of resuscitation rules provide objective guidance for in-hospital cardiac arrest scenarios.
- The best-performing rule demonstrates a low false-positive rate and a reasonable positive rate, supporting its clinical utility.
- These rules have the potential to improve decision-making at the bedside, optimizing patient care and resource allocation.

