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Electrical and mechanical recovery of cardiac function following out-of-hospital cardiac arrest
Authors:Daniel P. Davis  Rebecca E. Sell  Nathan Wilkes  Renee Sarno  Ruchika D. Husa  Edward M. Castillo  Brenna Lawrence  Roger Fisher  Criss Brainard  James V. Dunford
Affiliation:1. Division of Emergency Medicine, Department of Medicine, UC San Diego, San Diego, CA, United States;2. Division of Pulmonary and Critical Care Medicine, Department of Medicine, UC San Diego, San Diego, CA, United States;3. Division of Cardiology, Department of Medicine, UC San Diego, San Diego, CA, United States;4. San Diego Medical Services Enterprise, United States
Abstract:

Background

Compression pauses may be particularly harmful following the electrical recovery but prior to the mechanical recovery from cardiopulmonary arrest.

Methods and results

A convenience sample of patients with out-of-hospital cardiac arrest (OOHCA) were identified. Data were exported from defibrillators to define compression pauses, electrocardiogram rhythm, PetCO2, and the presence of palpable pulses. Pulse-check episodes were randomly assigned to a derivation set (one-third) and a validation set (two-thirds). Both an unweighted and a weighted receiver–operator curve (ROC) analysis were performed on the derivation set to identify optimal thresholds to predict ROSC using heart rate and PetCO2. A sequential decision guideline was generated to predict the presence of ROSC during compressions and confirm perfusion once compressions were stopped. The ability of this decision guideline to correctly identify pauses in which pulses were and were not palpated was then evaluated. A total of 145 patients with 349 compression pauses were included. The ROC analyses on the derivation set identified an optimal pre-pause heart rate threshold of > 40 beats min−1 and an optimal PetCO2 threshold of >20 mmHg to predict ROSC. A sequential decision guideline was developed using pre-pause heart rate and PetCO2 as well as the PetCO2 pattern during compression pauses to predict and rapidly confirm ROSC. This decision guideline demonstrated excellent predictive ability to identifying compression pauses with and without palpable pulses (positive predictive value 95%, negative predictive value 99%). The mean latency period between recovery of electrical and mechanical cardiac function was 78 s (95% CI 36–120 s).

Conclusions

Heart rate and PetCO2 can predict ROSC without stopping compressions, and the PetCO2 pattern during compression pauses can rapidly confirm ROSC. Use of a sequential decision guideline using heart rate and PetCO2 may reduce unnecessary compression pauses during critical moments during recovery from cardiopulmonary arrest.
Keywords:Cardiac arrest   Return of spontaneous circulation   End-tidal carbon dioxide   Capnography   Chest compressions   Perfusion
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