Resuscitation From Out-of-Hospital Cardiac Arrest: When Is EtCO <sub>2</sub> Reliably Associated With ROSC?

M Michelle M.J. Nassal (Department of Emergency Medicine, The Ohio State University Medical Center, Columbus, OH (M.M.J.N., A.R.P., H.E.W.).) R Rachel M. Smith E Elisabete Aramendi (Department of Communication Engineering, BioRes Group, University of the Basque Country, UPV/EHU, Bilbao, Spain (E.A., X.J.).) A Andoni Elola (Department of Electronic Technology, BioRes Group, University of the Basque Country, UPV/EHU, Bilbao, Spain (A.E.).) X Xabier Jaureguibeitia (Department of Communication Engineering, BioRes Group, University of the Basque Country, UPV/EHU, Bilbao, Spain (E.A., X.J.).) A Ahamed H. Idris M Mohamud R. Daya (Department of Emergency Medicine, Oregon Health &amp; Science University, Portland, OR (M.R.D.).) J Jestin N. Carlson (Department of Emergency Medicine, University of Pittsburgh, PA (J.N.C.).) T Tom P. Aufderheide (Department of Emergency Medicine, Medical College of Wisconsin, Milwaukee, WI (T.P.A.).) G Graham Nichol (Department of Emergency Medicine, University of Washington, Seattle, WA (G.N.).) A Ashish R. Panchal (Department of Emergency Medicine, The Ohio State University Medical Center, Columbus, OH (M.M.J.N., A.R.P., H.E.W.).) H Henry E. Wang

Abstract

BACKGROUND: Exhaled end-tidal carbon dioxide (EtCO 2 ) trajectory is associated with out-of-hospital cardiac arrest (OHCA) outcomes. However, the minimum EtCO 2 monitoring duration needed to discriminate return of spontaneous circulation (ROSC) from non-ROSC remains unknown. We sought to determine the EtCO 2 trajectory observation time required to differentiate ROSC from non-ROSC patients. METHODS: We performed a secondary analysis of the cluster-randomized Pragmatic Airway Resuscitation Trial (PART), which assessed endotracheal intubation or laryngeal tube strategies in OHCA resuscitation. We summarized mean EtCO 2 in 1-minute epochs over the resuscitation. Cases were stratified a priori by: (1) witnessed versus unwitnessed status, and (2) initial EtCO 2 : low (≤30 mm Hg), moderate (31–49), and high (≥50). Within each stratum, group-based trajectory modeling (GBTM) was used to identify latent EtCO 2 trajectory classes, and patients were categorized into an upward or downward trajectory. To balance trajectory groups on baseline characteristics including age, sex, race, initial rhythm, location, and bystander CPR, we applied inverse probability of treatment weighting. We fit weighted pooled logistic regression models to estimate risk ratios (RRs) for ROSC comparing upward versus downward EtCO 2 trajectories. Within each stratum, we identified the earliest minute when CIs between upward versus downward EtCO 2 trajectories no longer overlapped. RESULTS: EtCO 2 data were available for 1168 patients: 452 (38.6%) witnessed and 716 (61.1%) unwitnessed. Patients were predominantly men (63.5%), with a median age of 65 years (Q1, Q3: 53–75), majority White race (51.3%), and presenting in a nonpublic setting (85.4%). Overall ROSC was 18.2%: 30.5% of witnessed and 10.5% of unwitnessed. Among witnessed arrests, 95% CI for upward versus downward EtCO 2 trajectories no longer overlapped at 8 minutes for low initial EtCO 2 (RR, 3.06; 95% CI, 1.49, 6.71), 12 minutes for moderate EtCO 2 (RR, 1.95; 95% CI, 1.23, 3.48), and 21 minutes for high EtCO 2 (RR, 2.12; 95% CI, 1.30, 3.73). Among unwitnessed arrests, nonoverlapping CIs were first observed at 7 minutes (RR, 3.56; 95% CI, 1.53, 10.37). CONCLUSIONS: Depending on witness status and initial EtCO 2 , between 7 and 21 minutes of monitoring are needed to reliably differentiate upward from downward EtCO 2 trajectories during OHCA resuscitation. Dynamic EtCO 2 trajectory monitoring may provide early prognostic information to guide resuscitation.

Article Details

Journal Circulation
Volume / Issue Vol. 154, Issue 2
Published July 14, 2026
Pages 88-95
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (12)

M

Michelle M.J. Nassal

Department of Emergency Medicine, The Ohio State University Medical Center, Columbus, OH (M.M.J.N., A.R.P., H.E.W.).

R

Rachel M. Smith

E

Elisabete Aramendi

Department of Communication Engineering, BioRes Group, University of the Basque Country, UPV/EHU, Bilbao, Spain (E.A., X.J.).

A

Andoni Elola

Department of Electronic Technology, BioRes Group, University of the Basque Country, UPV/EHU, Bilbao, Spain (A.E.).

X

Xabier Jaureguibeitia

Department of Communication Engineering, BioRes Group, University of the Basque Country, UPV/EHU, Bilbao, Spain (E.A., X.J.).

A

Ahamed H. Idris

M

Mohamud R. Daya

Department of Emergency Medicine, Oregon Health &amp; Science University, Portland, OR (M.R.D.).

J

Jestin N. Carlson

Department of Emergency Medicine, University of Pittsburgh, PA (J.N.C.).

T

Tom P. Aufderheide

Department of Emergency Medicine, Medical College of Wisconsin, Milwaukee, WI (T.P.A.).

G

Graham Nichol

Department of Emergency Medicine, University of Washington, Seattle, WA (G.N.).

A

Ashish R. Panchal

Department of Emergency Medicine, The Ohio State University Medical Center, Columbus, OH (M.M.J.N., A.R.P., H.E.W.).

H

Henry E. Wang