A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests.

cardiology critical care end-tidal carbon dioxide inhospital cardiac arrest intensive care unit

Journal

Critical care explorations
ISSN: 2639-8028
Titre abrégé: Crit Care Explor
Pays: United States
ID NLM: 101746347

Informations de publication

Date de publication:
Oct 2020
Historique:
entrez: 16 10 2020
pubmed: 17 10 2020
medline: 17 10 2020
Statut: epublish

Résumé

A validated means to predict inhospital cardiac arrest is lacking. The purpose of this study was to evaluate the changes in end-tidal carbon dioxide, as it correlates with the progression to inhospital cardiac arrest in ICU patients. Single-center, retrospective cohort study of mechanically ventilated ICU patients (age > 18 yr old) having inhospital cardiac arrest with advanced cardiac life support and continuous end-tidal carbon dioxide monitoring at a single academic center from 2014 to 2017. Demographics, clinical variables, and outcomes were collected. End-tidal carbon dioxide was collected from 5 to 2,880 minutes before inhospital cardiac arrest. Data were analyzed using descriptive statistics, and model estimates were generated using a repeated-measures categorical model with restricted maximum likelihood estimation and fully specified (autoregressive) covariance to assess the effect of time on changes in end-tidal carbon dioxide. A total of 788 patients were identified and 104 met inclusion criteria, where 62% were male with an average age of 58.5 years. Seventy-four percent required vasopressors and 72% experienced pulseless electrical activity. Mean end-tidal carbon dioxide 5 minutes prior to inhospital cardiac arrest was significantly lower than all evaluated time points except 180 minutes ( Mean end-tidal carbon dioxide is significantly lower immediately before inhospital cardiac arrest. The statistical and clinical significance of end-tidal carbon dioxide may highlight its utility for predicting inhospital cardiac arrest in ICU patients. Comparison analysis and modeling explorations in a larger cohort are needed.

Identifiants

pubmed: 33063020
doi: 10.1097/CCE.0000000000000204
pmc: PMC7523842
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0204

Subventions

Organisme : NHLBI NIH HHS
ID : K08 HL133474
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002003
Pays : United States

Informations de copyright

Copyright © 2020 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.

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Auteurs

Jeffrey J Mucksavage (JJ)

Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, IL.

Kevin J He (KJ)

Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, IL.

James Chang (J)

Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, IL.

Maria Panlilio-Villanueva (M)

Department of Nursing, University of Illinois Health, Chicago, IL.

Tianxiu Wang (T)

University of Illinois at Chicago Center for Clinical and Translational Science, Chicago, IL.

Dustin Fraidenburg (D)

Division of Pulmonary Critical Care Medicine, University of Illinois at Chicago College of Medicine, Chicago, IL.

Scott T Benken (ST)

Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, IL.

Classifications MeSH