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

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. DESIGN, SETTING, AND PATIENTS: Single-center, retrospective cohort...

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Autores principales: Mucksavage, Jeffrey J., He, Kevin J., Chang, James, Panlilio-Villanueva, Maria, Wang, Tianxiu, Fraidenburg, Dustin, Benken, Scott T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523842/
https://www.ncbi.nlm.nih.gov/pubmed/33063020
http://dx.doi.org/10.1097/CCE.0000000000000204
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author Mucksavage, Jeffrey J.
He, Kevin J.
Chang, James
Panlilio-Villanueva, Maria
Wang, Tianxiu
Fraidenburg, Dustin
Benken, Scott T.
author_facet Mucksavage, Jeffrey J.
He, Kevin J.
Chang, James
Panlilio-Villanueva, Maria
Wang, Tianxiu
Fraidenburg, Dustin
Benken, Scott T.
author_sort Mucksavage, Jeffrey J.
collection PubMed
description 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. DESIGN, SETTING, AND 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. MEASUREMENTS AND MAIN RESULTS: 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 (p < 0.05). One patient survived to hospital discharge. In multivariate logistic regression modeling for return of spontaneous circulation, a greater change in the prearrest end-tidal carbon dioxide maximum to prearrest end-tidal carbon dioxide minimum was associated with a decreased likelihood of return of spontaneous circulation (odds ratio 0.903; 95% CI, 0.832–0.979; p = 0.014). Additionally, a change from prearrest end-tidal carbon dioxide maximum to prearrest end-tidal carbon dioxide minimum greater than 17 mm Hg was associated with a decreased likelihood of return of spontaneous circulation and odds ratio 0.150; 95% CI, 0.036–0.66; p = 0.012). CONCLUSIONS: 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.
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spelling pubmed-75238422020-10-14 A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests Mucksavage, Jeffrey J. He, Kevin J. Chang, James Panlilio-Villanueva, Maria Wang, Tianxiu Fraidenburg, Dustin Benken, Scott T. Crit Care Explor Observational Study 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. DESIGN, SETTING, AND 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. MEASUREMENTS AND MAIN RESULTS: 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 (p < 0.05). One patient survived to hospital discharge. In multivariate logistic regression modeling for return of spontaneous circulation, a greater change in the prearrest end-tidal carbon dioxide maximum to prearrest end-tidal carbon dioxide minimum was associated with a decreased likelihood of return of spontaneous circulation (odds ratio 0.903; 95% CI, 0.832–0.979; p = 0.014). Additionally, a change from prearrest end-tidal carbon dioxide maximum to prearrest end-tidal carbon dioxide minimum greater than 17 mm Hg was associated with a decreased likelihood of return of spontaneous circulation and odds ratio 0.150; 95% CI, 0.036–0.66; p = 0.012). CONCLUSIONS: 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. Lippincott Williams & Wilkins 2020-09-25 /pmc/articles/PMC7523842/ /pubmed/33063020 http://dx.doi.org/10.1097/CCE.0000000000000204 Text en Copyright © 2020 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Observational Study
Mucksavage, Jeffrey J.
He, Kevin J.
Chang, James
Panlilio-Villanueva, Maria
Wang, Tianxiu
Fraidenburg, Dustin
Benken, Scott T.
A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests
title A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests
title_full A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests
title_fullStr A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests
title_full_unstemmed A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests
title_short A Pilot Study of End-Tidal Carbon Dioxide in Prediction of Inhospital Cardiac Arrests
title_sort pilot study of end-tidal carbon dioxide in prediction of inhospital cardiac arrests
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523842/
https://www.ncbi.nlm.nih.gov/pubmed/33063020
http://dx.doi.org/10.1097/CCE.0000000000000204
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