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Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis

AIM OF THE STUDY: Most survivors of an in-hospital cardiac arrest do not leave the hospital alive, and there is a need for a more patient-centered, holistic approach to the assessment of prognosis after an arrest. We sought to identify pre-, peri-, and post-arrest variables associated with in-hospit...

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Autores principales: Alnabelsi, Talal, Annabathula, Rahul, Shelton, Julie, Paranzino, Marc, Faulkner, Sarah Price, Cook, Matthew, Dugan, Adam J., Nerusu, Sethabhisha, Smyth, Susan S., Gupta, Vedant A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244474/
https://www.ncbi.nlm.nih.gov/pubmed/34223316
http://dx.doi.org/10.1016/j.resplu.2020.100039
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author Alnabelsi, Talal
Annabathula, Rahul
Shelton, Julie
Paranzino, Marc
Faulkner, Sarah Price
Cook, Matthew
Dugan, Adam J.
Nerusu, Sethabhisha
Smyth, Susan S.
Gupta, Vedant A.
author_facet Alnabelsi, Talal
Annabathula, Rahul
Shelton, Julie
Paranzino, Marc
Faulkner, Sarah Price
Cook, Matthew
Dugan, Adam J.
Nerusu, Sethabhisha
Smyth, Susan S.
Gupta, Vedant A.
author_sort Alnabelsi, Talal
collection PubMed
description AIM OF THE STUDY: Most survivors of an in-hospital cardiac arrest do not leave the hospital alive, and there is a need for a more patient-centered, holistic approach to the assessment of prognosis after an arrest. We sought to identify pre-, peri-, and post-arrest variables associated with in-hospital mortality amongst survivors of an in-hospital cardiac arrest. METHODS: This was a retrospective cohort study of patients ≥18 years of age who were resuscitated from an in-hospital arrest at our University Medical Center from January 1, 2013 to September 31, 2016. In-hospital mortality was chosen as a primary outcome and unfavorable discharge disposition (discharge disposition other than home or skilled nursing facility) as a secondary outcome. RESULTS: 925 patients comprised the in-hospital arrest cohort with 305 patients failing to survive the arrest and a further 349 patients surviving the initial arrest but dying prior to hospital discharge, resulting in an overall survival of 29%. 620 patients with a ROSC of greater than 20 min following the in-hospital arrest were included in the final analysis. In a stepwise multivariable regression analysis, recurrent cardiac arrest, increasing age, time to ROSC, higher serum creatinine levels, and a history of cancer were predictors of in-hospital mortality. A history of hypertension was found to exert a protective effect on outcomes. In the regression model including serum lactate, increasing lactate levels were associated with lower odds of survival. CONCLUSION: Amongst survivors of in-hospital cardiac arrest, recurrent cardiac arrest was the strongest predictor of poor outcomes with age, time to ROSC, pre-existing malignancy, and serum creatinine levels linked with increased odds of in-hospital mortality.
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spelling pubmed-82444742021-07-02 Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis Alnabelsi, Talal Annabathula, Rahul Shelton, Julie Paranzino, Marc Faulkner, Sarah Price Cook, Matthew Dugan, Adam J. Nerusu, Sethabhisha Smyth, Susan S. Gupta, Vedant A. Resusc Plus Clinical Paper AIM OF THE STUDY: Most survivors of an in-hospital cardiac arrest do not leave the hospital alive, and there is a need for a more patient-centered, holistic approach to the assessment of prognosis after an arrest. We sought to identify pre-, peri-, and post-arrest variables associated with in-hospital mortality amongst survivors of an in-hospital cardiac arrest. METHODS: This was a retrospective cohort study of patients ≥18 years of age who were resuscitated from an in-hospital arrest at our University Medical Center from January 1, 2013 to September 31, 2016. In-hospital mortality was chosen as a primary outcome and unfavorable discharge disposition (discharge disposition other than home or skilled nursing facility) as a secondary outcome. RESULTS: 925 patients comprised the in-hospital arrest cohort with 305 patients failing to survive the arrest and a further 349 patients surviving the initial arrest but dying prior to hospital discharge, resulting in an overall survival of 29%. 620 patients with a ROSC of greater than 20 min following the in-hospital arrest were included in the final analysis. In a stepwise multivariable regression analysis, recurrent cardiac arrest, increasing age, time to ROSC, higher serum creatinine levels, and a history of cancer were predictors of in-hospital mortality. A history of hypertension was found to exert a protective effect on outcomes. In the regression model including serum lactate, increasing lactate levels were associated with lower odds of survival. CONCLUSION: Amongst survivors of in-hospital cardiac arrest, recurrent cardiac arrest was the strongest predictor of poor outcomes with age, time to ROSC, pre-existing malignancy, and serum creatinine levels linked with increased odds of in-hospital mortality. Elsevier 2020-11-07 /pmc/articles/PMC8244474/ /pubmed/34223316 http://dx.doi.org/10.1016/j.resplu.2020.100039 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Paper
Alnabelsi, Talal
Annabathula, Rahul
Shelton, Julie
Paranzino, Marc
Faulkner, Sarah Price
Cook, Matthew
Dugan, Adam J.
Nerusu, Sethabhisha
Smyth, Susan S.
Gupta, Vedant A.
Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis
title Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis
title_full Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis
title_fullStr Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis
title_full_unstemmed Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis
title_short Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis
title_sort predicting in-hospital mortality after an in-hospital cardiac arrest: a multivariate analysis
topic Clinical Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244474/
https://www.ncbi.nlm.nih.gov/pubmed/34223316
http://dx.doi.org/10.1016/j.resplu.2020.100039
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