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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-8244474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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