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Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry
BACKGROUND: Predicting a spontaneous rhythm change from nonshockable to shockable before hospital arrival in patients with out‐of‐hospital cardiac arrest can help emergency medical services develop better strategies for prehospital treatment. The aim of this study was to identify predictors of spont...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238669/ https://www.ncbi.nlm.nih.gov/pubmed/35699202 http://dx.doi.org/10.1161/JAHA.121.025048 |
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author | Emoto, Ryo Nishikimi, Mitsuaki Shoaib, Muhammad Hayashida, Kei Nishida, Kazuki Kikutani, Kazuya Ohshimo, Shinichiro Matsui, Shigeyuki Shime, Nobuaki Iwami, Taku |
author_facet | Emoto, Ryo Nishikimi, Mitsuaki Shoaib, Muhammad Hayashida, Kei Nishida, Kazuki Kikutani, Kazuya Ohshimo, Shinichiro Matsui, Shigeyuki Shime, Nobuaki Iwami, Taku |
author_sort | Emoto, Ryo |
collection | PubMed |
description | BACKGROUND: Predicting a spontaneous rhythm change from nonshockable to shockable before hospital arrival in patients with out‐of‐hospital cardiac arrest can help emergency medical services develop better strategies for prehospital treatment. The aim of this study was to identify predictors of spontaneous rhythm change before hospital arrival in patients with out‐of‐hospital cardiac arrest and develop a predictive scoring system. METHODS AND RESULTS: We retrospectively reviewed data of eligible patients with out‐of‐hospital cardiac arrest with an initial nonshockable rhythm registered in a nationwide registry between June 2014 and December 2017. We performed a multivariable analysis using a Cox proportional hazards model to identify predictors of a spontaneous rhythm change, and a ridge regression model for predicting it. The data of 25 804 patients were analyzed (derivation cohort, n=17 743; validation cohort, n=8061). The rhythm change event rate was 4.1% (724/17 743) in the derivation cohort, and 4.0% (326/8061) in the validation cohorts. Age, sex, presence of a witness, initial rhythm, chest compression by a bystander, shock with an automated external defibrillator by a bystander, and cause of the cardiac arrest were all found to be independently associated with spontaneous rhythm change before hospital arrival. Based on this finding, we developed and validated the Rhythm Change Before Hospital Arrival for Nonshockable score. The Harrell’s concordance index values of the score were 0.71 and 0.67 in the internal and external validations, respectively. CONCLUSIONS: Seven factors were identified as predictors of a spontaneous rhythm change from nonshockable to shockable before hospital arrival. We developed and validated a score to predict rhythm change before hospital arrival. |
format | Online Article Text |
id | pubmed-9238669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92386692022-06-30 Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry Emoto, Ryo Nishikimi, Mitsuaki Shoaib, Muhammad Hayashida, Kei Nishida, Kazuki Kikutani, Kazuya Ohshimo, Shinichiro Matsui, Shigeyuki Shime, Nobuaki Iwami, Taku J Am Heart Assoc Original Research BACKGROUND: Predicting a spontaneous rhythm change from nonshockable to shockable before hospital arrival in patients with out‐of‐hospital cardiac arrest can help emergency medical services develop better strategies for prehospital treatment. The aim of this study was to identify predictors of spontaneous rhythm change before hospital arrival in patients with out‐of‐hospital cardiac arrest and develop a predictive scoring system. METHODS AND RESULTS: We retrospectively reviewed data of eligible patients with out‐of‐hospital cardiac arrest with an initial nonshockable rhythm registered in a nationwide registry between June 2014 and December 2017. We performed a multivariable analysis using a Cox proportional hazards model to identify predictors of a spontaneous rhythm change, and a ridge regression model for predicting it. The data of 25 804 patients were analyzed (derivation cohort, n=17 743; validation cohort, n=8061). The rhythm change event rate was 4.1% (724/17 743) in the derivation cohort, and 4.0% (326/8061) in the validation cohorts. Age, sex, presence of a witness, initial rhythm, chest compression by a bystander, shock with an automated external defibrillator by a bystander, and cause of the cardiac arrest were all found to be independently associated with spontaneous rhythm change before hospital arrival. Based on this finding, we developed and validated the Rhythm Change Before Hospital Arrival for Nonshockable score. The Harrell’s concordance index values of the score were 0.71 and 0.67 in the internal and external validations, respectively. CONCLUSIONS: Seven factors were identified as predictors of a spontaneous rhythm change from nonshockable to shockable before hospital arrival. We developed and validated a score to predict rhythm change before hospital arrival. John Wiley and Sons Inc. 2022-06-14 /pmc/articles/PMC9238669/ /pubmed/35699202 http://dx.doi.org/10.1161/JAHA.121.025048 Text en © 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Emoto, Ryo Nishikimi, Mitsuaki Shoaib, Muhammad Hayashida, Kei Nishida, Kazuki Kikutani, Kazuya Ohshimo, Shinichiro Matsui, Shigeyuki Shime, Nobuaki Iwami, Taku Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry |
title | Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry |
title_full | Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry |
title_fullStr | Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry |
title_full_unstemmed | Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry |
title_short | Prediction of Prehospital Change of the Cardiac Rhythm From Nonshockable to Shockable in Out‐of‐Hospital Patients With Cardiac Arrest: A Post Hoc Analysis of a Nationwide, Multicenter, Prospective Registry |
title_sort | prediction of prehospital change of the cardiac rhythm from nonshockable to shockable in out‐of‐hospital patients with cardiac arrest: a post hoc analysis of a nationwide, multicenter, prospective registry |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238669/ https://www.ncbi.nlm.nih.gov/pubmed/35699202 http://dx.doi.org/10.1161/JAHA.121.025048 |
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