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A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department

PURPOSE: At present, not enough is known about the symptoms before cardiac arrest. The purpose of this study is to describe the precursor symptoms of cardiac arrest, focusing on the relationship between symptoms and cardiac arrest, and to establish a quick scoring model of symptoms for predicting ca...

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Autores principales: Xu, Yaoke, Zhang, Hua, Zhao, Zongxuan, Wen, Kaifeng, Tian, Ci, Zhai, Qiangrong, Bai, Yi, Li, Shu, Ge, Hongxia, Li, Xiaodan, Zhou, Qidi, Ma, Qingbian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699727/
https://www.ncbi.nlm.nih.gov/pubmed/36438861
http://dx.doi.org/10.1155/2022/6889237
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author Xu, Yaoke
Zhang, Hua
Zhao, Zongxuan
Wen, Kaifeng
Tian, Ci
Zhai, Qiangrong
Bai, Yi
Li, Shu
Ge, Hongxia
Li, Xiaodan
Zhou, Qidi
Ma, Qingbian
author_facet Xu, Yaoke
Zhang, Hua
Zhao, Zongxuan
Wen, Kaifeng
Tian, Ci
Zhai, Qiangrong
Bai, Yi
Li, Shu
Ge, Hongxia
Li, Xiaodan
Zhou, Qidi
Ma, Qingbian
author_sort Xu, Yaoke
collection PubMed
description PURPOSE: At present, not enough is known about the symptoms before cardiac arrest. The purpose of this study is to describe the precursor symptoms of cardiac arrest, focusing on the relationship between symptoms and cardiac arrest, and to establish a quick scoring model of symptoms for predicting cardiac arrest. Patients and Methods. A retrospective case-control study was carried out on cardiac arrest patients who visited the emergency department of Peking University Third Hospital from January 2018 to June 2019. Symptoms that occurred or were obviously aggravated within the 14 days before CA were defined as warning symptoms. RESULTS: More than half the cardiac arrest patients experienced warning symptoms within 14 days before cardiac arrest. Dyspnea (p < 0.001) was found to be associated with cardiac arrest; syncope and cold sweat are other symptoms that may have particular clinical significance. Gender (p < 0.001), age (p < 0.001), history of heart failure (p=0.006), chronic kidney disease (p=0.011), and hyperlipidemia (p=0.004) were other factors contributing to our model. CONCLUSIONS: Warning symptoms during the 14 days prior to cardiac arrest are common for CA patients. The Quick Scoring Model for Cardiac Arrest (QSM-CA) was developed to help emergency physicians and emergency medical services (EMS) personnel quickly identify patients with a high risk of cardiac arrest.
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spelling pubmed-96997272022-11-26 A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department Xu, Yaoke Zhang, Hua Zhao, Zongxuan Wen, Kaifeng Tian, Ci Zhai, Qiangrong Bai, Yi Li, Shu Ge, Hongxia Li, Xiaodan Zhou, Qidi Ma, Qingbian Emerg Med Int Research Article PURPOSE: At present, not enough is known about the symptoms before cardiac arrest. The purpose of this study is to describe the precursor symptoms of cardiac arrest, focusing on the relationship between symptoms and cardiac arrest, and to establish a quick scoring model of symptoms for predicting cardiac arrest. Patients and Methods. A retrospective case-control study was carried out on cardiac arrest patients who visited the emergency department of Peking University Third Hospital from January 2018 to June 2019. Symptoms that occurred or were obviously aggravated within the 14 days before CA were defined as warning symptoms. RESULTS: More than half the cardiac arrest patients experienced warning symptoms within 14 days before cardiac arrest. Dyspnea (p < 0.001) was found to be associated with cardiac arrest; syncope and cold sweat are other symptoms that may have particular clinical significance. Gender (p < 0.001), age (p < 0.001), history of heart failure (p=0.006), chronic kidney disease (p=0.011), and hyperlipidemia (p=0.004) were other factors contributing to our model. CONCLUSIONS: Warning symptoms during the 14 days prior to cardiac arrest are common for CA patients. The Quick Scoring Model for Cardiac Arrest (QSM-CA) was developed to help emergency physicians and emergency medical services (EMS) personnel quickly identify patients with a high risk of cardiac arrest. Hindawi 2022-11-18 /pmc/articles/PMC9699727/ /pubmed/36438861 http://dx.doi.org/10.1155/2022/6889237 Text en Copyright © 2022 Yaoke Xu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Yaoke
Zhang, Hua
Zhao, Zongxuan
Wen, Kaifeng
Tian, Ci
Zhai, Qiangrong
Bai, Yi
Li, Shu
Ge, Hongxia
Li, Xiaodan
Zhou, Qidi
Ma, Qingbian
A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department
title A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department
title_full A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department
title_fullStr A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department
title_full_unstemmed A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department
title_short A Retrospective Study: Quick Scoring of Symptoms to Estimate the Risk of Cardiac Arrest in the Emergency Department
title_sort retrospective study: quick scoring of symptoms to estimate the risk of cardiac arrest in the emergency department
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699727/
https://www.ncbi.nlm.nih.gov/pubmed/36438861
http://dx.doi.org/10.1155/2022/6889237
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