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Identification of warning signs for prevention of in-hospital cardiorespiratory arrest

OBJECTIVE: to identify the occurrence of warning signs and changes in vital signs in individuals who experienced in-hospital cardiorespiratory arrest and correlate them with the occurrence of this event. METHOD: this is a retrospective, analytical and quantitative study that included 218 medical rec...

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Autores principales: Souza, Beatriz Tessorolo, Lopes, Maria Carolina Barbosa Teixeira, Okuno, Meiry Fernanda Pinto, Batista, Ruth Ester Assayag, de Góis, Aécio Flávio Teixeira, Campanharo, Cássia Regina Vancini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358140/
http://dx.doi.org/10.1590/1518-8345.2853.3072
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author Souza, Beatriz Tessorolo
Lopes, Maria Carolina Barbosa Teixeira
Okuno, Meiry Fernanda Pinto
Batista, Ruth Ester Assayag
de Góis, Aécio Flávio Teixeira
Campanharo, Cássia Regina Vancini
author_facet Souza, Beatriz Tessorolo
Lopes, Maria Carolina Barbosa Teixeira
Okuno, Meiry Fernanda Pinto
Batista, Ruth Ester Assayag
de Góis, Aécio Flávio Teixeira
Campanharo, Cássia Regina Vancini
author_sort Souza, Beatriz Tessorolo
collection PubMed
description OBJECTIVE: to identify the occurrence of warning signs and changes in vital signs in individuals who experienced in-hospital cardiorespiratory arrest and correlate them with the occurrence of this event. METHOD: this is a retrospective, analytical and quantitative study that included 218 medical records of patients who suffered in-hospital cardiorespiratory arrest and identified warning signs and alterations in vital signs. Mean, standard deviation, median, minimum and maximum values were calculated for the continuous variables, and frequency and percentage for the categorical variables. We compared the age and occurrence of cardiorespiratory arrest with the occurrence of warning signs using the Chi-Square Test and the Mann Whitney non-parametric test (p-value < 0.05). RESULTS: 62.1% of the patients presented signs and symptoms of shock, 44.9% of neurological alteration, 40.4% of malaise, 15.2% presented signs suggestive of acute coronary syndrome, and 25.9% presented mental confusion. In the last measurement of vital signs before cardiorespiratory arrest, the majority of patients had altered abnormal (32.6%) and severely abnormal (23.9%) heart rate, and abnormal (37.1%) and severely abnormal (27.0%) respiratory rate. CONCLUSION: the warning signs identified were: shock, neurological signs, malaise and acute coronary syndrome. The prevalent changes in vital signs were: heart rate, respiratory rate and O(2) saturation. Patients with severely abnormal systolic blood pressure were not discharged and those with abnormal respiratory rate did not survive 6 months after cardiorespiratory arrest.
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spelling pubmed-63581402019-02-15 Identification of warning signs for prevention of in-hospital cardiorespiratory arrest Souza, Beatriz Tessorolo Lopes, Maria Carolina Barbosa Teixeira Okuno, Meiry Fernanda Pinto Batista, Ruth Ester Assayag de Góis, Aécio Flávio Teixeira Campanharo, Cássia Regina Vancini Rev Lat Am Enfermagem Original Article OBJECTIVE: to identify the occurrence of warning signs and changes in vital signs in individuals who experienced in-hospital cardiorespiratory arrest and correlate them with the occurrence of this event. METHOD: this is a retrospective, analytical and quantitative study that included 218 medical records of patients who suffered in-hospital cardiorespiratory arrest and identified warning signs and alterations in vital signs. Mean, standard deviation, median, minimum and maximum values were calculated for the continuous variables, and frequency and percentage for the categorical variables. We compared the age and occurrence of cardiorespiratory arrest with the occurrence of warning signs using the Chi-Square Test and the Mann Whitney non-parametric test (p-value < 0.05). RESULTS: 62.1% of the patients presented signs and symptoms of shock, 44.9% of neurological alteration, 40.4% of malaise, 15.2% presented signs suggestive of acute coronary syndrome, and 25.9% presented mental confusion. In the last measurement of vital signs before cardiorespiratory arrest, the majority of patients had altered abnormal (32.6%) and severely abnormal (23.9%) heart rate, and abnormal (37.1%) and severely abnormal (27.0%) respiratory rate. CONCLUSION: the warning signs identified were: shock, neurological signs, malaise and acute coronary syndrome. The prevalent changes in vital signs were: heart rate, respiratory rate and O(2) saturation. Patients with severely abnormal systolic blood pressure were not discharged and those with abnormal respiratory rate did not survive 6 months after cardiorespiratory arrest. Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2019-01-31 /pmc/articles/PMC6358140/ http://dx.doi.org/10.1590/1518-8345.2853.3072 Text en © 2019 Revista Latino-Americana de Enfermagem https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Original Article
Souza, Beatriz Tessorolo
Lopes, Maria Carolina Barbosa Teixeira
Okuno, Meiry Fernanda Pinto
Batista, Ruth Ester Assayag
de Góis, Aécio Flávio Teixeira
Campanharo, Cássia Regina Vancini
Identification of warning signs for prevention of in-hospital cardiorespiratory arrest
title Identification of warning signs for prevention of in-hospital cardiorespiratory arrest
title_full Identification of warning signs for prevention of in-hospital cardiorespiratory arrest
title_fullStr Identification of warning signs for prevention of in-hospital cardiorespiratory arrest
title_full_unstemmed Identification of warning signs for prevention of in-hospital cardiorespiratory arrest
title_short Identification of warning signs for prevention of in-hospital cardiorespiratory arrest
title_sort identification of warning signs for prevention of in-hospital cardiorespiratory arrest
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358140/
http://dx.doi.org/10.1590/1518-8345.2853.3072
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