Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Escola de Enfermagem da USP (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342022000100461 |
Resumo: | ABSTRACT Objective: To identify clinical indicators and nursing diagnoses with the highest risk of mortality in critically ill patients with COVID-19. Method: Retrospective cohort with the population of adults and elderly people with COVID-19 from an Intensive Care Unit. Categorical variables were described using absolute and relative frequencies and risk factors for mortality using Cox regression, with a confidence interval of 95%. Results: The main clinical indicators of COVID-19 patients were dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses at higher risk of mortality were Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation, Acute confusion, Frailty syndrome, Obesity, and Decreased cardiac output. It is worth mentioning that there was little information about the diagnoses of Domains 9, 10, and 12. Conclusion: This research infers the need to monitor the clinical indicators dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses with the highest risk of mortality Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation in critically ill patients. |
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Revista da Escola de Enfermagem da USP (Online) |
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Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohortCoronavirusSigns and SymptomsNursing DiagnosisRisk FactorsMortalityPatient Care PlanningABSTRACT Objective: To identify clinical indicators and nursing diagnoses with the highest risk of mortality in critically ill patients with COVID-19. Method: Retrospective cohort with the population of adults and elderly people with COVID-19 from an Intensive Care Unit. Categorical variables were described using absolute and relative frequencies and risk factors for mortality using Cox regression, with a confidence interval of 95%. Results: The main clinical indicators of COVID-19 patients were dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses at higher risk of mortality were Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation, Acute confusion, Frailty syndrome, Obesity, and Decreased cardiac output. It is worth mentioning that there was little information about the diagnoses of Domains 9, 10, and 12. Conclusion: This research infers the need to monitor the clinical indicators dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses with the highest risk of mortality Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation in critically ill patients.Universidade de São Paulo, Escola de Enfermagem2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342022000100461Revista da Escola de Enfermagem da USP v.56 2022reponame:Revista da Escola de Enfermagem da USP (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/1980-220x-reeusp-2021-0568eninfo:eu-repo/semantics/openAccessBarioni,Elis Maria SecotiNascimento,Cawana da Silva doAmaral,Thatiana Lameira MacielRamalho Neto,José MelquíadesPrado,Patrícia Rezende doeng2022-07-05T00:00:00Zoai:scielo:S0080-62342022000100461Revistahttp://www.scielo.br/reeuspPUBhttps://old.scielo.br/oai/scielo-oai.php||nursingscholar@usp.br1980-220X0080-6234opendoar:2022-07-05T00:00Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort |
title |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort |
spellingShingle |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort Barioni,Elis Maria Secoti Coronavirus Signs and Symptoms Nursing Diagnosis Risk Factors Mortality Patient Care Planning |
title_short |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort |
title_full |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort |
title_fullStr |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort |
title_full_unstemmed |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort |
title_sort |
Clinical indicators, nursing diagnoses, and mortality risk in critically ill patients with COVID-19: a retrospective cohort |
author |
Barioni,Elis Maria Secoti |
author_facet |
Barioni,Elis Maria Secoti Nascimento,Cawana da Silva do Amaral,Thatiana Lameira Maciel Ramalho Neto,José Melquíades Prado,Patrícia Rezende do |
author_role |
author |
author2 |
Nascimento,Cawana da Silva do Amaral,Thatiana Lameira Maciel Ramalho Neto,José Melquíades Prado,Patrícia Rezende do |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Barioni,Elis Maria Secoti Nascimento,Cawana da Silva do Amaral,Thatiana Lameira Maciel Ramalho Neto,José Melquíades Prado,Patrícia Rezende do |
dc.subject.por.fl_str_mv |
Coronavirus Signs and Symptoms Nursing Diagnosis Risk Factors Mortality Patient Care Planning |
topic |
Coronavirus Signs and Symptoms Nursing Diagnosis Risk Factors Mortality Patient Care Planning |
description |
ABSTRACT Objective: To identify clinical indicators and nursing diagnoses with the highest risk of mortality in critically ill patients with COVID-19. Method: Retrospective cohort with the population of adults and elderly people with COVID-19 from an Intensive Care Unit. Categorical variables were described using absolute and relative frequencies and risk factors for mortality using Cox regression, with a confidence interval of 95%. Results: The main clinical indicators of COVID-19 patients were dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses at higher risk of mortality were Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation, Acute confusion, Frailty syndrome, Obesity, and Decreased cardiac output. It is worth mentioning that there was little information about the diagnoses of Domains 9, 10, and 12. Conclusion: This research infers the need to monitor the clinical indicators dyspnea, fever, fatigue, cough, among others, and the Nursing Diagnoses with the highest risk of mortality Ineffective protection, Ineffective tissue perfusion, Contamination, Ineffective Breathing Pattern, Impaired spontaneous ventilation in critically ill patients. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342022000100461 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342022000100461 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-220x-reeusp-2021-0568en |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
dc.source.none.fl_str_mv |
Revista da Escola de Enfermagem da USP v.56 2022 reponame:Revista da Escola de Enfermagem da USP (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista da Escola de Enfermagem da USP (Online) |
collection |
Revista da Escola de Enfermagem da USP (Online) |
repository.name.fl_str_mv |
Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||nursingscholar@usp.br |
_version_ |
1748936541996056576 |