Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.17/2948 |
Resumo: | OBJECTIVE: To present a systematic review of the use of autonomic nervous system monitoring as a prognostic tool in intensive care units by assessing heart rate variability. METHODS: Literature review of studies published until July 2016 listed in PubMed/Medline and conducted in intensive care units, on autonomic nervous system monitoring, via analysis of heart rate variability as a prognostic tool (mortality study). The following English terms were entered in the search field: ("autonomic nervous system" OR "heart rate variability") AND ("intensive care" OR "critical care" OR "emergency care" OR "ICU") AND ("prognosis" OR "prognoses" OR "mortality"). RESULTS: There was an increased likelihood of death in patients who had a decrease in heart rate variability as analyzed via heart rate variance, cardiac uncoupling, heart rate volatility, integer heart rate variability, standard deviation of NN intervals, root mean square of successive differences, total power, low frequency, very low frequency, low frequency/high frequency ratio, ratio of short-term to long-term fractal exponents, Shannon entropy, multiscale entropy and approximate entropy. CONCLUSION: In patients admitted to intensive care units, regardless of the pathology, heart rate variability varies inversely with clinical severity and prognosis. |
id |
RCAP_019ab28a150af067fb4f287f370bd235 |
---|---|
oai_identifier_str |
oai:repositorio.chlc.min-saude.pt:10400.17/2948 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic ReviewMonitorização do Sistema Nervoso Autônomo em Ambiente de Cuidados Intensivos como Ferramenta de Prognóstico. Revisão SistemáticaCHLC UUMAutonomic Nervous System/physiologyCritical Care/methodsHeart Rate/physiologyIntensive Care UnitsMonitoring, Physiologic/methodsPrognosisSeverity of Illness IndexOBJECTIVE: To present a systematic review of the use of autonomic nervous system monitoring as a prognostic tool in intensive care units by assessing heart rate variability. METHODS: Literature review of studies published until July 2016 listed in PubMed/Medline and conducted in intensive care units, on autonomic nervous system monitoring, via analysis of heart rate variability as a prognostic tool (mortality study). The following English terms were entered in the search field: ("autonomic nervous system" OR "heart rate variability") AND ("intensive care" OR "critical care" OR "emergency care" OR "ICU") AND ("prognosis" OR "prognoses" OR "mortality"). RESULTS: There was an increased likelihood of death in patients who had a decrease in heart rate variability as analyzed via heart rate variance, cardiac uncoupling, heart rate volatility, integer heart rate variability, standard deviation of NN intervals, root mean square of successive differences, total power, low frequency, very low frequency, low frequency/high frequency ratio, ratio of short-term to long-term fractal exponents, Shannon entropy, multiscale entropy and approximate entropy. CONCLUSION: In patients admitted to intensive care units, regardless of the pathology, heart rate variability varies inversely with clinical severity and prognosis.Associação de Medicina Intensiva BrasileiraRepositório do Centro Hospitalar Universitário de Lisboa Central, EPEBento, LFonseca-Pinto, RPóvoa, P2018-03-13T16:20:40Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/2948engRev Bras Ter Intensiva. 2017 Oct-Dec;29(4):481-489.10.5935/0103-507X.20170072info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-10T09:40:27Zoai:repositorio.chlc.min-saude.pt:10400.17/2948Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:20:16.114228Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review Monitorização do Sistema Nervoso Autônomo em Ambiente de Cuidados Intensivos como Ferramenta de Prognóstico. Revisão Sistemática |
title |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review |
spellingShingle |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review Bento, L CHLC UUM Autonomic Nervous System/physiology Critical Care/methods Heart Rate/physiology Intensive Care Units Monitoring, Physiologic/methods Prognosis Severity of Illness Index |
title_short |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review |
title_full |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review |
title_fullStr |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review |
title_full_unstemmed |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review |
title_sort |
Autonomic Nervous System Monitoring in Intensive Care as a Prognostic Tool. Systematic Review |
author |
Bento, L |
author_facet |
Bento, L Fonseca-Pinto, R Póvoa, P |
author_role |
author |
author2 |
Fonseca-Pinto, R Póvoa, P |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE |
dc.contributor.author.fl_str_mv |
Bento, L Fonseca-Pinto, R Póvoa, P |
dc.subject.por.fl_str_mv |
CHLC UUM Autonomic Nervous System/physiology Critical Care/methods Heart Rate/physiology Intensive Care Units Monitoring, Physiologic/methods Prognosis Severity of Illness Index |
topic |
CHLC UUM Autonomic Nervous System/physiology Critical Care/methods Heart Rate/physiology Intensive Care Units Monitoring, Physiologic/methods Prognosis Severity of Illness Index |
description |
OBJECTIVE: To present a systematic review of the use of autonomic nervous system monitoring as a prognostic tool in intensive care units by assessing heart rate variability. METHODS: Literature review of studies published until July 2016 listed in PubMed/Medline and conducted in intensive care units, on autonomic nervous system monitoring, via analysis of heart rate variability as a prognostic tool (mortality study). The following English terms were entered in the search field: ("autonomic nervous system" OR "heart rate variability") AND ("intensive care" OR "critical care" OR "emergency care" OR "ICU") AND ("prognosis" OR "prognoses" OR "mortality"). RESULTS: There was an increased likelihood of death in patients who had a decrease in heart rate variability as analyzed via heart rate variance, cardiac uncoupling, heart rate volatility, integer heart rate variability, standard deviation of NN intervals, root mean square of successive differences, total power, low frequency, very low frequency, low frequency/high frequency ratio, ratio of short-term to long-term fractal exponents, Shannon entropy, multiscale entropy and approximate entropy. CONCLUSION: In patients admitted to intensive care units, regardless of the pathology, heart rate variability varies inversely with clinical severity and prognosis. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z 2018-03-13T16:20:40Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.17/2948 |
url |
http://hdl.handle.net/10400.17/2948 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rev Bras Ter Intensiva. 2017 Oct-Dec;29(4):481-489. 10.5935/0103-507X.20170072 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Associação de Medicina Intensiva Brasileira |
publisher.none.fl_str_mv |
Associação de Medicina Intensiva Brasileira |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799131298786181120 |