Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?

Detalhes bibliográficos
Autor(a) principal: Schmidt,Débora
Data de Publicação: 2019
Outros Autores: Coelho,Ana Cláudia, Vieira,Fernando Nataniel, Torres,Vitor Félix, Savi,Augusto, Vieira,Silvia Regina Rios
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos de neuro-psiquiatria (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2019000100033
Resumo: ABSTRACT Objective: To determine the sensitivity and specificity of peripheral and respiratory muscle strength tests in diagnosing critical illness polyneuromyopathy (CIPNM), compared with an electrophysiological examination. Methods: Fifty septic patients who required mechanical ventilation for at least five days, and without a previous history of muscle weakness, were included. Peripheral muscle strength was assessed using the Medical Research Council (MRC) score, handgrip strength by dynamometry, and respiratory muscle strength with maximum respiratory pressures. Diagnosis of CIPNM was either confirmed or rejected by an electrophysiological examination. Receiver operating characteristic curve analysis was performed to determine the cut-off values with the best sensitivity (SN) and specificity (SP) of the studied variables in the presence or absence of CIPNM. Results: Patients with CIPNM were older, more critical (APACHE IV/SAPS 3), had a longer hospitalization, required mechanical ventilation for longer, and had a higher rate of intensive care unit readmission. Cutoff values identified CIPNM patients using MRC scores, dynamometry according to sex, maximal expiratory and inspiratory pressures, as well as being confirmed by the electrophysiological examination, with good sensitivity and specificity: < 40 (SN: 0.893; SP: 0.955); < 7 kg (SN: 1; SP: 0.909) for men, < 4 kg (SN: 0.882; SP: 1) for women; < 34 cmH2O (SN: 0.808; SP: 0.909) and > −40 cmH2O (SN: 0.846; SP: 0.909), respectively. Conclusion: The MRC score, dynamometry or maximum respiratory pressures can be used to identify patients with CIPNM at the intensive care bedside assessment. The healthcare professional can choose any of the methods studied to evaluate the patient, based on his experience and the resource available.
id ABNEURO-1_824f94d887e83476e820f47590bd9f9c
oai_identifier_str oai:scielo:S0004-282X2019000100033
network_acronym_str ABNEURO-1
network_name_str Arquivos de neuro-psiquiatria (Online)
repository_id_str
spelling Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?Polyneuropathiesmuscular diseasessepsismuscle strengthABSTRACT Objective: To determine the sensitivity and specificity of peripheral and respiratory muscle strength tests in diagnosing critical illness polyneuromyopathy (CIPNM), compared with an electrophysiological examination. Methods: Fifty septic patients who required mechanical ventilation for at least five days, and without a previous history of muscle weakness, were included. Peripheral muscle strength was assessed using the Medical Research Council (MRC) score, handgrip strength by dynamometry, and respiratory muscle strength with maximum respiratory pressures. Diagnosis of CIPNM was either confirmed or rejected by an electrophysiological examination. Receiver operating characteristic curve analysis was performed to determine the cut-off values with the best sensitivity (SN) and specificity (SP) of the studied variables in the presence or absence of CIPNM. Results: Patients with CIPNM were older, more critical (APACHE IV/SAPS 3), had a longer hospitalization, required mechanical ventilation for longer, and had a higher rate of intensive care unit readmission. Cutoff values identified CIPNM patients using MRC scores, dynamometry according to sex, maximal expiratory and inspiratory pressures, as well as being confirmed by the electrophysiological examination, with good sensitivity and specificity: < 40 (SN: 0.893; SP: 0.955); < 7 kg (SN: 1; SP: 0.909) for men, < 4 kg (SN: 0.882; SP: 1) for women; < 34 cmH2O (SN: 0.808; SP: 0.909) and > −40 cmH2O (SN: 0.846; SP: 0.909), respectively. Conclusion: The MRC score, dynamometry or maximum respiratory pressures can be used to identify patients with CIPNM at the intensive care bedside assessment. The healthcare professional can choose any of the methods studied to evaluate the patient, based on his experience and the resource available.Academia Brasileira de Neurologia - ABNEURO2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2019000100033Arquivos de Neuro-Psiquiatria v.77 n.1 2019reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/0004-282x20180144info:eu-repo/semantics/openAccessSchmidt,DéboraCoelho,Ana CláudiaVieira,Fernando NatanielTorres,Vitor FélixSavi,AugustoVieira,Silvia Regina Rioseng2019-02-01T00:00:00Zoai:scielo:S0004-282X2019000100033Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2019-02-01T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse
dc.title.none.fl_str_mv Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
title Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
spellingShingle Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
Schmidt,Débora
Polyneuropathies
muscular diseases
sepsis
muscle strength
title_short Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
title_full Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
title_fullStr Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
title_full_unstemmed Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
title_sort Critical illness polyneuromyopathy in septic patients: Is it possible to diagnose it in a bedside clinical examination?
author Schmidt,Débora
author_facet Schmidt,Débora
Coelho,Ana Cláudia
Vieira,Fernando Nataniel
Torres,Vitor Félix
Savi,Augusto
Vieira,Silvia Regina Rios
author_role author
author2 Coelho,Ana Cláudia
Vieira,Fernando Nataniel
Torres,Vitor Félix
Savi,Augusto
Vieira,Silvia Regina Rios
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Schmidt,Débora
Coelho,Ana Cláudia
Vieira,Fernando Nataniel
Torres,Vitor Félix
Savi,Augusto
Vieira,Silvia Regina Rios
dc.subject.por.fl_str_mv Polyneuropathies
muscular diseases
sepsis
muscle strength
topic Polyneuropathies
muscular diseases
sepsis
muscle strength
description ABSTRACT Objective: To determine the sensitivity and specificity of peripheral and respiratory muscle strength tests in diagnosing critical illness polyneuromyopathy (CIPNM), compared with an electrophysiological examination. Methods: Fifty septic patients who required mechanical ventilation for at least five days, and without a previous history of muscle weakness, were included. Peripheral muscle strength was assessed using the Medical Research Council (MRC) score, handgrip strength by dynamometry, and respiratory muscle strength with maximum respiratory pressures. Diagnosis of CIPNM was either confirmed or rejected by an electrophysiological examination. Receiver operating characteristic curve analysis was performed to determine the cut-off values with the best sensitivity (SN) and specificity (SP) of the studied variables in the presence or absence of CIPNM. Results: Patients with CIPNM were older, more critical (APACHE IV/SAPS 3), had a longer hospitalization, required mechanical ventilation for longer, and had a higher rate of intensive care unit readmission. Cutoff values identified CIPNM patients using MRC scores, dynamometry according to sex, maximal expiratory and inspiratory pressures, as well as being confirmed by the electrophysiological examination, with good sensitivity and specificity: < 40 (SN: 0.893; SP: 0.955); < 7 kg (SN: 1; SP: 0.909) for men, < 4 kg (SN: 0.882; SP: 1) for women; < 34 cmH2O (SN: 0.808; SP: 0.909) and > −40 cmH2O (SN: 0.846; SP: 0.909), respectively. Conclusion: The MRC score, dynamometry or maximum respiratory pressures can be used to identify patients with CIPNM at the intensive care bedside assessment. The healthcare professional can choose any of the methods studied to evaluate the patient, based on his experience and the resource available.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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=S0004-282X2019000100033
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2019000100033
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0004-282x20180144
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 Academia Brasileira de Neurologia - ABNEURO
publisher.none.fl_str_mv Academia Brasileira de Neurologia - ABNEURO
dc.source.none.fl_str_mv Arquivos de Neuro-Psiquiatria v.77 n.1 2019
reponame:Arquivos de neuro-psiquiatria (Online)
instname:Academia Brasileira de Neurologia
instacron:ABNEURO
instname_str Academia Brasileira de Neurologia
instacron_str ABNEURO
institution ABNEURO
reponame_str Arquivos de neuro-psiquiatria (Online)
collection Arquivos de neuro-psiquiatria (Online)
repository.name.fl_str_mv Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia
repository.mail.fl_str_mv ||revista.arquivos@abneuro.org
_version_ 1754212784629874688