Sepsis Mortality Prediction Based on Predisposition, Infection and Response

Detalhes bibliográficos
Autor(a) principal: Moreno, R
Data de Publicação: 2008
Outros Autores: Metnitz, B, Adler, L, Hoechtl, A, Bauer, P, Metnitz, P, SAPS 3 Investigators
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.17/1428
Resumo: OBJECTIVE: To empirically test, based on a large multicenter, multinational database, whether a modified PIRO (predisposition, insult, response, and organ dysfunction) concept could be applied to predict mortality in patients with infection and sepsis. DESIGN: Substudy of a multicenter multinational cohort study (SAPS 3). PATIENTS: A total of 2,628 patients with signs of infection or sepsis who stayed in the ICU for >48 h. Three boxes of variables were defined, according to the PIRO concept. Box 1 (Predisposition) contained information about the patient's condition before ICU admission. Box 2 (Injury) contained information about the infection at ICU admission. Box 3 (Response) was defined as the response to the infection, expressed as a Sequential Organ Failure Assessment score after 48 h. INTERVENTIONS: None. MAIN MEASUREMENTS AND RESULTS: Most of the infections were community acquired (59.6%); 32.5% were hospital acquired. The median age of the patients was 65 (50-75) years, and 41.1% were female. About 22% (n=576) of the patients presented with infection only, 36.3% (n=953) with signs of sepsis, 23.6% (n=619) with severe sepsis, and 18.3% (n=480) with septic shock. Hospital mortality was 40.6% overall, greater in those with septic shock (52.5%) than in those with infection (34.7%). Several factors related to predisposition, infection and response were associated with hospital mortality. CONCLUSION: The proposed three-level system, by using objectively defined criteria for risk of mortality in sepsis, could be used by physicians to stratify patients at ICU admission or shortly thereafter, contributing to a better selection of management according to the risk of death.
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spelling Sepsis Mortality Prediction Based on Predisposition, Infection and ResponseDoença CrónicaInfecções Comunitárias AdquiridasInfecção HospitalarMortalidadeBases de Dados FactuaisSusceptibilidade a DoençaInfecções por Bactérias Gram-PositivasMortalidade HospitalarUnidades de Cuidados IntensivosSépsisÍndice de Gravidade da DoençaInsuficiência de Múltiplos ÓrgãosChoque SépticoMicrobiologiaSíndrome de Resposta Inflamatória SistémicaOBJECTIVE: To empirically test, based on a large multicenter, multinational database, whether a modified PIRO (predisposition, insult, response, and organ dysfunction) concept could be applied to predict mortality in patients with infection and sepsis. DESIGN: Substudy of a multicenter multinational cohort study (SAPS 3). PATIENTS: A total of 2,628 patients with signs of infection or sepsis who stayed in the ICU for >48 h. Three boxes of variables were defined, according to the PIRO concept. Box 1 (Predisposition) contained information about the patient's condition before ICU admission. Box 2 (Injury) contained information about the infection at ICU admission. Box 3 (Response) was defined as the response to the infection, expressed as a Sequential Organ Failure Assessment score after 48 h. INTERVENTIONS: None. MAIN MEASUREMENTS AND RESULTS: Most of the infections were community acquired (59.6%); 32.5% were hospital acquired. The median age of the patients was 65 (50-75) years, and 41.1% were female. About 22% (n=576) of the patients presented with infection only, 36.3% (n=953) with signs of sepsis, 23.6% (n=619) with severe sepsis, and 18.3% (n=480) with septic shock. Hospital mortality was 40.6% overall, greater in those with septic shock (52.5%) than in those with infection (34.7%). Several factors related to predisposition, infection and response were associated with hospital mortality. CONCLUSION: The proposed three-level system, by using objectively defined criteria for risk of mortality in sepsis, could be used by physicians to stratify patients at ICU admission or shortly thereafter, contributing to a better selection of management according to the risk of death.SpringerRepositório do Centro Hospitalar Universitário de Lisboa Central, EPEMoreno, RMetnitz, BAdler, LHoechtl, ABauer, PMetnitz, PSAPS 3 Investigators2013-08-06T16:31:16Z20082008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/1428engIntensive Care Med. 2008 Mar;34(3):496-504info: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:RCAAP2023-03-10T09:31:29Zoai:repositorio.chlc.min-saude.pt:10400.17/1428Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:18:55.545383Repositório 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 Sepsis Mortality Prediction Based on Predisposition, Infection and Response
title Sepsis Mortality Prediction Based on Predisposition, Infection and Response
spellingShingle Sepsis Mortality Prediction Based on Predisposition, Infection and Response
Moreno, R
Doença Crónica
Infecções Comunitárias Adquiridas
Infecção Hospitalar
Mortalidade
Bases de Dados Factuais
Susceptibilidade a Doença
Infecções por Bactérias Gram-Positivas
Mortalidade Hospitalar
Unidades de Cuidados Intensivos
Sépsis
Índice de Gravidade da Doença
Insuficiência de Múltiplos Órgãos
Choque Séptico
Microbiologia
Síndrome de Resposta Inflamatória Sistémica
title_short Sepsis Mortality Prediction Based on Predisposition, Infection and Response
title_full Sepsis Mortality Prediction Based on Predisposition, Infection and Response
title_fullStr Sepsis Mortality Prediction Based on Predisposition, Infection and Response
title_full_unstemmed Sepsis Mortality Prediction Based on Predisposition, Infection and Response
title_sort Sepsis Mortality Prediction Based on Predisposition, Infection and Response
author Moreno, R
author_facet Moreno, R
Metnitz, B
Adler, L
Hoechtl, A
Bauer, P
Metnitz, P
SAPS 3 Investigators
author_role author
author2 Metnitz, B
Adler, L
Hoechtl, A
Bauer, P
Metnitz, P
SAPS 3 Investigators
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE
dc.contributor.author.fl_str_mv Moreno, R
Metnitz, B
Adler, L
Hoechtl, A
Bauer, P
Metnitz, P
SAPS 3 Investigators
dc.subject.por.fl_str_mv Doença Crónica
Infecções Comunitárias Adquiridas
Infecção Hospitalar
Mortalidade
Bases de Dados Factuais
Susceptibilidade a Doença
Infecções por Bactérias Gram-Positivas
Mortalidade Hospitalar
Unidades de Cuidados Intensivos
Sépsis
Índice de Gravidade da Doença
Insuficiência de Múltiplos Órgãos
Choque Séptico
Microbiologia
Síndrome de Resposta Inflamatória Sistémica
topic Doença Crónica
Infecções Comunitárias Adquiridas
Infecção Hospitalar
Mortalidade
Bases de Dados Factuais
Susceptibilidade a Doença
Infecções por Bactérias Gram-Positivas
Mortalidade Hospitalar
Unidades de Cuidados Intensivos
Sépsis
Índice de Gravidade da Doença
Insuficiência de Múltiplos Órgãos
Choque Séptico
Microbiologia
Síndrome de Resposta Inflamatória Sistémica
description OBJECTIVE: To empirically test, based on a large multicenter, multinational database, whether a modified PIRO (predisposition, insult, response, and organ dysfunction) concept could be applied to predict mortality in patients with infection and sepsis. DESIGN: Substudy of a multicenter multinational cohort study (SAPS 3). PATIENTS: A total of 2,628 patients with signs of infection or sepsis who stayed in the ICU for >48 h. Three boxes of variables were defined, according to the PIRO concept. Box 1 (Predisposition) contained information about the patient's condition before ICU admission. Box 2 (Injury) contained information about the infection at ICU admission. Box 3 (Response) was defined as the response to the infection, expressed as a Sequential Organ Failure Assessment score after 48 h. INTERVENTIONS: None. MAIN MEASUREMENTS AND RESULTS: Most of the infections were community acquired (59.6%); 32.5% were hospital acquired. The median age of the patients was 65 (50-75) years, and 41.1% were female. About 22% (n=576) of the patients presented with infection only, 36.3% (n=953) with signs of sepsis, 23.6% (n=619) with severe sepsis, and 18.3% (n=480) with septic shock. Hospital mortality was 40.6% overall, greater in those with septic shock (52.5%) than in those with infection (34.7%). Several factors related to predisposition, infection and response were associated with hospital mortality. CONCLUSION: The proposed three-level system, by using objectively defined criteria for risk of mortality in sepsis, could be used by physicians to stratify patients at ICU admission or shortly thereafter, contributing to a better selection of management according to the risk of death.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-01-01T00:00:00Z
2013-08-06T16:31:16Z
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/10400.17/1428
url http://hdl.handle.net/10400.17/1428
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Intensive Care Med. 2008 Mar;34(3):496-504
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 Springer
publisher.none.fl_str_mv Springer
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
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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
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