Sepsis Mortality Prediction Based on Predisposition, Infection and Response
Autor(a) principal: | |
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Data de Publicação: | 2008 |
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/10400.17/1428 |
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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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 instacron:RCAAP |
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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 |
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