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Systemic inflammatory response syndrome criteria and the prediction of hospital mortality in critically ill patients: a retrospective cohort study
OBJECTIVE: This study intended to determine whether the systemic inflammatory response syndrome criteria can predict hospital mortality in a Brazilian cohort of critically ill patients. METHODS: We performed a retrospective cohort study at a private tertiary hospital in São Paulo (SP), Brazil. We ex...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação de Medicina Intensiva Brasileira -
AMIB
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632974/ https://www.ncbi.nlm.nih.gov/pubmed/28977100 http://dx.doi.org/10.5935/0103-507X.20170047 |
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author | Taniguchi, Leandro Utino Pires, Ellen Maria Campos Vieira Jr., José Mauro de Azevedo, Luciano Cesar Pontes |
author_facet | Taniguchi, Leandro Utino Pires, Ellen Maria Campos Vieira Jr., José Mauro de Azevedo, Luciano Cesar Pontes |
author_sort | Taniguchi, Leandro Utino |
collection | PubMed |
description | OBJECTIVE: This study intended to determine whether the systemic inflammatory response syndrome criteria can predict hospital mortality in a Brazilian cohort of critically ill patients. METHODS: We performed a retrospective cohort study at a private tertiary hospital in São Paulo (SP), Brazil. We extracted information from the adult intensive care unit database (Sistema Epimed™). We compared the SAPS 3 and the systemic inflammatory response syndrome model as dichotomous (≥ 2 criteria: systemic inflammatory response syndrome -positive versus 0 - 1 criterion: systemic inflammatory response syndrome -negative) and ordinal variables from 0 to 4 (according to the number of systemic inflammatory response syndrome criteria met) in the prediction of hospital mortality at intensive care unit admission. Model discrimination was compared using the area under the receiver operating characteristics (AUROC) curve. RESULTS: From January to December 2012, we studied 932 patients (60.4% were systemic inflammatory response syndrome -positive). systemic inflammatory response syndrome -positive patients were more critically ill than systemic inflammatory response syndrome -negative patients and had higher hospital mortality (16.9% versus 8.1%, p < 0.001). In the adjusted analysis, being systemic inflammatory response syndrome -positive independently increased the risk of death by 82% (odds ratio 1.82; 95% confidence interval [CI] 1.12 - 2.96, p = 0.016). However, the AUROC curve for the SAPS 3 model was higher (0.81, 95%CI 0.78 - 0.85) compared to the systemic inflammatory response syndrome model with the systemic inflammatory response syndrome criteria as a dichotomous variable (0.60, 95%CI 0.55 - 0.65) and as an ordinal variable (0.62, 95%CI 0.57 - 0.68; p < 0.001) for hospital mortality. CONCLUSION: Although systemic inflammatory response syndrome is associated with hospital mortality, the systemic inflammatory response syndrome criteria show low accuracy in the prediction of mortality compared with the SAPS 3. |
format | Online Article Text |
id | pubmed-5632974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Associação de Medicina Intensiva Brasileira -
AMIB |
record_format | MEDLINE/PubMed |
spelling | pubmed-56329742017-10-12 Systemic inflammatory response syndrome criteria and the prediction of hospital mortality in critically ill patients: a retrospective cohort study Taniguchi, Leandro Utino Pires, Ellen Maria Campos Vieira Jr., José Mauro de Azevedo, Luciano Cesar Pontes Rev Bras Ter Intensiva Original Articles OBJECTIVE: This study intended to determine whether the systemic inflammatory response syndrome criteria can predict hospital mortality in a Brazilian cohort of critically ill patients. METHODS: We performed a retrospective cohort study at a private tertiary hospital in São Paulo (SP), Brazil. We extracted information from the adult intensive care unit database (Sistema Epimed™). We compared the SAPS 3 and the systemic inflammatory response syndrome model as dichotomous (≥ 2 criteria: systemic inflammatory response syndrome -positive versus 0 - 1 criterion: systemic inflammatory response syndrome -negative) and ordinal variables from 0 to 4 (according to the number of systemic inflammatory response syndrome criteria met) in the prediction of hospital mortality at intensive care unit admission. Model discrimination was compared using the area under the receiver operating characteristics (AUROC) curve. RESULTS: From January to December 2012, we studied 932 patients (60.4% were systemic inflammatory response syndrome -positive). systemic inflammatory response syndrome -positive patients were more critically ill than systemic inflammatory response syndrome -negative patients and had higher hospital mortality (16.9% versus 8.1%, p < 0.001). In the adjusted analysis, being systemic inflammatory response syndrome -positive independently increased the risk of death by 82% (odds ratio 1.82; 95% confidence interval [CI] 1.12 - 2.96, p = 0.016). However, the AUROC curve for the SAPS 3 model was higher (0.81, 95%CI 0.78 - 0.85) compared to the systemic inflammatory response syndrome model with the systemic inflammatory response syndrome criteria as a dichotomous variable (0.60, 95%CI 0.55 - 0.65) and as an ordinal variable (0.62, 95%CI 0.57 - 0.68; p < 0.001) for hospital mortality. CONCLUSION: Although systemic inflammatory response syndrome is associated with hospital mortality, the systemic inflammatory response syndrome criteria show low accuracy in the prediction of mortality compared with the SAPS 3. Associação de Medicina Intensiva Brasileira - AMIB 2017 /pmc/articles/PMC5632974/ /pubmed/28977100 http://dx.doi.org/10.5935/0103-507X.20170047 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Taniguchi, Leandro Utino Pires, Ellen Maria Campos Vieira Jr., José Mauro de Azevedo, Luciano Cesar Pontes Systemic inflammatory response syndrome criteria and the prediction of hospital mortality in critically ill patients: a retrospective cohort study |
title | Systemic inflammatory response syndrome criteria and the prediction
of hospital mortality in critically ill patients: a retrospective cohort
study |
title_full | Systemic inflammatory response syndrome criteria and the prediction
of hospital mortality in critically ill patients: a retrospective cohort
study |
title_fullStr | Systemic inflammatory response syndrome criteria and the prediction
of hospital mortality in critically ill patients: a retrospective cohort
study |
title_full_unstemmed | Systemic inflammatory response syndrome criteria and the prediction
of hospital mortality in critically ill patients: a retrospective cohort
study |
title_short | Systemic inflammatory response syndrome criteria and the prediction
of hospital mortality in critically ill patients: a retrospective cohort
study |
title_sort | systemic inflammatory response syndrome criteria and the prediction
of hospital mortality in critically ill patients: a retrospective cohort
study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632974/ https://www.ncbi.nlm.nih.gov/pubmed/28977100 http://dx.doi.org/10.5935/0103-507X.20170047 |
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