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TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model

INTRODUCTION: Matrix metalloproteinases and tissue inhibitors of metalloproteinases could be promising biomarkers for establishing prognosis during the development of sepsis. It is necessary to clarify the relationship between matrix metalloproteinases and their tissue inhibitors. We conducted a coh...

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Autores principales: Niño, Maria Eugenia, Serrano, Sergio Eduardo, Niño, Daniela Camila, McCosham, Diana Margarita, Cardenas, Maria Eugenia, Villareal, Vivian Poleth, Lopez, Marcos, Pazin-Filho, Antonio, Jaimes, Fabian Alberto, Cunha, Fernando, Schulz, Richard, Torres-Dueñas, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5305237/
https://www.ncbi.nlm.nih.gov/pubmed/28192449
http://dx.doi.org/10.1371/journal.pone.0171191
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author Niño, Maria Eugenia
Serrano, Sergio Eduardo
Niño, Daniela Camila
McCosham, Diana Margarita
Cardenas, Maria Eugenia
Villareal, Vivian Poleth
Lopez, Marcos
Pazin-Filho, Antonio
Jaimes, Fabian Alberto
Cunha, Fernando
Schulz, Richard
Torres-Dueñas, Diego
author_facet Niño, Maria Eugenia
Serrano, Sergio Eduardo
Niño, Daniela Camila
McCosham, Diana Margarita
Cardenas, Maria Eugenia
Villareal, Vivian Poleth
Lopez, Marcos
Pazin-Filho, Antonio
Jaimes, Fabian Alberto
Cunha, Fernando
Schulz, Richard
Torres-Dueñas, Diego
author_sort Niño, Maria Eugenia
collection PubMed
description INTRODUCTION: Matrix metalloproteinases and tissue inhibitors of metalloproteinases could be promising biomarkers for establishing prognosis during the development of sepsis. It is necessary to clarify the relationship between matrix metalloproteinases and their tissue inhibitors. We conducted a cohort study with 563 septic patients, in order to elucidate the biological role and significance of these inflammatory biomarkers and their relationship to the severity and mortality of patients with sepsis. MATERIALS AND METHODS: A multicentric prospective cohort was performed. The sample was composed of patients who had sepsis as defined by the International Conference 2001. Serum procalcitonin, creatinine, urea nitrogen, C-Reactive protein, TIMP1, TIMP2, MMP2 and MMP9 were quantified; each patient was followed until death or up to 30 days. A descriptive analysis was performed by calculating the mean and the 95% confidence interval for continuous variables and proportions for categorical variables. A multivariate logistic regression model was constructed by the method of intentional selection of covariates with mortality at 30 days as dependent variable and all the other variables as predictors. RESULTS: Of the 563 patients, 68 patients (12.1%) died within the first 30 days of hospitalization in the ICU. The mean values for TIMP1, TIMP2 and MMP2 were lower in survivors, MMP9 was higher in survivors. Multivariate logistic regression showed that age, SOFA and Charlson scores, along with TIMP1 concentration, were statistically associated with mortality at 30 days of septic patients; serum MMP9 was not statistically associated with mortality of patients, but was a confounder of the TIMP1 variable. CONCLUSION: It could be argued that plasma levels of TIMP1 should be considered as a promising prognostic biomarker in the setting of sepsis. Additionally, this study, like other studies with large numbers of septic patients does not support the predictive value of TIMP1 / MMP9.
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spelling pubmed-53052372017-02-28 TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model Niño, Maria Eugenia Serrano, Sergio Eduardo Niño, Daniela Camila McCosham, Diana Margarita Cardenas, Maria Eugenia Villareal, Vivian Poleth Lopez, Marcos Pazin-Filho, Antonio Jaimes, Fabian Alberto Cunha, Fernando Schulz, Richard Torres-Dueñas, Diego PLoS One Research Article INTRODUCTION: Matrix metalloproteinases and tissue inhibitors of metalloproteinases could be promising biomarkers for establishing prognosis during the development of sepsis. It is necessary to clarify the relationship between matrix metalloproteinases and their tissue inhibitors. We conducted a cohort study with 563 septic patients, in order to elucidate the biological role and significance of these inflammatory biomarkers and their relationship to the severity and mortality of patients with sepsis. MATERIALS AND METHODS: A multicentric prospective cohort was performed. The sample was composed of patients who had sepsis as defined by the International Conference 2001. Serum procalcitonin, creatinine, urea nitrogen, C-Reactive protein, TIMP1, TIMP2, MMP2 and MMP9 were quantified; each patient was followed until death or up to 30 days. A descriptive analysis was performed by calculating the mean and the 95% confidence interval for continuous variables and proportions for categorical variables. A multivariate logistic regression model was constructed by the method of intentional selection of covariates with mortality at 30 days as dependent variable and all the other variables as predictors. RESULTS: Of the 563 patients, 68 patients (12.1%) died within the first 30 days of hospitalization in the ICU. The mean values for TIMP1, TIMP2 and MMP2 were lower in survivors, MMP9 was higher in survivors. Multivariate logistic regression showed that age, SOFA and Charlson scores, along with TIMP1 concentration, were statistically associated with mortality at 30 days of septic patients; serum MMP9 was not statistically associated with mortality of patients, but was a confounder of the TIMP1 variable. CONCLUSION: It could be argued that plasma levels of TIMP1 should be considered as a promising prognostic biomarker in the setting of sepsis. Additionally, this study, like other studies with large numbers of septic patients does not support the predictive value of TIMP1 / MMP9. Public Library of Science 2017-02-13 /pmc/articles/PMC5305237/ /pubmed/28192449 http://dx.doi.org/10.1371/journal.pone.0171191 Text en © 2017 Niño et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Niño, Maria Eugenia
Serrano, Sergio Eduardo
Niño, Daniela Camila
McCosham, Diana Margarita
Cardenas, Maria Eugenia
Villareal, Vivian Poleth
Lopez, Marcos
Pazin-Filho, Antonio
Jaimes, Fabian Alberto
Cunha, Fernando
Schulz, Richard
Torres-Dueñas, Diego
TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model
title TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model
title_full TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model
title_fullStr TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model
title_full_unstemmed TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model
title_short TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model
title_sort timp1 and mmp9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike mmp9/timp1 ratio: multivariate model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5305237/
https://www.ncbi.nlm.nih.gov/pubmed/28192449
http://dx.doi.org/10.1371/journal.pone.0171191
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