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

ABSTRACT: 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...

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Autores:
Jaimes Barragán, Fabián Alberto
Niño, María Eugenia
Serrano, Sergio Eduardo
Niño, Daniela Camila
Margarita Mccosham, Diana
Eugenia Cárdenas, María
Poleth Villareal, Vivian
López, Marcos
Pazin Filho, Antonio
Cunha, Fernando
Schulz, Richard
Torres Dueñas, Diego
Tipo de recurso:
Article of investigation
Fecha de publicación:
2017
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/39099
Acceso en línea:
https://hdl.handle.net/10495/39099
Palabra clave:
Nitrógeno de la Urea Sanguínea
Blood Urea Nitrogen
Proteína C-Reactiva
C-Reactive Protein
Calcitonina
Calcitonin
Creatinina
Creatinine
Servicio de Urgencia en Hospital
Emergency Service, Hospital
Unidades de Cuidados Intensivos
Intensive Care Units
Metaloproteinasa 2 de la Matriz
Matrix Metalloproteinase 2
Metaloproteinasa 9 de la Matriz
Matrix Metalloproteinase 9
Sepsis
Inhibidor Tisular de Metaloproteinasa-1
Tissue Inhibitor of Metalloproteinase-1
Inhibidor Tisular de Metaloproteinasa-2
Tissue Inhibitor of Metalloproteinase-2
Tasa de Supervivencia
Survival Rate
https://id.nlm.nih.gov/mesh/D001806
https://id.nlm.nih.gov/mesh/D002097
https://id.nlm.nih.gov/mesh/D002116
https://id.nlm.nih.gov/mesh/D003404
https://id.nlm.nih.gov/mesh/D004636
https://id.nlm.nih.gov/mesh/D007362
https://id.nlm.nih.gov/mesh/D020778
https://id.nlm.nih.gov/mesh/D020780
https://id.nlm.nih.gov/mesh/D018805
https://id.nlm.nih.gov/mesh/D019715
https://id.nlm.nih.gov/mesh/D019716
https://id.nlm.nih.gov/mesh/D015996
Rights
openAccess
License
http://creativecommons.org/licenses/by/2.5/co/
id UDEA2_747df6486f9674d5fcec407211594e73
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/39099
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv 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
spellingShingle TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model
Nitrógeno de la Urea Sanguínea
Blood Urea Nitrogen
Proteína C-Reactiva
C-Reactive Protein
Calcitonina
Calcitonin
Creatinina
Creatinine
Servicio de Urgencia en Hospital
Emergency Service, Hospital
Unidades de Cuidados Intensivos
Intensive Care Units
Metaloproteinasa 2 de la Matriz
Matrix Metalloproteinase 2
Metaloproteinasa 9 de la Matriz
Matrix Metalloproteinase 9
Sepsis
Inhibidor Tisular de Metaloproteinasa-1
Tissue Inhibitor of Metalloproteinase-1
Inhibidor Tisular de Metaloproteinasa-2
Tissue Inhibitor of Metalloproteinase-2
Tasa de Supervivencia
Survival Rate
https://id.nlm.nih.gov/mesh/D001806
https://id.nlm.nih.gov/mesh/D002097
https://id.nlm.nih.gov/mesh/D002116
https://id.nlm.nih.gov/mesh/D003404
https://id.nlm.nih.gov/mesh/D004636
https://id.nlm.nih.gov/mesh/D007362
https://id.nlm.nih.gov/mesh/D020778
https://id.nlm.nih.gov/mesh/D020780
https://id.nlm.nih.gov/mesh/D018805
https://id.nlm.nih.gov/mesh/D019715
https://id.nlm.nih.gov/mesh/D019716
https://id.nlm.nih.gov/mesh/D015996
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_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_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
dc.creator.fl_str_mv Jaimes Barragán, Fabián Alberto
Niño, María Eugenia
Serrano, Sergio Eduardo
Niño, Daniela Camila
Margarita Mccosham, Diana
Eugenia Cárdenas, María
Poleth Villareal, Vivian
López, Marcos
Pazin Filho, Antonio
Cunha, Fernando
Schulz, Richard
Torres Dueñas, Diego
dc.contributor.author.none.fl_str_mv Jaimes Barragán, Fabián Alberto
Niño, María Eugenia
Serrano, Sergio Eduardo
Niño, Daniela Camila
Margarita Mccosham, Diana
Eugenia Cárdenas, María
Poleth Villareal, Vivian
López, Marcos
Pazin Filho, Antonio
Cunha, Fernando
Schulz, Richard
Torres Dueñas, Diego
dc.contributor.researchgroup.spa.fl_str_mv Grupo Académico de Epidemiología Clínica
dc.subject.decs.none.fl_str_mv Nitrógeno de la Urea Sanguínea
Blood Urea Nitrogen
Proteína C-Reactiva
C-Reactive Protein
Calcitonina
Calcitonin
Creatinina
Creatinine
Servicio de Urgencia en Hospital
Emergency Service, Hospital
Unidades de Cuidados Intensivos
Intensive Care Units
Metaloproteinasa 2 de la Matriz
Matrix Metalloproteinase 2
Metaloproteinasa 9 de la Matriz
Matrix Metalloproteinase 9
Sepsis
Inhibidor Tisular de Metaloproteinasa-1
Tissue Inhibitor of Metalloproteinase-1
Inhibidor Tisular de Metaloproteinasa-2
Tissue Inhibitor of Metalloproteinase-2
Tasa de Supervivencia
Survival Rate
topic Nitrógeno de la Urea Sanguínea
Blood Urea Nitrogen
Proteína C-Reactiva
C-Reactive Protein
Calcitonina
Calcitonin
Creatinina
Creatinine
Servicio de Urgencia en Hospital
Emergency Service, Hospital
Unidades de Cuidados Intensivos
Intensive Care Units
Metaloproteinasa 2 de la Matriz
Matrix Metalloproteinase 2
Metaloproteinasa 9 de la Matriz
Matrix Metalloproteinase 9
Sepsis
Inhibidor Tisular de Metaloproteinasa-1
Tissue Inhibitor of Metalloproteinase-1
Inhibidor Tisular de Metaloproteinasa-2
Tissue Inhibitor of Metalloproteinase-2
Tasa de Supervivencia
Survival Rate
https://id.nlm.nih.gov/mesh/D001806
https://id.nlm.nih.gov/mesh/D002097
https://id.nlm.nih.gov/mesh/D002116
https://id.nlm.nih.gov/mesh/D003404
https://id.nlm.nih.gov/mesh/D004636
https://id.nlm.nih.gov/mesh/D007362
https://id.nlm.nih.gov/mesh/D020778
https://id.nlm.nih.gov/mesh/D020780
https://id.nlm.nih.gov/mesh/D018805
https://id.nlm.nih.gov/mesh/D019715
https://id.nlm.nih.gov/mesh/D019716
https://id.nlm.nih.gov/mesh/D015996
dc.subject.meshuri.none.fl_str_mv https://id.nlm.nih.gov/mesh/D001806
https://id.nlm.nih.gov/mesh/D002097
https://id.nlm.nih.gov/mesh/D002116
https://id.nlm.nih.gov/mesh/D003404
https://id.nlm.nih.gov/mesh/D004636
https://id.nlm.nih.gov/mesh/D007362
https://id.nlm.nih.gov/mesh/D020778
https://id.nlm.nih.gov/mesh/D020780
https://id.nlm.nih.gov/mesh/D018805
https://id.nlm.nih.gov/mesh/D019715
https://id.nlm.nih.gov/mesh/D019716
https://id.nlm.nih.gov/mesh/D015996
description ABSTRACT: 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.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2024-04-22T20:33:25Z
dc.date.available.none.fl_str_mv 2024-04-22T20:33:25Z
dc.type.spa.fl_str_mv Artículo de investigación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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dc.identifier.citation.spa.fl_str_mv Niño ME, Serrano SE, Niño DC, McCosham DM, Cardenas ME, Villareal VP, et al. (2017) TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/ TIMP1 ratio: Multivariate model. PLoS ONE 12(2): e0171191. doi:10.1371/journal.pone.0171191
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10495/39099
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0171191
dc.identifier.eissn.none.fl_str_mv 1932-6203
identifier_str_mv Niño ME, Serrano SE, Niño DC, McCosham DM, Cardenas ME, Villareal VP, et al. (2017) TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/ TIMP1 ratio: Multivariate model. PLoS ONE 12(2): e0171191. doi:10.1371/journal.pone.0171191
10.1371/journal.pone.0171191
1932-6203
url https://hdl.handle.net/10495/39099
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv PLoS ONE
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dc.relation.citationissue.spa.fl_str_mv 2
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dc.relation.citationvolume.spa.fl_str_mv 12
dc.relation.ispartofjournal.spa.fl_str_mv PLoS ONE
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spelling Jaimes Barragán, Fabián AlbertoNiño, María EugeniaSerrano, Sergio EduardoNiño, Daniela CamilaMargarita Mccosham, DianaEugenia Cárdenas, MaríaPoleth Villareal, VivianLópez, MarcosPazin Filho, AntonioCunha, FernandoSchulz, RichardTorres Dueñas, DiegoGrupo Académico de Epidemiología Clínica2024-04-22T20:33:25Z2024-04-22T20:33:25Z2017Niño ME, Serrano SE, Niño DC, McCosham DM, Cardenas ME, Villareal VP, et al. (2017) TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/ TIMP1 ratio: Multivariate model. PLoS ONE 12(2): e0171191. doi:10.1371/journal.pone.0171191https://hdl.handle.net/10495/3909910.1371/journal.pone.01711911932-6203ABSTRACT: 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.Colombia. Ministerio de Ciencia, Tecnología e Innovación - MincienciasCOL000712112 páginasapplication/pdfengPublic Library of ScienceSan Francisco, Estados Unidoshttp://creativecommons.org/licenses/by/2.5/co/https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate modelArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionNitrógeno de la Urea SanguíneaBlood Urea NitrogenProteína C-ReactivaC-Reactive ProteinCalcitoninaCalcitoninCreatininaCreatinineServicio de Urgencia en HospitalEmergency Service, HospitalUnidades de Cuidados IntensivosIntensive Care UnitsMetaloproteinasa 2 de la MatrizMatrix Metalloproteinase 2Metaloproteinasa 9 de la MatrizMatrix Metalloproteinase 9SepsisInhibidor Tisular de Metaloproteinasa-1Tissue Inhibitor of Metalloproteinase-1Inhibidor Tisular de Metaloproteinasa-2Tissue Inhibitor of Metalloproteinase-2Tasa de SupervivenciaSurvival Ratehttps://id.nlm.nih.gov/mesh/D001806https://id.nlm.nih.gov/mesh/D002097https://id.nlm.nih.gov/mesh/D002116https://id.nlm.nih.gov/mesh/D003404https://id.nlm.nih.gov/mesh/D004636https://id.nlm.nih.gov/mesh/D007362https://id.nlm.nih.gov/mesh/D020778https://id.nlm.nih.gov/mesh/D020780https://id.nlm.nih.gov/mesh/D018805https://id.nlm.nih.gov/mesh/D019715https://id.nlm.nih.gov/mesh/D019716https://id.nlm.nih.gov/mesh/D015996PLoS ONE122112PLoS ONE515- 2008 (124145921713), 504-2009 (124149326164)RoR:03fd5ne08PublicationORIGINALJaimesFabián_2017_TIMP1andMMP6PredictorsMortalityPatients.pdfJaimesFabián_2017_TIMP1andMMP6PredictorsMortalityPatients.pdfArtículo de investigaciónapplication/pdf1221293https://bibliotecadigital.udea.edu.co/bitstreams/b5b0db11-e60d-4593-9ec7-ed576bad958e/download0eb78c58a232dfd72028d036778d1826MD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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