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dc.contributor.authorJaimes Barragán, Fabián Alberto-
dc.contributor.authorNiño, María Eugenia-
dc.contributor.authorSerrano, Sergio Eduardo-
dc.contributor.authorNiño, Daniela Camila-
dc.contributor.authorMargarita Mccosham, Diana-
dc.contributor.authorEugenia Cárdenas, María-
dc.contributor.authorPoleth Villareal, Vivian-
dc.contributor.authorLópez, Marcos-
dc.contributor.authorPazin Filho, Antonio-
dc.contributor.authorCunha, Fernando-
dc.contributor.authorSchulz, Richard-
dc.contributor.authorTorres Dueñas, Diego-
dc.date.accessioned2024-04-22T20:33:25Z-
dc.date.available2024-04-22T20:33:25Z-
dc.date.issued2017-
dc.identifier.citationNiño 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.0171191spa
dc.identifier.urihttps://hdl.handle.net/10495/39099-
dc.description.abstractABSTRACT: 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.spa
dc.format.extent12 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherPublic Library of Sciencespa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/co/*
dc.titleTIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate modelspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupGrupo Académico de Epidemiología Clínicaspa
dc.identifier.doi10.1371/journal.pone.0171191-
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.identifier.eissn1932-6203-
oaire.citationtitlePLoS ONEspa
oaire.citationstartpage1spa
oaire.citationendpage12spa
oaire.citationvolume12spa
oaire.citationissue2spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by/4.0/spa
oaire.fundernameColombia. Ministerio de Ciencia, Tecnología e Innovación - Mincienciasspa
dc.publisher.placeSan Francisco, Estados Unidosspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.subject.decsNitrógeno de la Urea Sanguínea-
dc.subject.decsBlood Urea Nitrogen-
dc.subject.decsProteína C-Reactiva-
dc.subject.decsC-Reactive Protein-
dc.subject.decsCalcitonina-
dc.subject.decsCalcitonin-
dc.subject.decsCreatinina-
dc.subject.decsCreatinine-
dc.subject.decsServicio de Urgencia en Hospital-
dc.subject.decsEmergency Service, Hospital-
dc.subject.decsUnidades de Cuidados Intensivos-
dc.subject.decsIntensive Care Units-
dc.subject.decsMetaloproteinasa 2 de la Matriz-
dc.subject.decsMatrix Metalloproteinase 2-
dc.subject.decsMetaloproteinasa 9 de la Matriz-
dc.subject.decsMatrix Metalloproteinase 9-
dc.subject.decsSepsis-
dc.subject.decsInhibidor Tisular de Metaloproteinasa-1-
dc.subject.decsTissue Inhibitor of Metalloproteinase-1-
dc.subject.decsInhibidor Tisular de Metaloproteinasa-2-
dc.subject.decsTissue Inhibitor of Metalloproteinase-2-
dc.subject.decsTasa de Supervivencia-
dc.subject.decsSurvival Rate-
dc.description.researchgroupidCOL0007121spa
oaire.awardnumber515- 2008 (124145921713), 504-2009 (124149326164)spa
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D001806-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D002097-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D002116-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D003404-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D004636-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D007362-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D020778-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D020780-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D018805-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D019715-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D019716-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D015996-
dc.relation.ispartofjournalabbrevPLoS ONEspa
oaire.funderidentifier.rorRoR:03fd5ne08-
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