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Título : | TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model |
Autor : | 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 |
metadata.dc.subject.*: | 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 |
Fecha de publicación : | 2017 |
Editorial : | Public Library of Science |
Citación : | 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 |
Resumen : | 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. |
metadata.dc.identifier.eissn: | 1932-6203 |
metadata.dc.identifier.doi: | 10.1371/journal.pone.0171191 |
Aparece en las colecciones: | Artículos de Revista en Ciencias Médicas |
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Fichero | Descripción | Tamaño | Formato | |
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JaimesFabián_2017_TIMP1andMMP6PredictorsMortalityPatients.pdf | Artículo de investigación | 1.19 MB | Adobe PDF | Visualizar/Abrir |
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