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Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors

The focus of sepsis has shifted from inflammation to organ dysfunction on the basis of a recent definition based on the sequential organ failure score (SOFA). A diagnostic and prognostic marker is necessary under this definition but is currently unknown. We enrolled 80 sepsis patients consecutively...

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Autores principales: Jekarl, Dong Wook, Kim, Ji Yeon, Ha, Jick Hwan, Lee, Seungok, Yoo, Jaeeun, Kim, Myungshin, Kim, Yonggoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6754872/
https://www.ncbi.nlm.nih.gov/pubmed/31583025
http://dx.doi.org/10.1155/2019/1089107
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author Jekarl, Dong Wook
Kim, Ji Yeon
Ha, Jick Hwan
Lee, Seungok
Yoo, Jaeeun
Kim, Myungshin
Kim, Yonggoo
author_facet Jekarl, Dong Wook
Kim, Ji Yeon
Ha, Jick Hwan
Lee, Seungok
Yoo, Jaeeun
Kim, Myungshin
Kim, Yonggoo
author_sort Jekarl, Dong Wook
collection PubMed
description The focus of sepsis has shifted from inflammation to organ dysfunction on the basis of a recent definition based on the sequential organ failure score (SOFA). A diagnostic and prognostic marker is necessary under this definition but is currently unknown. We enrolled 80 sepsis patients consecutively admitted to an intensive care unit through the emergency department and 80 healthy control patients who received routine health check-ups from August 2018 to January 2019. SEPSIS-3 criteria were used for the diagnosis of patients based on SOFA score ≥ 2 from the baseline along with evidence of infection. Concentrations of 28 cytokines, eight chemokines, and nine growth factors were measured on the day of diagnosis. Hierarchical cluster analysis was performed for molecules. The majority of infections were pneumonia (45% of patients) and urinary tract infections (40% of patients). Most of the measured molecules were increased in patients with sepsis. Area under receiver operating characteristic curve (AUROC) values were found to be as follows: hepatic growth factor (HGF), 0.899; interleukin-1 receptor antagonist (IL-1RA), 0.893; C-C motif ligand 5 (CCL5) 5, 0.887; C-X-C motif chemokine 10 (CXCL10), 0.851; CCL2, 0.840; and IL-6, 0.830. IL-1RA, IL-6, IL-8, IL-15, and CCL11 concentrations correlated with SOFA score with statistical significance. Prognosis multivariate analysis revealed an odds ratio of 0.968 for epidermal growth factor (EGF). Three clusters were formed, of which Clusters 2 and 3 were associated with nonsurvivors. Diagnosis of sepsis was performed using cytokines, chemokines, and growth factors. HGF revealed the highest diagnostic capability, and EGF predicted favorable prognosis among the tested molecules.
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spelling pubmed-67548722019-10-03 Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors Jekarl, Dong Wook Kim, Ji Yeon Ha, Jick Hwan Lee, Seungok Yoo, Jaeeun Kim, Myungshin Kim, Yonggoo Dis Markers Research Article The focus of sepsis has shifted from inflammation to organ dysfunction on the basis of a recent definition based on the sequential organ failure score (SOFA). A diagnostic and prognostic marker is necessary under this definition but is currently unknown. We enrolled 80 sepsis patients consecutively admitted to an intensive care unit through the emergency department and 80 healthy control patients who received routine health check-ups from August 2018 to January 2019. SEPSIS-3 criteria were used for the diagnosis of patients based on SOFA score ≥ 2 from the baseline along with evidence of infection. Concentrations of 28 cytokines, eight chemokines, and nine growth factors were measured on the day of diagnosis. Hierarchical cluster analysis was performed for molecules. The majority of infections were pneumonia (45% of patients) and urinary tract infections (40% of patients). Most of the measured molecules were increased in patients with sepsis. Area under receiver operating characteristic curve (AUROC) values were found to be as follows: hepatic growth factor (HGF), 0.899; interleukin-1 receptor antagonist (IL-1RA), 0.893; C-C motif ligand 5 (CCL5) 5, 0.887; C-X-C motif chemokine 10 (CXCL10), 0.851; CCL2, 0.840; and IL-6, 0.830. IL-1RA, IL-6, IL-8, IL-15, and CCL11 concentrations correlated with SOFA score with statistical significance. Prognosis multivariate analysis revealed an odds ratio of 0.968 for epidermal growth factor (EGF). Three clusters were formed, of which Clusters 2 and 3 were associated with nonsurvivors. Diagnosis of sepsis was performed using cytokines, chemokines, and growth factors. HGF revealed the highest diagnostic capability, and EGF predicted favorable prognosis among the tested molecules. Hindawi 2019-09-08 /pmc/articles/PMC6754872/ /pubmed/31583025 http://dx.doi.org/10.1155/2019/1089107 Text en Copyright © 2019 Dong Wook Jekarl et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jekarl, Dong Wook
Kim, Ji Yeon
Ha, Jick Hwan
Lee, Seungok
Yoo, Jaeeun
Kim, Myungshin
Kim, Yonggoo
Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors
title Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors
title_full Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors
title_fullStr Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors
title_full_unstemmed Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors
title_short Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors
title_sort diagnosis and prognosis of sepsis based on use of cytokines, chemokines, and growth factors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6754872/
https://www.ncbi.nlm.nih.gov/pubmed/31583025
http://dx.doi.org/10.1155/2019/1089107
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