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New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study

INTRODUCTION: Inflammation and coagulation are closely interrelated pathophysiologic processes in the pathogenesis of sepsis. However, the diagnostic criteria of sepsis and disseminated intravascular coagulation (DIC) are different. This study aimed to define a biomarker panel to predict sepsis-indu...

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Autores principales: Ishikura, Hiroyasu, Nishida, Takeshi, Murai, Akira, Nakamura, Yoshihiko, Irie, Yuhei, Tanaka, Junichi, Umemura, Takehiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057424/
https://www.ncbi.nlm.nih.gov/pubmed/24443891
http://dx.doi.org/10.1186/cc13700
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author Ishikura, Hiroyasu
Nishida, Takeshi
Murai, Akira
Nakamura, Yoshihiko
Irie, Yuhei
Tanaka, Junichi
Umemura, Takehiro
author_facet Ishikura, Hiroyasu
Nishida, Takeshi
Murai, Akira
Nakamura, Yoshihiko
Irie, Yuhei
Tanaka, Junichi
Umemura, Takehiro
author_sort Ishikura, Hiroyasu
collection PubMed
description INTRODUCTION: Inflammation and coagulation are closely interrelated pathophysiologic processes in the pathogenesis of sepsis. However, the diagnostic criteria of sepsis and disseminated intravascular coagulation (DIC) are different. This study aimed to define a biomarker panel to predict sepsis-induced DIC in emergency department patients. METHODS: Eighty-two patients who were admitted to the emergency department of a tertiary university hospital were included in this study. The inclusion criteria were as follows: (1) age >18 years; (2) ≥1 systemic inflammatory response syndrome (SIRS) criteria. Patients were excluded if they lacked biomarker data or apparent clinical manifestations. Eleven biomarkers were assayed from blood drawn on ED admission. Receiver operating curve (ROC) analysis including the area under the ROC and multivariable logistic regression were used to identify an optimal combination of biomarkers to create a diagnostic panel. The derived formula for weighting biomarker values was used to determine the severity of sepsis-induced DIC, which was divided into three categories: mild, moderate, and severe. We also investigated the ability of this classification to predict secondary outcome measures of rates of sepsis and DIC, DIC score, acute physiology and chronic health evaluation (APACHE) II score, sequential organ failure score (SOFA) score, and 28-day all-cause mortality. RESULTS: Among the 11 biomarkers tested, the optimal 2-marker panel comprised presepsin and protein C. The area under the curve for the accuracies of predicting sepsis and DIC from these two biomarkers were 0.913 and 0.880, respectively. When patients were divided according to the severity of sepsis-induced DIC, all secondary outcomes except for mortality were significantly higher depending on the severity (P < .0001). The overall mortality rates of mild, moderate, and severe sepsis-induced DIC were 7.14%, 15.4%, and 28.6%, respectively (P = .0994). CONCLUSIONS: A biomarker panel of presepsin and protein C is predictive of the severity of sepsis-induced DIC in suspected ED patients. These criteria for sepsis-induced DIC are very simple, easy to implement, and can be used in intensive care units as a point-of-care test.
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spelling pubmed-40574242014-06-15 New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study Ishikura, Hiroyasu Nishida, Takeshi Murai, Akira Nakamura, Yoshihiko Irie, Yuhei Tanaka, Junichi Umemura, Takehiro Crit Care Research INTRODUCTION: Inflammation and coagulation are closely interrelated pathophysiologic processes in the pathogenesis of sepsis. However, the diagnostic criteria of sepsis and disseminated intravascular coagulation (DIC) are different. This study aimed to define a biomarker panel to predict sepsis-induced DIC in emergency department patients. METHODS: Eighty-two patients who were admitted to the emergency department of a tertiary university hospital were included in this study. The inclusion criteria were as follows: (1) age >18 years; (2) ≥1 systemic inflammatory response syndrome (SIRS) criteria. Patients were excluded if they lacked biomarker data or apparent clinical manifestations. Eleven biomarkers were assayed from blood drawn on ED admission. Receiver operating curve (ROC) analysis including the area under the ROC and multivariable logistic regression were used to identify an optimal combination of biomarkers to create a diagnostic panel. The derived formula for weighting biomarker values was used to determine the severity of sepsis-induced DIC, which was divided into three categories: mild, moderate, and severe. We also investigated the ability of this classification to predict secondary outcome measures of rates of sepsis and DIC, DIC score, acute physiology and chronic health evaluation (APACHE) II score, sequential organ failure score (SOFA) score, and 28-day all-cause mortality. RESULTS: Among the 11 biomarkers tested, the optimal 2-marker panel comprised presepsin and protein C. The area under the curve for the accuracies of predicting sepsis and DIC from these two biomarkers were 0.913 and 0.880, respectively. When patients were divided according to the severity of sepsis-induced DIC, all secondary outcomes except for mortality were significantly higher depending on the severity (P < .0001). The overall mortality rates of mild, moderate, and severe sepsis-induced DIC were 7.14%, 15.4%, and 28.6%, respectively (P = .0994). CONCLUSIONS: A biomarker panel of presepsin and protein C is predictive of the severity of sepsis-induced DIC in suspected ED patients. These criteria for sepsis-induced DIC are very simple, easy to implement, and can be used in intensive care units as a point-of-care test. BioMed Central 2014-01-20 2014 /pmc/articles/PMC4057424/ /pubmed/24443891 http://dx.doi.org/10.1186/cc13700 Text en © Ishikura et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Ishikura, Hiroyasu
Nishida, Takeshi
Murai, Akira
Nakamura, Yoshihiko
Irie, Yuhei
Tanaka, Junichi
Umemura, Takehiro
New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study
title New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study
title_full New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study
title_fullStr New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study
title_full_unstemmed New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study
title_short New diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study
title_sort new diagnostic strategy for sepsis-induced disseminated intravascular coagulation: a prospective single-center observational study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057424/
https://www.ncbi.nlm.nih.gov/pubmed/24443891
http://dx.doi.org/10.1186/cc13700
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