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Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units

Early identification of infection severity and organ dysfunction is crucial in improving outcomes of patients with sepsis. We aimed to develop a new combination of blood-based biomarkers that can early predict 28-day mortality in patients with sepsis or septic shock. We enrolled 66 patients with sep...

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Autores principales: Liu, Junkun, Bai, Chengwen, Li, Binbin, Shan, Aijun, Shi, Fei, Yao, Can, Zhang, Yu, Wang, Jin, Chen, Weibu, Xie, Manying, Deng, Dehui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809407/
https://www.ncbi.nlm.nih.gov/pubmed/33446739
http://dx.doi.org/10.1038/s41598-020-79843-5
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author Liu, Junkun
Bai, Chengwen
Li, Binbin
Shan, Aijun
Shi, Fei
Yao, Can
Zhang, Yu
Wang, Jin
Chen, Weibu
Xie, Manying
Deng, Dehui
author_facet Liu, Junkun
Bai, Chengwen
Li, Binbin
Shan, Aijun
Shi, Fei
Yao, Can
Zhang, Yu
Wang, Jin
Chen, Weibu
Xie, Manying
Deng, Dehui
author_sort Liu, Junkun
collection PubMed
description Early identification of infection severity and organ dysfunction is crucial in improving outcomes of patients with sepsis. We aimed to develop a new combination of blood-based biomarkers that can early predict 28-day mortality in patients with sepsis or septic shock. We enrolled 66 patients with sepsis or septic shock and compared 14 blood-based biomarkers in the first 24 h after ICU admission. The serum levels of interleukin-6 (IL-6) (median 217.6 vs. 4809.0 pg/ml, P = 0.001), lactate (median 2.4 vs. 6.3 mmol/L, P = 0.014), N-terminal prohormone of brain natriuretic peptide (NT-proBNP) (median 1596.5 vs. 32,905.3 ng/ml, P < 0.001), prothrombin time (PT) (median 15.6 vs. 20.1 s, P = 0.030), activated partial thrombin time (APTT) (median 45.1 vs. 59.0 s, P = 0.026), and international normalized ratio (INR) (median 1.3 vs. 1.8, P < 0.001) were significantly lower in the survivor group. IL-6, NT-proBNP, and INR provided the best individual performance in predicting 28-day mortality of patients with sepsis or septic shock. Furthermore, the combination of these three biomarkers achieved better predictive performance (AUC 0.890, P < 0.001) than conventional scoring systems. In summary, the combination of IL-6, NT-proBNP, and INR may serve as a potential predictor of 28-day mortality in critically ill patients with sepsis or septic shock.
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spelling pubmed-78094072021-01-15 Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units Liu, Junkun Bai, Chengwen Li, Binbin Shan, Aijun Shi, Fei Yao, Can Zhang, Yu Wang, Jin Chen, Weibu Xie, Manying Deng, Dehui Sci Rep Article Early identification of infection severity and organ dysfunction is crucial in improving outcomes of patients with sepsis. We aimed to develop a new combination of blood-based biomarkers that can early predict 28-day mortality in patients with sepsis or septic shock. We enrolled 66 patients with sepsis or septic shock and compared 14 blood-based biomarkers in the first 24 h after ICU admission. The serum levels of interleukin-6 (IL-6) (median 217.6 vs. 4809.0 pg/ml, P = 0.001), lactate (median 2.4 vs. 6.3 mmol/L, P = 0.014), N-terminal prohormone of brain natriuretic peptide (NT-proBNP) (median 1596.5 vs. 32,905.3 ng/ml, P < 0.001), prothrombin time (PT) (median 15.6 vs. 20.1 s, P = 0.030), activated partial thrombin time (APTT) (median 45.1 vs. 59.0 s, P = 0.026), and international normalized ratio (INR) (median 1.3 vs. 1.8, P < 0.001) were significantly lower in the survivor group. IL-6, NT-proBNP, and INR provided the best individual performance in predicting 28-day mortality of patients with sepsis or septic shock. Furthermore, the combination of these three biomarkers achieved better predictive performance (AUC 0.890, P < 0.001) than conventional scoring systems. In summary, the combination of IL-6, NT-proBNP, and INR may serve as a potential predictor of 28-day mortality in critically ill patients with sepsis or septic shock. Nature Publishing Group UK 2021-01-14 /pmc/articles/PMC7809407/ /pubmed/33446739 http://dx.doi.org/10.1038/s41598-020-79843-5 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liu, Junkun
Bai, Chengwen
Li, Binbin
Shan, Aijun
Shi, Fei
Yao, Can
Zhang, Yu
Wang, Jin
Chen, Weibu
Xie, Manying
Deng, Dehui
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
title Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
title_full Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
title_fullStr Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
title_full_unstemmed Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
title_short Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
title_sort mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809407/
https://www.ncbi.nlm.nih.gov/pubmed/33446739
http://dx.doi.org/10.1038/s41598-020-79843-5
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