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

Abstract 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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Junkun Liu, Chengwen Bai, Binbin Li, Aijun Shan, Fei Shi, Can Yao, Yu Zhang, Jin Wang, Weibu Chen, Manying Xie, Dehui Deng
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/c0ee805e8b1c4aa491821bbfbfc32d54
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c0ee805e8b1c4aa491821bbfbfc32d54
record_format dspace
spelling oai:doaj.org-article:c0ee805e8b1c4aa491821bbfbfc32d542021-12-02T15:22:56ZMortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units10.1038/s41598-020-79843-52045-2322https://doaj.org/article/c0ee805e8b1c4aa491821bbfbfc32d542021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79843-5https://doaj.org/toc/2045-2322Abstract 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.Junkun LiuChengwen BaiBinbin LiAijun ShanFei ShiCan YaoYu ZhangJin WangWeibu ChenManying XieDehui DengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Junkun Liu
Chengwen Bai
Binbin Li
Aijun Shan
Fei Shi
Can Yao
Yu Zhang
Jin Wang
Weibu Chen
Manying Xie
Dehui Deng
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
description Abstract 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.
format article
author Junkun Liu
Chengwen Bai
Binbin Li
Aijun Shan
Fei Shi
Can Yao
Yu Zhang
Jin Wang
Weibu Chen
Manying Xie
Dehui Deng
author_facet Junkun Liu
Chengwen Bai
Binbin Li
Aijun Shan
Fei Shi
Can Yao
Yu Zhang
Jin Wang
Weibu Chen
Manying Xie
Dehui Deng
author_sort Junkun Liu
title 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_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_sort mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c0ee805e8b1c4aa491821bbfbfc32d54
work_keys_str_mv AT junkunliu mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT chengwenbai mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT binbinli mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT aijunshan mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT feishi mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT canyao mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT yuzhang mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT jinwang mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT weibuchen mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT manyingxie mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
AT dehuideng mortalitypredictionusinganovelcombinationofbiomarkersinthefirstdayofsepsisinintensivecareunits
_version_ 1718387399584645120