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...
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2021
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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) |
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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 |
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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 |
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