南方科技大学知识苑(SUSTech KC): Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units

题名	Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
作者	Liu, Junkun 2; Bai, Chengwen 1; Li, Binbin 1; Shan, Aijun 1; Shi, Fei 1; Yao, Can 1; Zhang, Yu 1 ; Wang, Jin 1 ; Chen, Weibu 3; Xie, Manying 1; Deng, Dehui 3
通讯作者	Shan, Aijun
发表日期	2021-01-14
DOI	10.1038/s41598-020-79843-5
发表期刊	Scientific Reports 影响因子和分区
ISSN	2045-2322
卷号	11 期号:1
摘要	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.
相关链接	[来源记录]
收录类别	SCI
语种	英语
学校署名	通讯
资助项目	Science and Technology Planning Project of Guangdong Province, China[2016A020215025] ; Natural Science Foundation of Guangdong Province, China[2020A151501040] ; Scientific Research and Cultivation Project of Shenzhen People's Hospital[SYKYPY201912]
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000626770200011
出版者	NATURE RESEARCH
来源库	Web of Science
引用统计	被引频次[WOS]：21
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/226001
专题	南方科技大学第一附属医院
作者单位	1.Jinan Univ, Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen Peoples Hosp,Clin Med Coll 2,Emergency D, Shenzhen, Guangdong, Peoples R China 2.Cent South Univ, Xiangya Med Coll, Dermatol Dept, Changsha, Hunan, Peoples R China 3.Jinan Univ, Southern Univ Sci & Technol, Shenzhen Peoples Hosp, Affiliated Hosp 1,Clin Med Coll 2,Lab Dept, Shenzhen, Guangdong, Peoples R China
通讯作者单位	南方科技大学第一附属医院
推荐引用方式 GB/T 7714	Liu, Junkun,Bai, Chengwen,Li, Binbin,et al. Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units[J]. Scientific Reports,2021,11(1).
APA	Liu, Junkun.,Bai, Chengwen.,Li, Binbin.,Shan, Aijun.,Shi, Fei.,...&Deng, Dehui.(2021).Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units.Scientific Reports,11(1).
MLA	Liu, Junkun,et al."Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units".Scientific Reports 11.1(2021).