Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation

Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation

Abstract Background Sepsis is a leading cause of death in intensive care units (ICUs), but outcomes of individual patients are difficult to predict. The recently developed clinical metabolomics has been recognized as a promising tool in the clinical practice of critical illness. The objective of thi...

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Bibliographic Details
Main Authors: Jing Wang, Yizhu Sun, Shengnan Teng, Kefeng Li
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medicine
Subjects:
Sepsis
Metabolomics
Blood
Prediction
Outcome
Death-related metabolic pathways
Online Access:http://link.springer.com/article/10.1186/s12916-020-01546-5

Internet

http://link.springer.com/article/10.1186/s12916-020-01546-5

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