Journal
CRITICAL CARE
Volume 26, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s13054-021-03862-5
Keywords
Biomarker; Systemic inflammatory response; Sepsis; Septic shock; Sepsis-associated encephalopathy
Categories
Funding
- Alzheimer's Association [AARGDNTF-19-619645]
- U.S. National Institute of Health/National Institute on Aging (NIH/NIA) [1RF1AG072491-01]
- MCTIC/CNPq/FNDCT/MS/SCTIE [401263/2020-7]
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A biomarker is a measurable indicator of a patient's clinical condition that can be measured accurately and reproducibly. In sepsis patients, there are various biomarkers such as PRMs, complement system, and cytokines. However, further research is needed to identify the optimal combinations of biomarkers.
A biomarker describes a measurable indicator of a patient's clinical condition that can be measured accurately and reproducibly. Biomarkers offer utility for diagnosis, prognosis, early disease recognition, risk stratification, appropriate treatment (theranostics), and trial enrichment for patients with sepsis or suspected sepsis. In this narrative review, we aim to answer the question, Do biomarkers in patients with sepsis or septic shock predict mortality, multiple organ dysfunction syndrome (MODS), or organ dysfunction? We also discuss the role of pro- and anti-inflammatory biomarkers and biomarkers associated with intestinal permeability, endothelial injury, organ dysfunction, blood-brain barrier (BBB) breakdown, brain injury, and short and long-term mortality. For sepsis, a range of biomarkers is identified, including fluid phase pattern recognition molecules (PRMs), complement system, cytokines, chemokines, damage-associated molecular patterns (DAMPs), non-coding RNAs, miRNAs, cell membrane receptors, cell proteins, metabolites, and soluble receptors. We also provide an overview of immune response biomarkers that can help identify or differentiate between systemic inflammatory response syndrome (SIRS), sepsis, septic shock, and sepsis-associated encephalopathy. However, significant work is needed to identify the optimal combinations of biomarkers that can augment diagnosis, treatment, and good patient outcomes.
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