
Fast and appropriate therapy is the cornerstone in the therapy of sepsis. However, the discrimination of sepsis from non-infectious causes of inflammation may be difficult. Biomarkers have been suggested to aid physicians in this decision. There is currently no biochemical technique available which alone allows a rapid and reliable discrimination between sepsis and non-infectious inflammation. Procalcitonin (PCT) is currently the most investigated biomarker for this purpose. C-reactive protein and interleukin 6 perform inferior to PCT in most studies and their value in diagnosing sepsis is not defined. All biomarkers including PCT are also released after various non-infectious inflammatory impacts. This shortcoming needs to be taken into account when biomarkers are used to aid the physician in the diagnosis of sepsis. Polymerase chain reaction (PCR) based pathogen detection may improve time to adequate therapy but cannot rule out the presence of infection when negative.
Calcitonin, Membrane Glycoproteins, Interleukin-6, Calcitonin Gene-Related Peptide, Lipopolysaccharide-Binding Protein, Review, Polymerase Chain Reaction, Triggering Receptor Expressed on Myeloid Cells-1, Receptors, Urokinase Plasminogen Activator, C-Reactive Protein, Sepsis, Humans, Protein Precursors, Receptors, Immunologic, Carrier Proteins, Biomarkers, Acute-Phase Proteins
Calcitonin, Membrane Glycoproteins, Interleukin-6, Calcitonin Gene-Related Peptide, Lipopolysaccharide-Binding Protein, Review, Polymerase Chain Reaction, Triggering Receptor Expressed on Myeloid Cells-1, Receptors, Urokinase Plasminogen Activator, C-Reactive Protein, Sepsis, Humans, Protein Precursors, Receptors, Immunologic, Carrier Proteins, Biomarkers, Acute-Phase Proteins
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 138 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
