The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Elevated serum levels of S-100β protein and neuron-specific enolase are associated with brain injury in patients with severe sepsis and septic shock*
Abstract
OBJECTIVE: We investigated whether serum levels of neuron-specific enolase (NSE) and S-100beta protein could be used to evaluate cerebral injury and to predict outcome in severe sepsis and severe septic shock. DESIGN: Prospective study. SETTING: University hospital. PATIENTS AND MEASUREMENTS: In 170 consecutively enrolled patients with severe sepsis and septic shock, serum S-100beta and NSE were measured daily during four consecutive days after intensive care unit admission. Admission Glasgow Coma Scale before sedation and daily Sequential Organ Failure Assessment scores were recorded in all patients. Acute encephalopathy was defined as either a state of agitation, confusion, irritability, and convulsions (type A) or characterized by somnolence, stupor, and coma (type B) and persistently observed during 72 hrs after withdrawing sedation. When clinically indicated, contrast computed tomography or magnetic resonance imaging were performed to evaluate brain injury. MAIN RESULTS: S-100beta and NSE increased in, respectively, 72 (42%) and 90 (53%) patients. High biomarker levels were associated with the maximum Sequential Organ Failure Assessment scores (p = .001), and the highest values were found in patients who died early, within 4 days of inclusion (p = .005). Low consciousness encephalopathy type B was more frequently observed in patients with elevated S-100beta (p = .004). S-100beta levels of >or=4 microg/L were associated with severe brain ischemia or hemorrhage, and values of <2 microg/L were found in patients with diffuse cerebral embolic infarction lesions. High S-100beta levels were associated with higher intensive care unit mortality (p = .04) and represented the strongest independent predictor of intensive care unit survival, whereas NSE and the Glasgow Coma Scale failed to predict fatal outcome. CONCLUSIONS: S-100beta and NSE are frequently increased and associated with brain injury in patients with severe sepsis and septic shock. S-100beta levels more closely reflected severe encephalopathy and type of brain lesions than NSE and the Glasgow Coma Scale.
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Cites
Donato, R. (2001) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/s1357-2725(01)00046-2 · Cited by 1,580
Cited by
Pierrakos, C., & Vincent, J.-L. (2010) · Critical Care · doi:10.1186/cc8872 · Cited by 1,377
Sepsis-associated encephalopathy
Gofton, T. E., & Young, G. B. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.183 · Cited by 821
The neuroinflammatory hypothesis of delirium
Cerejeira, J., Firmino, H., Vaz-Serra, A., & Mukaetova-Ladinska, E. B. (2010) · Acta Neuropathologica · doi:10.1007/s00401-010-0674-1 · Cited by 472
Cerebral dysfunctions caused by sepsis during ageing
Manabe, T., & Heneka, M. T. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-021-00643-7 · Cited by 191
Endotoxemia-induced inflammation and the effect on the human brain
van den Boogaard, M., Ramakers, B. P., van Alfen, N., van der Werf, S. P., Fick, W. F., Hoedemaekers, C. W., Verbeek, M. M., Schoonhoven, L., van der Hoeven, J. G., & Pickkers, P. (2010) · Critical Care · doi:10.1186/cc9001 · Cited by 84
Metadata
- Authors
- Nguyen, D. N., Spapen, H., Su, F., Schiettecatte, J., Shi, L., Hachimi-Idrissi, S., & Huyghens, L.
- Venue
- Critical Care Medicine
- Published
- 2006-07
- Volume
- 34
- Issue
- 7
- Pages
- 1967-1974
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W2057838949
- Cited by
- 210
- References
- 1
- FWCI
- 9.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Nguyen, D. N., Spapen, H., Su, F., Schiettecatte, J., Shi, L., Hachimi-Idrissi, S., & Huyghens, L. (2006). Elevated serum levels of S-100β protein and neuron-specific enolase are associated with brain injury in patients with severe sepsis and septic shock*. Critical Care Medicine. https://doi.org/10.1097/01.ccm.0000217218.51381.49
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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