Literature DB >> 10608545

Comparison of clinical, radiologic, and serum marker as prognostic factors after severe head injury.

C Woertgen1, R D Rothoerl, C Metz, A Brawanski.   

Abstract

BACKGROUND: S-1OOB, a protein of astroglial cells, is described as a marker for neuronal damage. Reliable outcome prediction from severe head injury is still unresolved. Clinical scores such as the Glasgow Coma Scale score (GCS) and diagnostic scores such as the Marshall Computed Tomographic Classification are well established and investigated, but there are still some concerns about these tools. The aim of this study was to investigate the predictive value of the initial serum level of S-100B compared with the predictive value of the GCS score and the Marshall Computed Tomographic Classification to outcome after severe head injury.
METHODS: Forty-four patients with severe head injury (GCS score < 9) were included. Blood samples were drawn within 1 to 6 hours of injury. After a period of 11 months, their outcome was correlated by using the Glasgow Outcome Scale. Patients with an S-100B serum level above 2 microg/L, a GCS score between 3 and 5, and a computed tomographic scan in the categories 4 to 6 are predicted to have an unfavorable outcome. The predictive values of these tools were calculated according to these definitions.
RESULTS: The protein S-100B had with 17% the lowest total misclassification rate. When compared with the GCS score and Marshall Computed Tomographic Classification the S-100B serum level calculated on admission had the highest positive predictive value (87%) and negative predictive value (77%).
CONCLUSION: The serum level of S-100B calculated within 1 to 6 hours of a severe head injury is a useful additional outcome predictor.

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Year:  1999        PMID: 10608545     DOI: 10.1097/00005373-199912000-00026

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  22 in total

Review 1.  [Neuromonitoring with S-100 protein in the intensive care unit].

Authors:  M Fries; J Bickenbach; S Beckers; D Henzler; R Rossaint; R Kuhlen
Journal:  Anaesthesist       Date:  2004-10       Impact factor: 1.041

Review 2.  Predictive biomarkers of recovery in traumatic brain injury.

Authors:  Sabrina Giacoppo; Placido Bramanti; Marina Barresi; Debora Celi; Valeria Foti Cuzzola; Eleonora Palella; Silvia Marino
Journal:  Neurocrit Care       Date:  2012-06       Impact factor: 3.210

Review 3.  Blood-based diagnostics of traumatic brain injuries.

Authors:  Stefania Mondello; Uwe Muller; Andreas Jeromin; Jackson Streeter; Ronald L Hayes; Kevin K W Wang
Journal:  Expert Rev Mol Diagn       Date:  2011-01       Impact factor: 5.225

4.  Serum S-100B protein monitoring in patients with severe traumatic brain injury.

Authors:  Stefanos Korfias; George Stranjalis; Efstathios Boviatsis; Christina Psachoulia; Gerard Jullien; Barbara Gregson; A David Mendelow; Damianos E Sakas
Journal:  Intensive Care Med       Date:  2006-12-02       Impact factor: 17.440

5.  Serum neuron-specific enolase as a predictor of short-term outcome and its correlation with Glasgow Coma Scale in traumatic brain injury.

Authors:  Aslan Guzel; Uygur Er; Mehmet Tatli; Ufuk Aluclu; Umit Ozkan; Yucel Duzenli; Omer Satici; Ebru Guzel; Serdar Kemaloglu; Adnan Ceviz; Abdurrahman Kaplan
Journal:  Neurosurg Rev       Date:  2008-06-17       Impact factor: 3.042

Review 6.  Clinical applications of biomarkers in pediatric traumatic brain injury.

Authors:  Simon J I Sandler; Anthony A Figaji; P David Adelson
Journal:  Childs Nerv Syst       Date:  2009-11-10       Impact factor: 1.475

7.  The potential utility of blood-derived biochemical markers as indicators of early clinical trends following severe traumatic brain injury.

Authors:  Michael V DeFazio; Richard A Rammo; Jaime R Robles; Helen M Bramlett; W Dalton Dietrich; M Ross Bullock
Journal:  World Neurosurg       Date:  2013-01-08       Impact factor: 2.104

8.  A novel, ultrasensitive assay for tau: potential for assessing traumatic brain injury in tissues and biofluids.

Authors:  Richard Rubenstein; Binggong Chang; Peter Davies; Amy K Wagner; Claudia S Robertson; Kevin K W Wang
Journal:  J Neurotrauma       Date:  2014-12-23       Impact factor: 5.269

Review 9.  Blood biomarkers for brain injury: What are we measuring?

Authors:  Keisuke Kawata; Charles Y Liu; Steven F Merkel; Servio H Ramirez; Ryan T Tierney; Dianne Langford
Journal:  Neurosci Biobehav Rev       Date:  2016-05-12       Impact factor: 8.989

10.  Biomarkers in the clinical diagnosis and management of traumatic brain injury.

Authors:  Georgene W Hergenroeder; John B Redell; Anthony N Moore; Pramod K Dash
Journal:  Mol Diagn Ther       Date:  2008       Impact factor: 4.074

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