Comparison of several prognostic tools in traumatic brain injury including S100B

References

• Steyerberg EW, Mushkudiani N, Perel P, Butcher I, Lu J, McHugh GS, Murray GD, Marmarou A, Roberts I, Habbema JD, et al. Predicting outcome after traumatic brain injury: Development and international validation of prognostic scores based on admission characteristics. PLoS Medicine 2008;5:e165; discussion e165
   PubMed Web of Science ®Google Scholar
• Walder AD, Yeoman PM, Turnbull A. The abbreviated injury scale as a predictor of outcome of severe head injury. Intensive Care Medicine 1995;21:606–609
   PubMed Web of Science ®Google Scholar
• Perel P, Arango M, Clayton T, Edwards P, Komolafe E, Poccock S, Roberts I, Shakur H, Steyerberg E, Yutthakasemsunt S. Predicting outcome after traumatic brain injury: Practical prognostic models based on large cohort of international patients. British Medical Journal (Clinical Research Edition) 2008;336:425–429
   PubMed Web of Science ®Google Scholar
• The Trauma Audit and Research Network. Manchester, UK: The Trauma Audit and Research Network (TARN). Available online at: http://www.tarn.ac.uk/, accessed 17 February 2012
   Google Scholar
• Lesko MM, Jenks T, Perel P, O'Brien S, Childs C, Bouamra O, Lecky F. Models of mortality probability in severe traumatic brain injury: Results of the modelling by the UK Trauma Registry. Journal of Neurotrauma 2013;30(12):2778--2779
   Web of Science ®Google Scholar
• Qureshi AI. Evaluation of brain injury using a blood test: Is there a role in clinical practice? Critical Care Medicine 2002;30:2778–2779
   PubMed Web of Science ®Google Scholar
• Donato R. S100: A multigenic family of calcium-modulated proteins of the EF-hand type with intracellular and extracellular functional roles. International Journal of Biochemistry & Cell Biology 2001;33:637–668
   PubMed Web of Science ®Google Scholar
• Stalnacke BM, Bjornstig U, Karlsson K, Sojka P. One-year follow-up of mild traumatic brain injury: Post-concussion symptoms, disabilities and life satisfaction in relation to serum levels of S-100B and neurone-specific enolase in acute phase. Journal of Rehabilitation Medicine 2005;37:300–305
   PubMed Web of Science ®Google Scholar
• Savola O, Hillbom M. Early predictors of post-concussion symptoms in patients with mild head injury. European Journal of Neurology 2003;10:175–181
   PubMed Web of Science ®Google Scholar
• Townend WJ, Guy MJ, Pani MA, Martin B, Yates DW. Head injury outcome prediction in the emergency department: A role for protein S-100B? Journal of Neurology, Neurosurgery & Psychiatry 2002;73:542–546
   PubMed Web of Science ®Google Scholar
• Vos PE, Lamers KJ, Hendriks JC, van Haaren M, Beems T, Zimmerman C, van Geel W, de Reus H, Biert J, Verbeek MM. Glial and neuronal proteins in serum predict outcome after severe traumatic brain injury. Neurology 2004;62:1303–1310
   PubMed Web of Science ®Google Scholar
• Rainey T, Lesko M, Sacho R, Lecky F, Childs C. Predicting outcome after severe traumatic brain injury using the serum S100B biomarker: Results using a single (24 h) time-point. Resuscitation 2009;80:341–345
   PubMed Web of Science ®Google Scholar
• Chatfield DA, Zemlan FP, Day DJ, Menon DK. Discordant temporal patterns of S100beta and cleaved tau protein elevation after head injury: A pilot study. British Journal of Neurosurgery 2002;16:471–476
   PubMed Web of Science ®Google Scholar
• Mussack T, Biberthaler P, Kanz KG, Wiedemann E, Gippner-Steppert C, Mutschler W, Jochum M. Serum S-100B and interleukin-8 as predictive markers for comparative neurologic outcome analysis of patients after cardiac arrest and severe traumatic brain injury. Critical Care Medicine 2002;30:2669–2674
   PubMed Web of Science ®Google Scholar
• Dimopoulou I, Korfias S, Dafni U, Anthi A, Psachoulia C, Jullien G, Sakas DE, Roussos C. Protein S-100b serum levels in trauma-induced brain death. Neurology 2003;60:947–951
   PubMed Web of Science ®Google Scholar
• Herrmann M, Curio N, Jost S, Grubich C, Ebert AD, Fork ML, Synowitz H. Release of biochemical markers of damage to neuronal and glial brain tissue is associated with short and long term neuropsychological outcome after traumatic brain injury. Journal of Neurology, Neurosurgery & Psychiatry 2001;70:95–100
   PubMed Web of Science ®Google Scholar
• Spinella PC, Dominguez T, Drott HR, Huh J, McCormick L, Rajendra A, Argon J, McIntosh T, Helfaer M. S-100beta protein-serum levels in healthy children and its association with outcome in pediatric traumatic brain injury. Critical Care Medicine 2003;31:939–945
   PubMed Web of Science ®Google Scholar
• Ingebrigtsen T, Waterloo K, Jacobsen EA, Langbakk B, Romner B. Traumatic brain damage in minor head injury: Relation of serum S-100 protein measurements to magnetic resonance imaging and neurobehavioral outcome. Neurosurgery 1999;45:468–475; discussion 475–466
   PubMed Web of Science ®Google Scholar
• Mercier E, Boutin A, Lauzier F, Fergusson DA, Simard JF, Zarychanski R, Moore L, McIntyre LA, Archambault P, Lamontagne F, et al. Predictive value of S-100beta protein for prognosis in patients with moderate and severe traumatic brain injury: Systematic review and meta-analysis. British Medical Journal (Clinical Research Edition) 2013;346:f1757
   PubMed Web of Science ®Google Scholar
• Gradisek P, Osredkar J, Korsic M, Kremzar B. Multiple indicators model of long-term mortality in traumatic brain injury. Brain Injury 2012;26:1472–1481
   PubMed Web of Science ®Google Scholar
• Goyal A, Failla MD, Niyonkuru C, Amin K, Fabio A, Berger RP, Wagner AK. S100b as a prognostic biomarker in outcome prediction for patients with severe traumatic brain injury. Journal of Neurotrauma 2013;30:946–957
   PubMed Web of Science ®Google Scholar
• Woertgen C, Rothoerl RD, Metz C, Brawanski A. Comparison of clinical, radiologic, and serum marker as prognostic factors after severe head injury. The Journal of Trauma 1999;47:1126–1130
   PubMed Web of Science ®Google Scholar
• Pelinka LE, Toegel E, Mauritz W, Redl H. Serum S 100 B: A marker of brain damage in traumatic brain injury with and without multiple trauma. Shock 2003;19:195–200
   PubMed Web of Science ®Google Scholar
• Steyerberg EW, Moons KGM, van der Windt DA, Hayden JA, Perel P, Schroter S, Riley RD, Hemingway H, Altman DG, for the PG. Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research. PLoS Medicine 2013;10:e1001381
   PubMed Web of Science ®Google Scholar
• Riley RD, Hayden JA, Steyerberg EW, Moons KGM, Abrams K, Kyzas PA, Malats N, Briggs A, Schroter S, Altman DG, et al. Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research. PLoS Medicine 2013;10:e1001380
   PubMed Web of Science ®Google Scholar
• Raj R, Siironen J, Kivisaari R, Hernesniemi J, Tanskanen P, Handolin L, Skrifvars MB. External validation of the international mission for prognosis and analysis of clinical trials model and the role of markers of coagulation. Neurosurgery 2013;73:305–311
   PubMed Web of Science ®Google Scholar
• Lingsma H, Andriessen TM, Haitsema I, Horn J, van der Naalt J, Franschman G, Maas AI, Vos PE, Steyerberg EW. Prognosis in moderate and severe traumatic brain injury: External validation of the IMPACT models and the role of extracranial injuries. The Journal of Trauma and Acute Care Surgery 2013;74:639–646
   PubMed Web of Science ®Google Scholar
• Panczykowski DM, Puccio AM, Scruggs BJ, Bauer JS, Hricik AJ, Beers SR, Okonkwo DO. Prospective independent validation of IMPACT modeling as a prognostic tool in severe traumatic brain injury. Journal of Neurotrauma 2012;29:47–52
   PubMed Web of Science ®Google Scholar
• Roozenbeek B, Lingsma HF, Lecky FE, Lu J, Weir J, Butcher I, McHugh GS, Murray GD, Perel P, Maas AI, et al. Prediction of outcome after moderate and severe traumatic brain injury: External validation of the International Mission on Prognosis and Analysis of Clinical Trials (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models. Critical Care Medicine 2012;40:1609–1617
   PubMed Web of Science ®Google Scholar
• Roozenbeek B, Chiu YL, Lingsma HF, Gerber LM, Steyerberg EW, Ghajar J, Maas AI. Predicting 14-day mortality after severe traumatic brain injury: Application of the IMPACT models in the brain trauma foundation TBI-trac(R) New York State database. Journal of Neurotrauma 2012;29:1306–1312
   PubMed Web of Science ®Google Scholar
• Maas AI, Steyerberg EW, Marmarou A, McHugh GS, Lingsma HF, Butcher I, Lu J, Weir J, Roozenbeek B, Murray GD. IMPACT recommendations for improving the design and analysis of clinical trials in moderate to severe traumatic brain injury. Neurotherapeutics: The Jjournal of the American Society for Experimental NeuroTherapeutics 2010;7:127–134
   PubMed Web of Science ®Google Scholar
• Turner EL, Perel P, Clayton T, Edwards P, Hernandez AV, Roberts I, Shakur H, Steyerberg EW. Covariate adjustment increased power in randomized controlled trials: An example in traumatic brain injury. Journal of Clinical Epidemiology 2012;65:474–481
   PubMed Web of Science ®Google Scholar
• Lingsma H, Roozenbeek B, Steyerberg E. Covariate adjustment increases statistical power in randomized controlled trials. Journal of Clinical Epidemiology 2010;63:1391; author reply 1392–1393
   PubMed Web of Science ®Google Scholar
• Weir J, Steyerberg EW, Butcher I, Lu J, Lingsma HF, McHugh GS, Roozenbeek B, Maas AI, Murray GD. Does the extended Glasgow Outcome Scale add value to the conventional Glasgow Outcome Scale? Journal of Neurotrauma 2012;29:53–58
   PubMed Web of Science ®Google Scholar
• Lingsma HF, Roozenbeek B, Perel P, Roberts I, Maas AI, Steyerberg EW. Between-centre differences and treatment effects in randomized controlled trials: A case study in traumatic brain injury. Trials 2011;12:201
   PubMed Web of Science ®Google Scholar
• Rodriguez-Rodriguez A, Egea-Guerrero JJ, Leon-Justel A, Gordillo-Escobar E, Revuelto-Rey J, Vilches-Arenas A, Carrillo-Vico A, Dominguez-Roldan JM, Murillo-Cabezas F, Guerrero JM. Role of S100B protein in urine and serum as an early predictor of mortality after severe traumatic brain injury in adults. Clinica Chimica Acta; International Journal of Clinical Chemistry 2012;414:228–233
   PubMed Web of Science ®Google Scholar
• Niyonkuru C, Wagner AK, Ozawa H, Amin K, Goyal A, Fabio A. Group-based trajectory analysis applications for prognostic biomarker model development in severe TBI: A practical example. Journal of Neurotrauma 2013;30:938–945
   PubMed Web of Science ®Google Scholar
• Thelin EP, Johannesson LK, Nelson DW, Bellander BM. S100B is an important outcome predictor in traumatic brain injury. Journal of Neurotrauma 2013;11(1):9--7
   Google Scholar
• Swets JA, Getty DJ, Pickett RM, D'Orsi CJ, Seltzer SE, McNeil BJ. Enhancing and evaluating diagnostic accuracy. Medical Decision Making 1991;11:9–17
   PubMed Web of Science ®Google Scholar
• Cancer Detection Section, Breast Expert Workshop. Early and locally advanced breast cancer: Diagnosis and treatment. United Kingdom: National Institue for Health and Clinical Excellence; 2009. p 12
   Google Scholar
• Workshop BE. Breast cancer diagnostic algorithms for primary care providers. In: Section C, editor. The United States of America: California Department of Public Health; 2011. p 5
   Google Scholar
• Nylen K, Ost M, Csajbok LZ, Nilsson I, Hall C, Blennow K, Nellgard B, Rosengren L. Serum levels of S100B, S100A1B and S100BB are all related to outcome after severe traumatic brain injury. Acta Neurochirurgica 2008;150:221–227; discussion 227
   PubMed Web of Science ®Google Scholar
• Murray GD, Butcher I, McHugh GS, Lu J, Mushkudiani NA, Maas AI, Marmarou A, Steyerberg EW. Multivariable prognostic analysis in traumatic brain injury: Results from the IMPACT study. Journal of Neurotrauma 2007;24:329–337
   PubMed Web of Science ®Google Scholar
• Maas AI, Steyerberg EW, Butcher I, Dammers R, Lu J, Marmarou A, Mushkudiani NA, McHugh GS, Murray GD. Prognostic value of computerized tomography scan characteristics in traumatic brain injury: Results from the IMPACT study. Journal of Neurotrauma 2007;24:303–314
   PubMed Web of Science ®Google Scholar
• Butcher I, Maas AI, Lu J, Marmarou A, Murray GD, Mushkudiani NA, McHugh GS, Steyerberg EW. Prognostic value of admission blood pressure in traumatic brain injury: Results from the IMPACT study. Journal of Neurotrauma 2007;24:294–302
   PubMed Web of Science ®Google Scholar
• McHugh GS, Engel DC, Butcher I, Steyerberg EW, Lu J, Mushkudiani N, Hernandez AV, Marmarou A, Maas AI, Murray GD. Prognostic value of secondary insults in traumatic brain injury: Results from the IMPACT study. Journal of Neurotrauma 2007;24:287–293
   PubMed Web of Science ®Google Scholar
• Van Beek JG, Mushkudiani NA, Steyerberg EW, Butcher I, McHugh GS, Lu J, Marmarou A, Murray GD, Maas AI. Prognostic value of admission laboratory parameters in traumatic brain injury: Results from the IMPACT study. Journal of Neurotrauma 2007;24:315–328
   PubMed Web of Science ®Google Scholar
• David W, Hosmer SL. Applied logistic regression. 2nd ed. The United States of America: Wiley-Interscience Publication; 2000
   Google Scholar
• Royston P, Ambler G, Sauerbrei W. The use of fractional polynomials to model continuous risk variables in epidemiology. Interntional Journal of Epidemiology 1999;28:964–974
   PubMed Web of Science ®Google Scholar
• Nagelkerke NJD. A note on a general definition of the coefficient of determination. Biometrika 1991;78:691–692
   Web of Science ®Google Scholar
• McMorran J, Crowther DC, McMorran S, Prince C, YoungMin S, Pleat J. General Practice Notebook- A UK medical reference on the world wide web. Anemia, UK: Oxbridge Solutions Ltd. Available online at: http://gpnotebook.com/simplepage.cfm?ID=1436155983, accessed 17 February 2012
   Google Scholar
• McMorran J, Crowther DC, McMorran S, Prince C, YoungMin S, Pleat J. General Practice Notebook- A UK medical reference on the word wide web. Hyperglycemia, UK: Oxbridge Solutions Ltd. Available online at: http://www.gpnotebook.co.uk/simplepage.cfm?ID=899285013, accessed 17 February 2012
   Google Scholar
• McMorran J, Crowther DC, McMorran S, Prince C, YoungMin S, Pleat J. General Practice Notebook- A UK medical reference on the word wide web. Hypoglycemia, UK: Oxbridge Solutions Ltd. Available online at: http://www.gpnotebook.co.uk/simplepage.cfm?ID=x20090122054239749131, accessed 17 February 2012
   Google Scholar
• Marshall LF, Marshall SB, Klauber MR, Clark MvB, Eisenberg HM, Jane JA, Luerssen TG, Marmarou A, Foulkes MA. A new classification of head injury based on computerized tomography. Special Supplements 1991;75(Suppl 1):S14–S20
   Google Scholar
• Olivecrona M, Rodling-Wahlstrom M, Naredi S, Koskinen LO. S-100B and neuron specific enolase are poor outcome predictors in severe traumatic brain injury treated by an intracranial pressure targeted therapy. Journal of Neurology, Neurosurgery & Psychiatry 2009;80:1241–1247
   PubMed Web of Science ®Google Scholar
• Bechtel K, Frasure S, Marshall C, Dziura J, Simpson C. Relationship of serum S100B levels and intracranial injury in children with closed head trauma. Pediatrics 2009;124:e697–704
   PubMed Web of Science ®Google Scholar
• Piazza O, Storti MP, Cotena S, Stoppa F, Perrotta D, Esposito G, Pirozzi N, Tufano R. S100B is not a reliable prognostic index in paediatric TBI. Pediatric Neurosurgery 2007;43:258–264
   PubMed Web of Science ®Google Scholar
• Bazarian JJ, Zemlan FP, Mookerjee S, Stigbrand T. Serum S-100B and cleaved-tau are poor predictors of long-term outcome after mild traumatic brain injury. Brain Injury 2006;20:759–765
   PubMed Web of Science ®Google Scholar
• Metting Z, Wilczak N, Rodiger LA, Schaaf JM, van der Naalt J. GFAP and S100B in the acute phase of mild traumatic brain injury. Neurology 2012;78:1428–1433
   PubMed Web of Science ®Google Scholar
• Homolkova H, Prchlik M, Tomek P. The relationship between S100B protein serum levels, injury severity and Glasgow Outcome Scale values in children with CNS injuries. Neuro Endocrinol Lett 2012;33:207–211
   PubMed Web of Science ®Google Scholar
• Kattan MW. Judging new markers by their ability to improve predictive accuracy. Journal of the National Cancer Institute 2003;95:634–635
   PubMedGoogle Scholar
• Lingsma HF, Roozenbeek B, Steyerberg EW, Murray GD, Maas AI. Early prognosis in traumatic brain injury: From prophecies to predictions. Lancet Neurology 2010;9:543–554
   PubMed Web of Science ®Google Scholar
• Mushkudiani NA, Hukkelhoven CW, Hernandez AV, Murray GD, Choi SC, Maas AI, Steyerberg EW. A systematic review finds methodological improvements necessary for prognostic models in determining traumatic brain injury outcomes. Journal of Clinical Epidemiology 2008;61:331–343
   PubMed Web of Science ®Google Scholar