Head injury serum markers for assessing response to trauma: Design of the HeadSMART study

References

• Centers for Disease Control and Prevention (CDC) National Center for Health Statistics. 2010. \, ;2010 National Hospital Ambulatory Medical Care Survey (NHAMCS), 2010.
   Google Scholar
• Centers for Disease Control and Prevention(CDC) NCfIPaC. 2003. Report to Congress on mild traumatic brain injury in the United States: steps to prevent a serious public health problem. Atlanta, GA: Centers for Disease Control and Prevention.
   Google Scholar
• Kim E, Lauterbach EC, Reeve A, Arciniegas DB, Coburn KL, Mendez MF, Rummans TA, Coffey EC, Research ACo. 2007. Neuropsychiatric complications of traumatic brain injury: a critical review of the literature (a report by the ANPA Committee on Research). J Neuropsychiatry Clin Neurosci 19( 2):106–27.
   Google Scholar
• Rao V, Koliatsos V, Ahmed F, Lyketsos C, Kortte K. 2015. Neuropsychiatric disturbances associated with traumatic brain injury: a practical approach to evaluation and management. Semin Neurol 35(1):64–82.
   PubMed Web of Science ®Google Scholar
• McMahon P, Hricik A, Yue JK, Puccio AM, Inoue T, Lingsma HF, Beers SR, Gordon WA, Valadka AB, Manley GT et al.. 2014. Symptomatology and functional outcome in mild traumatic brain injury: results from the prospective TRACK-TBI study. J Neurotrauma 31(1):26–33.
   PubMed Web of Science ®Google Scholar
• Korley FK, Kelen GD, Jones CM, Diaz-Arrastia R. 2015. Emergency Department Evaluation of Traumatic Brain Injury in the United States, 2009–2010. J Head Trauma Rehabil.
   Google Scholar
• Arnould A, Dromer E, Rochat L, Van der Linden M, Azouvi P. 2015. Neurobehavioral and self-awareness changes after traumatic brain injury: Towards new multidimensional approaches. Ann Phys Rehabil Med.
   Google Scholar
• Zetterberg H, Smith DH, Blennow K. 2013. Biomarkers of mild traumatic brain injury in cerebrospinal fluid and blood. Nat Rev Neurol 9(4):201–10.
   PubMed Web of Science ®Google Scholar
• Hicks R, Giacino J, Harrison-Felix C, Manley G, Valadka A, Wilde EA. 2013. Progress in developing common data elements for traumatic brain injury research: version two–the end of the beginning. J Neurotrauma 30(22):1852–61.
   PubMed Web of Science ®Google Scholar
• Levin HS, O’Donnell VM, Grossman RG. 1979. The Galveston Orientation and Amnesia Test. A practical scale to assess cognition after head injury. J Nerv Ment Dis 167(11):675–84.
   PubMed Web of Science ®Google Scholar
• King NS, Crawford S, Wenden FJ, Moss NE, Wade DT. 1995. The Rivermead Post Concussion Symptoms Questionnaire: a measure of symptoms commonly experienced after head injury and its reliability. J Neurol 242(9):587–92.
   PubMed Web of Science ®Google Scholar
• Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. 2009. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 42(2):377–81.
   PubMed Web of Science ®Google Scholar
• Jagoda AS, Bazarian JJ, Bruns JJ, Jr., Cantrill SV, Gean AD, Howard PK, Ghajar J, Riggio S, Wright DW, Wears RL et al.. 2009. Clinical policy: neuroimaging and decisionmaking in adult mild traumatic brain injury in the acute setting. J Emerg Nurs 35(2):e5–40.
   PubMedGoogle Scholar
• Duhaime AC, Gean AD, Haacke EM, Hicks R, Wintermark M, Mukherjee P, Brody D, Latour L, Riedy G, Common Data Elements Neuroimaging Working Group Members PWGM. 2010. Common data elements in radiologic imaging of traumatic brain injury. Arch Phys Med Rehabil 91(11):1661–6.
   Google Scholar
• Menon DK, Schwab K, Wright DW, Maas AI, Demographics, Clinical Assessment Working Group of the I, Interagency Initiative toward Common Data Elements for Research on Traumatic Brain I, Psychological H. 2010. Position statement: definition of traumatic brain injury. Arch Phys Med Rehabil 91(11):1637–40.
   Google Scholar
• O’Neil ME, Carlson K, Storzbach D, Brenner L, Freeman M, Quinones A, Motu’apuaka M, Ensley M, Kansagara D. 2013. Complications of Mild Traumatic Brain Injury in Veterans and Military Personnel: A Systematic Review. Washington (DC).
   Google Scholar
• Schretlen D, Bobholz JH, Brandt J. 1996. Development and psychometric properties of the Brief Test of Attention. Clinical Neuropsychologist 10(1):80–89.
   Web of Science ®Google Scholar
• Benedict RHB, Schretlen D, Groninger L, Dobraski M, Shpritz B. 1996. Revision of the Brief Visuospatial Memory Test: Studies of normal performance, reliability, and validity. Psychological Assessment 8(2):145–153.
   Web of Science ®Google Scholar
• Ruff RM, Light RH, Parker SB, Levin HS. 1996. Benton Controlled Oral Word Association Test: reliability and updated norms. Arch Clin Neuropsychol 11(4):329–38.
   PubMed Web of Science ®Google Scholar
• Brandt J. 1991. The Hopkins Verbal Learning Test: Development of a new memory test with six equivalent forms. Clinical Neuropsychologist 5(2):125–142.
   Google Scholar
• Golden CJ. 1978. Stroop Color and Word Test: A Manual for Clinical and Experimental Uses. Chicago,IL: Skoelting. p. 1–32.
   Google Scholar
• Arbuthnott K, Frank J. 2000. Trail making test, part B as a measure of executive control: validation using a set-switching paradigm. J Clin Exp Neuropsychol 22(4):518–28.
   Google Scholar
• Holdnack HA. 2001. Wechsler Test of Adult Reading: WTAR. San Antonio: The Psychological Corporation.
   Google Scholar
• Heaton RK, Chelune GJ, Talley JL, Kay GG, Curtiss G. 1981. Wisconsin Card Sorting Test Manual. Torrance, CA: WPS.
   Google Scholar
• Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. 2005. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53(4):695–9.
   Google Scholar
• Jennett B, Bond M. 1975. Assessment of outcome after severe brain damage. Lancet 1(7905):480–4.
   PubMed Web of Science ®Google Scholar
• McCauley SR, Levin HS, Vanier M, Mazaux JM, Boake C, Goldfader PR, Rockers D, Butters M, Kareken DA, Lambert J et al.. 2001. The neurobehavioural rating scale-revised: sensitivity and validity in closed head injury assessment. J Neurol Neurosurg Psychiatry 71(5):643–51.
   PubMed Web of Science ®Google Scholar
• Kroenke K, Spitzer RL, Williams JB. 2001. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 16(9):606–13.
   PubMed Web of Science ®Google Scholar
• Spitzer RL, Kroenke K, Williams JB, Lowe B. 2006. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 166(10):1092–7.
   PubMed Web of Science ®Google Scholar
• Davidson JR, Book SW, Colket JT, Tupler LA, Roth S, David D, Hertzberg M, Mellman T, Beckham JC, Smith RD et al.. 1997. Assessment of a new self-rating scale for post-traumatic stress disorder. Psychol Med 27(1):153–60.
   PubMed Web of Science ®Google Scholar
• Melzack R. 1975. The McGill Pain Questionnaire: major properties and scoring methods. Pain 1(3):277–99.
   PubMed Web of Science ®Google Scholar
• Buysse DJ, Reynolds CF, 3rd, Monk TH, Berman SR, Kupfer DJ. 1989. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 28(2):193–213.
   PubMed Web of Science ®Google Scholar
• Diener E, Emmons RA, Larsen RJ, Griffin S. 1985. The Satisfaction With Life Scale. J Pers Assess 49(1):71–5.
   PubMed Web of Science ®Google Scholar
• Starr LB, Robinson RG, Price TR. 1983. Reliability, validity, and clinical utility of the social functioning exam in the assessment of stroke patients. Exp Aging Res 9(2):101–6.
   Google Scholar
• Lyketsos CG, Galik E, Steele C, Steinberg M, Rosenblatt A, Warren A, Sheppard JM, Baker A, Brandt J. 1999. The General Medical Health Rating: a bedside global rating of medical comorbidity in patients with dementia. J Am Geriatr Soc 47(4):487–91.
   PubMed Web of Science ®Google Scholar
• Dash PK, Zhao J, Hergenroeder G, Moore AN. 2010. Biomarkers for the diagnosis, prognosis, and evaluation of treatment efficacy for traumatic brain injury. Neurotherapeutics 7(1):100–14.
   Google Scholar
• Hergenroeder GW, Redell JB, Moore AN, Dash PK. 2008. Biomarkers in the clinical diagnosis and management of traumatic brain injury. Mol Diagn Ther 12(6):345–58.
   PubMed Web of Science ®Google Scholar
• Lumpkins KM, Bochicchio GV, Keledjian K, Simard JM, McCunn M, Scalea T. 2008. Glial fibrillary acidic protein is highly correlated with brain injury. J Trauma 65 (4):778-82; discussion 782-4.
   Google Scholar
• Di Battista AP, Buonora JE, Rhind SG, Hutchison MG, Baker AJ, Rizoli SB, Diaz-Arrastia R, Mueller GP. 2015. Blood Biomarkers in Moderate-To-Severe Traumatic Brain Injury: Potential Utility of a Multi-Marker Approach in Characterizing Outcome. Front Neurol 6:110.
   Web of Science ®Google Scholar
• Yang J, Korley FK, Dai M, Everett AD. 2015. Serum neurogranin measurement as a biomarker of acute traumatic brain injury. Clin Biochem.
   Google Scholar
• Korley FK, Diaz-Arrastia R, Wu AH, Yue JK, Manley GTMDPD, Sair HI, Van Eyk J, Everett AD, Okonkwo DO, Valadka A et al.. 2015. Circulating Brain Derived Neurotrophic Factor (BDNF) Has Diagnostic and Prognostic Value in Traumatic Brain Injury. J Neurotrauma.
   Google Scholar
• Failla MD, Conley YP, Wagner AK. 2015. Brain-Derived Neurotrophic Factor (BDNF) in Traumatic Brain Injury-Related Mortality: Interrelationships Between Genetics and Acute Systemic and Central Nervous System BDNF Profiles. Neurorehabil Neural Repair.
   Google Scholar
• Palmiter RD, Findley SD, Whitmore TE, Durnam DM. 1992. MT-III, a brain-specific member of the metallothionein gene family. Proc Natl Acad Sci U S A 89(14):6333–7.
   PubMed Web of Science ®Google Scholar
• Kukacka J, Vajtr D, Huska D, Prusa R, Houstava L, Samal F, Diopan V, Kotaska K, Kizek R. 2006. Blood metallothionein, neuron specific enolase, and protein S100B in patients with traumatic brain injury. Neuro Endocrinol Lett 27 Suppl 2:116–20.
   PubMed Web of Science ®Google Scholar
• Chou SH, Robertson CS, Participants in the International Multi-disciplinary Consensus Conference on the Multimodality M. 2014. Monitoring biomarkers of cellular injury and death in acute brain injury. Neurocrit Care 21 Suppl 2:S187–214.
   Google Scholar
• Surgucheva I, He S, Rich MC, Sharma R, Ninkina NN, Stahel PF, Surguchov A. 2014. Role of synucleins in traumatic brain injury - an experimental in vitro and in vivo study in mice. Mol Cell Neurosci 63:114–23.
   PubMed Web of Science ®Google Scholar
• Buonora JE, Yarnell AM, Lazarus RC, Mousseau M, Latour LL, Rizoli SB, Baker AJ, Rhind SG, Diaz-Arrastia R, Mueller GP. 2015. Multivariate analysis of traumatic brain injury: development of an assessment score. Front Neurol 6:68.
   Web of Science ®Google Scholar
• Hornik K, Buchta C, Hothorn T, Karatzoglou A, Meyer D, Zeileis A. Package ‘RWeka’ [Internet]. Available from: https://cran.r-project.org/web/packages/RWeka/RWeka.pdf
   Google Scholar
• Quinlan JR. 1993. J. R. C4.5. Programs for Machine Learning. Morgan Kaufmann Publishers.
   Google Scholar
• Spitzer RL. 1983. Psychiatric diagnosis: are clinicians still necessary? Compr Psychiatry 24( 5):399–411.
   Google Scholar
• Yue JK, Vassar MJ, Lingsma HF, Cooper SR, Okonkwo DO, Valadka AB, Gordon WA, Maas AI, Mukherjee P, Yuh EL et al.. 2013. Transforming research and clinical knowledge in traumatic brain injury pilot: multicenter implementation of the common data elements for traumatic brain injury. J Neurotrauma 30(22):1831–44.
   PubMed Web of Science ®Google Scholar