Ability of Serum Glial Fibrillary Acidic Protein, Ubiquitin C-Terminal Hydrolase-L1, and S100B To Differentiate Normal and Abnormal Head Computed Tomography Findings in Patients with Suspected Mild or Moderate Traumatic Brain Injury

Robert D Welch, Syed I Ayaz, Lawrence M Lewis, Johan Unden, James Y Chen, Valerie H Mika, Ben Saville, Joseph A Tyndall, Marshall Nash, Andras Buki, Pal Barzo, Dallas Hack, Frank C Tortella, Kara Schmid, Ronald L Hayes, Arastoo Vossough, Stephen T Sweriduk, Jeffrey J Bazarian, Robert D Welch, Syed I Ayaz, Lawrence M Lewis, Johan Unden, James Y Chen, Valerie H Mika, Ben Saville, Joseph A Tyndall, Marshall Nash, Andras Buki, Pal Barzo, Dallas Hack, Frank C Tortella, Kara Schmid, Ronald L Hayes, Arastoo Vossough, Stephen T Sweriduk, Jeffrey J Bazarian

Abstract

Head computed tomography (CT) imaging is still a commonly obtained diagnostic test for patients with minor head injury despite availability of clinical decision rules to guide imaging use and recommendations to reduce radiation exposure resulting from unnecessary imaging. This prospective multicenter observational study of 251 patients with suspected mild to moderate traumatic brain injury (TBI) evaluated three serum biomarkers' (glial fibrillary acidic protein [GFAP], ubiquitin C-terminal hydrolase-L1 [UCH-L1] and S100B measured within 6 h of injury) ability to differentiate CT negative and CT positive findings. Of the 251 patients, 60.2% were male and 225 (89.6%) had a presenting Glasgow Coma Scale score of 15. A positive head CT (intracranial injury) was found in 36 (14.3%). UCH-L1 was 100% sensitive and 39% specific at a cutoff value >40 pg/mL. To retain 100% sensitivity, GFAP was 0% specific (cutoff value 0 pg/mL) and S100B had a specificity of only 2% (cutoff value 30 pg/mL). All three biomarkers had similar values for areas under the receiver operator characteristic curve: 0.79 (95% confidence interval; 0.70-0.88) for GFAP, 0.80 (0.71-0.89) for UCH-L1, and 0.75 (0.65-0.85) for S100B. Neither GFAP nor UCH-L1 curve values differed significantly from S100B (p = 0.21 and p = 0.77, respectively). In our patient cohort, UCH-L1 outperformed GFAP and S100B when the goal was to reduce CT use without sacrificing sensitivity. UCH-L1 values <40 pg/mL could potentially have aided in eliminating 83 of the 215 negative CT scans. These results require replication in other studies before the test is used in actual clinical practice.

Trial registration: ClinicalTrials.gov NCT01295346.

Figures

FIG. 1.
FIG. 1.
Flow diagram describing excluded and included patients with mild to moderate traumatic brain injury. CT, computed tomography; UCH-L1, ubiquitin carboxyl-terminal hydrolase-L; GFAP, glial fibrillary acidic protein.
FIG. 2.
FIG. 2.
Scatter plots for glial fibrillary acidic protein (GFAP), ubiquitin carboxyl-terminal hydrolase-L (UCH-L1), and S100B stratified by computed tomography (CT) results. (A) All biomarker values; (B) biomarker values ≤1200 pg/mL; (C) biomarker values ≤400 pg/mL. Color image is available online at www.liebertpub.com/neu
FIG. 3.
FIG. 3.
Scatter plots for glial fibrillary acidic protein (GFAP), ubiquitin carboxyl-terminal hydrolase-L (UCH-L1), and S100B stratified by presenting Glasgow Coma Scale (GCS) score (all values ≤400 pg/mL for resolution). (A) GFAP; (B) UCH-L1; (C) S100B. CT, computed tomography. Color image is available online at www.liebertpub.com/neu
FIG. 4.
FIG. 4.
Area under the receiver operating characteristic (ROC) curve comparison for all (A) biomarkers in the model (n = 231) and for each individual marker (n = 251 for glial fibrillary acidic protein [B] and ubiquitin carboxyl-terminal hydrolase-L [C] and n = 231 for S100B [D]). Color image is available online at www.liebertpub.com/neu

References

    1. Melnick E.R., Szlezak C.M., Bentley S.K., Dziura J.D., Kotlyar S., and Post L.A. (2012). CT overuse for mild traumatic brain injury. Jt. Comm. J. Qual. 38, 483–489
    1. Korley F.K., Morton M.J., Hill P.M., Mundangepfupfu T., Zhou T., Mohareb A.M., and Rothman R.E. (2013). Agreement between routine emergency department care and clinical decision support recommended care in patients evaluated for mild traumatic brain injury. Acad. Emerg. Med. 20, 463–469
    1. Stiell I.G., Wells G.A., Vandemheen K., Clement C., Lesiuk H., Laupacis A., McKnight R.D., Verbeek R., Brison R., Cass D., Eisenhauer M.E., Greenberg G., and Worthington J. (2001). The Canadian CT Head Rule for patients with minor head injury. Lancet 357, 1391–1396
    1. Haydel M.J., Preston C.A., Mills T.J., Luber S., Blaudeau E., and DeBlieux P.M. (2000). Indications for computed tomography in patients with minor head injury. N. Engl. J. Med. 343, 100–105
    1. Smith-Bindman R., Lipson J., Marcus R., Kim K.P., Mahesh M., Gould R., Berrington de Gonzalez A., and Miglioretti D.L. (2009). Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer. Arch. Intern. Med. 169, 2078–2086
    1. Brenner D.J., and Hall E.J. (2007). Computed tomography—an increasing source of radiation exposure. N. Engl. J. Med. 357, 2277–2284
    1. Jagoda A.S., Bazarian J.J., Bruns J.J., Jr., Cantrill S.V., Gean A.D., Howard P.K., Ghajar J., Riggio S., Wright D.W., Wears R.L., Bakshy A., Burgess P., Wald M.M., and Whitson R.R. (2008). Clinical policy: neuroimaging and decisionmaking in adult mild traumatic brain injury in the acute setting. Ann. Emerg. Med. 52, 714–748
    1. Jeter C.B., Hergenroeder G.W., Hylin M.J., Redell J.B., Moore A.N., and Dash P.K. (2013). Biomarkers for the diagnosis and prognosis of mild traumatic brain injury/concussion. J. neurotrauma 30, 657–670
    1. Egea-Guerrero J.J., Revuelto-Rey J., Murillo-Cabezas F., Munoz-Sanchez M.A., Vilches-Arenas A., Sanchez-Linares P., Dominguez-Roldan J.M., and Leon-Carrion J. (2012). Accuracy of the S100beta protein as a marker of brain damage in traumatic brain injury. Brain Inj. 26, 76–82
    1. Zongo D., Ribereau-Gayon R., Masson F., Laborey M., Contrand B., Salmi L.R., Montaudon D., Beaudeux J.L., Meurin A., Dousset V., Loiseau H., and Lagarde E. (2012). S100-B protein as a screening tool for the early assessment of minor head injury. Ann. Emerg. Med. 59, 209–218
    1. Biberthaler P., Linsenmeier U., Pfeifer K.J., Kroetz M., Mussack T., Kanz K.G., Hoecherl E.F., Jonas F., Marzi I., Leucht P., Jochum M., and Mutschler W. (2006). Serum S-100B concentration provides additional information for the indication of computed tomography in patients after minor head injury: a prospective multicenter study. Shock 25, 446–453
    1. Metting Z., Wilczak N., Rodiger L.A., Schaaf J.M., and van der Naalt J. (2012). GFAP and S100B in the acute phase of mild traumatic brain injury. Neurology 78, 1428–1433
    1. Papa L., Silvestri S., Brophy G.M., Giordano P., Falk J.L., Braga C.F., Tan C.N., Ameli N.J., Demery J.A., Dixit N.K., Mendes M.E., Hayes R.L., Wang K.K., and Robertson C.S. (2014). GFAP out-performs S100beta in detecting traumatic intracranial lesions on computed tomography in trauma patients with mild traumatic brain injury and those with extracranial lesions. J. Neurotrauma 31, 1815–1822
    1. Yokobori S., Hosein K., Burks S., Sharma I., Gajavelli S., and Bullock R. (2013). Biomarkers for the clinical differential diagnosis in traumatic brain injury—a systematic review. CNS Neurosci Ther. 19, 556–565
    1. Muller K., Townend W., Biasca N., Unden J., Waterloo K., Romner B., and Ingebrigtsen T. (2007). S100B serum level predicts computed tomography findings after minor head injury. J. Trauma 62, 1452–1456
    1. Zetterberg H., Smith D.H., and Blennow K. (2013). Biomarkers of mild traumatic brain injury in cerebrospinal fluid and blood. Nat. Rev. Neurol. 9, 201–210
    1. Unden J., Ingebrigtsen T., Romner B.; Scandinavian Neurotrauma Committee. (2013). Scandinavian guidelines for initial management of minimal, mild and moderate head injuries in adults: an evidence and consensus-based update. BMC Med. 11, 50.
    1. Barbosa R.R., Jawa R., Watters J.M., Knight J.C., Kerwin A.J., Winston E.S., Barraco R.D., Tucker B., Bardes J.M., and Rowell S.E. (2012). Evaluation and management of mild traumatic brain injury: an Eastern Association for the Surgery of Trauma practice management guideline. J. Trauma Acute Care Surg. 73, Suppl 4, S307–S314
    1. Papa L., Lewis L.M., Falk J.L., Zhang Z., Silvestri S., Giordano P., Brophy G.M., Demery J.A., Dixit N.K., Ferguson I., Liu M.C., Mo J., Akinyi L., Schmid K., Mondello S., Robertson C.S., Tortella F.C., Hayes R.L., and Wang K.K. (2012). Elevated levels of serum glial fibrillary acidic protein breakdown products in mild and moderate traumatic brain injury are associated with intracranial lesions and neurosurgical intervention. Ann. Emerg. Med. 59, 471–483
    1. McMahon P.J., Panczykowski D.M., Yue J.K., Puccio A.M., Inoue T., Sorani M.D., Lingsma H.F., Maas A.I., Valadka A.B., Yuh E.L., Mukherjee P., Manley G.T., Okonkwo D.O., Casey S.S., Cheong M., Cooper S.R., Dams-O'Connor K., Gordon W.A., Hricik A.J., Lawless K., Menon D., Schnyer D.M., and Vassar M.J. (2015). Measurement of the glial fibrillary acidic protein and its breakdown products GFAP-BDP biomarker for the detection of traumatic brain injury compared to computed tomography and magnetic resonance imaging. J. Neurotrauma 32, 527–533
    1. Wilkinson K.D., Lee K.M., Deshpande S., Duerksen-Hughes P., Boss J.M., and Pohl J. (1989). The neuron-specific protein PGP 9.5 is a ubiquitin carboxyl-terminal hydrolase. Science 246, 670–673
    1. Mondello S., Muller U., Jeromin A., Streeter J., Hayes R.L. and Wang K.K. (2011). Blood-based diagnostics of traumatic brain injuries. Expert Rev. Mol. Diagn. 11, 65–78
    1. Papa L., Lewis L.M., Silvestri S., Falk J.L., Giordano P., Brophy G.M., Demery J.A., Liu M.C., Mo J., Akinyi L., Mondello S., Schmid K., Robertson C.S., Tortella F.C., Hayes R.L., and Wang K.K. (2012). Serum levels of ubiquitin C-terminal hydrolase distinguish mild traumatic brain injury from trauma controls and are elevated in mild and moderate traumatic brain injury patients with intracranial lesions and neurosurgical intervention. J. Trauma Acute Care Surg. 72, 1335–1344
    1. Bazarian J.J., Blyth B.J., He H., Mookerjee S., Jones C., Kiechle K., Moynihan R., Wojcik S.M., Grant W.D., Secreti L.M., Triner W., Moscati R., Leinhart A., Ellis G.L., and Khan J. (2013). Classification accuracy of serum Apo A-I and S100B for the diagnosis of mild traumatic brain injury and prediction of abnormal initial head computed tomography scan. J. Neurotrauma 30, 1747–1754
    1. Florkowski C.M. (2008). Sensitivity, specificity, receiver-operating characteristic (ROC) curves and likelihood ratios: communicating the performance of diagnostic tests. Clin. Biochem. Rev. 29, Suppl 1, S83–S87
    1. DeLong E.R., DeLong D.M., and Clarke-Pearson D.L. (1988). Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44, 837–845
    1. Bossuyt P.M., Reitsma J.B., Bruns D.E., Gatsonis C.A., Glasziou P.P., Irwig L.M., Moher D., Rennie D., de Vet H.C., and Lijmer J.G. (2003). The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann. Intern. Med. 138, W1–W12
    1. Sauerbrei W., Abrahamowicz M., Altman D.G., le Cessie S., and Carpenter J. (2014). STRengthening analytical thinking for observational studies: STRATOS initiative. Stat. Med. 33, 5413–5432
    1. Kou Z., Gattu R., Kobeissy F., Welch R.D., O'Neil B.J., Woodard J.L., Ayaz S.I., Kulek A., Kas-Shamoun R., Mika V., Zuk C., Tomasello F., and Mondello S. (2013). Combining biochemical and imaging markers to improve diagnosis and characterization of mild traumatic brain injury in the acute setting: results from a pilot study. PloS One 8, e80296.
    1. Korevaar D.A., van Enst W.A., Spijker R., Bossuyt P.M., and Hooft L. (2014). Reporting quality of diagnostic accuracy studies: a systematic review and meta-analysis of investigations on adherence to STARD. Evid. Based Med. 19, 47–54
    1. Smits M., Dippel D.W., de Haan G.G., Dekker H.M., Vos P.E., Kool D.R., Nederkoorn P.J., Hofman P.A., Twijnstra A., Tanghe H.L., and Hunink M.G. (2005). External validation of the Canadian CT Head Rule and the New Orleans Criteria for CT scanning in patients with minor head injury. JAMA 294, 1519–1525
    1. Stiell I.G., Clement C.M., Rowe B.H., Schull M.J., Brison R., Cass D., Eisenhauer M.A., McKnight R.D., Bandiera G., Holroyd B., Lee J.S., Dreyer J., Worthington J.R., Reardon M., Greenberg G., Lesiuk H., MacPhail I., and Wells G.A. (2005). Comparison of the Canadian CT Head Rule and the New Orleans Criteria in patients with minor head injury. JAMA 294, 1511–1518
    1. Stiell I.G., Clement C.M., Grimshaw J.M., Brison R.J., Rowe B.H., Lee J.S., Shah A., Brehaut J., Holroyd B.R., Schull M.J., McKnight R.D., Eisenhauer M.A., Dreyer J., Letovsky E., Rutledge T., Macphail I., Ross S., Perry J.J., Ip U., Lesiuk H., Bennett C., and Wells G.A. (2010). A prospective cluster-randomized trial to implement the Canadian CT Head Rule in emergency departments. CMAJ 182, 1527–1532
    1. Initiative to Reduce Unnecessary Radiation Exposure from Medical Imaging-February 2010. Center for Devices and Radiological Health-U.S. Food and Drug Administration; Available at: Accessed: October17, 2015

Source: PubMed

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