Literature DB >> 25264814

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.

Paul J McMahon1, David M Panczykowski, John K Yue, Ava M Puccio, Tomoo Inoue, Marco D Sorani, Hester F Lingsma, Andrew I R Maas, Alex B Valadka, Esther L Yuh, Pratik Mukherjee, Geoffrey T Manley, David O Okonkwo.   

Abstract

Glial fibrillary acidic protein and its breakdown products (GFAP-BDP) are brain-specific proteins released into serum as part of the pathophysiological response after traumatic brain injury (TBI). We performed a multi-center trial to validate and characterize the use of GFAP-BDP levels in the diagnosis of intracranial injury in a broad population of patients with a positive clinical screen for head injury. This multi-center, prospective, cohort study included patients 16-93 years of age presenting to three level 1 trauma centers with suspected TBI (loss of consciousness, post-trauma amnesia, and so on). Serum GFAP-BDP levels were drawn within 24 h and analyzed, in a blinded fashion, using sandwich enzyme-linked immunosorbent assay. The ability of GFAP-BDP to predict intracranial injury on admission computed tomography (CT) as well as delayed magnetic resonance imaging was analyzed by multiple regression and assessed by the area under the receiver operating characteristic curve (AUC). Utility of GFAP-BDP to predict injury and reduce unnecessary CT scans was assessed utilizing decision curve analysis. A total of 215 patients were included, of which 83% suffered mild TBI, 4% moderate, and 12% severe; mean age was 42.1±18 years. Evidence of intracranial injury was present in 51% of the sample (median Rotterdam Score, 2; interquartile range, 2). GFAP-BDP demonstrated very good predictive ability (AUC=0.87) and demonstrated significant discrimination of injury severity (odds ratio, 1.45; 95% confidence interval, 1.29-1.64). Use of GFAP-BDP yielded a net benefit above clinical screening alone and a net reduction in unnecessary scans by 12-30%. Used in conjunction with other clinical information, rapid measurement of GFAP-BDP is useful in establishing or excluding the diagnosis of radiographically apparent intracranial injury throughout the spectrum of TBI. As an adjunct to current screening practices, GFAP-BDP may help avoid unnecessary CT scans without sacrificing sensitivity (Registry: ClinicalTrials.gov Identifier: NCT01565551).

Entities:  

Keywords:  biomarkers; imaging; traumatic brain injury

Mesh:

Substances:

Year:  2015        PMID: 25264814      PMCID: PMC4394160          DOI: 10.1089/neu.2014.3635

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  23 in total

Review 1.  Decision making in the face of uncertainty and resource constraints: examples from trauma imaging.

Authors:  M G Myriam Hunink
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Review 2.  Common data elements in radiologic imaging of traumatic brain injury.

Authors:  Ann-Christine Duhaime; Alisa D Gean; E Mark Haacke; Ramona Hicks; Max Wintermark; Pratik Mukherjee; David Brody; Lawrence Latour; Gerard Riedy
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Review 3.  Common data elements for research on traumatic brain injury and psychological health: current status and future development.

Authors:  John Whyte; Jennifer Vasterling; Geoffrey T Manley
Journal:  Arch Phys Med Rehabil       Date:  2010-11       Impact factor: 3.966

4.  Comparison of the Canadian CT Head Rule and the New Orleans Criteria in patients with minor head injury.

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Journal:  JAMA       Date:  2005-09-28       Impact factor: 56.272

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Journal:  J Neurotrauma       Date:  2004-11       Impact factor: 5.269

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Authors:  Linda Papa; Ian G Stiell; Catherine M Clement; Artur Pawlowicz; Andrew Wolfram; Carolina Braga; Sameer Draviam; George A Wells
Journal:  Acad Emerg Med       Date:  2012-01       Impact factor: 3.451

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Authors:  Andrew J Vickers; Elena B Elkin
Journal:  Med Decis Making       Date:  2006 Nov-Dec       Impact factor: 2.583

9.  Transforming research and clinical knowledge in traumatic brain injury pilot: multicenter implementation of the common data elements for traumatic brain injury.

Authors:  John K Yue; Mary J Vassar; Hester F Lingsma; Shelly R Cooper; David O Okonkwo; Alex B Valadka; Wayne A Gordon; Andrew I R Maas; Pratik Mukherjee; Esther L Yuh; Ava M Puccio; David M Schnyer; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2013-09-24       Impact factor: 5.269

10.  The economic impact of S-100B as a pre-head CT screening test on emergency department management of adult patients with mild traumatic brain injury.

Authors:  Shuolun Ruan; Katia Noyes; Jeffrey J Bazarian
Journal:  J Neurotrauma       Date:  2009-10       Impact factor: 5.269

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  49 in total

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Authors:  Henrik Zetterberg; Kaj Blennow
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2.  Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use.

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4.  Point-of-Care Platform Blood Biomarker Testing of Glial Fibrillary Acidic Protein versus S100 Calcium-Binding Protein B for Prediction of Traumatic Brain Injuries: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study.

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Review 5.  [Pathophysiology of intracranial injuries].

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Journal:  Unfallchirurg       Date:  2017-09       Impact factor: 1.000

Review 6.  The current state of biomarkers of mild traumatic brain injury.

Authors:  Han Jun Kim; Jack W Tsao; Ansley Grimes Stanfill
Journal:  JCI Insight       Date:  2018-01-11

7.  Pharmacological Optimization for Successful Traumatic Brain Injury Drug Development.

Authors:  Samuel M Poloyac; Richard J Bertz; Lee A McDermott; Punit Marathe
Journal:  J Neurotrauma       Date:  2019-04-10       Impact factor: 5.269

8.  A Panel of Autoantibodies Against Neural Proteins as Peripheral Biomarker for Pesticide-Induced Neurotoxicity.

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Journal:  Neurotox Res       Date:  2017-09-05       Impact factor: 3.911

9.  Imaging and serum biomarkers reflecting the functional efficacy of extended erythropoietin treatment in rats following infantile traumatic brain injury.

Authors:  Shenandoah Robinson; Jesse L Winer; Justin Berkner; Lindsay A S Chan; Jesse L Denson; Jessie R Maxwell; Yirong Yang; Laurel O Sillerud; Robert C Tasker; William P Meehan; Rebekah Mannix; Lauren L Jantzie
Journal:  J Neurosurg Pediatr       Date:  2016-02-19       Impact factor: 2.375

10.  Repetitive Closed-Head Impact Model of Engineered Rotational Acceleration Induces Long-Term Cognitive Impairments with Persistent Astrogliosis and Microgliosis in Mice.

Authors:  Huazhen Chen; Abhishek Desai; Hee-Yong Kim
Journal:  J Neurotrauma       Date:  2017-04-26       Impact factor: 5.269

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