Biomarker-Based Point-of-Care Tests for the Evaluation of Mild Traumatic Brain Injury


Project Status:
Project Line:
Horizon Scan
Project Sub Line:
Emerging Health Technologies
Project Number:


CADTH Horizon Scanning bulletins present an overview of the technology and available evidence on a given topic. They are not systematic reviews and do not involve the critical appraisal of all studies or include a detailed summary of study findings. They are not intended to provide recommendations for or against a particular technology.

Literature Search Strategy

A limited literature search was conducted by an information specialist on key resources including MEDLINE via Ovid, Embase via Ovid, the Cochrane Library, the University of York Centre for Reviews and Dissemination (CRD) databases, the websites of Canadian and major international health technology agencies, as well as a focused internet search. The search strategy was comprised of both controlled vocabulary, such as the National Library of Medicine’s MeSH (Medical Subject Headings), and keywords. The main search concepts were biomarkers and concussion. No methodological search filters were applied to the search. Where possible, retrieval was limited to the human population. The search was also limited to English-language documents published between January 1, 2015 and April 15, 2020.

Study Selection

One author screened the literature search results and reviewed the full text of all potentially relevant studies. Studies were considered for inclusion if the intervention was a biomarker-based, point-of-care (POC), brain trauma indicator device or platform and targeted people with mild traumatic brain injury or concussion. Conference abstracts and grey literature were included when they provided additional information to that available in the published studies.

Peer Review

Manufacturers were given the opportunity to comment on an earlier draft; manufacturer input was received and addressed in this report.


  • Mild traumatic brain injury can have subtle signs and symptoms, yet the underlying neuropathology is complex and involves several neurochemical, structural, and functional changes in the brain.1
  • Currently, in patients who present with mild signs and symptoms, neurologic assessment and mental status testing guide the triage decision for an imaging investigation of potential brain lesions.2-4
  • Ideally, a portable biomarker-based POC test would contribute information to help health care professionals determine the need for imaging in those suspected of having a mild traumatic brain injury and would safely avoid unnecessary radiation exposure in others, while also saving health care resources.
  • Several biomarker-based POC devices are currently in development; however, the identification of a single optimal biomarker has proven to be quite difficult and it is likely that a composite of several  biomarkers will be required for optimal assessment results.


Traumatic brain injuries (TBI) are physical injuries to brain tissue that alter brain function either temporarily or permanently.3,5 They can have consequences on activities of daily living and, in many cases, appear to initiate long-term neurodegeneration processes.6,7 Common mechanisms by which a TBI tends to occur include falls, motor vehicle collisions, being struck by or against an object, sports, and blast-related injuries.7-9 Severity varies from mild concussion to fatal damage.

While moderate and severe cases of TBI have greater objective clinical features, signs and symptoms of mild TBI can be more subtle such as a transient change in mental status or level of consciousness, post-traumatic amnesia, or focal neurologic deficits.3,10 A few terms have been used in the literature to denote mild TBI, such as mild head trauma and concussion.4 All concussions are considered to be a mild TBI, but mild TBI is distinguished from concussions when there is imaging evidence of intracranial lesions or if there is a persistent neurological deficit.4 The majority of mild TBI patients are fully alert and awake,11 some may be completely asymptomatic by the time they are medically assessed,4 and some may not even seek medical care.12 In 2014, a cross-sectional survey of Canadians aged 12 years and older (except those living in a nursing home, on reserves, or members of the Canadian Armed Forces) found that 19% of respondents who experienced a TBI self-reported not seeking medical care within 48 hours of their injury.12

Describing the burden of mild TBI in Canada is difficult because of the lack of consistent reporting across Canadian jurisdictions.13 In 2017, it was estimated there were 162 new cases of mild TBI per 100,000 Canadians,14 with an estimated national prevalence of 65,678 cases.14 From a provincial perspective, there were 1,330,336 Ontarians diagnosed with a concussion between 2008 and 2016, with an annual average of 1,153 per 100,000 inhabitants.15 In British Columbia, there were 11 concussion hospitalizations per 100,000 inhabitants from 2012‒2013 to 2016‒2017.16 Because these estimates only reflect those who sought medical care, the true annual figures are likely higher.

Currently, the assessment of an individual with a suspected mild TBI includes a field trauma assessment, a neurological examination incorporating a rapid tool (e.g., the Glasgow Coma Scale [GSC]), and decision rules (e.g., Canadian CT Head Rule)9 to triage them to imaging or an appropriate next level of care.3 The GCS, developed in 1974, is a generally accepted system used to assess the level of consciousness of patients with a brain injury by observing their ability to open their eyes spontaneously, to be oriented and respond coherently to verbal questions, and to successfully obey motor commands.17,18 The GCS scale ranges from the worst score of 3 for complete unresponsiveness, to the best score of 15 for an awake and alert patient.17,19 Higher scores indicate a better prognosis, and a score of 13 to 15 is consistent with mild TBI.17,19-21

While a general categorization of injury severity can be extrapolated from the level of consciousness measured by the GCS, the tool has limitations. For instance, a GCS score of 15 does not necessarily imply an absence of internal damage after a head trauma; further investigation and patient monitoring may still be warranted.4,19,22 Also, the tool is dependant on the assessment skills of the observer23 and its interrater reliability has come into question.24 As well, the GCS is unable to predict the development of complications25 and it is not appropriate for use in patients with prior neurological conditions.26 Although imaging via a CT scan is an alternative to bridging some of these shortcomings,3 approximately 90% of mild TBI cases will not have any evidence of structural abnormalities visible on a CT scan.4,10,27-31

These limitations highlight an opportunity to improve the care pathway through the use of objective and quantifiable metrics, which can be obtained as soon as possible after the injury, outside of clinical laboratories, and in close proximity to where the patient is receiving care.32,33 This has brought about the recent interest in developing biomarker-based POC devices to rapidly and accurately identify TBI. Ideally, the tests take the form of a small hand-held or otherwise portable device, designed to allow the investigation of a patient’s condition more rapidly than conventional laboratory-based techniques.34 Furthermore, they rely on quantifiable characteristics of a biological process (i.e., biomarkers) such as the measurement of proteins, intracellular or extracellular components, even brain electrical activity signatures.28,35-37

By offering POC convenience and clinical information at a crucial time for appropriate triage, a specific subgroup of suspected mild TBI patients could be sent for imaging, while others could safely avoid unnecessary ambulance transport, imaging, radiation exposure (thereby reducing long-term cancer risk), and at the same time saving health care resources.38

CADTH has done previous work on this topic, including a 2014 report on serum biomarkers used to diagnose mild TBI in adults.39 The purpose of this Horizon Scan is to provide an overview of the potential use of biomarker-based POC tests for investigating suspected mild TBI.

The Technology

Myriad biomarkers are being investigated for use in POC devices that detect mild TBI, such as those found in whole blood, serum, plasma, extracellular fluid, cerebrospinal fluid, saliva, as well as eye tracking, electroencephalogram measurements, and imaging findings.7,20,26,28,34,36,40-56 Table 1 summarizes a selection of biomarker-based POC devices that are currently being developed for TBI.

As the underlying neuropathology of mild TBI is complex and involves several neurochemical, as well as structural and functional, changes in the brain,1 the identification of an optimal biomarker has proven to be difficult. The following is a description of individual biomarkers relevant to POC devices listed in Table 1.

Ubiquitin Carboxy-Terminal Hydrolase Isoenzyme L1 (UCH-L1)

Used by the Banyan Brain Trauma Indicator,57 as well as the i-STAT Alinity,58 UCH-L1 is expressed in the cytoplasm of neuronal cells and is involved in neuron cell turnover as a response to adverse events that may damage brain tissue.7,20,21,30,42,45,59 A 2017 systematic review reported the sensitivity of UCH-L1 for the detection of intracranial lesions on CT scans to be 100% (95% confidence interval [CI], 88% to 100%) and with a specificity of 21% (95% CI, 12% to 32%) in one primary study and 39% (95% CI, 33% to 46%) in another.28 This biomarker was recently granted US FDA clearance for clinical use in identifying the presence of intracranial injury after more severe TBI.60 However, in mild TBI, the peak UCH-L1 serum concentration is low and rapidly disappears, which may affect its utility and reliability as a biomarker in these cases.7,26,40,61,62

Glial Fibrillary Acidic Protein (GFAP)

Used by the Banyan Brain Trauma Indicator,57 the i-STAT Alinity,58 as well as the Tbit system,63,64 GFAP is expressed from astrocytes (i.e., a type of glial cell) after neuronal injury.7,20,21,30,42,49,65 Following a TBI, GFAP is released somewhat later than UCH-L1 and remains elevated for a longer time, which provides a wider time window for detection.7,30,40,42,61,66 The sensitivity of GFAP for the detection of intracranial lesions on CT scans have been reported to be 67% to 100%, with a specificity between 0% to 100%.28,30 This biomarker was recently granted FDA clearance for clinical use in identifying the presence of intracranial injury after more severe TBI.60 Nevertheless, GFAP is helpful at differentiating between focal and diffuse brain injury7 and it is useful for all severities of TBI;21 however, GFAP’s ability to diffuse into the bloodstream is dependant on the blood-brain barrier also being damaged.41 In one study, the use of this biomarker was shown to reduce the number of CT scans in TBI cases by a range of 12% to 30%.67

With a TBI, injury to neighbouring cell types is not surprising and there is a strong association between GFAP and UCH-L1.66 The combination of these two biomarkers has been reported to have better sensitivity and specificity for identifying TBI patients from healthy controls than either biomarker alone.45,68

Aldolase Isoenzyme C (ALDOC)

Used by the BRAINBox TBI device,69 the expression of ALDOC increases after astrocytes are injured and can remain elevated for up to five days post injury.26,70 In mild TBI cases, the biomarker can be present in serum one hour post injury.70 Here too, the enzyme’s ability to diffuse into the bloodstream is dependant on the blood-brain barrier also being damaged.70

Brain Electrical Activity

The BrainScope One device71 uses non-invasive electroencephalography (EEG) to measure the electrical activity of the brain and monitor changes over the course of a TBI.1,7 Typical measurements collected include power frequency bands (i.e., alpha, beta, gamma, delta, theta), amplitude, and latency.7,45 Common findings associated with concussion are changes in power frequencies,7,37 as well as decreased wave amplitudes.45 Another measure of brain electrical activity reported to reflect brain injury in mild TBI is based on the complexity of the EEG signal, which drops in concussive injury.37

S100 Calcium-Binding Protein B (S100B)

Used by the Elecsys S100 test kit,72,73 the Liaison S100 test kit,72,74 as well as the Tbit system,63,64 the S100B protein is expressed from astrocytes after neuronal injury.7,11,21,30,49,53,59,72 However, S100B is not a brain-specific biomarker and may arise from extracranial sources such as musculoskeletal injury and adipose tissue, limiting its specificity in a multi-trauma injury scenario.7,21,25,42,61 The protein remains in circulation for one hour to one day7 before being excreted.11,72 The sensitivity of S100B as a predictor of intracranial lesion on a CT scan has been reported as 72% to 100%, with a specificity of 5% to 77%.28,31,75 Higher serum concentrations have been linked to abnormal CT findings7,30,49,76 and there is a proposed lower threshold that could be used, together with additional parameters, to avoid unnecessary imaging in select patients.76 Nevertheless, S100B is also an indicator of blood-brain barrier disruption rather than just brain damage.40,49,53 With these shortcomings in mind, it should be highlighted that clinical symptoms and other assessment measures should be considered in addition to S100B levels when assessing a patient with suspected mild TBI.

Table 1: Characteristics of Biomarker Point-of-Care Devices Used for Traumatic Brain Injury Assessments

Device, manufacturer, country Type of biomarker used Intended use,
description of procedure
Regulatory availability

Banyan Brain Trauma Indicator,57 for use with the Synergy 2 Multi-Mode luminometer (BioTek Instruments Incorporated)

Banyan Biomarkers Inc.


Blood sample:

  • UCH-L1
  • GFAP

Assessment of TBI in patients 18 years and older57

Serum processed from whole blood collected within 12 hours of injury is tested via ELISA for presence of each biomarker.

  • No active Canadian medical device licence
  • Received FDA Class II designation on June 14, 2018;77 however, the company is currently only supplying the United States Department of Defence.57


BRAINBox Solutions, Inc.


Blood sample:

  • Astrocyte injury-defined biomarkers, including ALDOC or a trauma-specific breakdown product of ALDOC.69

Assessment of TBI

A blood sample is placed on an application pad for ELISA analysis by the device.78

  • No active Canadian medical device licence
  • No active FDA approval. Received Breakthrough Device designation on June 6, 201969

BrainScope One (formerly known as Ahead 300)71,79

BrainScope Company Inc.



  • Absolute and relative power
  • Asymmetry
  • Quantitative EEG coherence
  • Fractal dimension

Assessment of TBI in patients aged 18 to 85 years who have a GCS of 13 to 1571

Within 72 hours of injury, a forehead-only electrode headset is placed on the patient to record EEG measurements for five minutes via a hand-held device.71 The patient then completes a 10-minute cognitive performance test on the hand-held device before the TBI assessment results are displayed.71

  • Received a Canadian medical device licence (103943) on November 25, 2019
  • The former Ahead 300 device was approved for commercialization in the US in September 2016 and was rebranded to BrainScope One in May 201880

Elecsys S100 test kit for use in the cobas e 601 analyzer72,73

Roche Diagnostics GmbH


Immunoassay of blood sample:

  • Serum S100B protein

Assessment of TBI73

Serum, collected within three hours of injury, is measured to assess levels of the biomarker. The assay takes approximately 18 minutes.73

  • The test kit received a Canadian medical device licence (69534) on November 19, 2005. It was amended on December 9, 2019.

i-STAT Alinity,58,81

Abbott Point of Care Inc.


Blood sample:82

  • UCH-L1
  • GFAP

Measures a range of biomarkers for various conditions81 and it may be used in the assessment of TBI.

A few drops of blood are applied to a cartridge and inserted into the hand-held device for analysis.81

  • Received a Canadian medical device licence (69528) on January 27, 2017
  • Not commercially available in the US58

LIAISON S100 test kit for use in the Liaison Analyzer72,74

Diasorin SpA


Blood sample:

  • Serum S100B protein

Intended to detect serum S100B protein in malignant melanoma; unclear if it could be applied to TBI


  • The test kit received a Canadian medical device licence (86744) on August 24, 2012

Tbit System63

BioDirection, Inc.


Blood sample:

  • GFAP
  • Serum S100B protein

Assessment of concussion and other TBI

A drop of blood is analyzed via a tabletop device and results are returned in 90 seconds.64

  • No active Canadian medical device licence
  • No active FDA approval

ALDOC = aldolase isoenzyme C; EEG = electroencephalography; ELISA = enzyme-linked immunosorbent assay; GFAP = glial fibrillary acidic protein; GCS = Glasgow Coma Scale; NR = not reported; TBI = traumatic brain injury; UCH-L1 = ubiquitin carboxy-terminal hydrolase isoenzyme L1.


A 2019 cost-effectiveness study from the US compared the cost-effectiveness of biomarker screening for TBI to the application of clinical decision rules or routine CT scans for mild or moderate TBI.10 The authors determined, assuming a 0.104 probability of an intracranial lesion in mild TBI, that the biomarker screen was cost-effective if the cost was $308.96 or below (calculated from a societal perspective and expressed in 2018 US dollars) per test.10

Who Might Benefit?

While the use of biomarker-based POC tests for mild TBI is a developing and evolving area, these technologies are being considered for people with a presumed mild TBI in amateur sports and professional athletic settings, military combat theatres, and other pre-hospital settings. As previously discussed, the assessment of a patient with a presumed mild TBI is complex and the availability of a biomarker-based POC tool would aid in triaging the patient to the appropriate next level of care.41

Current Practice

The current practice for the identification of mild TBI starts with a neurologic assessment and mental status testing.2-4 Additionally, unconsciousness greater than one minute, mental status changes, or abnormalities upon neurologic examination would indicate the need for urgent imaging and further consultation.2 Imaging, usually via a head CT without contrast media, is recommended for a subset of patients with mild TBI2 (e.g., usually those with more than transiently impaired consciousness, a GCS score below 15, focal neurologic findings, persistent vomiting, seizure, a history of loss of consciousness, or a clinically suspected fracture).3,76 The Ontario Neurotrauma Foundation guidelines on concussion and mild TBI4 recommend using the Canadian CT Head Rule9 — a clinical decision-making tool to help determine which patients would benefit from the imaging technique.9 The purpose of imaging is to identify injuries requiring immediate neurosurgical intervention (e.g., hematomas, contusions, skull fractures, diffuse axonal injury) and to assess the prognosis for long-term management.2 Although not indicated for the initial examination,2 MRI may be useful later on in the clinical course of the pathology for the potential prognosis of long-term outcomes,55 detection of subtle contusions,3 presence of diffuse axonal injury,3 and presence of traumatic microbleeds that may persist for years following the initial injury.54 Plain skull X-rays are not recommended, as they cannot help assess the brain tissue.3,4

Summary of the Evidence

Trials pertaining to biomarker-based POC testing devices for mild TBI were only identified for the BrainScope One and i-STAT Alinity devices. Study characteristics are listed in Table 2.

Table 2: Characteristics of the Trials

Author, year; name of study; country Study design, study duration, sample size Population Intervention comparator(s) Outcomes
BrainScope One

Wilde et al. (2020)1


Case-control study

Sample size: N = 31

Collegiate athletes aged 17 to 24:

  • concussed
    n = 18
  • non-concussed
    n = 13

Enhanced BFI score from BrainScope One


  • White matter diffusivity (e.g., fractional anisotropy, mean diffusivity, axial diffusivity, radial diffusivity)

Hanley et al.(2018)37


Retrospective cohort subgroup analysis of the B-AHEAD III study29

n= 713

See Hanley et al. (2017)29 in the Reference section that follows

Subgroup consisted of patients for which a categorical classification of functional impairment could be determined

BFI score from Ahead 300a Severity of functional impairment

Hack et al. (2017)83


Retrospective subgroup analysis of the B-AHEAD III study29

n = 680

  • See Hanley (2017)29 in the Reference section that follows
  • Subgroup consisted of patients with known absence or presence of loss of consciousness

Ahead 300a

LOC, LOC plus amnesia

  • Prediction of intracranial bleed

Hanley et al. (2017)29

Validation Of Point-Of-Care TBI Detection System For for Head Injured Patients (B-AHEAD III)


Prospective cohort

Enrolment between February and December 2015

N = 720

  • Convenience sample of adults presenting to the emergency department at 11 different sites and within 72 hours of a head injury

Ahead 300a


  • Likelihood that a patient was CT-positive (positive predictive value)
  • Negative predictive value
i-STAT Alinity

Yue et al. (2019)84

Subgroup analysis of the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) trials


Prospective cohort

Enrolment between February 2014 and June 2018b

Subgroup = 450

Patients with TBI who had a clinically indicated head CT scan within 24 hrs of injury and with a negative result.84

  • 330 had negative MRI scans
  • 120 had positive MRI scans

i-STATb analysis of GFAP within 24 hours of injury84

MRI at seven to 14 days post injury84

  • Ability to identify patients with positive versus negative MRI findings

BFI = brain function index; DTI = diffuse tensor imaging; LOC = loss of consciousness.

a The former Ahead 300 device was approved for commercialization in September 2016 and was rebranded to BrainScope One in May 2018.80
bThis study was performed with the former generation of the i-STAT platform, not the proposed i-STAT Alinity device.


The study population in the Hanley et al. (2018) and the Hanley et al. (2017) publications was limited to adults 18 to 85 years of age.29,37 Therefore the generalizability of the results in pediatric or adolescent populations remains unclear. Furthermore, as the study population was a convenience sample,29,37 it is possible that a selection bias was present. Notably, the distribution of some baseline characteristics (e.g., mean age, sex, mechanism of injury) were unequal between the group with injuries visible on a CT scan (CT-positive) and the group without visible injuries (CT-negative). Also, it is not clear from the demographics if any of the study participants had a history of previous TBI or existing comorbidities that may have affected the interpretation of their CT scan results.

Correspondingly, the subgroup analysis by Hack et al. (2017) had an unequal distribution of some baseline characteristics (e.g., mean age, sex, mechanism of injury) between the group with injuries visible on a CT scan (CT-positive) and the group without visible injuries (CT-negative).83 Therefore, it is possible that a selection bias was present. What is more, the clinical observation of loss of consciousness alone as a comparator in determining whether a patient is likely to have an intracranial bleed is not representative of the contemporary standard of care at the time of the study. Therefore, it is possible that this contributed to overstating the favourable outcomes of the device.

The study population in Wilde et al.(2020) was limited to a small group of collegiate athletes aged 17 to 24.1 Therefore the generalizability of the results in other age groups or non-athletic populations remains unclear. Furthermore, as the study population was a convenience sample,1 it is possible that a selection bias was present.

The study population in Yue et al. had a mean age of 36.3 years (standard deviation [SD] = 15.0), were 63% male, and mostly injured in road-traffic accidents (68%) or falls (20%);84 therefore the generalizability of the results in other age groups or other mechanisms of injury remains unclear.

Detecting Intracranial Injury

  • Hanley et al. (2017) reported that the Ahead 300 device had a sensitivity of 92.3% (95% CI = 87.8% to 95.5%) and a specificity of 51.5% (95% CI, 48.1% to 55.1%) for detecting intracranial injury visible on a CT scan.29 Furthermore, the authors reported that the device had a negative predictive value of 96.0% (95% CI, 93.2% to 97.9%) and a positive predictive value of 34.5% (95% CI, 30.0% to 39.3%) for intracranial injury visible on a CT scan.29
  • Hack et al. (2017) reported that the Ahead 300 device performed 83% better at determining whether a head injury patient was likely to have an intracranial bleed or not (i.e., CT-positive or CT-negative) over the clinical observation of loss of consciousness alone (area under the receiver operating characteristic [ROC] curve of 0.83 and 0.68, respectively).83 Hence, the odds ratio for the “loss of consciousness” method of prediction is 4.65 (95% CI, 3.10 to 6.97) and the device method is 16.22 (95% CI, 8.09 to 32.52).83
  • Yue et al. (2019) reported that, within 24 hours of injury, plasma concentrations of GFAP as detected by the i-STAT device was able to discriminate (area under the ROC curve 0.777 [95% CI, 0.726 to 0.829]) between patients with MRI-positive findings and patients with MRI-negative findings of injury.84

Characterization of Severity of Functional Impairment

  • Hanley et al. (2018) developed a brain function index (BFI) score intended to reflect functional impairment in brain injury and based on measures of brain electrical activity generated by the Ahead 300 device.37 The higher the BFI, the more severe the impairment. The authors’ analysis demonstrated a sensitivity of 35% that the index score could differentiate between CT-positive (BFI score = 299.4 [±1.2]) and CT-negative patients with mild TBI (BFI score = 247.1 [±0.3]).37 Similarly, they reported a sensitivity of 62% that the index score could differentiate between the CT-positive and the CT-negative patients with normal function (BFI score = 222.5 [±1.0]).37
  • Wilde et al. (2020) compared diffuse tensor imaging (DTI) MRI metrics to an enhanced BFI score of concussed and non-concussed collegiate athletes.1 The authors reported that the enhanced BFI score (composed of EEG, clinical, and cognitive findings) was related to DTI alterations in the white matter of multiple regions of the brain, particularly in the frontal and temporal areas.1 However, none of the group differences in the DTI metric survived the false discovery rate statistical correction.1 The authors also attempted to standardize DTI scores and correlate them to the enhanced BTI score; however, none were statistically significant.1

Concurrent Developments

Several research groups around the world are working to advance research on biomarker-based POC testing. In many of the examples that follow, the technology is emergent and will need further development before regulatory approval and clinical application.


A research team in Arizona has proposed a detection method that relies on four biomarkers: GFAP, neuron-specific enolase, S100B, and tumour necrosis factor-alpha.65 The device uses a gold disc electrode to measure microlitre, volume-sized samples of blood and return concentrations of these biomarkers in under 90 seconds.65 The technology is still experimental while a more cost-effective electrode material is sought, which is also expected to affect the testing time.65

Another team in Arizona developed a POC tool that detects the sustained blood elevation of norepinephrine concentrations, known to negatively relate to long-term outcomes in TBI.34,85 However, the team’s research remains experimental and the researchers are seeking to confirm their findings in human trials.

A group in Arkansas started a phase II trial in 2018 for a portable brain injury biomarker system that detects levels of lactate, pyruvate, and glucose via an integrated microdialysis probe.86 The group is developing this medical device for the clinical monitoring of patients with severe brain injury.86


Researchers in Sydney have developed a portable system that uses a smartphone to deliver a visual stimulus while an EEG headset records brain activity signals.52


A team in London, Ontario reported on the use of a mass spectrometry metabolomic profiling method for concussion.87 The authors have filed a patent application for metabolomics profiling of central nervous system injury (US patent number 62/135886).87


A research team in Birmingham reported on an assay that detects Cystatin D (CST5), stated to be an ultra-early biomarker with the ability to determine the presence and severity of TBI.25 The assay is not currently portable, limiting its usefulness for field applications.25

Another research team in Birmingham has proposed a lab-on-a-chip for rapid plasma separation from a single drop of blood sample.88 The chip is inserted into a portable system, which uses a diode laser, for the analysis of N-acetylaspartate (NAA).88 A decrease in plasma NAA levels occurs in mild TBI because of reduced biosynthesis or its increased utilization.88 The technology is still experimental and researchers are seeking to confirm their findings in mild TBI cases.88

Researchers have also discovered that micro ribonucleic acids (microRNA) play a critical role as regulators in various diseases, including TBI.41,56 Good diagnostic accuracy for mild TBI detection has been reported using blood levels of multiple immune-related genes.89,90 However, microRNA can also be sampled from saliva, making it an ideal non-invasive candidate for a POC test.91 Researchers in Birmingham are seeking to establish a panel of microRNA biomarkers in urine and saliva for the rapid diagnosis of sports-related concussion and to see whether these biomarkers would be clinically useful for diagnostic, prognostic, and return-to-activity decisions.92

Implementation Issues


The nature of TBI is often complex, where a number of injury mechanisms can be simultaneously involved, resulting in varied types and severity of injuries.7 While TBI is not a new condition, there has been a growing impetus to improve existing assessment tools and develop new ones in the last decade.93 In Canada, the issue was recently brought into the public eye when the Minister of Health received a mandate to establish a Pan-Canadian Concussion Strategy and raise awareness for parents, coaches, and athletes on concussion treatment.94 In addition, there have been increasing calls for ways to safely reduce unnecessary medical imaging, both to reduce radiation exposure (thereby reducing long-term cancer risk) and conserve health care resources.38 Biomarker-based POC tests, if adequately able to detect intracranial injury, may help in this regard.

While biomarker-based POC tests would help guide the decision to perform further imaging, another aspect to consider in their implementation is that some can take longer to return results than performing a CT scan.95 This delay may result in an overall lengthier hospital stay, with potential repercussions on other patients waiting for an available bed.95

Final Remarks

While biomarker-based POC testing is a new technology that may allow for the faster triage of patients with suspected TBI, there remains a number of considerations before such devices can be used in clinical practice in the Canadian setting. These include a need for additional well-designed prospective studies to demonstrate that these devices have both the sensitivity and specificity required to correctly identify people with and without mild TBI.


  1. Wilde EA, Goodrich-Hunsaker NJ, Ware AL, et al. DTI Indicators of White Matter Injury are Correlated with Multimodal EEG-based Biomarker in Slow Recovering, Concussed Collegiate Athletes. J Neurotrauma. 2020;13:13.
  2. Evans RW, Whitlow CT. Acute mild traumatic brain injury (concussion) in adults. Waltham (MA): UpToDate; 2019.
  3. Madera MA, Narayan RK, D TS. Chapter 324: Traumatic Brain Injury. In: Porter RS, Kaplan JL, eds. The Merck manual of diagnosis and therapy. 19th ed. Whitehouse Station (NJ): Merck Sharp & Dohme Corp.; 2011:3218-3227.
  4. Ontario Neurotrauma Foundation. Guideline for Concussion/Mild Traumatic Brain Injury & Persistent Symptoms. 3rd ed. Toronto (ON): Ontario Neurotrauma Foundation,; 2018: Accessed 2020 Apr 5.
  5. Menon DK, Schwab K, Wright DW, Maas AI. Position Statement: Definition of Traumatic Brain Injury. Arch Phys Med Rehabil. 2010;91(11):1637-1640.
  6. Johnson VE, Stewart W, Smith DH. Traumatic brain injury and amyloid-β pathology: a link to Alzheimer's disease? Nat Rev Neurosci. 2010;11(5):361-370.
  7. Hajiaghamemar M, Seidi M, Oeur RA, Margulies SS. Toward development of clinically translatable diagnostic and prognostic metrics of traumatic brain injury using animal models: A review and a look forward. Exp Neurol. 2019;318:101-123.
  8. Fu TS, Jing R, McFaull SR, Cusimano MD. Recent trends in hospitalization and in-hospital mortality associated with traumatic brain injury in Canada: a nationwide, population-based study. J Trauma Acute Care Surg. 2015;79(3):449-455.
  9. Stiell IG, Wells GA, Vandemheen K, et al. The Canadian CT Head Rule for patients with minor head injury. The Lancet. 2001;357(9266):1391-1396.
  10. Su YS, Schuster JM, Smith DH, Stein SC. Cost-Effectiveness of Biomarker Screening for Traumatic Brain Injury. J Neurotrauma. 2019;36(13):2083-2091.
  11. Astrand R, Unden J. Clinical Use of the Calcium-Binding S100B Protein, a Biomarker for Head Injury. Methods Mol Biol. 2019;1929:679-690.
  12. Rao DP, McFaull S, Thompson W, Jayaraman GC. At-a-glance – Traumatic brain injury management in Canada: changing patterns of care. Health Promotion and Chronic Disease Prevention in Canada. 2018 Mar;38(3). Accessed 2020 Apr 5.
  13. Damji F, Babul S. Improving and standardizing concussion education and care: a Canadian experience. Concussion. 2018;3(4):CNC58. Accessed 2020 May 5.
  14. Institute for Health Metrics and Evaluation. The Global Burden of Disease study data visualization hub : estimated prevalence of minor traumatic brain injury, for both sexes and all ages in Canada. Seattle (WA): University of Washington; 2020: Accessed 2020 Mar 26.
  15. Langer L, Levy C, Bayley M. Increasing Incidence of Concussion: True Epidemic or Better Recognition? J Head Trauma Rehabil. 2020;35(1):E60-E66.
  16. BC Injury research and prevention unit. Concussion Hospitalization Data, Figure 1: Hospitalization Rate/100,000 for Concussion, by Health Service Delivery Area, Tout Years, All, 2012/13-2016/17. Vancouver (BC): BC Injury research and prevention unit; 2020: Accessed 2020 May 5.
  17. Boucher BA, Timmons SD. Chapter 60: Acute Management of the Brain Injury Patient. In: DiPiro JT, Talbert RL, Yee GC, Matzke GR, Wells BG, Posey LM, eds. Pharmacotherapy: A Pathophysiologic Approach. 7th ed. New York: McGraw-Hill Education; 2008.
  18. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. The Lancet. 1974;304(7872):81-84.
  19. Matis G, Birbilis T. The Glasgow Coma Scale–a brief review Past, present, future. Acta Neurol Belg. 2008;108(3):75-89.
  20. Reece JT, Milone M, Wang P, Herman D, Petrov D, Shaw LM. A Biomarker for Concussion: The Good, the Bad, and the Unknown. J Appl Lab Med. 2019;5(1):170-182.
  21. Karnati HK, Garcia JH, Tweedie D, Becker RE, Kapogiannis D, Greig NH. Neuronal Enriched Extracellular Vesicle Proteins as Biomarkers for Traumatic Brain Injury. J Neurotrauma. 2019;36(7):975-987.
  22. Ganti L, Stead T, Daneshvar Y, et al. GCS 15: when mild TBI isn’t so mild. Neurol Res Pract. 2019;1(1):6.
  23. Mehta R, Chinthapalli K. Glasgow coma scale explained. BMJ. 2019;365:l1296. Accessed 2020 Apr 27.
  24. Bledsoe BE, Casey MJ, Feldman J, et al. Glasgow Coma Scale Scoring is Often Inaccurate. Prehosp Disaster Med. 2015;30(1):46-53.
  25. Hill LJ, Di Pietro V, Hazeldine J, et al. Cystatin D (CST5): An ultra-early inflammatory biomarker of traumatic brain injury. Sci Rep. 2017;7(1):5002.
  26. Martinez BI, Stabenfeldt SE. Current trends in biomarker discovery and analysis tools for traumatic brain injury. J Biol Eng. 2019;13:16.
  27. Jeret JS, Mandell M, Anziska B, et al. Clinical predictors of abnormality disclosed by computed tomography after mild head trauma. Neurosurgery. 1993;32(1):9-16.
  28. Mondello S, Sorinola A, Czeiter E, et al. Blood-Based Protein Biomarkers for the Management of Traumatic Brain Injuries in Adults Presenting to Emergency Departments with Mild Brain Injury: A Living Systematic Review and Meta-Analysis. J Neurotrauma. 2018;02:02.
  29. Hanley D, Prichep LS, Bazarian J, et al. Emergency Department Triage of Traumatic Head Injury Using a Brain Electrical Activity Biomarker: A Multisite Prospective Observational Validation Trial. Acad Emerg Med. 2017;24(5):617-627.
  30. Mahan MY, Thorpe M, Ahmadi A, et al. Glial Fibrillary Acidic Protein (GFAP) Outperforms S100 Calcium-Binding Protein B (S100B) and Ubiquitin C-Terminal Hydrolase L1 (UCH-L1) as Predictor for Positive Computed Tomography of the Head in Trauma Subjects. World Neurosurgery. 2019;128:e434-e444.
  31. Zongo D, Ribéreau-Gayon R, Masson F, et al. S100-B Protein as a Screening Tool for the Early Assessment of Minor Head Injury. Ann Emerg Med 2012;59(3):209-218.
  32. Howick J, Cals JWL, Jones C, et al. Current and future use of point-of-care tests in primary care: an international survey in Australia, Belgium, The Netherlands, the UK and the USA. BMJ Open. 2014;4(8):e005611. Accessed 2020 Apr 5.
  33. Nova Scotia Department of Health and Wellness. Point of Care Testing. Halifax: Nova Scotia Health Authority; 2020: Accessed 2020 Apr 5.
  34. Ganau M, Syrmos N, Paris M, et al. Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology. Medicines. 2018;5(1):05.
  35. Mondello S, Hayes RL. Biomarkers. Handb Clin Neurol. 2015;127:245-265.
  36. Mondello S, Thelin EP, Shaw G, et al. Extracellular vesicles: pathogenetic, diagnostic and therapeutic value in traumatic brain injury. Expert Rev Proteomics. 2018;15(5):451-461.
  37. Hanley D, Prichep LS, Badjatia N, et al. A Brain Electrical Activity Electroencephalographic-Based Biomarker of Functional Impairment in Traumatic Brain Injury: A Multi-Site Validation Trial. J Neurotrauma. 2018;35(1):41-47.
  38. Anonymous. NewsCAP: The FDA approves a blood test to aid assessment after head injury. AJN. 2018;118(5):17.
  39. Serum Biomarkers to Diagnose Mild Traumatic Brain Injury in Adults. Ottawa (ON): CADTH; 2014: Accessed 2020 May 5.
  40. Dadas A, Washington J, Diaz-Arrastia R, Janigro D. Biomarkers in traumatic brain injury (TBI): a review. Neuropsychiatr. 2018;14:2989-3000.
  41. Di Pietro V, Yakoub KM, Scarpa U, Di Pietro C, Belli A. MicroRNA Signature of Traumatic Brain Injury: From the Biomarker Discovery to the Point-of-Care. Front Neurol. 2018;9:429.
  42. Wang KK, Yang Z, Zhu T, et al. An update on diagnostic and prognostic biomarkers for traumatic brain injury. Expert Rev Mol Diagn. 2018;18(2):165-180.
  43. McCrea M, Meier T, Huber D, et al. Role of advanced neuroimaging, fluid biomarkers and genetic testing in the assessment of sport-related concussion: a systematic review. BJSM online. 2017;51(12):919-929.
  44. Samadani U, Li M, Qian M, et al. Sensitivity and specificity of an eye movement tracking-based biomarker for concussion. Concussion. 2016;1(1):CNC3.
  45. Reis C, Wang Y, Akyol O, et al. What's New in Traumatic Brain Injury: Update on Tracking, Monitoring and Treatment. Int J Mol Sci. 2015;16(6):11903-11965.
  46. Atif H, Hicks SD. A review of microrna biomarkers in traumatic brain injury. J Exp Neurosci. 2019;13.
  47. Ercole A, Magnoni S, Vegliante G, et al. Current and emerging technologies for probing molecular signatures of traumatic brain injury. Front Neurol. 2017;8(Aug).
  48. Williams VB, Danan IJ. A Historical Perspective on Sports Concussion: Where We Have Been and Where We Are Going. Curr Pain Headache Rep. 2016;20(6):43.
  49. O'Connell B, Kelly AM, Mockler D, et al. Use of Blood Biomarkers in the Assessment of Sports-Related Concussion-A Systematic Review in the Context of Their Biological Significance. Clin J Sport Med. 2018;28(6):561-571.
  50. Yaramothu C, Greenspan LD, Scheiman M, Alvarez TL. Vergence Endurance Test: A Pilot Study for a Concussion Biomarker. J Neurotrauma. 2019;36(14):2200-2212.
  51. Bin Zahid A, Hubbard ME, Lockyer J, et al. Eye Tracking as a Biomarker for Concussion in Children. Clin J Sport Med. 2018;08:08.
  52. Fong DHC, Cohen A, Boughton P, et al. Steady-State Visual-Evoked Potentials as a Biomarker for Concussion: A Pilot Study. Front Neurosci. 2020;14:171.
  53. Robinson BD, Tharakan B, Lomas A, et al. Exploring blood-brain barrier hyperpermeability and potential biomarkers in traumatic brain injury. Baylor Univ Med Cent Proc. 2020;33(2):199-204.
  54. Rizk T, Turtzo LC, Cota M, et al. Traumatic microbleeds persist for up to five years following traumatic brain injury despite resolution of other acute findings on MRI. Brain Injury. 2020.
  55. Puig J, Ellis M, Kornelsen J, et al. Magnetic resonance imaging biomarkers of brain connectivity in predicting outcome after mild traumatic brain injury: a systematic review. J Neurotrauma. 2020;31.
  56. Polito F, Fama F, Oteri R, et al. Circulating miRNAs expression as potential biomarkers of mild traumatic brain injury. Mol Biol Rep. 2020;47:2941-2949.
  57. Banyan Biomarkers Inc. Banyan BTI. San Diego (CA): Banyan Biomarkers Inc.; 2020: Accessed 2020 Apr 5.
  58. Abbott Laboratories Incorporated. New Study Finds Abbott's Blood Test Technology Could Help Detect Brain Injury Quickly, Even if CT Scan is Normal. Princeton (NJ): Abbott; 2019: Accessed 2020 Apr 5.
  59. Meier TB, Huber DL, Bohorquez-Montoya L, et al. A prospective study of acute blood-based biomarkers for sport-related concussion. Ann Neurol. 2020;87:907-920.
  60. McCrea M, Broglio SP, McAllister TW, et al. Association of Blood Biomarkers With Acute Sport-Related Concussion in Collegiate Athletes: Findings From the NCAA and Department of Defense CARE Consortium. JAMA Netw Open. 2020;3(1):e1919771.
  61. Singh GP, Nigam R, Tomar GS, et al. Early and rapid detection of UCHL1 in the serum of brain-trauma patients: a novel gold nanoparticle-based method for diagnosing the severity of brain injury. Analyst. 2018;143(14):3366-3373.
  62. Le Roux P, Menon DK, Citerio G, et al. The International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care: Evidentiary Tables: A Statement for Healthcare Professionals from the Neurocritical Care Society and the European Society of Intensive Care Medicine. Neurocritical Care. 2015;22.
  63. BioDirection. Tbit™ Blood Testing Platform. Southborough (MA): BioDirection,; 2015: Accessed 2020 Apr 5.
  64. Lawrence S. Biodirection granted breakthrough designation for Tbit portable traumatic brain injury test. BioWorld MedTech. 2019;23(29).
  65. Cardinell BA, Addington CP, Stabenfeldt SE, La Belle JT. Multi-Biomarker Detection Following Traumatic Brain Injury. Crit Rev Biomed Eng. 2019;47(3):193-206.
  66. Korley FK, Yue JK, Wilson DH, et al. Performance Evaluation of a Multiplex Assay for Simultaneous Detection of Four Clinically Relevant Traumatic Brain Injury Biomarkers. J Neurotrauma. 2018;23:23.
  67. McMahon PJ, Panczykowski DM, Yue JK, et al. 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. 2015;32(8):527-533.
  68. Diaz-Arrastia R, Wang KKW, Papa L, et al. Acute Biomarkers of Traumatic Brain Injury: Relationship between Plasma Levels of Ubiquitin C-Terminal Hydrolase-L1 and Glial Fibrillary Acidic Protein. J Neurotrauma. 2014;31(1):19-25.
  69. BRAINBox Solutions Incorporated. BRAINBox TBI. Richmond (VA): BRAINBox Solutions Incorporated; 2018: Accessed 05-Apr-2020.
  70. Halford J, Shen S, Itamura K, et al. New astroglial injury-defined biomarkers for neurotrauma assessment. J Cereb Blood Flow Metab. 2017;37(10):3278-3299.
  71. BrainScope. BrainScope One. Bethesda (MD): BrainScope; 2020: Accessed 2020 Apr 5.
  72. Delefortrie Q, Lejeune F, Kerzmann B, et al. Evaluation of the Roche Elecsys and the Diasorin Liaison S100 kits in the management of mild head injury in the emergency room. Clin Biochem. 2018;52:123-130.
  73. Roche Diagnostics GmbH. Elecsys® S100. Mannheim, Germany: F. Hoffmann-La Roche Limited,; 2019: Accessed 2020 Apr 5.
  74. DiaSorin S.p.A. LIAISON® Tumour Markers - A complete panel for Cancer Management. Vercelli (IT): DiaSorin S.p.A.; 2011: Accessed 2020 Apr 5.
  75. Undén J, Romner B. Can Low Serum Levels of S100B Predict Normal CT Findings After Minor Head Injury in Adults?: An Evidence-Based Review and Meta-Analysis. J Head Trauma Rehabil. 2010;25(4):228-240. Accessed 2020 Jun 3.
  76. Undén J, Ingebrigtsen T, Romner B, the Scandinavian Neurotrauma C. Scandinavian guidelines for initial management of minimal, mild and moderate head injuries in adults: an evidence and consensus-based update. BMC Medicine. 2013;11(1):50. Accessed 2020 Jun 1.
  77. Food, Drug Administration HHS. Medical Devices; Immunology and Microbiology Devices; Classification of the Brain Trauma Assessment Test. Final order. Fed Regist. 2018;83(115):27699-27702.
  78. Sorek R, Jakobi K, Edmonds D. Methods and compositions for diagnosing brain injury or neurodegeneration. U.S. Patent #US 2019 / 0195893 A1. Alexandria (VA): United States Patent and Trademark Office; 2019 Jun 27: Accessed 2020 May 5.
  79. BrainScope Company Incorporated. BrainScope : Revolutionizing head injury and concussion assessment. Bethesda (MD): BrainScope Company Inc.,; 2018: Accessed 2020 Apr 5.
  80. Verdict Media Limited. BrainScope One EEG-based Device. London (GB): Verdict Media Limited; 2020: Accessed 2020 Apr 5.
  81. Abbott Laboratories Incorporated. i-STAT Alinity. Princeton (NJ): Abbott; 2019: Accessed 2020 May 5.
  82. Abbott Laboratories Incorporated. The Future of Concussion Assessment. Princeton (NJ): Abbott; 2019: Accessed 2020 May 4.
  83. Hack D, Huff JS, Curley K, Naunheim R, Ghosh Dastidar S, Prichep LS. Increased prognostic accuracy of TBI when a brain electrical activity biomarker is added to loss of consciousness (LOC). Am J Emerg Med. 2017;35(7):949-952.
  84. Yue JK, Yuh EL, Korley FK, et al. Association between plasma GFAP concentrations and MRI abnormalities in patients with CT-negative traumatic brain injury in the TRACK-TBI cohort: a prospective multicentre study. The Lancet Neurology. 2019;18(10):953-961.
  85. Haselwood BA, La Belle JT. Development of electrochemical methods to enzymatically detect traumatic brain injury biomarkers. Biosens Bioelectron. 2015;67:752-756.
  86. Das C, Wang G, Sun Q, Ledden B. Multiplexed and fully automated detection of metabolic biomarkers using microdialysis probe. Sens Actuators B Chem. 2017;238:633-640.
  87. Daley M, Dekaban G, Bartha R, et al. Metabolomics profiling of concussion in adolescent male hockey players: a novel diagnostic method. Metabolomics. 2016;12(12).
  88. Rickard JJS, Di-Pietro V, Smith DJ, Davies DJ, Belli A, Oppenheimer PG. Rapid optofluidic detection of biomarkers for traumatic brain injury via surface-enhanced Raman spectroscopy. Nat Biomed Eng. 2020;4:610-623.
  89. Bahado-Singh RO, Vishweswaraiah S, Er A, et al. Artificial Intelligence and the detection of pediatric concussion using epigenomic analysis. Brain Res. 2020;1726:146510.
  90. Petrone AB, Gionis V, Giersch R, Barr TL. Immune biomarkers for the diagnosis of mild traumatic brain injury. NeuroRehabilitation. 2017;40(4):501-508.
  91. Di Pietro V, Porto E, Ragusa M, et al. Salivary MicroRNAs: Diagnostic Markers of Mild Traumatic Brain Injury in Contact-Sport. Front Mol Neurosci. 2018;11:290.
  92. Yakoub KM, O'Halloran P, Davies DJ, et al. Study of Concussion in Rugby Union through MicroRNAs (SCRUM): a study protocol of a prospective, observational cohort study. BMJ Open. 2018;8(11):e024245.
  93. Pinkerton C. What could shape the government's 'pan-Canadian Concussion Strategy'. Ottawa (ON):; 2020: Accessed 2020 Apr 5.
  94. Trudeau J. Minister of Health Mandate Letter. Ottawa (ON): Office of the Prime Minister; 2019: Accessed 2020 Apr 5.
  95. Voelker R. Taking a Closer Look at the Biomarker Test for Mild Traumatic Brain Injury. Jama. 2018;319(20):2066-2067.