The power of public-private partnership in medical technology innovation: Lessons from the development of FDA-cleared medical devices for assessment of concussion.

Given the convergence of the long and challenging development path for medical devices with the need for diagnostic capabilities for mild traumatic brain injury (mTBI/concussion), the effective role of public-private partnership (PPP) can be demonstrated to yield Food and Drug Administration (FDA) clearances and innovative product introductions. An overview of the mTBI problem and landscape was performed. A detailed situation analysis of an example of a PPP yielding an innovative product was further demonstrated. The example of PPP has led to multiple FDA clearances and product introductions in the TBI diagnostic product category where there was an urgent military and public need. Important lessons included defining the primary public and military health objective for new product introduction, the importance of the government-academia-industry PPP triad with a "collaboration towards solutions" Quality-by-Design (QbD) mindset to assure clinical validity with regulatory compliance, the development of device comparators and integration of measurements into a robust, evidence-based statistical and FDA pathway, and the utility of top-down, flexible, practical action while operating within governmental guidelines and patient safety.

Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia.

Objective: The current study seeks to illustrate potential early and objective neurophysiological biomarkers of neurodegenerative cognitive decline by evaluating features of brain network physiological performance and structure utilizing different modalities. Methods: This study included 17 clinically healthy individuals with self-reported cognitive decline (Subjective Cognitive Decline group, SCD, no objective finding of cognitive decline), 12 individuals diagnosed with amnestic Mild Cognitive Impairment (aMCI), 11 individuals diagnosed with Dementia, and 15 healthy subjects. All subjects underwent computerized cognitive performance testing, MRI scans including T1 for gray matter (GM) volume quantification, DTI for quantification of white matter (WM) microstructure fractional anisotropy (FA) and mean diffusivity (MD), and brain network function evaluation using DELPHI (TMS-EEG) measures of connectivity, excitability, and plasticity. Results: Both DELPHI analysis of network function and DTI analysis detected a significant decrease in connectivity, excitability, and WM integrity in the SCD group compared to healthy control (HC) subjects; a significant decrease was also noted for aMCI and Dementia groups compared to HC. In contrast, no significant decrease was observed in GM volume in the SCD group compared to healthy norms, a significant GM volume decrease was observed only in objectively cognitively impaired aMCI subjects and in dementia subjects. Conclusions: This study results suggest that objective direct measures of brain network physiology and WM integrity may provide early-stage biomarkers of neurodegenerative-related changes in subjects that have not yet displayed any other objective measurable cognitive or GM volume deficits which may facilitate early preventive care for neurodegenerative decline and dementia.

Improved Mild Closed Head Traumatic Brain Injury Outcomes With a Brain-Computer Interface Amplified Cognitive Remediation Training.

This study is a retrospective chart review of 200 clients who participated in a non-verbal restorative cognitive remediation training (rCRT) program between 2012 and 2020. Each client participated in the program for about 16 weeks, and the study as a whole occurred over a five-year period. The program was applied to effect proper neural functional remodeling needed to support resilient, flexible, and adaptable behaviors after encountering a mild closed head traumatic brain injury (mTBI). The rCRT program focused on improving functional performance in executive cognitive control networks as defined by fMRI studies. All rCRT activities were delivered in a semi-game-like manner, incorporating a brain-computer interface (BCI) that provided in-the-moment neural network performance integrity metrics (nPIMs) used to adjust the level of play required to properly engage long-term potentiation (LTP) and long-term depression (LTD) network learning rules. This study reports on t-test and Reliable Change Index (RCI) changes found within individual cognitive abilities' performance metrics derived from the Woodcock-Johnson Cognitive Abilities III Test. We compared pre- and post-scores from seven cognitive abilities considered dependent on executive cognitive control networks against seven non-executive control abilities. We observed significant improvements (p < 10-4) with large Cohen's deffect sizes (0.78-1.20) across 13 of 14 cognitive ability domains with a medium effect size (0.49) on the remaining one. The mean percent change for the pooled trained domain was double that observed for the pooled untrained domain, at 17.2% versus 8.3%, respectively. To further adjust for practice effects, practice effect RCI values were computed and further supported the effectiveness of the rCRT (trained RCI 1.4-4.8; untrained RCI 0.-08-0.75).

Comprehensive Blood Coagulation Profiling in Patients Using iCoagLab: Comparison Against Thromboelastography.

Delayed identification of coagulopathy and bleeding increases the risk of organ failure and death in hospitalized patients. Timely and accurate identification of impaired coagulation at the point-of-care can proactively identify bleeding risk and guide resuscitation, resulting in improved outcomes for patients. We test the accuracy of a novel optical coagulation sensing approach, termed iCoagLab, for comprehensive whole blood coagulation profiling and investigate its diagnostic accuracy in identifying patients at elevated bleeding risk. Whole blood samples from patients (N = 270) undergoing conventional coagulation testing were measured using the iCoagLab device. Recalcified and kaolin-activated blood samples were loaded in disposable cartridges and time-varying intensity fluctuation of laser speckle patterns were measured to quantify the clot viscoelastic modulus during coagulation. Coagulation parameters including the reaction time (R), clot progression time (K), clot progression rate (α), and maximum clot strength (MA) were derived from clot viscoelasticity traces and compared with mechanical thromboelastography (TEG). In all patients, a good correlation between iCoagLab- and TEG-derived parameters was observed (p < 0.001). Multivariate analysis showed that iCoagLab-derived parameters identified bleeding risk with sensitivity (94%) identical to, and diagnostic accuracy (89%) higher than TEG (87%). The diagnostic specificity of iCoagLab (77%) was significantly higher than TEG (69%). By rapidly and comprehensively permitting blood coagulation profiling the iCoagLab innovation is likely to advance the capability to identify patients with elevated risk for bleeding, with the ultimate goal of preventing life-threatening hemorrhage.

Evaluation of White Matter Integrity Utilizing the DELPHI (TMS-EEG) System.

OBJECTIVE: The aim of this study was to evaluate brain white matter (WM) fibers connectivity damage in stroke and traumatic brain injury (TBI) subjects by direct electrophysiological imaging (DELPHI) that analyzes transcranial magnetic stimulation (TMS)-evoked potentials (TEPs). METHODS: The study included 123 participants, out of which 53 subjects with WM-related pathologies (39 stroke, 14 TBI) and 70 healthy age-related controls. All subjects underwent DELPHI brain network evaluations of TMS-electroencephalogram (EEG)-evoked potentials and diffusion tensor imaging (DTI) scans for quantification of WM microstructure fractional anisotropy (FA). RESULTS: DELPHI output measures show a significant difference between the healthy and stroke/TBI groups. A multidimensional approach was able to classify healthy from unhealthy with a balanced accuracy of 0.81 ± 0.02 and area under the curve (AUC) of 0.88 ± 0.01. Moreover, a multivariant regression model of DELPHI output measures achieved prediction of WM microstructure changes measured by FA with the highest correlations observed for fibers proximal to the stimulation area, such as frontal corpus callosum (r = 0.7 ± 0.02), anterior internal capsule (r = 0.7 ± 0.02), and fronto-occipital fasciculus (r = 0.65 ± 0.03). CONCLUSION: These results indicate that features of TMS-evoked response are correlated to WM microstructure changes observed in pathological conditions, such as stroke and TBI, and that a multidimensional approach combining these features in supervised learning methods serves as a strong indicator for abnormalities and changes in WM integrity.

The modern landscape of sport-related concussion research: key achievements and future directions.

The study of contact and collision sport athletes at risk for concussion began approximately three decades ago. Since then, sport-related concussion (SRC) research across several medical specialties has helped to develop consensus guidelines for clinical management through interdisciplinary efforts. The modern landscape of SRC research includes large-scale investigations to define the natural history of concussion and identify factors that should guide prevention, diagnosis, and treatment specific to the individual patient. We now know that the clinical and physiologic effects of concussion are related but independent constructs deserving further scientific exploration. This has sparked research that incorporates advanced neuroimaging, fluid biomarkers, biomechanics, and genomics, in addition to standard clinical outcomes. Additionally, translational research has informed our understanding of optimal rehabilitation strategies and led to a shift from the "complete rest" approach to earlier, active management interventions after concussion. Collectively, these advancements are likely to substantially improve patient outcomes after SRC and, ultimately, may prove beneficial for identifying and appropriately managing those at risk for longer-term difficulties associated with repetitive head impact exposure. The broader public health implications of improving sports safety and encouraging developmentally appropriate participation among youth and adolescents are a particularly important byproduct of continued research into SRC.

Emergency Department Triage of Traumatic Head Injury Using a Brain Electrical Activity Biomarker: A Multisite Prospective Observational Validation Trial.

OBJECTIVES: A brain electrical activity biomarker for identifying traumatic brain injury (TBI) in emergency department (ED) patients presenting with high Glasgow Coma Scale (GCS) after sustaining a head injury has shown promise for objective, rapid triage. The main objective of this study was to prospectively evaluate the efficacy of an automated classification algorithm to determine the likelihood of being computed tomography (CT) positive, in high-functioning TBI patients in the acute state. METHODS: Adult patients admitted to the ED for evaluation within 72 hours of sustaining a closed head injury with GCS 12 to 15 were candidates for study. A total of 720 patients (18-85 years) meeting inclusion/exclusion criteria were enrolled in this observational, prospective validation trial, at 11 U.S. EDs. GCS was 15 in 97%, with the first and third quartiles being 15 (interquartile range = 0) in the study population at the time of the evaluation. Standard clinical evaluations were conducted and 5 to 10 minutes of electroencephalogram (EEG) was acquired from frontal and frontal-temporal scalp locations. Using an a priori derived EEG-based classification algorithm developed on an independent population and applied to this validation population prospectively, the likelihood of each subject being CT+ was determined, and performance metrics were computed relative to adjudicated CT findings. RESULTS: Sensitivity of the binary classifier (likely CT+ or CT-) was 92.3% (95% confidence interval [CI] = 87.8%-95.5%) for detection of any intracranial injury visible on CT (CT+), with specificity of 51.6% (95% CI = 48.1%-55.1%) and negative predictive value (NPV) of 96.0% (95% CI = 93.2%-97.9%). Using ternary classification (likely CT+, equivocal, likely CT-) demonstrated enhanced sensitivity to traumatic hematomas (≥1 mL of blood), 98.6% (95% CI = 92.6%-100.0%), and NPV of 98.2% (95% CI = 95.5%-99.5%). CONCLUSION: Using an EEG-based biomarker high accuracy of predicting the likelihood of being CT+ was obtained, with high NPV and sensitivity to any traumatic bleeding and to hematomas. Specificity was significantly higher than standard CT decision rules. The short time to acquire results and the ease of use in the ED environment suggests that EEG-based classifier algorithms have potential to impact triage and clinical management of head-injured patients.

Time Course and Diagnostic Accuracy of Glial and Neuronal Blood Biomarkers GFAP and UCH-L1 in a Large Cohort of Trauma Patients With and Without Mild Traumatic Brain Injury.

IMPORTANCE: Glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) have been widely studied and show promise for clinical usefulness in suspected traumatic brain injury (TBI) and concussion. Understanding their diagnostic accuracy over time will help translate them into clinical practice. OBJECTIVES: To evaluate the temporal profiles of GFAP and UCH-L1 in a large cohort of trauma patients seen at the emergency department and to assess their diagnostic accuracy over time, both individually and in combination, for detecting mild to moderate TBI (MMTBI), traumatic intracranial lesions on head computed tomography (CT), and neurosurgical intervention. DESIGN, SETTING, AND PARTICIPANTS: This prospective cohort study enrolled adult trauma patients seen at a level I trauma center from March 1, 2010, to March 5, 2014. All patients underwent rigorous screening to determine whether they had experienced an MMTBI (blunt head trauma with loss of consciousness, amnesia, or disorientation and a Glasgow Coma Scale score of 9-15). Of 3025 trauma patients assessed, 1030 met eligibility criteria for enrollment, and 446 declined participation. Initial blood samples were obtained in 584 patients enrolled within 4 hours of injury. Repeated blood sampling was conducted at 4, 8, 12, 16, 20, 24, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, and 180 hours after injury. MAIN OUTCOMES AND MEASURES: Diagnosis of MMTBI, presence of traumatic intracranial lesions on head CT scan, and neurosurgical intervention. RESULTS: A total of 1831 blood samples were drawn from 584 patients (mean [SD] age, 40 [16] years; 62.0% [362 of 584] male) over 7 days. Both GFAP and UCH-L1 were detectible within 1 hour of injury. GFAP peaked at 20 hours after injury and slowly declined over 72 hours. UCH-L1 rose rapidly and peaked at 8 hours after injury and declined rapidly over 48 hours. Over the course of 1 week, GFAP demonstrated a diagnostic range of areas under the curve for detecting MMTBI of 0.73 (95% CI, 0.69-0.77) to 0.94 (95% CI, 0.78-1.00), and UCH-L1 demonstrated a diagnostic range of 0.30 (95% CI, 0.02-0.50) to 0.67 (95% CI, 0.53-0.81). For detecting intracranial lesions on CT, the diagnostic ranges of areas under the curve were 0.80 (95% CI, 0.67-0.92) to 0.97 (95% CI, 0.93-1.00)for GFAP and 0.31 (95% CI, 0-0.63) to 0.77 (95% CI, 0.68-0.85) for UCH-L1. For distinguishing patients with and without a neurosurgical intervention, the range for GFAP was 0.91 (95% CI, 0.79-1.00) to 1.00 (95% CI, 1.00-1.00), and the range for UCH-L1 was 0.50 (95% CI, 0-1.00) to 0.92 (95% CI, 0.83-1.00). CONCLUSIONS AND RELEVANCE: GFAP performed consistently in detecting MMTBI, CT lesions, and neurosurgical intervention across 7 days. UCH-L1 performed best in the early postinjury period.

Absence of oropharyngeal vaccinia virus after vaccinia (smallpox) vaccination.

BACKGROUND: With the resumption of the vaccinia (smallpox) vaccination, questions regarding transmission risk prompted this study to determine whether vaccinia virus could be detected in the oropharynx of adults recently vaccinated with vaccinia (smallpox) vaccine. German, Russian, and American studies on the oropharyngeal presence of vaccinia virus revealed conflicting results in different age groups. OBJECTIVE: To measure vaccinia viral particle or antigen presence in the oropharynx of adult health care workers after vaccination with vaccinia (smallpox) vaccine using viral culture and high-sensitivity assays (polymerase chain reaction [PCR] and electrochemiluminescence) and to determine whether there is an association between the presence of vaccinia virus and adverse reactions. METHODS: A total of 155 adults (primary vaccinees and revaccinees) were enrolled for 1 baseline and 5 subsequent throat swabs. The swabs were evaluated using viral culture, PCR, and electrochemiluminescence. RESULTS: Of the 155 participants, 144 had more than 2 throat swabs in the 2 weeks after vaccination. Of the 801 specimens evaluated, there were no positive results by culture, PCR, or electrochemiluminescence except in the control samples (n = 6), which were positive by all 3 methods. CONCLUSIONS: Based on the absence of detectable vaccinia virus in this study population, one can be 95% certain that the true rate of vaccinia virus in the oropharynx of adults during the 2 weeks after vaccination with vaccinia (smallpox) vaccine is 0% to 3.3%. These data should be reassuring to the medical community and support the Advisory Committee on Immunization Practice guidelines that respiratory precautions are not necessary after vaccinia (smallpox) vaccination in healthy adults.