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Lin E, Yuh EL. Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation. Radiol Artif Intell 2024; 6:e230077. [PMID: 38446043 DOI: 10.1148/ryai.230077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Purpose To develop and evaluate a semi-supervised learning model for intracranial hemorrhage detection and segmentation on an out-of-distribution head CT evaluation set. Materials and Methods This retrospective study used semi-supervised learning to bootstrap performance. An initial "teacher" deep learning model was trained on 457 pixel-labeled head CT scans collected from one U.S. institution from 2010 to 2017 and used to generate pseudo labels on a separate unlabeled corpus of 25 000 examinations from the Radiological Society of North America and American Society of Neuroradiology. A second "student" model was trained on this combined pixel- and pseudo-labeled dataset. Hyperparameter tuning was performed on a validation set of 93 scans. Testing for both classification (n = 481 examinations) and segmentation (n = 23 examinations, or 529 images) was performed on CQ500, a dataset of 481 scans performed in India, to evaluate out-of-distribution generalizability. The semi-supervised model was compared with a baseline model trained on only labeled data using area under the receiver operating characteristic curve, Dice similarity coefficient, and average precision metrics. Results The semi-supervised model achieved a statistically significant higher examination area under the receiver operating characteristic curve on CQ500 compared with the baseline (0.939 [95% CI: 0.938, 0.940] vs 0.907 [95% CI: 0.906, 0.908]; P = .009). It also achieved a higher Dice similarity coefficient (0.829 [95% CI: 0.825, 0.833] vs 0.809 [95% CI: 0.803, 0.812]; P = .012) and pixel average precision (0.848 [95% CI: 0.843, 0.853]) vs 0.828 [95% CI: 0.817, 0.828]) compared with the baseline. Conclusion The addition of unlabeled data in a semi-supervised learning framework demonstrates stronger generalizability potential for intracranial hemorrhage detection and segmentation compared with a supervised baseline. Keywords: Semi-supervised Learning, Traumatic Brain Injury, CT, Machine Learning Supplemental material is available for this article. Published under a CC BY 4.0 license. See also the commentary by Swimburne in this issue.
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Affiliation(s)
- Emily Lin
- From the Department of Radiology & Biomedical Imaging, University of California San Francisco, 185 Berry St, San Francisco CA 94107
| | - Esther L Yuh
- From the Department of Radiology & Biomedical Imaging, University of California San Francisco, 185 Berry St, San Francisco CA 94107
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Yue JK, Lee YM, Sun X, van Essen TA, Elguindy MM, Belton PJ, Pisică D, Mikolic A, Deng H, Kanter JH, McCrea MA, Bodien YG, Satris GG, Wong JC, Ambati VS, Grandhi R, Puccio AM, Mukherjee P, Valadka AB, Tarapore PE, Huang MC, DiGiorgio AM, Markowitz AJ, Yuh EL, Okonkwo DO, Steyerberg EW, Lingsma HF, Menon DK, Maas AIR, Jain S, Manley GT. Performance of the IMPACT and CRASH prognostic models for traumatic brain injury in a contemporary multicenter cohort: a TRACK-TBI study. J Neurosurg 2024:1-13. [PMID: 38489823 PMCID: PMC11010725 DOI: 10.3171/2023.11.jns231425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 11/16/2023] [Indexed: 03/17/2024]
Abstract
OBJECTIVE The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticosteroid Randomization After Significant Head Injury (CRASH) prognostic models for mortality and outcome after traumatic brain injury (TBI) were developed using data from 1984 to 2004. This study examined IMPACT and CRASH model performances in a contemporary cohort of US patients. METHODS The prospective 18-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study (enrollment years 2014-2018) enrolled subjects aged ≥ 17 years who presented to level I trauma centers and received head CT within 24 hours of TBI. Data were extracted from the subjects who met the model criteria (for IMPACT, Glasgow Coma Scale [GCS] score 3-12 with 6-month Glasgow Outcome Scale-Extended [GOSE] data [n = 441]; for CRASH, GCS score 3-14 with 2-week mortality data and 6-month GOSE data [n = 831]). Analyses were conducted in the overall cohort and stratified on the basis of TBI severity (severe/moderate/mild TBI defined as GCS score 3-8/9-12/13-14), age (17-64 years or ≥ 65 years), and the 5 top enrolling sites. Unfavorable outcome was defined as GOSE score 1-4. Original IMPACT and CRASH model coefficients were applied, and model performances were assessed by calibration (intercept [< 0 indicated overprediction; > 0 indicated underprediction] and slope) and discrimination (c-statistic). RESULTS Overall, the IMPACT models overpredicted mortality (intercept -0.79 [95% CI -1.05 to -0.53], slope 1.37 [1.05-1.69]) and acceptably predicted unfavorable outcome (intercept 0.07 [-0.14 to 0.29], slope 1.19 [0.96-1.42]), with good discrimination (c-statistics 0.84 and 0.83, respectively). The CRASH models overpredicted mortality (intercept -1.06 [-1.36 to -0.75], slope 0.96 [0.79-1.14]) and unfavorable outcome (intercept -0.60 [-0.78 to -0.41], slope 1.20 [1.03-1.37]), with good discrimination (c-statistics 0.92 and 0.88, respectively). IMPACT overpredicted mortality and acceptably predicted unfavorable outcome in the severe and moderate TBI subgroups, with good discrimination (c-statistic ≥ 0.81). CRASH overpredicted mortality in the severe and moderate TBI subgroups and acceptably predicted mortality in the mild TBI subgroup, with good discrimination (c-statistic ≥ 0.86); unfavorable outcome was overpredicted in the severe and mild TBI subgroups with adequate discrimination (c-statistic ≥ 0.78), whereas calibration was nonlinear in the moderate TBI subgroup. In subjects ≥ 65 years of age, the models performed variably (IMPACT-mortality, intercept 0.28, slope 0.68, and c-statistic 0.68; CRASH-unfavorable outcome, intercept -0.97, slope 1.32, and c-statistic 0.88; nonlinear calibration for IMPACT-unfavorable outcome and CRASH-mortality). Model performance differences were observed across the top enrolling sites for mortality and unfavorable outcome. CONCLUSIONS The IMPACT and CRASH models adequately discriminated mortality and unfavorable outcome. Observed overestimations of mortality and unfavorable outcome underscore the need to update prognostic models to incorporate contemporary changes in TBI management and case-mix. Investigations to elucidate the relationships between increased survival, outcome, treatment intensity, and site-specific practices will be relevant to improve models in specific TBI subpopulations (e.g., older adults), which may benefit from the inclusion of blood-based biomarkers, neuroimaging features, and treatment data.
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Affiliation(s)
- John K Yue
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Young M Lee
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Xiaoying Sun
- 3Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California, San Diego, California
| | - Thomas A van Essen
- 4University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center, Leiden, The Hague, The Netherlands
| | - Mahmoud M Elguindy
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Patrick J Belton
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Dana Pisică
- 5Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ana Mikolic
- 5Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
- 6Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hansen Deng
- 7Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - John H Kanter
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Michael A McCrea
- 8Department of Neurological Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Yelena G Bodien
- 9Department of Neurological Surgery, University of Utah Health Center, Salt Lake City, Utah
- 10Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Gabriela G Satris
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Justin C Wong
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Vardhaan S Ambati
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Ramesh Grandhi
- 11Department of Rehabilitation Medicine, Spaulding Rehabilitation Hospital, Boston, Massachusetts
| | - Ava M Puccio
- 7Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Pratik Mukherjee
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- 12Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Alex B Valadka
- 13Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Phiroz E Tarapore
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Michael C Huang
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Anthony M DiGiorgio
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- 14Institute of Health Policy Studies, University of California, San Francisco, California
| | - Amy J Markowitz
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Esther L Yuh
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- 12Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - David O Okonkwo
- 7Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Ewout W Steyerberg
- 15Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Hester F Lingsma
- 5Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - David K Menon
- 16Division of Anesthesia, Department of Medicine, University of Cambridge, United Kingdom; and
| | - Andrew I R Maas
- 17Department of Neurological Surgery, Antwerp University Hospital and University of Antwerp, Belgium
| | - Sonia Jain
- 3Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California, San Diego, California
| | - Geoffrey T Manley
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
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Puccio AM, Yue JK, Korley FK, Okonkwo DO, Diaz-Arrastia R, Yuh EL, Ferguson AR, Mukherjee P, Wang KKW, Taylor SR, Deng H, Markowitz AJ, Sun X, Jain S, Manley GT. Diagnostic Utility of Glial Fibrillary Acidic Protein Beyond 12 Hours After Traumatic Brain Injury: A TRACK-TBI Study. J Neurotrauma 2024. [PMID: 38251868 DOI: 10.1089/neu.2023.0186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024] Open
Abstract
Blood levels of glial fibrillary acidic protein (GFAP) and ubiquitin carboxyl-terminal hydrolase-L1 (UCH-L1) within 12h of suspected traumatic brain injury (TBI) have been approved by the Food and Drug administration to aid in determining the need for a brain computed tomography (CT) scan. The current study aimed to determine whether this context of use can be expanded beyond 12h post-TBI in patients presenting with Glasgow Coma Scale (GCS) 13-15. The prospective, 18-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled TBI participants aged ≥17 years who presented to a United States Level 1 trauma center and received a clinically indicated brain CT scan within 24h post-injury, a blood draw within 24h and at 14 days for biomarker analysis. Data from participants with emergency department arrival GCS 13-15 and biomarker values at days 1 and 14 were extracted for the primary analysis. A subgroup of hospitalized participants with serial biomarkers at days 1, 3, 5, and 14 were analyzed, including plasma GFAP and UCH-L1, and serum neuron-specific enolase (NSE) and S100 calcium-binding protein B (S100B). The primary analysis compared biomarker values dichotomized by head CT results (CT+/CT-). Area under receiver-operating characteristic curve (AUC) was used to determine diagnostic accuracy. The overall cohort included 1142 participants with initial GCS 13-15, with mean age 39.8 years, 65% male, and 73% Caucasian. The GFAP provided good discrimination in the overall cohort at days 1 (AUC = 0.82) and 14 (AUC = 0.72), and in the hospitalized subgroup at days 1 (AUC = 0.84), 3 (AUC = 0.88), 5 (AUC = 0.82), and 14 (AUC = 0.74). The UCH-L1, NSE, and S100B did not perform well (AUC = 0.51-0.57 across time points). This study demonstrates the utility of GFAP to aid in decision-making for diagnostic brain CT imaging beyond the 12h time frame in patients with TBI who have a GCS 13-15.
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Affiliation(s)
- Ava M Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - John K Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | - Frederick K Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Esther L Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Adam R Ferguson
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Kevin K W Wang
- Center for Neurotrauma, Multiomics and Biomarkers, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Sabrina R Taylor
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Amy J Markowitz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, California, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
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4
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Cai LT, Brett BL, Palacios EM, Yuh EL, Bourla I, Wren-Jarvis J, Wang Y, Mac Donald C, Diaz-Arrastia R, Giacino JT, Okonkwo DO, Levin HS, Robertson CS, Temkin N, Markowitz AJ, Manley GT, Stein MB, McCrea MA, Zafonte RD, Nelson LD, Mukherjee P. Emotional Resilience Predicts Preserved White Matter Microstructure Following Mild Traumatic Brain Injury. Biol Psychiatry Cogn Neurosci Neuroimaging 2024; 9:164-175. [PMID: 36152948 PMCID: PMC10065831 DOI: 10.1016/j.bpsc.2022.08.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/12/2022] [Accepted: 08/31/2022] [Indexed: 01/31/2023]
Abstract
BACKGROUND Adult patients with mild traumatic brain injury (mTBI) exhibit distinct phenotypes of emotional and cognitive functioning identified by latent profile analysis of clinical neuropsychological assessments. When discerned early after injury, these latent clinical profiles have been found to improve prediction of long-term outcomes from mTBI. The present study hypothesized that white matter (WM) microstructure is better preserved in an emotionally resilient mTBI phenotype compared with a neuropsychiatrically distressed mTBI phenotype. METHODS The present study used diffusion magnetic resonance imaging to investigate and compare WM microstructure in major association, projection, and commissural tracts between the two phenotypes and over time. Diffusion magnetic resonance images from 172 patients with mTBI were analyzed to compute individual diffusion tensor imaging maps at 2 weeks and 6 months after injury. RESULTS By comparing the diffusion tensor imaging parameters between the two phenotypes at global, regional, and voxel levels, emotionally resilient patients were shown to have higher axial diffusivity compared with neuropsychiatrically distressed patients early after mTBI. Longitudinal analysis revealed greater compromise of WM microstructure in neuropsychiatrically distressed patients, with greater decrease of global axial diffusivity and more widespread decrease of regional axial diffusivity during the first 6 months after injury compared with emotionally resilient patients. CONCLUSIONS These results provide neuroimaging evidence of WM microstructural differences underpinning mTBI phenotypes identified from neuropsychological assessments and show differing longitudinal trajectories of these biological effects. These findings suggest that diffusion magnetic resonance imaging can provide short- and long-term imaging biomarkers of resilience.
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Affiliation(s)
- Lanya T Cai
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Benjamin L Brett
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Eva M Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Ioanna Bourla
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Jamie Wren-Jarvis
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Yang Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Christine Mac Donald
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Ramon Diaz-Arrastia
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts
| | - David O Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Harvey S Levin
- Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Amy J Markowitz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Geoffrey T Manley
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, San Diego, California
| | - Michael A McCrea
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ross D Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lindsay D Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
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Tritt A, Yue JK, Ferguson AR, Torres Espin A, Nelson LD, Yuh EL, Markowitz AJ, Manley GT, Bouchard KE. Data-driven distillation and precision prognosis in traumatic brain injury with interpretable machine learning. Sci Rep 2023; 13:21200. [PMID: 38040784 PMCID: PMC10692236 DOI: 10.1038/s41598-023-48054-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 11/21/2023] [Indexed: 12/03/2023] Open
Abstract
Traumatic brain injury (TBI) affects how the brain functions in the short and long term. Resulting patient outcomes across physical, cognitive, and psychological domains are complex and often difficult to predict. Major challenges to developing personalized treatment for TBI include distilling large quantities of complex data and increasing the precision with which patient outcome prediction (prognoses) can be rendered. We developed and applied interpretable machine learning methods to TBI patient data. We show that complex data describing TBI patients' intake characteristics and outcome phenotypes can be distilled to smaller sets of clinically interpretable latent factors. We demonstrate that 19 clusters of TBI outcomes can be predicted from intake data, a ~ 6× improvement in precision over clinical standards. Finally, we show that 36% of the outcome variance across patients can be predicted. These results demonstrate the importance of interpretable machine learning applied to deeply characterized patients for data-driven distillation and precision prognosis.
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Affiliation(s)
- Andrew Tritt
- Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - John K Yue
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
- Department of Neurosurgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Adam R Ferguson
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
- Department of Neurosurgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - Abel Torres Espin
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
- Department of Neurosurgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Lindsay D Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Esther L Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
- Department of Neurosurgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Amy J Markowitz
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
- Department of Neurosurgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
- Department of Neurosurgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Weill Neurohub, University of California San Francisco, San Francisco, CA, USA
- Weill Neurohub, University of California Berkeley, Berkeley, CA, USA
| | - Kristofer E Bouchard
- Weill Neurohub, University of California Berkeley, Berkeley, CA, USA.
- Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience, University of California Berkeley, Berkeley, CA, USA.
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Lin E, Yuh EL. Beyond the AJR: Exploring the Yield of Head CT in Patients With Altered Mental Status. AJR Am J Roentgenol 2023; 221:698. [PMID: 36883771 DOI: 10.2214/ajr.23.29159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Affiliation(s)
- Emily Lin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143
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7
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Etemad LL, Yue JK, Barber J, Nelson LD, Bodien YG, Satris GG, Belton PJ, Madhok DY, Huie JR, Hamidi S, Tracey JX, Coskun BC, Wong JC, Yuh EL, Mukherjee P, Markowitz AJ, Huang MC, Tarapore PE, Robertson CS, Diaz-Arrastia R, Stein MB, Ferguson AR, Puccio AM, Okonkwo DO, Giacino JT, McCrea MA, Manley GT, Temkin NR, DiGiorgio AM. Longitudinal Recovery Following Repetitive Traumatic Brain Injury. JAMA Netw Open 2023; 6:e2335804. [PMID: 37751204 PMCID: PMC10523170 DOI: 10.1001/jamanetworkopen.2023.35804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 08/21/2023] [Indexed: 09/27/2023] Open
Abstract
Importance One traumatic brain injury (TBI) increases the risk of subsequent TBIs. Research on longitudinal outcomes of civilian repetitive TBIs is limited. Objective To investigate associations between sustaining 1 or more TBIs (ie, postindex TBIs) after study enrollment (ie, index TBIs) and multidimensional outcomes at 1 year and 3 to 7 years. Design, Setting, and Participants This cohort study included participants presenting to emergency departments enrolled within 24 hours of TBI in the prospective, 18-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study (enrollment years, February 2014 to July 2020). Participants who completed outcome assessments at 1 year and 3 to 7 years were included. Data were analyzed from September 2022 to August 2023. Exposures Postindex TBI(s). Main Outcomes and Measures Demographic and clinical factors, prior TBI (ie, preindex TBI), and functional (Glasgow Outcome Scale-Extended [GOSE]), postconcussive (Rivermead Post-Concussion Symptoms Questionnaire [RPQ]), psychological distress (Brief Symptom Inventory-18 [BSI-18]), depressive (Patient Health Questionnaire-9 [PHQ-9]), posttraumatic stress disorder (PTSD; PTSD Checklist for DSM-5 [PCL-5]), and health-related quality-of-life (Quality of Life After Brain Injury-Overall Scale [QOLIBRI-OS]) outcomes were assessed. Adjusted mean differences (aMDs) and adjusted relative risks are reported with 95% CIs. Results Of 2417 TRACK-TBI participants, 1572 completed the outcomes assessment at 1 year (1049 [66.7%] male; mean [SD] age, 41.6 [17.5] years) and 1084 completed the outcomes assessment at 3 to 7 years (714 [65.9%] male; mean [SD] age, 40.6 [17.0] years). At 1 year, a total of 60 participants (4%) were Asian, 255 (16%) were Black, 1213 (77%) were White, 39 (2%) were another race, and 5 (0.3%) had unknown race. At 3 to 7 years, 39 (4%) were Asian, 149 (14%) were Black, 868 (80%) were White, 26 (2%) had another race, and 2 (0.2%) had unknown race. A total of 50 (3.2%) and 132 (12.2%) reported 1 or more postindex TBIs at 1 year and 3 to 7 years, respectively. Risk factors for postindex TBI were psychiatric history, preindex TBI, and extracranial injury severity. At 1 year, compared with those without postindex TBI, participants with postindex TBI had worse functional recovery (GOSE score of 8: adjusted relative risk, 0.57; 95% CI, 0.34-0.96) and health-related quality of life (QOLIBRI-OS: aMD, -15.9; 95% CI, -22.6 to -9.1), and greater postconcussive symptoms (RPQ: aMD, 8.1; 95% CI, 4.2-11.9), psychological distress symptoms (BSI-18: aMD, 5.3; 95% CI, 2.1-8.6), depression symptoms (PHQ-9: aMD, 3.0; 95% CI, 1.5-4.4), and PTSD symptoms (PCL-5: aMD, 7.8; 95% CI, 3.2-12.4). At 3 to 7 years, these associations remained statistically significant. Multiple (2 or more) postindex TBIs were associated with poorer outcomes across all domains. Conclusions and Relevance In this cohort study of patients with acute TBI, postindex TBI was associated with worse symptomatology across outcome domains at 1 year and 3 to 7 years postinjury, and there was a dose-dependent response with multiple postindex TBIs. These results underscore the critical need to provide TBI prevention, education, counseling, and follow-up care to at-risk patients.
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Affiliation(s)
- Leila L. Etemad
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - John K. Yue
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Jason Barber
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle
| | - Lindsay D. Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Yelena G. Bodien
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Gabriela G. Satris
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Patrick J. Belton
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Debbie Y. Madhok
- Department of Emergency Medicine, University of California, San Francisco
| | - J. Russell Huie
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Sabah Hamidi
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Joye X. Tracey
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Bukre C. Coskun
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Justin C. Wong
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Michael C. Huang
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Phiroz E. Tarapore
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | | | | | - Murray B. Stein
- Department of Psychiatry, University of California, San Diego
| | - Adam R. Ferguson
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- San Francisco Veterans Affairs Healthcare System, San Francisco, California
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Joseph T. Giacino
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Michael A. McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Nancy R. Temkin
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Institute of Health Policy Studies, University of California, San Francisco
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8
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Yue JK, Krishnan N, Kanter JH, Deng H, Okonkwo DO, Puccio AM, Madhok DY, Belton PJ, Lindquist BE, Satris GG, Lee YM, Umbach G, Duhaime AC, Mukherjee P, Yuh EL, Valadka AB, DiGiorgio AM, Tarapore PE, Huang MC, Manley GT, Investigators TTRACKTBI. Neuroworsening in the Emergency Department Is a Predictor of Traumatic Brain Injury Intervention and Outcome: A TRACK-TBI Pilot Study. J Clin Med 2023; 12:2024. [PMID: 36902811 PMCID: PMC10004432 DOI: 10.3390/jcm12052024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/02/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
INTRODUCTION Neuroworsening may be a sign of progressive brain injury and is a factor for treatment of traumatic brain injury (TBI) in intensive care settings. The implications of neuroworsening for clinical management and long-term sequelae of TBI in the emergency department (ED) require characterization. METHODS Adult TBI subjects from the prospective Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot Study with ED admission and disposition Glasgow Coma Scale (GCS) scores were extracted. All patients received head computed tomography (CT) scan <24 h post-injury. Neuroworsening was defined as a decline in motor GCS at ED disposition (vs. ED admission). Clinical and CT characteristics, neurosurgical intervention, in-hospital mortality, and 3- and 6-month Glasgow Outcome Scale-Extended (GOS-E) scores were compared by neuroworsening status. Multivariable regressions were performed for neurosurgical intervention and unfavorable outcome (GOS-E ≤ 3). Multivariable odds ratios (mOR) with [95% confidence intervals] were reported. RESULTS In 481 subjects, 91.1% had ED admission GCS 13-15 and 3.3% had neuroworsening. All neuroworsening subjects were admitted to intensive care unit (vs. non-neuroworsening: 26.2%) and were CT-positive for structural injury (vs. 45.4%). Neuroworsening was associated with subdural (75.0%/22.2%), subarachnoid (81.3%/31.2%), and intraventricular hemorrhage (18.8%/2.2%), contusion (68.8%/20.4%), midline shift (50.0%/2.6%), cisternal compression (56.3%/5.6%), and cerebral edema (68.8%/12.3%; all p < 0.001). Neuroworsening subjects had higher likelihoods of cranial surgery (56.3%/3.5%), intracranial pressure (ICP) monitoring (62.5%/2.6%), in-hospital mortality (37.5%/0.6%), and unfavorable 3- and 6-month outcome (58.3%/4.9%; 53.8%/6.2%; all p < 0.001). On multivariable analysis, neuroworsening predicted surgery (mOR = 4.65 [1.02-21.19]), ICP monitoring (mOR = 15.48 [2.92-81.85], and unfavorable 3- and 6-month outcome (mOR = 5.36 [1.13-25.36]; mOR = 5.68 [1.18-27.35]). CONCLUSIONS Neuroworsening in the ED is an early indicator of TBI severity, and a predictor of neurosurgical intervention and unfavorable outcome. Clinicians must be vigilant in detecting neuroworsening, as affected patients are at increased risk for poor outcomes and may benefit from immediate therapeutic interventions.
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Affiliation(s)
- John K. Yue
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Nishanth Krishnan
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - John H. Kanter
- Section of Neurological Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH 03766, USA
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Debbie Y. Madhok
- Department of Emergency Medicine, University of California San Francisco, San Francisco, CA 94110, USA
| | - Patrick J. Belton
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Britta E. Lindquist
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA 94110, USA
| | - Gabriela G. Satris
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Young M. Lee
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Gray Umbach
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Ann-Christine Duhaime
- Department of Neurological Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94110, USA
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94110, USA
| | - Alex B. Valadka
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA 94158, USA
| | - Phiroz E. Tarapore
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Michael C. Huang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
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9
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Yue JK, Kobeissy FH, Jain S, Sun X, Phelps RR, Korley FK, Gardner RC, Ferguson AR, Huie JR, Schneider AL, Yang Z, Xu H, Lynch CE, Deng H, Rabinowitz M, Vassar MJ, Taylor SR, Mukherjee P, Yuh EL, Markowitz AJ, Puccio AM, Okonkwo DO, Diaz-Arrastia R, Manley GT, Wang KK. Neuroinflammatory Biomarkers for Traumatic Brain Injury Diagnosis and Prognosis: A TRACK-TBI Pilot Study. Neurotrauma Rep 2023; 4:171-183. [PMID: 36974122 PMCID: PMC10039275 DOI: 10.1089/neur.2022.0060] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
The relationship between systemic inflammation and secondary injury in traumatic brain injury (TBI) is complex. We investigated associations between inflammatory markers and clinical confirmation of TBI diagnosis and prognosis. The prospective TRACK-TBI Pilot (Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot) study enrolled TBI patients triaged to head computed tomography (CT) and received blood draw within 24 h of injury. Healthy controls (HCs) and orthopedic controls (OCs) were included. Thirty-one inflammatory markers were analyzed from plasma. Area under the receiver operating characteristic curve (AUC) was used to evaluate discriminatory ability. AUC >0.7 was considered acceptable. Criteria included: TBI diagnosis (vs. OC/HC); moderate/severe vs. mild TBI (Glasgow Coma Scale; GCS); radiographic TBI (CT positive vs. CT negative); 3- and 6-month Glasgow Outcome Scale-Extended (GOSE) dichotomized to death/greater relative disability versus less relative disability (GOSE 1-4/5-8); and incomplete versus full recovery (GOSE <8/ = 8). One-hundred sixty TBI subjects, 28 OCs, and 18 HCs were included. Markers discriminating TBI/OC: HMGB-1 (AUC = 0.835), IL-1b (0.795), IL-16 (0.784), IL-7 (0.742), and TARC (0.731). Markers discriminating GCS 3-12/13-15: IL-6 (AUC = 0.747), CRP (0.726), IL-15 (0.720), and SAA (0.716). Markers discriminating CT positive/CT negative: SAA (AUC = 0.767), IL-6 (0.757), CRP (0.733), and IL-15 (0.724). At 3 months, IL-15 (AUC = 0.738) and IL-2 (0.705) discriminated GOSE 5-8/1-4. At 6 months, IL-15 discriminated GOSE 1-4/5-8 (AUC = 0.704) and GOSE <8/ = 8 (0.711); SAA discriminated GOSE 1-4/5-8 (0.704). We identified a profile of acute circulating inflammatory proteins with potential relevance for TBI diagnosis, severity differentiation, and prognosis. IL-15 and serum amyloid A are priority markers with acceptable discrimination across multiple diagnostic and outcome categories. Validation in larger prospective cohorts is needed. ClinicalTrials.gov Registration: NCT01565551.
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Affiliation(s)
- John K. Yue
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Address correspondence to: John K. Yue, MD, Department of Neurosurgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA 94143, USA.
| | - Firas H. Kobeissy
- Departments of Emergency Medicine, Psychiatry, Neuroscience, and Chemistry, University of Florida, Gainesville, Florida, USA
- McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
- Center for Neurotrauma, Multiomics and Biomarkers, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Sonia Jain
- Division of Biostatistics and Bioinformatics, Departments of Family Medicine and Public Health, University of California, San Diego, San Diego, California, USA
| | - Xiaoying Sun
- Division of Biostatistics and Bioinformatics, Departments of Family Medicine and Public Health, University of California, San Diego, San Diego, California, USA
| | - Ryan R.L. Phelps
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Frederick K. Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Raquel C. Gardner
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Adam R. Ferguson
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - J. Russell Huie
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Andrea L.C. Schneider
- Department of Neurology, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Zhihui Yang
- Departments of Emergency Medicine, Psychiatry, Neuroscience, and Chemistry, University of Florida, Gainesville, Florida, USA
- McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Haiyan Xu
- Departments of Emergency Medicine, Psychiatry, Neuroscience, and Chemistry, University of Florida, Gainesville, Florida, USA
- McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Cillian E. Lynch
- Department of Neurology, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Hansen Deng
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Miri Rabinowitz
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Mary J. Vassar
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Sabrina R. Taylor
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Amy J. Markowitz
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Ava M. Puccio
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - David O. Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Geoffrey T. Manley
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Kevin K.W. Wang
- Departments of Emergency Medicine, Psychiatry, Neuroscience, and Chemistry, University of Florida, Gainesville, Florida, USA
- McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
- Center for Neurotrauma, Multiomics and Biomarkers, Morehouse School of Medicine, Atlanta, Georgia, USA
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10
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Gardner RC, Puccio AM, Korley FK, Wang KKW, Diaz-Arrastia R, Okonkwo DO, Puffer RC, Yuh EL, Yue JK, Sun X, Taylor SR, Mukherjee P, Jain S, Manley GT, Ferguson AR, Gaudette E, Shankar GC, Keene D, Madden C, Martin A, McCrea M, Merchant R, Mukherjee P, Ngwenya LB, Robertson C, Temkin N, Vassar M, Yue JK, Zafonte R. Effects of age and time since injury on traumatic brain injury blood biomarkers: a TRACK-TBI study. Brain Commun 2022; 5:fcac316. [PMID: 36642999 PMCID: PMC9832515 DOI: 10.1093/braincomms/fcac316] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 09/07/2022] [Accepted: 11/30/2022] [Indexed: 12/03/2022] Open
Abstract
Older adults have the highest incidence of traumatic brain injury globally. Accurate blood-based biomarkers are needed to assist with diagnosis of patients across the spectrum of age and time post-injury. Several reports have suggested lower accuracy for blood-based biomarkers in older adults, and there is a paucity of data beyond day-1 post-injury. Our aims were to investigate age-related differences in diagnostic accuracy and 2-week evolution of four leading candidate blood-based traumatic brain injury biomarkers-plasma glial fibrillary acidic protein, ubiquitin carboxy-terminal hydrolase L1, S100 calcium binding protein B and neuron-specific enolase-among participants in the 18-site prospective cohort study Transforming Research And Clinical Knowledge in Traumatic Brain Injury. Day-1 biomarker data were available for 2602 participants including 2151 patients with traumatic brain injury, 242 orthopedic trauma controls and 209 healthy controls. Participants were stratified into 3 age categories (young: 17-39 years, middle-aged: 40-64 years, older: 65-90 years). We investigated age-stratified biomarker levels and biomarker discriminative abilities across three diagnostic groups: head CT-positive/negative; traumatic brain injury/orthopedic controls; and traumatic brain injury/healthy controls. The difference in day-1 glial fibrillary acidic protein, ubiquitin carboxy-terminal hydrolase L1 and neuron-specific enolase levels across most diagnostic groups was significantly smaller for older versus younger adults, resulting in a narrower range within which a traumatic brain injury diagnosis may be discriminated in older adults. Despite this, day-1 glial fibrillary acidic protein had good to excellent performance across all age-categories for discriminating all three diagnostic groups (area under the curve 0.84-0.96; lower limit of 95% confidence intervals all >0.78). Day-1 S100 calcium-binding protein B and ubiquitin carboxy-terminal hydrolase L1 showed good discrimination of CT-positive versus negative only among adults under age 40 years within 6 hours of injury. Longitudinal blood-based biomarker data were available for 522 hospitalized patients with traumatic brain injury and 24 hospitalized orthopaedic controls. Glial fibrillary acidic protein levels maintained good to excellent discrimination across diagnostic groups until day 3 post-injury irrespective of age, until day 5 post-injury among middle-aged or younger patients and until week 2 post-injury among young patients only. In conclusion, the blood-based glial fibrillary acidic protein assay tested here has good to excellent performance across all age-categories for discriminating key traumatic brain injury diagnostic groups to at least 3 days post-injury in this trauma centre cohort. The addition of a blood-based diagnostic to the evaluation of traumatic brain injury, including geriatric traumatic brain injury, has potential to streamline diagnosis.
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Affiliation(s)
- Raquel C Gardner
- Correspondence to: Raquel C. Gardner, MD Sheba Medical Center, Derech Sheba 2 Ramat Gan, Israel 52621 E-mail:
| | - Ava M Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Frederick K Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kevin K W Wang
- Departments of Emergency Medicine, Psychiatry, and Neuroscience, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA,Brain Rehabilitation Research Center (BRRC), Malcom Randall VA Medical Center, North Florida/South Georgia Veterans Health System, 1601 SW Archer Rd., 32608, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Ross C Puffer
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA,Department of Neurological Surgery, Mayo Clinic, Rochester, MN 55901, USA
| | - Esther L Yuh
- Department of Radiology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - John K Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Xiaoying Sun
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA 92161, USA
| | - Sabrina R Taylor
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Pratik Mukherjee
- Department of Radiology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Sonia Jain
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA 92161, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
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Maas AIR, Menon DK, Manley GT, Abrams M, Åkerlund C, Andelic N, Aries M, Bashford T, Bell MJ, Bodien YG, Brett BL, Büki A, Chesnut RM, Citerio G, Clark D, Clasby B, Cooper DJ, Czeiter E, Czosnyka M, Dams-O’Connor K, De Keyser V, Diaz-Arrastia R, Ercole A, van Essen TA, Falvey É, Ferguson AR, Figaji A, Fitzgerald M, Foreman B, Gantner D, Gao G, Giacino J, Gravesteijn B, Guiza F, Gupta D, Gurnell M, Haagsma JA, Hammond FM, Hawryluk G, Hutchinson P, van der Jagt M, Jain S, Jain S, Jiang JY, Kent H, Kolias A, Kompanje EJO, Lecky F, Lingsma HF, Maegele M, Majdan M, Markowitz A, McCrea M, Meyfroidt G, Mikolić A, Mondello S, Mukherjee P, Nelson D, Nelson LD, Newcombe V, Okonkwo D, Orešič M, Peul W, Pisică D, Polinder S, Ponsford J, Puybasset L, Raj R, Robba C, Røe C, Rosand J, Schueler P, Sharp DJ, Smielewski P, Stein MB, von Steinbüchel N, Stewart W, Steyerberg EW, Stocchetti N, Temkin N, Tenovuo O, Theadom A, Thomas I, Espin AT, Turgeon AF, Unterberg A, Van Praag D, van Veen E, Verheyden J, Vyvere TV, Wang KKW, Wiegers EJA, Williams WH, Wilson L, Wisniewski SR, Younsi A, Yue JK, Yuh EL, Zeiler FA, Zeldovich M, Zemek R. Traumatic brain injury: progress and challenges in prevention, clinical care, and research. Lancet Neurol 2022; 21:1004-1060. [PMID: 36183712 PMCID: PMC10427240 DOI: 10.1016/s1474-4422(22)00309-x] [Citation(s) in RCA: 168] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 07/22/2022] [Indexed: 02/06/2023]
Abstract
Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term consequences, including an increased risk of late-onset neurodegeneration. The first Lancet Neurology Commission on TBI, published in 2017, called for a concerted effort to tackle the global health problem posed by TBI. Since then, funding agencies have supported research both in high-income countries (HICs) and in low-income and middle-income countries (LMICs). In November 2020, the World Health Assembly, the decision-making body of WHO, passed resolution WHA73.10 for global actions on epilepsy and other neurological disorders, and WHO launched the Decade for Action on Road Safety plan in 2021. New knowledge has been generated by large observational studies, including those conducted under the umbrella of the International Traumatic Brain Injury Research (InTBIR) initiative, established as a collaboration of funding agencies in 2011. InTBIR has also provided a huge stimulus to collaborative research in TBI and has facilitated participation of global partners. The return on investment has been high, but many needs of patients with TBI remain unaddressed. This update to the 2017 Commission presents advances and discusses persisting and new challenges in prevention, clinical care, and research. In LMICs, the occurrence of TBI is driven by road traffic incidents, often involving vulnerable road users such as motorcyclists and pedestrians. In HICs, most TBI is caused by falls, particularly in older people (aged ≥65 years), who often have comorbidities. Risk factors such as frailty and alcohol misuse provide opportunities for targeted prevention actions. Little evidence exists to inform treatment of older patients, who have been commonly excluded from past clinical trials—consequently, appropriate evidence is urgently required. Although increasing age is associated with worse outcomes from TBI, age should not dictate limitations in therapy. However, patients injured by low-energy falls (who are mostly older people) are about 50% less likely to receive critical care or emergency interventions, compared with those injured by high-energy mechanisms, such as road traffic incidents. Mild TBI, defined as a Glasgow Coma sum score of 13–15, comprises most of the TBI cases (over 90%) presenting to hospital. Around 50% of adult patients with mild TBI presenting to hospital do not recover to pre-TBI levels of health by 6 months after their injury. Fewer than 10% of patients discharged after presenting to an emergency department for TBI in Europe currently receive follow-up. Structured follow-up after mild TBI should be considered good practice, and urgent research is needed to identify which patients with mild TBI are at risk for incomplete recovery. The selection of patients for CT is an important triage decision in mild TBI since it allows early identification of lesions that can trigger hospital admission or life-saving surgery. Current decision making for deciding on CT is inefficient, with 90–95% of scanned patients showing no intracranial injury but being subjected to radiation risks. InTBIR studies have shown that measurement of blood-based biomarkers adds value to previously proposed clinical decision rules, holding the potential to improve efficiency while reducing radiation exposure. Increased concentrations of biomarkers in the blood of patients with a normal presentation CT scan suggest structural brain damage, which is seen on MR scanning in up to 30% of patients with mild TBI. Advanced MRI, including diffusion tensor imaging and volumetric analyses, can identify additional injuries not detectable by visual inspection of standard clinical MR images. Thus, the absence of CT abnormalities does not exclude structural damage—an observation relevant to litigation procedures, to management of mild TBI, and when CT scans are insufficient to explain the severity of the clinical condition. Although blood-based protein biomarkers have been shown to have important roles in the evaluation of TBI, most available assays are for research use only. To date, there is only one vendor of such assays with regulatory clearance in Europe and the USA with an indication to rule out the need for CT imaging for patients with suspected TBI. Regulatory clearance is provided for a combination of biomarkers, although evidence is accumulating that a single biomarker can perform as well as a combination. Additional biomarkers and more clinical-use platforms are on the horizon, but cross-platform harmonisation of results is needed. Health-care efficiency would benefit from diversity in providers. In the intensive care setting, automated analysis of blood pressure and intracranial pressure with calculation of derived parameters can help individualise management of TBI. Interest in the identification of subgroups of patients who might benefit more from some specific therapeutic approaches than others represents a welcome shift towards precision medicine. Comparative-effectiveness research to identify best practice has delivered on expectations for providing evidence in support of best practices, both in adult and paediatric patients with TBI. Progress has also been made in improving outcome assessment after TBI. Key instruments have been translated into up to 20 languages and linguistically validated, and are now internationally available for clinical and research use. TBI affects multiple domains of functioning, and outcomes are affected by personal characteristics and life-course events, consistent with a multifactorial bio-psycho-socio-ecological model of TBI, as presented in the US National Academies of Sciences, Engineering, and Medicine (NASEM) 2022 report. Multidimensional assessment is desirable and might be best based on measurement of global functional impairment. More work is required to develop and implement recommendations for multidimensional assessment. Prediction of outcome is relevant to patients and their families, and can facilitate the benchmarking of quality of care. InTBIR studies have identified new building blocks (eg, blood biomarkers and quantitative CT analysis) to refine existing prognostic models. Further improvement in prognostication could come from MRI, genetics, and the integration of dynamic changes in patient status after presentation. Neurotrauma researchers traditionally seek translation of their research findings through publications, clinical guidelines, and industry collaborations. However, to effectively impact clinical care and outcome, interactions are also needed with research funders, regulators, and policy makers, and partnership with patient organisations. Such interactions are increasingly taking place, with exemplars including interactions with the All Party Parliamentary Group on Acquired Brain Injury in the UK, the production of the NASEM report in the USA, and interactions with the US Food and Drug Administration. More interactions should be encouraged, and future discussions with regulators should include debates around consent from patients with acute mental incapacity and data sharing. Data sharing is strongly advocated by funding agencies. From January 2023, the US National Institutes of Health will require upload of research data into public repositories, but the EU requires data controllers to safeguard data security and privacy regulation. The tension between open data-sharing and adherence to privacy regulation could be resolved by cross-dataset analyses on federated platforms, with the data remaining at their original safe location. Tools already exist for conventional statistical analyses on federated platforms, however federated machine learning requires further development. Support for further development of federated platforms, and neuroinformatics more generally, should be a priority. This update to the 2017 Commission presents new insights and challenges across a range of topics around TBI: epidemiology and prevention (section 1 ); system of care (section 2 ); clinical management (section 3 ); characterisation of TBI (section 4 ); outcome assessment (section 5 ); prognosis (Section 6 ); and new directions for acquiring and implementing evidence (section 7 ). Table 1 summarises key messages from this Commission and proposes recommendations for the way forward to advance research and clinical management of TBI.
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Affiliation(s)
- Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Mathew Abrams
- International Neuroinformatics Coordinating Facility, Karolinska Institutet, Stockholm, Sweden
| | - Cecilia Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Nada Andelic
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Marcel Aries
- Department of Intensive Care, Maastricht UMC, Maastricht, Netherlands
| | - Tom Bashford
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Michael J Bell
- Critical Care Medicine, Neurological Surgery and Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Yelena G Bodien
- Department of Neurology and Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - András Büki
- Department of Neurosurgery, Faculty of Medicine and Health Örebro University, Örebro, Sweden
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Randall M Chesnut
- Department of Neurological Surgery and Department of Orthopaedics and Sports Medicine, University of Washington, Harborview Medical Center, Seattle, WA, USA
| | - Giuseppe Citerio
- School of Medicine and Surgery, Universita Milano Bicocca, Milan, Italy
- NeuroIntensive Care, San Gerardo Hospital, Azienda Socio Sanitaria Territoriale (ASST) Monza, Monza, Italy
| | - David Clark
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Betony Clasby
- Department of Sociological Studies, University of Sheffield, Sheffield, UK
| | - D Jamie Cooper
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Endre Czeiter
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Marek Czosnyka
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance and Department of Neurology, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Véronique De Keyser
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Ramon Diaz-Arrastia
- Department of Neurology and Center for Brain Injury and Repair, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Thomas A van Essen
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, Netherlands
| | - Éanna Falvey
- College of Medicine and Health, University College Cork, Cork, Ireland
| | - Adam R Ferguson
- Brain and Spinal Injury Center, Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco and San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - Anthony Figaji
- Division of Neurosurgery and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
- Perron Institute for Neurological and Translational Sciences, Nedlands, WA, Australia
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati Gardner Neuroscience Institute, University of Cincinnati, Cincinnati, OH, USA
| | - Dashiell Gantner
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Guoyi Gao
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine
| | - Joseph Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School and Spaulding Rehabilitation Hospital, Charlestown, MA, USA
| | - Benjamin Gravesteijn
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fabian Guiza
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Deepak Gupta
- Department of Neurosurgery, Neurosciences Centre and JPN Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Mark Gurnell
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Juanita A Haagsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Rehabilitation Hospital of Indiana, Indianapolis, IN, USA
| | - Gregory Hawryluk
- Section of Neurosurgery, GB1, Health Sciences Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Peter Hutchinson
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health, University of California, San Diego, CA, USA
| | - Swati Jain
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Ji-yao Jiang
- Department of Neurosurgery, Shanghai Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hope Kent
- Department of Psychology, University of Exeter, Exeter, UK
| | - Angelos Kolias
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Erwin J O Kompanje
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fiona Lecky
- Centre for Urgent and Emergency Care Research, Health Services Research Section, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marc Maegele
- Cologne-Merheim Medical Center, Department of Trauma and Orthopedic Surgery, Witten/Herdecke University, Cologne, Germany
| | - Marek Majdan
- Institute for Global Health and Epidemiology, Department of Public Health, Faculty of Health Sciences and Social Work, Trnava University, Trnava, Slovakia
| | - Amy Markowitz
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Michael McCrea
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Ana Mikolić
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - David Nelson
- Section for Anesthesiology and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Lindsay D Nelson
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Virginia Newcombe
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - David Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matej Orešič
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Wilco Peul
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
| | - Dana Pisică
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Suzanne Polinder
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Research Centre, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Louis Puybasset
- Department of Anesthesiology and Intensive Care, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rahul Raj
- Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Chiara Robba
- Department of Anaesthesia and Intensive Care, Policlinico San Martino IRCCS for Oncology and Neuroscience, Genova, Italy, and Dipartimento di Scienze Chirurgiche e Diagnostiche, University of Genoa, Italy
| | - Cecilie Røe
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - David J Sharp
- Department of Brain Sciences, Imperial College London, London, UK
| | - Peter Smielewski
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Murray B Stein
- Department of Psychiatry and Department of Family Medicine and Public Health, UCSD School of Medicine, La Jolla, CA, USA
| | - Nicole von Steinbüchel
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - William Stewart
- Department of Neuropathology, Queen Elizabeth University Hospital and University of Glasgow, Glasgow, UK
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences Leiden University Medical Center, Leiden, Netherlands
| | - Nino Stocchetti
- Department of Pathophysiology and Transplantation, Milan University, and Neuroscience ICU, Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Nancy Temkin
- Departments of Neurological Surgery, and Biostatistics, University of Washington, Seattle, WA, USA
| | - Olli Tenovuo
- Department of Rehabilitation and Brain Trauma, Turku University Hospital, and Department of Neurology, University of Turku, Turku, Finland
| | - Alice Theadom
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand
| | - Ilias Thomas
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Abel Torres Espin
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Alexis F Turgeon
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada
| | - Andreas Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Dominique Van Praag
- Departments of Clinical Psychology and Neurosurgery, Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Ernest van Veen
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Thijs Vande Vyvere
- Department of Radiology, Faculty of Medicine and Health Sciences, Department of Rehabilitation Sciences (MOVANT), Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Kevin K W Wang
- Department of Psychiatry, University of Florida, Gainesville, FL, USA
| | - Eveline J A Wiegers
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - W Huw Williams
- Centre for Clinical Neuropsychology Research, Department of Psychology, University of Exeter, Exeter, UK
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, UK
| | - Stephen R Wisniewski
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Alexander Younsi
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - John K Yue
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Frederick A Zeiler
- Departments of Surgery, Human Anatomy and Cell Science, and Biomedical Engineering, Rady Faculty of Health Sciences and Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Marina Zeldovich
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - Roger Zemek
- Departments of Pediatrics and Emergency Medicine, University of Ottawa, Children’s Hospital of Eastern Ontario, ON, Canada
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Palacios EM, Yuh EL, Mac Donald CL, Bourla I, Wren-Jarvis J, Sun X, Vassar MJ, Diaz-Arrastia R, Giacino JT, Okonkwo DO, Robertson CS, Stein MB, Temkin N, McCrea MA, Levin HS, Markowitz AJ, Jain S, Manley GT, Mukherjee P. Diffusion Tensor Imaging Reveals Elevated Diffusivity of White Matter Microstructure that Is Independently Associated with Long-Term Outcome after Mild Traumatic Brain Injury: A TRACK-TBI Study. J Neurotrauma 2022; 39:1318-1328. [PMID: 35579949 PMCID: PMC9529303 DOI: 10.1089/neu.2021.0408] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Diffusion tensor imaging (DTI) literature on single-center studies contains conflicting results regarding acute effects of mild traumatic brain injury (mTBI) on white matter (WM) microstructure and the prognostic significance. This larger-scale multi-center DTI study aimed to determine how acute mTBI affects WM microstructure over time and how early WM changes affect long-term outcome. From Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI), a cohort study at 11 United States level 1 trauma centers, a total of 391 patients with acute mTBI ages 17 to 60 years were included and studied at two weeks and six months post-injury. Demographically matched friends or family of the participants were the control group (n = 148). Axial diffusivity (AD), fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD) were the measures of WM microstructure. The primary outcome was the Glasgow Outcome Scale Extended (GOSE) score of injury-related functional limitations across broad life domains at six months post-injury. The AD, MD, and RD were higher and FA was lower in mTBI versus friend control (FC) at both two weeks and six months post-injury throughout most major WM tracts of the cerebral hemispheres. In the mTBI group, AD and, to a lesser extent, MD decreased in WM from two weeks to six months post-injury. At two weeks post-injury, global WM AD and MD were both independently associated with six-month incomplete recovery (GOSE <8 vs = 8) even after accounting for demographic, clinical, and other imaging factors. DTI provides reliable imaging biomarkers of dynamic WM microstructural changes after mTBI that have utility for patient selection and treatment response in clinical trials. Continued technological advances in the sensitivity, specificity, and precision of diffusion magnetic resonance imaging hold promise for routine clinical application in mTBI.
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Affiliation(s)
- Eva M. Palacios
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Esther L. Yuh
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | | | - Ioanna Bourla
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Jamie Wren-Jarvis
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Mary J. Vassar
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Department of Neurological Surgery, UCSF, San Francisco, California, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | | | - Murray B. Stein
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Michael A. McCrea
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Harvey S. Levin
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, California, USA
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Korley FK, Jain S, Sun X, Puccio AM, Yue JK, Gardner RC, Wang KKW, Okonkwo DO, Yuh EL, Mukherjee P, Nelson LD, Taylor SR, Markowitz AJ, Diaz-Arrastia R, Manley GT. Prognostic value of day-of-injury plasma GFAP and UCH-L1 concentrations for predicting functional recovery after traumatic brain injury in patients from the US TRACK-TBI cohort: an observational cohort study. Lancet Neurol 2022; 21:803-813. [PMID: 35963263 PMCID: PMC9462598 DOI: 10.1016/s1474-4422(22)00256-3] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 04/26/2022] [Accepted: 05/30/2022] [Indexed: 12/21/2022]
Abstract
BACKGROUND The prognostic value of glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) as day-of-injury predictors of functional outcome after traumatic brain injury is not well understood. GFAP is a protein found in glial cells and UCH-L1 is found in neurons, and these biomarkers have been cleared to aid in decision making regarding whether brain CT should be performed after traumatic brain injury. We aimed to quantify their prognostic accuracy and investigate whether these biomarkers contribute novel prognostic information to existing clinical models. METHODS We enrolled patients from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) observational cohort study. TRACK-TBI includes patients 17 years and older who are evaluated for TBI at 18 US level 1 trauma centres. All patients receive head CT at evaluation, have adequate visual acuity and hearing preinjury, and are fluent in either English or Spanish. In our analysis, we included participants aged 17-90 years who had day-of-injury plasma samples for measurement of GFAP and UCH-L1 and completed 6-month assessments for outcome due to traumatic brain injury with the Glasgow Outcome Scale-Extended (GOSE-TBI). Biomarkers were analysed as continuous variables and in quintiles. This study is registered with ClinicalTrials.gov, NCT02119182. FINDINGS We enrolled 2552 patients from Feb 26, 2014, to Aug 8, 2018. Of the 1696 participants with brain injury and data available at baseline and at 6 months who were included in the analysis, 120 (7·1%) died (GOSE-TBI=1), 235 (13·9%) had an unfavourable outcome (ie, GOSE-TBI ≤4), 1135 (66·9%) had incomplete recovery (ie, GOSE-TBI <8), and 561 (33·1%) recovered fully (ie, GOSE-TBI=8). The area under the curve (AUC) of GFAP for predicting death at 6 months in all patients was 0·87 (95% CI 0·83-0·91), for unfavourable outcome was 0·86 (0·83-0·89), and for incomplete recovery was 0·62 (0·59-0·64). The corresponding AUCs for UCH-L1 were 0·89 (95% CI 0·86-0·92) for predicting death, 0·86 (0·84-0·89) for unfavourable outcome, and 0·61 (0·59-0·64) for incomplete recovery at 6 months. AUCs were higher for participants with traumatic brain injury and Glasgow Coma Scale (GCS) score of 3-12 than for those with GCS score of 13-15. Among participants with GCS score of 3-12 (n=353), adding GFAP and UCH-L1 (alone or combined) to each of the three International Mission for Prognosis and Analysis of Clinical Trials in traumatic brain injury models significantly increased their AUCs for predicting death (AUC range 0·90-0·94) and unfavourable outcome (AUC range 0·83-0·89). However, among participants with GCS score of 13-15 (n=1297), adding GFAP and UCH-L1 to the UPFRONT study model modestly increased the AUC for predicting incomplete recovery (AUC range 0·69-0·69, p=0·025). INTERPRETATION In addition to their known diagnostic value, day-of-injury GFAP and UCH-L1 plasma concentrations have good to excellent prognostic value for predicting death and unfavourable outcome, but not for predicting incomplete recovery at 6 months. These biomarkers contribute the most prognostic information for participants presenting with a GCS score of 3-12. FUNDING US National Institutes of Health, National Institute of Neurologic Disorders and Stroke, US Department of Defense, One Mind, US Army Medical Research and Development Command.
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Affiliation(s)
- Frederick K Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.
| | - Sonia Jain
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, La Jolla, CA, USA
| | - Xiaoying Sun
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, La Jolla, CA, USA
| | - Ava M Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - John K Yue
- Department of Neurological Surgery, University of California at San Francisco, San Francisco, CA, USA
| | - Raquel C Gardner
- Department of Neurology, Memory and Aging Center, University of California at San Francisco, San Francisco, CA, USA; Weill Institute for Neurosciences, University of California at San Francisco, San Francisco, CA, USA
| | - Kevin K W Wang
- Program for Neurotrauma, Neuroproteomics and Biomarkers Research, Department of Emergency Medicine, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Esther L Yuh
- Department of Radiology, University of California at San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Department of Radiology, University of California at San Francisco, San Francisco, CA, USA
| | - Lindsay D Nelson
- Department of Neurosurgery and Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Sabrina R Taylor
- Brain and Spinal Injury Center, University of California at San Francisco, San Francisco, CA, USA
| | - Amy J Markowitz
- Department of Neurological Surgery, University of California at San Francisco, San Francisco, CA, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Traumatic Brain Injury Clinical Research Center, Penn Presbyterian Medical Center, Philadelphia, PA, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California at San Francisco, San Francisco, CA, USA
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14
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Lin E, Yuh EL. Computational Approaches for Acute Traumatic Brain Injury Image Recognition. Front Neurol 2022; 13:791816. [PMID: 35370919 PMCID: PMC8964403 DOI: 10.3389/fneur.2022.791816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 02/02/2022] [Indexed: 11/13/2022] Open
Abstract
In recent years, there have been major advances in deep learning algorithms for image recognition in traumatic brain injury (TBI). Interest in this area has increased due to the potential for greater objectivity, reduced interpretation times and, ultimately, higher accuracy. Triage algorithms that can re-order radiological reading queues have been developed, using classification to prioritize exams with suspected critical findings. Localization models move a step further to capture more granular information such as the location and, in some cases, size and subtype, of intracranial hematomas that could aid in neurosurgical management decisions. In addition to the potential to improve the clinical management of TBI patients, the use of algorithms for the interpretation of medical images may play a transformative role in enabling the integration of medical images into precision medicine. Acute TBI is one practical example that can illustrate the application of deep learning to medical imaging. This review provides an overview of computational approaches that have been proposed for the detection and characterization of acute TBI imaging abnormalities, including intracranial hemorrhage, skull fractures, intracranial mass effect, and stroke.
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Affiliation(s)
| | - Esther L. Yuh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
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15
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Burke J, Gugger J, Ding K, Kim JA, Foreman B, Yue JK, Puccio AM, Yuh EL, Sun X, Rabinowitz M, Vassar MJ, Taylor SR, Winkler EA, Deng H, McCrea M, Stein MB, Robertson CS, Levin HS, Dikmen S, Temkin NR, Barber J, Giacino JT, Mukherjee P, Wang KKW, Okonkwo DO, Markowitz AJ, Jain S, Lowenstein D, Manley GT, Diaz-Arrastia R. Association of Posttraumatic Epilepsy With 1-Year Outcomes After Traumatic Brain Injury. JAMA Netw Open 2021; 4:e2140191. [PMID: 34964854 PMCID: PMC8717106 DOI: 10.1001/jamanetworkopen.2021.40191] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IMPORTANCE Posttraumatic epilepsy (PTE) is a recognized sequela of traumatic brain injury (TBI), but the long-term outcomes associated with PTE independent of injury severity are not precisely known. OBJECTIVE To determine the incidence, risk factors, and association with functional outcomes and self-reported somatic, cognitive, and psychological concerns of self-reported PTE in a large, prospectively collected TBI cohort. DESIGN, SETTING, AND PARTICIPANTS This multicenter, prospective cohort study was conducted as part of the Transforming Research and Clinical Knowledge in Traumatic Brain Injury study and identified patients presenting with TBI to 1 of 18 participating level 1 US trauma centers from February 2014 to July 2018. Patients with TBI, extracranial orthopedic injuries (orthopedic controls), and individuals without reported injuries (eg, friends and family of participants; hereafter friend controls) were prospectively followed for 12 months. Data were analyzed from January 2020 to April 2021. EXPOSURE Demographic, imaging, and clinical information was collected according to TBI Common Data Elements. Incidence of self-reported PTE was assessed using the National Institute of Neurological Disorders and Stroke Epilepsy Screening Questionnaire (NINDS-ESQ). MAIN OUTCOMES AND MEASURES Primary outcomes included Glasgow Outcome Scale Extended, Rivermead Cognitive Metric (RCM; derived from the Rivermead Post Concussion Symptoms Questionnaire), and the Brief Symptom Inventory-18 (BSI). RESULTS Of 3296 participants identified as part of the study, 3044 met inclusion criteria, and 1885 participants (mean [SD] age, 41.3 [17.1] years; 1241 [65.8%] men and 644 [34.2%] women) had follow-up information at 12 months, including 1493 patients with TBI; 182 orthopedic controls, 210 uninjured friend controls; 41 patients with TBI (2.8%) and no controls had positive screening results for PTE. Compared with a negative screening result for PTE, having a positive screening result for PTE was associated with presenting Glasgow Coma Scale score (8.1 [4.8] vs.13.5 [3.3]; P < .001) as well as with anomalous acute head imaging findings (risk ratio, 6.42 [95% CI, 2.71-15.22]). After controlling for age, initial Glasgow Coma Scale score, and imaging findings, compared with patients with TBI and without PTE, patients with TBI and with positive PTE screening results had significantly lower Glasgow Outcome Scale Extended scores (mean [SD], 6.1 [1.7] vs 4.7 [1.5]; P < .001), higher BSI scores (mean [SD], 50.2 [10.7] vs 58.6 [10.8]; P = .02), and higher RCM scores (mean [SD], 3.1 [2.6] vs 5.3 [1.9]; P = .002) at 12 months. CONCLUSIONS AND RELEVANCE In this cohort study, the incidence of self-reported PTE after TBI was found to be 2.8% and was independently associated with unfavorable outcomes. These findings highlight the need for effective antiepileptogenic therapies after TBI.
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Affiliation(s)
- John Burke
- Department of Neurosurgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - James Gugger
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Kan Ding
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas
| | - Jennifer A. Kim
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio
| | - John K. Yue
- Department of Neurosurgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Ava M. Puccio
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- Department of Radiology, University of California. San Francisco
| | - Xiaoying Sun
- Department of Family Medicine and Public Health, University of California, San Diego
| | - Miri Rabinowitz
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Mary J. Vassar
- Department of Neurosurgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Sabrina R. Taylor
- Department of Neurosurgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Ethan A. Winkler
- Department of Neurosurgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Hansen Deng
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Michael McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Murray B. Stein
- Department of Psychiatry and Public Health, University of California, San Diego
| | - Claudia S. Robertson
- Departments of Neurosurgery and Critical Care, Baylor College of Medicine, Houston, Texas
| | - Harvey S. Levin
- Departments of Neurosurgery and Neurology, Baylor College of Medicine, Houston, Texas
| | - Sureyya Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle
| | - Nancy R. Temkin
- Department of Neurosurgery, University of Washington, Seattle
- Departments of Biostatistics, University of Washington, Seattle
| | - Jason Barber
- Departments of Biostatistics, University of Washington, Seattle
| | - Joseph T. Giacino
- Rehabilitation Neuropsychology, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- Department of Radiology, University of California. San Francisco
| | - Kevin K. W. Wang
- Department of Psychiatry and Neurosciences, McKnight Brain Institute, University of Florida, Gainesville
| | - David O. Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Amy J. Markowitz
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Sonia Jain
- Department of Family Medicine and Public Health, University of California, San Diego
| | | | - Geoffrey T. Manley
- Department of Neurosurgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
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16
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Huie JR, Chou A, Torres-Espin A, Nielson JL, Yuh EL, Gardner RC, Diaz-Arrastia R, Manley GT, Ferguson AR. FAIR Data Reuse in Traumatic Brain Injury: Exploring Inflammation and Age as Moderators of Recovery in the TRACK-TBI Pilot. Front Neurol 2021; 12:768735. [PMID: 34803899 PMCID: PMC8595404 DOI: 10.3389/fneur.2021.768735] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/01/2021] [Indexed: 12/12/2022] Open
Abstract
The guiding principle for data stewardship dictates that data be FAIR: findable, accessible, interoperable, and reusable. Data reuse allows researchers to probe data that may have been originally collected for other scientific purposes in order to gain novel insights. The current study reuses the Transforming Research and Clinical Knowledge for Traumatic Brain Injury (TRACK-TBI) Pilot dataset to build upon prior findings and ask new scientific questions. Specifically, we have previously used a multivariate analytics approach to multianalyte serum protein data from the TRACK-TBI Pilot dataset to show that an inflammatory ensemble of biomarkers can predict functional outcome at 3 and 6 months post-TBI. We and others have shown that there are quantitative and qualitative changes in inflammation that come with age, but little is known about how this interaction affects recovery from TBI. Here we replicate the prior proteomics findings with improved missing value analyses and non-linear principal component analysis and then expand upon this work to determine whether age moderates the effect of inflammation on recovery. We show that increased age correlates with worse functional recovery on the Glasgow Outcome Scale-Extended (GOS-E) as well as increased inflammatory signature. We then explore the interaction between age and inflammation on recovery, which suggests that inflammation has a more detrimental effect on recovery for older TBI patients.
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Affiliation(s)
- J. Russell Huie
- Brain and Spinal Injury Center, Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States
| | - Austin Chou
- Brain and Spinal Injury Center, Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
| | - Abel Torres-Espin
- Brain and Spinal Injury Center, Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
| | - Jessica L. Nielson
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, United States
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Department of Radiology, University of California, San Francisco, San Francisco, CA, United States
| | - Raquel C. Gardner
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Ramon Diaz-Arrastia
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Geoff T. Manley
- Brain and Spinal Injury Center, Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
| | - Adam R. Ferguson
- Brain and Spinal Injury Center, Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States
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17
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Rincon SP, Mukherjee P, Levin HS, Temkin NR, Mac Donald CL, Krainak DM, Sun X, Jain S, Taylor SR, Markowitz AJ, Kumar A, Manley GT, Yuh EL. Interrater Reliability of National Institutes of Health Traumatic Brain Injury Imaging Common Data Elements for Brain Magnetic Resonance Imaging in Mild Traumatic Brain Injury. J Neurotrauma 2021; 38:2831-2840. [PMID: 34275326 PMCID: PMC9836673 DOI: 10.1089/neu.2021.0138] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
The National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH-NINDS) Traumatic Brain Injury (TBI) Imaging Common Data Elements (CDEs) are standardized definitions for pathological intracranial lesions based on their appearance on neuroimaging studies. The NIH-NINDS TBI Imaging CDEs were designed to be as consistent as possible with the U.S. Food and Drug Administration (FDA) definition of biomarkers as "an indicator of normal biological processes, pathogenic processes, or biological responses to an exposure or intervention." However, the FDA qualification process for biomarkers requires proof of reliable biomarker test measurements. We determined the interrater reliability of TBI Imaging CDEs on subacute brain magnetic resonance imaging (MRI) performed on 517 mild TBI patients presenting to 11 U.S. level 1 trauma centers. Three U.S. board-certified neuroradiologists independently evaluated brain MRI performed 2 weeks post-injury for the following CDEs: traumatic axonal injury (TAI), diffuse axonal injury (DAI), and brain contusion. We found very high interrater agreement for brain contusion, with prevalence- and bias-adjusted kappa (PABAK) values for pairs of readers from 0.92 [95% confidence interval, 0.88-0.95] to 0.94 [0.90-0.96]. We found intermediate agreement for TAI and DAI, with PABAK values of 0.74-0.78 [0.70-0.82]. The near-perfect agreement for subacute brain contusion is likely attributable to the high conspicuity and distinctive appearance of these lesions on T1-weighted images. Interrater agreement for TAI and DAI was lower, because signal void in small vascular structures, and artifactual foci of signal void, can be difficult to distinguish from the punctate round or linear areas of slight hemorrhage that are a common hallmark of TAI/DAI on MRI.
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Affiliation(s)
- Sandra P. Rincon
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
- Brain and Spinal Injury Center at Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Harvey S. Levin
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
| | - Nancy R. Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | | | - Daniel M. Krainak
- U.S. Food and Drug Administration (FDA), Silver Spring, Maryland, USA
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Sabrina R. Taylor
- Brain and Spinal Injury Center at Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Amy J. Markowitz
- Brain and Spinal Injury Center at Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | | | - Geoffrey T. Manley
- Brain and Spinal Injury Center at Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Esther L. Yuh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
- Brain and Spinal Injury Center at Zuckerberg San Francisco General Hospital, San Francisco, California, USA
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18
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Williams JR, Nieblas-Bedolla E, Feroze A, Young C, Temkin NR, Giacino JT, Okonkwo DO, Manley GT, Barber J, Durfy S, Markowitz AJ, Yuh EL, Mukherjee P, Mac Donald CL. Correction to: Prognostic Value of Hemorrhagic Brainstem Injury on Early Computed Tomography: A TRACK-TBI Study. Neurocrit Care 2021; 35:927. [PMID: 34591257 DOI: 10.1007/s12028-021-01356-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- John R Williams
- Department of Neurological Surgery, Harborview Medical Center, University of Washington School of Medicine, 325 9th Ave, Box 359924, Seattle, WA, 98104, USA
| | | | - Abdullah Feroze
- Department of Neurological Surgery, Harborview Medical Center, University of Washington School of Medicine, 325 9th Ave, Box 359924, Seattle, WA, 98104, USA
| | - Christopher Young
- Department of Neurological Surgery, Harborview Medical Center, University of Washington School of Medicine, 325 9th Ave, Box 359924, Seattle, WA, 98104, USA
| | - Nancy R Temkin
- Department of Neurological Surgery, Harborview Medical Center, University of Washington School of Medicine, 325 9th Ave, Box 359924, Seattle, WA, 98104, USA.,Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, 1001 Potrero Avenue, Bldg. 1 Rm 101, Box 0899, San Francisco, CA, 94143, USA
| | - Jason Barber
- Department of Neurological Surgery, Harborview Medical Center, University of Washington School of Medicine, 325 9th Ave, Box 359924, Seattle, WA, 98104, USA
| | - Sharon Durfy
- Department of Neurological Surgery, Harborview Medical Center, University of Washington School of Medicine, 325 9th Ave, Box 359924, Seattle, WA, 98104, USA
| | - Amy J Markowitz
- Department of Neurological Surgery, Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, 1001 Potrero Avenue, Bldg. 1 Rm 101, Box 0899, San Francisco, CA, 94143, USA.
| | - Esther L Yuh
- Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Christine L Mac Donald
- Department of Neurological Surgery, Harborview Medical Center, University of Washington School of Medicine, 325 9th Ave, Box 359924, Seattle, WA, 98104, USA.
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Huie JR, Mondello S, Lindsell CJ, Antiga L, Yuh EL, Zanier ER, Masson S, Rosario BL, Ferguson AR. Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations. J Neurotrauma 2021; 38:2514-2529. [PMID: 32046588 PMCID: PMC8403188 DOI: 10.1089/neu.2019.6762] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.
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Affiliation(s)
- J. Russell Huie
- Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Christopher J. Lindsell
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Esther L. Yuh
- Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Elisa R. Zanier
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Serge Masson
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Bedda L. Rosario
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Adam R. Ferguson
- Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center (SFVAMC), San Francisco, California, USA
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20
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Yuh EL, Jain S, Sun X, Pisica D, Harris MH, Taylor SR, Markowitz AJ, Mukherjee P, Verheyden J, Giacino JT, Levin HS, McCrea M, Stein MB, Temkin NR, Diaz-Arrastia R, Robertson CS, Lingsma HF, Okonkwo DO, Maas AIR, Manley GT, Adeoye O, Badjatia N, Boase K, Bodien Y, Corrigan JD, Crawford K, Dikmen S, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Keene CD, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Nelson L, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Toga A, Valadka A, Vassar M, Zafonte R. Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI. JAMA Neurol 2021; 78:1137-1148. [PMID: 34279565 PMCID: PMC8290344 DOI: 10.1001/jamaneurol.2021.2120] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Question Are different patterns of intracranial injury on head computed tomography associated with prognosis after mild traumatic brain injury (mTBI)? Findings In this cohort study, subarachnoid hemorrhage, subdural hematoma, and contusion often co-occurred and were associated with both incomplete recovery and more severe impairment out to 12 months after injury, while intraventricular and/or petechial hemorrhage co-occurred and were associated with more severe impairment up to 12 months after injury; epidural hematoma was associated with incomplete recovery at some points but not with more severe impairment. Some intracranial hemorrhage patterns were more strongly associated with outcomes than previously validated demographic and clinical variables. Meaning In this study, different pathological features on head computed tomography carried different implications for mild traumatic brain injury prognosis to 1 year. Importance A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood. Objective To identify pathological CT features associated with adverse outcomes after mTBI. Design, Setting, and Participants The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale–Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021. Exposures Acute nonpenetrating head trauma. Main Outcomes and Measures Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores <8 vs 8); and an unfavorable outcome (GOSE scores <5 vs ≥5) at 2 weeks and 3, 6, and 12 months. Results In 1935 patients with mTBI (mean [SD] age, 41.5 [17.6] years; 1286 men [66.5%]) in the TRACK-TBI cohort and 2594 patients with mTBI (mean [SD] age, 51.8 [20.3] years; 1658 men [63.9%]) in an external validation cohort, hierarchical cluster analysis identified 3 major clusters of CT features: contusion, subarachnoid hemorrhage, and/or subdural hematoma; intraventricular and/or petechial hemorrhage; and epidural hematoma. Contusion, subarachnoid hemorrhage, and/or subdural hematoma features were associated with incomplete recovery (odds ratios [ORs] for GOSE scores <8 at 1 year: TRACK-TBI, 1.80 [95% CI, 1.39-2.33]; CENTER-TBI, 2.73 [95% CI, 2.18-3.41]) and greater degrees of unfavorable outcomes (ORs for GOSE scores <5 at 1 year: TRACK-TBI, 3.23 [95% CI, 1.59-6.58]; CENTER-TBI, 1.68 [95% CI, 1.13-2.49]) out to 12 months after injury, but epidural hematoma was not. Intraventricular and/or petechial hemorrhage was associated with greater degrees of unfavorable outcomes up to 12 months after injury (eg, OR for GOSE scores <5 at 1 year in TRACK-TBI: 3.47 [95% CI, 1.66-7.26]). Some CT features were more strongly associated with outcomes than previously validated variables (eg, ORs for GOSE scores <5 at 1 year in TRACK-TBI: neuropsychiatric history, 1.43 [95% CI .98-2.10] vs contusion, subarachnoid hemorrhage, and/or subdural hematoma, 3.23 [95% CI 1.59-6.58]). Findings were externally validated in 2594 patients with mTBI enrolled in the CENTER-TBI study. Conclusions and Relevance In this study, pathological CT features carried different prognostic implications after mTBI to 1 year postinjury. Some patterns of injury were associated with worse outcomes than others. These results support that patients with mTBI and these CT features need TBI-specific education and systematic follow-up.
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Affiliation(s)
- Esther L Yuh
- Brain and Spinal Injury Center, San Francisco, California.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Dana Pisica
- Department of Neurosurgery, Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Mark H Harris
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Sabrina R Taylor
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Amy J Markowitz
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, San Francisco, California.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
| | - Jan Verheyden
- Research and Development, Icometrix, Leuven, Belgium
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Harvey S Levin
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Michael McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla.,Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle
| | | | | | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Joel Kramer
- University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | - Amber Nolan
- University of California, San Francisco, San Francisco
| | - Eva Palacios
- University of California, San Francisco, San Francisco
| | - Daniel Perl
- Uniformed Services University, Bethesda, Maryland
| | | | | | | | | | | | | | - Arthur Toga
- University of Southern California, Los Angeles
| | | | - Mary Vassar
- University of California, San Francisco, San Francisco
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21
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Yue JK, Phelps RR, Hemmerle DD, Upadhyayula PS, Winkler EA, Deng H, Chang D, Vassar MJ, Taylor SR, Schnyer DM, Lingsma HF, Puccio AM, Yuh EL, Mukherjee P, Huang MC, Ngwenya LB, Valadka AB, Markowitz AJ, Okonkwo DO, Manley GT. Predictors of six-month inability to return to work in previously employed subjects after mild traumatic brain injury: A TRACK-TBI pilot study. J Concussion 2021; 5. [PMID: 34046212 PMCID: PMC8153496 DOI: 10.1177/20597002211007271] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Introduction: Return to work (RTW) is an important milestone of mild traumatic brain injury (mTBI) recovery. The objective of this study was to evaluate whether baseline clinical variables, three-month RTW, and three-month postconcussional symptoms (PCS) were associated with six-month RTW after mTBI. Methods: Adult subjects from the prospective multicenter Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot study with mTBI (Glasgow Coma Scale 13–15) who were employed at baseline, with completed three-and six-month RTW status, and three-month Acute Concussion Evaluation (ACE), were extracted. Univariate and multivariable analyses were performed for six-month RTW, with focus on baseline employment, three-month RTW, and three-month ACE domains (physical, cognitive, sleep, and/or emotional postconcussional symptoms (PCS)). Odds ratios (OR) and 95% confidence intervals [CI] were reported. Significance was assessed at p < 0.05. Results: In 152 patients aged 40.7 ± 15.0years, 72% were employed full-time at baseline. Three- and six-month RTW were 77.6% and 78.9%, respectively. At three months, 59.2%, 47.4%, 46.1% and 31.6% scored positive for ACE physical, cognitive, sleep, and emotional PCS domains, respectively. Three-month RTW predicted six-month RTW (OR = 19.80, 95% CI [7.61–51.52]). On univariate analysis, scoring positive in any three-month ACE domain predicted inability for six-month RTW (OR = 0.10–0.11). On multivariable analysis, emotional symptoms predicted inability to six-month RTW (OR = 0.19 [0.04–0.85]). Subjects who scored positive in all four ACE domains were more likely to be unable to RTW at six months (4 domains: 58.3%, vs. 0-to-3 domains: 9.5%; multivariable OR = 0.09 [0.02–0.33]). Conclusions: Three-month post-injury is an important time point at which RTW status and PCS should be assessed, as both are prognostic markers for six-month RTW. Clinicians should be particularly vigilant of patients who present with emotional symptoms, and patients with symptoms across multiple PCS categories, as these patients are at further risk of inability to RTW and may benefit from targeted evaluation and support.
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Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Ryan Rl Phelps
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Debra D Hemmerle
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Pavan S Upadhyayula
- Department of Neurological Surgery, University of California San Diego, San Diego, CA, USA
| | - Ethan A Winkler
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Diana Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Mary J Vassar
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Sabrina R Taylor
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - David M Schnyer
- Department of Psychology, University of Texas, Austin, TX, USA
| | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ava M Puccio
- Department of Neurological Surgery, University of California San Diego, San Diego, CA, USA
| | - Esther L Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.,Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.,Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Michael C Huang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Laura B Ngwenya
- Department of Neurological Surgery, University of Cincinnati, Cincinnati, OH, USA
| | - Alex B Valadka
- Department of Neurological Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - Amy J Markowitz
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
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22
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Xu LB, Yue JK, Korley F, Puccio AM, Yuh EL, Sun X, Rabinowitz M, Vassar MJ, Taylor SR, Winkler EA, Puffer RC, Deng H, McCrea M, Stein MB, Robertson CS, Levin HS, Dikmen S, Temkin NR, Giacino JT, Mukherjee P, Wang KK, Okonkwo DO, Markowitz AJ, Jain S, Manley GT, Diaz-Arrastia R. High-Sensitivity C-Reactive Protein is a Prognostic Biomarker of Six-Month Disability after Traumatic Brain Injury: Results from the TRACK-TBI Study. J Neurotrauma 2021; 38:918-927. [PMID: 33161875 PMCID: PMC7987360 DOI: 10.1089/neu.2020.7177] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Systemic inflammation impacts outcome after traumatic brain injury (TBI), but most TBI biomarker studies have focused on brain-specific proteins. C-reactive protein (CRP) is a widely used biomarker of inflammation with potential as a prognostic biomarker after TBI. The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study prospectively enrolled TBI patients within 24 h of injury, as well as orthopedic injury and uninjured controls; biospecimens were collected at enrollment. A subset of hospitalized participants had blood collected on day 3, day 5, and 2 weeks. High-sensitivity CRP (hsCRP) and glial fibrillary acidic protein (GFAP) were measured. Receiver operating characteristic analysis was used to evaluate the prognostic ability of hsCRP for 6-month outcome, using the Glasgow Outcome Scale-Extended (GOSE). We included 1206 TBI subjects, 122 orthopedic trauma controls (OTCs), and 209 healthy controls (HCs). Longitudinal biomarker sampling was performed in 254 hospitalized TBI subjects and 19 OTCs. hsCRP rose between days 1 and 5 for TBI and OTC subjects, and fell by 2 weeks, but remained elevated compared with HCs (p < 0.001). Longitudinally, hsCRP was significantly higher in the first 2 weeks for subjects with death/severe disability (GOSE <5) compared with those with moderate disability/good recovery (GOSE ≥5); AUC was highest at 2 weeks (AUC = 0.892). Combining hsCRP and GFAP at 2 weeks produced AUC = 0.939 for prediction of disability. Serum hsCRP measured within 2 weeks of TBI is a prognostic biomarker for disability 6 months later. hsCRP may have utility as a biomarker of target engagement for anti-inflammatory therapies.
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Affiliation(s)
- Linda B. Xu
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John K. Yue
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Frederick Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Ava M. Puccio
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Esther L. Yuh
- Department of Radiology, University of California San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Xiaoying Sun
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, USA
| | - Miri Rabinowitz
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Mary J. Vassar
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Sabrina R. Taylor
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Ethan A. Winkler
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Ross C. Puffer
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Hansen Deng
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Michael McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Murray B. Stein
- Department of Psychiatry and Family Medicine, University of California San Diego, San Diego, California, USA
| | - Claudia S. Robertson
- Department of Neurosurgery and Critical Care, Baylor College of Medicine, Houston, Texas, USA
| | - Harvey S. Levin
- Department of Neurosurgery and Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Sureyya Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Nancy R. Temkin
- Department of Neurosurgery and Biostatistics, University of Washington, Seattle, Washington, USA
| | - Joseph T. Giacino
- Department of Rehabilitation Medicine, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Pratik Mukherjee
- Department of Radiology, University of California San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Kevin K.W. Wang
- Department of Psychiatry and Neurosciences, McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - David O. Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Amy J. Markowitz
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Sonia Jain
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, USA
| | - Geoffrey T. Manley
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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23
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Agtarap SD, Campbell-Sills L, Jain S, Sun X, Dikmen S, Levin H, McCrea MA, Mukherjee P, Nelson LD, Temkin N, Yuh EL, Giacino JT, Manley GT, Stein MB. Satisfaction with Life after Mild Traumatic Brain Injury: A TRACK-TBI Study. J Neurotrauma 2020; 38:546-554. [PMID: 33107371 DOI: 10.1089/neu.2020.7055] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Identifying the principal determinants of life satisfaction following mild TBI (mTBI) may inform efforts to improve subjective well-being in this population. We examined life satisfaction among participants in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study who presented with mTBI (Glasgow Coma Scale [GCS] score = 13-15; n = 1152). An L1-regularization path algorithm was used to select optimal sets of baseline and concurrent symptom measures for prediction of scores on the Satisfaction with Life Scale (SWLS) at 2 weeks and 3, 6, and 12 months post-injury. Multi-variable linear regression models (all n = 744-894) were then fit to evaluate associations between the empirically selected predictors and SWLS scores at each follow-up visit. Results indicated that emotional post-TBI symptoms (all b = -1.27 to -0.77, all p < 0.05), anhedonia (all b = -1.59 to -1.08, all p < 0.01), and pain interference (all b = -1.38 to -0.89, all p < 0.001) contributed to the prediction of lower SWLS scores at all follow-ups. Insomnia predicted lower SWLS scores at 2 weeks, 3 months, and 6 months (all b = -1.11 to -0.83, all ps < 0.01); and negative affect predicted lower SWLS scores at 2 weeks, 3 months, and 12 months (all b = -1.38 to -0.80, all p < 0.005). Other post-TBI symptom domains and baseline socio-demographic, injury-related, and clinical characteristics did not emerge as robust predictors of SWLS scores during the year after mTBI. Efforts to improve satisfaction with life following mTBI may benefit from a focus on the detection and treatment of affective symptoms, pain, and insomnia. The results reinforce the need for tailoring of evidence-based treatments for these conditions to maximize efficacy in patients with mTBI.
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Affiliation(s)
- Stephanie D Agtarap
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Laura Campbell-Sills
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Sonia Jain
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, USA
| | - Xiaoying Sun
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, USA
| | - Sureyya Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Harvey Levin
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
| | - Michael A McCrea
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.,Department of Bioengineering and Therapeutic Services, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Lindsay D Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Nancy Temkin
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, Washington, USA
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.,Department of Bioengineering and Therapeutic Services, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.,Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA.,Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA.,Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, USA.,Psychiatry Service, VA San Diego Healthcare System, San Diego, California, USA
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24
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Okonkwo DO, Puffer RC, Puccio AM, Yuh EL, Yue JK, Diaz-Arrastia R, Korley FK, Wang KKW, Sun X, Taylor SR, Mukherjee P, Markowitz AJ, Jain S, Manley GT. 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. J Neurotrauma 2020; 37:2460-2467. [PMID: 32854584 PMCID: PMC7698990 DOI: 10.1089/neu.2020.7140] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Glial fibrillary acidic protein (GFAP) is cleared by the Food and Drug Administration (FDA) to determine need for head computed tomography (CT) within 12 h after mild traumatic brain injury (TBI) (Glasgow Coma Score [GCS] 13-15); S100 calcium-binding protein B (S100B) serves this function in Europe. This phase 1 biomarker cohort analysis of the multi-center, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study compares GFAP's diagnostic performance, measured on a rapid point-of-care platform, against protein S100B to predict intracranial abnormalities on CT within 24 h post-injury across the spectrum of TBI (GCS 3-15). Head CT scan performed in TBI subjects and blood was collected for all consenting subjects presenting to 18 United States level 1 trauma centers. Plasma was analyzed on a point-of-care device prototype assay for GFAP and serum was analyzed for S100B. In 1359 patients with TBI (GCS 3-15), mean (standard deviation [SD]) age = 40.1 (17.0) years; 68% were male. Plasma GFAP levels were significantly higher in CT+ TBI subjects (median = 1358 pg/mL, interquartile range [IQR]: 472-3803) than in CT- TBI subjects (median = 116 pg/mL, IQR: 26-397) or orthopedic trauma controls (n = 122; median = 13 pg/mL, IQR: 7-20), p < 0.001. Serum S100B levels were likewise higher in CT+ TBI subjects (median = 0.17 μg/L, IQR: 0.09-0.38) than in CT- TBI subjects (median = 0.10 μg/L, IQR: 0.06-0.18), p < 0.001. Receiver operating characteristic curves were generated for prediction of intracranial injury on admission CT scan; area under the curve (AUC) for GFAP was significantly higher than for S100B in the same cohort (GFAP AUC - 0.85, 95% confidence interval [CI] 0.83-0.87; S100B AUC - 0.67, 95% CI 0.64-0.70; p < 0.001). GFAP, measured on a point-of-care platform prototype assay, has high discriminative ability to predict intracranial abnormalities on CT scan in patients with TBI across the full injury spectrum of GCS 3-15 through 24 h post-injury. GFAP substantially outperforms S100B.
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Affiliation(s)
- David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Ross C. Puffer
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Esther L. Yuh
- Departments of Radiology and University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | - John K. Yue
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Frederick K. Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Kevin K. W. Wang
- Departments of Psychiatry and Neuroscience, McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Xiaoying Sun
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, USA
| | - Sabrina R. Taylor
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Pratik Mukherjee
- Departments of Radiology and University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
| | - Amy J. Markowitz
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Sonia Jain
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, USA
| | - Geoffrey T. Manley
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA
- Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
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25
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Yue JK, Satris GG, Dalle Ore CL, Huie JR, Deng H, Winkler EA, Lee YM, Vassar MJ, Taylor SR, Schnyer DM, Lingsma HF, Puccio AM, Yuh EL, Mukherjee P, Valadka AB, Ferguson AR, Markowitz AJ, Okonkwo DO, Manley GT. Polytrauma Is Associated with Increased Three- and Six-Month Disability after Traumatic Brain Injury: A TRACK-TBI Pilot Study. Neurotrauma Rep 2020; 1:32-41. [PMID: 34223528 PMCID: PMC8240880 DOI: 10.1089/neur.2020.0004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Polytrauma and traumatic brain injury (TBI) frequently co-occur and outcomes are routinely measured by the Glasgow Outcome Scale-Extended (GOSE). Polytrauma may confound GOSE measurement of TBI-specific outcomes. Adult patients with TBI from the prospective Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) study had presented to a Level 1 trauma center after injury, received head computed tomography (CT) within 24 h, and completed the GOSE at 3 months and 6 months post-injury. Polytrauma was defined as an Abbreviated Injury Score (AIS) ≥3 in any extracranial region. Univariate regressions were performed using known GOSE clinical cutoffs. Multi-variable regressions were performed for the 3- and 6-month GOSE, controlling for known demographic and injury predictors. Of 361 subjects (age 44.9 ± 18.9 years, 69.8% male), 69 (19.1%) suffered polytrauma. By Glasgow Coma Scale (GCS) assessment, 80.1% had mild, 5.8% moderate, and 14.1% severe TBI. On univariate logistic regression, polytrauma was associated with increased odds of moderate disability or worse (GOSE ≤6; 3 month odds ratio [OR] = 2.57 [95% confidence interval (CI): 1.50-4.41; 6 month OR = 1.70 [95% CI: 1.01-2.88]) and death/severe disability (GOSE ≤4; 3 month OR = 3.80 [95% CI: 2.03-7.11]; 6 month OR = 3.33 [95% CI: 1.71-6.46]). Compared with patients with isolated TBI, more polytrauma patients experienced a decline in GOSE from 3 to 6 months (37.7 vs. 24.7%), and fewer improved (11.6 vs. 22.6%). Polytrauma was associated with greater univariate ordinal odds for poorer GOSE (3 month OR = 2.79 [95% CI: 1.73-4.49]; 6 month OR = 1.73 [95% CI: 1.07-2.79]), which was conserved on multi-variable ordinal regression (3 month OR = 3.05 [95% CI: 1.76-5.26]; 6 month OR = 2.04 [95% CI: 1.18-3.42]). Patients with TBI with polytrauma are at greater risk for 3- and 6-month disability compared with those with isolated TBI. Methodological improvements in assessing TBI-specific disability, versus disability attributable to all systemic injuries, will generate better TBI outcomes assessment tools.
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Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Gabriela G Satris
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Cecilia L Dalle Ore
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - J Russell Huie
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Ethan A Winkler
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Young M Lee
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Mary J Vassar
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Sabrina R Taylor
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - David M Schnyer
- Department of Psychology, University of Texas, Austin, Texas, USA
| | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ava M Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Esther L Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA.,Department of Radiology, University of California San Francisco, San Francisco, California, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA.,Department of Radiology, University of California San Francisco, San Francisco, California, USA
| | - Alex B Valadka
- Department of Neurological Surgery, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Adam R Ferguson
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Amy J Markowitz
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
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26
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Yue JK, Phelps RRL, Winkler EA, Deng H, Upadhyayula PS, Vassar MJ, Madhok DY, Schnyer DM, Puccio AM, Lingsma HF, Yuh EL, Mukherjee P, Valadka AB, Okonkwo DO, Manley GT. Substance use on admission toxicology screen is associated with peri-injury factors and six-month outcome after traumatic brain injury: A TRACK-TBI Pilot study. J Clin Neurosci 2020; 75:149-156. [PMID: 32173156 DOI: 10.1016/j.jocn.2020.02.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 02/10/2020] [Indexed: 01/07/2023]
Abstract
Substance use is commonly associated with traumatic brain injury (TBI). We investigate associations between active substance use, peri-injury factors, and outcome after TBI across three U.S. Level I trauma centers. TBI subjects from the prospective Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) with Marshall computed tomography (CT) score 1-3, no neurosurgical procedure/operation, and admission urine toxicology screen (tox+/-) were extracted. Associations between tox+/-, comorbidities, hospital variables, and six-month functional (GOSE) and neuropsychiatric (PCL-C, BSI18, RPQ-13, SWLS) outcomes were analyzed. Multivariable regression was performed for associations significant on univariate analysis with odds ratios (mOR) presented. Significance assessed at p < 0.05. In 133 subjects, tox+/tox- were 29.1%/72.9%. Tox+ was younger (35.5/43.6-years, p = 0.018), trended toward male sex (80.6%/63.9%, p = 0.067), was associated with history of seizures (27.8%/10.3%, p = 0.012), self-reported substance use (44.4%/17.5%, p = 0.001), prior TBI (58.8%/34.1%, p = 0.009), GCS < 15 (69.4%/48.4%, p = 0.031) and blood alcohol level >0.08-mg/dl (55.6%/30.8%, p = 0.022). In CT-negative subjects, tox+ was associated with increased hospital admission (95.7%/66.7%, p = 0.034). At six-months, tox+ was associated with screening positive for post-traumatic stress disorder (PCL-C: 40.0%/15.9%; mOR = 8.24, p = 0.022) and psychiatric symptoms (BSI18: 40.0%/14.3%, mOR = 11.06, p = 0.023). Active substance use in TBI may confound GCS assessment, triage to higher level of care, and be associated with increased six-month neuropsychiatric symptoms. Substance use screening should be integrated into standard emergency/acute care TBI protocols to optimize management and resource utilization. Clinicians should be vigilant in providing education, counselling, and follow-up for TBI patients with substance use.
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Affiliation(s)
- John K Yue
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Ryan R L Phelps
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Ethan A Winkler
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Hansen Deng
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Pavan S Upadhyayula
- Department of Neurosurgery, University of California San Diego, San Diego, CA, USA
| | - Mary J Vassar
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Debbie Y Madhok
- Department of Emergency Medicine, University of California San Francisco, San Francisco, CA, USA
| | - David M Schnyer
- Department of Psychology, University of Texas in Austin, Austin, TX, USA
| | - Ava M Puccio
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Esther L Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Alex B Valadka
- Department of Neurosurgery, Virginia Commonwealth University, Richmond, VA, USA
| | - David O Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Geoffrey T Manley
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
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27
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Dikmen S, Machamer J, Manley GT, Yuh EL, Nelson LD, Temkin NR. Functional Status Examination versus Glasgow Outcome Scale Extended as Outcome Measures in Traumatic Brain Injuries: How Do They Compare? J Neurotrauma 2019; 36:2423-2429. [PMID: 30827167 DOI: 10.1089/neu.2018.6198] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Outcome measures are essential components of natural history studies of recovery and treatment effects after traumatic brain injury (TBI). The Glasgow Outcome Scale (GOS) and its revised version, the Glasgow Outcome Scale Extended (GOSE), are well accepted and widely used for both observational and intervention studies, but there are concerns about their psychometric properties and aptness as outcome measures for TBI. The present study compares the Functional Status Examination (FSE) with the GOSE to assess outcome after TBI in a sample of 533 participants with TBI from the Magnesium Sulfate study and the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study by evaluating the sensitivity of each measure to severity of brain injury and recovery of function over time. The results indicate that both measures are strongly correlated with TBI severity. At three months, the correlation strengths between injury severity and each outcome measure do not differ (p = 0.88 for Glasgow Coma Scale [GCS], p = 0.13 for computed tomography [CT] abnormalities) but at six months, the FSE is more strongly related to TBI severity indices than is the GOSE (p = 0.045 for GCS, p = 0.014 for CT abnormalities). In addition, the FSE generally shows significantly more improvement over time than the GOSE (p < 0.001). Detailed, structured administration rules and a wider score range of the FSE likely yields more sensitive and precise assessment of functional level than the GOSE. The FSE may be a valuable alternative to the GOSE for assessing functional outcome after TBI.
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Affiliation(s)
- Sureyya Dikmen
- 1Department of Rehabilitation Medicine, University of Washington, Seattle, Washington.,2Department of Neurological Surgery, University of Washington, Seattle, Washington.,3Department of Psychiatry & Behavioral Sciences, and University of Washington, Seattle, Washington
| | - Joan Machamer
- 1Department of Rehabilitation Medicine, University of Washington, Seattle, Washington
| | - Geoffrey T Manley
- 4Department of Neurosurgery, Brain and Spinal Injury Center, University of California San Francisco, and Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Esther L Yuh
- 4Department of Neurosurgery, Brain and Spinal Injury Center, University of California San Francisco, and Zuckerberg San Francisco General Hospital, San Francisco, California.,5Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Lindsay D Nelson
- 6Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Nancy R Temkin
- 1Department of Rehabilitation Medicine, University of Washington, Seattle, Washington.,2Department of Neurological Surgery, University of Washington, Seattle, Washington.,7Department of Biostatistics, University of Washington, Seattle, Washington
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28
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Yue JK, Levin HS, Suen CG, Morrissey MR, Runyon SJ, Winkler EA, Puffer RC, Deng H, Robinson CK, Rick JW, Phelps RRL, Sharma S, Taylor SR, Vassar MJ, Cnossen MC, Lingsma HF, Gardner RC, Temkin NR, Barber J, Dikmen SS, Yuh EL, Mukherjee P, Stein MB, Cage TA, Valadka AB, Okonkwo DO, Manley GT. Age and sex-mediated differences in six-month outcomes after mild traumatic brain injury in young adults: a TRACK-TBI study. Neurol Res 2019; 41:609-623. [PMID: 31007155 DOI: 10.1080/01616412.2019.1602312] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Introduction: Risk factors for young adults with mTBI are not well understood. Improved understanding of age and sex as risk factors for impaired six-month outcomes in young adults is needed. Methods: Young adult mTBI subjects aged 18-39 years (18-29y; 30-39y) with six-month outcomes were extracted from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) study. Multivariable regressions were performed for outcomes with age, sex, and the interaction factor age-group*sex as variables of interest, controlling for demographic and injury variables. Mean-differences (B) and 95% CIs are reported. Results: One hundred mTBI subjects (18-29y, 70%; 30-39y, 30%; male, 71%; female, 29%) met inclusion criteria. On multivariable analysis, age-group*sex was associated with six-month post-traumatic stress disorder (PTSD; PTSD Checklist-Civilian version); compared with female 30-39y, female 18-29y (B= -19.55 [-26.54, -4.45]), male 18-29y (B= -19.70 [-30.07, -9.33]), and male 30-39y (B= -15.49 [-26.54, -4.45]) were associated with decreased PTSD symptomatology. Female sex was associated with decreased six-month functional outcome (Glasgow Outcome Scale-Extended (GOSE): B= -0.6 [1.0, -0.1]). Comparatively, 30-39y scored higher on six-month nonverbal processing speed (Wechsler Adult Intelligence Scale-Processing Speed Index (WAIS-PSI); B= 11.88, 95% CI [1.66, 22.09]). Conclusions: Following mTBI, young adults aged 18-29y and 30-39y may have different risks for impairment. Sex may interact with age for PTSD symptomatology, with females 30-39y at highest risk. These results may be attributable to cortical maturation, biological response, social modifiers, and/or differential self-report. Confirmation in larger samples is needed; however, prevention and rehabilitation/counseling strategies after mTBI should likely be tailored for age and sex.
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Affiliation(s)
- John K Yue
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Harvey S Levin
- c Departments of Neurology and Neurosurgery , Baylor College of Medicine , Houston , TX , USA
| | - Catherine G Suen
- d Department of Neurology , University of Utah , Salt Lake City , UT , USA
| | - Molly Rose Morrissey
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Sarah J Runyon
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Ethan A Winkler
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Ross C Puffer
- e Department of Neurological Surgery , Mayo Clinic , Rochester , MN , USA.,f Department of Neurological Surgery , University of Pittsburgh Medical Center , Pittsburgh , PA , USA
| | - Hansen Deng
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Caitlin K Robinson
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Jonathan W Rick
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Ryan R L Phelps
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Sourabh Sharma
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Sabrina R Taylor
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Mary J Vassar
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Maryse C Cnossen
- g Department of Public Health , Erasmus Medical Center , Rotterdam , The Netherlands
| | - Hester F Lingsma
- g Department of Public Health , Erasmus Medical Center , Rotterdam , The Netherlands
| | - Raquel C Gardner
- h Department of Neurology , University of California San Francisco , San Francisco , CA , USA.,i Department of Neurology , Veterans Affairs Medical Center , San Francisco , CA , USA
| | - Nancy R Temkin
- j Departments of Neurological Surgery and Biostatistics , University of Washington , Seattle , WA , USA
| | - Jason Barber
- j Departments of Neurological Surgery and Biostatistics , University of Washington , Seattle , WA , USA
| | - Sureyya S Dikmen
- k Department of Rehabilitation Medicine , University of Washington , Seattle , WA , USA
| | - Esther L Yuh
- b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA.,l Department of Radiology , University of California San Francisco , San Francisco , CA , USA
| | - Pratik Mukherjee
- b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA.,l Department of Radiology , University of California San Francisco , San Francisco , CA , USA
| | - Murray B Stein
- m Departments of Psychiatry and Family Medicine , University of California San Diego , San Diego , CA , USA
| | - Tene A Cage
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Alex B Valadka
- n Department of Neurological Surgery , Virginia Commonwealth University , Richmond , VA , USA
| | - David O Okonkwo
- f Department of Neurological Surgery , University of Pittsburgh Medical Center , Pittsburgh , PA , USA
| | - Geoffrey T Manley
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
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- o TRACK-TBI Investigators are listed below in alphabetical order by last name
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29
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Yue JK, Cnossen MC, Winkler EA, Deng H, Phelps RRL, Coss NA, Sharma S, Robinson CK, Suen CG, Vassar MJ, Schnyer DM, Puccio AM, Gardner RC, Yuh EL, Mukherjee P, Valadka AB, Okonkwo DO, Lingsma HF, Manley GT. Pre-injury Comorbidities Are Associated With Functional Impairment and Post-concussive Symptoms at 3- and 6-Months After Mild Traumatic Brain Injury: A TRACK-TBI Study. Front Neurol 2019; 10:343. [PMID: 31024436 PMCID: PMC6465546 DOI: 10.3389/fneur.2019.00343] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 03/20/2019] [Indexed: 11/17/2022] Open
Abstract
Introduction: Over 70% of traumatic brain injuries (TBI) are classified as mild (mTBI), which present heterogeneously. Associations between pre-injury comorbidities and outcomes are not well-understood, and understanding their status as risk factors may improve mTBI management and prognostication. Methods: mTBI subjects (GCS 13-15) from TRACK-TBI Pilot completing 3- and 6-month functional [Glasgow Outcome Scale-Extended (GOSE)] and post-concussive outcomes [Acute Concussion Evaluation (ACE) physical/cognitive/sleep/emotional subdomains] were extracted. Pre-injury comorbidities >10% incidence were included in regressions for functional disability (GOSE ≤ 6) and post-concussive symptoms by subdomain. Odds ratios (OR) and mean differences (B) were reported. Significance was assessed at p < 0.0083 (Bonferroni correction). Results: In 260 subjects sustaining blunt mTBI, mean age was 44.0-years and 70.4% were male. Baseline comorbidities >10% incidence included psychiatric-30.0%, cardiac (hypertension)-23.8%, cardiac (structural/valvular/ischemic)-20.4%, gastrointestinal-15.8%, pulmonary-15.0%, and headache/migraine-11.5%. At 3- and 6-months separately, 30.8% had GOSE ≤ 6. At 3-months, psychiatric (GOSE ≤ 6: OR = 2.75, 95% CI [1.44-5.27]; ACE-physical: B = 1.06 [0.38-1.73]; ACE-cognitive: B = 0.72 [0.26-1.17]; ACE-sleep: B = 0.46 [0.17-0.75]; ACE-emotional: B = 0.64 [0.25-1.03]), headache/migraine (GOSE ≤ 6: OR = 4.10 [1.67-10.07]; ACE-sleep: B = 0.57 [0.15-1.00]; ACE-emotional: B = 0.92 [0.35-1.49]), and gastrointestinal history (ACE-physical: B = 1.25 [0.41-2.10]) were multivariable predictors of worse outcomes. At 6-months, psychiatric (GOSE ≤ 6: OR = 2.57 [1.38-4.77]; ACE-physical: B = 1.38 [0.68-2.09]; ACE-cognitive: B = 0.74 [0.28-1.20]; ACE-sleep: B = 0.51 [0.20-0.83]; ACE-emotional: B = 0.93 [0.53-1.33]), and headache/migraine history (ACE-physical: B = 1.81 [0.79-2.84]) predicted worse outcomes. Conclusions: Pre-injury psychiatric and pre-injury headache/migraine symptoms are risk factors for worse functional and post-concussive outcomes at 3- and 6-months post-mTBI. mTBI patients presenting to acute care should be evaluated for psychiatric and headache/migraine history, with lower thresholds for providing TBI education/resources, surveillance, and follow-up/referrals. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT01565551.
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Affiliation(s)
- John K. Yue
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - Maryse C. Cnossen
- Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
| | - Ethan A. Winkler
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - Hansen Deng
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - Ryan R. L. Phelps
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - Nathan A. Coss
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - Sourabh Sharma
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - Caitlin K. Robinson
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - Catherine G. Suen
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
| | - Mary J. Vassar
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
| | - David M. Schnyer
- Department of Psychology, University of Texas in Austin, Austin, TX, United States
| | - Ava M. Puccio
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Raquel C. Gardner
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurology, Veterans Affairs Medical Center, San Francisco, CA, United States
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
- Department of Radiology, University of California, San Francisco, San Francisco, CA, United States
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
- Department of Radiology, University of California, San Francisco, San Francisco, CA, United States
| | - Alex B. Valadka
- Department of Neurosurgery, Virginia Commonwealth University, Richmond, VA, United States
| | - David O. Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Hester F. Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
| | - Geoffrey T. Manley
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States
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Yue JK, Rick JW, Morrissey MR, Taylor SR, Deng H, Suen CG, Vassar MJ, Cnossen MC, Lingsma HF, Yuh EL, Mukherjee P, Gardner RC, Valadka AB, Okonkwo DO, Cage TA, Manley GT. Preinjury employment status as a risk factor for symptomatology and disability in mild traumatic brain injury: A TRACK-TBI analysis. NeuroRehabilitation 2018; 43:169-182. [PMID: 30040754 DOI: 10.3233/nre-172375] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Preinjury employment status may contribute to disparity, injury risk, and recovery patterns following mild traumatic brain injury (MTBI). OBJECTIVE To characterize associations between preinjury unemployment, prior comorbidities, and outcomes following MTBI. METHODS MTBI patients from TRACK-TBI Pilot with complete six-month outcomes were extracted. Preinjury unemployment, comorbidities, injury factors, and intracranial pathology were considered. Multivariable regression was performed for employment and outcomes, correcting for demographic and injury factors. Mean-differences (B) and 95% CIs are reported. Statistical significance was assessed at p < 0.05. RESULTS 162 MTBI patients were aged 39.8±15.4-years and 24.6% -unemployed. Unemployed patients demonstrated increased psychiatric comorbidities (45.0% -vs.- 23.8%; p = 0.010), drug use (52.5% -vs.- 21.3%; p < 0.001), smoking (62.5% -vs.- 27.0%; p < 0.001), prior TBI (78.4% -vs.- 55.0%; p = 0.012), and lower education (15.0% -vs.- 45.1% college degree; p = 0.003). On multivariable analysis, unemployment associated with decreased six-month functional outcome (Glasgow Outcome Scale-Extended: B = - 0.50, 95% CI [- 0.88, - 0.11]), increased psychiatric disturbance (Brief Symptom Inventory-18: B = 6.22 [2.33, 10.10]), postconcussional symptoms (Rivermead Questionnaire: B = 4.91 [0.38, 9.44]), and post-traumatic stress disorder (PTSD Checklist-Civilian: B = 5.99 [0.76, 11.22]). No differences were observed for cognitive measures or satisfaction with life. CONCLUSIONS Unemployed patients are at risk for preinjury psychosocial comorbidities, poorer six-month functional recovery and increased psychiatric/postconcussional/PTSD symptoms. Resource allocation and return precautions should be implemented to mitigate and/or prevent the decline of at-risk patients.
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Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Jonathan W Rick
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Molly Rose Morrissey
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Sabrina R Taylor
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Hansen Deng
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Catherine G Suen
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Mary J Vassar
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Maryse C Cnossen
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Hester F Lingsma
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Esther L Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.,Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.,Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Raquel C Gardner
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA.,Department of Neurology, Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Alex B Valadka
- Department of Neurological Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, PA, USA
| | - Tene A Cage
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
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Yue JK, Winkler EA, Puffer RC, Deng H, Phelps RRL, Wagle S, Morrissey MR, Rivera EJ, Runyon SJ, Vassar MJ, Taylor SR, Cnossen MC, Lingsma HF, Yuh EL, Mukherjee P, Schnyer DM, Puccio AM, Valadka AB, Okonkwo DO, Manley GT, The Track-Tbi Investigators. Temporal lobe contusions on computed tomography are associated with impaired 6-month functional recovery after mild traumatic brain injury: a TRACK-TBI study. Neurol Res 2018; 40:972-981. [PMID: 30175944 DOI: 10.1080/01616412.2018.1505416] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
INTRODUCTION Mild traumatic brain injury (MTBI) can cause persistent functional deficits and healthcare burden. Understanding the association between intracranial contusions and outcome may aid in MTBI treatment and prognosis. METHODS MTBI patients with Glasgow Coma Scale 13-15 and 6-month outcomes [Glasgow Outcome Scale-Extended (GOSE)], without polytrauma from the prospective TRACK-TBI Pilot study were analyzed. Intracranial contusions on computed tomography (CT) were coded by location. Multivariable regression evaluated associations between intracranial injury type (temporal contusion [TC], frontal contusion, extraaxial [epidural/subdural/subarachnoid], other-intraaxial [intracerebral/intraventricular hemorrhage, axonal injury]) and GOSE. Odds ratios (OR) are reported. RESULTS Overall, 260 MTBI subjects were aged 44.4 ± 18.1-years; 67.7% were male. Ninety-seven subjects were CT-positive and 46 had contusions (41.3%-frontal, 30.4%-temporal, 21.7%-frontal + temporal, 2.2% each-parietal/occipital/brainstem); 95.7% had concurrent extraaxial hemorrhage. Mortality was 0% at discharge and 2.3% by 6-months. GOSE distribution was 2.3%-death, 1.5%-severe disability, 27.7%-moderate disability, 68.5%-good recovery. Forty-six percent of TC-positive subjects suffered moderate disability or worse (GOSE ≤6) and 41.7% were unable to return to baseline work capacity (RTBWC), compared to 29.1%/20.4% for CT-negative and 26.1%/20.9% for CT-positive subjects without TC. On multivariable regression, TC associated with OR = 3.33 (95% CI [1.16-9.60], p = 0.026) for GOSE ≤6, and OR = 4.48 ([1.49-13.51], p = 0.008) for inability to RTBWC. CONCLUSIONS Parenchymal contusions in MTBI are often accompanied by extraaxial hemorrhage. TCs may be associated with 6-month functional impairment. Their presence on imaging should alert the clinician to the need for heightened surveillance of sequelae complicating RTBWC, with low threshold for referral to services.
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Affiliation(s)
- John K Yue
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Ethan A Winkler
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Ross C Puffer
- c Department of Neurological Surgery , Mayo Clinic , Rochester , MN , USA.,d Department of Neurological Surgery , University of Pittsburgh Medical Center , Pittsburgh , PA , USA
| | - Hansen Deng
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Ryan R L Phelps
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Sagar Wagle
- e Department of Radiology , Mayo Clinic , Rochester , MN , USA
| | - Molly Rose Morrissey
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Ernesto J Rivera
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Sarah J Runyon
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Mary J Vassar
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Sabrina R Taylor
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
| | - Maryse C Cnossen
- f Department of Public Health , Erasmus Medical Center , Rotterdam , The Netherlands
| | - Hester F Lingsma
- f Department of Public Health , Erasmus Medical Center , Rotterdam , The Netherlands
| | - Esther L Yuh
- b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA.,g Department of Radiology , University of California San Francisco , San Francisco , CA , USA
| | - Pratik Mukherjee
- b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA.,g Department of Radiology , University of California San Francisco , San Francisco , CA , USA
| | - David M Schnyer
- h Department of Psychology , University of Texas at Austin , Austin , TX , USA
| | - Ava M Puccio
- d Department of Neurological Surgery , University of Pittsburgh Medical Center , Pittsburgh , PA , USA
| | - Alex B Valadka
- i Department of Neurological Surgery , Virginia Commonwealth University , Richmond , VA , USA
| | - David O Okonkwo
- d Department of Neurological Surgery , University of Pittsburgh Medical Center , Pittsburgh , PA , USA
| | - Geoffrey T Manley
- a Department of Neurological Surgery , University of California San Francisco , San Francisco , CA , USA.,b Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital , San Francisco , CA , USA
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Korley FK, Yue JK, Wilson DH, Hrusovsky K, Diaz-Arrastia R, Ferguson AR, Yuh EL, Mukherjee P, Wang KKW, Valadka AB, Puccio AM, Okonkwo DO, Manley GT. Performance Evaluation of a Multiplex Assay for Simultaneous Detection of Four Clinically Relevant Traumatic Brain Injury Biomarkers. J Neurotrauma 2018; 36:182-187. [PMID: 29690824 PMCID: PMC6306681 DOI: 10.1089/neu.2017.5623] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Traumatic brain injury (TBI) results in heterogeneous pathology affecting multiple cells and tissue types in the brain. It is likely that assessment of such complexity will require simultaneous measurement of multiple molecular biomarkers in a single sample of biological fluid. We measured glial fibrillary acidic protein (GFAP), ubiquitin c-terminal hydrolase L1 (UCH-L1), neurofilament light chain (NF-L) and total tau in plasma samples obtained from 107 subjects enrolled in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) Study using the Quanterix Simoa 4-Plex assay. We also measured NF-L using the Simoa singleplex assay. We computed the correlation between the different biomarkers and calculated the discriminative value of each biomarker for distinguishing between subjects with abnormal versus normal head computed tomography (CT). We found a strong correlation between NF-L values derived from the multiplex and singleplex assays (correlation coefficient = 0.997). Among biomarker values derived from the multiplex assay, the strongest correlation was between the axonal and neuronal markers, NF-L and UCH-L1 (coefficient = 0.71). The weakest correlation was between the glial marker GFAP and the axonal marker tau (coefficient = 0.06). The areas under the curves for distinguishing between subjects with/without abnormal head CT for multiplex GFAP, UCH-L1, NF-L, and total tau were: 0.88 (95% confidence interval 0.81-0.95), 0.86 (0.79-0.93), 0.84 (0.77-0.92), and 0.77 0.67-0.86), respectively. We conclude that the multiplex assay provides simultaneous quantification of GFAP, UCH-L1, NF-L, and tau, and may be clinically useful in the diagnosis of TBI as well as identifying different types of cellular injury.
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Affiliation(s)
- Frederick K. Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan
| | - John K. Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | | | | | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Traumatic Brain Injury Clinical Research Center, Penn Presbyterian Medical Center, Philadelphia, Pennsylvania
| | - Adam R. Ferguson
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Esther L. Yuh
- Department of Radiology, University of California, San Francisco, San Francisco, California
| | - Pratik Mukherjee
- Department of Radiology, University of California, San Francisco, San Francisco, California
| | - Kevin K. W. Wang
- Center for Neuroproteomics and Biomarkers Research, Department of Psychiatry, McKnight Brain Institute, University of Florida, Gainesville, Florida
| | - Alex B. Valadka
- Department of Neurological Surgery, Virginia Commonwealth University, Richmond, Virginia
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
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Gardner RC, Rubenstein R, Wang KKW, Korley FK, Yue JK, Yuh EL, Mukherje P, Valadka AB, Okonkwo DO, Diaz-Arrastia R, Manley GT. Age-Related Differences in Diagnostic Accuracy of Plasma Glial Fibrillary Acidic Protein and Tau for Identifying Acute Intracranial Trauma on Computed Tomography: A TRACK-TBI Study. J Neurotrauma 2018; 35:2341-2350. [PMID: 29717620 DOI: 10.1089/neu.2018.5694] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Plasma tau and glial fibrillary acidic protein (GFAP) are promising biomarkers for identifying traumatic brain injury (TBI) patients with intracranial trauma on computed tomography (CT). Accuracy in older adults with mild TBI (mTBI), the fastest growing TBI population, is unknown. Our aim was to assess for age-related differences in diagnostic accuracy of plasma tau and GFAP for identifying intracranial trauma on CT. Samples from 169 patients (age <40 years [n = 79], age 40-59 years [n = 60], age 60 years+ [n = 30]), a subset of patients from the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Pilot study who presented with mTBI (Glasgow Coma Scale score of 13-15), received head CT, and consented to blood draw within 24 h of injury, were assayed for hyperphosphorylated-tau (P-tau), total-tau (T-tau; both via amplification-linked enhanced immunoassay using multi-arrayed fiberoptics), and GFAP (via sandwich enzyme-linked immunosorbent assay). P-tau, T-tau, P-tau:T-tau ratio, and GFAP concentration were significantly associated with CT findings. Overall, discriminative ability declined with increasing age for all assays, but this decline was only statistically significant for GFAP (area under the receiver operating characteristic curve [AUC]: old 0.73 [reference group; ref] vs. young 0.93 [p = 0.037] or middle-aged 0.92 [p = 0.0497]). P-tau concentration consistently showed the highest diagnostic accuracy across all age-groups (AUC: old 0.84 [ref] vs. young 0.95 [p = 0.274] or middle-aged 0.93 [p = 0.367]). Comparison of models including P-tau alone versus P-tau plus GFAP revealed significant added value of GFAP. In conclusion, the GFAP assay was less accurate for identifying intracranial trauma on CT among older versus younger mTBI patients. Mechanisms of this age-related difference, including role of assay methodology, specific TBI neuroanatomy, pre-existing conditions, and anti-thrombotic use, warrant further study.
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Affiliation(s)
- Raquel C Gardner
- 1 Department of Neurology, Memory and Aging Center, and Weill Institute for Neurosciences, University of California San Francisco , San Francisco, California.,2 Department of Neurology and Center for Population Brain Health, San Francisco Veterans Affairs Medical Center , San Francisco, California
| | - Richard Rubenstein
- 3 Departments of Neurology and Physiology/Pharmacology, Laboratory of Neurodegenerative Diseases and CNS Biomarker Discovery, State University of New York Downstate Medical Center , Brooklyn, New York
| | - Kevin K W Wang
- 4 Program for Neurotrauma, Neuroproteomics and Biomarker Research, Departments of Emergency Medicine, Psychiatry, Neuroscience and Chemistry, University of Florida , Gainesville, Florida.,5 Brain Rehabilitation Research Center , Malcom Randall VA Medical Center, Gainesville, Florida
| | - Frederick K Korley
- 6 Department of Emergency Medicine, University of Michigan , Ann Arbor, Michigan
| | - John K Yue
- 7 Department of Neurological Surgery, University of California San Francisco , San Francisco, California.,8 Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Esther L Yuh
- 8 Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital, San Francisco, California.,9 Department of Radiology, University of California San Francisco , San Francisco, California
| | - Pratik Mukherje
- 8 Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital, San Francisco, California.,9 Department of Radiology, University of California San Francisco , San Francisco, California
| | - Alex B Valadka
- 10 Department of Neurological Surgery, Virginia Commonwealth University , Richmond, Virginia
| | - David O Okonkwo
- 11 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - Ramon Diaz-Arrastia
- 12 Department of Neurology, University of Pennsylvania Perelman School of Medicine , Philadelphia, Pennsylvania
| | - Geoffrey T Manley
- 7 Department of Neurological Surgery, University of California San Francisco , San Francisco, California.,8 Brain and Spinal Injury Center , Zuckerberg San Francisco General Hospital, San Francisco, California
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Ngwenya LB, Gardner RC, Yue JK, Burke JF, Ferguson AR, Huang MC, Winkler EA, Pirracchio R, Satris GG, Yuh EL, Mukherjee P, Valadka AB, Okonkwo DO, Manley GT. Concordance of common data elements for assessment of subjective cognitive complaints after mild-traumatic brain injury: a TRACK-TBI Pilot Study. Brain Inj 2018; 32:1071-1078. [DOI: 10.1080/02699052.2018.1481527] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Laura B. Ngwenya
- Department of Neurosurgery, University of Cincinnati, Cincinnati, OH, USA
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Raquel C. Gardner
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, San Francisco Veterans Administration Medical Center, San Francisco, CA, USA
| | - John K. Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - John F. Burke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Adam R. Ferguson
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Michael C. Huang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Ethan A. Winkler
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Romain Pirracchio
- Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, USA
| | - Gabriela G. Satris
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Esther L. Yuh
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Alex B. Valadka
- Department of Neurological Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
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Yue JK, Winkler EA, Sharma S, Vassar MJ, Ratcliff JJ, Korley FK, Seabury SA, Ferguson AR, Lingsma HF, Deng H, Meeuws S, Adeoye OM, Rick JW, Robinson CK, Duarte SM, Yuh EL, Mukherjee P, Dikmen SS, McAllister TW, Diaz-Arrastia R, Valadka AB, Gordon WA, Okonkwo DO, Manley GT. Temporal profile of care following mild traumatic brain injury: predictors of hospital admission, follow-up referral and six-month outcome. Brain Inj 2017; 31:1820-1829. [DOI: 10.1080/02699052.2017.1351000] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- John K. Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Ethan A. Winkler
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Sourabh Sharma
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Mary J. Vassar
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Jonathan J. Ratcliff
- Departments of Emergency Medicine and Neurology, Emory University, Atlanta, GA, USA
| | - Frederick K. Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Seth A. Seabury
- Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA
| | - Adam R. Ferguson
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Hester F. Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Hansen Deng
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Sacha Meeuws
- Department of Neurological Surgery, University Hospital Antwerp, Edegem, Belgium
| | - Opeolu M. Adeoye
- Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Jonathan W. Rick
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
- Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Caitlin K. Robinson
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Siena M. Duarte
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Esther L. Yuh
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
- Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
- Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Sureyya S. Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | | | - Ramon Diaz-Arrastia
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Center for Neuroscience and Regenerative Medicine, Bethesda, MD, USA
| | | | - Wayne A. Gordon
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
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Shah VN, von Fischer ND, Chin CT, Yuh EL, Amans MR, Dillon WP, Hess CP. Long-Term Effectiveness of Direct CT-Guided Aspiration and Fenestration of Symptomatic Lumbar Facet Synovial Cysts. AJNR Am J Neuroradiol 2017; 39:193-198. [PMID: 29122762 DOI: 10.3174/ajnr.a5428] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 08/19/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Lumbar facet synovial cysts are commonly seen in facet degenerative arthropathy and may be symptomatic when narrowing the spinal canal or compressing nerve roots. The purpose of this study was to analyze the safety, effectiveness, and long-term outcomes of direct CT-guided lumbar facet synovial cyst aspiration and fenestration for symptom relief and for obviating an operation. MATERIALS AND METHODS We retrospectively reviewed the medical records and imaging studies of 64 consecutive patients between 2006 and 2016 who underwent 85 CT-guided lumbar facet synovial cyst fenestration procedures in our department. We recorded patient demographics, lumbar facet synovial cyst imaging characteristics, presenting symptoms, change in symptoms after the procedure, and whether they underwent a subsequent operation. We also assessed long-term outcomes from the medical records and via follow-up telephone surveys with patients. RESULTS Direct CT-guided lumbar facet synovial cyst puncture was technically successful in 98% of procedures. At first postprocedural follow-up, 86% of patients had a complete or partial symptomatic response. During a mean follow-up of 49 months, 56% of patients had partial or complete long-term relief without the need for an operation; 44% of patients underwent an operation. Patients with calcified, thick-rimmed, or low T2 signal intensity cysts were less likely to respond to the procedure and more likely to need an operation. CONCLUSIONS CT-guided direct lumbar facet synovial cyst aspiration and fenestration procedures are safe, effective, and minimally invasive for symptomatic treatment of lumbar synovial facet cysts. This procedure obviates an operation in a substantial number of patients, even at long-term follow-up, and should be considered before surgical intervention.
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Affiliation(s)
- V N Shah
- From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
| | - N D von Fischer
- From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - C T Chin
- From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - E L Yuh
- From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - M R Amans
- From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - W P Dillon
- From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - C P Hess
- From the Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
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Rubenstein R, Chang B, Yue JK, Chiu A, Winkler EA, Puccio AM, Diaz-Arrastia R, Yuh EL, Mukherjee P, Valadka AB, Gordon WA, Okonkwo DO, Davies P, Agarwal S, Lin F, Sarkis G, Yadikar H, Yang Z, Manley GT, Wang KKW, Cooper SR, Dams-O'Connor K, Borrasso AJ, Inoue T, Maas AIR, Menon DK, Schnyer DM, Vassar MJ. Comparing Plasma Phospho Tau, Total Tau, and Phospho Tau-Total Tau Ratio as Acute and Chronic Traumatic Brain Injury Biomarkers. JAMA Neurol 2017; 74:1063-1072. [PMID: 28738126 DOI: 10.1001/jamaneurol.2017.0655] [Citation(s) in RCA: 153] [Impact Index Per Article: 21.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Importance Annually in the United States, at least 3.5 million people seek medical attention for traumatic brain injury (TBI). The development of therapies for TBI is limited by the absence of diagnostic and prognostic biomarkers. Microtubule-associated protein tau is an axonal phosphoprotein. To date, the presence of the hypophosphorylated tau protein (P-tau) in plasma from patients with acute TBI and chronic TBI has not been investigated. Objective To examine the associations between plasma P-tau and total-tau (T-tau) levels and injury presence, severity, type of pathoanatomic lesion (neuroimaging), and patient outcomes in acute and chronic TBI. Design, Setting, and Participants In the TRACK-TBI Pilot study, plasma was collected at a single time point from 196 patients with acute TBI admitted to 3 level I trauma centers (<24 hours after injury) and 21 patients with TBI admitted to inpatient rehabilitation units (mean [SD], 176.4 [44.5] days after injury). Control samples were purchased from a commercial vendor. The TRACK-TBI Pilot study was conducted from April 1, 2010, to June 30, 2012. Data analysis for the current investigation was performed from August 1, 2015, to March 13, 2017. Main Outcomes and Measures Plasma samples were assayed for P-tau (using an antibody that specifically recognizes phosphothreonine-231) and T-tau using ultra-high sensitivity laser-based immunoassay multi-arrayed fiberoptics conjugated with rolling circle amplification. Results In the 217 patients with TBI, 161 (74.2%) were men; mean (SD) age was 42.5 (18.1) years. The P-tau and T-tau levels and P-tau-T-tau ratio in patients with acute TBI were higher than those in healthy controls. Receiver operating characteristic analysis for the 3 tau indices demonstrated accuracy with area under the curve (AUC) of 1.000, 0.916, and 1.000, respectively, for discriminating mild TBI (Glasgow Coma Scale [GCS] score, 13-15, n = 162) from healthy controls. The P-tau level and P-tau-T-tau ratio were higher in individuals with more severe TBI (GCS, ≤12 vs 13-15). The P-tau level and P-tau-T-tau ratio outperformed the T-tau level in distinguishing cranial computed tomography-positive from -negative cases (AUC = 0.921, 0.923, and 0.646, respectively). Acute P-tau levels and P-tau-T-tau ratio weakly distinguished patients with TBI who had good outcomes (Glasgow Outcome Scale-Extended GOS-E, 7-8) (AUC = 0.663 and 0.658, respectively) and identified those with poor outcomes (GOS-E, ≤4 vs >4) (AUC = 0.771 and 0.777, respectively). Plasma samples from patients with chronic TBI also showed elevated P-tau levels and a P-tau-T-tau ratio significantly higher than that of healthy controls, with both P-tau indices strongly discriminating patients with chronic TBI from healthy controls (AUC = 1.000 and 0.963, respectively). Conclusions and Relevance Plasma P-tau levels and P-tau-T-tau ratio outperformed T-tau level as diagnostic and prognostic biomarkers for acute TBI. Compared with T-tau levels alone, P-tau levels and P-tau-T-tau ratios show more robust and sustained elevations among patients with chronic TBI.
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Affiliation(s)
- Richard Rubenstein
- Laboratory of Neurodegenerative Diseases and CNS Biomarker Discovery, Departments of Neurology and Physiology/Pharmacology, State University of New York Downstate Medical Center, Brooklyn
| | - Binggong Chang
- Laboratory of Neurodegenerative Diseases and CNS Biomarker Discovery, Departments of Neurology and Physiology/Pharmacology, State University of New York Downstate Medical Center, Brooklyn
| | - John K Yue
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California
| | - Allen Chiu
- Laboratory of Neurodegenerative Diseases and CNS Biomarker Discovery, Departments of Neurology and Physiology/Pharmacology, State University of New York Downstate Medical Center, Brooklyn
| | - Ethan A Winkler
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco
| | - Ava M Puccio
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | - Esther L Yuh
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California.,Department of Radiology, University of California, San Francisco
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California.,Department of Radiology, University of California, San Francisco
| | - Alex B Valadka
- Department of Neurosurgery, Virginia Commonwealth University, Richmond
| | - Wayne A Gordon
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - David O Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Peter Davies
- Litwin-Zucker Center for Research in Alzheimer's Disease, Feinstein Institute for Medical Research, Manhasset, New York
| | - Sanjeev Agarwal
- Department of Orthopedic Surgery and Rehabilitation Medicine, State University of New York Downstate Medical Center, Brooklyn
| | - Fan Lin
- Program for Neurotrauma, Neuroproteomics, and Biomarker Research, Department of Emergency Medicine, Psychiatry and Chemistry, University of Florida, Gainesville
| | - George Sarkis
- Program for Neurotrauma, Neuroproteomics, and Biomarker Research, Department of Emergency Medicine, Psychiatry and Chemistry, University of Florida, Gainesville.,Department of Chemistry, Faculty of Science, Alexandria University, Ibrahimia, Alexandria, Egypt
| | - Hamad Yadikar
- Program for Neurotrauma, Neuroproteomics, and Biomarker Research, Department of Emergency Medicine, Psychiatry and Chemistry, University of Florida, Gainesville.,Department of Biochemistry, Kuwait University, Khadiya, Kuwait
| | - Zhihui Yang
- Program for Neurotrauma, Neuroproteomics, and Biomarker Research, Department of Emergency Medicine, Psychiatry and Chemistry, University of Florida, Gainesville
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco
| | - Kevin K W Wang
- Program for Neurotrauma, Neuroproteomics, and Biomarker Research, Department of Emergency Medicine, Psychiatry and Chemistry, University of Florida, Gainesville
| | | | - Shelly R Cooper
- Department of Psychology, Washington University, St Louis, Missouri
| | - Kristen Dams-O'Connor
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Allison J Borrasso
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Tomoo Inoue
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium
| | - David K Menon
- Departments of Anesthesia and Neurocritical Care, University of Cambridge, Cambridge, England
| | | | - Mary J Vassar
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco
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Yue JK, Robinson CK, Burke JF, Winkler EA, Deng H, Cnossen MC, Lingsma HF, Ferguson AR, McAllister TW, Rosand J, Burchard EG, Sorani MD, Sharma S, Nielson JL, Satris GG, Talbott JF, Tarapore PE, Korley FK, Wang KK, Yuh EL, Mukherjee P, Diaz‐Arrastia R, Valadka AB, Okonkwo DO, Manley GT. Apolipoprotein E epsilon 4 (APOE-ε 4) genotype is associated with decreased 6-month verbal memory performance after mild traumatic brain injury. Brain Behav 2017; 7:e00791. [PMID: 28948085 PMCID: PMC5607554 DOI: 10.1002/brb3.791] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Revised: 06/28/2017] [Accepted: 07/02/2017] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION The apolipoprotein E (APOE) ε4 allele associates with memory impairment in neurodegenerative diseases. Its association with memory after mild traumatic brain injury (mTBI) is unclear. METHODS mTBI patients (Glasgow Coma Scale score 13-15, no neurosurgical intervention, extracranial Abbreviated Injury Scale score ≤1) aged ≥18 years with APOE genotyping results were extracted from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) study. Cohorts determined by APOE-ε4(+/-) were assessed for associations with 6-month verbal memory, measured by California Verbal Learning Test, Second Edition (CVLT-II) subscales: Immediate Recall Trials 1-5 (IRT), Short-Delay Free Recall (SDFR), Short-Delay Cued Recall (SDCR), Long-Delay Free Recall (LDFR), and Long-Delay Cued Recall (LDCR). Multivariable regression controlled for demographic factors, seizure history, loss of consciousness, posttraumatic amnesia, and acute intracranial pathology on computed tomography (CT). RESULTS In 114 mTBI patients (APOE-ε4(-)=79; APOE-ε4(+)=35), ApoE-ε4(+) was associated with long-delay verbal memory deficits (LDFR: B = -1.17 points, 95% CI [-2.33, -0.01], p = .049; LDCR: B = -1.58 [-2.63, -0.52], p = .004), and a marginal decrease on SDCR (B = -1.02 [-2.05, 0.00], p = .050). CT pathology was the strongest predictor of decreased verbal memory (IRT: B = -8.49, SDFR: B = -2.50, SDCR: B = -1.85, LDFR: B = -2.61, LDCR: B = -2.60; p < .001). Seizure history was associated with decreased short-term memory (SDFR: B = -1.32, p = .037; SDCR: B = -1.44, p = .038). CONCLUSION The APOE-ε4 allele may confer an increased risk of impairment of 6-month verbal memory for patients suffering mTBI, with implications for heightened surveillance and targeted therapies. Acute intracranial pathology remains the driver of decreased verbal memory performance at 6 months after mTBI.
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Affiliation(s)
- John K. Yue
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Caitlin K. Robinson
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - John F. Burke
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Ethan A. Winkler
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Hansen Deng
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Maryse C. Cnossen
- Department of Public HealthErasmus Medical CenterRotterdamThe Netherlands
| | - Hester F. Lingsma
- Department of Public HealthErasmus Medical CenterRotterdamThe Netherlands
| | - Adam R. Ferguson
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | | | - Jonathan Rosand
- Program in Medical and Population GeneticsThe Broad Institute at MIT and HarvardCambridgeMAUSA
- Department of NeurologyHarvard Medical SchoolBostonMAUSA
| | - Esteban G. Burchard
- Department of Bioengineering and Therapeutic SciencesUniversity of California, San FranciscoSan FranciscoCAUSA
| | - Marco D. Sorani
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Sourabh Sharma
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Stritch School of Medicine at Loyola UniversityMaywoodILUSA
| | - Jessica L. Nielson
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Gabriela G. Satris
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Jason F. Talbott
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
- Department of RadiologyUniversity of California, San FranciscoSan FranciscoCAUSA
| | - Phiroz E. Tarapore
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
| | - Frederick K. Korley
- Department of Emergency MedicineUniversity of Michigan at Ann ArborAnn ArborMIUSA
| | - Kevin K.W. Wang
- Departments of Psychiatry and NeuroscienceUniversity of FloridaGainesvilleFLUSA
| | - Esther L. Yuh
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Department of RadiologyUniversity of California, San FranciscoSan FranciscoCAUSA
| | - Pratik Mukherjee
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Department of RadiologyUniversity of California, San FranciscoSan FranciscoCAUSA
| | | | - Alex B. Valadka
- Department of Neurological SurgeryVirginia Commonwealth UniversityRichmondVAUSA
| | - David O. Okonkwo
- Department of Neurological SurgeryUniversity of Pittsburgh Medical CenterPittsburghPAUSA
| | - Geoffrey T. Manley
- Department of Neurological SurgeryUniversity of California, San FranciscoSan FranciscoCAUSA
- Brain and Spinal Injury CenterSan Francisco General HospitalSan FranciscoCAUSA
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Yue JK, Ngwenya LB, Upadhyayula PS, Deng H, Winkler EA, Burke JF, Lee YM, Robinson CK, Ferguson AR, Lingsma HF, Cnossen MC, Pirracchio R, Korley FK, Vassar MJ, Yuh EL, Mukherjee P, Gordon WA, Valadka AB, Okonkwo DO, Manley GT. Emergency department blood alcohol level associates with injury factors and six-month outcome after uncomplicated mild traumatic brain injury. J Clin Neurosci 2017; 45:293-298. [PMID: 28789959 DOI: 10.1016/j.jocn.2017.07.022] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 07/21/2017] [Indexed: 10/19/2022]
Abstract
The relationship between blood alcohol level (BAL) and mild traumatic brain injury (mTBI) remains in need of improved characterization. Adult patients suffering mTBI without intracranial pathology on computed tomography (CT) from the prospective Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot study with emergency department (ED) Glasgow Coma Scale (GCS) 13-15 and recorded blood alcohol level (BAL) were extracted. BAL≥80-mg/dl was set as proxy for excessive use. Multivariable regression was performed for patients with six-month Glasgow Outcome Scale-Extended (GOSE; functional recovery) and Wechsler Adult Intelligence Scale Processing Speed Index Composite Score (WAIS-PSI; nonverbal processing speed), using BAL≥80-mg/dl and <80-mg/dl cohorts, adjusting for demographic/injury factors. Overall, 107 patients were aged 42.7±16.8-years, 67.3%-male, and 80.4%-Caucasian; 65.4% had BAL=0-mg/dl, 4.6% BAL<80-mg/dl, and 30.0% BAL≥80-mg/dl (range 100-440-mg/dl). BAL differed across loss of consciousness (LOC; none: median 0-mg/dl [interquartile range (IQR) 0-0], <30-min: 0-mg/dl [0-43], ≥30-min: 224-mg/dl [50-269], unknown: 108-mg/dl [0-232]; p=0.002). GCS<15 associated with higher BAL (19-mg/dl [0-204] vs. 0-mg/dl [0-20]; p=0.013). On univariate analysis, BAL≥80-mg/dl associated with less-than-full functional recovery (GOSE≤7; 38.1% vs. 11.5%; p=0.025) and lower WAIS-PSI (92.4±12.7, 30th-percentile vs. 105.1±11.7, 63rd-percentile; p<0.001). On multivariable regression BAL≥80-mg/dl demonstrated an odds ratio of 8.05 (95% CI [1.35-47.92]; p=0.022) for GOSE≤7 and an adjusted mean decrease of 8.88-points (95% CI [0.67-17.09]; p=0.035) on WAIS-PSI. Day-of-injury BAL>80-mg/dl after uncomplicated mTBI was associated with decreased GCS score and prolongation of reported LOC. BAL may be a biomarker for impaired return to baseline function and decreased nonverbal processing speed at six-months postinjury. Future confirmatory studies are needed.
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Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Laura B Ngwenya
- Department of Neurological Surgery, University of Cincinnati, Cincinnati, OH, USA
| | - Pavan S Upadhyayula
- Department of Neurological Surgery, University of California, San Diego, La Jolla, CA, USA
| | - Hansen Deng
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Ethan A Winkler
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - John F Burke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Young M Lee
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Caitlin K Robinson
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Adam R Ferguson
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Maryse C Cnossen
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Romain Pirracchio
- Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, USA; Division of Biostatistics, University of California, Berkeley, Berkeley, CA, USA
| | - Frederick K Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mary J Vassar
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Esther L Yuh
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Pratik Mukherjee
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Wayne A Gordon
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex B Valadka
- Department of Neurological Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA.
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Nielson JL, Cooper SR, Yue JK, Sorani MD, Inoue T, Yuh EL, Mukherjee P, Petrossian TC, Paquette J, Lum PY, Carlsson GE, Vassar MJ, Lingsma HF, Gordon WA, Valadka AB, Okonkwo DO, Manley GT, Ferguson AR. Uncovering precision phenotype-biomarker associations in traumatic brain injury using topological data analysis. PLoS One 2017; 12:e0169490. [PMID: 28257413 PMCID: PMC5336356 DOI: 10.1371/journal.pone.0169490] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 12/16/2016] [Indexed: 12/13/2022] Open
Abstract
Background Traumatic brain injury (TBI) is a complex disorder that is traditionally stratified based on clinical signs and symptoms. Recent imaging and molecular biomarker innovations provide unprecedented opportunities for improved TBI precision medicine, incorporating patho-anatomical and molecular mechanisms. Complete integration of these diverse data for TBI diagnosis and patient stratification remains an unmet challenge. Methods and findings The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Pilot multicenter study enrolled 586 acute TBI patients and collected diverse common data elements (TBI-CDEs) across the study population, including imaging, genetics, and clinical outcomes. We then applied topology-based data-driven discovery to identify natural subgroups of patients, based on the TBI-CDEs collected. Our hypothesis was two-fold: 1) A machine learning tool known as topological data analysis (TDA) would reveal data-driven patterns in patient outcomes to identify candidate biomarkers of recovery, and 2) TDA-identified biomarkers would significantly predict patient outcome recovery after TBI using more traditional methods of univariate statistical tests. TDA algorithms organized and mapped the data of TBI patients in multidimensional space, identifying a subset of mild TBI patients with a specific multivariate phenotype associated with unfavorable outcome at 3 and 6 months after injury. Further analyses revealed that this patient subset had high rates of post-traumatic stress disorder (PTSD), and enrichment in several distinct genetic polymorphisms associated with cellular responses to stress and DNA damage (PARP1), and in striatal dopamine processing (ANKK1, COMT, DRD2). Conclusions TDA identified a unique diagnostic subgroup of patients with unfavorable outcome after mild TBI that were significantly predicted by the presence of specific genetic polymorphisms. Machine learning methods such as TDA may provide a robust method for patient stratification and treatment planning targeting identified biomarkers in future clinical trials in TBI patients. Trial Registration ClinicalTrials.gov Identifier NCT01565551
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MESH Headings
- Adult
- Biomarkers
- Brain Injuries, Traumatic/diagnosis
- Brain Injuries, Traumatic/diagnostic imaging
- Brain Injuries, Traumatic/genetics
- Brain Injuries, Traumatic/physiopathology
- Catechol O-Methyltransferase/genetics
- Female
- Humans
- Machine Learning
- Male
- Middle Aged
- Poly (ADP-Ribose) Polymerase-1/genetics
- Polymorphism, Single Nucleotide
- Protein Serine-Threonine Kinases/genetics
- Receptors, Dopamine D2/genetics
- Stress Disorders, Post-Traumatic/diagnosis
- Stress Disorders, Post-Traumatic/diagnostic imaging
- Stress Disorders, Post-Traumatic/genetics
- Stress Disorders, Post-Traumatic/physiopathology
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Affiliation(s)
- Jessica L. Nielson
- Brain and Spinal Injury Center (BASIC), Zuckerberg San Francisco General Hospital, San Francisco, CA, United States of America
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
| | - Shelly R. Cooper
- Brain and Spinal Injury Center (BASIC), Zuckerberg San Francisco General Hospital, San Francisco, CA, United States of America
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States of America
| | - John K. Yue
- Brain and Spinal Injury Center (BASIC), Zuckerberg San Francisco General Hospital, San Francisco, CA, United States of America
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
| | - Marco D. Sorani
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
| | - Tomoo Inoue
- Brain and Spinal Injury Center (BASIC), Zuckerberg San Francisco General Hospital, San Francisco, CA, United States of America
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
| | - Esther L. Yuh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States of America
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States of America
| | | | | | - Pek Y. Lum
- Ayasdi, Inc, Palo Alto, CA, United States of America
| | | | - Mary J. Vassar
- Brain and Spinal Injury Center (BASIC), Zuckerberg San Francisco General Hospital, San Francisco, CA, United States of America
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
| | | | - Wayne A. Gordon
- Department of Rehabilitation Medicine, Icahn School of Medicine, Mount Sinai, New York, NY, United States of America
| | - Alex B. Valadka
- Department of Neurosurgery, Virginia Commonwealth University, Richmond, VA, United States of America
| | - David O. Okonkwo
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Geoffrey T. Manley
- Brain and Spinal Injury Center (BASIC), Zuckerberg San Francisco General Hospital, San Francisco, CA, United States of America
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
- * E-mail: (ARF); (GTM)
| | - Adam R. Ferguson
- Brain and Spinal Injury Center (BASIC), Zuckerberg San Francisco General Hospital, San Francisco, CA, United States of America
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
- Department of Veterans Affairs, San Francisco VA Medical Center, San Francisco, CA, United States of America
- * E-mail: (ARF); (GTM)
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Palacios EM, Yuh EL, Chang YS, Yue JK, Schnyer DM, Okonkwo DO, Valadka AB, Gordon WA, Maas AIR, Vassar M, Manley GT, Mukherjee P. Resting-State Functional Connectivity Alterations Associated with Six-Month Outcomes in Mild Traumatic Brain Injury. J Neurotrauma 2017; 34:1546-1557. [PMID: 28085565 DOI: 10.1089/neu.2016.4752] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Brain lesions are subtle or absent in most patients with mild traumatic brain injury (mTBI) and the standard clinical criteria are not reliable for predicting long-term outcome. This study investigates resting-state functional MRI (rsfMRI) to assess semiacute alterations in brain connectivity and its relationship with outcome measures assessed 6 months after injury. Seventy-five mTBI patients were recruited as part of the prospective multicenter Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) pilot study and compared with matched 47 healthy subjects. Patients were classified following radiological criteria: CT/MRI positive, evidence of lesions; CT/MRI negative, without evidence of brain lesions. rsfMRI data were acquired and then processed using probabilistic independent component analysis. We compared the functional connectivity of the resting-state networks (RSNs) between patients and controls, as well as group differences in the interactions between RSNs, and related both to cognitive and behavioral performance at 6 months post-injury. Alterations were found in the spatial maps of the RSNs between mTBI patients and healthy controls in networks involved in behavioral and cognition processes. These alterations were predictive of mTBI patients' outcomes at 6 months post-injury. Moreover, different patterns of reduced network interactions were found between the CT/MRI positive and CT/MRI negative patients and the control group. These rsfMRI results demonstrate that even mTBI patients not showing brain lesions on conventional CT/MRI scans can have alterations of functional connectivity at the semiacute stage that help explain their outcomes. These results suggest rsfMRI as a sensitive biomarker both for early diagnosis and for prediction of the cognitive and behavioral performance of these patients.
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Affiliation(s)
- Eva M Palacios
- 1 Department of Radiology and Biomedical Imaging, University of California , San Francisco, California
| | - Esther L Yuh
- 1 Department of Radiology and Biomedical Imaging, University of California , San Francisco, California.,2 Brain and Spinal Cord Injury Center, San Francisco General Hospital and Trauma Center , San Francisco, California
| | - Yi-Shin Chang
- 1 Department of Radiology and Biomedical Imaging, University of California , San Francisco, California
| | - John K Yue
- 2 Brain and Spinal Cord Injury Center, San Francisco General Hospital and Trauma Center , San Francisco, California.,3 Department of Neurological Surgery and Brain and Spinal Injury Center, University of California , San Francisco, California
| | - David M Schnyer
- 4 Department of Psychology, University of Texas , Austin, Texas
| | - David O Okonkwo
- 5 Department of Neurological Surgery and Neurotrauma Clinical Trials Center, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - Alex B Valadka
- 6 Department of Neurosurgery, Virginia Commonwealth University , Richmond, Virginia
| | - Wayne A Gordon
- 7 Department of Rehabilitation Medicine, Ichan School of Medicine at Mount Sinai , New York, New York
| | - Andrew I R Maas
- 8 Department of Neurosurgery, Antwerp University Hospital , Edegem, Belgium
| | - Mary Vassar
- 2 Brain and Spinal Cord Injury Center, San Francisco General Hospital and Trauma Center , San Francisco, California.,3 Department of Neurological Surgery and Brain and Spinal Injury Center, University of California , San Francisco, California
| | - Geoffrey T Manley
- 2 Brain and Spinal Cord Injury Center, San Francisco General Hospital and Trauma Center , San Francisco, California.,3 Department of Neurological Surgery and Brain and Spinal Injury Center, University of California , San Francisco, California
| | - Pratik Mukherjee
- 1 Department of Radiology and Biomedical Imaging, University of California , San Francisco, California.,2 Brain and Spinal Cord Injury Center, San Francisco General Hospital and Trauma Center , San Francisco, California
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Palacios EM, Martin AJ, Boss MA, Ezekiel F, Chang YS, Yuh EL, Vassar MJ, Schnyer DM, MacDonald CL, Crawford KL, Irimia A, Toga AW, Mukherjee P. Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study. AJNR Am J Neuroradiol 2016; 38:537-545. [PMID: 28007768 DOI: 10.3174/ajnr.a5025] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Accepted: 10/10/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Precision medicine is an approach to disease diagnosis, treatment, and prevention that relies on quantitative biomarkers that minimize the variability of individual patient measurements. The aim of this study was to assess the intersite variability after harmonization of a high-angular-resolution 3T diffusion tensor imaging protocol across 13 scanners at the 11 academic medical centers participating in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury multisite study. MATERIALS AND METHODS Diffusion MR imaging was acquired from a novel isotropic diffusion phantom developed at the National Institute of Standards and Technology and from the brain of a traveling volunteer on thirteen 3T MR imaging scanners representing 3 major vendors (GE Healthcare, Philips Healthcare, and Siemens). Means of the DTI parameters and their coefficients of variation across scanners were calculated for each DTI metric and white matter tract. RESULTS For the National Institute of Standards and Technology diffusion phantom, the coefficients of variation of the apparent diffusion coefficient across the 13 scanners was <3.8% for a range of diffusivities from 0.4 to 1.1 × 10-6 mm2/s. For the volunteer, the coefficients of variations across scanners of the 4 primary DTI metrics, each averaged over the entire white matter skeleton, were all <5%. In individual white matter tracts, large central pathways showed good reproducibility with the coefficients of variation consistently below 5%. However, smaller tracts showed more variability, with the coefficients of variation of some DTI metrics reaching 10%. CONCLUSIONS The results suggest the feasibility of standardizing DTI across 3T scanners from different MR imaging vendors in a large-scale neuroimaging research study.
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Affiliation(s)
- E M Palacios
- From the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
| | - A J Martin
- From the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
| | - M A Boss
- National Institute of Standards and Technology (M.A.B.), Boulder, Colorado
| | - F Ezekiel
- From the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
| | - Y S Chang
- From the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
| | - E L Yuh
- From the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.).,Brain and Spinal Cord Injury Center (E.L.Y., M.J.V., P.M.), San Francisco General Hospital and Trauma Center, San Francisco, California
| | - M J Vassar
- Neurological Surgery and Brain and Spinal Injury Center (M.J.V.).,Brain and Spinal Cord Injury Center (E.L.Y., M.J.V., P.M.), San Francisco General Hospital and Trauma Center, San Francisco, California
| | - D M Schnyer
- Department of Psychology (D.M.S.), University of Texas, Austin, Texas
| | - C L MacDonald
- Department of Neurological Surgery (C.L.M.), University of Washington, Seattle, Washington
| | - K L Crawford
- Mark and Mary Stevens Neuroimaging and Informatics Institute (K.L.C., A.I., A.W.T.), University of Southern California, Los Angeles, California
| | - A Irimia
- Mark and Mary Stevens Neuroimaging and Informatics Institute (K.L.C., A.I., A.W.T.), University of Southern California, Los Angeles, California
| | - A W Toga
- Mark and Mary Stevens Neuroimaging and Informatics Institute (K.L.C., A.I., A.W.T.), University of Southern California, Los Angeles, California
| | - P Mukherjee
- From the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.) .,Bioengineering and Therapeutic Sciences (P.M.), University of California, San Francisco, San Francisco, California.,Brain and Spinal Cord Injury Center (E.L.Y., M.J.V., P.M.), San Francisco General Hospital and Trauma Center, San Francisco, California
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Yue JK, Winkler EA, Rick JW, Burke JF, McAllister TW, Oh SS, Burchard EG, Hu D, Rosand J, Temkin NR, Korley FK, Sorani MD, Ferguson AR, Lingsma HF, Sharma S, Robinson CK, Yuh EL, Tarapore PE, Wang KKW, Puccio AM, Mukherjee P, Diaz-Arrastia R, Gordon WA, Valadka AB, Okonkwo DO, Manley GT. DRD2 C957T polymorphism is associated with improved 6-month verbal learning following traumatic brain injury. Neurogenetics 2016; 18:29-38. [PMID: 27826691 DOI: 10.1007/s10048-016-0500-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 10/19/2016] [Accepted: 10/21/2016] [Indexed: 11/29/2022]
Abstract
Traumatic brain injury (TBI) often leads to heterogeneous clinical outcomes, which may be influenced by genetic variation. A single-nucleotide polymorphism (SNP) in the dopamine D2 receptor (DRD2) may influence cognitive deficits following TBI. However, part of the association with DRD2 has been attributed to genetic variability within the adjacent ankyrin repeat and kinase domain containing 1 protein (ANKK1). Here, we utilize the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) study to investigate whether a novel DRD2 C957T polymorphism (rs6277) influences outcome on a cognitive battery at 6 months following TBI-California Verbal Learning Test (CVLT-II), Wechsler Adult Intelligence Test Processing Speed Index Composite Score (WAIS-PSI), and Trail Making Test (TMT). Results in 128 Caucasian subjects show that the rs6277 T-allele associates with better verbal learning and recall on CVLT-II Trials 1-5 (T-allele carrier 52.8 ± 1.3 points, C/C 47.9 ± 1.7 points; mean increase 4.9 points, 95% confidence interval [0.9 to 8.8]; p = 0.018), Short-Delay Free Recall (T-carrier 10.9 ± 0.4 points, C/C 9.7 ± 0.5 points; mean increase 1.2 points [0.1 to 2.5]; p = 0.046), and Long-Delay Free Recall (T-carrier 11.5 ± 0.4 points, C/C 10.2 ± 0.5 points; mean increase 1.3 points [0.1 to 2.5]; p = 0.041) after adjusting for age, education years, Glasgow Coma Scale, presence of acute intracranial pathology on head computed tomography scan, and genotype of the ANKK1 SNP rs1800497 using multivariable regression. No association was found between DRD2 C947T and non-verbal processing speed (WAIS-PSI) or mental flexibility (TMT) at 6 months. Hence, DRD2 C947T (rs6277) may be associated with better performance on select cognitive domains independent of ANKK1 following TBI.
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Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Ethan A Winkler
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Jonathan W Rick
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - John F Burke
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Thomas W McAllister
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sam S Oh
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Esteban G Burchard
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Donglei Hu
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jonathan Rosand
- Department of Neurology, Harvard Medical School, Boston, MA, USA.,Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nancy R Temkin
- Department of Neurological Surgery and Biostatistics, University of Washington, Seattle, WA, USA
| | - Frederick K Korley
- Department of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Marco D Sorani
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Adam R Ferguson
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sourabh Sharma
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Caitlin K Robinson
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Esther L Yuh
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Phiroz E Tarapore
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Kevin K W Wang
- Center for Neuroproteomics and Biomarkers Research, Department of Psychiatry and Neuroscience, University of Florida, Gainesville, FL, USA
| | - Ava M Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Pratik Mukherjee
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Center for Neuroscience and Regenerative Medicine, Bethesda, MD, USA
| | - Wayne A Gordon
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex B Valadka
- Department of Neurological Surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA. .,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA.
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44
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Wang KKW, Yang Z, Yue JK, Zhang Z, Winkler EA, Puccio AM, Diaz-Arrastia R, Lingsma HF, Yuh EL, Mukherjee P, Valadka AB, Gordon WA, Okonkwo DO, Manley GT, Cooper SR, Dams-O'Connor K, Hricik AJ, Inoue T, Maas AIR, Menon DK, Schnyer DM, Sinha TK, Vassar MJ. Plasma Anti-Glial Fibrillary Acidic Protein Autoantibody Levels during the Acute and Chronic Phases of Traumatic Brain Injury: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot Study. J Neurotrauma 2016; 33:1270-7. [PMID: 26560343 DOI: 10.1089/neu.2015.3881] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
We described recently a subacute serum autoantibody response toward glial fibrillary acidic protein (GFAP) and its breakdown products 5-10 days after severe traumatic brain injury (TBI). Here, we expanded our anti-GFAP autoantibody (AutoAb[GFAP]) investigation to the multicenter observational study Transforming Research and Clinical Knowledge in TBI Pilot (TRACK-TBI Pilot) to cover the full spectrum of TBI (Glasgow Coma Scale 3-15) by using acute (<24 h) plasma samples from 196 patients with acute TBI admitted to three Level I trauma centers, and a second cohort of 21 participants with chronic TBI admitted to inpatient TBI rehabilitation. We find that acute patients self-reporting previous TBI with loss of consciousness (LOC) (n = 43) had higher day 1 AutoAb[GFAP] (mean ± standard error: 9.11 ± 1.42; n = 43) than healthy controls (2.90 ± 0.92; n = 16; p = 0.032) and acute patients reporting no previous TBI (2.97 ± 0.37; n = 106; p < 0.001), but not acute patients reporting previous TBI without LOC (8.01 ± 1.80; n = 47; p = 0.906). These data suggest that while exposure to TBI may trigger the AutoAb[GFAP] response, circulating antibodies are elevated specifically in acute TBI patients with a history of TBI. AutoAb[GFAP] levels for participants with chronic TBI (average post-TBI time 176 days or 6.21 months) were also significantly higher (15.08 ± 2.82; n = 21) than healthy controls (p < 0.001). These data suggest a persistent upregulation of the autoimmune response to specific brain antigen(s) in the subacute to chronic phase after TBI, as well as after repeated TBI insults. Hence, AutoAb[GFAP] may be a sensitive assay to study the dynamic interactions between post-injury brain and patient-specific autoimmune responses across acute and chronic settings after TBI.
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Affiliation(s)
- Kevin K W Wang
- 1 Departments of Psychiatry and Neuroscience, University of Florida , Gainesville, Florida
| | - Zhihui Yang
- 1 Departments of Psychiatry and Neuroscience, University of Florida , Gainesville, Florida
| | - John K Yue
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,3 Department of Neurological Surgery, University of California , San Francisco, San Francisco, California
| | - Zhiqun Zhang
- 1 Departments of Psychiatry and Neuroscience, University of Florida , Gainesville, Florida
| | - Ethan A Winkler
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,3 Department of Neurological Surgery, University of California , San Francisco, San Francisco, California
| | - Ava M Puccio
- 4 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - Ramon Diaz-Arrastia
- 5 Department of Neurology, Uniformed Services University of the Health Sciences , and Center for Neuroscience and Regenerative Medicine, Bethesda, Maryland
| | - Hester F Lingsma
- 6 Department of Public Health, Erasmus Medical Center , Rotterdam, The Netherlands
| | - Esther L Yuh
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,7 Department of Radiology, University of California , San Francisco, San Francisco, California
| | - Pratik Mukherjee
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,7 Department of Radiology, University of California , San Francisco, San Francisco, California
| | | | - Wayne A Gordon
- 9 Department of Rehabilitation Medicine, Mount Sinai School of Medicine , New York, New York
| | - David O Okonkwo
- 4 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - Geoffrey T Manley
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,3 Department of Neurological Surgery, University of California , San Francisco, San Francisco, California
| | - Shelly R Cooper
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,3 Department of Neurological Surgery, University of California , San Francisco, San Francisco, California.,6 Department of Public Health, Erasmus Medical Center , Rotterdam, The Netherlands
| | - Kristen Dams-O'Connor
- 9 Department of Rehabilitation Medicine, Mount Sinai School of Medicine , New York, New York
| | - Allison J Hricik
- 4 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - Tomoo Inoue
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,3 Department of Neurological Surgery, University of California , San Francisco, San Francisco, California
| | - Andrew I R Maas
- 10 Department of Neurosurgery, Antwerp University Hospital , Edegem, Belgium
| | - David K Menon
- 11 Division of Anaesthesia, University of Cambridge and Addenbrooke's Hospital , Cambridge, United Kingdom
| | - David M Schnyer
- 12 Department of Psychology, University of Texas , Austin, Texas
| | - Tuhin K Sinha
- 7 Department of Radiology, University of California , San Francisco, San Francisco, California
| | - Mary J Vassar
- 2 Brain and Spinal Injury Center, San Francisco General Hospital , San Francisco, California.,3 Department of Neurological Surgery, University of California , San Francisco, San Francisco, California
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Winkler EA, Yue JK, McAllister TW, Temkin NR, Oh SS, Burchard EG, Hu D, Ferguson AR, Lingsma HF, Burke JF, Sorani MD, Rosand J, Yuh EL, Barber J, Tarapore PE, Gardner RC, Sharma S, Satris GG, Eng C, Puccio AM, Wang KKW, Mukherjee P, Valadka AB, Okonkwo DO, Diaz-Arrastia R, Manley GT. COMT Val 158 Met polymorphism is associated with nonverbal cognition following mild traumatic brain injury. Neurogenetics 2015; 17:31-41. [PMID: 26576546 DOI: 10.1007/s10048-015-0467-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 10/22/2015] [Indexed: 11/28/2022]
Abstract
Mild traumatic brain injury (mTBI) results in variable clinical outcomes, which may be influenced by genetic variation. A single-nucleotide polymorphism in catechol-o-methyltransferase (COMT), an enzyme which degrades catecholamine neurotransmitters, may influence cognitive deficits following moderate and/or severe head trauma. However, this has been disputed, and its role in mTBI has not been studied. Here, we utilize the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) study to investigate whether the COMT Val (158) Met polymorphism influences outcome on a cognitive battery 6 months following mTBI--Wechsler Adult Intelligence Test Processing Speed Index Composite Score (WAIS-PSI), Trail Making Test (TMT) Trail B minus Trail A time, and California Verbal Learning Test, Second Edition Trial 1-5 Standard Score (CVLT-II). All patients had an emergency department Glasgow Coma Scale (GCS) of 13-15, no acute intracranial pathology on head CT, and no polytrauma as defined by an Abbreviated Injury Scale (AIS) score of ≥3 in any extracranial region. Results in 100 subjects aged 40.9 (SD 15.2) years (COMT Met (158) /Met (158) 29 %, Met (158) /Val (158) 47 %, Val (158) /Val (158) 24 %) show that the COMT Met (158) allele (mean 101.6 ± SE 2.1) associates with higher nonverbal processing speed on the WAIS-PSI when compared to Val (158) /Val (158) homozygotes (93.8 ± SE 3.0) after controlling for demographics and injury severity (mean increase 7.9 points, 95 % CI [1.4 to 14.3], p = 0.017). The COMT Val (158) Met polymorphism did not associate with mental flexibility on the TMT or with verbal learning on the CVLT-II. Hence, COMT Val (158) Met may preferentially modulate nonverbal cognition following uncomplicated mTBI.Registry: ClinicalTrials.gov Identifier NCT01565551.
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Affiliation(s)
- Ethan A Winkler
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - John K Yue
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Thomas W McAllister
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nancy R Temkin
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, WA, USA
| | - Sam S Oh
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Esteban G Burchard
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Donglei Hu
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam R Ferguson
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - John F Burke
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Marco D Sorani
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Jonathan Rosand
- Department of Neurology, Harvard Medical School, Boston, MA, USA.,Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Esther L Yuh
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA.,Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | - Jason Barber
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, WA, USA
| | - Phiroz E Tarapore
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Raquel C Gardner
- Department of Neurology, Harvard Medical School, Boston, MA, USA.,Department of Neurology, San Francisco Veterans Administration Medical Center, San Francisco, CA, USA
| | - Sourabh Sharma
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Gabriela G Satris
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA
| | - Celeste Eng
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Ava M Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kevin K W Wang
- Center for Neuroproteomics and Biomarkers Research, Departments of Psychiatry and Neuroscience, University of Florida, Gainesville, FL, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA.,Department of Radiology, University of California, San Francisco, San Francisco, CA, USA
| | | | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Center for Neuroscience and Regenerative Medicine, Bethesda, MD, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA, 94110, USA. .,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, CA, USA.
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Korley FK, Diaz-Arrastia R, Wu AHB, Yue JK, Manley GT, Sair HI, Van Eyk J, Everett AD, Okonkwo DO, Valadka AB, Gordon WA, Maas AIR, Mukherjee P, Yuh EL, Lingsma HF, Puccio AM, Schnyer DM. Circulating Brain-Derived Neurotrophic Factor Has Diagnostic and Prognostic Value in Traumatic Brain Injury. J Neurotrauma 2015; 33:215-25. [PMID: 26159676 DOI: 10.1089/neu.2015.3949] [Citation(s) in RCA: 99] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Brain-derived neurotrophic factor (BDNF) is important for neuronal survival and regeneration. We investigated the diagnostic and prognostic values of serum BDNF in traumatic brain injury (TBI). We examined serum BDNF in two independent cohorts of TBI cases presenting to the emergency departments (EDs) of the Johns Hopkins Hospital (JHH; n = 76) and San Francisco General Hospital (SFGH, n = 80), and a control group of JHH ED patients without TBI (n = 150). Findings were subsequently validated in the prospective, multi-center Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Pilot study (n = 159). We investigated the association between BDNF, glial fibrillary acidic protein (GFAP), and ubiquitin C-terminal hydrolase-L1 (UCH-L1) and recovery from TBI at 6 months in the TRACK-TBI Pilot cohort. Incomplete recovery was defined as having either post-concussive syndrome or a Glasgow Outcome Scale Extended score <8 at 6 months. Median day-of-injury BDNF concentrations (ng/mL) were lower among TBI cases (JHH TBI, 17.5 and SFGH TBI, 13.8) than in JHH controls (60.3; p = 0.0001). Among TRACK-TBI Pilot subjects, median BDNF concentrations (ng/mL) were higher in mild (8.3) than in moderate (4.3) or severe TBI (4.0; p = 0.004. In the TRACK-TBI cohort, the 75 (71.4%) subjects with very low BDNF values (i.e., <the 1st percentile for non-TBI controls, <14.2 ng/mL) had higher odds of incomplete recovery than those who did not have very low values (odds ratio, 4.0; 95% confidence interval [CI]: 1.5-11.0). The area under the receiver operator curve for discriminating complete and incomplete recovery was 0.65 (95% CI: 0.52-0.78) for BDNF, 0.61 (95% CI: 0.49-0.73) for GFAP, and 0.55 (95% CI: 0.43-0.66) for UCH-L1. The addition of GFAP/UCH-L1 to BDNF did not improve outcome prediction significantly. Day-of-injury serum BDNF is associated with TBI diagnosis and also provides 6-month prognostic information regarding recovery from TBI. Thus, day-of-injury BDNF values may aid in TBI risk stratification.
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Affiliation(s)
- Frederick K Korley
- 1 Department of Emergency Medicine, Johns Hopkins University School of Medicine , Baltimore, Maryland
| | - Ramon Diaz-Arrastia
- 2 Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences , Bethesda, Maryland
| | - Alan H B Wu
- 3 Clinical Chemistry Laboratory, San Francisco General Hospital , San Francisco, California
| | - John K Yue
- 4 Department of Neurological Surgery, University of California San Francisco , San Francisco, California
| | - Geoffrey T Manley
- 4 Department of Neurological Surgery, University of California San Francisco , San Francisco, California
| | - Haris I Sair
- 5 Department of Radiology, Johns Hopkins University School of Medicine , Baltimore, Maryland
| | - Jennifer Van Eyk
- 6 Department of Medicine, the Advanced Clinical Biosystems Research Institute , Cedars Sinai Medical Center, Los Angeles, California
| | - Allen D Everett
- 7 Department of Pediatrics, Johns Hopkins University School of Medicine , Baltimore, Maryland
| | | | - David O Okonkwo
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,9 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - Alex B Valadka
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,10 Seton Brain and Spine Institute , Austin, Texas
| | - Wayne A Gordon
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,11 Department of Rehabilitation Medicine, Mount Sinai School of Medicine , New York, New York
| | - Andrew I R Maas
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,12 Department of Neurosurgery, Antwerp University Hospital , Edegem, Belgium
| | - Pratik Mukherjee
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,13 Department of Radiology and Biomedical Imaging University of California San Francisco , San Francisco, California
| | - Esther L Yuh
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,13 Department of Radiology and Biomedical Imaging University of California San Francisco , San Francisco, California
| | - Hester F Lingsma
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,14 Department of Public Health Center for Medical Decision Making Erasmas Medical Center , Rotterdam, the Netherlands
| | - Ava M Puccio
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,9 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - David M Schnyer
- 8 The Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Investigators .,15 Department of Psychology, University of Texas , Austin, Texas
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Cage TA, Yuh EL, Hou SW, Birk H, Simon NG, Noss R, Rao A, Chin CT, Kliot M. Visualization of nerve fibers and their relationship to peripheral nerve tumors by diffusion tensor imaging. Neurosurg Focus 2015; 39:E16. [DOI: 10.3171/2015.6.focus15235] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT
The majority of growing and/or symptomatic peripheral nerve tumors are schwannomas and neurofibromas. They are almost always benign and can usually be resected while minimizing motor and sensory deficits if approached with the proper expertise and techniques. Intraoperative electrophysiological stimulation and recording techniques allow the surgeon to map the surface of the tumor in an effort to identify and thus avoid damaging functioning nerve fibers. Recently, MR diffusion tensor imaging (DTI) techniques have permitted the visualization of axons, because of their anisotropic properties, in peripheral nerves. The object of this study was to compare the distribution of nerve fibers as revealed by direct electrical stimulation with that seen on preoperative MR DTI.
METHODS
The authors conducted a retrospective chart review of patients with a peripheral nerve or nerve root tumor between March 2012 and January 2014. Diffusion tensor imaging and intraoperative data had been prospectively collected for patients with peripheral nerve tumors that were resected. Preoperative identification of the nerve fiber location in relation to the nerve tumor surface as seen on DTI studies was compared with the nerve fiber’s intraoperative localization using electrophysiological stimulation and recordings.
RESULTS
In 23 patients eligible for study there was good correlation between nerve fiber location on DTI and its anatomical location seen intraoperatively. Diffusion tensor imaging demonstrated the relationship of nerve fibers relative to the tumor with 95.7% sensitivity, 66.7% specificity, 75% positive predictive value, and 93.8% negative predictive value.
CONCLUSIONS
Preoperative DTI techniques are useful in helping the peripheral nerve surgeon to both determine the risks involved in resecting a nerve tumor and plan the safest surgical approach.
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Affiliation(s)
| | | | | | - Harjus Birk
- 3School of Medicine, University of California, San Francisco, California
| | - Neil G. Simon
- 4Prince of Wales Clinical School, University of New South Wales Australia, Sydney, Australia; and
| | - Roger Noss
- Departments of 1Neurological Surgery and
| | | | | | - Michel Kliot
- 5Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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McMahon PJ, Panczykowski DM, Yue JK, Puccio AM, Inoue T, Sorani MD, Lingsma HF, Maas AIR, Valadka AB, Yuh EL, Mukherjee P, Manley GT, Okonkwo DO. 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; 32:527-33. [PMID: 25264814 DOI: 10.1089/neu.2014.3635] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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).
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Affiliation(s)
- Paul J McMahon
- 1 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
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Talbott JF, Gean A, Yuh EL, Stiver SI. Reply: To PMID 24948502. AJNR Am J Neuroradiol 2014; 36:E25. [PMID: 25542880 DOI: 10.3174/ajnr.a4227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- J F Talbott
- Department of Radiology and Biomedical Imaging Brain and Spinal Injury Center San Francisco General Hospital San Francisco, California
| | - A Gean
- Department of Radiology and Biomedical Imaging Brain and Spinal Injury Center San Francisco General Hospital San Francisco, California Department of Neurological Surgery University of California, San Francisco San Francisco, California
| | - E L Yuh
- Department of Radiology and Biomedical Imaging Brain and Spinal Injury Center San Francisco General Hospital San Francisco, California
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Yuh EL, Jain Palrecha S, Lagemann GM, Kliot M, Weinstein PR, Barbaro NM, Chin CT. Diffusivity measurements differentiate benign from malignant lesions in patients with peripheral neuropathy or plexopathy. AJNR Am J Neuroradiol 2014; 36:202-9. [PMID: 25300985 DOI: 10.3174/ajnr.a4080] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Peripheral nerve disorders caused by benign and malignant primary nerve sheath tumors, infiltration or compression of nerves by metastatic disease, and postradiation neuritis demonstrate overlapping features on conventional MR imaging but require vastly different therapeutic approaches. We characterize and compare diffusivities of peripheral nerve lesions in patients undergoing MR neurography for peripheral neuropathy or brachial or lumbosacral plexopathy. MATERIALS AND METHODS Twenty-three patients, referred for MR neurography at our institution between 2003 and 2009 for a peripheral mononeuropathy or brachial or lumbosacral plexopathy and whose examinations included DWI, received a definitive diagnosis, based on biopsy results or clinical and imaging follow-up, for a masslike or infiltrative peripheral nerve or plexus lesion suspicious for tumor. Mean ADC values were determined within each lesion and compared across 3 groups (benign lesions, malignant lesions, and postradiation changes). RESULTS Both ANOVA and Kruskal-Wallis tests demonstrated a statistically significant difference in ADC values across the 3 groups (P = .000023, P = .00056, respectively). Post hoc pair-wise comparisons showed that the ADC within malignant tumors differed significantly from that within benign tumors and postradiation changes. ADC within benign tumors and postradiation changes did not differ significantly from each other. CONCLUSIONS DWI may be highly effective for the differentiation of benign from malignant peripheral nerve masslike or infiltrative lesions.
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Affiliation(s)
- E L Yuh
- From the Departments of Radiology and Biomedical Imaging (E.L.Y., C.T.C.)
| | - S Jain Palrecha
- San Leandro Medical Center (S.J.P.), The Permanente Medical Group, San Leandro, California
| | - G M Lagemann
- Department of Radiology (G.M.L.), University of Pittsburgh, Pittsburgh, Pennsylvania
| | - M Kliot
- Department of Neurosurgery (M.K.), Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - P R Weinstein
- Neurological Surgery (P.R.W.), University of California at San Francisco, San Francisco, California
| | - N M Barbaro
- Goodman Campbell Brain and Spine (N.M.B.) Department of Neurological Surgery (N.M.B.), Indiana University, Indianapolis, Indiana
| | - C T Chin
- From the Departments of Radiology and Biomedical Imaging (E.L.Y., C.T.C.)
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