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Cai LT, Moon J, Camacho PB, Anderson AT, Chwa WJ, Sutton BP, Markowitz AJ, Palacios EM, Rodriguez A, Manley GT, Shankar S, Bremer PT, Mukherjee P, Madduri RK. MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline. Neuroinformatics 2024; 22:177-191. [PMID: 38446357 DOI: 10.1007/s12021-024-09650-0] [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] [Accepted: 01/29/2024] [Indexed: 03/07/2024]
Abstract
Large-scale diffusion MRI tractography remains a significant challenge. Users must orchestrate a complex sequence of instructions that requires many software packages with complex dependencies and high computational costs. We developed MaPPeRTrac, an edge-centric tractography pipeline that simplifies and accelerates this process in a wide range of high-performance computing (HPC) environments. It fully automates either probabilistic or deterministic tractography, starting from a subject's magnetic resonance imaging (MRI) data, including structural and diffusion MRI images, to the edge density image (EDI) of their structural connectomes. Dependencies are containerized with Singularity (now called Apptainer) and decoupled from code to enable rapid prototyping and modification. Data derivatives are organized with the Brain Imaging Data Structure (BIDS) to ensure that they are findable, accessible, interoperable, and reusable following FAIR principles. The pipeline takes full advantage of HPC resources using the Parsl parallel programming framework, resulting in the creation of connectome datasets of unprecedented size. MaPPeRTrac is publicly available and tested on commercial and scientific hardware, so it can accelerate brain connectome research for a broader user community. MaPPeRTrac is available at: https://github.com/LLNL/mappertrac .
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Affiliation(s)
- Lanya T Cai
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St., San Francisco, CA, 94107, USA
| | - Joseph Moon
- Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, CA, 94550, USA
| | - Paul B Camacho
- Beckman Institute, University of Illinois at Urbana-Champaign, 405 N Mathews Ave, Urbana, IL, 61801, USA
| | - Aaron T Anderson
- Beckman Institute, University of Illinois at Urbana-Champaign, 405 N Mathews Ave, Urbana, IL, 61801, USA
| | - Won Jong Chwa
- Department of Radiology, Washington University in St. Louis, 510 S Kingshighway Blvd, St. Louis, MO, 63110, USA
| | - Bradley P Sutton
- Bioengineering Department, University of Illinois at Urbana-Champaign, 506 S Mathews Ave, Urbana, IL, 61801, USA
| | - Amy J Markowitz
- Department of Neurosurgery, University of California, San Francisco, 400 Parnassus Ave, San Francisco, CA, 94143, USA
| | - Eva M Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St., San Francisco, CA, 94107, USA
| | - Alexis Rodriguez
- Argonne National Laboratory, 9700 S Cass Ave, Lemont, IL, 60439, USA
| | - Geoffrey T Manley
- Department of Neurosurgery, University of California, San Francisco, 400 Parnassus Ave, San Francisco, CA, 94143, USA
| | - Shivsundaram Shankar
- Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, CA, 94550, USA
| | - Peer-Timo Bremer
- Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, CA, 94550, USA
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St., San Francisco, CA, 94107, USA.
| | - Ravi K Madduri
- Argonne National Laboratory, 9700 S Cass Ave, Lemont, IL, 60439, USA.
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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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Roberts CJ, Barber J, Temkin NR, Dong A, Robertson CS, Valadka AB, Yue JK, Markowitz AJ, Manley GT, Nelson LD. Clinical Outcomes After Traumatic Brain Injury and Exposure to Extracranial Surgery: A TRACK-TBI Study. JAMA Surg 2024; 159:248-259. [PMID: 38091011 PMCID: PMC10719833 DOI: 10.1001/jamasurg.2023.6374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 09/04/2023] [Indexed: 12/17/2023]
Abstract
Importance Traumatic brain injury (TBI) is associated with persistent functional and cognitive deficits, which may be susceptible to secondary insults. The implications of exposure to surgery and anesthesia after TBI warrant investigation, given that surgery has been associated with neurocognitive disorders. Objective To examine whether exposure to extracranial (EC) surgery and anesthesia is related to worse functional and cognitive outcomes after TBI. Design, Setting, and Participants This study was a retrospective, secondary analysis of data from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study, a prospective cohort study that assessed longitudinal outcomes of participants enrolled at 18 level I US trauma centers between February 1, 2014, and August 31, 2018. Participants were 17 years or older, presented within 24 hours of trauma, were admitted to an inpatient unit from the emergency department, had known Glasgow Coma Scale (GCS) and head computed tomography (CT) status, and did not undergo cranial surgery. This analysis was conducted between January 2, 2020, and August 8, 2023. Exposure Participants who underwent EC surgery during the index admission were compared with participants with no surgery in groups with a peripheral orthopedic injury or a TBI and were classified as having uncomplicated mild TBI (GCS score of 13-15 and negative CT results [CT- mTBI]), complicated mild TBI (GCS score of 13-15 and positive CT results [CT+ mTBI]), or moderate to severe TBI (GCS score of 3-12 [m/sTBI]). Main Outcomes and Measures The primary outcomes were functional limitations quantified by the Glasgow Outcome Scale-Extended for all injuries (GOSE-ALL) and brain injury (GOSE-TBI) and neurocognitive outcomes at 2 weeks and 6 months after injury. Results A total of 1835 participants (mean [SD] age, 42.2 [17.8] years; 1279 [70%] male; 299 Black, 1412 White, and 96 other) were analyzed, including 1349 nonsurgical participants and 486 participants undergoing EC surgery. The participants undergoing EC surgery across all TBI severities had significantly worse GOSE-ALL scores at 2 weeks and 6 months compared with their nonsurgical counterparts. At 6 months after injury, m/sTBI and CT+ mTBI participants who underwent EC surgery had significantly worse GOSE-TBI scores (B = -1.11 [95% CI, -1.53 to -0.68] in participants with m/sTBI and -0.39 [95% CI, -0.77 to -0.01] in participants with CT+ mTBI) and performed worse on the Trail Making Test Part B (B = 30.1 [95% CI, 11.9-48.2] in participants with m/sTBI and 26.3 [95% CI, 11.3-41.2] in participants with CT+ mTBI). Conclusions and Relevance This study found that exposure to EC surgery and anesthesia was associated with adverse functional outcomes and impaired executive function after TBI. This unfavorable association warrants further investigation of the potential mechanisms and clinical implications that could inform decisions regarding the timing of surgical interventions in patients after TBI.
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Affiliation(s)
- Christopher J. Roberts
- Department of Anesthesiology, Medical College of Wisconsin, Milwaukee
- Department of Anesthesiology, Zablocki Veterans Affairs Medical Center, Milwaukee, Wisconsin
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Nancy R. Temkin
- Department of Neurological Surgery, University of Washington, Seattle
- Department of Biostatistics, University of Washington, Seattle
| | - Athena Dong
- Department of Anesthesiology, Medical College of Wisconsin, Milwaukee
- Department of Anesthesiology, Zablocki Veterans Affairs Medical Center, Milwaukee, Wisconsin
| | | | - Alex B. Valadka
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas
| | - John K. Yue
- Department of Neurological Surgery, University of California, San Francisco
| | | | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, San Francisco, California
| | - Lindsay D. Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
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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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Snider SB, Temkin NR, Barber J, Edlow BL, Giacino JT, Hammond FM, Izzy S, Kowalski RG, Markowitz AJ, Rovito CA, Shih SL, Zafonte RD, Manley GT, Bodien YG. Predicting Functional Dependency in Patients with Disorders of Consciousness: A TBI-Model Systems and TRACK-TBI Study. Ann Neurol 2023; 94:1008-1023. [PMID: 37470289 PMCID: PMC10799195 DOI: 10.1002/ana.26741] [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: 03/28/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/21/2023]
Abstract
OBJECTIVE It is not currently possible to predict long-term functional dependency in patients with disorders of consciousness (DoC) after traumatic brain injury (TBI). Our objective was to fit and externally validate a prediction model for 1-year dependency in patients with DoC ≥ 2 weeks after TBI. METHODS We included adults with TBI enrolled in TBI Model Systems (TBI-MS) or Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) studies who were not following commands at rehabilitation admission or 2 weeks post-injury, respectively. We fit a logistic regression model in TBI-MS and validated it in TRACK-TBI. The primary outcome was death or dependency at 1 year post-injury, defined using the Disability Rating Scale. RESULTS In the TBI-MS Discovery Sample, 1,960 participants (mean age 40 [18] years, 76% male, 68% white) met inclusion criteria, and 406 (27%) were dependent 1 year post-injury. In a TBI-MS held out cohort, the dependency prediction model's area under the receiver operating characteristic curve was 0.79 (95% CI 0.74-0.85), positive predictive value was 53% and negative predictive value was 86%. In the TRACK-TBI external validation (n = 124, age 40 [16] years, 77% male, 81% white), the area under the receiver operating characteristic curve was 0.66 (0.53, 0.79), equivalent to the standard IMPACTcore + CT score (p = 0.8). INTERPRETATION We developed a 1-year dependency prediction model using the largest existing cohort of patients with DoC after TBI. The sensitivity and negative predictive values were greater than specificity and positive predictive values. Accuracy was diminished in an external sample, but equivalent to the IMPACT model. Further research is needed to improve dependency prediction in patients with DoC after TBI. ANN NEUROL 2023;94:1008-1023.
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Affiliation(s)
- Samuel B. Snider
- Division of Neurocritical Care, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Nancy R. Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Brian L. Edlow
- Harvard Medical School, Boston, MA, USA
- Center for Neurotechnology and Neurorecovery and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Joseph T. Giacino
- Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA USA
| | - Flora M. Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Saef Izzy
- Division of Neurocritical Care, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Robert G. Kowalski
- Departments of Neurosurgery and Neurology, University of Colorado School of Medicine, Aurora CO, USA
| | | | - Craig A. Rovito
- Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA USA
| | - Shirley L. Shih
- Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA USA
| | - Ross D. Zafonte
- Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, UCSF, San Francisco, CA USA
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA
| | - Yelena G. Bodien
- Harvard Medical School, Boston, MA, USA
- Center for Neurotechnology and Neurorecovery and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA USA
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7
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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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8
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Yaseen A, Robertson C, Cruz Navarro J, Chen J, Heckler B, DeSantis SM, Temkin N, Barber J, Foreman B, Diaz-Arrastia R, Chesnut R, Manley GT, Wright DW, Vassar M, Ferguson AR, Markowitz AJ, Yamal JM. Integrating, Harmonizing, and Curating Studies With High-Frequency and Hourly Physiological Data: Proof of Concept from Seven Traumatic Brain Injury Data Sets. J Neurotrauma 2023; 40:2362-2375. [PMID: 37341031 DOI: 10.1089/neu.2023.0023] [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: 06/22/2023] Open
Abstract
Research in severe traumatic brain injury (TBI) has historically been limited by studies with relatively small sample sizes that result in low power to detect small, yet clinically meaningful outcomes. Data sharing and integration from existing sources hold promise to yield larger more robust sample sizes that improve the potential signal and generalizability of important research questions. However, curation and harmonization of data of different types and of disparate provenance is challenging. We report our approach and experience integrating multiple TBI data sets containing collected physiological data, including both expected and unexpected challenges encountered in the integration process. Our harmonized data set included data on 1536 patients from the Citicoline Brain Injury Treatment Trial (COBRIT), Effect of erythropoietin and transfusion threshold on neurological recovery after traumatic brain injury: a randomized clinical trial (EPO Severe TBI), BEST-TRIP, Progesterone for the Treatment of Traumatic Brain Injury III Clinical Trial (ProTECT III), Transforming Research and Clinical Knowledge in Traumatic brain Injury (TRACK-TBI), Brain Oxygen Optimization in Severe Traumatic Brain Injury Phase-II (BOOST-2), and Ben Taub General Hospital (BTGH) Research Database studies. We conclude with process recommendations for data acquisition for future prospective studies to aid integration of these data with existing studies. These recommendations include using common data elements whenever possible, a standardized recording system for labeling and timing of high-frequency physiological data, and secondary use of studies in systems such as Federal Interagency Traumatic Brain Injury Research Informatics System (FITBIR), to engage investigators who collected the original data.
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Affiliation(s)
- Ashraf Yaseen
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA
| | - Claudia Robertson
- Department of Neurosurgery, and University of Washington, Seattle, Washington, USA
| | - Jovany Cruz Navarro
- Department of Anesthesiology Baylor College of Medicine, University of Washington, Seattle, Washington, USA
| | - Jingxiao Chen
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA
| | - Brian Heckler
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA
| | - Stacia M DeSantis
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA
| | - Nancy Temkin
- Department of Department of Neurological Surgery and Biostatistics, University of Washington, Seattle, Washington, USA
| | - Jason Barber
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Randall Chesnut
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, Emory University School of Medicine, Atlanta, Georgia, USA
| | - David W Wright
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Mary Vassar
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Adam R Ferguson
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Amy J Markowitz
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jose-Miguel Yamal
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA
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9
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Wickwire EM, Albrecht JS, Capaldi VF, Jain S, Gardner RC, Smith MT, Williams SG, Collen J, Schnyer DM, Giacino JT, Nelson LD, Mukherjee P, Sun X, Werner JK, Mosti CB, Markowitz AJ, Manley GT, Krystal AD. Association Between Insomnia and Mental Health and Neurocognitive Outcomes Following Traumatic Brain Injury. J Neurotrauma 2023. [PMID: 37463057 DOI: 10.1089/neu.2023.0009] [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: 07/20/2023] Open
Abstract
We previously described five trajectories of insomnia (each defined by a distinct pattern of insomnia severity over 12 months following traumatic brain injury [TBI]). Our objective in the present study was to estimate the association between insomnia trajectory status and trajectories of mental health and neurocognitive outcomes during the 12 months after TBI. In this study, participants included N = 2022 adults from the Federal Inter-agency Traumatic Brain Injury Repository database and Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. The following outcome measures were assessed serially at 2 weeks, and 3, 6, and 12 months post-injury: Insomnia Severity Index, Patient Health Questionnaire, Post-Traumatic Stress Disorder (PTSD) Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), Patient Reported Outcomes Measurement Information System-Pain, and Quality of Life After Brain Injury-Overall Scale. Neurocognitive performance was assessed at 2 weeks, and 6 and 12 months using the Wechsler Adult Intelligence Scales Processing Speed Index and the Trails Making Test Parts A and B. Results indicated that greater insomnia severity was associated with greater abnormality in mental health, quality of life, and neuropsychological testing outcomes. The pattern of insomnia over time tracked the temporal pattern of all these outcomes for all but a very small number of participants. Notably, severe insomnia at 3 or 6 months post-TBI was a risk factor for poor recovery at 12 months post-injury. In conclusion, in this well-characterized sample of individuals with TBI, insomnia severity generally tracked severity of depression, pain, PTSD, quality of life, and neurocognitive outcomes over 12 months post-injury. More intensive sleep assessment is needed to elucidate the nature of these relationships and to help inform best strategies for intervention.
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Affiliation(s)
- Emerson M Wickwire
- Sleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer S Albrecht
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Vincent F Capaldi
- Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, California, USA
| | - Raquel C Gardner
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Michael T Smith
- Department of Psychiatry, Division of Behavioral Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Scott G Williams
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Department of Medicine, Fort Belvoir Community Hospital, Fort Belvoir, Virginia, USA
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Jacob Collen
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Sleep Disorders Center, Department of Medicine, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - David M Schnyer
- Department of Psychology, University of Texas Austin, Austin, Texas, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - Lindsay D Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Pratik Mukherjee
- Department of Radiology, University of California, San Francisco, San Francisco, California, USA
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, California, USA
| | - J Kent Werner
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Department of Neurology, Division of Behavioral Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Caterina B Mosti
- Department of Psychiatry, University of California, San Francisco, San Francisco, California, USA
| | - Amy J Markowitz
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
| | - Andrew D Krystal
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
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10
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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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11
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Kelly-Hedrick M, Liu SY, Temkin N, Barber J, Komisarow J, Manley G, Ohnuma T, Colton K, Treggiari MM, Monson EE, Vavilala MS, Grandhi R, Laskowitz DT, Mathew JP, Hernandez A, James ML, Raghunathan K, Goldstein B, Markowitz AJ, Krishnamoorthy V. Association of Early Beta-Blocker Exposure and Functional Outcomes in Critically Ill Patients With Moderate to Severe Traumatic Brain Injury: A Transforming Clinical Research and Knowledge in Traumatic Brain Injury Study. Crit Care Explor 2023; 5:e0958. [PMID: 37693305 PMCID: PMC10484371 DOI: 10.1097/cce.0000000000000958] [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] [Indexed: 09/12/2023] Open
Abstract
OBJECTIVES We aimed to 1) describe patterns of beta-blocker utilization among critically ill patients following moderate-severe traumatic brain injury (TBI) and 2) examine the association of early beta-blocker exposure with functional and clinical outcomes following injury. DESIGN Retrospective cohort study. SETTING ICUs at 18 level I, U.S. trauma centers in the Transforming Clinical Research and Knowledge in TBI (TRACK-TBI) study. PATIENTS Greater than or equal to 17 years enrolled in the TRACK-TBI study with moderate-severe TBI (Glasgow Coma Scale of <13) were admitted to the ICU after a blunt TBI. INTERVENTIONS None. MEASUREMENTS Primary exposure was a beta blocker during the first 7 days in the ICU, with a primary outcome of 6-month Glasgow Outcome Scale-Extended (GOSE). Secondary outcomes included: length of hospital stay, in-hospital mortality, 6-month and 12-month mortality, 12-month GOSE score, and 6-month and 12-month measures of disability, well-being, quality of life, and life satisfaction. MAIN RESULTS Of the 450 eligible participants, 57 (13%) received early beta blockers (BB+ group). The BB+ group was on average older, more likely to be on a preinjury beta blocker, and more likely to have a history of hypertension. In the BB+ group, 34 participants (60%) received metoprolol only, 19 participants (33%) received propranolol only, 3 participants (5%) received both, and 1 participant (2%) received atenolol only. In multivariable regression, there was no difference in the odds of a higher GOSE score at 6 months between the BB+ group and BB- group (odds ratio = 0.86; 95% CI, 0.48-1.53). There was no association between BB exposure and secondary outcomes. CONCLUSIONS About one-sixth of subjects in our study received early beta blockers, and within this group, dose, and timing of beta-blocker administration varied substantially. No significant differences in GOSE score at 6 months were demonstrated, although our ability to draw conclusions is limited by overall low total doses administered compared with prior studies.
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Affiliation(s)
- Margot Kelly-Hedrick
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC
- Duke University School of Medicine, Duke University, Durham, NC
| | - Sunny Yang Liu
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC
- Duke University School of Medicine, Duke University, Durham, NC
| | - Nancy Temkin
- Departments of Biostatistics, University of Washington, Seattle, WA
- Departments of Neurosurgery, University of Washington, Seattle, WA
| | - Jason Barber
- Departments of Neurosurgery, University of Washington, Seattle, WA
| | | | - Geoffrey Manley
- Departments of Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
| | - Tetsu Ohnuma
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC
- Departments of Anesthesiology, Duke University, Durham, NC
| | | | - Miriam M Treggiari
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC
- Departments of Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Departments of Population Health Sciences, Duke University, Durham, NC
| | - Eric E Monson
- Libraries Center for Data and Visualization Sciences, Duke University, Durham, NC
| | - Monica S Vavilala
- Departments of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA
| | - Ramesh Grandhi
- Department of Neurosurgery, University of Utah, Salt Lake City, UT
| | - Daniel T Laskowitz
- Departments of Neurosurgery, Duke University, Durham, NC
- Departments of Anesthesiology, Duke University, Durham, NC
- Departments of Neurology, Duke University, Durham, NC
| | | | | | - Michael L James
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC
- Departments of Anesthesiology, Duke University, Durham, NC
- Departments of Neurology, Duke University, Durham, NC
| | - Karthik Raghunathan
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC
- Departments of Anesthesiology, Duke University, Durham, NC
- Departments of Population Health Sciences, Duke University, Durham, NC
| | - Ben Goldstein
- Departments of Biostatistics and Bioinformatics, Duke University, Durham, NC
| | - Amy J Markowitz
- Departments of Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
| | - Vijay Krishnamoorthy
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC
- Departments of Anesthesiology, Duke University, Durham, NC
- Departments of Population Health Sciences, Duke University, Durham, NC
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Toro C, Jain S, Sun S, Temkin N, Barber J, Manley G, Komisarow JM, Ohnuma T, Foreman B, Korley F, James ML, Laskowitz D, Vavilala MS, Hernandez A, Mathew JP, Markowitz AJ, Krishnamoorthy V. Association of Brain Injury Biomarkers and Circulatory Shock Following Moderate-Severe Traumatic Brain Injury: A TRACK-TBI Study. J Neurosurg Anesthesiol 2023; 35:284-291. [PMID: 34967764 PMCID: PMC9243189 DOI: 10.1097/ana.0000000000000828] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/19/2021] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Early circulatory shock following traumatic brain injury (TBI) is a multifactorial process; however, the impact of brain injury biomarkers on the risk of shock has not been evaluated. We examined the association between neuronal injury biomarker levels and the development of circulatory shock following moderate-severe TBI. METHODS In this retrospective cohort study, we examined adults with moderate-severe TBI (Glasgow Coma Scale score <13) enrolled in the TRACK-TBI study, an 18-center prospective TBI cohort study. The exposures were day-1 levels of neuronal injury biomarkers (glial fibrillary acidic protein, ubiquitin C-terminal hydrolase-L1 [UCH-L1], S100 calcium-binding protein B [S100B], neuron-specific enolase), and of an inflammatory biomarker (high-sensitivity C-reactive protein). The primary outcome was the development of circulatory shock, defined as cardiovascular Sequential Organ Failure Assessment Score ≥2 within 72 hours of admission. Association between day-1 biomarker levels and the development of circulatory shock was assessed with regression analysis. RESULTS The study included 392 subjects, with a mean age of 40 years; 314 (80%) were male and 165 (42%) developed circulatory shock. Median (interquartile range) day-1 levels of UCH-L1 (994.8 [518.7 to 1988.2] pg/mL vs. 548.1 [280.2 to 1151.9] pg/mL; P <0.0001) and S100B (0.47 μg/mL [0.25 to 0.88] vs. 0.27 [0.16 to 0.46] μg/mL; P <0.0001) were elevated in those who developed early circulatory shock compared with those who did not. In multivariable regression, there were associations between levels of both UCH-L1 (odds ratio, 1.63 [95% confidence interval, 1.25-2.12]; P <0.0005) and S100B (odds ratio, 1.73 [95% confidence interval 1.27-2.36]; P <0.0005) with the development of circulatory shock. CONCLUSION Neuronal injury biomarkers may provide the improved mechanistic understanding and possibly early identification of patients at risk for early circulatory shock following moderate-severe TBI.
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Affiliation(s)
- Camilo Toro
- Duke University School of Medicine. Durham, NC
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego. San Diego, CA
| | - Shelly Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego. San Diego, CA
| | - Nancy Temkin
- Department of Biostatistics, Anesthesiology and Pain Medicine, University of Washington. Seattle, WA
- Department of Neurosurgery, Anesthesiology and Pain Medicine, University of Washington. Seattle, WA
| | - Jason Barber
- Department of Neurosurgery, Anesthesiology and Pain Medicine, University of Washington. Seattle, WA
| | - Geoffrey Manley
- Brain and Spinal Injury Center, University of California, San Francisco. San Francisco, CA
| | | | - Tetsu Ohnuma
- Department of Anesthesiology, Duke University. Durham, NC
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University. Durham, NC
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati. Cincinnati, OH
| | - Frederick Korley
- Department of Emergency Medicine, University of Michigan. Ann Arbor, MI
| | - Michael L. James
- Department of Anesthesiology, Duke University. Durham, NC
- Department of Neurology, Duke University. Durham, NC
| | - Daniel Laskowitz
- Department of Anesthesiology, Duke University. Durham, NC
- Department of Neurology, Duke University. Durham, NC
| | - Monica S. Vavilala
- Department of Anesthesiology and Pain Medicine, and Harborview Injury Prevention and Research Center, University of Washington, Seattle, WA
| | | | | | - Amy J. Markowitz
- Brain and Spinal Injury Center, University of California, San Francisco. San Francisco, CA
| | - Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University. Durham, NC
- Department of Population Health Sciences, Duke University. Durham, NC
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University. Durham, NC
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13
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Snider SB, Temkin NR, Barber J, Edlow BL, Giacino JT, Hammond FM, Izzy S, Kowalski RG, Markowitz AJ, Rovito CA, Shih SL, Zafonte RD, Manley GT, Bodien YG. Predicting Functional Dependency in Patients with Disorders of Consciousness: A TBI-Model Systems and TRACK-TBI Study. medRxiv 2023:2023.03.14.23287249. [PMID: 36993195 PMCID: PMC10055467 DOI: 10.1101/2023.03.14.23287249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Importance There are currently no models that predict long-term functional dependency in patients with disorders of consciousness (DoC) after traumatic brain injury (TBI). Objective Fit, test, and externally validate a prediction model for 1-year dependency in patients with DoC 2 or more weeks after TBI. Design Secondary analysis of patients enrolled in TBI Model Systems (TBI-MS, 1988-2020, Discovery Sample) or Transforming Research and Clinical Knowledge in TBI (TRACK-TBI, 2013-2018, Validation Sample) and followed 1-year post-injury. Setting Multi-center study at USA rehabilitation hospitals (TBI-MS) and acute care hospitals (TRACK-TBI). Participants Adults with TBI who were not following commands at rehabilitation admission (TBI-MS; days post-injury vary) or 2-weeks post-injury (TRACK-TBI). Exposures In the TBI-MS database (model fitting and testing), we screened demographic, radiological, clinical variables, and Disability Rating Scale (DRS) item scores for association with the primary outcome. Main Outcome The primary outcome was death or complete functional dependency at 1-year post-injury, defined using a DRS-based binary measure (DRS Depend ), indicating need for assistance with all activities and concomitant cognitive impairment. Results In the TBI-MS Discovery Sample, 1,960 subjects (mean age 40 [18] years, 76% male, 68% white) met inclusion criteria and 406 (27%) were dependent at 1-year post-injury. A dependency prediction model had an area under the receiver operating characteristic curve (AUROC) of 0.79 [0.74, 0.85], positive predictive value of 53%, and negative predictive value of 86% for dependency in a held-out TBI-MS Testing cohort. Within the TRACK-TBI external validation sample (N=124, age 40 [16], 77% male, 81% white), a model modified to remove variables not collected in TRACK-TBI, had an AUROC of 0.66 [0.53, 0.79], equivalent to the gold-standard IMPACT core+CT score (0.68; 95% AUROC difference CI: -0.2 to 0.2, p=0.8). Conclusions and Relevance We used the largest existing cohort of patients with DoC after TBI to develop, test and externally validate a prediction model of 1-year dependency. The model’s sensitivity and negative predictive value were greater than specificity and positive predictive value. Accuracy was diminished in an external sample, but equivalent to the best-available models. Further research is needed to improve dependency prediction in patients with DoC after TBI.
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Nelson LD, Temkin NR, Barber J, Brett BL, Okonkwo DO, McCrea MA, Giacino JT, Bodien YG, Robertson C, Corrigan JD, Diaz-Arrastia R, Markowitz AJ, Manley GT. Functional Recovery, Symptoms, and Quality of Life 1 to 5 Years After Traumatic Brain Injury. JAMA Netw Open 2023; 6:e233660. [PMID: 36939699 PMCID: PMC10028488 DOI: 10.1001/jamanetworkopen.2023.3660] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 01/21/2023] [Indexed: 03/21/2023] Open
Abstract
Importance Many level I trauma center patients experience clinical sequelae at 1 year following traumatic brain injury (TBI). Longer-term outcome data are needed to develop better monitoring and rehabilitation services. Objective To examine functional recovery, TBI-related symptoms, and quality of life from 1 to 5 years postinjury. Design, Setting, and Participants This cohort study enrolled trauma patients across 18 US level I trauma centers between 2014 and 2018. Eligible participants were enrolled within 24 hours of injury and followed up to 5 years postinjury. Data were analyzed January 2023. Exposures Mild TBI (mTBI), moderate-severe TBI (msTBI), or orthopedic traumatic controls (OTC). Main Outcomes and Measures Functional independence (Glasgow Outcome Scale-Extended [GOSE] score 5 or higher), complete functional recovery (GOSE score, 8), better (ie, lower) TBI-related symptom burden (Rivermead Post Concussion Symptoms Questionnaire score of 15 or lower), and better (ie, higher) health-related quality of life (Quality of Life After Brain Injury Scale-Overall Scale score 52 or higher); mortality was analyzed as a secondary outcome. Results A total 1196 patients were included in analysis (mean [SD] age, 40.8 [16.9] years; 781 [65%] male; 158 [13%] Black, 965 [81%] White). mTBI and OTC groups demonstrated stable, high rates of functional independence (98% to 100% across time). While odds of independence were lower among msTBI survivors, the majority were independent at 1 year (72%), and this proportion increased over time (80% at 5 years; group × year, P = .005; independence per year: odds ratio [OR] for msTBI, 1.28; 95% CI, 1.03-1.58; OR for mTBI, 0.81; 95% CI, 0.64-1.03). For other outcomes, group differences at 1 year remained stable over time (group × year, P ≥ .44). Odds of complete functional recovery remained lower for persons with mTBI vs OTC (OR, 0.39; 95% CI, 0.28-0.56) and lower for msTBI vs mTBI (OR, 0.34; 95% CI, 0.24-0.48). Odds of better TBI-related symptom burden and quality of life were similar for both TBI subgroups and lower than OTCs. Mortality between 1 and 5 years was higher for msTBI (5.5%) than mTBI (1.5%) and OTC (0.7%; P = .02). Conclusions and Relevance In this cohort study, patients with previous msTBI displayed increased independence over 5 years; msTBI was also associated with increased mortality. These findings, in combination with the persistently elevated rates of unfavorable outcomes in mTBI vs controls imply that more monitoring and rehabilitation are needed for TBI.
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Affiliation(s)
| | | | | | | | - David O. Okonkwo
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | - Joseph T. Giacino
- Massachusetts General Hospital and Harvard Medical School, Boston
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
| | - Yelena G. Bodien
- Massachusetts General Hospital and Harvard Medical School, Boston
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
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15
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Stein MB, Jain S, Parodi L, Choi KW, Maihofer AX, Nelson LD, Mukherjee P, Sun X, He F, Okonkwo DO, Giacino JT, Korley FK, Vassar MJ, Robertson CS, McCrea MA, Temkin N, Markowitz AJ, Diaz-Arrastia R, Rosand J, Manley GT, Duhaime AC, Ferguson AR, Gopinath S, Grandhi R, Madden C, Merchant R, Schnyer D, Taylor SR, Yue JK, Zafonte R. Polygenic risk for mental disorders as predictors of posttraumatic stress disorder after mild traumatic brain injury. Transl Psychiatry 2023; 13:24. [PMID: 36693822 PMCID: PMC9873804 DOI: 10.1038/s41398-023-02313-9] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/26/2023] Open
Abstract
Many patients with mild traumatic brain injury (mTBI) are at risk for mental health problems such as posttraumatic stress disorder (PTSD). The objective of this study was to determine whether the polygenic risk for PTSD (or for related mental health disorders or traits including major depressive disorder [MDD] and neuroticism [NEU]) was associated with an increased likelihood of PTSD in the aftermath of mTBI. We used data from individuals of European ancestry with mTBI enrolled in TRACK-TBI (n = 714), a prospective longitudinal study of level 1 trauma center patients. One hundred and sixteen mTBI patients (16.3%) had probable PTSD (PCL-5 score ≥33) at 6 months post-injury. We used summary statistics from recent GWAS studies of PTSD, MDD, and NEU to generate polygenic risk scores (PRS) for individuals in our sample. A multivariable model that included age, sex, pre-injury history of mental disorder, and cause of injury explained 7% of the variance in the PTSD outcome; the addition of the PTSD-PRS (and five ancestral principal components) significantly increased the variance explained to 11%. The adjusted odds of PTSD in the uppermost PTSD-PRS quintile was nearly four times higher (aOR = 3.71, 95% CI 1.80-7.65) than in the lowest PTSD-PRS quintile. There was no evidence of a statistically significant interaction between PTSD-PRS and prior history of mental disorder, indicating that PTSD-PRS had similar predictive utility among those with and without pre-injury psychiatric illness. When added to the model, neither MDD-PRS nor NEU-PRS were significantly associated with the PTSD outcome. These findings show that the risk for PTSD in the context of mTBI is, in part, genetically influenced. They also raise the possibility that an individual's PRS could be clinically actionable if used-possibly with other non-genetic predictors-to signal the need for enhanced follow-up and early intervention; this precision medicine approach needs to be prospectively studied.
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Affiliation(s)
- Murray B. Stein
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA ,grid.266100.30000 0001 2107 4242School of Public Health, University of California, San Diego, La Jolla, CA USA ,grid.410371.00000 0004 0419 2708VA San Diego Healthcare System, San Diego, CA USA
| | - Sonia Jain
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - Livia Parodi
- grid.32224.350000 0004 0386 9924Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.32224.350000 0004 0386 9924McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Karmel W. Choi
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Adam X. Maihofer
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA
| | - Lindsay D. Nelson
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Pratik Mukherjee
- grid.266102.10000 0001 2297 6811Department of Radiology & Biomedical Imaging, UCSF, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Bioengineering & Therapeutic Sciences, UCSF, San Francisco, CA USA
| | - Xiaoying Sun
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - Feng He
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - David O. Okonkwo
- grid.412689.00000 0001 0650 7433Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Joseph T. Giacino
- grid.38142.3c000000041936754XDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA USA ,grid.416228.b0000 0004 0451 8771Spaulding Rehabilitation Hospital, Charlestown, MA USA
| | - Frederick K. Korley
- grid.214458.e0000000086837370Department of Emergency Medicine, University of Michigan, Ann Arbor, MI USA
| | - Mary J. Vassar
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Claudia S. Robertson
- grid.39382.330000 0001 2160 926XDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX USA
| | - Michael A. McCrea
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Nancy Temkin
- grid.34477.330000000122986657Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, WA USA
| | - Amy J. Markowitz
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA
| | - Ramon Diaz-Arrastia
- grid.25879.310000 0004 1936 8972Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
| | - Jonathan Rosand
- grid.32224.350000 0004 0386 9924Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.32224.350000 0004 0386 9924McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Geoffrey T. Manley
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
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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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Kulbe JR, Jain S, Nelson LD, Korley FK, Mukherjee P, Sun X, Okonkwo DO, Giacino JT, Vassar MJ, Robertson CS, McCrea MA, Wang KKW, Temkin N, Mac Donald CL, Taylor SR, Ferguson AR, Markowitz AJ, Diaz-Arrastia R, Manley GT, Stein MB. Association of day-of-injury plasma glial fibrillary acidic protein concentration and six-month posttraumatic stress disorder in patients with mild traumatic brain injury. Neuropsychopharmacology 2022; 47:2300-2308. [PMID: 35717463 PMCID: PMC9630517 DOI: 10.1038/s41386-022-01359-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/16/2022] [Accepted: 05/31/2022] [Indexed: 11/10/2022]
Abstract
Several proteins have proven useful as blood-based biomarkers to assist in evaluation and management of traumatic brain injury (TBI). The objective of this study was to determine whether two day-of-injury blood-based biomarkers are predictive of posttraumatic stress disorder (PTSD). We used data from 1143 individuals with mild TBI (mTBI; defined as admission Glasgow Coma Scale [GCS] score 13-15) enrolled in TRACK-TBI, a prospective longitudinal study of level 1 trauma center patients. Plasma glial fibrillary acidic protein (GFAP) and serum high sensitivity C-reactive protein (hsCRP) were measured from blood collected within 24 h of injury. Two hundred and twenty-seven (19.9% of) patients had probable PTSD (PCL-5 score ≥ 33) at 6 months post-injury. GFAP levels were positively associated (Spearman's rho = 0.35, p < 0.001) with duration of posttraumatic amnesia (PTA). There was an inverse association between PTSD and (log)GFAP (adjusted OR = 0.85, 95% CI 0.77-0.95 per log unit increase) levels, but no significant association with (log)hsCRP (adjusted OR = 1.11, 95% CI 0.98-1.25 per log unit increase) levels. Elevated day-of-injury plasma GFAP, a biomarker of glial reactivity, is associated with reduced risk of PTSD after mTBI. This finding merits replication and additional studies to determine a possible neurocognitive basis for this relationship.
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Affiliation(s)
- Jacqueline R. Kulbe
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA
| | - Sonia Jain
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - Lindsay D. Nelson
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Frederick K. Korley
- grid.214458.e0000000086837370Department of Emergency Medicine, University of Michigan, Ann Arbor, MI USA
| | - Pratik Mukherjee
- grid.266102.10000 0001 2297 6811Department of Radiology & Biomedical Imaging, UCSF, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Bioengineering & Therapeutic Sciences, UCSF, San Francisco, CA USA
| | - Xiaoying Sun
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - David O. Okonkwo
- grid.412689.00000 0001 0650 7433Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Joseph T. Giacino
- grid.38142.3c000000041936754XDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA USA ,grid.416228.b0000 0004 0451 8771Spaulding Rehabilitation Hospital, Charlestown, MA USA
| | - Mary J. Vassar
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Claudia S. Robertson
- grid.39382.330000 0001 2160 926XDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX USA
| | - Michael A. McCrea
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Kevin K. W. Wang
- grid.15276.370000 0004 1936 8091Department of Emergency Medicine, University of Florida, Gainesville, FL USA
| | - Nancy Temkin
- grid.34477.330000000122986657Department of Neurological Surgery, University of Washington, Seattle, WA USA
| | - Christine L. Mac Donald
- grid.34477.330000000122986657Department of Neurological Surgery, University of Washington, Seattle, WA USA
| | - Sabrina R. Taylor
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Adam R. Ferguson
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA
| | - Amy J. Markowitz
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA
| | - Ramon Diaz-Arrastia
- grid.25879.310000 0004 1936 8972Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
| | - Geoffrey T. Manley
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Murray B. Stein
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA ,grid.266100.30000 0001 2107 4242School of Public Health, University of California, San Diego, La Jolla, CA USA ,grid.410371.00000 0004 0419 2708VA San Diego Healthcare System, San Diego, CA USA
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18
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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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19
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Toro C, Hatfield J, Temkin N, Barber J, Manley G, Ohnuma T, Komisarow J, Foreman B, Korley FK, Vavilala MS, Laskowitz DT, Mathew JP, Hernandez A, Sampson J, James ML, Raghunathan K, Goldstein BA, Markowitz AJ, Krishnamoorthy V. Risk Factors and Neurological Outcomes Associated With Circulatory Shock After Moderate-Severe Traumatic Brain Injury: A TRACK-TBI Study. Neurosurgery 2022; 91:427-436. [PMID: 35593705 PMCID: PMC10553078 DOI: 10.1227/neu.0000000000002042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 01/05/2022] [Accepted: 04/03/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Extracranial multisystem organ failure is a common sequela of severe traumatic brain injury (TBI). Risk factors for developing circulatory shock and long-term functional outcomes of this patient subset are poorly understood. OBJECTIVE To identify emergency department predictors of circulatory shock after moderate-severe TBI and examine long-term functional outcomes in patients with moderate-severe TBI who developed circulatory shock. METHODS We conducted a retrospective cohort study using the Transforming Clinical Research and Knowledge in TBI database for adult patients with moderate-severe TBI, defined as a Glasgow Coma Scale (GCS) score of <13 and stratified by the development of circulatory shock within 72 hours of hospital admission (Sequential Organ Failure Assessment score ≥2). Demographic and clinical data were assessed with descriptive statistics. A forward selection regression model examined risk factors for the development of circulatory shock. Functional outcomes were examined using multivariable regression models. RESULTS Of our moderate-severe TBI population (n = 407), 168 (41.2%) developed circulatory shock. Our predictive model suggested that race, computed tomography Rotterdam scores <3, GCS in the emergency department, and development of hypotension in the emergency department were associated with developing circulatory shock. Those who developed shock had less favorable 6-month functional outcomes measured by the 6-month GCS-Extended (odds ratio 0.36, P = .002) and 6-month Disability Rating Scale score (Diff. in means 3.86, P = .002) and a longer length of hospital stay (Diff. in means 11.0 days, P < .001). CONCLUSION We report potential risk factors for circulatory shock after moderate-severe TBI. Our study suggests that developing circulatory shock after moderate-severe TBI is associated with poor long-term functional outcomes.
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Affiliation(s)
- Camilo Toro
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
- Duke University School of Medicine, Durham, North Carolina, USA
| | - Jordan Hatfield
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
- Duke University School of Medicine, Durham, North Carolina, USA
| | - Nancy Temkin
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Geoffrey Manley
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
| | - Tetsu Ohnuma
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
| | - Jordan Komisarow
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Frederick K. Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Monica S. Vavilala
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA
| | - Daniel T. Laskowitz
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
- Department of Neurology, Duke University, Durham, North Carolina, USA
| | - Joseph P. Mathew
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
| | - Adrian Hernandez
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - John Sampson
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Michael L. James
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Neurology, Duke University, Durham, North Carolina, USA
| | - Karthik Raghunathan
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
- Duke University School of Medicine, Durham, North Carolina, USA
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
| | - Benjamin A. Goldstein
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
| | - Amy J. Markowitz
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
| | - Vijay Krishnamoorthy
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
- Duke University School of Medicine, Durham, North Carolina, USA
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
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20
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Hwang PH, Nelson LD, Sharon JD, McCrea MA, Dikmen SS, Markowitz AJ, Manley GT, Temkin NR. Association Between TBI-Related Hearing Impairment and Cognition: A TRACK-TBI Study. J Head Trauma Rehabil 2022; 37:E327-E335. [PMID: 34698685 PMCID: PMC9035476 DOI: 10.1097/htr.0000000000000735] [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] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To examine the association between hearing impairment and cognitive function after traumatic brain injury (TBI). SETTING A total of 18 level I trauma centers throughout the United States in the T ransforming R esearch a nd C linical K nowledge in TBI (TRACK-TBI) study. PARTICIPANTS From February 2014 to June 2018, a total of 2697 participants with TBI were enrolled in TRACK-TBI. Key eligibility criteria included external force trauma to the head, presentation to a participating level I trauma center, and receipt of a clinically indicated head computed tomographic (CT) scan within 24 hours of injury. A total of 1267 participants were evaluated in the study, with 216 participants with hearing impairment and 1051 participants without hearing impairment. Those with missing or unknown hearing status or cognitive assessment were excluded from analysis. DESIGN Prospective, observational cohort study. MAIN MEASURES Hearing impairment at 2 weeks post-TBI was based on self-report. Participants who indicated worse hearing in one or both ears were defined as having hearing impairment, whereas those who denied worse hearing in either ear were defined as not having hearing impairment and served as the reference group. Cognitive outcomes at 6 months post-TBI included executive functioning and processing speed, as measured by the Trail Making Test (TMT) B/A and the Wechsler Adult Intelligence Scale, Fourth Edition, Processing Speed Index subscale (WAIS-IV PSI), respectively. RESULTS TBI-related hearing impairment had a small but significantly greater TMT B/A ratio than without TBI-related hearing impairment: mean difference ( B ) = 0.25; 95% CI, 0.07 to 0.43; P = .005. No significant mean differences on WAIS-IV PSI scores were found between participants with and without TBI-related hearing impairment: B = 0.36; 95% CI, -2.07 to 2.60; P = .825. CONCLUSION We conclude that TBI-related hearing impairment at 6 months postinjury was significantly associated with worse executive functioning but not cognitive processing speed.
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Affiliation(s)
- Phillip H Hwang
- Department of Anatomy & Neurobiology, Boston University, Boston, Massachusetts (Dr Hwang); Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee (Drs Nelson and McCrea); Departments of Otolaryngology (Dr Sharon) and Neurological Surgery (Dr Manley), University of California San Francisco; Departments of Rehabilitation Medicine (Dr Dikmen), Neurological Surgery (Dr Temkin), and Biostatistics (Dr Temkin), University of Washington, Seattle; and Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California (Ms Markowitz)
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21
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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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22
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Madhok DY, Rodriguez RM, Barber J, Temkin NR, Markowitz AJ, Kreitzer N, Manley GT. Outcomes in Patients With Mild Traumatic Brain Injury Without Acute Intracranial Traumatic Injury. JAMA Netw Open 2022; 5:e2223245. [PMID: 35976650 PMCID: PMC9386538 DOI: 10.1001/jamanetworkopen.2022.23245] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
IMPORTANCE Traumatic brain injury (TBI) affects millions of people in the US each year. Most patients with TBI seen in emergency departments (EDs) have a Glasgow Coma Scale (GCS) score of 15 and a head computed tomography (CT) scan showing no acute intracranial traumatic injury (negative head CT scan), yet the short-term and long-term functional outcomes of this subset of patients remain unclear. OBJECTIVE To describe the 2-week and 6-month recovery outcomes in a cohort of patients with mild TBI with a GCS score of 15 and a negative head CT scan. DESIGN, SETTING, AND PARTICIPANTS This cohort study analyzed participants who were enrolled from January 1, 2014, to December 31, 2018, in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study, a prospective, observational cohort study of patients with TBI that was conducted in EDs of 18 level I trauma centers in urban areas. Of the total 2697 participants in the TRACK-TBI study, 991 had a GCS score of 15 and negative head CT scan and were eligible for inclusion in this analysis. Data were analyzed from September 1, 2021, to May 30, 2022. MAIN OUTCOMES AND MEASURES The primary outcome was the Glasgow Outcome Scale-Extended (GOS-E) score, which was stratified according to functional recovery (GOS-E score, 8) vs incomplete recovery (GOS-E score, <8), at 2 weeks and 6 months after the injury. The secondary outcome was severity of mild TBI-related symptoms assessed by the Rivermead Post Concussion Symptoms Questionnaire (RPQ) total score. RESULTS A total of 991 participants (mean [SD] age, 38.5 [15.8] years; 631 male individuals [64%]) were included. Of these participants, 751 (76%) were followed up at 2 weeks after the injury: 204 (27%) had a GOS-E score of 8 (functional recovery), and 547 (73%) had a GOS-E scores less than 8 (incomplete recovery). Of 659 participants (66%) followed up at 6 months after the injury, 287 (44%) had functional recovery and 372 (56%) had incomplete recovery. Most participants with incomplete recovery reported that they had not returned to baseline or preinjury life (88% [479 of 546]; 95% CI, 85%-90%). Mean RPQ score was 16 (95% CI, 14-18; P < .001) points lower at 2 weeks (7 vs 23) and 18 (95% CI, 16-20; P < .001) points lower at 6 months (4 vs 22) in participants with a GOS-E score of 8 compared with those with a GOS-E score less than 8. CONCLUSIONS AND RELEVANCE This study found that most participants with a GCS score of 15 and negative head CT scan reported incomplete recovery at 2 weeks and 6 months after their injury. The findings suggest that emergency department clinicians should recommend 2-week follow-up visits for these patients to identify those with incomplete recovery and to facilitate their rehabilitation.
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Affiliation(s)
- Debbie Y. Madhok
- Department of Emergency Medicine, University of California San Francisco, San Francisco
- Department of Neurology, University of California San Francisco, San Francisco
| | - Robert M. Rodriguez
- Department of Emergency Medicine, University of California San Francisco, San Francisco
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Nancy R. Temkin
- Department of Neurological Surgery, University of Washington, Seattle
- Department of Biostatistics, University of Washington, Seattle
| | - Amy J. Markowitz
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Natalie Kreitzer
- Department of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio
| | - Geoffrey T. Manley
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- Department of Neurological Surgery, University of California San Francisco, San Francisco
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23
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Gaudette É, Seabury SA, Temkin N, Barber J, DiGiorgio AM, Markowitz AJ, Manley GT. Employment and Economic Outcomes of Participants With Mild Traumatic Brain Injury in the TRACK-TBI Study. JAMA Netw Open 2022; 5:e2219444. [PMID: 35767257 PMCID: PMC9244609 DOI: 10.1001/jamanetworkopen.2022.19444] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
IMPORTANCE Mild traumatic brain injury (mTBI) may impair the ability to work. Strategies to facilitate return to work are understudied. OBJECTIVE To assess employment and economic outcomes for employed, working-age adults with mTBI in the 12 months after injury and the association between return to work and employer assistance. DESIGN, SETTING, AND PARTICIPANTS Using data from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study, a cohort study of patients with mTBI presenting to emergency departments of 11 level I US trauma centers was performed. Patients with mTBI enrolled in the TRACK-TBI cohort study from February 26, 2014, to May 4, 2016, were followed up at 2 weeks and 3, 6, and 12 months after injury. Work status and income decline of participants were documented in the first year after injury. Associations between work status, injury characteristics, and offer of employer assistance and associations between follow-up care and employer assistance were investigated. Results were adjusted for unobserved outcomes using inverse probability weighting. Data were extracted July 12, 2020; analyses were completed March 24, 2021. Analyses included 435 participants aged 18 to 64 years who were working before the injury, had a Glasgow Coma Scale score of 13 to 15, and completed all postinjury follow-up surveys. MAIN OUTCOMES AND MEASURES Primary outcomes were work status (working or not working) at each study follow-up milestone. Employer assistance included sick leave, reduced hours, modified schedule, transfer to different tasks, assistive technology, and coaching offered during the first 3 months after injury. RESULTS Of 435 participants (147 [34%] female; 320 [74%] White; mean [SD] age 37.3 [12.9] years), 258 (59%) reported not working at 2 weeks after injury and 74 (17%) reported not working at 12 months after injury. More than one-fifth (92 [21%]) experienced a decline in annual income. Work status at 12 months was significantly associated with postconcussion symptoms experienced at 3 months after injury (73% of patients with 3 or more symptoms reported working at 12 months after injury vs 89% of patients with 2 or fewer symptoms; P < .001) but not with other injury characteristics. Participants offered employer assistance in the first 3 months after injury were more likely to report working after injury than those not offered such assistance (at 6 months: 88% vs 78%; P = .02; at 12 months: 86% vs 72%; P = .005). CONCLUSIONS AND RELEVANCE In this cohort study, mTBI was associated with substantial employment and economic consequences for some patients. Clinicians should systematically follow up with patients with mTBI and coordinate with employers to promote successful return to work.
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Affiliation(s)
- Étienne Gaudette
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Seth A. Seabury
- Leonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles
- School of Pharmacy, University of Southern California, Los Angeles
| | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle
- Department of Biostatistics, University of Washington, Seattle
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco
- Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of California, San Francisco
- Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco
- Zuckerberg San Francisco General Hospital, San Francisco, California
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Moon JY, Mukherjee P, Madduri RK, Markowitz AJ, Cai LT, Palacios EM, Manley GT, Bremer PT. The Case for Optimized Edge-Centric Tractography at Scale. Front Neuroinform 2022; 16:752471. [PMID: 35651721 PMCID: PMC9148990 DOI: 10.3389/fninf.2022.752471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
The anatomic validity of structural connectomes remains a significant uncertainty in neuroimaging. Edge-centric tractography reconstructs streamlines in bundles between each pair of cortical or subcortical regions. Although edge bundles provides a stronger anatomic embedding than traditional connectomes, calculating them for each region-pair requires exponentially greater computation. We observe that major speedup can be achieved by reducing the number of streamlines used by probabilistic tractography algorithms. To ensure this does not degrade connectome quality, we calculate the identifiability of edge-centric connectomes between test and re-test sessions as a proxy for information content. We find that running PROBTRACKX2 with as few as 1 streamline per voxel per region-pair has no significant impact on identifiability. Variation in identifiability caused by streamline count is overshadowed by variation due to subject demographics. This finding even holds true in an entirely different tractography algorithm using MRTrix. Incidentally, we observe that Jaccard similarity is more effective than Pearson correlation in calculating identifiability for our subject population.
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Affiliation(s)
- Joseph Y. Moon
- Lawrence Livermore National Laboratory, Livermore, CA, United States
- *Correspondence: Joseph Y. Moon
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
- Pratik Mukherjee
| | | | - Amy J. Markowitz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Lanya T. Cai
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Eva M. Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Geoffrey T. Manley
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Peer-Timo Bremer
- Lawrence Livermore National Laboratory, Livermore, CA, United States
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Kaplan AD, Cheng Q, Mohan KA, Nelson LD, Jain S, Levin H, Torres-Espin A, Chou A, Huie JR, Ferguson AR, McCrea M, Giacino J, Sundaram S, Markowitz AJ, Manley GT. Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data. IEEE J Biomed Health Inform 2022; 26:1285-1296. [PMID: 34310331 PMCID: PMC8789941 DOI: 10.1109/jbhi.2021.3099745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 11/10/2022]
Abstract
Prognoses of Traumatic Brain Injury (TBI) outcomes are neither easily nor accurately determined from clinical indicators. This is due in part to the heterogeneity of damage inflicted to the brain, ultimately resulting in diverse and complex outcomes. Using a data-driven approach on many distinct data elements may be necessary to describe this large set of outcomes and thereby robustly depict the nuanced differences among TBI patients' recovery. In this work, we develop a method for modeling large heterogeneous data types relevant to TBI. Our approach is geared toward the probabilistic representation of mixed continuous and discrete variables with missing values. The model is trained on a dataset encompassing a variety of data types, including demographics, blood-based biomarkers, and imaging findings. In addition, it includes a set of clinical outcome assessments at 3, 6, and 12 months post-injury. The model is used to stratify patients into distinct groups in an unsupervised learning setting. We use the model to infer outcomes using input data, and show that the collection of input data reduces uncertainty of outcomes over a baseline approach. In addition, we quantify the performance of a likelihood scoring technique that can be used to self-evaluate the extrapolation risk of prognosis on unseen patients.
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Affiliation(s)
- Alan D. Kaplan
- Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Qi Cheng
- Lawrence Livermore National Laboratory, Livermore, CA, USA
| | | | | | - Sonia Jain
- University of California, San Diego, La Jolla, CA, USA
| | | | | | - Austin Chou
- University of California, San Francisco, CA, USA
| | | | | | - Michael McCrea
- Medical College of Wisconsin, Milwaukee, Wisconsin, WI, USA
| | - Joseph Giacino
- Massachusetts General Hospital, Spaulding Rehabilitation Hospital and Harvard Medical School, Boston, MA, USA
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Wickwire EM, Albrecht JS, Capaldi VF, Jain SO, Gardner RC, Werner JK, Mukherjee P, McKeon AB, Smith MT, Giacino JT, Nelson LD, Williams SG, Collen J, Sun X, Schnyer DM, Markowitz AJ, Manley GT, Krystal AD. Trajectories of Insomnia in Adults After Traumatic Brain Injury. JAMA Netw Open 2022; 5:e2145310. [PMID: 35080600 PMCID: PMC8792888 DOI: 10.1001/jamanetworkopen.2021.45310] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [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: 01/27/2023] Open
Abstract
IMPORTANCE Insomnia is common after traumatic brain injury (TBI) and contributes to morbidity and long-term sequelae. OBJECTIVE To identify unique trajectories of insomnia in the 12 months after TBI. DESIGN, SETTING, AND PARTICIPANTS In this prospective cohort study, latent class mixed models (LCMMs) were used to model insomnia trajectories over time and to classify participants into distinct profile groups. Data from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study, a longitudinal, multisite, observational study, were uploaded to the Federal Interagency Traumatic Brain Injury Repository (FITBIR) database. Participants were enrolled at 1 of 18 participating level I trauma centers and enrolled within 24 hours of TBI injury. Additional data were obtained directly from the TRACK-TBI investigators that will be uploaded to FITBIR in the future. Data were collected from February 26, 2014, to August 8, 2018, and analyzed from July 1, 2020, to November 15, 2021. EXPOSURES Traumatic brain injury. MAIN OUTCOMES AND MEASURES Insomnia Severity Index assessed serially at 2 weeks and 3, 6, and 12 months thereafter. RESULTS The final sample included 2022 participants (1377 [68.1%] men; mean [SD] age, 40.1 [17.2] years) from the FITBIR database and the TRACK-TBI study. The data were best fit by a 5-class LCMM. Of these participants, 1245 (61.6%) reported persistent mild insomnia symptoms (class 1); 627 (31.0%) initially reported mild insomnia symptoms that resolved over time (class 2); 91 (4.5%) reported persistent severe insomnia symptoms (class 3); 44 (2.2%) initially reported severe insomnia symptoms that resolved by 12 months (class 4); and 15 (0.7%) initially reported no insomnia symptoms but had severe symptoms by 12 months (class 5). In a multinomial logistic regression model, several factors significantly associated with insomnia trajectory class membership were identified, including female sex (odds ratio [OR], 1.65 [95% CI, 1.02-2.66]), Black race (OR, 2.36 [95% CI, 1.39-4.01]), history of psychiatric illness (OR, 2.21 [95% CI, 1.35-3.60]), and findings consistent with intracranial injury on computed tomography (OR, 0.36 [95% CI, 0.20-0.65]) when comparing class 3 with class 1. CONCLUSIONS AND RELEVANCE These results suggest important heterogeneity in the course of insomnia after TBI in adults. More work is needed to identify outcomes associated with these insomnia trajectory class subgroups and to identify optimal subgroup-specific treatment approaches.
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Affiliation(s)
- Emerson M. Wickwire
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore
- Sleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore
| | - Jennifer S. Albrecht
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore
| | - Vincent F. Capaldi
- Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, Maryland
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Sonia O. Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego
| | | | - J. Kent Werner
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Neurology, The Johns Hopkins University, Baltimore, Maryland
| | - Pratik Mukherjee
- Department of Radiology, School of Medicine, University of California, San Francisco
| | - Ashlee B. McKeon
- Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, Maryland
| | - Michael T. Smith
- Division of Behavioral Medicine, Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
| | - Lindsay D. Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Scott G. Williams
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Medicine, Fort Belvoir Community Hospital, Fort Belvoir, Virginia
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Jacob Collen
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Sleep Disorders Center, Department of Medicine, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego
| | | | - Amy J. Markowitz
- Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco
| | - Geoffrey T. Manley
- Brain and Spinal Injury Center, University of California, San Francisco
- Department of Neurosurgery, University of California, San Francisco
| | - Andrew D. Krystal
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
- Weill Institute for Neurosciences, University of California, San Francisco
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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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Kreitzer N, Jain S, Young JS, Sun X, Stein MB, McCrea MA, Levin HS, Giacino JT, Markowitz AJ, Manley GT, Nelson LD. Comparing the Quality of Life after Brain Injury-Overall Scale and Satisfaction with Life Scale as Outcome Measures for Traumatic Brain Injury Research. J Neurotrauma 2021; 38:3352-3363. [PMID: 34435894 DOI: 10.1089/neu.2020.7546] [Citation(s) in RCA: 3] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
It is important to measure quality of life (QoL) after traumatic brain injury (TBI), yet limited studies have compared QoL inventories. In 2579 TBI patients, orthopedic trauma controls, and healthy friend control participants, we compared the Quality of Life After Brain Injury-Overall Scale (QOLIBRI-OS), developed for TBI patients, to the Satisfaction with Life Scale (SWLS), an index of generic life satisfaction. We tested the hypothesis that group differences (TBI and orthopedic trauma vs. healthy friend controls) would be larger for the QOLIBRI-OS than the SWLS and that the QOLIBRI-OS would manifest more substantial changes over time in the injured groups, demonstrating more relevance of the QOLIBRI-OS to traumatic injury recovery. (1) We compared the group differences (TBI vs. orthopedic trauma control vs. friend control) in QoL as indexed by the SWLS versus the QOLIBRI-OS and (2) characterized changes across time in these two inventories across 1 year in these three groups. Our secondary objective was to characterize the relationship between TBI severity and QoL. As compared with healthy friend controls, the QOLIBRI reflected greater reductions in QoL than the SWLS for both the TBI group (all time points) and the orthopedic trauma control group (2 weeks and 3 months). The QOLIBRI-OS better captured expected improvements in QoL during the injury recovery course in injured groups than the SWLS, which demonstrated smaller changes over time. TBI severity was not consistently or robustly associated with self-reported QoL. The findings imply that, as compared with the SWLS, the QOLIBRI-OS appears to identify QoL issues more specifically relevant to traumatically injured patients and may be a more appropriate primary QoL outcome measure for research focused on the sequelae of traumatic injuries.
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Affiliation(s)
- Natalie Kreitzer
- Department of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio, 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
| | - Jacob S Young
- Department of Neurological Surgery, University of California, 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
| | - Murray B Stein
- Departments of Psychiatry and Family Medicine & Public Health, University of California, San Diego, San Diego, California, USA
| | - Michael A McCrea
- Departments of Neurosurgery & Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Harvey S Levin
- Department of Physical Medicine and Rehabilitation, Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School and Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - Amy J Markowitz
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Lindsay D Nelson
- Departments of Neurosurgery & Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
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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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Bodien Y, Barra A, Temkin N, Barber J, Foreman B, Vassar M, Robertson CS, Taylor SR, Markowitz AJ, Manley GT, Giacino J, Edlow BL. Diagnosing Level of Consciousness: The Limits of the Glasgow Coma Scale Total Score. J Neurotrauma 2021; 38:3295-3305. [PMID: 34605668 DOI: 10.1089/neu.2021.0199] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [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: 10/20/2022] Open
Abstract
In nearly all clinical and research contexts, the initial severity of a traumatic brain injury (TBI) is measured using the Glasgow Coma Scale (GCS) total score. However, the GCS total score may not accurately reflect level of consciousness, a critical indicator of injury severity. We investigated the relationship between GCS total scores and level of consciousness in a consecutive sample of 2,455 adult subjects assessed with the GCS 69,487 times as part of the multi-center Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. We assigned each GCS subscale score combination a level of consciousness rating based upon published criteria for the following disorders of consciousness (DoC) diagnoses: coma, vegetative state/unresponsive wakefulness syndrome, minimally conscious state, and post-traumatic confusional state, and present our findings using summary statistics and four illustrative cases. Participants had the following characteristics: mean (standard deviation) age 41.9 (17.6) years, 69% male, initial GCS 3-8=13%; 9-12=5%; 13-15=82%. All GCS total scores between 4-14 were associated with more than one DoC diagnosis; the greatest variability was observed for scores of 7-11. Furthermore, a wide range of total scores were associated with identical DoC diagnoses. Importantly, a diagnosis of coma was only possible with GCS total scores of 3-6. The GCS total score does not accurately reflect level of consciousness based on published DoC diagnostic criteria. To improve the classification of patients with TBI and to inform the design of future clinical trials, clinicians and investigators should consider individual subscale behaviors and more comprehensive assessments when evaluating TBI severity.
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Affiliation(s)
- Yelena Bodien
- Massachusetts General Hospital, 2348, Neurology, Boston, Massachusetts, United States.,Spaulding Rehabilitation Hospital, 24498, Physical Medicine and Rehabilitation, Charlestown, Massachusetts, United States;
| | | | - Nancy Temkin
- University of Washington, 7284, Departments of Neurological Surgery and Biostatistics, Seattle, Washington, United States;
| | - Jason Barber
- University of Washington, 7284, Seattle, Washington, United States;
| | - Brandon Foreman
- University of Cincinnati, Neurology, Cincinnati, Ohio, United States;
| | - Mary Vassar
- University of California San Francisco, 8785, San Francisco, California, United States;
| | - Claudia S Robertson
- Baylor College of Medicine, Neurosurgery, One Baylor Plaza, Houston, Texas, United States, 77030;
| | - Sabrina R Taylor
- University of California San Francisco Department of Neurological Surgery, 189227, San Francisco, California, United States;
| | - Amy J Markowitz
- University of California, San Francisco, Brain and Spinal Injury Center (BASIC), 1001 Potrero Ave, Bldg 1 Rm 101, San Francisco, California, United States, 94110;
| | - Geoffrey T Manley
- University of California San Francisco, Neurosurgery, San Francisco, California, United States.,UCSF Weill Institute for Neurosciences, San Francisco, California, United States;
| | - Joseph Giacino
- Spaulding Rehabilitation Hospital, 24498, PM&R, 300 1st Ave, Charlestown, Massachusetts, United States, 02129-3109;
| | - Brian L Edlow
- Harvard Medical School, 1811, 175 Cambridge Street - Suite 300, Boston, Massachusetts, United States, 02115.,Massachusetts General Hospital, 2348, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States;
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Krishnamoorthy V, Temkin N, Barber J, Foreman B, Komisarow J, Korley FK, Laskowitz DT, Mathew JP, Hernandez A, Sampson J, James ML, Bartz R, Raghunathan K, Goldstein BA, Markowitz AJ, Vavilala MS. Association of Early Multiple Organ Dysfunction With Clinical and Functional Outcomes Over the Year Following Traumatic Brain Injury: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study. Crit Care Med 2021; 49:1769-1778. [PMID: 33935162 PMCID: PMC8448900 DOI: 10.1097/ccm.0000000000005055] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 11/25/2022]
Abstract
OBJECTIVES Traumatic brain injury is a leading cause of death and disability in the United States. While the impact of early multiple organ dysfunction syndrome has been studied in many critical care paradigms, the clinical impact of early multiple organ dysfunction syndrome in traumatic brain injury is poorly understood. We examined the incidence and impact of early multiple organ dysfunction syndrome on clinical, functional, and disability outcomes over the year following traumatic brain injury. DESIGN Retrospective cohort study. SETTING Patients enrolled in the Transforming Clinical Research and Knowledge in Traumatic Brain Injury study, an 18-center prospective cohort study of traumatic brain injury patients evaluated in participating level 1 trauma centers. SUBJECTS Adult (age > 17 yr) patients with moderate-severe traumatic brain injury (Glasgow Coma Scale < 13). We excluded patients with major extracranial injury (Abbreviated Injury Scale score ≥ 3). INTERVENTIONS Development of early multiple organ dysfunction syndrome, defined as a maximum modified Sequential Organ Failure Assessment score greater than 7 during the initial 72 hours following admission. MEASUREMENTS AND MAIN RESULTS The main outcomes were: hospital mortality, length of stay, 6-month functional and disability domains (Glasgow Outcome Scale-Extended and Disability Rating Scale), and 1-year mortality. Secondary outcomes included: ICU length of stay, 3-month Glasgow Outcome Scale-Extended, 3-month Disability Rating Scale, 1-year Glasgow Outcome Scale-Extended, and 1-year Disability Rating Scale. We examined 373 subjects with moderate-severe traumatic brain injury. The mean (sd) Glasgow Coma Scale in the emergency department was 5.8 (3.2), with 280 subjects (75%) classified as severe traumatic brain injury (Glasgow Coma Scale 3-8). Among subjects with moderate-severe traumatic brain injury, 252 (68%) developed early multiple organ dysfunction syndrome. Subjects that developed early multiple organ dysfunction syndrome had a 75% decreased odds of a favorable outcome (Glasgow Outcome Scale-Extended 5-8) at 6 months (adjusted odds ratio, 0.25; 95% CI, 0.12-0.51) and increased disability (higher Disability Rating Scale score) at 6 months (adjusted mean difference, 2.04; 95% CI, 0.92-3.17). Subjects that developed early multiple organ dysfunction syndrome experienced an increased hospital length of stay (adjusted mean difference, 11.4 d; 95% CI, 7.1-15.8), with a nonsignificantly decreased survival to hospital discharge (odds ratio, 0.47; 95% CI, 0.18-1.2). CONCLUSIONS Early multiple organ dysfunction following moderate-severe traumatic brain injury is common and independently impacts multiple domains (mortality, function, and disability) over the year following injury. Further research is necessary to understand underlying mechanisms, improve early recognition, and optimize management strategies.
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Affiliation(s)
- Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University, Durham, NC
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University. Durham, NC
- Department of Population Health Sciences, Duke University, Durham, NC
| | - Nancy Temkin
- Department of Neurosurgery, University of Washington, Seattle, WA
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Jason Barber
- Department of Neurosurgery, University of Washington, Seattle, WA
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH
| | | | - Fred K. Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI
| | - Daniel T. Laskowitz
- Department of Anesthesiology, Duke University, Durham, NC
- Department of Neurosurgery, Duke University, Durham, NC
- Department of Neurology, Duke University, Durham, NC
| | | | | | - John Sampson
- Department of Neurosurgery, Duke University, Durham, NC
| | - Michael L. James
- Department of Anesthesiology, Duke University, Durham, NC
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University. Durham, NC
- Department of Neurology, Duke University, Durham, NC
- Brain and Spinal Injury Center, University of California at San Francisco, San Francisco, CA
| | - Raquel Bartz
- Department of Anesthesiology, Duke University, Durham, NC
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University. Durham, NC
- Brain and Spinal Injury Center, University of California at San Francisco, San Francisco, CA
| | - Karthik Raghunathan
- Department of Anesthesiology, Duke University, Durham, NC
- Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University. Durham, NC
- Department of Population Health Sciences, Duke University, Durham, NC
| | | | - Amy J. Markowitz
- Brain and Spinal Injury Center, University of California at San Francisco, San Francisco, CA
| | - Monica S. Vavilala
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA
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32
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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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33
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Wilson L, Boase K, Nelson LD, Temkin NR, Giacino JT, Markowitz AJ, Maas A, Menon DK, Teasdale G, Manley GT. A Manual for the Glasgow Outcome Scale-Extended Interview. J Neurotrauma 2021; 38:2435-2446. [PMID: 33740873 PMCID: PMC8390784 DOI: 10.1089/neu.2020.7527] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [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: 12/13/2022] Open
Abstract
The Glasgow Outcome Scale-Extended (GOSE) has become one of the most widely used outcome instruments to assess global disability and recovery after traumatic brain injury. Achieving consistency in the application of the assessment remains a challenge, particularly in multi-center studies involving many assessors. We present a manual for the GOSE interview that is designed to support both single- and multi-center studies and promote inter-rater agreement. Many patients fall clearly into a particular category; however, patients may have outcomes that are on the borderline between adjacent categories, and cases can present other challenges for assessment. The Manual includes the general principles of assessment, advice on administering each section of the GOSE interview, and guidance on "borderline" and "difficult" cases. Finally, we discuss the properties of the GOSE, including strengths and limitations, and outline recommendations for assessor training, accreditation, and monitoring.
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Affiliation(s)
- Lindsay Wilson
- Division of Psychology, School of Natural Sciences, University of Stirling, Stirling, United Kingdom
| | - Kim Boase
- Harborview Medical Center, Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | | | - Nancy R. Temkin
- Harborview Medical Center, Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | | | - Amy J. Markowitz
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
| | - Andrew 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, United Kingdom
| | - Graham Teasdale
- Mental Health and Wellbeing in the Institute of Health and Wellbeing at the University of Glasgow Medical School, Glasgow, United Kingdom
| | - Geoffrey T. Manley
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
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34
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Boase K, Machamer J, Temkin NR, Dikmen S, Wilson L, Nelson LD, Barber J, Bodien YG, Giacino JT, Markowitz AJ, McCrea MA, Satris G, Stein MB, Taylor SR, Manley GT. Central Curation of Glasgow Outcome Scale-Extended Data: Lessons Learned from TRACK-TBI. J Neurotrauma 2021; 38:2419-2434. [PMID: 33832330 PMCID: PMC8390785 DOI: 10.1089/neu.2020.7528] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The Glasgow Outcome Scale (GOS) in its original or extended (GOSE) form is the most widely used assessment of global disability in traumatic brain injury (TBI) research. Several publications have reported concerns about assessor scoring inconsistencies, but without documentation of contributing factors. We reviewed 6801 GOSE assessments collected longitudinally, across 18 sites in the 5-year, observational Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. We recorded error rates (i.e., corrections to a section or an overall rating) based on site assessor documentation and categorized scoring issues, which then informed further training. In cohort 1 (n = 1261; February 2014 to May 2016), 24% of GOSEs had errors identified by central review. In cohort 2 (n = 1130; June 2016 to July 2018), acquired after curation of cohort 1 data, feedback, and further training of site assessors, the error rate was reduced to 10%. GOSE sections associated with the most frequent interpretation and scoring difficulties included whether current functioning represented a change from pre-injury (466 corrected ratings in cohort 1; 62 in cohort 2), defining dependency in the home and community (163 corrections in cohort 1; three in cohort 2) and return to work/school (72 corrections in cohort 1; 35 in cohort 2). These results highlight the importance of central review in improving consistency across sites and over time. Establishing clear scoring criteria, coupled with ongoing guidance and feedback to data collectors, is essential to avoid scoring errors and resultant misclassification, which carry potential to result in "failure" of clinical trials that rely on the GOSE as their primary outcome measure.
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Affiliation(s)
- Kim Boase
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Joan Machamer
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Nancy R. Temkin
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Sureyya Dikmen
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Lindsay Wilson
- Division of Psychology, School of Natural Sciences, University of Stirling, Stirling, United Kingdom
| | - Lindsay D. Nelson
- Department of Neurological Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Jason Barber
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Yelena G. Bodien
- Spaulding Rehabilitation Hospital Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Joseph T. Giacino
- Spaulding Rehabilitation Hospital Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Amy J. Markowitz
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
| | - Michael A. McCrea
- Department of Neurological Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Gabriela Satris
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
| | - Murray B. Stein
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Sabrina R. Taylor
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
| | - Geoffrey T. Manley
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, California, USA
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35
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Toro C, Temkin N, Barber J, Manley G, Jain S, Ohnuma T, Komisarow J, Foreman B, Korley FK, Vavilala MS, Laskowitz DT, Mathew JP, Hernandez A, Sampson J, James ML, Goldstein BA, Markowitz AJ, Krishnamoorthy V. Association of Vasopressor Choice with Clinical and Functional Outcomes Following Moderate to Severe Traumatic Brain Injury: A TRACK-TBI Study. Neurocrit Care 2021; 36:180-191. [PMID: 34341913 DOI: 10.1007/s12028-021-01280-7] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/17/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Early hypotension following moderate to severe traumatic brain injury (TBI) is associated with increased mortality and poor long-term outcomes. Current guidelines suggest the use of intravenous vasopressors to support blood pressure following TBI; however, guidelines do not specify vasopressor type, resulting in variation in clinical practice. Minimal data are available to guide clinicians on optimal early vasopressor choice to support blood pressure following TBI. Therefore, we conducted a multicenter study to examine initial vasopressor choice for the support of blood pressure following TBI and its association with clinical and functional outcomes after injury. METHODS We conducted a retrospective cohort study of patients enrolled in the transforming research and clinical knowledge in traumatic brain injury (TRACK-TBI) study, an 18-center prospective cohort study of patients with TBI evaluated in participating level I trauma centers. We examined adults with moderate to severe TBI (defined as Glasgow Coma Scale score < 13) who were admitted to the intensive care unit and received an intravenous vasopressor within 48 h of admission. The primary exposure was initial vasopressor choice (phenylephrine versus norepinephrine), and the primary outcome was 6-month Glasgow Outcomes Scale Extended (GOSE), with the following secondary outcomes: length of hospital stay, length of intensive care unit stay, in-hospital mortality, new requirement for dialysis, and 6-month Disability Rating Scale. Regression analysis was used to assess differences in outcomes between patients exposed to norepinephrine versus phenylephrine, with propensity weighting to address selection bias due to the nonrandom allocation of the treatment groups and patient dropout. RESULTS The final study sample included 156 patients, of whom 79 (51%) received norepinephrine, 69 (44%) received phenylephrine, and 8 (5%) received an alternate drug as their initial vasopressor. 121 (77%) of patients were men, with a mean age of 43.1 years. Of patients receiving norepinephrine as their initial vasopressor, 32% had a favorable outcome (GOSE 5-8), whereas 40% of patients receiving phenylephrine as their initial vasopressor had a favorable outcome. Compared with phenylephrine, exposure to norepinephrine was not significantly associated with improved 6-month GOSE (weighted odds ratio 1.40, 95% confidence interval 0.66-2.96, p = 0.37) or any secondary outcome. CONCLUSIONS The majority of patients with moderate to severe TBI received either phenylephrine or norepinephrine as first-line agents for blood pressure support following brain injury. Initial choice of norepinephrine, compared with phenylephrine, was not associated with improved clinical or functional outcomes.
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Affiliation(s)
- Camilo Toro
- Critical Care and Perioperative Population Health Research Unit, Department of Anesthesiology, Duke University, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Nancy Temkin
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Neurosurgery, University of Washington, Seattle, WA, USA
| | - Jason Barber
- Department of Neurosurgery, University of Washington, Seattle, WA, USA
| | - Geoffrey Manley
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, USA
| | - Tetsu Ohnuma
- Critical Care and Perioperative Population Health Research Unit, Department of Anesthesiology, Duke University, Durham, NC, USA
- Department of Anesthesiology, Duke University, Durham, NC, USA
| | | | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Frederick K Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Monica S Vavilala
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Daniel T Laskowitz
- Department of Anesthesiology, Duke University, Durham, NC, USA
- Department of Neurosurgery, Duke University, Durham, NC, USA
- Department of Neurology, Duke University, Durham, NC, USA
| | - Joseph P Mathew
- Department of Anesthesiology, Duke University, Durham, NC, USA
| | | | - John Sampson
- Department of Neurosurgery, Duke University, Durham, NC, USA
| | - Michael L James
- Critical Care and Perioperative Population Health Research Unit, Department of Anesthesiology, Duke University, Durham, NC, USA
- Department of Anesthesiology, Duke University, Durham, NC, USA
- Department of Neurology, Duke University, Durham, NC, USA
| | - Benjamin A Goldstein
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Amy J Markowitz
- Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA, USA
| | - Vijay Krishnamoorthy
- Critical Care and Perioperative Population Health Research Unit, Department of Anesthesiology, Duke University, Durham, NC, USA.
- Department of Anesthesiology, Duke University, Durham, NC, USA.
- Department of Population Health Sciences, Duke University, Durham, NC, USA.
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36
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McCrea MA, Giacino JT, Barber J, Temkin NR, Nelson LD, Levin HS, Dikmen S, Stein M, Bodien YG, Boase K, Taylor SR, Vassar M, Mukherjee P, Robertson C, Diaz-Arrastia R, Okonkwo DO, Markowitz AJ, Manley GT, Adeoye O, Badjatia N, Bullock MR, Chesnut R, Corrigan JD, Crawford K, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Goldman D, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Jain S, Keene CD, Korley FK, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Puccio A, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Sherer M, Toga A, Valadka A, Wang K, Yue JK, Yuh E, Zafonte R. Functional Outcomes Over the First Year After Moderate to Severe Traumatic Brain Injury in the Prospective, Longitudinal TRACK-TBI Study. JAMA Neurol 2021; 78:982-992. [PMID: 34228047 DOI: 10.1001/jamaneurol.2021.2043] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Importance Moderate to severe traumatic brain injury (msTBI) is a major cause of death and disability in the US and worldwide. Few studies have enabled prospective, longitudinal outcome data collection from the acute to chronic phases of recovery after msTBI. Objective To prospectively assess outcomes in major areas of life function at 2 weeks and 3, 6, and 12 months after msTBI. Design, Setting, and Participants This cohort study, as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study, was conducted at 18 level 1 trauma centers in the US from February 2014 to August 2018 and prospectively assessed longitudinal outcomes, with follow-up to 12 months postinjury. Participants were patients with msTBI (Glasgow Coma Scale scores 3-12) extracted from a larger group of patients with mild, moderate, or severe TBI who were enrolled in TRACK-TBI. Data analysis took place from October 2019 to April 2021. Exposures Moderate or severe TBI. Main Outcomes and Measures The Glasgow Outcome Scale-Extended (GOSE) and Disability Rating Scale (DRS) were used to assess global functional status 2 weeks and 3, 6, and 12 months postinjury. Scores on the GOSE were dichotomized to determine favorable (scores 4-8) vs unfavorable (scores 1-3) outcomes. Neurocognitive testing and patient reported outcomes at 12 months postinjury were analyzed. Results A total of 484 eligible patients were included from the 2679 individuals in the TRACK-TBI study. Participants with severe TBI (n = 362; 283 men [78.2%]; median [interquartile range] age, 35.5 [25-53] years) and moderate TBI (n = 122; 98 men [80.3%]; median [interquartile range] age, 38 [25-53] years) were comparable on demographic and premorbid variables. At 2 weeks postinjury, 36 of 290 participants with severe TBI (12.4%) and 38 of 93 participants with moderate TBI (41%) had favorable outcomes (GOSE scores 4-8); 301 of 322 in the severe TBI group (93.5%) and 81 of 103 in the moderate TBI group (78.6%) had moderate disability or worse on the DRS (total score ≥4). By 12 months postinjury, 142 of 271 with severe TBI (52.4%) and 54 of 72 with moderate TBI (75%) achieved favorable outcomes. Nearly 1 in 5 participants with severe TBI (52 of 270 [19.3%]) and 1 in 3 with moderate TBI (23 of 71 [32%]) reported no disability (DRS score 0) at 12 months. Among participants in a vegetative state at 2 weeks, 62 of 79 (78%) regained consciousness and 14 of 56 with available data (25%) regained orientation by 12 months. Conclusions and Relevance In this study, patients with msTBI frequently demonstrated major functional gains, including recovery of independence, between 2 weeks and 12 months postinjury. Severe impairment in the short term did not portend poor outcomes in a substantial minority of patients with msTBI. When discussing prognosis during the first 2 weeks after injury, clinicians should be particularly cautious about making early, definitive prognostic statements suggesting poor outcomes and withdrawal of life-sustaining treatment in patients with msTBI.
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Affiliation(s)
- Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle
| | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Harvey S Levin
- Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Sureyya Dikmen
- Department of Neurological Surgery, University of Washington, Seattle
| | - Murray Stein
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Kim Boase
- Department of Neurological Surgery, University of Washington, Seattle
| | - Sabrina R Taylor
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Mary Vassar
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Pratik Mukherjee
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Claudia Robertson
- Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | - David O Okonkwo
- Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Amy J Markowitz
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Geoffrey T Manley
- Neurological Surgery, University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Sonia Jain
- University of California, San Diego, La Jolla
| | | | | | - 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
| | - Ava Puccio
- University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | | | | | | | | | | | | | - Arthur Toga
- University of Southern California, Los Angeles
| | | | | | - John K Yue
- University of California, San Francisco, San Francisco
| | - Esther Yuh
- University of California, San Francisco, San Francisco
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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, Yu EL, Mukherjee P, Mac Donald CL. Prognostic Value of Hemorrhagic Brainstem Injury on Early Computed Tomography: A TRACK-TBI Study. Neurocrit Care 2021; 35:335-346. [PMID: 34309784 DOI: 10.1007/s12028-021-01263-8] [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: 01/07/2021] [Accepted: 04/21/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Traumatic brainstem injury has yet to be incorporated into widely used imaging classification systems for traumatic brain injury (TBI), and questions remain regarding prognostic implications for this TBI subgroup. To address this, retrospective data on patients from the multicenter prospective Transforming Research and Clinical Knowledge in TBI study were studied. METHODS Patients with brainstem and cerebrum injury (BSI+) were matched by age, sex, and admission Glasgow Coma Scale (GCS) score to patients with cerebrum injuries only. All patients had an interpretable head computed tomography (CT) scan from the first 48 hours after injury and a 6-month Glasgow Outcome Scale Extended (GOSE) score. CT scans were reviewed for brainstem lesions and, when present, characterized by location, size, and type (traumatic axonal injury, contusion, or Duret hemorrhage). Clinical, demographic, and outcome data were then compared between the two groups. RESULTS Mann-Whitney U-tests showed no significant difference in 6-month GOSE scores in patients with BSI+ (mean 2.7) compared with patients with similar but only cerebrum injuries (mean 3.9), although there is a trend (p = 0.10). However, subclassification by brainstem lesion type, traumatic axonal injury (mean 4.0) versus Duret hemorrhage or contusion (mean 1.4), did identify a proportion of BSI+ with significantly less favorable outcome (p = 0.002). The incorporation of brainstem lesion type (traumatic axonal injury vs. contusion/Duret), along with GCS into a multivariate logistic regression model of favorable outcome (GOSE score 4-8) did show a significant contribution to the prognostication of this brainstem injury subgroup (odds ratio 0.08, 95% confidence interval 0.00-0.67, p = 0.01). CONCLUSIONS These findings suggest two groups of patients with brainstem injuries may exist with divergent recovery potential after TBI. These data support the notion that newer CT imaging classification systems may augment traditional clinical measures, such as GCS in identifying those patients with TBI and brainstem injuries that stand a higher chance of favorable outcome.
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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 Yu
- 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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38
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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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Nolan AL, Petersen C, Iacono D, Mac Donald CL, Mukherjee P, van der Kouwe A, Jain S, Stevens A, Diamond BR, Wang R, Markowitz AJ, Fischl B, Perl DP, Manley GT, Keene CD, Diaz-Arrastia R, Edlow BL. Tractography-Pathology Correlations in Traumatic Brain Injury: A TRACK-TBI Study. J Neurotrauma 2021; 38:1620-1631. [PMID: 33412995 PMCID: PMC8165468 DOI: 10.1089/neu.2020.7373] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 02/07/2023] Open
Abstract
Diffusion tractography magnetic resonance imaging (MRI) can infer changes in network connectivity in patients with traumatic brain injury (TBI), but the pathological substrates of disconnected tracts have not been well defined because of a lack of high-resolution imaging with histopathological validation. We developed an ex vivo MRI protocol to analyze tract terminations at 750-μm isotropic resolution, followed by histopathological evaluation of white matter pathology, and applied these methods to a 60-year-old man who died 26 days after TBI. Analysis of 74 cerebral hemispheric white matter regions revealed a heterogeneous distribution of tract disruptions. Associated histopathology identified variable white matter injury with patchy deposition of amyloid precursor protein (APP), loss of neurofilament-positive axonal processes, myelin dissolution, astrogliosis, microgliosis, and perivascular hemosiderin-laden macrophages. Multiple linear regression revealed that tract disruption strongly correlated with the density of APP-positive axonal swellings and neurofilament loss. Ex vivo diffusion MRI can detect tract disruptions in the human brain that reflect axonal injury.
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Affiliation(s)
- Amber L. Nolan
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
- Department of Pathology, University of California San Francisco, San Francisco, California, USA
| | - Cathrine Petersen
- Neuroscience Graduate Program, University of California San Francisco, San Francisco, California, USA
| | - Diego Iacono
- Department of Pathology, Uniformed Services University (USU), Bethesda, Maryland, USA
- Department of Neurology, F. Edward Hébert School of Medicine, Uniformed Services University (USU), Bethesda, Maryland, USA
- DoD/USU Brain Tissue Repository (BTR) & Neuropathology Core, Uniformed Services University (USU), Bethesda, Maryland, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, Maryland, USA
- Complex Neurodegenerative Disorders, Motor Neuron Disorders Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | | | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
| | - Allison Stevens
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Bram R. Diamond
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ruopeng Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Bruce Fischl
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Health Sciences and Technology, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Daniel P. Perl
- Department of Pathology, Uniformed Services University (USU), Bethesda, Maryland, USA
- DoD/USU Brain Tissue Repository (BTR) & Neuropathology Core, Uniformed Services University (USU), Bethesda, Maryland, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brian L. Edlow
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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40
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Nelson LD, Kramer MD, Joyner KJ, Patrick CJ, Stein MB, Temkin N, Levin HS, Whyte J, Markowitz AJ, Giacino J, Manley GT. Relationship between transdiagnostic dimensions of psychopathology and traumatic brain injury (TBI): A TRACK-TBI study. J Abnorm Psychol 2021; 130:423-434. [PMID: 34110838 DOI: 10.1037/abn0000672] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Neuropsychiatric symptoms are common, comorbid, and often disabling for patients with traumatic brain injury (TBI). Identifying transdiagnostic symptom dimensions post-TBI may help overcome limitations of traditional psychiatric diagnoses and advance treatment development. We characterized the dimensional structure of neuropsychiatric symptoms at 2-weeks postinjury in n = 1,732 TBI patients and n = 238 orthopedic-injured trauma controls (OTC) from the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Symptoms were reported on the Brief Symptom Inventory-18, Patient Health Questionnaire-9 Depression checklist, PTSD Checklist for DSM-5, PROMIS Pain Intensity scale, and Insomnia Severity Index. We established a novel factor model of neuropsychiatric symptoms and evaluated how 3 TBI severity strata and OTC patients differed in symptom severity. The final factor model had 6 first-order factors subsumed by 2 second-order factors: Internalizing (encompassing Depression, Anxiety, and Fear) and Somatic symptoms (Sleep, Physical, Pain). Somatic symptoms fit better as a correlated factor of (vs. a lower-order factor within) Internalizing. All symptom dimensions except for Pain were more severe in 1 or more TBI subgroups, as compared to the OTC group. Milder brain injury was generally associated with more severe symptoms, whereas more general injury severity (higher level of care, e.g., emergency department, intensive care unit) was associated with more pain. The findings indicate a broad factor resembling the internalizing factor of general psychopathology in traumatically injured patients, alongside a distinct somatic symptom factor. Brain injury, especially milder brain injury, may exacerbate liabilities toward these symptoms. These neuropsychiatric dimensions may help advance more precision medicine research for TBI. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | - Nancy Temkin
- Departments of Neurological Surgery and Biostatistics
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41
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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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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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Levin HS, Temkin NR, Barber J, Nelson LD, Robertson C, Brennan J, Stein MB, Yue JK, Giacino JT, McCrea MA, Diaz-Arrastia R, Mukherjee P, Okonkwo DO, Boase K, Markowitz AJ, Bodien Y, Taylor S, Vassar MJ, Manley GT. Association of Sex and Age With Mild Traumatic Brain Injury-Related Symptoms: A TRACK-TBI Study. JAMA Netw Open 2021; 4:e213046. [PMID: 33822070 PMCID: PMC8025125 DOI: 10.1001/jamanetworkopen.2021.3046] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [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: 12/21/2022] Open
Abstract
IMPORTANCE Knowledge of differences in mild traumatic brain injury (mTBI) recovery by sex and age may inform individualized treatment of these patients. OBJECTIVE To identify sex-related differences in symptom recovery from mTBI; secondarily, to explore age differences within women, who demonstrate poorer outcomes after TBI. DESIGN, SETTING, AND PARTICIPANTS The prospective cohort study Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) recruited 2000 patients with mTBI from February 26, 2014, to July 3, 2018, and 299 patients with orthopedic trauma (who served as controls) from January 26, 2016, to July 27, 2018. Patients were recruited from 18 level I trauma centers and followed up for 12 months. Data were analyzed from August 19, 2020, to March 3, 2021. EXPOSURES Patients with mTBI (defined by a Glasgow Coma Scale score of 13-15) triaged to head computed tomography in 24 hours or less; patients with orthopedic trauma served as controls. MAIN OUTCOMES AND MEASURES Measured outcomes included (1) the Rivermead Post Concussion Symptoms Questionnaire (RPQ), a 16-item self-report scale that assesses postconcussion symptom severity over the past 7 days relative to preinjury; (2) the Posttraumatic Stress Disorder Checklist for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (PCL-5), a 20-item test that measures the severity of posttraumatic stress disorder symptoms; (3) the Patient Health Questionnaire-9 (PHQ-9), a 9-item scale that measures depression based on symptom frequency over the past 2 weeks; and (4) the Brief Symptom Inventory-18 (BSI-18), an 18-item scale of psychological distress (split into Depression and Anxiety subscales). RESULTS A total of 2000 patients with mTBI (1331 men [67%; mean (SD) age, 41.0 (17.3) years; 1026 White (78%)] and 669 women [33%; mean (SD) age, 43.0 (18.5) years; 505 (76%) White]). After adjustment of multiple comparisons, significant TBI × sex interactions were observed for cognitive symptoms (B = 0.76; 5% false discovery rate-corrected P = .02) and somatic RPQ symptoms (B = 0.80; 5% false discovery rate-corrected P = .02), with worse symptoms in women with mTBI than men, but no sex difference in symptoms in control patients with orthopedic trauma. Within the female patients evaluated, there was a significant TBI × age interaction for somatic RPQ symptoms, which were worse in female patients with mTBI aged 35 to 49 years compared with those aged 17 to 34 years (B = 1.65; P = .02) or older than 50 years (B = 1.66; P = .02). CONCLUSIONS AND RELEVANCE This study found that women were more vulnerable than men to persistent mTBI-related cognitive and somatic symptoms, whereas no sex difference in symptom burden was seen after orthopedic injury. Postconcussion symptoms were also worse in women aged 35 to 49 years than in younger and older women, but further investigation is needed to corroborate these findings and to identify the mechanisms involved. Results suggest that individualized clinical management of mTBI should consider sex and age, as some women are especially predisposed to chronic postconcussion symptoms even 12 months after injury.
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Affiliation(s)
- Harvey S. Levin
- Baylor College of Medicine, Houston, Texas
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Nancy R. Temkin
- Department of Neurological Surgery, University of Washington, Seattle
- Department of Biostatistics, University of Washington, Seattle
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Lindsay D. Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | | | | | | | | | - Joseph T. Giacino
- Spaulding Rehabilitation Center, Boston, Massachusetts
- Massachusetts General Hospital, Boston
| | - Michael A. McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | | | | | - David O. Okonkwo
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh
| | - Kim Boase
- Department of Neurological Surgery, University of Washington, Seattle
| | | | - Yelena Bodien
- Spaulding Rehabilitation Center, Boston, Massachusetts
- Massachusetts General Hospital, Boston
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Brett BL, Kramer MD, Whyte J, McCrea MA, Stein MB, Giacino JT, Sherer M, Markowitz AJ, Manley GT, Nelson LD. Latent Profile Analysis of Neuropsychiatric Symptoms and Cognitive Function of Adults 2 Weeks After Traumatic Brain Injury: Findings From the TRACK-TBI Study. JAMA Netw Open 2021; 4:e213467. [PMID: 33783518 PMCID: PMC8010589 DOI: 10.1001/jamanetworkopen.2021.3467] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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] [Received: 09/25/2020] [Accepted: 01/08/2021] [Indexed: 01/01/2023] Open
Abstract
Importance Heterogeneity across patients with traumatic brain injury (TBI) presents challenges for clinical care and intervention design. Identifying distinct clinical phenotypes of TBI soon after injury may inform patient selection for precision medicine clinical trials. Objective To investigate whether distinct neurobehavioral phenotypes can be identified 2 weeks after TBI and to characterize the degree to which early neurobehavioral phenotypes are associated with 6-month outcomes. Design, Setting, and Participants This prospective cohort study included patients presenting to 18 US level 1 trauma centers within 24 hours of TBI from 2014 to 2019 as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Data were analyzed from January 28, 2020, to January 11, 2021. Exposures TBI. Main Outcomes and Measures Latent profiles (LPs) were derived from common dimensions of neurobehavioral functioning at 2 weeks after injury, assessed through National Institutes of Health TBI Common Data Elements (ie, Brief Symptom Inventory-18, Patient Health Questionnaire-9 Depression checklist, Posttraumatic Stress Disorder Checklist for DSM-5, PROMIS Pain Intensity scale, Insomnia Severity Index, Rey Auditory Verbal Learning Test, Wechsler Adult Intelligence Scale-Fourth Edition Coding and Symbol Search subtests, Trail Making Test, and NIH Toolbox Cognitive Battery Pattern Comparison Processing Speed, Dimensional Change Card Sort, Flanker Inhibitory Control and Attention, and Picture Sequence Memory subtests). Six-month outcomes were the Satisfaction With Life Scale (SWLS), Quality of Life after Brain Injury-Overall Scale (QOLIBRI-OS), Glasgow Outcome Scale-Extended (GOSE), and Rivermead Post-Concussion Symptoms Questionnaire (RPQ). Results Among 1757 patients with TBI included, 1184 (67.4%) were men, and the mean (SD) age was 39.9 (17.0) years. LP analysis revealed 4 distinct neurobehavioral phenotypes at 2 weeks after injury: emotionally resilient (419 individuals [23.8%]), cognitively impaired (368 individuals [20.9%]), cognitively resilient (620 individuals [35.3%]), and neuropsychiatrically distressed (with cognitive weaknesses; 350 individuals [19.9%]). Adding LP group to models including demographic characteristics, medical history, Glasgow Coma Scale score, and other injury characteristics was associated with significantly improved estimation of association with 6-month outcome (GOSE R2 increase = 0.09-0.19; SWLS R2 increase = 0.12-0.22; QOLIBRI-OS R2 increase = 0.14-0.32; RPQ R2 = 0.13-0.34). Conclusions and Relevance In this cohort study of patients with TBI presenting to US level-1 trauma centers, qualitatively distinct profiles of symptoms and cognitive functioning were identified at 2 weeks after TBI. These distinct phenotypes may help optimize clinical decision-making regarding prognosis, as well as selection and stratification for randomized clinical trials.
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Affiliation(s)
- Benjamin L. Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | | | - John Whyte
- Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania
| | - Michael A. McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Murray B. Stein
- Department of Psychiatry, University of California, San Diego, La Jolla
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla
- VA San Diego Healthcare System, San Diego, California
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
| | - Mark Sherer
- TIRR Memorial Hermann, Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Lindsay D. Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
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Stein MB, Yuh E, Jain S, Okonkwo DO, Mac Donald CL, Levin H, Giacino JT, Dikmen S, Vassar MJ, Diaz-Arrastia R, Robertson CS, Nelson LD, McCrea M, Sun X, Temkin N, Taylor SR, Markowitz AJ, Manley GT, Mukherjee P. Smaller Regional Brain Volumes Predict Posttraumatic Stress Disorder at 3 Months After Mild Traumatic Brain Injury. Biol Psychiatry Cogn Neurosci Neuroimaging 2021; 6:352-359. [PMID: 33386283 PMCID: PMC7946719 DOI: 10.1016/j.bpsc.2020.10.008] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/10/2020] [Accepted: 10/13/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND Brain volumes in regions such as the hippocampus and amygdala have been associated with risk for the development of posttraumatic stress disorder (PTSD). The objective of this study was to determine whether a set of regional brain volumes, measured by magnetic resonance imaging at 2 weeks following mild traumatic brain injury, were predictive of PTSD at 3 and 6 months after injury. METHODS Using data from TRACK-TBI (Transforming Research and Clinical Knowledge in TBI), we included patients (N = 421) with Glasgow Coma Scale scores 13-15 assessed after evaluation in the emergency department and at 2 weeks, 3 months, and 6 months after injury. Probable PTSD diagnosis (PTSD Checklist for DSM-5 score, ≥33) was the outcome. FreeSurfer 6.0 was used to perform volumetric analysis of three-dimensional T1-weighted magnetic resonance images at 3T obtained 2 weeks post injury. Brain regions selected a priori for volumetric analyses were insula, hippocampus, amygdala, superior frontal cortex, rostral and caudal anterior cingulate, and lateral and medial orbitofrontal cortices. RESULTS Overall, 77 (18.3%) and 70 (16.6%) patients had probable PTSD at 3 and 6 months. A composite volume derived as the first principal component incorporating 73.8% of the variance in insula, superior frontal cortex, and rostral and caudal cingulate contributed to the prediction of 3-month (but not 6-month) PTSD in multivariable models incorporating other established risk factors. CONCLUSIONS Results, while needing replication, provide support for a brain reserve hypothesis of PTSD and proof of principle for how prediction of at-risk individuals might be accomplished to enhance prognostic accuracy and enrich clinical prevention trials for individuals at the highest risk of PTSD following mild traumatic brain injury.
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Affiliation(s)
- Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, California; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California; VA San Diego Healthcare System, San Diego, California.
| | - Esther Yuh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California
| | - Sonia Jain
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | - Harvey Levin
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts; Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
| | - Sureyya Dikmen
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Mary J Vassar
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California; Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Michael McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Xiaoying Sun
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California
| | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Sabrina R Taylor
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California; Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Amy J Markowitz
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California.
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California; Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California
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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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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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48
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Zahniser E, Temkin NR, Machamer J, Barber J, Manley GT, Markowitz AJ, Dikmen SS. The Functional Status Examination in Mild Traumatic Brain Injury: A TRACK-TBI Sub-Study. Arch Clin Neuropsychol 2019; 34:1165-1174. [PMID: 30608522 PMCID: PMC10576412 DOI: 10.1093/arclin/acy103] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 09/26/2018] [Revised: 08/11/2018] [Accepted: 12/26/2018] [Indexed: 08/06/2023] Open
Abstract
OBJECTIVE The Functional Status Examination (FSE) is a comprehensive measure of functional status post-traumatic brain injury (TBI) that has primarily been used in studies of moderate-to-severe TBI. The present observational study examines functional status using the FSE among patients who sustained mild TBIs (mTBIs; defined as Glasgow Coma Scale [GCS] = 13-15 at admission) seen in a Level 1 trauma center. Study aims included examining the course of functional status following mTBI, as well as exploring relationships of the FSE and other relevant constructs among those with GCS = 13-15. METHOD Participants were assessed at 2 weeks (n = 112), 3 months (n = 113), 6 months (n = 106), and 12 months (n = 88) post-injury for changes in functional status resulting both (a) from all injuries and (b) from TBI only. RESULTS Among seven domains of day-to-day functioning, participants generally experienced the greatest disruption in their primary activity (work or school) and in leisure and recreation. Subjects' overall functional status tended to improve over time, with sharpest increases in functionality occurring in the first 3 months post-injury. However, some subjects continued to report functional limitations even at 12 months post-injury. Functional status was largely unrelated to neurocognitive functioning, but related strongly to post-traumatic symptoms, life satisfaction, and emotional well-being, particularly at 3 months post-injury and beyond. CONCLUSION Findings indicate that functional impairments related to mTBI may be more likely to persist than widely believed, with those who experience lingering functional deficits at particular risk for emotional health difficulties.
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Affiliation(s)
- Evan Zahniser
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Joan Machamer
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Amy J Markowitz
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Sureyya S Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
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49
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Wickwire EM, Albrecht JS, Griffin NR, Schnyer DM, Yue JK, Markowitz AJ, Okonkwo DO, Valadka AB, Badjatia N, Manley GT. Sleep disturbances precede depressive symptomatology following traumatic brain injury. Curr Neurobiol 2019; 10:49-55. [PMID: 34040318 PMCID: PMC8148630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The purpose of the present study was to evaluate the impact of sleep disturbances on subsequent depressive symptomatology among a representative sample of patients following traumatic brain injury (TBI). Within a retrospective cohort design, our sample included 305 individuals from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot; NINDS-OD09-004) database. At 3-months post-TBI, symptoms of insomnia were reported by 34% of patients, and symptoms of hypersomnia were reported by 39% of patients. For the vast majority of individuals, sleep complaints were likely to persist through 6-month follow-up. Symptoms of hypersomnia but not insomnia at three months were associated with worsened depressive symptomatology at six months. These results highlight the importance of sleep disturbances in recovery from TBI and suggest targeted sleep treatments as a pathway to improve outcomes and quality of life following TBI.
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Affiliation(s)
- Emerson M. Wickwire
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
- Sleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Jennifer S. Albrecht
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD
| | | | | | - John K. Yue
- Department of Neurosurgery, University of California, San Francisco, School of Medicine
| | - Amy J. Markowitz
- Department of Neurosurgery, University of California, San Francisco, School of Medicine
| | - David O. Okonkwo
- Department of Neurosurgery, University of Pittsburgh School of Medicine
| | - Alex B. Valadka
- Department of Neurosurgery, Virginia Commonwealth University School of Medicine
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD
| | - Geoffrey T. Manley
- Department of Neurosurgery, University of California, San Francisco, School of Medicine
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50
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Hsia RY, Markowitz AJ, Lin F, Guo J, Madhok DY, Manley GT. Ten-year trends in traumatic brain injury: a retrospective cohort study of California emergency department and hospital revisits and readmissions. BMJ Open 2018; 8:e022297. [PMID: 30552250 PMCID: PMC6303631 DOI: 10.1136/bmjopen-2018-022297] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 09/21/2018] [Accepted: 10/05/2018] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE To describe visits and visit rates of adults presenting to emergency departments (EDs) with a diagnosis of traumatic brain injury (TBI). TBI is a major cause of death and disability in the USA; yet, current literature is limited because few studies examine longer-term ED revisits and hospital readmission patterns of TBI patients across a broad spectrum of injury severity, which can help inform potential unmet healthcare needs. DESIGN We performed a retrospective cohort study. SETTING We analysed non-public patient-level data from California's Office of Statewide Health Planning and Development for years 2005 to 2014. PARTICIPANTS We identified 1.2 million adult patients aged ≥18 years presenting to California EDs and hospitals with an index diagnosis of TBI. PRIMARY AND SECONDARY OUTCOME MEASURES Our main outcomes included revisits, readmissions and mortality over time. We also examined demographics, mechanism and severity of injury and disposition at discharge. RESULTS We found a 57.7% increase in the number of TBI ED visits, representing a 40.5% increase in TBI visit rates over the 10-year period (346-487 per 100 000 residents). During this time, there was also a 33.8% decrease in the proportion of patients admitted to the hospital. Older, publicly insured and black populations had the highest visit rates, and falls were the most common mechanism of injury (45.5% of visits). Of all patients with an index TBI visit, 40.5% of them had a revisit during the first year, with 46.7% of them seeking care at a different hospital from their initial hospital or ED visit. Additionally, of revisits within the first year, 13.4% of them resulted in hospital readmission. CONCLUSIONS The large proportion of patients with TBI who are discharged directly from the ED, along with the high rates of revisits and readmissions, suggest a role for an established system for follow-up, treatment and care of TBI.
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Affiliation(s)
- Renee Y Hsia
- Department of Emergency Medicine, University of California, San Francisco, San Francisco, California, USA
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
| | - Amy J Markowitz
- Brain and Spinal Injury Center (BASIC), University of California, San Francisco, San Francisco, California, USA
| | - Feng Lin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Joanna Guo
- Department of Emergency Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Debbie Y Madhok
- Department of Emergency Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
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