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Sanders WR, Barber JK, Temkin NR, Foreman B, Giacino JT, Williamson T, Edlow BL, Manley GT, Bodien YG. Recovery Potential in Patients Who Died After Withdrawal of Life-Sustaining Treatment: A TRACK-TBI Propensity Score Analysis. J Neurotrauma 2024. [PMID: 38739032 DOI: 10.1089/neu.2024.0014] [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: 05/14/2024] Open
Abstract
Among patients with severe traumatic brain injury (TBI), there is high prognostic uncertainty but growing evidence that recovery of independence is possible. Nevertheless, families are often asked to make decisions about withdrawal of life-sustaining treatment (WLST) within days of injury. The range of potential outcomes for patients who died after WLST (WLST+) is unknown, posing a challenge for prognostic modeling and clinical counseling. We investigated the potential for survival and recovery of independence after acute TBI in patients who died after WLST. We used Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) data and propensity score matching to pair participants with WLST+ to those with a similar probability of WLST (based on demographic and clinical characteristics), but for whom life-sustaining treatment was not withdrawn (WLST-). To optimize matching, we divided the WLST- cohort into tiers (Tier 1 = 0-11%, Tier 2 = 11-27%, Tier 3 = 27-70% WLST propensity). We estimated the level of recovery that could be expected in WLST+ participants by evaluating 3-, 6-, and 12-month Glasgow Outcome Scale-Extended (GOSE) and Disability Rating Scale outcomes in matched WLST- participants. Of 90 WLST+ participants (80% male, mean [standard deviation; SD] age = 59.2 [17.9] years, median [IQR] days to WLST = 5.4 [2.2, 11.7]), 80 could be matched to WLST- participants. Of 56 WLST- participants who were followed at 6 months, 31 (55%) died. Among survivors in the overall sample and survivors in Tiers 1 and 2, more than 30% recovered at least partial independence (GOSE ≥4). In Tier 3, recovery to GOSE ≥4 occurred at 12 months, but not 6 months, post-injury. These results suggest a substantial proportion of patients with TBI and WLST may have survived and achieved at least partial independence. However, death or severe disability is a common outcome when the probability of WLST is high. While further validation is needed, our findings support a more cautious clinical approach to WLST and more complete reporting on WLST in TBI studies.
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Affiliation(s)
- William R Sanders
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Jason K Barber
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, 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
| | - Theresa Williamson
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
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Weaver JA, Cogan AM, Kozlowski AJ, Grady-Dominguez P, O'Brien KA, Bodien YG, Graham J, Aichele S, Ford P, Kot T, Bender Pape TL, Mallinson T, Giacino JT. Interpreting Change in Disorders of Consciousness Using the Coma Recovery Scale-Revised. J Neurotrauma 2024. [PMID: 38613812 DOI: 10.1089/neu.2023.0567] [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: 04/15/2024] Open
Abstract
The purpose of this study was to differentiate clinically meaningful improvement or deterioration from normal fluctuations in patients with disorders of consciousness (DoC) following severe brain injury. We computed indices of responsiveness for the Coma Recovery Scale-Revised (CRS-R) using data from a clinical trial of 180 participants with DoC. We used CRS-R scores from baseline (enrollment in a clinical trial) and a 4-week follow-up assessment period for these calculations. To improve precision, we transformed ordinal CRS-R total scores (0-23 points) to equal-interval measures on a 0-100 unit scale using Rasch Measurement theory. Using the 0-100 unit total Rasch measures, we calculated distribution-based 0.5 standard deviation (SD) minimal clinically important difference, minimal detectable change using 95% confidence intervals, and conditional minimal detectable change using 95% confidence intervals. The distribution-based minimal clinically important difference evaluates group-level changes, whereas the minimal detectable change values evaluate individual-level changes. The minimal clinically important difference and minimal detectable change are derived using the overall variability across total measures at baseline and 4 weeks. The conditional minimal detectable change is generated for each possible pair of CRS-R Rasch person measures and accounts for variation in standard error across the scale. We applied these indices to determine the proportions of participants who made a change beyond measurement error within each of the two subgroups, based on treatment arm (amantadine hydrochloride or placebo) or categorization of baseline Rasch person measure to states of consciousness (i.e., unresponsive wakefulness syndrome and minimally conscious state). We compared the proportion of participants in each treatment arm who made a change according to the minimal detectable change and determined whether they also changed to another state of consciousness. CRS-R indices of responsiveness (using the 0-100 transformed scale) were as follows: 0.5SD minimal clinically important difference = 9 units, minimal detectable change = 11 units, and the conditional minimal detectable change ranged from 11 to 42 units. For the amantadine and placebo groups, 70% and 58% of participants showed change beyond measurement error using the minimal detectable change, respectively. For the unresponsive wakefulness syndrome and minimally conscious state groups, 54% and 69% of participants changed beyond measurement error using the minimal detectable change, respectively. Among 115 participants (64% of the total sample) who made a change beyond measurement error, 29 participants (25%) did not change state of consciousness. CRS-R indices of responsiveness can support clinicians and researchers in discerning when behavioral changes in patients with DoC exceed measurement error. Notably, the minimal detectable change can support the detection of patients who make a "true" change within or across states of consciousness. Our findings highlight that the continued use of ordinal scores may result in incorrect inferences about the degree and relevance of a change score.
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Affiliation(s)
- Jennifer A Weaver
- Department of Occupational Therapy, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Alison M Cogan
- Mrs. T. H. Chan Division of Occupational Science & Occupational Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, California, USA
| | | | - Patricia Grady-Dominguez
- Department of Occupational Therapy, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
| | | | - Yelena G Bodien
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - James Graham
- Department of Occupational Therapy, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Stephen Aichele
- Department of Human Development and Family Studies, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
- Faculty of Epidemiology, Colorado School of Public Health, Fort Collins, Colorado, USA
| | - Paige Ford
- Lived Experience Consultants, Department of Occupational Therapy, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Trisha Kot
- Lived Experience Consultants, Department of Occupational Therapy, College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Theresa L Bender Pape
- Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Trudy Mallinson
- Department of Clinical Research and Leadership, School of Medicine and Health Sciences, The George Washington University, Washington, District of Columbia, 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
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Edlow BL, Olchanyi M, Freeman HJ, Li J, Maffei C, Snider SB, Zöllei L, Iglesias JE, Augustinack J, Bodien YG, Haynes RL, Greve DN, Diamond BR, Stevens A, Giacino JT, Destrieux C, van der Kouwe A, Brown EN, Folkerth RD, Fischl B, Kinney HC. Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness. Sci Transl Med 2024; 16:eadj4303. [PMID: 38691619 DOI: 10.1126/scitranslmed.adj4303] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 04/10/2024] [Indexed: 05/03/2024]
Abstract
Consciousness is composed of arousal (i.e., wakefulness) and awareness. Substantial progress has been made in mapping the cortical networks that underlie awareness in the human brain, but knowledge about the subcortical networks that sustain arousal in humans is incomplete. Here, we aimed to map the connectivity of a proposed subcortical arousal network that sustains wakefulness in the human brain, analogous to the cortical default mode network (DMN) that has been shown to contribute to awareness. We integrated data from ex vivo diffusion magnetic resonance imaging (MRI) of three human brains, obtained at autopsy from neurologically normal individuals, with immunohistochemical staining of subcortical brain sections. We identified nodes of the proposed default ascending arousal network (dAAN) in the brainstem, hypothalamus, thalamus, and basal forebrain. Deterministic and probabilistic tractography analyses of the ex vivo diffusion MRI data revealed projection, association, and commissural pathways linking dAAN nodes with one another and with DMN nodes. Complementary analyses of in vivo 7-tesla resting-state functional MRI data from the Human Connectome Project identified the dopaminergic ventral tegmental area in the midbrain as a widely connected hub node at the nexus of the subcortical arousal and cortical awareness networks. Our network-based autopsy methods and connectivity data provide a putative neuroanatomic architecture for the integration of arousal and awareness in human consciousness.
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Affiliation(s)
- Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Mark Olchanyi
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Holly J Freeman
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Jian Li
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Chiara Maffei
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Samuel B Snider
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Lilla Zöllei
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - J Eugenio Iglesias
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Jean Augustinack
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Robin L Haynes
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Bram R Diamond
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Allison Stevens
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Christophe Destrieux
- UMR 1253, iBrain, Université de Tours, Inserm, 10 Boulevard Tonnellé, 37032, Tours, France
- CHRU de Tours, 2 Boulevard Tonnellé, Tours, France
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Emery N Brown
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | | | - Bruce Fischl
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Hannah C Kinney
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115, USA
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4
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Kitano T, Giacino JT, Bodien Y, Waters A, Hioki D, Shinya J, Nakayama T, Ohgi S. Reliability and validation of the Japanese version of the coma recovery scale-revised (CRS-R). Brain Inj 2024; 38:249-259. [PMID: 38329043 DOI: 10.1080/02699052.2024.2309549] [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] [Received: 06/15/2022] [Accepted: 01/19/2024] [Indexed: 02/09/2024]
Abstract
PRIMARY OBJECTIVE This study aimed to verify the reliability and validity of the Japanese version of the Coma Recovery Scale-Revised (CRS-R). METHODS Subjects included 59 patients with disorders of consciousness (DOC) due to acquired brain injury. To validate test-retest reliability, Evaluator A assessed the CRS-R twice on the same day (A1, A2). To examine inter-rater reliability, Evaluators A (A2) and B (B) assessed the CRS-R without a time interval. To test concurrent validity, Evaluator A (A1) assessed the CRS-R, Japan Coma Scale (JCS), and the Glasgow Coma Scale (GCS) consecutively. To validate diagnostic accuracy, we evaluated the degree of agreement between A1 and A2 and between A2 and B in their diagnosis of DOC by CRS-R. RESULTS The test-retest (ρ = 0.92) and inter- (ρ = 0.98) reliability of CRS-R were excellent" and Concurrent validity of CRS-R with JCS (ρ = -0.82) and GCS (ρ = 0.92) were high. Results of DOC diagnosis were consistent for 48/59 cases (κ = 0.82) for A1 and A2 and for 54/59 cases (κ = 0.92) for A2 and B. CONLCUSION The Japanese version of the CRS-R may be as reliable and valid as the original English and other language versions.
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Affiliation(s)
- Takayuki Kitano
- Department of Rehabilitation, Hamamatsu Medical Center, Hamamatsu City, Shizuoka Prefecture, Japan
| | - 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
| | - Yelena Bodien
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - Abigail Waters
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - Daichi Hioki
- Department of Rehabilitation, Hamamatsu Medical Center, Hamamatsu City, Shizuoka Prefecture, Japan
| | - Junko Shinya
- Department of Rehabilitation, Hamamatsu Medical Center, Hamamatsu City, Shizuoka Prefecture, Japan
| | - Teiji Nakayama
- Department of Neurosurgery, Hamamatsu Medical Center, Hamamatsu City, Shizuoka Prefecture, Japan
| | - Shohei Ohgi
- Faculty of Rehabilitation Studies, Seirei Christopher University, Hamamatsu City, Shizuoka Prefecture, Japan
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Golden K, Borsi L, Sterling A, Giacino JT. Recovery after moderate to severe TBI and factors influencing functional outcome: What you need to know. J Trauma Acute Care Surg 2024:01586154-990000000-00648. [PMID: 38439156 DOI: 10.1097/ta.0000000000004305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
LEVEL OF EVIDENCE Regular Review, Level V.
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Affiliation(s)
| | - Lydia Borsi
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA
| | - Ally Sterling
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA
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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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Golden K, Bodien YG, Giacino JT. Disorders of Consciousness: Classification and Taxonomy. Phys Med Rehabil Clin N Am 2024; 35:15-33. [PMID: 37993185 DOI: 10.1016/j.pmr.2023.06.011] [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: 11/24/2023]
Abstract
In this article, we discuss the taxonomy associated with the four major disorders of consciousness (DoC): coma, vegetative state or unresponsive wakefulness syndrome, minimally conscious state, and post-traumatic confusional state. We briefly review the history of each disorder and then provide operational definitions and diagnostic criteria for each one. We rely heavily on recently released practice guidelines and, where appropriate, identify knowledge gaps and discuss future directions to advance DoC research and practice.
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Affiliation(s)
- Katherine Golden
- School of Health & Rehabilitation Sciences, MGH Institute of Health Professions, 36 1st Avenue, Boston, MA 02129, USA
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, 300 1st Avenue, Charlestown, MA, 02129, USA; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, 25 Shattuck Street, Boston, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, 300 1st Avenue, Charlestown, MA, 02129, USA; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA.
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8
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Kroenke K, Corrigan JD, Ralston RK, Zafonte R, Brunner RC, Giacino JT, Hoffman JM, Esterov D, Cifu DX, Mellick DC, Bell K, Scott SG, Sander AM, Hammond FM. Effectiveness of care models for chronic disease management: A scoping review of systematic reviews. PM R 2024; 16:174-189. [PMID: 37329557 DOI: 10.1002/pmrj.13027] [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] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/14/2023] [Accepted: 05/31/2023] [Indexed: 06/19/2023]
Abstract
OBJECTIVE To conduct a scoping review of models of care for chronic disease management to identify potentially effective components for management of chronic traumatic brain injury (TBI). METHODS Information sources: Systematic searches of three databases (Ovid MEDLINE, Embase, and Cochrane Database of Systematic Reviews) from January 2010 to May 2021. ELIGIBILITY CRITERIA Systematic reviews and meta-analyses reporting on the effectiveness of the Chronic Care Model (CCM), collaborative/integrated care, and other chronic disease management models. DATA Target diseases, model components used (n = 11), and six outcomes (disease-specific, generic health-related quality of life and functioning, adherence, health knowledge, patient satisfaction, and cost/health care use). SYNTHESIS Narrative synthesis, including proportion of reviews documenting outcome benefits. RESULTS More than half (55%) of the 186 eligible reviews focused on collaborative/integrated care models, with 25% focusing on CCM and 20% focusing on other chronic disease management models. The most common health conditions were diabetes (n = 22), depression (n = 16), heart disease (n = 12), aging (n = 11), and kidney disease (n = 8). Other single medical conditions were the focus of 22 reviews, multiple medical conditions of 59 reviews, and other or mixed mental health/behavioral conditions of 20 reviews. Some type of quality rating for individual studies was conducted in 126 (68%) of the reviews. Of reviews that assessed particular outcomes, 80% reported disease-specific benefits, and 57% to 72% reported benefits for the other five types of outcomes. Outcomes did not differ by the model category, number or type of components, or target disease. CONCLUSIONS Although there is a paucity of evidence for TBI per se, care model components proven effective for other chronic diseases may be adaptable for chronic TBI care.
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Affiliation(s)
- Kurt Kroenke
- Department of Medicine, Indiana School of Medicine and Regenstrief Institute, Indianapolis, Indiana, USA
| | - John D Corrigan
- Department of Physical Medicine & Rehabilitation, The Ohio State University, Columbus, Ohio, USA
| | - Rick K Ralston
- Ruth Lilly Medical Library, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, and Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA
| | - Robert C Brunner
- Department of Physical Medicine and Rehabilitation, University of Alabama, Birmingham, Alabama, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, and Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA
| | - Jeanne M Hoffman
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Dmitry Esterov
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA
| | - David X Cifu
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, Virginia, USA
- U.S. Department of Veterans Affairs, Washington, DC, USA
| | | | - Kathleen Bell
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern, Dallas, Texas, USA
| | - Steven G Scott
- Center of Innovation on Disability & Rehab Research (CINDRR), James A Haley Veterans' Hospital, Tampa, Florida, USA
| | - Angelle M Sander
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, and Brain Injury Research Center, TIRR Memorial Hermann, Houston, Texas, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Tinti L, Lawson T, Molteni E, Kondziella D, Rass V, Sharshar T, Bodien YG, Giacino JT, Mayer SA, Amiri M, Muehlschlegel S, Venkatasubba Rao CP, Vespa PM, Menon DK, Citerio G, Helbok R, McNett M. Research considerations for prospective studies of patients with coma and disorders of consciousness. Brain Commun 2024; 6:fcae022. [PMID: 38344653 PMCID: PMC10853976 DOI: 10.1093/braincomms/fcae022] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 01/04/2024] [Accepted: 01/26/2024] [Indexed: 03/02/2024] Open
Abstract
Disorders of consciousness are neurological conditions characterized by impaired arousal and awareness of self and environment. Behavioural responses are absent or are present but fluctuate. Disorders of consciousness are commonly encountered as a consequence of both acute and chronic brain injuries, yet reliable epidemiological estimates would require inclusive, operational definitions of the concept, as well as wider knowledge dissemination among involved professionals. Whereas several manifestations have been described, including coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state, a comprehensive neurobiological definition for disorders of consciousness is still lacking. The scientific literature is primarily observational, and studies-specific aetiologies lead to disorders of consciousness. Despite advances in these disease-related forms, there remains uncertainty about whether disorders of consciousness are a disease-agnostic unitary entity with a common mechanism, prognosis or treatment response paradigm. Our knowledge of disorders of consciousness has also been hampered by heterogeneity of study designs, variables, and outcomes, leading to results that are not comparable for evidence synthesis. The different backgrounds of professionals caring for patients with disorders of consciousness and the different goals at different stages of care could partly explain this variability. The Prospective Studies working group of the Neurocritical Care Society Curing Coma Campaign was established to create a platform for observational studies and future clinical trials on disorders of consciousness and coma across the continuum of care. In this narrative review, the author panel presents limitations of prior observational clinical research and outlines practical considerations for future investigations. A narrative review format was selected to ensure that the full breadth of study design considerations could be addressed and to facilitate a future consensus-based statement (e.g. via a modified Delphi) and series of recommendations. The panel convened weekly online meetings from October 2021 to December 2022. Research considerations addressed the nosographic status of disorders of consciousness, case ascertainment and verification, selection of dependent variables, choice of covariates and measurement and analysis of outcomes and covariates, aiming to promote more homogeneous designs and practices in future observational studies. The goal of this review is to inform a broad community of professionals with different backgrounds and clinical interests to address the methodological challenges imposed by the transition of care from acute to chronic stages and to streamline data gathering for patients with disorders of consciousness. A coordinated effort will be a key to allow reliable observational data synthesis and epidemiological estimates and ultimately inform condition-modifying clinical trials.
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Affiliation(s)
- Lorenzo Tinti
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20156, Italy
| | - Thomas Lawson
- Critical Care, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Erika Molteni
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EU, UK
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen 2200, Denmark
| | - Verena Rass
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Tarek Sharshar
- Neuro-Intensive Care Medicine, Anaesthesiology and ICU Department, GHU-Psychiatry and Neurosciences, Pole Neuro, Sainte-Anne Hospital, Institute of Psychiatry and Neurosciences of Paris, INSERM U1266, Université Paris Cité, Paris 75006, France
| | - Yelena G Bodien
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Charlestown, MA 02129, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Charlestown, MA 02129, USA
| | - Stephan A Mayer
- Department of Neurology, New York Medical College, Valhalla, NY 10595, USA
- Department of Neurosurgery, New York Medical College, Valhalla, NY 10595, USA
| | - Moshgan Amiri
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Susanne Muehlschlegel
- Department of Neurology and Anesthesiology/Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Chethan P Venkatasubba Rao
- Division of Vascular Neurology and Neurocritical Care, Baylor College of Medicine and CHI Baylor St Luke’s Medical Center, Houston, TX 77030, USA
| | - Paul M Vespa
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Cambridge CB2 1TN, UK
| | - Giuseppe Citerio
- NeuroIntensive Care, IRCSS Fondazione San Gerardo dei Tintori, Monza 20900, Italy
- School of Medicine and Surgery, Università Milano Bicocca, Milan 20854, Italy
| | - Raimund Helbok
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck, Innsbruck 6020, Austria
- Department of Neurology, Johannes Kepler University, Linz 4040, Austria
| | - Molly McNett
- College of Nursing, The Ohio State University, Columbus, OH 43210, USA
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10
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Dhakal K, Rosenthal ES, Kulpanowski AM, Dodelson JA, Wang Z, Cudemus-Deseda G, Villien M, Edlow BL, Presciutti AM, Januzzi JL, Ning M, Taylor Kimberly W, Amorim E, Brandon Westover M, Copen WA, Schaefer PW, Giacino JT, Greer DM, Wu O. Increased task-relevant fMRI responsiveness in comatose cardiac arrest patients is associated with improved neurologic outcomes. J Cereb Blood Flow Metab 2024; 44:50-65. [PMID: 37728641 PMCID: PMC10905635 DOI: 10.1177/0271678x231197392] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 09/21/2023]
Abstract
Early prediction of the recovery of consciousness in comatose cardiac arrest patients remains challenging. We prospectively studied task-relevant fMRI responses in 19 comatose cardiac arrest patients and five healthy controls to assess the fMRI's utility for neuroprognostication. Tasks involved instrumental music listening, forward and backward language listening, and motor imagery. Task-specific reference images were created from group-level fMRI responses from the healthy controls. Dice scores measured the overlap of individual subject-level fMRI responses with the reference images. Task-relevant responsiveness index (Rindex) was calculated as the maximum Dice score across the four tasks. Correlation analyses showed that increased Dice scores were significantly associated with arousal recovery (P < 0.05) and emergence from the minimally conscious state (EMCS) by one year (P < 0.001) for all tasks except motor imagery. Greater Rindex was significantly correlated with improved arousal recovery (P = 0.002) and consciousness (P = 0.001). For patients who survived to discharge (n = 6), the Rindex's sensitivity was 75% for predicting EMCS (n = 4). Task-based fMRI holds promise for detecting covert consciousness in comatose cardiac arrest patients, but further studies are needed to confirm these findings. Caution is necessary when interpreting the absence of task-relevant fMRI responses as a surrogate for inevitable poor neurological prognosis.
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Affiliation(s)
- Kiran Dhakal
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Annelise M Kulpanowski
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Jacob A Dodelson
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Zihao Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Gaston Cudemus-Deseda
- Department of Cardiac Anesthesiology and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Marjorie Villien
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Brian L Edlow
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Alexander M Presciutti
- Department of Psychiatry, Center for Health Outcomes and Interdisciplinary Research, Massachusetts General Hospital, Boston, MA, USA
| | - James L Januzzi
- Department of Medicine, Cardiology Division, Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, MA, USA
| | - MingMing Ning
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - W Taylor Kimberly
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Edilberto Amorim
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - William A Copen
- Department of Radiology, Neuroradiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - Pamela W Schaefer
- Department of Radiology, Neuroradiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
| | - David M Greer
- Department of Neurology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Ona Wu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
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11
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Eagle SR, Jain S, Sun X, Preszler J, McCrea MA, Giacino JT, Manley GT, Okonkwo DO, Nelson LD. Network analysis and relationship of symptom factors to functional outcomes and quality of life following mild traumatic brain injury: a TRACK-TBI study. Front Neurol 2023; 14:1308540. [PMID: 38148980 PMCID: PMC10750770 DOI: 10.3389/fneur.2023.1308540] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 11/23/2023] [Indexed: 12/28/2023] Open
Abstract
Introduction Mild traumatic brain injury (mTBI) is a heterogenous injury which can be difficult to characterize and manage. Using cross-sectional network analysis (NA) to conceptualize mTBI symptoms offers an innovative solution to identify how mTBI symptoms relate to each other. The centrality hypothesis of network theory posits that certain symptoms in a network are more relevant (central) or have above average influence over the rest of the network. However, no studies have used NA to characterize the interrelationships between symptoms in a cohort of patients who presented with mTBI to a U.S. Level 1 trauma center emergency department and how subacute central symptoms relate to long-term outcomes. Methods Patients with mTBI (Glasgow Coma Scale = 13-15) evaluated across 18 U.S. Level 1 trauma centers from 2013 to 2019 completed the Rivermead Post-Concussion Symptoms Questionnaire (RPQ) at 2 weeks (W2) post-injury (n = 1,593) and at 3 months (M3), 6 months (M6), and 12 months (M12) post-injury. Network maps were developed from RPQ subscale scores at each timepoint. RPQ scores at W2 were associated with M6 and M12 functional and quality of life outcomes. Results Network structure did not differ across timepoints, indicating no difference in symptoms/factors influence on the overall symptom network across time. The cognitive factor had the highest expected influence at W2 (1.761), M3 (1.245), and M6 (1.349). Fatigue had the highest expected influence at M12 (1.275). The emotional factor was the only other node with expected influence >1 at any timepoint, indicating disproportionate influence of emotional symptoms on overall symptom burden (M3 = 1.011; M6 = 1.076). Discussion Several symptom factors at 2-weeks post-injury were more strongly associated with incomplete recovery and/or poorer injury-related quality of life at 6 and 12 months post-injury than previously validated demographic and clinical covariates. The network analysis suggests that emotional, cognitive, and fatigue symptoms may be useful treatment targets in this population due to high centrality and activating potential of the overall symptom network.
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Affiliation(s)
- Shawn R. Eagle
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Sonia Jain
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States
| | - Xiaoying Sun
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States
| | | | | | - Joseph T. Giacino
- Physical Medicine and Rehabilitation, Harvard University, Cambridge, MA, United States
| | - Geoffrey T. Manley
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, United States
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States
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12
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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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13
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Schiff ND, Giacino JT, Butson CR, Choi EY, Baker JL, O'Sullivan KP, Janson AP, Bergin M, Bronte-Stewart HM, Chua J, DeGeorge L, Dikmen S, Fogarty A, Gerber LM, Krel M, Maldonado J, Radovan M, Shah SA, Su J, Temkin N, Tourdias T, Victor JD, Waters A, Kolakowsky-Hayner SA, Fins JJ, Machado AG, Rutt BK, Henderson JM. Thalamic deep brain stimulation in traumatic brain injury: a phase 1, randomized feasibility study. Nat Med 2023; 29:3162-3174. [PMID: 38049620 PMCID: PMC11087147 DOI: 10.1038/s41591-023-02638-4] [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] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 10/10/2023] [Indexed: 12/06/2023]
Abstract
Converging evidence indicates that impairments in executive function and information-processing speed limit quality of life and social reentry after moderate-to-severe traumatic brain injury (msTBI). These deficits reflect dysfunction of frontostriatal networks for which the central lateral (CL) nucleus of the thalamus is a critical node. The primary objective of this feasibility study was to test the safety and efficacy of deep brain stimulation within the CL and the associated medial dorsal tegmental (CL/DTTm) tract.Six participants with msTBI, who were between 3 and 18 years post-injury, underwent surgery with electrode placement guided by imaging and subject-specific biophysical modeling to predict activation of the CL/DTTm tract. The primary efficacy measure was improvement in executive control indexed by processing speed on part B of the trail-making test.All six participants were safely implanted. Five participants completed the study and one was withdrawn for protocol non-compliance. Processing speed on part B of the trail-making test improved 15% to 52% from baseline, exceeding the 10% benchmark for improvement in all five cases.CL/DTTm deep brain stimulation can be safely applied and may improve executive control in patients with msTBI who are in the chronic phase of recovery.ClinicalTrials.gov identifier: NCT02881151 .
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Affiliation(s)
- Nicholas D Schiff
- Feil Family Brain Mind Institute, Weill Cornell Medicine, New York, NY, USA.
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA.
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Christopher R Butson
- Scientific Computing and Imaging Institute Department of Bioengineering, University of Utah, Salt Lake City, UT, USA
- Norman Fixel Institute for Neurological Diseases Departments of Neurology and Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Eun Young Choi
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - Jonathan L Baker
- Feil Family Brain Mind Institute, Weill Cornell Medicine, New York, NY, USA
| | - Kyle P O'Sullivan
- Scientific Computing and Imaging Institute Department of Bioengineering, University of Utah, Salt Lake City, UT, USA
| | - Andrew P Janson
- Scientific Computing and Imaging Institute Department of Bioengineering, University of Utah, Salt Lake City, UT, USA
- Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Michael Bergin
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA, USA
| | | | - Jason Chua
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Laurel DeGeorge
- Feil Family Brain Mind Institute, Weill Cornell Medicine, New York, NY, USA
| | - Sureyya Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Adam Fogarty
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - Linda M Gerber
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Mark Krel
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - Jose Maldonado
- Department of Psychiatry, Stanford University, Stanford, CA, USA
| | - Matthew Radovan
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Sudhin A Shah
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Jason Su
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Thomas Tourdias
- Department of Neuroimaging, University of Bordeaux, Nouvelle-Aquitaine, France
| | - Jonathan D Victor
- Feil Family Brain Mind Institute, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Abigail Waters
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA, USA
| | | | - Joseph J Fins
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Andre G Machado
- Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Brian K Rutt
- Department of Radiology, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Bio-X Program, Stanford University, Stanford, CA, USA
| | - Jaimie M Henderson
- Department of Neurosurgery, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
- Bio-X Program, Stanford University, Stanford, CA, USA.
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14
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Yakhkind A, Niznick N, Bodien YG, Hammond FM, Katz D, Luaute J, McNett M, Naccache L, O'Brien K, Schnakers C, Sharshar T, Slomine BS, Giacino JT. Correction: Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Behavioral Phenotyping. Neurocrit Care 2023:10.1007/s12028-023-01874-3. [PMID: 37923969 DOI: 10.1007/s12028-023-01874-3] [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: 11/06/2023]
Affiliation(s)
- Aleksandra Yakhkind
- Department of Neurology, Tufts University School of Medicine, Boston, MA, USA
| | - Naomi Niznick
- Department of Medicine (Critical Care), The Ottawa Hospital, Ottawa, Canada
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Douglas Katz
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, and Brain Injury Program, Encompass Health Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Jacques Luaute
- Department of Neuro-Rehabilitation, Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Molly McNett
- College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Lionel Naccache
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau, ICM, INSERM, CNRS, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Katherine O'Brien
- TIRR Disorders of Consciousness Program, TIRR Memorial Hermann Hospital, H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Caroline Schnakers
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, USA
| | - Tarek Sharshar
- Neurosciences, Pole Neuro, Sainte-Anne Hospital, Institute of Psychiatry and Neurosciences of Paris, INSERM U1266, Université Paris Cité, Paris, France
| | - Beth S Slomine
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA.
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA.
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15
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Bodien YG, Beaulieu CL, Giacino JT, Weintraub A, Whyte J, Williams MW. How Severe Is Severe Disability After Traumatic Brain Injury? Response to Sarigul B et al., Prognostication and goals of care decisions in Severe traumatic brain injury: A survey of the Seattle International Severe Traumatic Brain Injury Consensus Conference Working Group (DOI: 10.1089/neu.2022.0414). J Neurotrauma 2023; 40:2449-2451. [PMID: 37476969 PMCID: PMC10649169 DOI: 10.1089/neu.2023.0275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2023] Open
Affiliation(s)
- Yelena G. Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - Cynthia L. Beaulieu
- Department of Physical Medicine and Rehabilitation, The Ohio State University College of Medicine, Columbus, Ohio, 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
| | - Alan Weintraub
- Neurotrauma Rehabilitation Associates LLC, Englewood, Colorado, USA
| | - John Whyte
- Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, USA
| | - Michael W. Williams
- TIRR Memorial Hermann, Brain Injury Research Center, Houston, Texas, USA
- Department of Psychology, University of Houston, Houston, Texas, USA
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16
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Bodien YG, Vora I, Barra A, Chiang K, Chatelle C, Goostrey K, Martens G, Malone C, Mello J, Parlman K, Ranford J, Sterling A, Waters AB, Hirschberg R, Katz DI, Mazwi N, Ni P, Velmahos G, Waak K, Edlow BL, Giacino JT. Feasibility and Validity of the Coma Recovery Scale-Revised for Accelerated Standardized Testing: A Practical Assessment Tool for Detecting Consciousness in the Intensive Care Unit. Ann Neurol 2023; 94:919-924. [PMID: 37488068 DOI: 10.1002/ana.26740] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/11/2023] [Accepted: 07/15/2023] [Indexed: 07/26/2023]
Abstract
We developed and validated an abbreviated version of the Coma Recovery Scale-Revised (CRS-R), the CRS-R For Accelerated Standardized Testing (CRSR-FAST), to detect conscious awareness in patients with severe traumatic brain injury in the intensive care unit. In 45 consecutively enrolled patients, CRSR-FAST administration time was approximately one-third of the full-length CRS-R (mean [SD] 6.5 [3.3] vs 20.1 [7.2] minutes, p < 0.0001). Concurrent validity (simple kappa 0.68), test-retest (Mak's ρ = 0.76), and interrater (Mak's ρ = 0.91) reliability were substantial. Sensitivity, specificity, and accuracy for detecting consciousness were 81%, 89%, and 84%, respectively. The CRSR-FAST facilitates serial assessment of consciousness, which is essential for diagnostic and prognostic accuracy. ANN NEUROL 2023;94:919-924.
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Affiliation(s)
- Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Isha Vora
- Department of Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA, USA
| | - Alice Barra
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Coma GIGA Science Group, University of Liege, Liege, Belgium
| | - Kevin Chiang
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Camille Chatelle
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Coma GIGA Science Group, University of Liege, Liege, Belgium
| | - Kelsey Goostrey
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Geraldine Martens
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Coma GIGA Science Group, University of Liege, Liege, Belgium
- Department of Surgery, University of Montréal, Montréal, QC, Canada
| | - Christopher Malone
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Jennifer Mello
- Department of Speech-language and Swallowing, Massachusetts General Hospital, Boston, MA, USA
| | - Kristin Parlman
- Department of Physical Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Jessica Ranford
- Department of Occupational Therapy, Massachusetts General Hospital Boston, Boston, MA, USA
| | - Ally Sterling
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Abigail B Waters
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Ronald Hirschberg
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Douglas I Katz
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Encompass Health Braintree Rehabilitation, Braintree, MA, USA
| | - Nicole Mazwi
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Pengsheng Ni
- Biostatistics & Epidemiology Data Analytic Center, Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA
| | - George Velmahos
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Karen Waak
- Department of Physical Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
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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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18
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Yakhkind A, Niznick N, Bodien YG, Hammond FM, Katz D, Luaute J, McNett M, Naccache L, O'Brien K, Schnakers C, Sharshar T, Slomine BS, Giacino JT. Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Behavioral Phenotyping. Neurocrit Care 2023:10.1007/s12028-023-01844-9. [PMID: 37726548 DOI: 10.1007/s12028-023-01844-9] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND The recent publication of practice guidelines for management of patients with disorders of consciousness (DoC) in the United States and Europe was a major step forward in improving the accuracy and consistency of terminology, diagnostic criteria, and prognostication in this population. There remains a pressing need for a more precise brain injury classification system that combines clinical semiology with neuroimaging, electrophysiologic, and other biomarker data. To address this need, the National Institute of Neurological Disorders and Stroke launched the Common Data Elements (CDEs) initiative to facilitate systematic collection of high-quality research data in studies involving patients with neurological disease. The Neurocritical Care Society's Curing Coma Campaign expanded this effort in 2018 to develop CDEs for DoC. Herein, we present CDE recommendations for behavioral phenotyping of patients with DoC. METHODS The Behavioral Phenotyping Workgroup used a preestablished, five-step process to identify and select candidate CDEs that included review of existing National Institute of Neurological Disorders and Stroke CDEs, nomination and systematic vetting of new CDEs, CDE classification, iterative review, and approval of panel recommendations and development of corresponding case review forms. RESULTS We identified a slate of existing and newly proposed basic, supplemental, and exploratory CDEs that can be used for behavioral phenotyping of adult and pediatric patients with DoC. CONCLUSIONS The proposed behavioral phenotyping CDEs will assist with international harmonization of DoC studies and allow for more precise characterization of study cohorts, favorably impacting observational studies and clinical trials aimed at improving outcome in this population.
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Affiliation(s)
- Aleksandra Yakhkind
- Department of Neurology, Tufts University School of Medicine, Boston, MA, USA
| | - Naomi Niznick
- Department of Medicine (Critical Care), The Ottawa Hospital, Ottawa, Canada
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Douglas Katz
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, and Brain Injury Program, Encompass Health Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Jacques Luaute
- Department of Neuro-Rehabilitation, Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Molly McNett
- College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Lionel Naccache
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau, ICM, INSERM, CNRS, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Katherine O'Brien
- TIRR Disorders of Consciousness Program, TIRR Memorial Hermann Hospital, H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Caroline Schnakers
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, USA
| | - Tarek Sharshar
- Neurosciences, Pole Neuro, Sainte-Anne Hospital, Institute of Psychiatry and Neurosciences of Paris, INSERM U1266, Université Paris Cité, Paris, France
| | - Beth S Slomine
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA.
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA.
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19
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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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20
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Brett BL, Temkin N, Barber JK, Okonkwo DO, Stein M, Bodien YG, Corrigan J, Diaz-Arrastia R, Giacino JT, McCrea MA, Manley GT, Nelson LD. Long-term Multidomain Patterns of Change After Traumatic Brain Injury: A TRACK-TBI LONG Study. Neurology 2023; 101:e740-e753. [PMID: 37344231 PMCID: PMC10437015 DOI: 10.1212/wnl.0000000000207501] [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] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 04/21/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Traumatic brain injury (TBI) may be a chronic condition carrying risk of future sequelae; few prospective studies examine long-term postinjury outcomes. We examined the prevalence of functional, cognitive, and psychiatric change outcomes from 1 to 7 years postinjury. METHODS Transforming Research and Clinical Knowledge in TBI LONG (TRACK-TBI LONG) participants were prospectively enrolled within 24 hours of injury and followed up to 1 year postinjury; a subset participated in long-term follow-up from 2 to 7 years postinjury. Reliable change thresholds for the Brief Test of Adult Cognition by Telephone General Composite (cognition) and Brief Symptom Inventory (BSI)-18 (psychiatric) were derived from orthopedic trauma controls (OTCs). Multiple assessments were completed (postinjury baseline assessment and 2 or 3 visits 2-7 years postinjury) within a sample subset. Change was assessed for functional outcome (Glasgow Outcome Scale-Extended [GOSE]) and self-report/informant report of decline. Prevalence ratios for outcomes classified as stable, improved, and declined were reported individually and collectively. The Fisher exact test and log-binomial regression models examined factors associated with decline and improvement. RESULTS Of the sample (N = 1,264; mild TBI [mTBI], Glasgow Coma Scale [GCS] 13-15, n = 917; moderate-to-severe TBI [msTBI], GCS 3-12, n = 193; or OTC n = 154), "stable" was the most prevalent outcome. Functional outcome showed the highest rates of decline, regardless of TBI severity (mild = 29%; moderate/severe = 23%). When measures were collectively considered, rates of decline included mTBI (21%), msTBI (26%), and OTC (15%). Age and preinjury employment status were associated with functional decline (per 10 years; relative risk [RR] 1.16, 95% CI 1.07-1.25, p < 0.001; higher in retired/disabled/not working vs full-time/part-time; RR 1.81, 95% CI 1.33-2.45, respectively) in the mTBI group. Improvement in functional recovery 2-7 years postinjury was associated with higher BSI scores (per 5 points; RR 1.11, 95% CI 1.04-1.18, p = 0.002) and GOSE score of 5-7 (GOSE = 8 as reference; RR 2.64, 95% CI 1.75-3.97, p < 0.001). Higher BSI scores and identifying as Black (RR 2.28, 95% CI 1.59-3.25, p < 0.001) were associated with a greater likelihood of improved psychiatric symptoms in mTBI (RR 1.21, 95% CI 1.14-1.29, p < 0.001). A greater likelihood of cognitive improvement was observed among those with higher educational attainment in msTBI (per 4 years; RR 2.61, 95% CI 1.43-4.79, p = 0.002). DISCUSSION Function across domains at 1-year postinjury, a common recovery benchmark, undergoes change across the subsequent 6 years. Results support consideration of TBI as a chronic evolving condition and suggest continued monitoring, rehabilitation, and support is required to optimize long-term independence and quality of life.
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Affiliation(s)
- Benjamin L Brett
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.).
| | - Nancy Temkin
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Jason K Barber
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - David O Okonkwo
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Murray Stein
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Yelena G Bodien
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - John Corrigan
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Ramon Diaz-Arrastia
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Joseph T Giacino
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Michael A McCrea
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Geoffrey T Manley
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
| | - Lindsay D Nelson
- From the Medical College of Wisconsin (B.L.B., M.A.M., L.D.N.), Milwaukee; University of Washington (N.T., J.K.B.), Seattle; University of Pittsburgh Medical Center (D.O.O.), PA; University of California San Diego (M.S.), La Jolla; Massachusetts General Hospital and Harvard Medical School (Y.G.B., J.T.G.), Boston; The Ohio State University Wexner Medical Center (J.C.), Columbus; University of Pennsylvania (R.D.-A.), Philadelphia; and University of California, San Francisco (G.T.M.)
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21
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Edlow BL, Olchanyi M, Freeman HJ, Li J, Maffei C, Snider SB, Zöllei L, Iglesias JE, Augustinack J, Bodien YG, Haynes RL, Greve DN, Diamond BR, Stevens A, Giacino JT, Destrieux C, van der Kouwe A, Brown EN, Folkerth RD, Fischl B, Kinney HC. Sustaining wakefulness: Brainstem connectivity in human consciousness. bioRxiv 2023:2023.07.13.548265. [PMID: 37502983 PMCID: PMC10369992 DOI: 10.1101/2023.07.13.548265] [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] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Consciousness is comprised of arousal (i.e., wakefulness) and awareness. Substantial progress has been made in mapping the cortical networks that modulate awareness in the human brain, but knowledge about the subcortical networks that sustain arousal is lacking. We integrated data from ex vivo diffusion MRI, immunohistochemistry, and in vivo 7 Tesla functional MRI to map the connectivity of a subcortical arousal network that we postulate sustains wakefulness in the resting, conscious human brain, analogous to the cortical default mode network (DMN) that is believed to sustain self-awareness. We identified nodes of the proposed default ascending arousal network (dAAN) in the brainstem, hypothalamus, thalamus, and basal forebrain by correlating ex vivo diffusion MRI with immunohistochemistry in three human brain specimens from neurologically normal individuals scanned at 600-750 μm resolution. We performed deterministic and probabilistic tractography analyses of the diffusion MRI data to map dAAN intra-network connections and dAAN-DMN internetwork connections. Using a newly developed network-based autopsy of the human brain that integrates ex vivo MRI and histopathology, we identified projection, association, and commissural pathways linking dAAN nodes with one another and with cortical DMN nodes, providing a structural architecture for the integration of arousal and awareness in human consciousness. We release the ex vivo diffusion MRI data, corresponding immunohistochemistry data, network-based autopsy methods, and a new brainstem dAAN atlas to support efforts to map the connectivity of human consciousness.
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Affiliation(s)
- Brian L. Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Mark Olchanyi
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Holly J. Freeman
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Jian Li
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Chiara Maffei
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Samuel B. Snider
- Department of Neurology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Lilla Zöllei
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - J. Eugenio Iglesias
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Jean Augustinack
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Yelena G. Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA 02129 USA
| | - Robin L. Haynes
- Department of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Douglas N. Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Bram R. Diamond
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Allison Stevens
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA 02129 USA
| | - Christophe Destrieux
- UMR 1253, iBrain, Université de Tours, Inserm, 10 Boulevard Tonnellé, 37032, Tours, France
- CHRU de Tours, 2 Boulevard Tonnellé, Tours, France
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
| | - Emery N. Brown
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Bruce Fischl
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA 02129, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hannah C. Kinney
- Department of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
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22
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Juengst SB, Agtarap S, Venkatesan UM, Erler KS, Evans E, Sander AM, Klyce D, O'Neil Pirozzi TM, Rabinowitz AR, Kazis LE, Giacino JT, Kumar RG, Bushnik T, Whiteneck GG. Developing multidimensional participation profiles after traumatic brain injury: a TBI model systems study. Disabil Rehabil 2023:1-11. [PMID: 37296112 DOI: 10.1080/09638288.2023.2221900] [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: 08/01/2022] [Revised: 03/08/2023] [Accepted: 06/01/2023] [Indexed: 06/12/2023]
Abstract
Purpose. To characterize societal participation profiles after moderate-severe traumatic brain injury (TBI) along objective (Frequency) and subjective (Satisfaction, Importance, Enfranchisement) dimensions.Materials and Methods. We conducted secondary analyses of a TBI Model Systems sub-study (N = 408). Multiaxial assessment of participation included the Participation Assessment with Recombined Tools-Objective and -Subjective questionnaires (Participation Frequency and Importance/Satisfaction, respectively) and the Enfranchisement Scale. Participants provided responses via telephone interview 1-15 years post-injury. Multidimensional participation profiles (classes) were extracted using latent profile analysis.Results. A 4-class solution was identified as providing maximal statistical separation between profiles and being clinically meaningful based on profile demographic features. One profile group (48.5% of the sample) exhibited the "best" participation profile (High Frequency, Satisfaction, Importance, and Enfranchisement) and was also the most advantaged according to socioeconomic indicators. Other profile groups showed appreciable heterogeneity across participation dimensions. Age, race/ethnicity, education level, ability to drive, and urbanicity were features that varied between profiles.Conclusions. Societal participation is a critical, but inherently complex, TBI outcome that may not be adequately captured by a single index. Our data underscore the importance of a multidimensional approach to participation assessment and interpretation using profiles. The use of participation profiles may promote precision health interventions for community integration.Implications for RehabilitationOur study found unidimensional measures of societal participation in traumatic brain injury (TBI) populations that focus exclusively on frequency indicators may be overly simplistic and miss key subjective components of participationTaking a multidimensional perspective, we documented four meaningfully distinct participation subgroups (including both objective and subjective dimensions of societal participation) within the TBI rehabilitation populationMultidimensional profiles of participation may be used to group individuals with TBI into target groups for intervention (e.g., deeper goal assessment for individuals who do not rate standard participation activities as important, but also do not participate and do not feel enfranchised).
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Affiliation(s)
- Shannon B Juengst
- Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX, USA
- Department of Physical Medicine & Rehabilitation, UT Houston Health Sciences Center, Houston, TX, USA
| | | | - Umesh M Venkatesan
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA
- Department of Physical Medicine & Rehabilitation, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Kimberly S Erler
- Department of Occupational Therapy, MGH Institute of Health Professions, Boston, MA, USA
| | - Emily Evans
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, USA
| | - Angelle M Sander
- Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Daniel Klyce
- Central VA Veterans Affairs Health Care System, Richmond, VA, USA
- Virginia Commonwealth University Health System, Richmond, VA, USA
- Sheltering Arms Institute, Richmond, VA, USA
| | - Therese M O'Neil Pirozzi
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, USA
- Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, USA
| | - Amanda R Rabinowitz
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA
- Department of Physical Medicine & Rehabilitation, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Lewis E Kazis
- Rehabilitation Outcomes Center (ROC), Spaulding Hospital, Charlestown, MA, USA
- Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, USA
- Harvard Medical school Boston, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, USA
| | - Raj G Kumar
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, NY, NY, USA
| | - Tamara Bushnik
- Rusk Rehabilitation, NYU Langone Health, New York, NY, USA
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23
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Totman AA, Lamm AG, Goldstein R, Giacino JT, Bodien YG, Ryan CM, Schneider JC, Zafonte R. Longitudinal Trends in Severe Traumatic Brain Injury Inpatient Rehabilitation. J Head Trauma Rehabil 2023; 38:E186-E194. [PMID: 36730991 PMCID: PMC10102246 DOI: 10.1097/htr.0000000000000814] [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: 02/04/2023]
Abstract
OBJECTIVE The goal of this study is to describe national trends in inpatient rehabilitation facility (IRF) discharges for the most severely disabled cohort of patients with traumatic brain injury (TBI). METHODS Data from the Uniform Data System for Medical Rehabilitation for patients discharged from an IRF between January 1, 2002, and December 31, 2017, with a diagnosis of TBI and an admission Functional Independence Measure of 18, the lowest possible score, were obtained and analyzed. RESULTS Of the 252 112 patients with TBI discharged during the study period, 10 098 met the study criteria. From 2002 to 2017, the number of patients with an IRF admission Functional Independence Measure of 18 following TBI discharged from IRFs annually decreased from 649 to 488, modeled by a negative regression (coefficient = -2.97; P = .001), and the mean age (SD) increased from 43.0 (21.0) to 53.7 (21.3) years (coefficient = 0.70; P < .001). During the study period, the number of patients with the most severe disability on admission to IRF who were discharged annually as a proportion of total patients with TBI decreased from 5.5% to 2.5% (odds ratio = 0.95; P < .001) and their mean length of stay decreased from 41.5 (36.2) to 29.3 (24.9) days (coefficient = -0.83; P < .001]. CONCLUSION The number and proportion of patients with the most severe disability on IRF admission following TBI who are discharged from IRFs is decreasing over time. This may represent a combination of primary prevention, early mortality due to withdrawal of life-sustaining treatment, alternative discharge dispositions, or changes in admitting and reimbursement practices. Furthermore, there has been a decrease in the duration of IRF level care for these individuals, which could ultimately lead to poorer functional outcomes, particularly given the importance of specialized rehabilitative care in this population.
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Affiliation(s)
- Alissa A Totman
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts (Drs Totman, Goldstein, Giacino, Bodien, Ryan, Schneider, and Zafonte); Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts (Drs Totman, Goldstein, Giacino, Bodien, Ryan, Schneider, and Zafonte); Mary Free Bed Rehabilitation Hospital, Grand Rapids, Michigan (Dr Lamm); Massachusetts General Hospital, Boston, Massachusetts (Drs Giacino, Ryan, and Zafonte); Shriners Hospitals for Children, Boston, Massachusetts (Dr Ryan); and Brigham and Women's Hospital, Boston, Massachusetts (Dr Zafonte)
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24
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Dams-O'Connor K, Juengst SB, Bogner J, Chiaravalloti ND, Corrigan JD, Giacino JT, Harrison-Felix CL, Hoffman JM, Ketchum JM, Lequerica AH, Marwitz JH, Miller AC, Nakase-Richardson R, Rabinowitz AR, Sander AM, Zafonte R, Hammond FM. Traumatic brain injury as a chronic disease: insights from the United States Traumatic Brain Injury Model Systems Research Program. Lancet Neurol 2023; 22:517-528. [PMID: 37086742 DOI: 10.1016/s1474-4422(23)00065-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/14/2022] [Accepted: 01/31/2023] [Indexed: 04/24/2023]
Abstract
Traumatic brain injury (TBI) is a global health priority, associated with substantial burden. Historically conceptualised as an injury event with finite recovery, TBI is now recognised as a chronic condition that can affect multiple domains of health and function, some of which might deteriorate over time. Many people who have had a TBI remain moderately to severely disabled at 5 years, are rehospitalised up to 10 years post-injury, and have a reduced lifespan relative to the general population. Understanding TBI as a chronic disease process can be highly informative for optimising care, which has traditionally focused on acute care. Chronic brain injury care models must be informed by a holistic understanding of long-term outcomes and the factors that can affect how care needs evolve over time. The United States Traumatic Brain Injury Model Systems of Care follows up individuals with moderate-to-severe TBI for over 30 years, allowing characterisation of the chronic (2-30 years or more post injury) functional, cognitive, behavioural, and social sequelae experienced by individuals who have had a moderate-to-severe TBI and the implications for their health and quality of life. Older age, social determinants of health, and lower acute functional status are associated with post-recovery deterioration, while younger age and greater functional independence are associated with risky health behaviours, including substance misuse and re-injury. Systematically collected data on long-term outcomes across multiple domains of health and function are needed worldwide to inform the development of models for chronic disease management, including the proactive surveillance of commonly experienced health and functional challenges.
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Affiliation(s)
- Kristen Dams-O'Connor
- Brain Injury Research Center, Department of Rehabilitation and Human Performance, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. kristen.dams-o'
| | - Shannon B Juengst
- Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX, USA; Department of Physical Medicine & Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA
| | - Jennifer Bogner
- Department of Physical Medicine and Rehabilitation, The Ohio State University, Columbus, OH, USA
| | - Nancy D Chiaravalloti
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA; Department of Physical Medicine and Rehabilitation, New Jersey Medical School, Rutgers University, Newark, NJ, USA
| | - John D Corrigan
- Department of Physical Medicine and Rehabilitation, The Ohio State University, Columbus, OH, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | | | - Jeanne M Hoffman
- Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Anthony H Lequerica
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA
| | - Jennifer H Marwitz
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA
| | - A Cate Miller
- National Institute on Disability, Independent Living, and Rehabilitation Research, Administration for Community Living, US Department of Health and Human Services, Washington, DC, USA
| | - Risa Nakase-Richardson
- Research Service, James A Haley Veterans Hospital, Tampa, FL, USA; Department of Internal Medicine, Pulmonary and Sleep Medicine Division, University of South Florida, Tampa, FL, USA
| | - Amanda R Rabinowitz
- Department of Physical Medicine and Rehabilitation, Moss Rehabilitation Research Institute, Elkins Park, PA, USA; Department of Physical Medicine and Rehabilitation, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | - Angelle M Sander
- Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX, USA; H Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA; Massachusetts General Hospital, Brigham and Women's Hospital, Boston, MA, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, IN, USA; Rehabilitation Hospital of Indiana, Indianapolis, IN, USA
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25
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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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26
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Threlkeld ZD, Bodien YG, Rosenthal ES, Giacino JT, Nieto-Castanon A, Wu O, Whitfield-Gabrieli S, Edlow BL. Corrigendum to 'functional networks reemerge during recovery of consciousness after acute severe traumatic brain injury' Cortex 106 (2018) 299-308. Cortex 2023; 162:136-139. [PMID: 36948917 DOI: 10.1016/j.cortex.2023.01.003] [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] [Received: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 03/05/2023]
Affiliation(s)
- Zachary D Threlkeld
- Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, USA
| | - Alfonso Nieto-Castanon
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA
| | - Ona Wu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Susan Whitfield-Gabrieli
- Martinos Imaging Center at McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
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27
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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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Fisher LB, Curtiss JE, Klyce DW, Perrin PB, Juengst SB, Gary KW, Niemeier JP, Hammond FM, Bergquist TF, Wagner AK, Rabinowitz AR, Giacino JT, Zafonte RD. Using Machine Learning to Examine Suicidal Ideation After Traumatic Brain Injury: A Traumatic Brain Injury Model Systems National Database Study. Am J Phys Med Rehabil 2023; 102:137-143. [PMID: 35687765 PMCID: PMC9729434 DOI: 10.1097/phm.0000000000002054] [Citation(s) in RCA: 2] [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: 01/19/2023]
Abstract
OBJECTIVE The aim of the study was to predict suicidal ideation 1 yr after moderate to severe traumatic brain injury. DESIGN This study used a cross-sectional design with data collected through the prospective, longitudinal Traumatic Brain Injury Model Systems network at hospitalization and 1 yr after injury. Participants who completed the Patient Health Questionnaire-9 suicide item at year 1 follow-up ( N = 4328) were included. RESULTS A gradient boosting machine algorithm demonstrated the best performance in predicting suicidal ideation 1 yr after traumatic brain injury. Predictors were Patient Health Questionnaire-9 items (except suicidality), Generalized Anxiety Disorder-7 items, and a measure of heavy drinking. Results of the 10-fold cross-validation gradient boosting machine analysis indicated excellent classification performance with an area under the curve of 0.882. Sensitivity was 0.85 and specificity was 0.77. Accuracy was 0.78 (95% confidence interval, 0.77-0.79). Feature importance analyses revealed that depressed mood and guilt were the most important predictors of suicidal ideation, followed by anhedonia, concentration difficulties, and psychomotor disturbance. CONCLUSIONS Overall, depression symptoms were most predictive of suicidal ideation. Despite the limited clinical impact of the present findings, machine learning has potential to improve prediction of suicidal behavior, leveraging electronic health record data, to identify individuals at greatest risk, thereby facilitating intervention and optimization of long-term outcomes after traumatic brain injury.
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Affiliation(s)
- Lauren B. Fisher
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA; Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Joshua E. Curtiss
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA; Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Daniel W. Klyce
- Central Virginia Veterans Affairs Health Care System, Richmond, VA; Sheltering Arms Institute, Richmond, VA; Virginia Commonwealth University Health System, Richmond, VA
| | - Paul B. Perrin
- Central Virginia Veterans Affairs Health Care System, Richmond, VA; Department of Psychology and Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA
| | - Shannon B. Juengst
- Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, Dallas, TX
| | - Kelli W. Gary
- Department of Rehabilitation Counseling, Virginia Commonwealth University, Richmond, VA
| | | | - Flora McConnell Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, IN; Rehabilitation Hospital of Indiana, Indianapolis, IN
| | | | - Amy K. Wagner
- Departments of Physical Medicine & Rehabilitation and Neuroscience, Center for Neuroscience, Safar Center for Resuscitation Research, Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh PA
| | | | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | - Ross D. Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA; Massachusetts General Hospital, Boston, MA; Brigham and Women’s Hospital, Boston, MA; Harvard Medical School, Boston, MA
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Bodien YG, Barber J, Taylor SR, Boase K, Corrigan JD, Dikmen S, Gardner RC, Kramer JH, Levin H, Machamer J, McAllister T, Nelson LD, Ngwenya LB, Sherer M, Stein MB, Vassar M, Whyte J, Yue JK, Markowitz A, McCrea MA, Manley GT, Temkin N, Giacino JT. Feasibility and Utility of a Flexible Outcome Assessment Battery for Longitudinal Traumatic Brain Injury Research: A TRACK-TBI Study. J Neurotrauma 2023; 40:337-348. [PMID: 36097759 PMCID: PMC9902043 DOI: 10.1089/neu.2022.0141] [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: 02/04/2023] Open
Abstract
The effects of traumatic brain injury (TBI) are difficult to measure in longitudinal cohort studies, because disparate pre-injury characteristics and injury mechanisms produce variable impairment profiles and recovery trajectories. In preparation for the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study, which followed patients with injuries ranging from uncomplicated mild TBI to coma, we designed a multi-dimensional Flexible outcome Assessment Battery (FAB). The FAB relies on a decision-making algorithm that assigns participants to a Comprehensive (CAB) or Abbreviated Assessment Battery (AAB) and guides test selection across all phases of recovery. To assess feasibility of the FAB, we calculated the proportion of participants followed at 2 weeks (2w) and at 3, 6, and 12 months (3m, 6m, 12m) post-injury who completed the FAB and received valid scores. We evaluated utility of the FAB by examining differences in 6m and 12m Glasgow Outcome Scale-Extended (GOSE) scores between participant subgroups derived from the FAB-enabled versus traditional approach to outcome assessment applied at 2w. Among participants followed at 2w (n = 2094), 3m (n = 1871), 6m (n = 1736), and 12m (n = 1607) post-injury, 95-99% received valid completion scores on the FAB, in full or in part, either in person or by telephone. Level of function assessed by the FAB-enabled approach at 2w was associated with 6m and 12m GOSE scores (proportional odds p < 0.001). These findings suggest that the participant classification methodology afforded by the FAB may enable more effective data collection to improve detection of natural history changes and TBI treatment effects.
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Affiliation(s)
- Yelena G. Bodien
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - Jason Barber
- University of Washington, Seattle, Washington, USA
| | - Sabrina R. Taylor
- University of California, San Francisco, San Francisco, California, USA
| | - Kim Boase
- University of Washington, Seattle, Washington, USA
| | | | | | - Raquel C. Gardner
- University of California, San Francisco, San Francisco, California, USA
| | - Joel H. Kramer
- University of California, San Francisco, San Francisco, California, USA
| | | | | | - Thomas McAllister
- University of Indiana School of Medicine, Indianapolis, Indiana, USA
| | | | | | - Mark Sherer
- Baylor College of Medicine, Houston, Texas, USA
- TIRR Memorial Hermann, Houston, Texas, USA
| | - Murray B. Stein
- University of California San Diego, La Jolla, California, USA
| | - Mary Vassar
- University of California, San Francisco, San Francisco, California, USA
| | - John Whyte
- Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, USA
| | - John K. Yue
- University of California, San Francisco, San Francisco, California, USA
| | - Amy Markowitz
- University of California, San Francisco, San Francisco, California, USA
| | | | | | - Nancy Temkin
- University of Washington, Seattle, Washington, USA
| | - Joseph T. Giacino
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
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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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Greenberg J, Kanaya MR, Bannon SM, McKinnon E, Iverson GL, Silverberg ND, Parker RA, Giacino JT, Yeh GY, Vranceanu AM. The Impact of a Recent Concussion on College-Aged Individuals with Co-Occurring Anxiety: A Qualitative Investigation. Int J Environ Res Public Health 2023; 20:ijerph20031988. [PMID: 36767359 PMCID: PMC9915955 DOI: 10.3390/ijerph20031988] [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] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 05/25/2023]
Abstract
College-aged individuals with anxiety are vulnerable to developing persistent concussion symptoms, yet evidence-based treatments for this population are limited. Understanding these individuals' perspectives is critical for developing effective interventions. We conducted qualitative interviews with 17 college-aged individuals (18-24 years old) with a recent (≤10 weeks) concussion and at least mild anxiety (≥5 on the GAD-7 questionnaire) to understand the life impact of their concussion. We identified 5 themes: (1) disruption to daily activities (e.g., reduced participation in hobbies and physical activity); (2) disruption to relationships (e.g., reduced social engagement, feeling dismissed by others, stigma, and interpersonal friction); (3) disruptions in school/work (e.g., challenges participating due to light sensitivity, cognitive or sleep disturbance, and related emotional distress); (4) changes in view of the self (e.g., feeling "unlike oneself", duller, or more irritable), and (5) finding "silver linings" after the injury (e.g., increased motivation). Concussions impact the lives of college-aged individuals with co-occurring anxiety in a broad range of domains, many of which remain largely neglected in standard concussion clinical assessment and treatment. Assessing and addressing these issues has the potential to limit the negative impact of concussion, promote recovery, and potentially help prevent persistent concussion symptoms in this at-risk population.
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Affiliation(s)
- Jonathan Greenberg
- Center for Health Outcomes and Interdisciplinary Research (CHOIR), Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Millan R. Kanaya
- Center for Health Outcomes and Interdisciplinary Research (CHOIR), Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sarah M. Bannon
- Center for Health Outcomes and Interdisciplinary Research (CHOIR), Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Ellen McKinnon
- Dr. Robert Cantu Concussion Center, Emerson Hospital, Concord, MA 01742, USA
| | - Grant L. Iverson
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and The Schoen Adams Research Institute at Spaulding Rehabilitation, Charlestown, MA 02129, USA
- MassGeneral Hospital for Children Sports Concussion Program, Boston, MA 02114, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA 02115, USA
| | - Noah D. Silverberg
- Department of Psychology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, BC V5Z 1M9, Canada
| | - Robert A. Parker
- Harvard Medical School, Boston, MA 02115, USA
- Biostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA 02115, USA
- Spaulding Rehabilitation Hospital, Charlestown, MA 02129, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Gloria Y. Yeh
- Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Ana-Maria Vranceanu
- Center for Health Outcomes and Interdisciplinary Research (CHOIR), Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02115, 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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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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Castro VM, Rosand J, Giacino JT, McCoy TH, Perlis RH. Case-control study of neuropsychiatric symptoms in electronic health records following COVID-19 hospitalization in 2 academic health systems. Mol Psychiatry 2022; 27:3898-3903. [PMID: 35705635 PMCID: PMC9199464 DOI: 10.1038/s41380-022-01646-z] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 05/18/2022] [Accepted: 05/23/2022] [Indexed: 02/08/2023]
Abstract
Neuropsychiatric symptoms may persist following acute COVID-19 illness, but the extent to which these symptoms are specific to COVID-19 has not been established. We utilized electronic health records across 6 hospitals in Massachusetts to characterize cohorts of individuals discharged following admission for COVID-19 between March 2020 and May 2021, and compared them to individuals hospitalized for other indications during this period. Natural language processing was applied to narrative clinical notes to identify neuropsychiatric symptom domains up to 150 days following hospitalization, in addition to those reflected in diagnostic codes as measured in prior studies. Among 6619 individuals hospitalized for COVID-19 drawn from a total of 42,961 hospital discharges, the most commonly-documented symptom domains between 31 and 90 days after initial positive test were fatigue (13.4%), mood and anxiety symptoms (11.2%), and impaired cognition (8.0%). In regression models adjusted for sociodemographic features and hospital course, none of these were significantly more common among COVID-19 patients; indeed, mood and anxiety symptoms were less frequent (adjusted OR 0.72 95% CI 0.64-0.92). Between 91 and 150 days after positivity, most commonly-detected symptoms were fatigue (10.9%), mood and anxiety symptoms (8.2%), and sleep disruption (6.8%), with impaired cognition in 5.8%. Frequency was again similar among non-COVID-19 post-hospital patients, with mood and anxiety symptoms less common (aOR 0.63, 95% CI 0.52-0.75). Propensity-score matched analyses yielded similar results. Overall, neuropsychiatric symptoms were common up to 150 days after initial hospitalization, but occurred at generally similar rates among individuals hospitalized for other indications during the same period. Post-acute sequelae of COVID-19 may benefit from standard if less-specific treatments developed for rehabilitation after hospitalization.
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Affiliation(s)
- Victor M Castro
- Center for Quantitative Health, Massachusetts General Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Research Information Science and Computing, Mass General Brigham, Somerville, MA, USA
| | - Jonathan Rosand
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Joseph T Giacino
- Department of Psychiatry, Spaulding Rehabilitation Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Thomas H McCoy
- Center for Quantitative Health, Massachusetts General Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Roy H Perlis
- Center for Quantitative Health, Massachusetts General Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
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Bodien YG, Edlow BL, Giacino JT. Response to Teasdale et al. on Bodien et al., "Diagnosing Level of Consciousness: The Limits of the Glasgow Coma Scale Total Score". J Neurotrauma 2022; 39:1275-1276. [PMID: 35699082 PMCID: PMC9422788 DOI: 10.1089/neu.2022.0268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Yelena G. Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Brian L. Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts. USA
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
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Snider SB, Kowalski RG, Hammond FM, Izzy S, Shih SL, Rovito C, Edlow BL, Zafonte RD, Giacino JT, Bodien YG. Comparison of Common Outcome Measures for Assessing Independence in Patients Diagnosed with Disorders of Consciousness: A Traumatic Brain Injury Model Systems Study. J Neurotrauma 2022; 39:1222-1230. [PMID: 35531895 PMCID: PMC9422782 DOI: 10.1089/neu.2022.0076] [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: 11/12/2022] Open
Abstract
Patients with disorders of consciousness (DoC) after traumatic brain injury (TBI) recover to varying degrees of functional dependency. Dependency is difficult to measure but critical for interpreting clinical trial outcomes and prognostic counseling. In participants with DoC (i.e., not following commands) enrolled in the TBI Model Systems National Database (TBIMS NDB), we used the Functional Independence Measure (FIM®) as the reference to evaluate how accurately the Glasgow Outcome Scale-Extended (GOSE) and Disability Rating Scale (DRS) assess dependency. Using the established FIM-dependency cut-point of <80, we measured the classification performance of literature-derived GOSE and DRS cut-points at 1-year post-injury. We compared the area under the receiver operating characteristic curve (AUROC) between the DRSDepend, a DRS-derived marker of dependency, and the data-derived optimal GOSE and DRS cut-points. Of 18,486 TBIMS participants, 1483 met inclusion criteria (mean [standard deviation (SD)] age = 38 [18] years; 76% male). The sensitivity of GOSE cut-points of ≤3 and ≤4 (Lower Severe and Upper Severe Disability, respectively) for identifying FIM-dependency were 97% and 98%, but specificities were 73% and 51%, respectively. The sensitivity of the DRS cut-point of ≥12 (Severe Disability) for identifying FIM-dependency was 60%, but specificity was 100%. The DRSDepend had a sensitivity of 83% and a specificity of 94% for classifying FIM-dependency, with a greater AUROC than the data-derived optimal GOSE (≤3, p = 0.01) and DRS (≥10, p = 0.008) cut-points. Commonly used GOSE and DRS cut-points have limited specificity or sensitivity for identifying functional dependency. The DRSDepend identifies FIM-dependency more accurately than the GOSE and DRS cut-points, but requires further validation.
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Affiliation(s)
- Samuel B. Snider
- Department of Neurology, Division of Neurocritical Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Address correspondence to: Samuel B. Snider, MD, Department of Neurology, Division of Neurocritical Care, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA 02115
| | - Robert G. Kowalski
- Departments of Neurosurgery and Neurology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Flora M. Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Saef Izzy
- Department of Neurology, Division of Neurocritical Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Shirley L. Shih
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Craig Rovito
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Brian L. Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Ross D. Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Yelena G. Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.,Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Kondziella D, Amiri M, Othman MH, Beghi E, Bodien YG, Citerio G, Giacino JT, Mayer SA, Lawson TN, Menon DK, Rass V, Sharshar T, Stevens RD, Tinti L, Vespa P, McNett M, Venkatasubba Rao CP, Helbok R, Akbari Y, Boly M, Dangayach N, Edlow B, Foreman B, Gilmore E, Hammond FM, Hemphill JC, Human T, Madden LK, Mainali S, Meyfroidt G, Monti M, Nakase-Richardson R, Nyquist P, Olson D, Park S, Provencio JJ, Puybasset L, Sarwal A, Shutter L, Witherspoon B, Whyte J, Ziai W. Incidence and prevalence of coma in the UK and the USA. Brain Commun 2022; 4:fcac188. [PMID: 36132425 PMCID: PMC9486895 DOI: 10.1093/braincomms/fcac188] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 05/19/2022] [Accepted: 07/14/2022] [Indexed: 11/14/2022] Open
Abstract
The epidemiology of coma is unknown because case ascertainment with traditional methods is difficult. Here, we used crowdsourcing methodology to estimate the incidence and prevalence of coma in the UK and the USA. We recruited UK and US laypeople (aged ≥18 years) who were nationally representative (i.e. matched for age, gender and ethnicity according to census data) of the UK and the USA, respectively, utilizing a crowdsourcing platform. We provided a description of coma and asked survey participants if they—‘right now’ or ‘within the last year’—had a family member in coma. These participants (UK n = 994, USA n = 977) provided data on 30 387 family members (UK n = 14 124, USA n = 16 263). We found more coma cases in the USA (n = 47) than in the UK (n = 20; P = 0.009). We identified one coma case in the UK (0.007%, 95% confidence interval 0.00–0.04%) on the day of the survey and 19 new coma cases (0.13%, 95% confidence interval 0.08–0.21%) within the preceding year, resulting in an annual incidence of 135/100 000 (95% confidence interval 81–210) and a point prevalence of 7 cases per 100 000 population (95% confidence interval 0.18–39.44) in the UK. We identified five cases in the USA (0.031%, 95% confidence interval 0.01–0.07%) on the day of the survey and 42 new cases (0.26%, 95% confidence interval 0.19–0.35%) within the preceding year, resulting in an annual incidence of 258/100 000 (95% confidence interval 186–349) and a point prevalence of 31 cases per 100 000 population (95% confidence interval 9.98–71.73) in the USA. The five most common causes were stroke, medically induced coma, COVID-19, traumatic brain injury and cardiac arrest. To summarize, for the first time, we report incidence and prevalence estimates for coma across diagnosis types and settings in the UK and the USA using crowdsourcing methods. Coma may be more prevalent in the USA than in the UK, which requires further investigation. These data are urgently needed to expand the public health perspective on coma and disorders of consciousness.
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Affiliation(s)
- Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital , Blegdamsvej 9 , DK-2100 Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen , Copenhagen 2100 , Denmark
| | - Moshgan Amiri
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital , Blegdamsvej 9 , DK-2100 Copenhagen, Denmark
| | - Marwan H Othman
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital , Blegdamsvej 9 , DK-2100 Copenhagen, Denmark
| | - Ettore Beghi
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS , Milan 20156 , Italy
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School , Boston, MA 02115 , USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School , Boston, MA 02114 , USA
| | - Giuseppe Citerio
- NeuroIntensive Care, ASST di Monza , Monza 20900 , Italy
- School of Medicine and Surgery, Università Milano Bicocca , Milan 20100 , Italy
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School , Boston, MA 02115 , USA
| | - Stephan A Mayer
- Department of Neurology, New York Medical College , Valhalla, NY 10595 , USA
| | - Thomas N Lawson
- College of Nursing, The Ohio State University , Columbus, OH 43210 , USA
| | - David K Menon
- Division of Anaesthesia, University of Cambridge , Cambridge CB2 2QQ , UK
| | - Verena Rass
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck , Innsbruck 6020 , Austria
| | - Tarek Sharshar
- Neuro-anesthesiology and Intensive Care Medicine, Sainte-Anne Hospital, Paris-Descartes University , Paris 75006 , France
- Experimental Neuropathology, Infection and Epidemiology Department, Institut Pasteur , Paris 75015 , France
| | - Robert D Stevens
- Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine , Baltimore, MD 21287 , USA
- Department of Neurology, The Johns Hopkins University School of Medicine , Baltimore, MD 21218 , USA
- Department of Neurosurgery, The Johns Hopkins University School of Medicine , Baltimore 21287, MD , USA
| | - Lorenzo Tinti
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS , Milan 20156 , Italy
| | - Paul Vespa
- Department of Neurology, David Geffen School of Medicine at UCLA , Los Angeles, CA 90095 , USA
- Department of Neurosurgery, David Geffen School of Medicine at UCLA , Los Angeles, CA 90095 , USA
| | - Molly McNett
- College of Nursing, The Ohio State University , Columbus, OH 43210 , USA
| | - Chethan P Venkatasubba Rao
- Division of Vascular Neurology and Neurocritical Care, Baylor College of Medicine and CHI Baylor St Luke's Medical Center , Houston, TX 77030 , USA
| | - Raimund Helbok
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck , Innsbruck 6020 , Austria
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Bannon SM, Fishbein NS, Lovette BC, Wang K, Waterhouse C, Rajala CE, Costantini H, Lichstein KH, Giacino JT, Vranceanu AM, Greenberg J. A meta-synthesis of individual, interpersonal, and systemic factors impacting resilience after traumatic brain injury. Rehabil Psychol 2022; 67:535-545. [PMID: 35980702 DOI: 10.1037/rep0000462] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
PURPOSE/OBJECTIVE Traumatic brain injuries (TBIs) are increasingly common and a major cause of death and long-term disability. Many individuals experience chronic stressors and adverse health outcomes, emphasizing the importance of cultivating resilience, (defined herein as individual, social, and systemic components engaged in response to the stressors that allow individuals to "bounce back," or move forward adaptively after TBI). Patients' perceptions of factors influencing resilience are critical to guide interventions that meet their needs. Here we offer the first metasynthesis of factors influencing resilience after TBI using a Social Ecological model framework. Research Methods/Design: We preregistered our metasynthesis on PROSPERO (CRD42021233975) and followed PRISMA guidelines. We searched 4 electronic databases for qualitative studies from inception up until June 2021. We included qualitative studies detailing perspectives of individuals with a history of moderate-severe TBI. We excluded case studies and systematic reviews. After removal of duplicates, we identified 124 articles for screening. We reviewed 49 articles for full text eligibility and included 38 studies. We extracted study characteristics and data (e.g., author interpretations and relevant quotes) relating to factors influencing resilience. RESULTS We synthesized findings using a Social Ecological model framework to guide thematic analysis. Persons with TBI identified barriers and facilitators to resilience at individual (e.g., physical and cognitive challenges, coping behaviors), interpersonal, (e.g., stigma and isolation) and systemic (e.g., access to resources, rehabilitation support) levels. CONCLUSIONS/IMPLICATIONS Considering multifaceted factors at individual, interpersonal and systemic levels in clinical, research, and policy-setting contexts is important for cultivating resilience and optimizing recovery after TBI. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Sarah M Bannon
- Center for Health Outcomes and Interdisciplinary Research
| | | | | | - Katherine Wang
- Center for Health Outcomes and Interdisciplinary Research
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Bodien YG, Katz D, Schiff N, Giacino JT. Behavioral Assessment of Patients with Disorders of Consciousness. Semin Neurol 2022. [PMID: 35793706 DOI: 10.1055/a-1893-2875] [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: 10/17/2022]
Affiliation(s)
- Yelena G Bodien
- Neurology, Massachusetts General Hospital, Boston, United States
- Harvard Medical Scool, Boston, United States
| | - Douglas Katz
- Neurology, Boston University, Newton Center, United States
- Boston University / Braintree Rehab, Encompass Health Hospital of Braintree, Braintree, United States
| | - Niko Schiff
- Neurology, Weill Cornell Medical College, New York, United States
| | - Joseph T Giacino
- Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, United States
- Harvard Medical Scool, Boston, United States
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Curley WH, Bodien YG, Zhou DW, Conte MM, Foulkes AS, Giacino JT, Victor JD, Schiff ND, Edlow BL. Electrophysiological correlates of thalamocortical function in acute severe traumatic brain injury. Cortex 2022; 152:136-152. [PMID: 35569326 PMCID: PMC9759728 DOI: 10.1016/j.cortex.2022.04.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [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: 09/23/2021] [Revised: 01/26/2022] [Accepted: 04/04/2022] [Indexed: 12/26/2022]
Abstract
Tools assaying the neural networks that modulate consciousness may facilitate tracking of recovery after acute severe brain injury. The ABCD framework classifies resting-state EEG into categories reflecting levels of thalamocortical network function that correlate with outcome in post-cardiac arrest coma. In this longitudinal cohort study, we applied the ABCD framework to 20 patients with acute severe traumatic brain injury requiring intensive care (12 of whom were also studied at ≥6-months post-injury) and 16 healthy controls. We tested four hypotheses: 1) EEG ABCD classifications are spatially heterogeneous and temporally variable; 2) ABCD classifications improve longitudinally, commensurate with the degree of behavioral recovery; 3) ABCD classifications correlate with behavioral level of consciousness; and 4) the Coma Recovery Scale-Revised arousal facilitation protocol yields improved ABCD classifications. Channel-level EEG power spectra were classified based on spectral peaks within pre-defined frequency bands: 'A' = no peaks above delta (<4 Hz) range (complete thalamocortical disruption); 'B' = theta (4-8 Hz) peak (severe thalamocortical disruption); 'C' = theta and beta (13-24 Hz) peaks (moderate thalamocortical disruption); or 'D' = alpha (8-13 Hz) and beta peaks (normal thalamocortical function). Acutely, 95% of patients demonstrated 'D' signals in at least one channel but exhibited within-session temporal variability and spatial heterogeneity in the proportion of different channel-level ABCD classifications. By contrast, healthy participants and patients at follow-up consistently demonstrated signals corresponding to intact thalamocortical network function. Patients demonstrated longitudinal improvement in ABCD classifications (p < .05) and ABCD classification distinguished patients with and without command-following in the subacute-to-chronic phase of recovery (p < .01). In patients studied acutely, ABCD classifications improved after the Coma Recovery Scale-Revised arousal facilitation protocol (p < .05) but did not correspond with behavioral level of consciousness. These findings support the use of the ABCD framework to characterize channel-level EEG dynamics and track fluctuations in functional thalamocortical network integrity in spatial detail.
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Affiliation(s)
- William H Curley
- Harvard Medical School, Boston, MA, USA; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA, USA
| | - David W Zhou
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mary M Conte
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA
| | - Andrea S Foulkes
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA, USA; Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jonathan D Victor
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA; Department of Neurology, New York Presbyterian Hospital, New York, NY, USA
| | - Nicholas D Schiff
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA; Department of Neurology, New York Presbyterian Hospital, New York, NY, USA
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
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Abstract
Severe brain injury is associated with a period of impaired level of consciousness that can last from days to months and results in chronic impairment. Systematic assessment of level of function in patients with disorders of consciousness (DoC) is critical for diagnosis, prognostication, and evaluation of treatment efficacy. Approximately 40% of patients who are thought to be unconscious based on clinical bedside behavioral assessment demonstrate some signs of consciousness on standardized behavioral assessment. This finding, in addition to a growing body of literature demonstrating the advantages of standardized behavioral assessment of DoC, has led multiple professional societies and clinical guidelines to recommend standardized assessment over routine clinical evaluation of consciousness. Nevertheless, even standardized assessment is susceptible to biases and misdiagnosis, and examiners should consider factors, such as fluctuating arousal and aphasia, that may confound evaluation. We review approaches to behavioral assessment of consciousness, recent clinical guideline recommendations for use of specific measures to evaluate patients with DoC, and strategies for mitigating common biases that may confound the examination.
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Affiliation(s)
- Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Douglas I Katz
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Brain Injury Program, Encompass Health Braintree Rehabilitation Hospital, Braintree, Massachusetts
| | - Nicholas D Schiff
- Feil Family Brain and Mind Institute, Weill Cornell Medicine, New York, New York
- Department of Neurology, Weill Cornell Brain and Spine Institute, Weill Cornell Medicine, New York, NY, United States
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
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Magnus BE, Balsis S, Giacino JT, McCrea MA, Temkin NR, Whyte J, Manley GT, Nelson LD. Improving the Precision of the Glasgow Outcome Scale-Extended Using Item Response Theory: A TRACK-TBI Study. J Neurotrauma 2022; 39:870-878. [PMID: 35317604 PMCID: PMC9225413 DOI: 10.1089/neu.2021.0421] [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: 01/27/2023] Open
Abstract
The Glasgow Outcome Scale-Extended (GOSE) is a functional outcome measure intended to place individuals with traumatic brain injury (TBI) into one of eight broad levels of injury-related disability. This simplicity is not always optimal, particularly when more granular assessment of individuals' injury recovery is desired. The GOSE, however, is customarily assessed using a multi-question interview that contains richer information than is reflected in the GOSE score. Using data from the multi-center Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study (N = 1544), we used item response theory (IRT) to evaluate whether rescoring the GOSE using IRT, which posits that a continuous latent variable (disability) underlies responses, can yield a more precise index of injury-related functional limitations. We fit IRT models to GOSE interview responses collected at three months post-injury. Each participant's level of functional limitation was estimated from the model (GOSE-IRT) and comparisons were made between IRT-based and standard (GOSE-Ordinal) scores. The IRT scoring resulted in 141 possible scores (vs. 7 GOSE-Ordinal scores in this sample of individuals with GOSE scores ranging between 2 and 8). Moreover, GOSE-IRT scores were significantly more strongly associated with measures of TBI-related symptoms, psychological symptoms, and quality of life. Our findings demonstrate that rescoring the GOSE interview using IRT yields more granular, meaningful measurement of injury-related functional limitations, while adding no additional respondent or examiner burden. This technique may have utility for many applications, such as clinical trials aiming to detect small treatment effects, and small-scale studies that need to maximize statistical efficiency.
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Affiliation(s)
- Brooke E. Magnus
- Department of Psychology and Neuroscience, Boston College, Chestnut Hill, Massachusetts, USA.,Address correspondence to: Brooke E. Magnus, PhD, Department of Psychology and Neuroscience, Boston College, McGuinn 300, 140 Commonwealth Avenue, Chestnut Hill, Massachusetts, 02467, USA
| | - Steve Balsis
- Department of Psychology, University of Massachusetts Lowell, Lowell, Massachusetts, USA
| | - Joseph T. Giacino
- Harvard Medical School and Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - Michael A. McCrea
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | | | - John Whyte
- Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, USA
| | | | - Lindsay D. Nelson
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
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43
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Bodien YG, Katz DI, Schiff ND, Giacino JT. Erratum: Behavioral Assessment of Patients with Disorders of Consciousness. Semin Neurol 2022; 42:e1. [PMID: 37903645 DOI: 10.1055/s-0043-1775572] [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: 11/01/2023]
Affiliation(s)
- Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Douglas I Katz
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Brain Injury Program, Encompass Health Braintree Rehabilitation Hospital, Braintree, Massachusetts
| | - Nicholas D Schiff
- Feil Family Brain and Mind Institute, Weill Cornell Medicine, New York, New York
- Department of Neurology, Weill Cornell Brain and Spine Institute, Weill Cornell Medicine, New York, NY, United States
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
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Kulpanowski AM, Copen WA, Hancock BL, Rosenthal ES, Schoenfeld DA, Dodelson JA, Edlow BL, Kimberly WT, Amorim E, Westover MB, Ning MM, Schaefer PW, Malhotra R, Giacino JT, Greer DM, Wu O. Severe cerebral edema in substance-related cardiac arrest patients. Resuscitation 2022; 173:103-111. [PMID: 35149137 PMCID: PMC9282938 DOI: 10.1016/j.resuscitation.2022.01.033] [Citation(s) in RCA: 2] [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: 04/28/2021] [Revised: 01/01/2022] [Accepted: 01/31/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Studies of neurologic outcomes have found conflicting results regarding differences between patients with substance-related cardiac arrests (SRCA) and non-SRCA. We investigate the effects of SRCA on severe cerebral edema development, a neuroimaging intermediate endpoint for neurologic injury. METHODS 327 out-of-hospital comatose cardiac arrest patients were retrospectively analyzed. Demographics and baseline clinical characteristics were examined. SRCA categorization was based on admission toxicology screens. Severe cerebral edema classification was based on radiology reports. Poor clinical outcomes were defined as discharge Cerebral Performance Category scores > 3. RESULTS SRCA patients (N = 86) were younger (P < 0.001), and more likely to have non-shockable rhythms (P < 0.001), be unwitnessed (P < 0.001), lower Glasgow Coma Scale scores (P < 0.001), absent brainstem reflexes (P < 0.05) and develop severe cerebral edema (P < 0.001) than non-SRCA patients (N = 241). Multivariable analyses found younger age (P < 0.001), female sex (P = 0.008), non-shockable rhythm (P = 0.01) and SRCA (P = 0.05) to be predictors of severe cerebral edema development. Older age (P < 0.001), non-shockable rhythm (P = 0.02), severe cerebral edema (P < 0.001), and absent pupillary light reflexes (P = 0.004) were predictors of poor outcomes. SRCA patients had higher proportion of brain deaths (P < 0.001) compared to non-SRCA patients. CONCLUSIONS SRCA results in higher rates of severe cerebral edema development and brain death. The absence of statistically significant differences in discharge outcomes or survival between SRCA and non-SRCA patients may be related to the higher rate of withdrawal of life-sustaining treatment (WLST) in the non-SRCA group. Future neuroprognostic studies may opt to include neuroimaging markers as intermediate measures of neurologic injury which are not influenced by WLST decisions.
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Affiliation(s)
- Annelise M Kulpanowski
- Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
| | - William A Copen
- Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Brandon L Hancock
- Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - David A Schoenfeld
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, United States
| | - Jacob A Dodelson
- Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
| | - Brian L Edlow
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - W Taylor Kimberly
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Edilberto Amorim
- Department of Neurology, University of California San Francisco, San Francisco, CA, United States
| | - M Brandon Westover
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Ming Ming Ning
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Pamela W Schaefer
- Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Rajeev Malhotra
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, United States
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, United States
| | - David M Greer
- Department of Neurology, Boston University and Boston Medical Center, Boston, MA, United States
| | - Ona Wu
- Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States.
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Paretsky MS, Albert S, Giacino JT. Ethical Guidance for Neuroprognostication in Disorders of Consciousness. Neurology 2022; 98:701-702. [PMID: 35277443 DOI: 10.1212/wnl.0000000000200574] [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: 11/15/2022] Open
Affiliation(s)
| | - Steven Albert
- University of Pittsburgh Grad School of Public Health
| | - Joseph T Giacino
- Spaulding Rehabilitation Hospital.,Massachusetts General Hospital.,Harvard Medical School
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46
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Helbok R, Rass V, Beghi E, Bodien YG, Citerio G, Giacino JT, Kondziella D, Mayer SA, Menon D, Sharshar T, Stevens RD, Ulmer H, Venkatasubba Rao CP, Vespa P, McNett M, Frontera J. The Curing Coma Campaign International Survey on Coma Epidemiology, Evaluation, and Therapy (COME TOGETHER). Neurocrit Care 2022; 37:47-59. [PMID: 35141860 PMCID: PMC9283177 DOI: 10.1007/s12028-021-01425-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/14/2021] [Indexed: 11/29/2022]
Abstract
Background Although coma is commonly encountered in critical care, worldwide variability exists in diagnosis and management practices. We aimed to assess variability in coma definitions, etiologies, treatment strategies, and attitudes toward prognosis. Methods As part of the Neurocritical Care Society Curing Coma Campaign, between September 2020 and January 2021, we conducted an anonymous, international, cross-sectional global survey of health care professionals caring for patients with coma and disorders of consciousness in the acute, subacute, or chronic setting. Survey responses were solicited by sequential emails distributed by international neuroscience societies and social media. Fleiss κ values were calculated to assess agreement among respondents. Results The survey was completed by 258 health care professionals from 41 countries. Respondents predominantly were physicians (n = 213, 83%), were from the United States (n = 141, 55%), and represented academic centers (n = 231, 90%). Among eight predefined items, respondents identified the following cardinal features, in various combinations, that must be present to define coma: absence of wakefulness (81%, κ = 0.764); Glasgow Coma Score (GCS) ≤ 8 (64%, κ = 0.588); failure to respond purposefully to visual, verbal, or tactile stimuli (60%, κ = 0.552); and inability to follow commands (58%, κ = 0.529). Reported etiologies of coma encountered included medically induced coma (24%), traumatic brain injury (24%), intracerebral hemorrhage (21%), and cardiac arrest/hypoxic-ischemic encephalopathy (11%). The most common clinical assessment tools used for coma included the GCS (94%) and neurological examination (78%). Sixty-six percent of respondents routinely performed sedation interruption, in the absence of contraindications, for clinical coma assessments in the intensive care unit. Advanced neurological assessment techniques in comatose patients included quantitative electroencephalography (EEG)/connectivity analysis (16%), functional magnetic resonance imaging (7%), single-photon emission computerized tomography (6%), positron emission tomography (4%), invasive EEG (4%), and cerebral microdialysis (4%). The most commonly used neurostimulants included amantadine (51%), modafinil (37%), and methylphenidate (28%). The leading determinants for prognostication included etiology of coma, neurological examination findings, and neuroimaging. Fewer than 20% of respondents reported routine follow-up of coma survivors after hospital discharge; however, 86% indicated interest in future research initiatives that include postdischarge outcomes at six (85%) and 12 months (65%). Conclusions There is wide heterogeneity among health care professionals regarding the clinical definition of coma and limited routine use of advanced coma assessment techniques in acute care settings. Coma management practices vary across sites, and mechanisms for coordinated and sustained follow-up after acute treatment are inconsistent. There is an urgent need for the development of evidence-based guidelines and a collaborative, coordinated approach to advance both the science and the practice of coma management globally. Supplementary Information The online version contains supplementary material available at 10.1007/s12028-021-01425-8.
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Affiliation(s)
- Raimund Helbok
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
| | - Verena Rass
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Ettore Beghi
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Harvard University, Boston, MA, USA.,Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Giuseppe Citerio
- Neuro-Intensive Care, ASST Di Monza, Monza, Italy.,School of Medicine and Surgery, Università Milano Bicocca, Milan, Italy
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital and Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stephan A Mayer
- Department of Neurology, New York Medical College, Valhalla, NY, USA
| | - David Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | - Tarek Sharshar
- Neuro-Intensive Care Medicine, Sainte-Anne Hospital, University of Paris, GHU-Psychiatry & Neurosciences, Paris, France
| | - Robert D Stevens
- Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Hanno Ulmer
- Director Department of Medical Statistic, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Chethan P Venkatasubba Rao
- Division of Vascular Neurology and Neurocritical Care, Baylor College of Medicine and CHI Baylor St Luke's Medical Center, Houston, TX, USA
| | - Paul Vespa
- Departments of Neurology and Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Molly McNett
- College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Jennifer Frontera
- Department of Neurology, Grossman School of Medicine, New York University, New York, NY, 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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48
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Abstract
Traumatic brain injury (TBI) results in disparate outcomes ranging from persistent disorders of consciousness to symptom resolution. Despite the breadth and complexity of TBI recovery, most clinical trials dichotomize outcome by establishing an arbitrary cut-point, above and below which recovery is described as "favorable" and "unfavorable," respectively. For example, the widely used eight-level Glasgow Outcome Scale-Extended (GOSE) is typically collapsed into these two categories. Dichotomizing the GOSE into "favorable" and "unfavorable" outcome may limit detection of treatment effects in TBI clinical trials, contribute to imprecise prognostic counseling, and unduly influence decision-making with regard to withdrawal of life-sustaining therapy. We illustrate the lack of standardization in defining "unfavorable" and "favorable" TBI outcome on the GOSE by identifying the broad range of cut-points, from a score of 3 (part-time supervision in the home required) to 7 (presence of some residual of symptoms), that have been used to dichotomize the GOSE. We also highlight the ethical concerns related to characterizing TBI outcomes solely from the perspective of investigators and clinicians, rather than patients and caregivers. Finally, we suggest that a pragmatic, immediate solution to GOSE dichotomization is to report the likelihood of achieving each of the eight GOSE outcome levels and propose a study design for a new patient- and caregiver-centered TBI outcome metric.
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Affiliation(s)
- David A Zuckerman
- Center for Bioethics, Harvard Medical School, Boston, Massachusetts, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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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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Klyce DW, Perrin PB, Fisher LB, Hammond FM, Juengst SB, Bergquist TF, Rabinowitz AR, Wagner AK, Bombardier CH, Niemeier JP, Gary KW, Giacino JT, Zafonte RD. Identifying group-based patterns of suicidal ideation over the first 10 years after moderate-to-severe TBI. J Clin Psychol 2021; 78:877-891. [PMID: 34825373 DOI: 10.1002/jclp.23282] [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: 06/22/2021] [Revised: 09/16/2021] [Accepted: 10/06/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To identify group-based patterns in suicidal ideation (SI) over the first 10 years after traumatic brain injury (TBI). METHODS Participants included 9539 individuals in the TBI Model Systems National Database who responded to Patient Health Questionnaire-9 Item 9 assessing SI at 1, 2, 5, and/or 10 years post-injury. A k-means cluster analysis was conducted to determine group-based patterns of SI, and pre-injury variables were compared with ANOVAs and chi-square tests. RESULTS SI and attempts decreased over time. Four group-based patterns emerged: Low, increasing, moderate, and decreasing SI. The low SI group comprised 89% of the sample, had the highest pre-injury employment, fewer mental health vulnerabilities, least severe injuries, and were oldest. The increasing SI group had the most severe TBIs, were youngest, and disproportionately Black or Asian/Pacific Islander. CONCLUSION These findings reinforce the importance of mental health and suicide risk assessment during chronic recovery from TBI.
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Affiliation(s)
- Daniel W Klyce
- Mental Health Service, Central Virginia Veterans Affairs Health Care System, Richmond, Virginia, USA.,Psychology Service, Sheltering Arms Institute, Richmond, Virginia, USA.,Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University Health System, Richmond, Virginia, USA
| | - Paul B Perrin
- Mental Health Service, Central Virginia Veterans Affairs Health Care System, Richmond, Virginia, USA.,Department of Psychology, Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Lauren B Fisher
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Department of Physical Medicine and Rehabilitation, Rehabilitation Hospital of Indiana, Indianapolis, Indiana, USA
| | - Shannon B Juengst
- The Institute for Rehabilitation Research, Memorial Hermann, Houston, Texas, USA
| | - Thomas F Bergquist
- Department of Psychiatry & Psychology, Department of Physical Medicine & Rehabilitation, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA
| | - Amanda R Rabinowitz
- Brain Injury Neuropsychology Laboratory, Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, USA
| | - Amy K Wagner
- Departments of Physical Medicine & Rehabilitation and Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Charles H Bombardier
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Janet P Niemeier
- Department of Physical Medicine and Rehabilitation, University of Alabama, Birmingham, Alabama, USA
| | - Kelli W Gary
- Department of Rehabilitation Counseling, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - Ross D Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.,Department of Physical Medicine and Rehabilitation, Brigham and Women's Hospital, Boston, Massachusetts, USA
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