192 results on '"Geoffrey T Manley"'
Search Results
2. 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
- Author
-
Eva M, Palacios, Esther L, Yuh, Christine L, Mac Donald, Ioanna, Bourla, Jamie, Wren-Jarvis, Xiaoying, Sun, Mary J, Vassar, Ramon, Diaz-Arrastia, Joseph T, Giacino, David O, Okonkwo, Claudia S, Robertson, Murray B, Stein, Nancy, Temkin, Michael A, McCrea, Harvey S, Levin, Amy J, Markowitz, Sonia, Jain, Geoffrey T, Manley, Pratik, Mukherjee, and Ross, Zafonte
- Subjects
Adult ,Cohort Studies ,Young Adult ,Diffusion Magnetic Resonance Imaging ,Diffusion Tensor Imaging ,Adolescent ,Brain Injuries, Traumatic ,Brain ,Humans ,Neurology (clinical) ,Middle Aged ,White Matter ,Brain Concussion - 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 (in/i = 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 (GOSElt;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.
- Published
- 2022
3. Prognostic value of day-of-injury plasma GFAP and UCH-L1 concentrations for predicting functional recovery after traumatic brain injury in patients from the US TRACK-TBI cohort: an observational cohort study
- Author
-
Frederick K Korley, Sonia Jain, Xiaoying Sun, Ava M Puccio, John K Yue, Raquel C Gardner, Kevin K W Wang, David O Okonkwo, Esther L Yuh, Pratik Mukherjee, Lindsay D Nelson, Sabrina R Taylor, Amy J Markowitz, Ramon Diaz-Arrastia, Geoffrey T Manley, Opeolu Adeoye, Neeraj Badatjia, Ann-Christine Duhaime, Adam Ferguson, Brandon Foreman, Joseph T Giacino, Shankar Gopinath, Ramesh Grandhi, Ryan Kitagawa, Christopher Madden, Randall Merchant, Mike McCrea, Laura Ngwenya, Miri Rabinowitz, Claudia Robertson, David Schnyer, Murray Stein, Mary Vassar, Vincent Wang, Alex Valadka, and Ross Zafonte
- Subjects
Neurology (clinical) - Published
- 2022
4. Improving the Precision of the Glasgow Outcome Scale-Extended Using Item Response Theory: A TRACK-TBI Study
- Author
-
Brooke E, Magnus, Steve, Balsis, Joseph T, Giacino, Michael A, McCrea, Nancy R, Temkin, John, Whyte, Geoffrey T, Manley, Lindsay D, Nelson, and Ross, Zafonte
- Subjects
Brain Injuries, Traumatic ,Outcome Assessment, Health Care ,Quality of Life ,Glasgow Outcome Scale ,Humans ,Disabled Persons ,Original Articles ,Neurology (clinical) - 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.
- Published
- 2022
5. Response to Hutchinson M. 'The Concept of Mild Traumatic Brain Injury: Response to Palacios et al.' (doi: 10.1089/neu.2023.0011)
- Author
-
Pratik Mukherjee, Eva M. Palacios, and Geoffrey T. Manley
- Subjects
Neurology (clinical) - Published
- 2023
6. Interrater Reliability of National Institutes of Health Traumatic Brain Injury Imaging Common Data Elements for Brain Magnetic Resonance Imaging in Mild Traumatic Brain Injury
- Author
-
Xiaoying Sun, Christine L. Mac Donald, Sabrina R Taylor, Esther L. Yuh, Sandra Rincon, Allison Kumar, Daniel M. Krainak, Pratik Mukherjee, Sonia Jain, Amy J. Markowitz, Harvey S. Levin, Nancy R. Temkin, and Geoffrey T. Manley
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Traumatic brain injury ,Diffuse Axonal Injury ,Head trauma ,Young Adult ,Physical medicine and rehabilitation ,Brain Injuries, Traumatic ,medicine ,Humans ,Brain magnetic resonance imaging ,Stroke ,Brain Concussion ,Aged ,Observer Variation ,Common Data Elements ,business.industry ,Reproducibility of Results ,Brain Contusion ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,United States ,Inter-rater reliability ,Female ,Neurology (clinical) ,Artifacts ,business ,Biomarkers - Abstract
The National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH-NINDS) Traumatic Brain Injury (TBI) Imaging Common Data Elements (CDEs) are standardized definitions for pathological intracranial lesions based on their appearance on neuroimaging studies. The NIH-NINDS TBI Imaging CDEs were designed to be as consistent as possible with the U.S. Food and Drug Administration (FDA) definition of biomarkers as "an indicator of normal biological processes, pathogenic processes, or biological responses to an exposure or intervention." However, the FDA qualification process for biomarkers requires proof of reliable biomarker test measurements. We determined the interrater reliability of TBI Imaging CDEs on subacute brain magnetic resonance imaging (MRI) performed on 517 mild TBI patients presenting to 11 U.S. level 1 trauma centers. Three U.S. board-certified neuroradiologists independently evaluated brain MRI performed 2 weeks post-injury for the following CDEs: traumatic axonal injury (TAI), diffuse axonal injury (DAI), and brain contusion. We found very high interrater agreement for brain contusion, with prevalence- and bias-adjusted kappa (PABAK) values for pairs of readers from 0.92 [95% confidence interval, 0.88-0.95] to 0.94 [0.90-0.96]. We found intermediate agreement for TAI and DAI, with PABAK values of 0.74-0.78 [0.70-0.82]. The near-perfect agreement for subacute brain contusion is likely attributable to the high conspicuity and distinctive appearance of these lesions on T1-weighted images. Interrater agreement for TAI and DAI was lower, because signal void in small vascular structures, and artifactual foci of signal void, can be difficult to distinguish from the punctate round or linear areas of slight hemorrhage that are a common hallmark of TAI/DAI on MRI.
- Published
- 2021
7. The Morbidity and Mortality of Surgery for Traumatic Brain Injury in Geriatric Patients: A Study of Over 100 000 Patient Cases
- Author
-
Anthony M DiGiorgio, Alexander F Haddad, Michael C. Huang, Sanjay S. Dhall, John F. Burke, Phiroz E. Tarapore, Geoffrey T. Manley, Anthony T. Lee, and Young M Lee
- Subjects
education.field_of_study ,medicine.medical_specialty ,Multivariate analysis ,business.industry ,Traumatic brain injury ,Population ,Glasgow Coma Scale ,Emergency department ,medicine.disease ,Intensive care unit ,law.invention ,Surgery ,law ,Medicine ,Injury Severity Score ,Neurology (clinical) ,business ,education ,Surgical patients - Abstract
BACKGROUND Geriatric patients have the highest rates of Traumatic Brain Injury (TBI)-related hospitalization and death. This contributes to an assumption of futility in aggressive management in this population. OBJECTIVE To evaluate the effect of surgical intervention on the morbidity and mortality of geriatric patients with TBI. METHODS A retrospective analysis of patients ≥80 yr old with TBI from 2003 to 2016 was performed using the National Trauma Data Bank. Univariate and multivariate analyses were performed to compare outcomes between surgery and nonsurgery groups. RESULTS A total of 127 129 patient incidents were included: 121 185 (95.3%) without surgery and 5944 (4.7%) with surgery. The surgical group was slightly younger (84.0 vs 84.3, P
- Published
- 2021
8. Improved Pressure Equalization Ratio Following Mannitol Administration in Patients With Severe TBI: A Preliminary Study of a Potential Bedside Marker for Response to Therapy
- Author
-
Omer Doron, Geoffrey T. Manley, Guy Rosenthal, and J. Claude Hemphill
- Subjects
Traumatic ,medicine.medical_specialty ,Neurology ,Intracranial Pressure ,Traumatic brain injury ,Clinical Sciences ,Brain Edema ,Critical Care and Intensive Care Medicine ,Cerebral edema ,Cerebrospinal fluid ,Injury - Trauma - (Head and Spine) ,Clinical Research ,Brain Injuries, Traumatic ,medicine ,Pressure equalization ratio ,Humans ,Mannitol ,Intracranial pressure ,Neurology & Neurosurgery ,business.industry ,Surrogate endpoint ,musculoskeletal, neural, and ocular physiology ,Neurosciences ,medicine.disease ,Brain Disorders ,nervous system diseases ,Anesthesia ,Brain Injuries ,Injury (total) Accidents/Adverse Effects ,Drainage ,Neurology (clinical) ,Response to therapy ,Intracranial Hypertension ,business ,Injury - Traumatic brain injury ,External ventricular drain ,Original Work ,Biomarkers ,medicine.drug - Abstract
BackgroundPerforming a cerebrospinal fluid (CSF) drainage challenge can be used to measure the pressure equalization (PE) ratio, which describes the extent to which CSF drainage can equalize pressure to the height of the external ventricular drain and may serve as a correlate of cerebral edema. We sought to assess whether treatment with mannitol improves PE ratio in patients with severe traumatic brain injury (TBI) with elevated intracranial pressure (ICP).MethodsWe studied consecutive patients with TBI and brain edema on computed tomography scan and an external ventricular drain (EVD), admitted to the neurointensive care unit. PE ratio, defined as ICP prior to CSF drainage minus ICP after CSF drainage divided by ICP prior to CSF drainage minus EVD height, was measured as previously described. Patients were treated with mannitol for raised ICP based on clinical indication and PE ratio measured before and after mannitol administration.ResultsWe studied 20 patients with severe TBI with raised ICP. Mean ICP prior to mannitol treatment was 29 ± 7mm Hg. PE ratio rose substantially after mannitol treatment (0.62 ± 0.24 vs. 0.29 ± 0.20, p
- Published
- 2021
9. Emotional Resilience Predicts Preserved White Matter Microstructure Following Mild Traumatic Brain Injury
- Author
-
Lanya T. Cai, Benjamin L. Brett, Eva M. Palacios, Esther L. Yuh, Ioanna Bourla, Jamie Wren-Jarvis, Yang Wang, Christine Mac Donald, Ramon Diaz-Arrastia, Joseph T. Giacino, David O. Okonkwo, Harvey S. Levin, Claudia S. Robertson, Nancy Temkin, Amy J. Markowitz, Geoffrey T. Manley, Murray B. Stein, Michael A. McCrea, Ross D. Zafonte, Lindsay D. Nelson, Pratik Mukherjee, Adam R. Ferguson, Sabrina R. Taylor, John K. Yue, Ruchira Jha, Shankar Gopinath, Sonia Jain, Laura B. Ngwenya, Neeraj Badjatia, Rao Gullapalli, Frederick K. Korley, Ava M. Puccio, David Schnyer, Christopher Madden, Ramesh Grandhi, C. Dirk Keene, and Randall Merchant
- Subjects
Cognitive Neuroscience ,Radiology, Nuclear Medicine and imaging ,Neurology (clinical) ,Biological Psychiatry - Abstract
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 (ER) mTBI phenotype compared with a neuropsychiatrically distressed (ND) mTBI phenotype.The present study used diffusion MRI to investigate and compare WM microstructure in major association, projection, and commissural tracts between the two phenotypes and over time. Diffusion MR images from 172 mTBI patients were analyzed to compute individual diffusion tensor imaging (DTI) maps at 2 weeks and 6 months postinjury.By comparing the DTI parameters between the two phenotypes at global, regional, and voxel levels, the present study showed that the ER patients have higher axial diffusivity (AD) compared to their ND counterparts early after mTBI. Longitudinal analysis revealed greater compromise of WM microstructure in ND patients, with greater decrease of global AD and more widespread decrease of regional AD during the first 6 months after injury compared to their ER counterparts.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 diffusion MRI can provide short- and long-term imaging biomarkers of resilience.
- Published
- 2022
10. Central Curation of Glasgow Outcome Scale-Extended Data: Lessons Learned from TRACK-TBI
- Author
-
Sureyya Dikmen, Murray B. Stein, Joan Machamer, Nancy R. Temkin, Joseph T. Giacino, Kim Boase, Yelena G. Bodien, Michael McCrea, Amy J. Markowitz, Sabrina R Taylor, Gabriella Satris, Geoffrey T. Manley, Jason Barber, Lindsay Wilson, and Lindsay D. Nelson
- Subjects
Adult ,Male ,030506 rehabilitation ,medicine.medical_specialty ,Scoring criteria ,Glasgow Outcome Scale ,clinical outcome assessments ,Clinical knowledge ,03 medical and health sciences ,Disability Evaluation ,Young Adult ,0302 clinical medicine ,Documentation ,Brain Injuries, Traumatic ,Outcome Assessment, Health Care ,Medicine ,Humans ,central review ,Longitudinal Studies ,data curation ,Data curation ,business.industry ,traumatic brain injury ,Reproducibility of Results ,Original Articles ,Recovery of Function ,Middle Aged ,United States ,Clinical trial ,GOSE ,Functional Status ,Cohort ,Physical therapy ,Observational study ,Female ,Neurology (clinical) ,0305 other medical science ,business ,030217 neurology & neurosurgery - Abstract
The Glasgow Outcome Scale (GOS) in its original or extended (GOSE) form is the most widely used assessment of global disability in traumatic brain injury (TBI) research. Several publications have reported concerns about assessor scoring inconsistencies, but without documentation of contributing factors. We reviewed 6801 GOSE assessments collected longitudinally, across 18 sites in the 5-year, observational Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. We recorded error rates (i.e., corrections to a section or an overall rating) based on site assessor documentation and categorized scoring issues, which then informed further training. In cohort 1 (n = 1261; February 2014 to May 2016), 24% of GOSEs had errors identified by central review. In cohort 2 (n = 1130; June 2016 to July 2018), acquired after curation of cohort 1 data, feedback, and further training of site assessors, the error rate was reduced to 10%. GOSE sections associated with the most frequent interpretation and scoring difficulties included whether current functioning represented a change from pre-injury (466 corrected ratings in cohort 1; 62 in cohort 2), defining dependency in the home and community (163 corrections in cohort 1; three in cohort 2) and return to work/school (72 corrections in cohort 1; 35 in cohort 2). These results highlight the importance of central review in improving consistency across sites and over time. Establishing clear scoring criteria, coupled with ongoing guidance and feedback to data collectors, is essential to avoid scoring errors and resultant misclassification, which carry potential to result in "failure" of clinical trials that rely on the GOSE as their primary outcome measure.
- Published
- 2021
11. Predictors of Extreme Hospital Length of Stay After Traumatic Brain Injury
- Author
-
John K. Yue, Nishanth Krishnan, Lawrence Chyall, Alexander F. Haddad, Paloma Vega, David J. Caldwell, Gray Umbach, Evelyne Tantry, Phiroz E. Tarapore, Michael C. Huang, Geoffrey T. Manley, and Anthony M. DiGiorgio
- Subjects
Surgery ,Neurology (clinical) - Abstract
Hospital length of stay (HLOS) after traumatic brain injury (TBI) is an important metric of injury severity, resource utilization, and access to post-acute care services. Risk factors for protracted HLOS after TBI require further characterization.Data regarding adult inpatients admitted to a single U.S. level 1 trauma center with a diagnosis of acute TBI between August 1, 2019, and April 1, 2022, were extracted from the electronic health record. Patients with extreme HLOS (XHLOS,99th percentile of institutional TBI HLOS) were compared with those without XHLOS. Socioeconomic status (SES), clinical/injury factors, and discharge disposition were analyzed.In 1638 patients, the median HLOS was 3 days (interquartile range [IQR]: 2-8 days). XHLOS threshold was70 days (N = 18; range: 72-146 days). XHLOS was associated with younger age (XHLOS/non-XHLOS: 50.4/59.6 years; P = 0.042) and greater proportions with severe TBI (55.6%/11.4%; P0.001), low SES (72.2%/31.4%; P0.001), and Medicaid insurance (77.8%/30.1%; P0.001). XHLOS patients were more likely to die in hospital (22.2%/8.1%) and discharge to post-acute facility (77.8%/16.3%; P0.001). No XHLOS patients were discharged to home. In XHLOS patients alive at discharge, medical stability was documented at median 39 days (IQR: 28-58 days) and were hospitalized for another 56 days (IQR: 26.5-78.5 days).XHLOS patients were more likely to have severe injuries, low SES, and Medicaid. XHLOS is associated with in-hospital mortality and need for post-acute placement. XHLOS patients often demonstrated medical stability long before placement, underscoring complex relationships between SES, health insurance, and outcome. These findings have important implications for quality improvement and resource utilization at acute care hospitals and await validation from larger trials.
- Published
- 2022
12. Validity of the Brief Test of Adult Cognition by Telephone in Level 1 Trauma Center Patients Six Months Post-Traumatic Brain Injury: A TRACK-TBI Study
- Author
-
Lindsay D, Nelson, Jason K, Barber, Nancy R, Temkin, Kristen, Dams-O'Connor, Sureyya, Dikmen, Joseph T, Giacino, Mark D, Kramer, Harvey S, Levin, Michael A, McCrea, John, Whyte, Yelena G, Bodien, John K, Yue, Geoffrey T, Manley, and M, Zaben
- Subjects
Adult ,Male ,030506 rehabilitation ,Time Factors ,Traumatic brain injury ,Neuropsychological Tests ,03 medical and health sciences ,Cognition ,0302 clinical medicine ,Trauma Centers ,Brain Injuries, Traumatic ,Humans ,Medicine ,Prospective Studies ,Episodic memory ,business.industry ,Discriminant validity ,Neuropsychology ,Reproducibility of Results ,Construct validity ,Original Articles ,Middle Aged ,medicine.disease ,Confirmatory factor analysis ,Telephone ,nervous system diseases ,Cognitive test ,nervous system ,Mental Recall ,Female ,Neurology (clinical) ,Cognition Disorders ,0305 other medical science ,business ,030217 neurology & neurosurgery ,Follow-Up Studies ,Clinical psychology - Abstract
Our objective was to examine the construct validity of the Brief Test of Adult Cognition by Telephone (BTACT) and its relationship to traumatic brain injury (TBI) of differing severities. Data were analyzed on 1422 patients with TBI and 170 orthopedic trauma controls (OTC) from the multi-center Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Participants were assessed at 6 months post-injury with the BTACT and an in-person neuropsychological battery. We examined the BTACT's factor structure, factorial group invariance, convergent and discriminant validity, and relationship to TBI and TBI severity. Confirmatory factor analysis supported both a 1-factor model and a 2-factor model comprising correlated Episodic Memory and Executive Function (EF) factors. Both models demonstrated strict invariance across TBI severity and OTC groups. Correlations between BTACT and criterion measures suggested that the BTACT memory indices predominantly reflect verbal episodic memory, whereas the BTACT EF factor correlated with a diverse range of cognitive tests. Although the EF factor and other BTACT indices showed significant relationships with TBI and TBI severity, some group effect sizes were larger for more comprehensive in-person cognitive tests than the BTACT. The BTACT is a promising, brief, phone-based cognitive screening tool for patients with TBI. Although the BTACT's memory items appear to index verbal Episodic Memory, items that purport to assess EFs may reflect a broader array of cognitive domains. The sensitivity of the BTACT to TBI severity is lower than domain-specific neuropsychological measures, suggesting it should not be used as a substitute for comprehensive, in-person cognitive testing at 6 months post-TBI.
- Published
- 2021
13. Aquaporin-4 Reduces Post-Traumatic Seizure Susceptibility by Promoting Astrocytic Glial Scar Formation in Mice
- Author
-
Daniel C. Lu, Jinghua Yao, Zsolt Zador, Farbod Fazlollahi, and Geoffrey T. Manley
- Subjects
Traumatic brain injury ,Ischemia ,Epileptogenesis ,Glial scar ,Cicatrix ,Mice ,Post-traumatic seizure ,Epilepsy ,Seizures ,Brain Injuries, Traumatic ,medicine ,Animals ,Aquaporin 4 ,Mice, Knockout ,business.industry ,Original Articles ,medicine.disease ,medicine.anatomical_structure ,Astrocytes ,Anesthesia ,Neurology (clinical) ,medicine.symptom ,business ,Neuroglia ,Astrocyte - Abstract
Seizures are important neurological complications after traumatic brain injury (TBI) and are reported for up to 50% of patients with TBI. Despite several studies, no drug strategy has been able to alter the biological events leading to epileptogenesis. The glial water channel, aquaporin-4 (AQP4), was shown to facilitate cytotoxic cell swelling in ischemia and glial scar formation after stab wound injury. In this study, we examined post-traumatic seizure susceptibility of AQP4-deficient mice (AQP4(–/–)) after injection of pentylenetetrazole (PTZ) 1 month after controlled cortical impact (CCI) and compared them to wild-type sham injury controls. After PTZ injection, AQP4(–/–) mice demonstrated dramatically shortened seizure latency (120 ± 40 vs. 300 ± 70 sec; p 0.05) and severity of seizures evoked by PTZ (grade 4.0 ± 0.5 vs. 3.81 ± 0.30; p > 0.05) compared to wild-type counterparts. Immunohistochemical analysis demonstrated decreased immunostaining of microglia to levels comparable to wild-type (12 ± 2 vs. 11 ± 4 cells/hpf, respectively; p > 0.05). Taken together, these results suggest a protective role of AQP4 in post-traumatic seizure susceptibility by promoting astrogliosis, formation of a glial scar, and preventing microgliosis.
- Published
- 2021
14. 402 Disparities in Traumatic Brain Injury Patients’ Length of Stay: An Analysis of NTDB Data
- Author
-
Evelyne Kezia Tantry, John K. Yue, Nishanth Krishnan, Oleksandr Strelko, Ergi Spiro, Phiroz E. Tarapore, Alexander F. Haddad, Michael C. Huang, Geoffrey T. Manley, and Anthony Michael DiGiorgio
- Subjects
Surgery ,Neurology (clinical) - Published
- 2023
15. Injury volume extracted from MRI predicts neurologic outcome in acute spinal cord injury: A prospective TRACK-SCI pilot study
- Author
-
Vineeta Singh, William D. Whetstone, Jacqueline C. Bresnahan, Jason F. Talbott, John F. Burke, Michael S. Beattie, J. Russell Huie, Cleopa Omondi, Xuan Duong-Fernandez, Nikos Kyritsis, Geoffrey T. Manley, Anthony M DiGiorgio, Julien Cohen-Adad, Debra D. Hemmerle, Phillip R. Weinstein, Sanjay S. Dhall, Abel Torres-Espín, Mark Harris, Nikhil Mummaneni, Leigh H. Thomas, Jonathan Z. Pan, Lisa U. Pascual, and Adam R. Ferguson
- Subjects
Adult ,Male ,medicine.medical_specialty ,Cord ,Pilot Projects ,law.invention ,Intramedullary rod ,Lesion ,03 medical and health sciences ,0302 clinical medicine ,law ,Physiology (medical) ,Image Processing, Computer-Assisted ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Spinal cord injury ,Spinal Cord Injuries ,medicine.diagnostic_test ,business.industry ,Magnetic resonance imaging ,General Medicine ,Middle Aged ,Prognosis ,medicine.disease ,Spinal cord ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Spinal Cord ,Neurology ,030220 oncology & carcinogenesis ,Female ,Surgery ,Neurology (clinical) ,Radiology ,Abnormality ,medicine.symptom ,business ,Spinal Cord Compression ,030217 neurology & neurosurgery - Abstract
Conventional MRI measures of traumatic spinal cord injury severity largely rely on 2-dimensional injury characteristics such as intramedullary lesion length and cord compression. Recent advances in spinal cord (SC) analysis have led to the development of a robust anatomic atlas incorporated into an open-source platform called the Spinal Cord Toolbox (SCT) that allows for quantitative volumetric injury analysis. In the current study, we evaluate the prognostic value of volumetric measures of spinal cord injury on MRI following registration of T2-weighted (T2w) images and segmented lesions from acute SCI patients with a standardized atlas. This IRB-approved prospective cohort study involved the image analysis of 60 blunt cervical SCI patients enrolled in the TRACK-SCI clinical research protocol. Axial T2w MRI data obtained within 24 h of injury were processed using the SCT. Briefly, SC MRIs were automatically segmented using the sct_deepseg_sc tool in the SCT and segmentations were manually corrected by a neuro-radiologist. Lesion volume data were used as predictor variables for correlation with lower extremity motor scores at discharge. Volumetric MRI measures of T2w signal abnormality comprising the SCI lesion accurately predict lower extremity motor scores at time of patient discharge. Similarly, MRI measures of injury volume significantly correlated with motor scores to a greater degree than conventional 2-D metrics of lesion size. The volume of total injury and of injured spinal cord motor regions on T2w MRI is significantly and independently associated with neurologic outcome at discharge after injury.
- Published
- 2020
16. Is the Centers for Medicare and Medicaid Services Hierarchical Condition Category Risk Adjustment Model Satisfactory for Quantifying Risk After Spine Surgery?
- Author
-
Andrew K. Chan, Shane Shahrestani, Alexander M. Ballatori, Katie O. Orrico, Geoffrey T. Manley, Phiroz E. Tarapore, Michael Huang, Sanjay S. Dhall, Dean Chou, Praveen V. Mummaneni, and Anthony M. DiGiorgio
- Subjects
Spinal ,U.S ,Clinical Sciences ,Medicare ,Centers for Medicare and Medicaid Services, U.S ,Centers for Medicare and Medicaid ,Rare Diseases ,Spine surgery ,Clinical Research ,Behavioral and Social Science ,Humans ,Risk stratification ,Aged ,Neurology & Neurosurgery ,Prevention ,Neurosciences ,Health Services ,Length of Stay ,Centers for Medicare and Medicaid Services ,United States ,Good Health and Well Being ,Spinal Fusion ,Surgery ,Risk Adjustment ,Neurology (clinical) ,Digestive Diseases ,Hierarchical condition category - Abstract
The Centers for Medicare and Medicaid Services (CMS) hierarchical condition category (HCC) coding is a risk adjustment model that allows for the estimation of risk—and cost—associated with health care provision. Current models may not include key factors that fully delineate the risk associated with spine surgery. OBJECTIVE: To augment CMS HCC risk adjustment methodology with socioeconomic data to improve its predictive capabilities for spine surgery. METHODS: The National Inpatient Sample was queried for spinal fusion, and the data was merged with county-level coverage and socioeconomic status variables obtained from the Brookings Institute. We predicted outcomes (death, nonroutine discharge, length of stay [LOS], total charges, and perioperative complication) with pairs of hierarchical, mixed effects logistic regression models—one using CMS HCC score alone and another augmenting CMS HCC scores with demographic and socioeconomic status variables. Models were compared using receiver operating characteristic curves. Variable importance was assessed in conjunction with Wald testing for model optimization. RESULTS: We analyzed 653 815 patients. Expanded models outperformed models using CMS HCC score alone for mortality, nonroutine discharge, LOS, total charges, and complications. For expanded models, variable importance analyses demonstrated that CMS HCC score was of chief importance for models of mortality, LOS, total charges, and complications. For the model of nonroutine discharge, age was the most important variable. For the model of total charges, unemployment rate was nearly as important as CMS HCC score. CONCLUSION: The addition of key demographic and socioeconomic characteristics substantially improves the CMS HCC risk-adjustment models when modeling spinal fusion outcomes. This finding may have important implications for payers, hospitals, and policymakers.
- Published
- 2022
17. Incidence and Clinical Impact of Myocardial Injury Following Traumatic Brain Injury: A Pilot TRACK-TBI Study
- Author
-
Track-Tbi Investigators, Brandon Foreman, Daniel T. Laskowitz, Monica S. Vavilala, Frederick K. Korley, Sonia Jain, Jordan M. Komisarow, Joseph P. Mathew, Adrian F. Hernandez, Vijay Krishnamoorthy, Amy J. Markowitz, Shelly Sun, Geoffrey T. Manley, and Michael L. James
- Subjects
Male ,Traumatic ,Pilot Projects ,Cohort Studies ,Interquartile range ,Anesthesiology ,Brain Injuries, Traumatic ,Psychology ,myocardial injury ,Prospective Studies ,Good outcome ,Prospective cohort study ,biology ,Incidence (epidemiology) ,Incidence ,traumatic brain injury ,Rehabilitation ,Injuries and accidents ,trauma ,outcome ,medicine.symptom ,Cohort study ,Adult ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Traumatic brain injury ,TRACK-TBI Investigators ,Clinical Sciences ,Traumatic Brain Injury (TBI) ,Article ,Clinical Research ,Internal medicine ,high sensitivity troponin ,medicine ,Humans ,Glasgow Coma Scale ,Traumatic Head and Spine Injury ,business.industry ,Prevention ,Organ dysfunction ,Neurosciences ,medicine.disease ,Troponin ,nervous system diseases ,Brain Disorders ,Anesthesiology and Pain Medicine ,nervous system ,Brain Injuries ,biology.protein ,Surgery ,Neurology (clinical) ,business - Abstract
Background Traumatic brain injury (TBI) is a major global health problem. Little research has addressed extracranial organ dysfunction following TBI, particularly myocardial injury. Using a sensitive marker of myocardial injury-high sensitivity troponin (hsTn)-we examined the incidence of early myocardial injury following TBI and explored its association with neurological outcomes following moderate-severe TBI. Methods We conducted a pilot cohort study of 133 adult (age above 17 y) subjects enrolled in the TRACK-TBI 18-center prospective cohort study. Descriptive statistics were used to examine the incidence of myocardial injury (defined as hsTn >99th percentile for a standardized reference population) across TBI severities, and to explore the association of myocardial injury with a 6-month extended Glasgow Outcome Score among patients with moderate-severe TBI. Results The mean (SD) age of the participants was 44 (17) years, and 87 (65%) were male. Twenty-six patients (20%) developed myocardial injury following TBI; myocardial injury was present in 15% of mild TBI patients and 29% of moderate-severe TBI patients (P=0.13). Median (interquartile range) hsTn values were 3.8 ng/L (2.1, 9.0), 5.8 ng/L (4.5, 34.6), and 10.2 ng/L (3.0, 34.0) in mild, moderate, and severe TBI participants, respectively (P=0.04). Overall, 11% of participants with moderate-severe TBI and myocardial injury experienced a good outcome (6-mo extended Glasgow Outcome Score≥5) at 6 months, compared with 65% in the group that did not experience myocardial injury (P=0.01). Conclusions Myocardial injury is common following TBI, with a likely dose-response relationship with TBI severity. Early myocardial injury was associated with poor 6-month clinical outcomes following moderate-severe TBI.
- Published
- 2022
18. Risk Factors for Suicidal Ideation Following Mild Traumatic Brain Injury: A TRACK-TBI Study
- Author
-
Lauren B. Fisher, Michael McCrea, Joseph T. Giacino, Geoffrey T. Manley, Laura Campbell-Sills, Track-Tbi Investigators, Murray B. Stein, Nancy R. Temkin, Xiaoying Sun, Esther L. Yuh, Sureyya S. Dikmen, Lindsay D. Nelson, Sonia Jain, and Stephanie Agtarap
- Subjects
Traumatic ,030506 rehabilitation ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Traumatic brain injury ,TRACK-TBI Investigators ,Physical Therapy, Sports Therapy and Rehabilitation ,Traumatic Brain Injury (TBI) ,Medical and Health Sciences ,Article ,Suicidal Ideation ,03 medical and health sciences ,0302 clinical medicine ,Psychiatric history ,Clinical Research ,Risk Factors ,Internal medicine ,Brain Injuries, Traumatic ,medicine ,Humans ,Glasgow Coma Scale ,Suicidal ideation ,Traumatic Head and Spine Injury ,Brain Concussion ,Depression (differential diagnoses) ,Depression ,business.industry ,Prevention ,postconcussive symptoms ,traumatic brain injury ,Psychology and Cognitive Sciences ,Rehabilitation ,Neurosciences ,Injuries and accidents ,Odds ratio ,Rivermead post-concussion symptoms questionnaire ,medicine.disease ,Brain Disorders ,Patient Health Questionnaire ,Suicide ,Mental Health ,Brain Injuries ,concussion ,Neurology (clinical) ,medicine.symptom ,0305 other medical science ,business ,030217 neurology & neurosurgery - Abstract
OBJECTIVE To identify risk factors for suicidal ideation (SI) following mild traumatic brain injury (mTBI). SETTING Eleven US level 1 trauma centers. PARTICIPANTS A total of 1158 emergency department patients with mTBI (Glasgow Coma Scale score = 13-15) enrolled in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study. DESIGN Prospective observational study; weights-adjusted multivariable logistic regression models (n's = 727-883) estimated associations of baseline factors and post-TBI symptoms with SI at 2 weeks and 3, 6, and 12 months postinjury. MAIN MEASURES Patient Health Questionnaire, Rivermead Post-Concussion Symptoms Questionnaire. RESULTS Preinjury psychiatric history predicted SI at all follow-ups (adjusted odds ratios [AORs] = 2.26-6.33, P values
- Published
- 2020
19. Clinical Implementation of Novel Spinal Cord Perfusion Pressure Protocol in Acute Traumatic Spinal Cord Injury at U.S. Level I Trauma Center: TRACK-SCI Study
- Author
-
Ethan A. Winkler, William D. Whetstone, Leigh H. Thomas, Xuan Duong Fernandez, John K. Yue, Jason F. Talbott, Sanjay S. Dhall, Debra D. Hemmerle, Praveen V. Mummaneni, Vineeta Singh, Jonathan Z. Pan, Michael S. Beattie, Nikolaos Kyritsis, Lisa U. Pascual, J. Russell Huie, Adam R. Ferguson, Jacqueline C. Bresnahan, Philip Weinstein, and Geoffrey T. Manley
- Subjects
Mean arterial pressure ,Traumatic spinal cord injury ,Thoracic Vertebrae ,03 medical and health sciences ,Surgical decompression ,0302 clinical medicine ,Blunt ,Clinical Protocols ,Trauma Centers ,Cerebrospinal Fluid Pressure ,Ischemia ,medicine ,Humans ,Vasoconstrictor Agents ,Infusions, Intravenous ,Spinal cord injury ,Spinal Cord Injuries ,Aged ,business.industry ,Trauma center ,Laminectomy ,Standard of Care ,Middle Aged ,Decompression, Surgical ,Spinal cord ,medicine.disease ,Combined Modality Therapy ,Treatment Outcome ,medicine.anatomical_structure ,Spinal Cord ,030220 oncology & carcinogenesis ,Anesthesia ,Cervical Vertebrae ,Drainage ,Fluid Therapy ,Surgery ,Neurology (clinical) ,business ,Perfusion ,030217 neurology & neurosurgery - Abstract
We sought to report the safety of implementation of a novel standard of care protocol using spinal cord perfusion pressure (SCPP) maintenance for managing traumatic spinal cord injury (SCI) in lieu of mean arterial pressure goals at a U.S. Level I trauma center.Starting in December 2017, blunt SCI patients presenting24 hours after injury with admission American Spinal Injury Association Impairment Scale (AIS) A-C (or AIS D at neurosurgeon discretion) received lumbar subarachnoid drain (LSAD) placement for SCPP monitoring in the intensive care unit and were included in the TRACK-SCI (Transforming Research and Clinical Knowledge in Spinal Cord Injury) data registry. This SCPP protocol comprises standard care at our institution. SCPPs were monitored for 5 days (goal ≥65 mm Hg) achieved through intravenous fluids and vasopressor support. AISs were assessed at admission and day 7.Fifteen patients enrolled to date were aged 60.5 ± 17 years. Injury levels were 93.3% (cervical) and 6.7% (thoracic). Admission AIS was 20.0%/20.0%/26.7%/33.3% for A/B/C/D. All patients maintained mean SCPP ≥65 mm Hg during monitoring. Fourteen of 15 cases required surgical decompression and stabilization with time to surgery 8.8 ± 7.1 hours (71.4%12 hours). At day 7, 33.3% overall and 50% of initial AIS A-C had an improved AIS. Length of stay was 14.7 ± 8.3 days. None had LSAD-related complications. There were 7 respiratory complications. One patient expired after transfer to comfort care.In our initial experience of 15 patients with acute SCI, standardized SCPP goal-directed care based on LSAD monitoring for 5 days was feasible. There were no SCPP-related complications. This is the first report of SCPP implementation as clinical standard of care in acute SCI.
- Published
- 2020
20. Blood GFAP as an emerging biomarker in brain and spinal cord disorders
- Author
-
Ahmed Abdelhak, Matteo Foschi, Samir Abu-Rumeileh, John K. Yue, Lucio D’Anna, Andre Huss, Patrick Oeckl, Albert C. Ludolph, Jens Kuhle, Axel Petzold, Geoffrey T. Manley, Ari J. Green, Markus Otto, and Hayrettin Tumani
- Subjects
Cellular and Molecular Neuroscience ,nervous system ,Glial Fibrillary Acidic Protein ,Intermediate Filaments ,Brain ,Humans ,macromolecular substances ,Neurology (clinical) ,ddc:610 ,diagnosis [Spinal Cord Diseases] ,Spinal Cord Diseases ,Biomarkers - Abstract
Blood-derived biomarkers for brain and spinal cord diseases are urgently needed. The introduction of highly sensitive immunoassays led to a rapid increase in the number of potential blood-derived biomarkers for diagnosis and monitoring of neurological disorders. In 2018, the FDA authorized a blood test for clinical use in the evaluation of mild traumatic brain injury (TBI). The test measures levels of the astrocytic intermediate filament glial fibrillary acidic protein (GFAP) and neuroaxonal marker ubiquitin carboxy-terminal hydrolase L1. In TBI, blood GFAP levels are correlated with clinical severity and extent of intracranial pathology. Evidence also indicates that blood GFAP levels hold the potential to reflect, and might enable prediction of, worsening of disability in individuals with progressive multiple sclerosis. A growing body of evidence suggests that blood GFAP levels can be used to detect even subtle injury to the CNS. Most importantly, the successful completion of the ongoing validation of point-of-care platforms for blood GFAP might ameliorate the decision algorithms for acute neurological diseases, such as TBI and stroke, with important economic implications. In this Review, we provide a systematic overview of the evidence regarding the utility of blood GFAP as a biomarker in neurological diseases. We propose a model for GFAP concentration dynamics in different conditions and discuss the limitations that hamper the widespread use of GFAP in the clinical setting. In our opinion, the clinical use of blood GFAP measurements has the potential to contribute to accelerated diagnosis and improved prognostication, and represents an important step forward in the era of precision medicine.
- Published
- 2022
21. Traumatic brain injury : progress and challenges in prevention, clinical care, and research
- Author
-
Andrew I R Maas, David K Menon, Geoffrey T Manley, Mathew Abrams, Cecilia Åkerlund, Nada Andelic, Marcel Aries, Tom Bashford, Michael J Bell, Yelena G Bodien, Benjamin L Brett, András Büki, Randall M Chesnut, Giuseppe Citerio, David Clark, Betony Clasby, D Jamie Cooper, Endre Czeiter, Marek Czosnyka, Kristen Dams-O'Connor, Véronique De Keyser, Ramon Diaz-Arrastia, Ari Ercole, Thomas A van Essen, Éanna Falvey, Adam R Ferguson, Anthony Figaji, Melinda Fitzgerald, Brandon Foreman, Dashiell Gantner, Guoyi Gao, Joseph Giacino, Benjamin Gravesteijn, Fabian Guiza, Deepak Gupta, Mark Gurnell, Juanita A Haagsma, Flora M Hammond, Gregory Hawryluk, Peter Hutchinson, Mathieu van der Jagt, Sonia Jain, Swati Jain, Ji-yao Jiang, Hope Kent, Angelos Kolias, Erwin J O Kompanje, Fiona Lecky, Hester F Lingsma, Marc Maegele, Marek Majdan, Amy Markowitz, Michael McCrea, Geert Meyfroidt, Ana Mikolić, Stefania Mondello, Pratik Mukherjee, David Nelson, Lindsay D Nelson, Virginia Newcombe, David Okonkwo, Matej Orešič, Wilco Peul, Dana Pisică, Suzanne Polinder, Jennie Ponsford, Louis Puybasset, Rahul Raj, Chiara Robba, Cecilie Røe, Jonathan Rosand, Peter Schueler, David J Sharp, Peter Smielewski, Murray B Stein, Nicole von Steinbüchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Nancy Temkin, Olli Tenovuo, Alice Theadom, Ilias Thomas, Abel Torres Espin, Alexis F Turgeon, Andreas Unterberg, Dominique Van Praag, Ernest van Veen, Jan Verheyden, Thijs Vande Vyvere, Kevin K W Wang, Eveline J A Wiegers, W Huw Williams, Lindsay Wilson, Stephen R Wisniewski, Alexander Younsi, John K Yue, Esther L Yuh, Frederick A Zeiler, Marina Zeldovich, Roger Zemek, InTBIR Participants and Investigators, Maas, A, Menon, D, Manley, G, Abrams, M, Åkerlund, C, Andelic, N, Aries, M, Bashford, T, Bell, M, Bodien, Y, Brett, B, Büki, A, Chesnut, R, Citerio, G, Clark, D, Clasby, B, Cooper, D, Czeiter, E, Czosnyka, M, Dams-O'Connor, K, De Keyser, V, Diaz-Arrastia, R, Ercole, A, van Essen, T, Falvey, É, Ferguson, A, Figaji, A, Fitzgerald, M, Foreman, B, Gantner, D, Gao, G, Giacino, J, Gravesteijn, B, Guiza, F, Gupta, D, Gurnell, M, Haagsma, J, Hammond, F, Hawryluk, G, Hutchinson, P, van der Jagt, M, Jain, S, Jiang, J, Kent, H, Kolias, A, Kompanje, E, Lecky, F, Lingsma, H, Maegele, M, Majdan, M, Markowitz, A, Mccrea, M, Meyfroidt, G, Mikolić, A, Mondello, S, Mukherjee, P, Nelson, D, Nelson, L, Newcombe, V, Okonkwo, D, Orešič, M, Peul, W, Pisică, D, Polinder, S, Ponsford, J, Puybasset, L, Raj, R, Robba, C, Røe, C, Rosand, J, Schueler, P, Sharp, D, Smielewski, P, Stein, M, von Steinbüchel, N, Stewart, W, Steyerberg, E, Stocchetti, N, Temkin, N, Tenovuo, O, Theadom, A, Thomas, I, Espin, A, Turgeon, A, Unterberg, A, Van Praag, D, van Veen, E, Verheyden, J, Vyvere, T, Wang, K, Wiegers, E, Williams, W, Wilson, L, Wisniewski, S, Younsi, A, Yue, J, Yuh, E, Zeiler, F, Zeldovich, M, Zemek, R, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Intensive Care, and MUMC+: MA Medische Staf IC (9)
- Subjects
NEUROTRAUMA EFFECTIVENESS RESEARCH ,OUTCOME PREDICTION ,PREHOSPITAL TRIAGE TOOLS ,COMMON DATA ELEMENTS ,Violence ,INTENSIVE-CARE ,CEREBRAL PERFUSION-PRESSURE ,POSTTRAUMATIC-STRESS-DISORDER ,Cost of Illness ,LIFE-SUSTAINING THERAPY ,CT HEAD RULE ,Brain Injuries, Traumatic ,Humans ,Neurology (clinical) ,MAJOR TRAUMA ,Human medicine ,Sports - Abstract
Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term consequences, including an increased risk of late-onset neurodegeneration. The first Lancet Neurology Commission on TBI, published in 2017, called for a concerted effort to tackle the global health problem posed by TBI. Since then, funding agencies have supported research both in high-income countries (HICs) and in low-income and middle-income countries (LMICs). In November 2020, the World Health Assembly, the decision-making body of WHO, passed resolution WHA73.10 for global actions on epilepsy and other neurological disorders, and WHO launched the Decade for Action on Road Safety plan in 2021. New knowledge has been generated by large observational studies, including those conducted under the umbrella of the International Traumatic Brain Injury Research (InTBIR) initiative, established as a collaboration of funding agencies in 2011. InTBIR has also provided a huge stimulus to collaborative research in TBI and has facilitated participation of global partners. The return on investment has been high, but many needs of patients with TBI remain unaddressed. This update to the 2017 Commission presents advances and discusses persisting and new challenges in prevention, clinical care, and research.
- Published
- 2022
22. Effect of frailty on 6-month outcome after traumatic brain injury: a multicentre cohort study with external validation
- Author
-
Stefania Galimberti, Francesca Graziano, Andrew I R Maas, Giulia Isernia, Fiona Lecky, Sonia Jain, Xiaoying Sun, Raquel C Gardner, Sabrina R Taylor, Amy J Markowitz, Geoffrey T Manley, Maria Grazia Valsecchi, Giuseppe Bellelli, Giuseppe Citerio, Cecilia Ackerlund, Hadie Adams, Krisztina Amrein, Nada Andelic, Lasse Andreassen, Audny Anke, Anna Antoni, Gérard Audibert, Philippe Azouvi, Maria Luisa Azzolini, Ronald Bartels, Pál Barzó, Romuald Beauvais, Ronny Beer, Bo-Michael Bellander, Antonio Belli, Habib Benali, Maurizio Berardino, Luigi Beretta, Morten Blaabjerg, Peter Bragge, Alexandra Brazinova, Vibeke Brinck, Joanne Brooker, Camilla Brorsson, Andras Buki, Monika Bullinger, Manuel Cabeleira, Alessio Caccioppola, Emiliana Calappi, Maria Rosa Calvi, Peter Cameron, Guillermo Carbayo Lozano, Marco Carbonara, Ana M. Castaño-León, Simona Cavallo, Giorgio Chevallard, Arturo Chieregato, Hans Clusmann, Mark Steven Coburn, Jonathan Coles, Jamie D. Cooper, Marta Correia, Amra Covic, Nicola Curry, Endre Czeiter, Marek Czosnyka, Claire Dahyot-Fizelier, Paul Dark, Helen Dawes, Véronique De Keyser, Vincent Degos, Francesco Della Corte, Hugo den Boogert, Bart Depreitere, Đula Đilvesi, Abhishek Dixit, Emma Donoghue, Jens Dreier, Guy-Loup Dulière, Ari Ercole, Patrick Esser, Erzsébet Ezer, Martin Fabricius, Valery L. Feigin, Kelly Foks, Shirin Frisvold, Alex Furmanov, Pablo Gagliardo, Damien Galanaud, Dashiell Gantner, Guoyi Gao, Pradeep George, Alexandre Ghuysen, Lelde Giga, Ben Glocker, Jagoš Golubovic, Pedro A. Gomez, Johannes Gratz, Benjamin Gravesteijn, Francesca Grossi, Russell L. Gruen, Deepak Gupta, Juanita A. Haagsma, Iain Haitsma, Raimund Helbok, Eirik Helseth, Lindsay Horton, Jilske Huijben, Peter J. Hutchinson, Bram Jacobs, Stefan Jankowski, Mike Jarrett, Ji-yao Jiang, Faye Johnson, Kelly Jones, Mladen Karan, Angelos G. Kolias, Erwin Kompanje, Daniel Kondziella, Lars-Owe Koskinen, Noémi Kovács, Ana Kowark, Alfonso Lagares, Linda Lanyon, Steven Laureys, Didier Ledoux, Rolf Lefering, Valerie Legrand, Aurelie Lejeune, Leon Levi, Roger Lightfoot, Hester Lingsma, Marc Maegele, Marek Majdan, Alex Manara, Hugues Maréchal, Costanza Martino, Julia Mattern, Charles McFadyen, Catherine McMahon, Béla Melegh, David Menon, Tomas Menovsky, Ana Mikolic, Benoit Misset, Visakh Muraleedharan, Lynnette Murray, Ancuta Negru, David Nelson, Virginia Newcombe, Daan Nieboer, József Nyirádi, Matej Oresic, Fabrizio Ortolano, Olubukola Otesile, Aarno Palotie, Paul M. Parizel, Jean-François Payen, Natascha Perera, Vincent Perlbarg, Paolo Persona, Wilco Peul, Anna Piippo-Karjalainen, Matti Pirinen, Dana Pisica, Horia Ples, Suzanne Polinder, Inigo Pomposo, Jussi P. Posti, Louis Puybasset, Andreea Radoi, Arminas Ragauskas, Rahul Raj, Malinka Rambadagalla, Veronika Rehorčíková, Isabel Retel Helmrich, Jonathan Rhodes, Sylvia Richardson, Sophie Richter, Samuli Ripatti, Saulius Rocka, Cecilie Roe, Olav Roise, Jeffrey Rosenfeld, Christina Rosenlund, Guy Rosenthal, Rolf Rossaint, Sandra Rossi, Daniel Rueckert, Martin Rusnák, Juan Sahuquillo, Oliver Sakowitz, Renan Sanchez-Porras, Janos Sandor, Nadine Schäfer, Silke Schmidt, Herbert Schoechl, Guus Schoonman, Rico Frederik Schou, Elisabeth Schwendenwein, Charlie Sewalt, Ranjit D. Singh, Toril Skandsen, Peter Smielewski, Abayomi Sorinola, Emmanuel Stamatakis, Simon Stanworth, Robert Stevens, William Stewart, Ewout W. Steyerberg, Nino Stocchetti, Nina Sundström, Riikka Takala, Viktória Tamás, Tomas Tamosuitis, Mark Steven Taylor, Braden Te Ao, Olli Tenovuo, Alice Theadom, Matt Thomas, Dick Tibboel, Marjolijn Timmers, Christos Tolias, Tony Trapani, Cristina Maria Tudora, Andreas Unterberg, Peter Vajkoczy, Egils Valeinis, Shirley Vallance, Zoltán Vámos, Mathieu van der Jagt, Joukje van der Naalt, Gregory Van der Steen, Jeroen T.J.M. van Dijck, Inge A. van Erp, Thomas A. van Essen, Wim Van Hecke, Caroline van Heugten, Dominique Van Praag, Ernest van Veen, Roel van Wijk, Thijs Vande Vyvere, Alessia Vargiolu, Emmanuel Vega, Kimberley Velt, Jan Verheyden, Paul M. Vespa, Anne Vik, Rimantas Vilcinis, Victor Volovici, Nicole von Steinbüchel, Daphne Voormolen, Peter Vulekovic, Kevin K.W. Wang, Eveline Wiegers, Guy Williams, Lindsay Wilson, Stefan Wolf, Zhihui Yang, Peter Ylén, Alexander Younsi, Frederick A. Zeiler, Agate Ziverte, Tommaso Zoerle, Opeolu Adeoye, Neeraj Badjatia, Jason Barber, Michael Bergin, Kim Boase, Yelena Bodien, Randall Chesnut, John Corrigan, Karen Crawford, Ramon Diaz-Arrastia, Sureyya Dikmen, Ann-Christine Duhaime, Richard Ellenbogen, Venkata Feeser, Adam R Ferguson, Brandon Foreman, Etienne Gaudette, Joseph Giacino, Luis Gonzalez, Shankar Gopinath, Ramesh Grandhi, Rao Gullapalli, Claude Hemphill, Gillian Hotz, Russell Huie, Ruchira Jha, C. Dirk Keene, Ryan Kitagawa, Frederick Korley, Joel Kramer, Natalie Kreitzer, Harvey Levin, Chris Lindsell, Joan Machamer, Christopher Madden, Alastair Martin, Thomas McAllister, Michael McCrea, Randall Merchant, Pratik Mukherjee, Lindsay Nelson, Laura B. Ngwenya, Florence Noel, Amber Nolan, David Okonkwo, Eva Palacios, Daniel Perl, Ava Puccio, Miri Rabinowitz, Claudia Robertson, Richard Ben Rodgers, Jonathan Rosand, Eric Rosenthal, Angelle Sander, Danielle Sandsmark, Gabriella Sugar, Andrea Schneider, David Schnyer, Seth Seabury, Mark Sherer, Murray Stein, Nancy Temkin, Arthur Toga, Abel Torres-Espin, Alex Valadka, Mary Vassar, Kevin Wang, Vincent Wang, John K. Yue, Esther Yuh, Ross Zafonte, Galimberti, S, Graziano, F, Maas, A, Isernia, G, Lecky, F, Jain, S, Sun, X, Gardner, R, Taylor, S, Markowitz, A, Manley, G, Valsecchi, M, Bellelli, G, Citerio, G, Ackerlund, C, Adams, H, Amrein, K, Andelic, N, Andreassen, L, Anke, A, Antoni, A, Audibert, G, Azouvi, P, Azzolini, M, Bartels, R, Barzo, P, Beauvais, R, Beer, R, Bellander, B, Belli, A, Benali, H, Berardino, M, Beretta, L, Blaabjerg, M, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Cabeleira, M, Caccioppola, A, Calappi, E, Calvi, M, Cameron, P, Carbayo Lozano, G, Carbonara, M, Castano-Leon, A, Cavallo, S, Chevallard, G, Chieregato, A, Clusmann, H, Coburn, M, Coles, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Dark, P, Dawes, H, De Keyser, V, Degos, V, Della Corte, F, den Boogert, H, Depreitere, B, Dilvesi, D, Dixit, A, Donoghue, E, Dreier, J, Duliere, G, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Foks, K, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gantner, D, Gao, G, George, P, Ghuysen, A, Giga, L, Glocker, B, Golubovic, J, Gomez, P, Gratz, J, Gravesteijn, B, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Haitsma, I, Helbok, R, Helseth, E, Horton, L, Huijben, J, Hutchinson, P, Jacobs, B, Jankowski, S, Jarrett, M, Jiang, J, Johnson, F, Jones, K, Karan, M, Kolias, A, Kompanje, E, Kondziella, D, Koskinen, L, Kovacs, N, Kowark, A, Lagares, A, Lanyon, L, Laureys, S, Ledoux, D, Lefering, R, Legrand, V, Lejeune, A, Levi, L, Lightfoot, R, Lingsma, H, Maegele, M, Majdan, M, Manara, A, Marechal, H, Martino, C, Mattern, J, Mcfadyen, C, Mcmahon, C, Melegh, B, Menon, D, Menovsky, T, Mikolic, A, Misset, B, Muraleedharan, V, Murray, L, Negru, A, Nelson, D, Newcombe, V, Nieboer, D, Nyiradi, J, Oresic, M, Ortolano, F, Otesile, O, Palotie, A, Parizel, P, Payen, J, Perera, N, Perlbarg, V, Persona, P, Peul, W, Piippo-Karjalainen, A, Pirinen, M, Pisica, D, Ples, H, Polinder, S, Pomposo, I, Posti, J, Puybasset, L, Radoi, A, Ragauskas, A, Raj, R, Rambadagalla, M, Rehorcikova, V, Retel Helmrich, I, Rhodes, J, Richardson, S, Richter, S, Ripatti, S, Rocka, S, Roe, C, Roise, O, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rueckert, D, Rusnak, M, Sahuquillo, J, Sakowitz, O, Sanchez-Porras, R, Sandor, J, Schafer, N, Schmidt, S, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Sewalt, C, Singh, R, Skandsen, T, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Stevens, R, Stewart, W, Steyerberg, E, Stocchetti, N, Sundstrom, N, Takala, R, Tamas, V, Tamosuitis, T, Taylor, M, Te Ao, B, Tenovuo, O, Theadom, A, Thomas, M, Tibboel, D, Timmers, M, Tolias, C, Trapani, T, Tudora, C, Unterberg, A, Vajkoczy, P, Valeinis, E, Vallance, S, Vamos, Z, van der Jagt, M, van der Naalt, J, Van der Steen, G, van Dijck, J, van Erp, I, van Essen, T, Van Hecke, W, van Heugten, C, Van Praag, D, van Veen, E, van Wijk, R, Vande Vyvere, T, Vargiolu, A, Vega, E, Velt, K, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Volovici, V, von Steinbuchel, N, Voormolen, D, Vulekovic, P, Wang, K, Wiegers, E, Williams, G, Wilson, L, Wolf, S, Yang, Z, Ylen, P, Younsi, A, Zeiler, F, Ziverte, A, Zoerle, T, Adeoye, O, Badjatia, N, Barber, J, Bergin, M, Boase, K, Bodien, Y, Chesnut, R, Corrigan, J, Crawford, K, Diaz-Arrastia, R, Dikmen, S, Duhaime, A, Ellenbogen, R, Feeser, V, Ferguson, A, Foreman, B, Gaudette, E, Giacino, J, Gonzalez, L, Gopinath, S, Grandhi, R, Gullapalli, R, Hemphill, C, Hotz, G, Huie, R, Jha, R, Keene, C, Kitagawa, R, Korley, F, Kramer, J, Kreitzer, N, Levin, H, Lindsell, C, Machamer, J, Madden, C, Martin, A, Mcallister, T, Mccrea, M, Merchant, R, Mukherjee, P, Nelson, L, Ngwenya, L, Noel, F, Nolan, A, Okonkwo, D, Palacios, E, Perl, D, Puccio, A, Rabinowitz, M, Robertson, C, Rodgers, R, Rosand, J, Rosenthal, E, Sander, A, Sandsmark, D, Sugar, G, Schneider, A, Schnyer, D, Seabury, S, Sherer, M, Stein, M, Temkin, N, Toga, A, Torres-Espin, A, Valadka, A, Vassar, M, Wang, V, Yue, J, Yuh, E, Zafonte, R, Molecular Neuroscience and Ageing Research (MOLAR), CENTER-TBI TRACK-TBI Participants and Investigators, Galimberti, S., Graziano, F., Maas, A. I. R., Isernia, G., Lecky, F., Jain, S., Sun, X., Gardner, R. C., Taylor, S. R., Markowitz, A. J., Manley, G. T., Valsecchi, M. G., Bellelli, G., Citerio, G., Ackerlund, C., Adams, H., Amrein, K., Andelic, N., Andreassen, L., Anke, A., Antoni, A., Audibert, G., Azouvi, P., Azzolini, M. L., Bartels, R., Barzo, P., Beauvais, R., Beer, R., Bellander, B. -M., Belli, A., Benali, H., Berardino, M., Beretta, L., Blaabjerg, M., Bragge, P., Brazinova, A., Brinck, V., Brooker, J., Brorsson, C., Buki, A., Bullinger, M., Cabeleira, M., Caccioppola, A., Calappi, E., Calvi, M. R., Cameron, P., Carbayo Lozano, G., Carbonara, M., Castano-Leon, A. M., Cavallo, S., Chevallard, G., Chieregato, A., Clusmann, H., Coburn, M. S., Coles, J., Cooper, J. D., Correia, M., Covic, A., Curry, N., Czeiter, E., Czosnyka, M., Dahyot-Fizelier, C., Dark, P., Dawes, H., De Keyser, V., Degos, V., Della Corte, F., den Boogert, H., Depreitere, B., Dilvesi, D., Dixit, A., Donoghue, E., Dreier, J., Duliere, G. -L., Ercole, A., Esser, P., Ezer, E., Fabricius, M., Feigin, V. L., Foks, K., Frisvold, S., Furmanov, A., Gagliardo, P., Galanaud, D., Gantner, D., Gao, G., George, P., Ghuysen, A., Giga, L., Glocker, B., Golubovic, J., Gomez, P. A., Gratz, J., Gravesteijn, B., Grossi, F., Gruen, R. L., Gupta, D., Haagsma, J. A., Haitsma, I., Helbok, R., Helseth, E., Horton, L., Huijben, J., Hutchinson, P. J., Jacobs, B., Jankowski, S., Jarrett, M., Jiang, J. -Y., Johnson, F., Jones, K., Karan, M., Kolias, A. G., Kompanje, E., Kondziella, D., Koskinen, L. -O., Kovacs, N., Kowark, A., Lagares, A., Lanyon, L., Laureys, S., Ledoux, D., Lefering, R., Legrand, V., Lejeune, A., Levi, L., Lightfoot, R., Lingsma, H., Maegele, M., Majdan, M., Manara, A., Marechal, H., Martino, C., Mattern, J., Mcfadyen, C., Mcmahon, C., Melegh, B., Menon, D., Menovsky, T., Mikolic, A., Misset, B., Muraleedharan, V., Murray, L., Negru, A., Nelson, D., Newcombe, V., Nieboer, D., Nyiradi, J., Oresic, M., Ortolano, F., Otesile, O., Palotie, A., Parizel, P. M., Payen, J. -F., Perera, N., Perlbarg, V., Persona, P., Peul, W., Piippo-Karjalainen, A., Pirinen, M., Pisica, D., Ples, H., Polinder, S., Pomposo, I., Posti, J. P., Puybasset, L., Radoi, A., Ragauskas, A., Raj, R., Rambadagalla, M., Rehorcikova, V., Retel Helmrich, I., Rhodes, J., Richardson, S., Richter, S., Ripatti, S., Rocka, S., Roe, C., Roise, O., Rosenfeld, J., Rosenlund, C., Rosenthal, G., Rossaint, R., Rossi, S., Rueckert, D., Rusnak, M., Sahuquillo, J., Sakowitz, O., Sanchez-Porras, R., Sandor, J., Schafer, N., Schmidt, S., Schoechl, H., Schoonman, G., Schou, R. F., Schwendenwein, E., Sewalt, C., Singh, R. D., Skandsen, T., Smielewski, P., Sorinola, A., Stamatakis, E., Stanworth, S., Stevens, R., Stewart, W., Steyerberg, E. W., Stocchetti, N., Sundstrom, N., Takala, R., Tamas, V., Tamosuitis, T., Taylor, M. S., Te Ao, B., Tenovuo, O., Theadom, A., Thomas, M., Tibboel, D., Timmers, M., Tolias, C., Trapani, T., Tudora, C. M., Unterberg, A., Vajkoczy, P., Valeinis, E., Vallance, S., Vamos, Z., van der Jagt, M., van der Naalt, J., Van der Steen, G., van Dijck, J. T. J. M., van Erp, I. A., van Essen, T. A., Van Hecke, W., van Heugten, C., Van Praag, D., van Veen, E., van Wijk, R., Vande Vyvere, T., Vargiolu, A., Vega, E., Velt, K., Verheyden, J., Vespa, P. M., Vik, A., Vilcinis, R., Volovici, V., von Steinbuchel, N., Voormolen, D., Vulekovic, P., Wang, K. K. W., Wiegers, E., Williams, G., Wilson, L., Wolf, S., Yang, Z., Ylen, P., Younsi, A., Zeiler, F. A., Ziverte, A., Zoerle, T., Adeoye, O., Badjatia, N., Barber, J., Bergin, M., Boase, K., Bodien, Y., Chesnut, R., Corrigan, J., Crawford, K., Diaz-Arrastia, R., Dikmen, S., Duhaime, A. -C., Ellenbogen, R., Feeser, V., Ferguson, A. R., Foreman, B., Gaudette, E., Giacino, J., Gonzalez, L., Gopinath, S., Grandhi, R., Gullapalli, R., Hemphill, C., Hotz, G., Huie, R., Jha, R., Keene, C. D., Kitagawa, R., Korley, F., Kramer, J., Kreitzer, N., Levin, H., Lindsell, C., Machamer, J., Madden, C., Martin, A., Mcallister, T., Mccrea, M., Merchant, R., Mukherjee, P., Nelson, L., Ngwenya, L. B., Noel, F., Nolan, A., Okonkwo, D., Palacios, E., Perl, D., Puccio, A., Rabinowitz, M., Robertson, C., Rodgers, R. B., Rosand, J., Rosenthal, E., Sander, A., Sandsmark, D., Sugar, G., Schneider, A., Schnyer, D., Seabury, S., Sherer, M., Stein, M., Temkin, N., Toga, A., Torres-Espin, A., Valadka, A., Vassar, M., Wang, K., Wang, V., Yue, J. K., Yuh, E., and Zafonte, R.
- Subjects
Male ,Traumatic/therapy ,Frailty ,Brain Injuries, Traumatic/therapy ,traumatic brain injury ,Reproducibility of Results ,Middle Aged ,Cohort Studies ,Brain Injuries ,Brain Injuries, Traumatic ,outcome ,Humans ,Glasgow Coma Scale ,Neurology (clinical) ,Human medicine ,Prospective Studies ,Aged - Abstract
Background: Frailty is known to be associated with poorer outcomes in individuals admitted to hospital for medical conditions requiring intensive care. However, little evidence is available for the effect of frailty on patients’ outcomes after traumatic brain injury. Many frailty indices have been validated for clinical practice and show good performance to predict clinical outcomes. However, each is specific to a particular clinical context. We aimed to develop a frailty index to predict 6-month outcomes in patients after a traumatic brain injury. Methods: A cumulative deficit approach was used to create a novel frailty index based on 30 items dealing with disease states, current medications, and laboratory values derived from data available from CENTER-TBI, a prospective, longitudinal observational study of patients with traumatic brain injury presenting within 24 h of injury and admitted to a ward or an intensive care unit at 65 centres in Europe between Dec 19, 2014, and Dec 17, 2017. From the individual cumulative CENTER-TBI frailty index (range 0–30), we obtained a standardised value (range 0–1), with high scores indicating higher levels of frailty. The effect of frailty on 6-month outcome evaluated with the extended Glasgow Outcome Scale (GOSE) was assessed through a proportional odds logistic model adjusted for known outcome predictors. An unfavourable outcome was defined as death or severe disability (GOSE score ≤4). External validation was performed on data from TRACK-TBI, a prospective observational study co-designed with CENTER-TBI, which enrolled patients with traumatic brain injury at 18 level I trauma centres in the USA from Feb 26, 2014, to July 27, 2018. CENTER-TBI is registered with ClinicalTrials.gov, NCT02210221; TRACK-TBI is registered at ClinicalTrials.gov, NCT02119182. Findings: 2993 participants (median age was 51 years [IQR 30–67], 2058 [69%] were men) were included in this analysis. The overall median CENTER-TBI frailty index score was 0·07 (IQR 0·03–0·15), with a median score of 0·17 (0·08–0·27) in older adults (aged ≥65 years). The CENTER-TBI frailty index score was significantly associated with the probability of an increasingly unfavourable outcome (cumulative odds ratio [OR] 1·03, 95% CI 1·02–1·04; p
- Published
- 2022
23. Diagnosing Level of Consciousness: The Limits of the Glasgow Coma Scale Total Score
- Author
-
Geoffrey T. Manley, Amy J. Markowitz, Yelena G. Bodien, Brian L. Edlow, Alice Barra, Claudia S. Robertson, Jason Barber, Mary J. Vassar, Sabrina R Taylor, Joseph T. Giacino, Nancy R. Temkin, and Brandon Foreman
- Subjects
Adult ,Male ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Traumatic brain injury ,diagnosis ,media_common.quotation_subject ,TRACK-TBI Investigators ,Clinical Sciences ,Disorders of consciousness ,Traumatic Brain Injury (TBI) ,consciousness ,Level of consciousness ,Internal medicine ,Behavioral and Social Science ,medicine ,Humans ,Glasgow Coma Scale ,Traumatic Head and Spine Injury ,media_common ,Coma ,Neurology & Neurosurgery ,business.industry ,traumatic brain injury ,Patient Acuity ,Neurosciences ,Minimally conscious state ,Original Articles ,Middle Aged ,medicine.disease ,Brain Disorders ,behavioral assessments ,Consciousness Disorders ,Wakefulness ,Female ,Neurology (clinical) ,prognosis ,medicine.symptom ,Consciousness ,business - Abstract
In nearly all clinical and research contexts, the initial severity of a traumatic brain injury (TBI) is measured using the Glasgow Coma Scale (GCS) total score. However, the GCS total score may not accurately reflect level of consciousness, a critical indicator of injury severity. We investigated the relationship between GCS total scores and level of consciousness in a consecutive sample of 2,455 adult subjects assessed with the GCS 69,487 times as part of the multi-center Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. We assigned each GCS subscale score combination a level of consciousness rating based upon published criteria for the following disorders of consciousness (DoC) diagnoses: coma, vegetative state/unresponsive wakefulness syndrome, minimally conscious state, and post-traumatic confusional state, and present our findings using summary statistics and four illustrative cases. Participants had the following characteristics: mean (standard deviation) age 41.9 (17.6) years, 69% male, initial GCS 3-8=13%; 9-12=5%; 13-15=82%. All GCS total scores between 4-14 were associated with more than one DoC diagnosis; the greatest variability was observed for scores of 7-11. Furthermore, a wide range of total scores were associated with identical DoC diagnoses. Importantly, a diagnosis of coma was only possible with GCS total scores of 3-6. The GCS total score does not accurately reflect level of consciousness based on published DoC diagnostic criteria. To improve the classification of patients with TBI and to inform the design of future clinical trials, clinicians and investigators should consider individual subscale behaviors and more comprehensive assessments when evaluating TBI severity.
- Published
- 2021
24. Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI
- Author
-
Ramon Diaz-Arrastia, Thomas W. McAllister, Joel H. Kramer, Brandon Foreman, Alex B. Valadka, Dana Pisică, Sureyya Dikmen, Randall Merchant, Adam R. Ferguson, C. Dirk Keene, Raquel C. Gardner, Xiaoying Sun, Geoffrey T. Manley, Arthur W. Toga, Yelena G. Bodien, John D. Corrigan, Andrew I R Maas, Joseph T. Giacino, Christopher J. Madden, Pratik Mukherjee, Florence Noel, Claudia S. Robertson, Amber Nolan, Ross Zafonte, Murray B. Stein, Hester F. Lingsma, Nancy R. Temkin, Natalie Kreitzer, Opeolu Adeoye, J. Claude Hemphill, Rao P. Gullapalli, Kim Boase, Jan Verheyden, Luis Gonzalez, Laura B. Ngwenya, Christopher J. Lindsell, Miri Rabinowitz, Michael McCrea, Gillian Hotz, Jonathan Rosand, Shankar P. Gopinath, Harvey S. Levin, David M. Schnyer, Neeraj Badjatia, Ann-Christine Duhaime, Esther L. Yuh, Angelle M. Sander, Sabrina R Taylor, Étienne Gaudette, Eva M. Palacios, Gabriella Satris, Alastair J. Martin, David O. Okonkwo, Seth A. Seabury, Joan Machamer, Karen Crawford, Amy J. Markowitz, Richard G. Ellenbogen, V. Ramana Feeser, Lindsay D. Nelson, Mark Harris, Daniel P. Perl, Mary J. Vassar, Sonia Jain, Ragauskas, Arminas, Rocka, Saulius, Tamosuitis, Tomas, Vilcinis, Rimantas, American Medical Association, Yuh, E. L., Jain, S., Sun, X., Pisica, D., Harris, M. H., Taylor, S. R., Markowitz, A. J., Mukherjee, P., Verheyden, J., Giacino, J. T., Levin, H. S., Mccrea, M., Stein, M. B., Temkin, N. R., Diaz-Arrastia, R., Robertson, C. S., Lingsma, H. F., Okonkwo, D. O., Maas, A. I. R., Manley, G. T., Adeoye, O., Badjatia, N., Boase, K., Bodien, Y., Corrigan, J. D., Crawford, K., Dikmen, S., Duhaime, A. -C., Ellenbogen, R., Feeser, V. R., Ferguson, A. R., Foreman, B., Gardner, R., Gaudette, E., Gonzalez, L., Gopinath, S., Gullapalli, R., Hemphill, J. C., Hotz, G., Keene, C. D., Kramer, J., Kreitzer, N., Lindsell, C., Machamer, J., Madden, C., Martin, A., Mcallister, T., Merchant, R., Nelson, L., Ngwenya, L. B., Noel, F., Nolan, A., Palacios, E., Perl, D., Rabinowitz, M., Rosand, J., Sander, A., Satris, G., Schnyer, D., Seabury, S., Toga, A., Valadka, A., Vassar, M., Zafonte R., (TRACK-TBI Investigators for the CENTER-TBI Investigators), Beretta, L., Section Neuropsychology, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: FPN NPPP I, Yuh, E, Jain, S, Sun, X, Pisica, D, Harris, M, Taylor, S, Markowitz, A, Mukherjee, P, Verheyden, J, Giacino, J, Levin, H, Mccrea, M, Stein, M, Temkin, N, Diaz-Arrastia, R, Robertson, C, Lingsma, H, Okonkwo, D, Maas, A, Manley, G, Adeoye, O, Badjatia, N, Boase, K, Bodien, Y, Corrigan, J, Crawford, K, Dikmen, S, Duhaime, A, Ellenbogen, R, Feeser, V, Ferguson, A, Foreman, B, Gardner, R, Gaudette, E, Gonzalez, L, Gopinath, S, Gullapalli, R, Hemphill, J, Hotz, G, Keene, C, Kramer, J, Kreitzer, N, Lindsell, C, Machamer, J, Madden, C, Martin, A, Mcallister, T, Merchant, R, Nelson, L, Ngwenya, L, Noel, F, Nolan, A, Palacios, E, Perl, D, Rabinowitz, M, Rosand, J, Sander, A, Satris, G, Schnyer, D, Seabury, S, Toga, A, Valadka, A, Vassar, M, Zafonte, R, Citerio, G, Public Health, Neurosurgery, Molecular Neuroscience and Ageing Research (MOLAR), and TRACK-TBI Investigators for the CENTER-TBI Investigators
- Subjects
Male ,validity ,Neurology ,Neurologi ,common data elements ,ethnic disparities ,Cohort Studies ,0302 clinical medicine ,Tomography ,Original Investigation ,screening and diagnosis ,nrecovery ,Injuries and accidents ,RECOVERY ,Middle Aged ,Prognosis ,3. Good health ,X-Ray Computed ,Detection ,classification ,030220 oncology & carcinogenesis ,TRACK-TBI Investigators for the CENTER-TBI Investigators ,Biomedical Imaging ,Female ,Cognitive Sciences ,Radiology ,Intracranial Hemorrhages ,Comments ,Human ,4.2 Evaluation of markers and technologies ,Adult ,concussio ,medicine.medical_specialty ,Subarachnoid hemorrhage ,Physical Injury - Accidents and Adverse Effects ,Prognosi ,Traumatic brain injury ,Clinical Sciences ,Traumatic Brain Injury (TBI) ,CONCUSSION ,Head trauma ,scale ,models ,03 medical and health sciences ,Epidural hematoma ,Hematoma ,Clinical Research ,medicine ,Online First ,Humans ,Brain Concussion ,Traumatic Head and Spine Injury ,Intracranial Hemorrhage ,Aged ,Neurology & Neurosurgery ,business.industry ,Research ,Glasgow Coma Scale ,Neurosciences ,prediction ,Petechial rash ,Recovery of Function ,medicine.disease ,Brain Disorders ,Good Health and Well Being ,identification ,Human medicine ,Neurology (clinical) ,Cohort Studie ,Tomography, X-Ray Computed ,business ,030217 neurology & neurosurgery - Abstract
Key Points Question Are different patterns of intracranial injury on head computed tomography associated with prognosis after mild traumatic brain injury (mTBI)? Findings In this cohort study, subarachnoid hemorrhage, subdural hematoma, and contusion often co-occurred and were associated with both incomplete recovery and more severe impairment out to 12 months after injury, while intraventricular and/or petechial hemorrhage co-occurred and were associated with more severe impairment up to 12 months after injury; epidural hematoma was associated with incomplete recovery at some points but not with more severe impairment. Some intracranial hemorrhage patterns were more strongly associated with outcomes than previously validated demographic and clinical variables. Meaning In this study, different pathological features on head computed tomography carried different implications for mild traumatic brain injury prognosis to 1 year., The longitudinal, observational study aims to identify pathological computed tomography features associated with adverse outcomes after mild traumatic brain injury., Importance A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood. Objective To identify pathological CT features associated with adverse outcomes after mTBI. Design, Setting, and Participants The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale–Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021. Exposures Acute nonpenetrating head trauma. Main Outcomes and Measures Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores
- Published
- 2021
25. A Manual for the Glasgow Outcome Scale-Extended Interview
- Author
-
Lindsay Wilson, Lindsay D. Nelson, Nancy R. Temkin, Kim Boase, Andrew I R Maas, Graham M. Teasdale, Amy J. Markowitz, David K. Menon, Geoffrey T. Manley, and Joseph T. Giacino
- Subjects
030506 rehabilitation ,Clinical Sciences ,Glasgow Outcome Scale ,Outcome (game theory) ,Interviews as Topic ,clinical outcome assessment ,03 medical and health sciences ,Disability Evaluation ,Manuals as Topic ,0302 clinical medicine ,Consistency (negotiation) ,Nursing ,Surveys and Questionnaires ,Brain Injuries, Traumatic ,Outcome Assessment, Health Care ,Humans ,Accreditation ,Neurology & Neurosurgery ,traumatic brain injury ,Neurosciences ,Original Articles ,Recovery of Function ,GOSE ,Glasgow Outcome Scale-Extended ,Neurology (clinical) ,Human medicine ,0305 other medical science ,Psychology ,030217 neurology & neurosurgery - Abstract
The Glasgow Outcome Scale-Extended (GOSE) has become one of the most widely used outcome instruments to assess global disability and recovery after traumatic brain injury. Achieving consistency in the application of the assessment remains a challenge, particularly in multi-center studies involving many assessors. We present a manual for the GOSE interview that is designed to support both single- and multi-center studies and promote inter-rater agreement. Many patients fall clearly into a particular category; however, patients may have outcomes that are on the borderline between adjacent categories, and cases can present other challenges for assessment. The Manual includes the general principles of assessment, advice on administering each section of the GOSE interview, and guidance on "borderline" and "difficult" cases. Finally, we discuss the properties of the GOSE, including strengths and limitations, and outline recommendations for assessor training, accreditation, and monitoring.
- Published
- 2021
26. Comparing the Quality of Life after Brain Injury-Overall Scale and Satisfaction with Life Scale as Outcome Measures for Traumatic Brain Injury Research
- Author
-
Natalie, Kreitzer, Sonia, Jain, Jacob S, Young, Xiaoying, Sun, Murray B, Stein, Michael A, McCrea, Harvey S, Levin, Joseph T, Giacino, Amy J, Markowitz, Geoffrey T, Manley, Lindsay D, Nelson, and Ross, Zafonte
- Subjects
Adult ,Male ,medicine.medical_specialty ,Psychometrics ,Traumatic brain injury ,Personal Satisfaction ,Quality of life ,Brain Injuries, Traumatic ,Outcome Assessment, Health Care ,medicine ,Humans ,Prospective cohort study ,Human studies ,business.industry ,Glasgow Coma Scale ,Outcome measures ,Patient Acuity ,Original Articles ,medicine.disease ,humanities ,nervous system diseases ,Orthopedic trauma ,nervous system ,Scale (social sciences) ,Physical therapy ,Quality of Life ,Female ,Neurology (clinical) ,business - Abstract
It is important to measure quality of life (QoL) after traumatic brain injury (TBI), yet limited studies have compared QoL inventories. In 2579 TBI patients, orthopedic trauma controls, and healthy friend control participants, we compared the Quality of Life After Brain Injury-Overall Scale (QOLIBRI-OS), developed for TBI patients, to the Satisfaction with Life Scale (SWLS), an index of generic life satisfaction. We tested the hypothesis that group differences (TBI and orthopedic trauma vs. healthy friend controls) would be larger for the QOLIBRI-OS than the SWLS and that the QOLIBRI-OS would manifest more substantial changes over time in the injured groups, demonstrating more relevance of the QOLIBRI-OS to traumatic injury recovery. (1) We compared the group differences (TBI vs. orthopedic trauma control vs. friend control) in QoL as indexed by the SWLS versus the QOLIBRI-OS and (2) characterized changes across time in these two inventories across 1 year in these three groups. Our secondary objective was to characterize the relationship between TBI severity and QoL. As compared with healthy friend controls, the QOLIBRI reflected greater reductions in QoL than the SWLS for both the TBI group (all time points) and the orthopedic trauma control group (2 weeks and 3 months). The QOLIBRI-OS better captured expected improvements in QoL during the injury recovery course in injured groups than the SWLS, which demonstrated smaller changes over time. TBI severity was not consistently or robustly associated with self-reported QoL. The findings imply that, as compared with the SWLS, the QOLIBRI-OS appears to identify QoL issues more specifically relevant to traumatically injured patients and may be a more appropriate primary QoL outcome measure for research focused on the sequelae of traumatic injuries.
- Published
- 2021
27. Functional Outcomes Over the First Year After Moderate to Severe Traumatic Brain Injury in the Prospective, Longitudinal TRACK-TBI Study
- Author
-
Opeolu Adeoye, Neeraj Badjatia, Amber Nolan, Dana P. Goldman, Christopher J. Lindsell, Thomas W. McAllister, Seth A. Seabury, Alex B. Valadka, Joel H. Kramer, Joan Machamer, Raquel C. Gardner, Gabriella Satris, Brandon Foreman, Geoffrey T. Manley, Arthur W. Toga, David O. Okonkwo, Ann-Christine Duhaime, Randall Merchant, C. Dirk Keene, Gillian Hotz, Alastair J. Martin, Jonathan Rosand, David M. Schnyer, Michael McCrea, Murray B. Stein, John K. Yue, Sabrina R Taylor, Claudia S. Robertson, Étienne Gaudette, Kevin K.W. Wang, Laura B. Ngwenya, Natalie Kreitzer, M. Ross Bullock, Rao P. Gullapalli, Shankar P. Gopinath, Lindsay D. Nelson, Yelena G. Bodien, J. Claude Hemphill, Karen Crawford, John D. Corrigan, Amy J. Markowitz, Joseph T. Giacino, Mark Sherer, Richard G. Ellenbogen, Christopher J. Madden, Daniel P. Perl, Ross Zafonte, Miri Rabinowitz, V. Ramana Feeser, Mary J. Vassar, Track-Tbi Investigators, Esther L. Yuh, Sureyya Dikmen, Florence Noel, Nancy R. Temkin, Kim Boase, Jason Barber, Angelle M. Sander, Harvey S. Levin, Frederick K. Korley, Luis Gonzalez, Randall M. Chesnut, Eva M. Palacios, Pratik Mukherjee, Adam R. Ferguson, Ava M. Puccio, Ramon Diaz-Arrastia, and Sonia Jain
- Subjects
Moderate to severe ,Adult ,Male ,Pediatrics ,medicine.medical_specialty ,Traumatic brain injury ,Glasgow Outcome Scale ,Neuropsychological Tests ,Cohort Studies ,Disability Evaluation ,Interquartile range ,Activities of Daily Living ,Brain Injuries, Traumatic ,Medicine ,Humans ,In patient ,Glasgow Coma Scale ,Longitudinal Studies ,Prospective Studies ,Cause of death ,Original Investigation ,business.industry ,Persistent Vegetative State ,Disability Rating Scale ,Recovery of Function ,Middle Aged ,medicine.disease ,Prognosis ,Treatment Outcome ,Withholding Treatment ,Female ,Neurology (clinical) ,business ,Cohort study - Abstract
Importance Moderate to severe traumatic brain injury (msTBI) is a major cause of death and disability in the US and worldwide. Few studies have enabled prospective, longitudinal outcome data collection from the acute to chronic phases of recovery after msTBI. Objective To prospectively assess outcomes in major areas of life function at 2 weeks and 3, 6, and 12 months after msTBI. Design, Setting, and Participants This cohort study, as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study, was conducted at 18 level 1 trauma centers in the US from February 2014 to August 2018 and prospectively assessed longitudinal outcomes, with follow-up to 12 months postinjury. Participants were patients with msTBI (Glasgow Coma Scale scores 3-12) extracted from a larger group of patients with mild, moderate, or severe TBI who were enrolled in TRACK-TBI. Data analysis took place from October 2019 to April 2021. Exposures Moderate or severe TBI. Main Outcomes and Measures The Glasgow Outcome Scale–Extended (GOSE) and Disability Rating Scale (DRS) were used to assess global functional status 2 weeks and 3, 6, and 12 months postinjury. Scores on the GOSE were dichotomized to determine favorable (scores 4-8) vs unfavorable (scores 1-3) outcomes. Neurocognitive testing and patient reported outcomes at 12 months postinjury were analyzed. Results A total of 484 eligible patients were included from the 2679 individuals in the TRACK-TBI study. Participants with severe TBI (n = 362; 283 men [78.2%]; median [interquartile range] age, 35.5 [25-53] years) and moderate TBI (n = 122; 98 men [80.3%]; median [interquartile range] age, 38 [25-53] years) were comparable on demographic and premorbid variables. At 2 weeks postinjury, 36 of 290 participants with severe TBI (12.4%) and 38 of 93 participants with moderate TBI (41%) had favorable outcomes (GOSE scores 4-8); 301 of 322 in the severe TBI group (93.5%) and 81 of 103 in the moderate TBI group (78.6%) had moderate disability or worse on the DRS (total score ≥4). By 12 months postinjury, 142 of 271 with severe TBI (52.4%) and 54 of 72 with moderate TBI (75%) achieved favorable outcomes. Nearly 1 in 5 participants with severe TBI (52 of 270 [19.3%]) and 1 in 3 with moderate TBI (23 of 71 [32%]) reported no disability (DRS score 0) at 12 months. Among participants in a vegetative state at 2 weeks, 62 of 79 (78%) regained consciousness and 14 of 56 with available data (25%) regained orientation by 12 months. Conclusions and Relevance In this study, patients with msTBI frequently demonstrated major functional gains, including recovery of independence, between 2 weeks and 12 months postinjury. Severe impairment in the short term did not portend poor outcomes in a substantial minority of patients with msTBI. When discussing prognosis during the first 2 weeks after injury, clinicians should be particularly cautious about making early, definitive prognostic statements suggesting poor outcomes and withdrawal of life-sustaining treatment in patients with msTBI.
- Published
- 2021
28. Tractography-Pathology Correlations in Traumatic Brain Injury: A TRACK-TBI Study
- Author
-
Amber L. Nolan, Ramon Diaz-Arrastia, Amy J. Markowitz, Allison Stevens, Bram R. Diamond, Geoffrey T. Manley, Cathrine Petersen, Brian L. Edlow, Bruce Fischl, Pratik Mukherjee, Sonia Jain, Andre van der Kouwe, Ruopeng Wang, Daniel P. Perl, C. Dirk Keene, Diego Iacono, and Christine L. Mac Donald
- Subjects
Male ,Traumatic ,030506 rehabilitation ,Pathology ,Poison control ,tractography ,Microgliosis ,0302 clinical medicine ,Brain Injuries, Traumatic ,Neural Pathways ,2.1 Biological and endogenous factors ,Diffusion Tractography ,Aetiology ,contusion ,medicine.diagnostic_test ,traumatic brain injury ,food and beverages ,Human brain ,Middle Aged ,Network connectivity ,Astrogliosis ,medicine.anatomical_structure ,Diffusion Tensor Imaging ,Neurological ,Biomedical Imaging ,traumatic axonal injury ,0305 other medical science ,Tractography ,MRI ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Traumatic brain injury ,TRACK-TBI Investigators ,education ,Clinical Sciences ,Neuropathology ,Traumatic Brain Injury (TBI) ,White matter ,03 medical and health sciences ,medicine ,Connectome ,Acquired Cognitive Impairment ,Humans ,In patient ,Traumatic Head and Spine Injury ,neuropathology ,Neurology & Neurosurgery ,business.industry ,Neurosciences ,Magnetic resonance imaging ,Original Articles ,medicine.disease ,Brain Disorders ,Brain Injuries ,sense organs ,Neurology (clinical) ,business ,Neuroscience ,030217 neurology & neurosurgery ,Diffusion MRI - Abstract
Diffusion tractography MRI can infer changes in network connectivity in patients with traumatic brain injury (TBI), but pathological substrates of disconnected tracts have not been well-defined due to a lack of high-resolution imaging with histopathological validation. We developed an ex vivo MRI protocol to analyze tract terminations at 750 μm resolution, followed by histopathologic evaluation of white matter pathology, and applied these methods to a 60-year-old man who died 26 days after TBI. Analysis of 74 cerebral hemispheric white matter regions revealed a heterogeneous distribution of tract disruptions. Associated histopathology identified variable white matter injury with patchy deposition of amyloid precursor protein and loss of neurofilament-positive axonal processes, myelin dissolution, astrogliosis, microgliosis, and perivascular hemosiderin-laden macrophages. Multiple linear regression revealed that tract disruption strongly correlated with neurofilament loss. Ex vivo diffusion MRI can detect tract disruptions in the human brain that reflect axonal injury.
- Published
- 2021
29. Pediatric firearm-related traumatic brain injury in United States trauma centers
- Author
-
Hansen Deng, Phiroz E. Tarapore, John K. Yue, Ethan A. Winkler, Geoffrey T. Manley, and Sanjay S. Dhall
- Subjects
medicine.medical_specialty ,education.field_of_study ,business.industry ,Trauma center ,Population ,Glasgow Coma Scale ,Poison control ,Emergency department ,General Medicine ,Odds ratio ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Internal medicine ,Epidemiology ,Injury prevention ,Medicine ,Injury Severity Score ,Surgery ,Neurology (clinical) ,business ,education ,030217 neurology & neurosurgery ,Cause of death - Abstract
OBJECTIVEPediatric firearm injury is a leading cause of death and disability in the youth of the United States. The epidemiology of and outcomes following gunshot wounds to the head (GSWHs) are in need of systematic characterization. Here, the authors analyzed pediatric GSWHs from a population-based sample to identify predictors of prolonged hospitalization, morbidity, and death.METHODSAll patients younger than 18 years of age and diagnosed with a GSWH in the National Sample Program (NSP) of the National Trauma Data Bank (NTDB) in 2003–2012 were eligible for inclusion in this study. Variables of interest included injury intent, firearm type, site of incident, age, sex, race, health insurance, geographic region, trauma center level, isolated traumatic brain injury (TBI), hypotension in the emergency department, Glasgow Coma Scale (GCS) score, and Injury Severity Score (ISS). Risk predictors for a prolonged hospital stay, morbidity, and mortality were identified. Odds ratios, mean increases or decreases (B), and 95% confidence intervals were reported. Statistical significance was assessed at α < 0.001 accounting for multiple comparisons.RESULTSIn a weighted sample of 2847 pediatric patients with GSWHs, the mean age was 14.8 ± 3.3 years, 79.2% were male, and 59.0% had severe TBI (GCS score 3–8). The mechanism of assault (63.0%), the handgun as firearm (45.6%), and an injury incurred in a residential area (40.6%) were most common. The mean hospital length of stay was 11.6 ± 14.4 days for the survivors, for whom suicide injuries involved longer hospitalizations (B = 5.9-day increase, 95% CI 3.3–8.6, p < 0.001) relative to those for accidental injuries. Mortality was 45.1% overall but was greater with injury due to suicidal intent (mortality 71.5%, p < 0.001) or caused by a shotgun (mortality 56.5%, p < 0.001). Lower GCS scores, higher ISSs, and emergency room hypotension predicted poorer outcomes. Patients with private insurance had lower mortality odds than those with Medicare/Medicaid (OR 2.4, 95% CI 1.7–3.4, p < 0.001) or government insurance (OR 3.6, 95% CI 2.2–5.8, p < 0.001). Management at level II centers, compared to level I, was associated with lower odds of returning home (OR 0.3, 95% CI 0.2–0.5, p < 0.001).CONCLUSIONSFrom 2003 to 2012, with regard to pediatric TBI hospitalizations due to GSWHs, their proportion remained stable, those caused by accidental injuries decreased, and those attributable to suicide increased. Overall mortality was 45%. Hypotension, cranial and overall injury severity, and suicidal intent were associated with poor prognoses. Patients treated at level II trauma centers had lower odds of being discharged home. Given the spectrum of risk factors that predispose children to GSWHs, emphasis on screening, parental education, and standardization of critical care management is needed to improve outcomes.
- Published
- 2019
30. The Temporal Relationship of Mental Health Problems and Functional Limitations following mTBI: A TRACK-TBI and TED Study
- Author
-
Murray B. Stein, Nancy R. Temkin, Evan Zahniser, Joan Machamer, Geoffrey T. Manley, Sureyya Dikmen, Esther L. Yuh, Lindsay D. Nelson, and Track-Tbi Investigators
- Subjects
Male ,030506 rehabilitation ,Time Factors ,6.6 Psychological and behavioural ,Anxiety ,traumatic ,0302 clinical medicine ,80 and over ,Longitudinal Studies ,Depression (differential diagnoses) ,Aged, 80 and over ,Depression ,Injuries and accidents ,Middle Aged ,Mental Health ,Biomedical Imaging ,Female ,medicine.symptom ,0305 other medical science ,Clinical psychology ,Adult ,Physical Injury - Accidents and Adverse Effects ,Adolescent ,Traumatic brain injury ,TRACK-TBI Investigators ,Clinical Sciences ,Traumatic Brain Injury (TBI) ,patient outcome assessment ,Young Adult ,03 medical and health sciences ,brain injuries ,Clinical Research ,Behavioral and Social Science ,medicine ,Humans ,Traumatic Head and Spine Injury ,Brain Concussion ,Aged ,Neurology & Neurosurgery ,business.industry ,Neurosciences ,Evaluation of treatments and therapeutic interventions ,Original Articles ,Recovery of Function ,medicine.disease ,Mental health ,Brain Disorders ,Good Health and Well Being ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
Mental health problems, such as depression and anxiety, are often associated with functional limitations after traumatic brain injury (TBI), prompting researchers to explore which of these TBI-related sequelae tends to precede the other. Past studies among patients with injuries ranging in severity have predominantly reported that functional impairments predict subsequent psychological concerns, rather than the other way around; however, it remains unclear whether this directionality holds for individuals with mild TBI (mTBI). The present study utilized a cross-lagged panel design within a structural equation modeling analytical framework to explore the longitudinal relationships of symptoms of depression and anxiety to functional status among 717 adult mTBI patients, with assessments occurring at 2 weeks and 3 months post-injury. Symptoms of both depression and anxiety significantly predicted subsequent functional limitations (λs = -0.21 and -0.25), whereas the reverse effects were nonsignificant (λs = -0.05 and -0.03); thus, psychological concerns appeared to function as a precursor to functional impairment. This pattern was particularly pronounced among patients with normal head computed tomography (CT) results; however, results were less clear cut among those subjects whose injuries were accompanied by intracranial abnormalities detected on CT imaging, suggesting the possibility of a more reciprocal relationship in the case of CT-positive mTBI. These results may serve to partially explain the incidence of persistent functional limitations observed among subsets of mTBI patients in past studies. Findings likewise highlight the importance of assessment and treatment for mental health problems after mTBI as an important factor to promote psychological well-being and functional recovery.
- Published
- 2019
31. Adult Firearm-Related Traumatic Brain Injury in United States Trauma Centers
- Author
-
Sanjay S. Dhall, Hansen Deng, Ethan A. Winkler, John K. Yue, Geoffrey T. Manley, and Phiroz E. Tarapore
- Subjects
Adult ,Male ,Firearms ,030506 rehabilitation ,medicine.medical_specialty ,Population ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Trauma Centers ,law ,Brain Injuries, Traumatic ,Epidemiology ,Humans ,Medicine ,Rifle ,education ,education.field_of_study ,business.industry ,Mortality rate ,Glasgow Coma Scale ,Odds ratio ,Middle Aged ,Intensive care unit ,United States ,Emergency medicine ,Injury Severity Score ,Female ,Wounds, Gunshot ,Neurology (clinical) ,0305 other medical science ,business ,030217 neurology & neurosurgery - Abstract
Civilian firearm injury is an important public health concern in the United States. Gunshot wounds to the head (GSWH) remain in need of update and systematic characterization. We identify predictors of prolonged hospital length of stay (HLOS), intensive care unit length of stay (ICU LOS), medical complications, mortality, and discharge disposition from a population-based sample using the National Sample Program (NSP) of the National Trauma Data Bank (NTDB), years 2003-2012. Statistical significance was assessed at α < 0.001 to correct for multiple comparisons. In total, 8148 adult GSWH patients were included extrapolating to 32,439 national incidents. Age was 36.6 ± 16.4 years and 64.4% were severe traumatic brain injury (TBI; Glasgow Coma Scale [GCS] score 3-8). Assault (49.2%), handgun (50.3%), and residential injury (43.2%) were of highest incidence. HLOS and ICU LOS were 7.7 ± 14.2 and 5.7 ± 13.4 days, respectively. Overall mortality was 54.6%; suicide/self-injury was associated with the highest mortality rate (71.6%). GCS, Injury Severity Score, and hypotension were significant predictors for outcomes overall. Medicare/Medicaid patients had longer HLOS compared to private/commercial insured (mean increase, 4.4 days; 95% confidence interval [2.6-6.3]). Compared to the Midwest, the South had longer HLOS (mean increase, 3.7 days; [2.0-5.4]) and higher odds of complications (odds ratio [OR], 1.7 [1.4-2.0]); the West had lower odds of complications (OR, 0.6; [0.5-0.7]). Versus handgun, shotgun (OR, 0.3; [0.2-0.4]) and hunting rifle (OR, 0.5; [0.4-0.8]) resulted in lower mortality. Patients with government/other insurance had higher odds of discharging home compared to private/commercially insured (OR, 1.7; [1.3-2.3]). In comparison to level I trauma centers, level II trauma centers had lower odds of discharge to home (OR, 0.7; [0.5-0.8]). Our results support hypotension, injury severity, injury intent, firearm type, and U.S. geographical location as important prognostic variables in firearm-related TBI. Improved understanding of civilian GSWH is critical to promoting increased awareness of firearm injuries as a public health concern and reducing its debilitating injury burden to patients, families, and healthcare systems.
- Published
- 2019
32. Age and sex-mediated differences in six-month outcomes after mild traumatic brain injury in young adults: a TRACK-TBI study
- Author
-
Tene A. Cage, Raquel C. Gardner, Track-Tbi Investigators, Geoffrey T. Manley, Hester F. Lingsma, Sabrina R Taylor, Alex B. Valadka, Esther L. Yuh, Pratik Mukherjee, Mary J. Vassar, Nancy R. Temkin, Catherine G Suen, Ryan R L Phelps, Caitlin K. Robinson, David O. Okonkwo, Molly Rose Morrissey, Hansen Deng, Murray B. Stein, John K. Yue, Harvey S. Levin, Ross C. Puffer, Sourabh Sharma, Sureyya Dikmen, Jason Barber, Ethan A. Winkler, Sarah J Runyon, Jonathan Rick, Maryse C. Cnossen, Public Health, Neurosurgery, and TRACK-TBI Investigators
- Subjects
0301 basic medicine ,Adult ,Male ,Pediatrics ,medicine.medical_specialty ,Adolescent ,Traumatic brain injury ,medicine.medical_treatment ,Glasgow Outcome Scale ,Pilot Projects ,Age and sex ,Article ,Stress Disorders, Post-Traumatic ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,medicine ,Humans ,Prospective Studies ,Young adult ,Brain Concussion ,Post-traumatic stress disorder (PTSD) ,Sex Characteristics ,Rehabilitation ,business.industry ,Age Factors ,Wechsler Scales ,Wechsler Adult Intelligence Scale ,Female sex ,General Medicine ,medicine.disease ,Interaction factor ,030104 developmental biology ,Neurology ,Female ,Human medicine ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
Introduction: Risk factors for young adults with mTBI are not well understood. Improved understanding of age and sex as risk factors for impaired six-month outcomes in young adults is needed.Methods: Young adult mTBI subjects aged 18-39 years (18-29y; 30-39y) with six-month outcomes were extracted from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) study. Multivariable regressions were performed for outcomes with age, sex, and the interaction factor age-group*sex as variables of interest, controlling for demographic and injury variables. Mean-differences (B) and 95% CIs are reported.Results: One hundred mTBI subjects (18-29y, 70%; 30-39y, 30%; male, 71%; female, 29%) met inclusion criteria. On multivariable analysis, age-group*sex was associated with six-month post-traumatic stress disorder (PTSD; PTSD Checklist-Civilian version); compared with female 30-39y, female 18-29y (B= -19.55 [-26.54, -4.45]), male 18-29y (B= -19.70 [-30.07, -9.33]), and male 30-39y (B= -15.49 [-26.54, -4.45]) were associated with decreased PTSD symptomatology. Female sex was associated with decreased six-month functional outcome (Glasgow Outcome Scale-Extended (GOSE): B= -0.6 [1.0, -0.1]). Comparatively, 30-39y scored higher on six-month nonverbal processing speed (Wechsler Adult Intelligence Scale-Processing Speed Index (WAIS-PSI); B= 11.88, 95% CI [1.66, 22.09]).Conclusions: Following mTBI, young adults aged 18-29y and 30-39y may have different risks for impairment. Sex may interact with age for PTSD symptomatology, with females 30-39y at highest risk. These results may be attributable to cortical maturation, biological response, social modifiers, and/or differential self-report. Confirmation in larger samples is needed; however, prevention and rehabilitation/counseling strategies after mTBI should likely be tailored for age and sex.
- Published
- 2019
33. Performance Evaluation of a Multiplex Assay for Simultaneous Detection of Four Clinically Relevant Traumatic Brain Injury Biomarkers
- Author
-
Ramon Diaz-Arrastia, Geoffrey T. Manley, Kevin K.W. Wang, John K. Yue, Alex B. Valadka, Ava M. Puccio, Kevin Hrusovsky, Frederick K. Korley, Adam R. Ferguson, Pratik Mukherjee, David H. Wilson, Esther L. Yuh, and David O. Okonkwo
- Subjects
multiplex immunoassay ,030506 rehabilitation ,Pathology ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Traumatic brain injury ,Short Communication ,Clinical Sciences ,Total tau ,Traumatic Brain Injury (TBI) ,total tau ,03 medical and health sciences ,0302 clinical medicine ,Acquired Cognitive Impairment ,medicine ,Multiplex ,Traumatic Head and Spine Injury ,screening and diagnosis ,Neurology & Neurosurgery ,Glial fibrillary acidic protein ,biology ,business.industry ,traumatic brain injury ,Neurosciences ,biomarkers ,medicine.disease ,Brain Disorders ,4.1 Discovery and preclinical testing of markers and technologies ,ubiquitin c-terminal hydrolase L1 ,Detection ,neurofilament light chain ,glial fibrillary acidic protein ,Neurological ,biology.protein ,Dementia ,Neurology (clinical) ,0305 other medical science ,business ,030217 neurology & neurosurgery ,4.2 Evaluation of markers and technologies - Abstract
Traumatic brain injury (TBI) results in heterogeneous pathology affecting multiple cells and tissue types in the brain. It is likely that assessment of such complexity will require simultaneous measurement of multiple molecular biomarkers in a single sample of biological fluid. We measured glial fibrillary acidic protein (GFAP), ubiquitin c-terminal hydrolase L1 (UCH-L1), neurofilament light chain (NF-L) and total tau in plasma samples obtained from 107 subjects enrolled in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot) Study using the Quanterix Simoa 4-Plex assay. We also measured NF-L using the Simoa singleplex assay. We computed the correlation between the different biomarkers and calculated the discriminative value of each biomarker for distinguishing between subjects with abnormal versus normal head computed tomography (CT). We found a strong correlation between NF-L values derived from the multiplex and singleplex assays (correlation coefficient = 0.997). Among biomarker values derived from the multiplex assay, the strongest correlation was between the axonal and neuronal markers, NF-L and UCH-L1 (coefficient = 0.71). The weakest correlation was between the glial marker GFAP and the axonal marker tau (coefficient = 0.06). The areas under the curves for distinguishing between subjects with/without abnormal head CT for multiplex GFAP, UCH-L1, NF-L, and total tau were: 0.88 (95% confidence interval 0.81-0.95), 0.86 (0.79-0.93), 0.84 (0.77-0.92), and 0.77 0.67-0.86), respectively. We conclude that the multiplex assay provides simultaneous quantification of GFAP, UCH-L1, NF-L, and tau, and may be clinically useful in the diagnosis of TBI as well as identifying different types of cellular injury.
- Published
- 2019
34. High-Sensitivity C-Reactive Protein is a Prognostic Biomarker of Six-Month Disability after Traumatic Brain Injury: Results from the TRACK-TBI Study
- Author
-
Mary J. Vassar, Sonia Jain, David O. Okonkwo, Joseph T. Giacino, Ross C. Puffer, Ava M. Puccio, Pratik Mukherjee, Xiaoying Sun, Ramon Diaz-Arrastia, Amy J. Markowitz, Sabrina R Taylor, Kevin K.W. Wang, Esther L. Yuh, Linda B. Xu, Claudia S. Robertson, Geoffrey T. Manley, Miri Rabinowitz, Sureyya Dikmen, Murray B. Stein, John K. Yue, Michael McCrea, Ethan A. Winkler, Hansen Deng, Nancy R. Temkin, Harvey S. Levin, and Frederick K. Korley
- Subjects
Oncology ,Male ,Traumatic ,030506 rehabilitation ,Biomedical Research ,Time Factors ,Systemic inflammation ,0302 clinical medicine ,Brain Injuries, Traumatic ,Prospective Studies ,biology ,traumatic brain injury ,Injuries and accidents ,Middle Aged ,Prognosis ,C-Reactive Protein ,head trauma ,Biomarker (medicine) ,Female ,medicine.symptom ,0305 other medical science ,Adult ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Traumatic brain injury ,TRACK-TBI Investigators ,Clinical Sciences ,Traumatic Brain Injury (TBI) ,03 medical and health sciences ,Young Adult ,Clinical Research ,Internal medicine ,medicine ,Humans ,Prognostic biomarker ,Disabled Persons ,Traumatic Head and Spine Injury ,Neurology & Neurosurgery ,business.industry ,C-reactive protein ,Neurosciences ,biomarkers ,Original Articles ,medicine.disease ,nervous system diseases ,Brain Disorders ,nervous system ,Brain Injuries ,biology.protein ,Neurology (clinical) ,business ,Biomarkers ,030217 neurology & neurosurgery - Abstract
Systemic inflammation impacts outcome after traumatic brain injury (TBI), but most TBI biomarker studies have focused on brain-specific proteins. C-reactive protein (CRP) is a widely used biomarker of inflammation with potential as a prognostic biomarker after TBI. The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study prospectively enrolled TBI patients within 24 h of injury, as well as orthopedic injury and uninjured controls; biospecimens were collected at enrollment. A subset of hospitalized participants had blood collected on day 3, day 5, and 2 weeks. High-sensitivity CRP (hsCRP) and glial fibrillary acidic protein (GFAP) were measured. Receiver operating characteristic analysis was used to evaluate the prognostic ability of hsCRP for 6-month outcome, using the Glasgow Outcome Scale-Extended (GOSE). We included 1206 TBI subjects, 122 orthopedic trauma controls (OTCs), and 209 healthy controls (HCs). Longitudinal biomarker sampling was performed in 254 hospitalized TBI subjects and 19 OTCs. hsCRP rose between days 1 and 5 for TBI and OTC subjects, and fell by 2 weeks, but remained elevated compared with HCs (p
- Published
- 2021
35. COllaborative Neuropathology NEtwork Characterizing ouTcomes of TBI (CONNECT-TBI)
- Author
-
John F. Crary, Kristine Yaffe, Kamar E. Ameen-Ali, Brian L. Edlow, Douglas H. Smith, Thomas J. Montine, Abigail C. Bretzin, Victoria E. Johnson, Daniel P. Perl, Thomas McCabe, Sidney R. Hinds, Lili-Naz Hazrati, Gabor G. Kovacs, Edward B. Lee, Julia Kofler, Rebecca D. Folkerth, Ramon Diaz-Arrastia, Kristen Dams-O'Connor, Geoffrey T. Manley, John Q. Trojanowski, Douglas J. Wiebe, David O. Okonkwo, William Stewart, C. Dirk Keene, Jean-Pierre Dollé, Etty Cortes, David F. Meaney, and Diego Iacono
- Subjects
Male ,Gerontology ,Neurology ,Concussion ,Disease ,Neurodegenerative ,Neurodegenerative disease ,lcsh:RC346-429 ,Traumatic brain injury ,Injury - Trauma - (Head and Spine) ,Medicine ,Stroke ,Neuropathology ,Chronic traumatic encephalopathy ,Methodology Article ,Brain ,Neurodegenerative Diseases ,Athletic Injuries ,Neurological ,Disease Progression ,Autopsy ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Clinical Sciences ,Tissue Banks ,Traumatic Brain Injury (TBI) ,Pathology and Forensic Medicine ,Cellular and Molecular Neuroscience ,Acquired Cognitive Impairment ,Humans ,Dementia ,lcsh:Neurology. Diseases of the nervous system ,Traumatic Head and Spine Injury ,Aged ,Information Services ,business.industry ,Neurosciences ,medicine.disease ,nervous system diseases ,Brain Disorders ,Good Health and Well Being ,Athletes ,Injury (total) Accidents/Adverse Effects ,Biochemistry and Cell Biology ,Neurology (clinical) ,Injury - Traumatic brain injury ,business - Abstract
Efforts to characterize the late effects of traumatic brain injury (TBI) have been in progress for some time. In recent years much of this activity has been directed towards reporting of chronic traumatic encephalopathy (CTE) in former contact sports athletes and others exposed to repetitive head impacts. However, the association between TBI and dementia risk has long been acknowledged outside of contact sports. Further, growing experience suggests a complex of neurodegenerative pathologies in those surviving TBI, which extends beyond CTE. Nevertheless, despite extensive research, we have scant knowledge of the mechanisms underlying TBI-related neurodegeneration (TReND) and its link to dementia. In part, this is due to the limited number of human brain samples linked to robust demographic and clinical information available for research. Here we detail a National Institutes for Neurological Disease and Stroke Center Without Walls project, the COllaborative Neuropathology NEtwork Characterizing ouTcomes of TBI (CONNECT-TBI), designed to address current limitations in tissue and research access and to advance understanding of the neuropathologies of TReND. As an international, multidisciplinary collaboration CONNECT-TBI brings together multiple experts across 13 institutions. In so doing, CONNECT-TBI unites the existing, comprehensive clinical and neuropathological datasets of multiple established research brain archives in TBI, with survivals ranging minutes to many decades and spanning diverse injury exposures. These existing tissue specimens will be supplemented by prospective brain banking and contribute to a centralized route of access to human tissue for research for investigators. Importantly, each new case will be subject to consensus neuropathology review by the CONNECT-TBI Expert Pathology Group. Herein we set out the CONNECT-TBI program structure and aims and, by way of an illustrative case, the approach to consensus evaluation of new case donations.
- Published
- 2021
36. Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations
- Author
-
J. Russell Huie, Stefania Mondello, Christopher J. Lindsell, Luca Antiga, Esther L. Yuh, Elisa R. Zanier, Serge Masson, Bedda L. Rosario, Adam R. Ferguson, Opeolu Adeoye, Neeraj Badjatia, Kim Boase, Yelena Bodien, M. Ross Bullock, Randall Chesnut, John D. Corrigan, Karen Crawford, Ramon Diaz-Arrastia, Sureyya Dikmen, Ann-Christine Duhaime, Richard Ellenbogen, V. Ramana Feeser, Brandon Foreman, Raquel Gardner, Etienne Gaudette, Joseph Giacino, Dana Goldman, Luis Gonzalez, Shankar Gopinath, Rao Gullapalli, J. Claude Hemphill, Gillian Hotz, Sonia Jain, Frederick Korley, Joel Kramer, Natalie Kreitzer, Harvey Levin, Joan Machamer, Christopher Madden, Geoffrey T. Manley, Alastair Martin, Thomas McAllister, Michael McCrea, Randall Merchant, Pratik Mukherjee, Lindsay Nelson, Laura B. Ngwenya, Florence Noel, David Okonkwo, Daniel Perl, Ava Puccio, Miri Rabinowitz, Claudia Robertson, Jonathan Rosand, Angelle Sander, David Schnyer, Seth Seabury, Murray Stein, Sabrina Taylor, Nancy Temkin, Arthur Toga, Alex Valadka, Mary Vassar, Paul Vespa, Kevin Wang, John K. Yue, Ross Zafonte, Cecilia Ackerlund, Hadie Adams, Vanni Agnoletti, Judith Allanson, Krisztina Amrein, Norberto Andaluz, Nada Andelic, Lasse Andreassen, Audny Anke, Azasevac Antun, Anna Antoni, Hilko Ardon, Kaspars Auslands, Philippe Azouvi, Maria Luisa Azzolini, Camelia Baciu, Rafael Badenes, Ronald Bartels, Pál Barzó, Ursula Bauerfeind, Romuald Beauvais, Ronny Beer, Francisco Javier Belda, Bo Michael Bellander, Antonio Belli, Rémy Bellier, Habib Benali, Thierry Benard, Maurizio Berardino, Luigi Beretta, Christopher Beynon, Federico Bilotta, Harald Binder, Erta Biqiri, Morten Blaabjerg, Hugo den Boogert, Peter Bragge, Alexandra Brazinova, Vibeke Brinck, Joanne Brooker, Camilla Brorsson, Andras Buki, Monika Bullinger, Manuel Cabeleira, Emiliana Calappi, Maria Rosa Calvi, Peter Cameron, Lozano Guillermo Carbayo, Marco Carbonara, Elsa Carise, K. Carpenter, Ana M. Castaño León, Francesco Causin, Giorgio Chevallard, Arturo Chieregato, Giuseppe Citerio, Maryse Cnossen, Mark Coburn, Jonathan Coles, Lizzie Coles-Kemp, Johnny Collett, Jamie D. Cooper, Marta Correia, Amra Covic, Nicola Curry, Endre Czeiter, Marek Czosnyka, Claire Dahyot Fizelier, François Damas, Pierre Damas, Helen Dawes, Véronique De Keyser, Francesco Della Corte, Bart Depreitere, Godard C.W. de Ruiter, Dula Dilvesi, Shenghao Ding, Diederik Dippel, Abhishek Dixit, Emma Donoghue, Jens Dreier, Guy Loup Dulière, Heiko Engemann, Ari Ercole, Patrick Esser, Erzsébet Ezer, Martin Fabricius, Valery L. Feigin, Junfeng Feng, Kelly Foks, Francesca Fossi, Gilles Francony, Ulderico Freo, Shirin Frisvold, Alex Furmanov, Pablo Gagliardo, Damien Galanaud, Dashiell Gantner, Guoyi Gao, Karin Geleijns, Pradeep George, Alexandre Ghuysen, Lelde Giga, Benoit Giraud, Ben Glocker, Jagos Golubovic, Pedro A. Gomez, Benjamin Gravesteijn, Francesca Grossi, Russell L. Gruen, Deepak Gupta, Juanita A. Haagsma, Asta Kristine Håberg, Bram Jacobs, Iain Haitsma, Jed A. Hartings, Raimund Helbok, Eirik Helseth, Daniel Hertle, Astrid Hoedemaekers, Stefan Hoefer, Lindsay Horton, Jilske Huijben, Peter J. Hutchinson, Stefan Jankowski, Mike Jarrett, Bojan Jelaca, Ji yao Jiang, Kelly Jones, Konstantinos Kamnitsas, Mladen Karan, Ari Katila, Maija Kaukonen, Thomas Kerforne, Riku Kivisaari, Angelos G. Kolias, Bálint Kolumbán, Erwin Kompanje, Ksenija Kolundzija, Daniel Kondziella, Lars Owe Koskinen, Noémi Kovács, Alfonso Lagares, Linda Lanyon, Steven Laureys, Fiona Lecky, Christian Ledig, Rolf Lefering, Valerie Legrand, Jin Lei, Leon Levi, Roger Lightfoot, Hester Lingsma, Dirk Loeckx, Angels Lozano, Andrew I.R. Maas, Stephen MacDonald, Marc Maegele, Majdan Marek, Sebastian Major, Alex Manara, Geoffrey Manley, Didier Martin, Leon Francisco Martin, Costanza Martino, Hugues Maréchal, Armando Maruenda, Alessandro Masala, Julia Mattern, Charles McFadyen, Catherine McMahon, Béla Melegh, David Menon, Tomas Menovsky, Cristina Morganti Kossmann, Davide Mulazzi, Holger Mühlan, Visakh Muraleedharan, Lynnette Murray, Nandesh Nair, Ancuta Negru, David Nelson, Virginia Newcombe, Daan Nieboer, Quentin Noirhomme, József Nyirádi, Mauro Oddo, Annemarie Oldenbeuving, Matej Oresic, Fabrizio Ortolano, Aarno Palotie, Paul M. Parizel, Adriana Patruno, Jean François Payen, Natascha Perera, Vincent Perlbarg, Paolo Persona, Wilco Peul, Anna Piippo-Karjalainen, Floury Sébastien Pili, Matti Pirinen, Horia Ples, Maria Antonia Poca, Suzanne Polinder, Inigo Pomposo, Jussi Posti, Louis Puybasset, Andreea Radoi, Arminas Ragauskas, Rahul Raj, Malinka Rambadagalla, Ruben Real, Veronika Rehorčíková, Jonathan Rhodes, Samuli Ripatti, Saulius Rocka, Cecilie Roe, Olav Roise, Gerwin Roks, Jeffrey Rosenfeld, Christina Rosenlund, Guy Rosenthal, Rolf Rossaint, Sandra Rossi, Daniel Rueckert, Martin Rusnák, Marco Sacchi, Barbara Sahakian, Juan Sahuquillo, Oliver Sakowitz, Francesca Sala, Renan Sanchez Porras, Janos Sandor, Edgar Santos, Luminita Sasu, Davide Savo, Nadine Schäffer, Inger Schipper, Barbara Schlößer, Silke Schmidt, Herbert Schoechl, Guus Schoonman, Rico Frederik Schou, Elisabeth Schwendenwein, Michael Schöll, Charlie Sewalt, Özcan Sir, Toril Skandsen, Lidwien Smakman, Dirk Smeets, Peter Smielewski, Abayomi Sorinola, Emmanuel Stamatakis, Simon Stanworth, Nicole Steinbüchel, Ana Stevanovic, Robert Stevens, William Stewart, Ewout W. Steyerberg, Nino Stocchetti, Nina Sundström, Anneliese Synnot, Fabio Silvio Taccone, Riikka Takala, Viktória Tamás, Päivi Tanskanen, Mark Steven Taylor, Braden Te Ao, Olli Tenovuo, Ralph Telgmann, Guido Teodorani, Alice Theadom, Matt Thomas, Dick Tibboel, Christos Tolias, Jean Flory Luaba Tshibanda, Tony Trapani, Cristina Maria Tudora, Peter Vajkoczy, Shirley Vallance, Egils Valeinis, Gregory Van der Steen, Mathieu van der Jagt, JV de Naalt, Jeroen T.J.M. van Dijck, Thomas A. van Essen, Wim Van Hecke, Caroline van Heugten, Dominique Van Praag, Thijs Vande Vyvere, Julia Van Waesberghe, Audrey Vanhaudenhuyse, Alessia Vargiolu, Emmanuel Vega, Kimberley Velt, Jan Verheyden, Paul M. Vespa, Anne Vik, Rimantas Vilcinis, Giacinta Vizzino, Carmen Vleggeert Lankamp, Victor Volovici, Daphne Voormolen, Peter Vulekovic, Zoltán Vámos, Derick Wade, Kevin K.W. Wang, Lei Wang, Lars Wessels, Eveline Wiegers, Eno Wildschut, Guy Williams, Lindsay Wilson, Maren K.L. Winkler, Stefan Wolf, Peter Ylén, Alexander Younsi, Menashe Zaaroor, Frederik Zeiler, Yang Zhihui, Agate Ziverte, Fabrizio Zumbo, Huie, J Russell, Mondello, Stefania, Lindsell, Christopher J, Antiga, Luca, Yuh, Esther L, Zanier, Elisa R, Masson, Serge, Rosario, Bedda L, Ferguson, Adam R (Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators), Beretta, Luigi, Huie, J, Mondello, S, Lindsell, C, Antiga, L, Yuh, E, Zanier, E, Masson, S, Rosario, B, Ferguson, A, Citerio, G, and Molecular Neuroscience and Ageing Research (MOLAR)
- Subjects
Traumatic ,030506 rehabilitation ,Data Interpretation ,Data management ,data sharing ,TERMINAL HYDROLASE-L1 ,Big data ,Poison control ,0302 clinical medicine ,Brain Injuries, Traumatic ,TBI ,Medicine ,Biomarker discovery ,Common Data Elements ,traumatic brain injury ,Injuries and accidents ,Statistical ,Reference Standards ,NET RECLASSIFICATION INDEX ,Data Interpretation, Statistical ,Biomarker (medicine) ,biomarker ,0305 other medical science ,Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators ,CT ,The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Clinical Sciences ,Context (language use) ,Other Research Radboud Institute for Molecular Life Sciences [Radboudumc 0] ,Traumatic Brain Injury (TBI) ,Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators ,03 medical and health sciences ,MICROARRAY ,Special Section: Statistical Methods in Tbi Research ,Humans ,biomarkers ,Intensive care medicine ,Traumatic Head and Spine Injury ,Neurology & Neurosurgery ,business.industry ,Information Dissemination ,OUTCOME PREDICTION ,Neurosciences ,COMMON DATA ELEMENTS ,Precision medicine ,Brain Disorders ,DIFFUSE AXONAL INJURY ,Data sharing ,Good Health and Well Being ,Brain Injuries ,DISCOVERY ,TRACK ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
Contains fulltext : 238746.pdf (Publisher’s version ) (Closed access) Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.
- Published
- 2021
37. Point-of-Care Platform Blood Biomarker Testing of Glial Fibrillary Acidic Protein versus S100 Calcium-Binding Protein B for Prediction of Traumatic Brain Injuries: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study
- Author
-
Esther L. Yuh, Ava M. Puccio, Ramon Diaz-Arrastia, Frederick K. Korley, John K. Yue, Sonia Jain, Ross C. Puffer, Amy J. Markowitz, Sabrina R Taylor, Kevin K.W. Wang, Xiaoying Sun, David O. Okonkwo, Pratik Mukherjee, and Geoffrey T. Manley
- Subjects
Male ,Traumatic ,030506 rehabilitation ,Pathology ,Clinical knowledge ,Cohort Studies ,0302 clinical medicine ,Brain Injuries, Traumatic ,Medicine ,Glial fibrillary acidic protein ,biology ,traumatic brain injury ,Injuries and accidents ,Middle Aged ,Biomarker (medicine) ,Female ,S100 calcium-binding protein B ,0305 other medical science ,Clearance ,Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators ,Adult ,medicine.medical_specialty ,Physical Injury - Accidents and Adverse Effects ,Traumatic brain injury ,Point-of-Care Systems ,Clinical Sciences ,S100 Calcium Binding Protein beta Subunit ,Traumatic Brain Injury (TBI) ,Sensitivity and Specificity ,Head trauma ,03 medical and health sciences ,Clinical Research ,Glial Fibrillary Acidic Protein ,Humans ,Traumatic Head and Spine Injury ,Point of care ,Aged ,Neurology & Neurosurgery ,business.industry ,Neurosciences ,biomarkers ,Original Articles ,medicine.disease ,Brain Disorders ,Good Health and Well Being ,nervous system ,S100 calcium binding protein B ,Brain Injuries ,biology.protein ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Biomarkers - Abstract
Glial fibrillary acidic protein (GFAP) is cleared by the Food and Drug Administration (FDA) to determine need for head computed tomography (CT) within 12 h after mild traumatic brain injury (TBI) (Glasgow Coma Score [GCS] 13-15); S100 calcium-binding protein B (S100B) serves this function in Europe. This phase 1 biomarker cohort analysis of the multi-center, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study compares GFAP's diagnostic performance, measured on a rapid point-of-care platform, against protein S100B to predict intracranial abnormalities on CT within 24 h post-injury across the spectrum of TBI (GCS 3-15). Head CT scan performed in TBI subjects and blood was collected for all consenting subjects presenting to 18 United States level 1 trauma centers. Plasma was analyzed on a point-of-care device prototype assay for GFAP and serum was analyzed for S100B. In 1359 patients with TBI (GCS 3-15), mean (standard deviation [SD]) age = 40.1 (17.0) years; 68% were male. Plasma GFAP levels were significantly higher in CT+ TBI subjects (median = 1358 pg/mL, interquartile range [IQR]: 472-3803) than in CT- TBI subjects (median = 116 pg/mL, IQR: 26-397) or orthopedic trauma controls (n = 122; median = 13 pg/mL, IQR: 7-20), p
- Published
- 2020
38. Diffuse Axonal Injury and Cerebral Contusions on MRI Are Associated with Decreased Functional Outcome in CT-negative TBI
- Author
-
Pratik Mukherjee, David O. Okonkwo, Mary J. Vassar, Cecilia L Dalle Ore, Ramon Diaz-Arrastia, Murray B. Stein, John K. Yue, Ava M. Puccio, David M. Schnyer, Ethan A. Winkler, Alex B. Valadka, Geoffrey T. Manley, Hester F. Lingsma, Hansen Deng, Esther L. Yuh, and Sabrina R Taylor
- Subjects
medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Treatment outcome ,Diffuse axonal injury ,Glasgow Coma Scale ,Magnetic resonance imaging ,medicine.disease ,Functional disability ,medicine ,Surgery ,Neurology (clinical) ,Radiology ,business - Published
- 2020
39. Effect of Late Post-traumatic Seizures on Outcomes at One Year After Traumatic Brain Injury
- Author
-
John F Burke, David O Okonkwo, James Grugger, Daniel Lowenstein, Nancy Temkin, Jason Barber, Brandon Foreman, Kan Ding, Jennifer Kim, Ramon Diaz-Arrastia, and Geoffrey T Manley
- Subjects
Surgery ,Neurology (clinical) - Published
- 2020
40. Polytrauma is Associated with Worse 3- and 6-month Disability After Traumatic Brain Injury
- Author
-
John K Yue, Gabriela Satris, Cecilia L Dalle Ore, J. Russell Huie, Hansen Deng, Ethan A Winkler, Young M Lee, Mary Vassar, Sabrina Taylor, David M Schnyer, Hester F Lingsma, Ava Puccio, Esther Yuh, Pratik Mukherjee, Alex B Valadka, Adam Ferguson, David O Okonkwo, and Geoffrey T Manley
- Subjects
Surgery ,Neurology (clinical) - Published
- 2020
41. High-sensitivity C-Reactive Protein is a Prognostic Biomarker of 6-month Disability After Traumatic Brain Injury
- Author
-
Xiaoying Sun, David O. Okonkwo, Amy J. Markowitz, Murray B. Stein, John K. Yue, Ethan A. Winkler, Geoffrey T. Manley, Hansen Deng, Pratik Mukherjee, Mary J. Vassar, Joseph T. Giacino, Michael McCrea, Harvey S. Levin, Frederick K. Korley, Sabrina R Taylor, Kevin K.W. Wang, Esther L. Yuh, Ramon Diaz-Arrastia, Nancy R. Temkin, Ava M. Puccio, Sureyya Dikmen, Linda Xu, Claudia S. Robertson, Ross C. Puffer, Miri Rabinowitz, and Sonia Jain
- Subjects
Oncology ,medicine.medical_specialty ,Glial fibrillary acidic protein ,biology ,business.industry ,Traumatic brain injury ,C-reactive protein ,Inflammation ,medicine.disease ,Internal medicine ,biology.protein ,Medicine ,Injury Severity Score ,Surgery ,Prognostic biomarker ,Neurology (clinical) ,medicine.symptom ,business - Published
- 2020
42. Analysis of High Frequency Intracranial Pressure Data in Neurocritical Care Patients
- Author
-
Lara Zimmermann, Gregory W.J. Hawryluk, Adam R. Ferguson, Rajiv Saigal, Quan Ding, Jessica Neilson, Geoffrey T. Manley, J. Russell Huie, and Ryan Hirschi
- Subjects
medicine.medical_specialty ,business.industry ,Glasgow Outcome Scale ,Neurointensive care ,Normal values ,Intensive care unit ,law.invention ,law ,Reference values ,Emergency medicine ,Intracranial pressure monitoring ,Medicine ,Surgery ,Neurology (clinical) ,business ,Treatment threshold ,Intracranial pressure - Published
- 2020
43. The Morbidity and Mortality of Surgery for Traumatic Brain Injury in Geriatric Patients
- Author
-
Alexander F Haddad, Anthony M DiGiorgio, Young M Lee, Anthony T Lee, John F Burke, Michael C Huang, Sanjay S Dhall, Geoffrey T Manley, and Phiroz E Tarapore
- Subjects
Surgery ,Neurology (clinical) - Published
- 2020
44. Does State Malpractice Environment Affect Outcomes Following Spinal Fusions? A Machine Learning Analysis
- Author
-
Praveen V. Mummaneni, Andrew Chan, Michael C. Huang, Phiroz E. Tarapore, Shane Shahrestani, Dean Chou, Michele Santacatterina, John F. Burke, Geoffrey T. Manley, Brenton Pennicooke, Alexander Ballatori, Sanjay S. Dhall, and Anthony M DiGiorgio
- Subjects
medicine.medical_specialty ,Physical medicine and rehabilitation ,business.industry ,Malpractice ,Tort reform ,Medicine ,Surgery ,Neurology (clinical) ,business ,Affect (psychology) ,National Practitioner Data Bank ,Medicolegal issues - Published
- 2020
45. Decision tree–based machine learning analysis of intraoperative vasopressor use to optimize neurological improvement in acute spinal cord injury
- Author
-
Nitin Agarwal, Alexander A. Aabedi, Abel Torres-Espin, Austin Chou, Thomas A. Wozny, Praveen V. Mummaneni, John F. Burke, Adam R. Ferguson, Nikos Kyritsis, Sanjay S. Dhall, Philip R. Weinstein, Xuan Duong-Fernandez, Jonathan Pan, Vineeta Singh, Debra D. Hemmerle, Jason F. Talbott, William D. Whetstone, Jacqueline C. Bresnahan, Geoffrey T. Manley, Michael S. Beattie, and Anthony M. DiGiorgio
- Subjects
Machine Learning ,Decision Trees ,Humans ,Surgery ,Longitudinal Studies ,Recovery of Function ,Neurology (clinical) ,General Medicine ,Spinal Cord Injuries ,Retrospective Studies - Abstract
OBJECTIVE Previous work has shown that maintaining mean arterial pressures (MAPs) between 76 and 104 mm Hg intraoperatively is associated with improved neurological function at discharge in patients with acute spinal cord injury (SCI). However, whether temporary fluctuations in MAPs outside of this range can be tolerated without impairment of recovery is unknown. This retrospective study builds on previous work by implementing machine learning to derive clinically actionable thresholds for intraoperative MAP management guided by neurological outcomes. METHODS Seventy-four surgically treated patients were retrospectively analyzed as part of a longitudinal study assessing outcomes following SCI. Each patient underwent intraoperative hemodynamic monitoring with recordings at 5-minute intervals for a cumulative 28,594 minutes, resulting in 5718 unique data points for each parameter. The type of vasopressor used, dose, drug-related complications, average intraoperative MAP, and time spent in an extreme MAP range (< 76 mm Hg or > 104 mm Hg) were collected. Outcomes were evaluated by measuring the change in American Spinal Injury Association Impairment Scale (AIS) grade over the course of acute hospitalization. Features most predictive of an improvement in AIS grade were determined statistically by generating random forests with 10,000 iterations. Recursive partitioning was used to establish clinically intuitive thresholds for the top features. RESULTS At discharge, a significant improvement in AIS grade was noted by an average of 0.71 levels (p = 0.002). The hemodynamic parameters most important in predicting improvement were the amount of time intraoperative MAPs were in extreme ranges and the average intraoperative MAP. Patients with average intraoperative MAPs between 80 and 96 mm Hg throughout surgery had improved AIS grades at discharge. All patients with average intraoperative MAP > 96.3 mm Hg had no improvement. A threshold of 93 minutes spent in an extreme MAP range was identified after which the chance of neurological improvement significantly declined. Finally, the use of dopamine as compared to norepinephrine was associated with higher rates of significant cardiovascular complications (50% vs 25%, p < 0.001). CONCLUSIONS An average intraoperative MAP value between 80 and 96 mm Hg was associated with improved outcome, corroborating previous results and supporting the clinical verifiability of the model. Additionally, an accumulated time of 93 minutes or longer outside of the MAP range of 76–104 mm Hg is associated with worse neurological function at discharge among patients undergoing emergency surgical intervention for acute SCI.
- Published
- 2022
46. 182 Predictors of Six-Month Inability to Return to Work in Previously Employed Subjects After Mild Traumatic Brain Injury: A TRACK-TBI Pilot Study
- Author
-
John K. Yue, Ryan R. L. Phelps, Debra P. Hemmerle, Pavan S. Upadhyayula, Ethan A. Winkler, Hansen Deng, Diana Chang, Mary Vassar, Sabrina Taylor, David Schnyer, Hester F. Lingsma, Ava Puccio, Esther Yuh, Pratik Mukherjee, Michael C. Huang, Laura B. Ngwenya, Alex B. Valadka, Amy Markowitz, David O. Okonkwo, and Geoffrey T. Manley
- Subjects
Surgery ,Neurology (clinical) - Published
- 2022
47. 322 Neuroinflammatory Biomarkers for Traumatic Brain Injury Diagnosis and Prognosis: Results From the TRACK-TBI Pilot Study
- Author
-
John K. Yue, Firas Kobeissy, Zhihui Yang, Haiyan Xu, Hansen Deng, Kasey Han, Ava Puccio, Xiaoying Sun, Miri Rabinowitz, Amy Markowitz, David O. Okonkwo, Ramon Diaz-Arrastia, Geoffrey T. Manley, and Kevin Wang
- Subjects
Surgery ,Neurology (clinical) - Published
- 2022
48. Satisfaction with Life after Mild Traumatic Brain Injury: A TRACK-TBI Study
- Author
-
Pratik Mukherjee, Sureyya Dikmen, Xiaoying Sun, Nancy R. Temkin, Joseph T. Giacino, Murray B. Stein, Michael McCrea, Harvey S. Levin, Sonia Jain, Stephanie Agtarap, Lindsay D. Nelson, Esther L. Yuh, Geoffrey T. Manley, Laura Campbell-Sills, and Track-Tbi Investigators
- Subjects
Adult ,Male ,030506 rehabilitation ,medicine.medical_specialty ,Biomedical Research ,Traumatic brain injury ,Population ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Physical medicine and rehabilitation ,Sleep Initiation and Maintenance Disorders ,Concussion ,medicine ,Humans ,Prospective Studies ,education ,Brain Concussion ,education.field_of_study ,Post-Concussive Symptoms ,business.industry ,Mental Disorders ,Life satisfaction ,Original Articles ,Middle Aged ,medicine.disease ,Patient Satisfaction ,Well-being ,Female ,Neurology (clinical) ,Chronic Pain ,0305 other medical science ,business ,030217 neurology & neurosurgery ,Follow-Up Studies - Abstract
Identifying the principal determinants of life satisfaction following mild TBI (mTBI) may inform efforts to improve subjective well-being in this population. We examined life satisfaction among participants in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study who presented with mTBI (Glasgow Coma Scale [GCS] score = 13–15; n = 1152). An L1-regularization path algorithm was used to select optimal sets of baseline and concurrent symptom measures for prediction of scores on the Satisfaction with Life Scale (SWLS) at 2 weeks and 3, 6, and 12 months post-injury. Multi-variable linear regression models (all n = 744–894) were then fit to evaluate associations between the empirically selected predictors and SWLS scores at each follow-up visit. Results indicated that emotional post-TBI symptoms (all b = −1.27 to −0.77, all p
- Published
- 2020
49. Smaller Regional Brain Volumes Predict Posttraumatic Stress Disorder at 3 Months after Mild Traumatic Brain Injury
- Author
-
Murray B. Stein, Esther Yuh, Sonia Jain, David O. Okonkwo, Christine L. Mac Donald, Harvey Levin, Joseph T. Giacino, Sureyya Dikmen, Mary J. Vassar, Ramon Diaz-Arrastia, Claudia S. Robertson, Lindsay D. Nelson, Michael McCrea, Xiaoying Sun, Nancy Temkin, Sabrina R. Taylor, Amy J. Markowitz, Geoffrey T. Manley, Pratik Mukherjee, Opeolu Adeoye, Neeraj Badjatia, Kim Boase, Jason Barber, Yelena Bodien, M. Ross Bullock, Randall Chesnut, John D. Corrigan, Karen Crawford, Ann-Christine Duhaime, Richard Ellenbogen, V. Ramana Feeser, Adam R. Ferguson, Brandon Foreman, Raquel Gardner, Etienne Gaudette, Dana Goldman, Luis Gonzalez, Shankar Gopinath, Rao Gullapalli, J. Claude Hemphill, Gillian Hotz, C. Dirk Keene, Frederick K. Korley, Joel Kramer, Natalie Kreitzer, Chris Lindsell, Joan Machamer, Christopher Madden, Alastair Martin, Thomas McAllister, Randall Merchant, Laura B. Ngwenya, Florence Noel, Amber Nolan, Eva Palacios, Daniel Perl, Ava Puccio, Miri Rabinowitz, Claudia Robertson, Jonathan Rosand, Angelle Sander, Gabriella Satris, David Schnyer, Seth Seabury, Arthur Toga, Alex Valadka, Paul Vespa, Kevin Wang, John K. Yue, and Ross Zafonte
- Subjects
Traumatic brain injury ,Cognitive Neuroscience ,Hippocampus ,behavioral disciplines and activities ,Amygdala ,050105 experimental psychology ,Article ,Stress Disorders, Post-Traumatic ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,Biological Psychiatry ,Brain Concussion ,Cognitive reserve ,medicine.diagnostic_test ,business.industry ,05 social sciences ,Glasgow Coma Scale ,Brain ,Magnetic resonance imaging ,Emergency department ,medicine.disease ,medicine.anatomical_structure ,Anesthesia ,Neurology (clinical) ,business ,Insula ,030217 neurology & neurosurgery - Abstract
Background Brain volumes in regions such as the hippocampus and amygdala have been associated with risk for the development of posttraumatic stress disorder (PTSD). The objective of this study was to determine whether a set of regional brain volumes, measured by magnetic resonance imaging at 2 weeks following mild traumatic brain injury, were predictive of PTSD at 3 and 6 months after injury. Methods Using data from TRACK-TBI (Transforming Research and Clinical Knowledge in TBI), we included patients (N = 421) with Glasgow Coma Scale scores 13–15 assessed after evaluation in the emergency department and at 2 weeks, 3 months, and 6 months after injury. Probable PTSD diagnosis (PTSD Checklist for DSM-5 score, ≥33) was the outcome. FreeSurfer 6.0 was used to perform volumetric analysis of three-dimensional T1-weighted magnetic resonance images at 3T obtained 2 weeks post injury. Brain regions selected a priori for volumetric analyses were insula, hippocampus, amygdala, superior frontal cortex, rostral and caudal anterior cingulate, and lateral and medial orbitofrontal cortices. Results Overall, 77 (18.3%) and 70 (16.6%) patients had probable PTSD at 3 and 6 months. A composite volume derived as the first principal component incorporating 73.8% of the variance in insula, superior frontal cortex, and rostral and caudal cingulate contributed to the prediction of 3-month (but not 6-month) PTSD in multivariable models incorporating other established risk factors. Conclusions Results, while needing replication, provide support for a brain reserve hypothesis of PTSD and proof of principle for how prediction of at-risk individuals might be accomplished to enhance prognostic accuracy and enrich clinical prevention trials for individuals at the highest risk of PTSD following mild traumatic brain injury.
- Published
- 2020
50. Common Data Elements: Critical Assessment of Harmonization between Current Multi-Center Traumatic Brain Injury Studies
- Author
-
Sacha Meeuws, Michael J. Bell, Nandesh Nair, John K. Yue, Jilske A Huijben, Hester F. Lingsma, Geoffrey T. Manley, Andrew I R Maas, and Public Health
- Subjects
030506 rehabilitation ,medicine.medical_specialty ,Traumatic brain injury ,medicine.medical_treatment ,Clinical Sciences ,Harmonization ,English language ,Clinical knowledge ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Brain Injuries, Traumatic ,medicine ,Humans ,Prospective Studies ,standardization ,Rehabilitation ,Data collection ,Common Data Elements ,Neurology & Neurosurgery ,business.industry ,traumatic brain injury ,Neurosciences ,clinical trial ,Original Articles ,medicine.disease ,Clinical trial ,Data Interpretation, Statistical ,Critical assessment ,Neurology (clinical) ,Human medicine ,InTBIR ,0305 other medical science ,business ,data standards ,030217 neurology & neurosurgery - Abstract
Standardization and harmonization of data collection in studies on traumatic brain injury (TBI) is of paramount importance for meta-analyses across studies. Nearly 10 years ago, the first set of Common Data Elements for TBI (TBI-CDEs v1) were introduced to achieve these goals. The TBI-CDEs version 2 were developed in 2012 to broaden the approach to all ages, injury severity, and phases of recovery. We aimed to quantify the degree of harmonization of these data elements in three large, prospective multi-center studies conducted within the International Initiative for TBI Research (InTBIR). Data variables of the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI; adult and pediatric patients in Europe and Israel), Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI; adult and pediatric patients in the U.S.), and Approaches and Decisions in Acute Pediatric TBI (ADAPT; international study on severe pediatric TBI) studies were indexed and matched to the second version of the TBI CDEs. We focused on the CDE sub-categories of "Acute Hospitalized" (AH) and "Moderate/Severe TBI: Rehabilitation (Rehab). All "Core" and "Basic" level CDEs were considered. Closely related elements were reduced to one variable to prevent over-representation. Categorical elements and text elements for the same variable were likewise merged to one element for analysis. Following reduction and merging of related elements, 21 Core, 46 Basic AH, and 50 Basic Rehab elements were deemed harmonizable across studies. Gaps in global applicability were identified for four of the TBI CDEs and many of the outcome instruments, which are only available in the English language. Agreements of Core and Basic study CDEs for the AH domain with the TBI CDEs were respectively 81% and 91% for CENTER-TBI, 76% and 93% for TRACK-TBI, and 85% in ADAPT for both domains. For the domain Rehab, agreement with Basic TBI CDEs was 84% for CENTER-TBI, 94% for TRACK-TBI, and 71% for ADAPT. Non-harmonization was largely caused by absence of the elements in the studies. For elements present, the compatibility of coding with TBI CDEs was 90-99%. The degree of harmonization was greatest between CENTER-TBI and TRACK-TBI with 81-87% overlap within the TBI CDE sub-categories. The high degree of harmonization of study variables among these studies demonstrates the importance and utility of common data elements in TBI research. It also confirms the potential for future meta-analyses across these large studies, especially for CENTER TBI and TRACK TBI. The global applicability of the TBI CDEs needs to be improved for them to become a global standard for TBI research. CENTER-TBI, TRACK-TBI, and ADAPT, along with other studies within the InTBIR Initiative, provide a platform to inform further refinement and internationalization for the next version of the TBI CDEs.
- Published
- 2020
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.