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Clinical Predictors of 3- and 6-Month Outcome for Mild Traumatic Brain Injury Patients with a Negative Head CT Scan in the Emergency Department: A TRACK-TBI Pilot Study. Brain Sci 2020; 10:brainsci10050269. [PMID: 32369967 PMCID: PMC7287871 DOI: 10.3390/brainsci10050269] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 04/08/2020] [Accepted: 04/28/2020] [Indexed: 01/25/2023] Open
Abstract
A considerable subset of mild traumatic brain injury (mTBI) patients fail to return to baseline functional status at or beyond 3 months postinjury. Identifying at-risk patients for poor outcome in the emergency department (ED) may improve surveillance strategies and referral to care. Subjects with mTBI (Glasgow Coma Scale 13–15) and negative ED initial head CT < 24 h of injury, completing 3- or 6-month functional outcome (Glasgow Outcome Scale-Extended; GOSE), were extracted from the prospective, multicenter Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Pilot study. Outcomes were dichotomized to full recovery (GOSE = 8) vs. functional deficits (GOSE < 8). Univariate predictors with p < 0.10 were considered for multivariable regression. Adjusted odds ratios (AOR) were reported for outcome predictors. Significance was assessed at p < 0.05. Subjects who completed GOSE at 3- and 6-month were 211 (GOSE < 8: 60%) and 185 (GOSE < 8: 65%). Risk factors for 6-month GOSE < 8 included less education (AOR = 0.85 per-year increase, 95% CI: (0.74–0.98)), prior psychiatric history (AOR = 3.75 (1.73–8.12)), Asian/minority race (American Indian/Alaskan/Hawaiian/Pacific Islander) (AOR = 23.99 (2.93–196.84)), and Hispanic ethnicity (AOR = 3.48 (1.29–9.37)). Risk factors for 3-month GOSE < 8 were similar with the addition of injury by assault predicting poorer outcome (AOR = 3.53 (1.17–10.63)). In mTBI patients seen in urban trauma center EDs with negative CT, education, injury by assault, Asian/minority race, and prior psychiatric history emerged as risk factors for prolonged disability.
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Marceaux JC, Soble JR, O'Rourke JJF, Swan AA, Wells M, Amuan M, Sagiraju HKR, Eapen BC, Pugh MJ. Validity of early-onset dementia diagnoses in VA electronic medical record administrative data. Clin Neuropsychol 2019; 34:1175-1189. [PMID: 31645200 DOI: 10.1080/13854046.2019.1679889] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To determine the validity of diagnoses indicative of early-onset dementia (EOD) obtained from an algorithm using administrative data, we examined Veterans Health Administration (VHA) electronic medical records (EMRs). METHOD A previously used method of identifying cases of dementia using administrative data was applied to a random sample of 176 cases of Post-9/11 deployed veterans under 65 years of age. Retrospective, cross-sectional examination of EMRs was conducted, using a combination of administrative data, chart abstraction, and review/consensus by board-certified neuropsychologists. RESULTS Approximately 73% of EOD diagnoses identified using existing algorithms were identified as false positives in the overall sample. This increased to approximately 76% among those with mental health conditions and approximately 85% among those with mild traumatic brain injury (TBI; i.e. concussion). Factors related to improved diagnostic accuracy included more severe TBI, diagnosing clinician type, presence of neuroimaging data, absence of a comorbid mental health condition diagnosis, and older age at time of diagnosis. CONCLUSIONS A previously used algorithm for detecting dementia using VHA administrative data was not supported for use in the younger adult samples and resulted in an unacceptably high number of false positives. Based on these findings, there is concern for possible misclassification in population studies using similar algorithms to identify rates of EOD among veterans. Further, we provide suggestions to develop an enhanced algorithm for more accurate dementia surveillance among younger populations.
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Affiliation(s)
- Janice C Marceaux
- Psychology Service, South Texas Veterans Health Care System San Antonio, TX, USA.,Department of Neurology, University of Texas Health Science Center, San Antonio, TX, USA
| | - Jason R Soble
- Psychology Service, South Texas Veterans Health Care System San Antonio, TX, USA.,Psychiatry & Neurology, Neuropsychiatric Institute, University of Illinois College of Medicine, Chicago, IL, USA
| | - Justin J F O'Rourke
- Psychology Service, South Texas Veterans Health Care System San Antonio, TX, USA
| | - Alicia A Swan
- Department of Psychology, University of Texas at San Antonio, San Antonio, TX, USA
| | - Margaret Wells
- Polytrauma Rehabilitation Center, South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Megan Amuan
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, USA
| | - Hari Krishna Raju Sagiraju
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Blessen C Eapen
- Polytrauma Rehabilitation Center, South Texas Veterans Health Care System, San Antonio, TX, USA.,Department of Rehabilitation Medicine, UT Health San Antonio, San Antonio, TX, USA
| | - Mary Jo Pugh
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, USA.,Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
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Relationships Between Subcortical Shape Measures and Subjective Symptom Reporting in US Service Members With Mild Traumatic Brain Injury. J Head Trauma Rehabil 2019. [PMID: 29517591 DOI: 10.1097/htr.0000000000000379] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE To assess interactions of subcortical structure with subjective symptom reporting associated with mild traumatic brain injury (mTBI), using advanced shape analysis derived from volumetric MRI. PARTICIPANTS Seventy-six cognitively symptomatic individuals with mTBI and 59 service members sustaining only orthopedic injury. DESIGN Descriptive cross-sectional study. MAIN MEASURES Self-report symptom measures included the PTSD Checklist-Military, Neurobehavioral Symptom Inventory, and Symptom Checklist-90-Revised. High-dimensional measures of shape characteristics were generated from volumetric MRI for 7 subcortical structures in addition to standard volume measures. RESULTS Several significant interactions between group status and symptom measures were observed across the various shape measures. These interactions were revealed in the right thalamus and globus pallidus for each of the shape measures, indicating differences in structure thickness and expansion/contraction for these regions. No relationships with volume were observed. CONCLUSION Results provide evidence for the sensitivity of shape measures in differentiating symptomatic mTBI individuals from controls, while volumetric measures did not exhibit this same sensitivity. Disruptions to thalamic nuclei identified here highlight the role of the thalamus in the spectrum of symptoms associated with mTBI. Additional work is needed to prospectively, and longitudinally, assess these measures along with cognitive performance and advanced multimodal imaging methods to extend the utility of shape analysis in relation to functional outcomes in this population.
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Bomyea J, Jurick SM, Keller AV, Hays CC, Twamley EW, Jak AJ. Neurobehavioral symptom validity and performance validity in veterans: Evidence for distinct outcomes across data types. APPLIED NEUROPSYCHOLOGY-ADULT 2018; 27:62-72. [PMID: 30183368 DOI: 10.1080/23279095.2018.1480484] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Self-reported traumatic brain injury (TBI) is common in combat veterans, and identification of psychiatric and neuropsychological consequences following TBI has become a priority for veteran healthcare. Given the importance of accurately capturing symptoms potentially related to TBI in VA settings, validity metrics are frequently used to evaluate both neuropsychological testing validity and the validity of symptom self-reports. The Validity-10 of the Neurobehavioral Symptom Inventory is one such metric that was designed to evaluate symptom over-reporting and thus identify individuals who may produce inconclusive testing profiles. However, the Validity-10's ability to predict objective effort during neuropsychological testing has not been sufficiently explored in veterans. Clinical evaluation data were collected from 295 veterans seeking treatment in a VA TBI clinic. We examined whether the Validity-10 can predict invalid performance on a battery of neuropsychological tests. Validity-10 was a poor predictor of performance validity metrics. Results provide a conceptual replication of earlier work demonstrating that performance and symptom validity are divergent. As such, separate evaluation of these domains is warranted during evaluations conducted in veteran TBI populations.
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Affiliation(s)
- Jessica Bomyea
- VA San Diego Healthcare System, San Diego, California, USA.,University of California, San Diego, California, USA
| | - Sarah M Jurick
- VA San Diego Healthcare System, San Diego, California, USA.,University of California, San Diego, California, USA
| | - Amber V Keller
- VA San Diego Healthcare System, San Diego, California, USA
| | - Chelsea C Hays
- SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, California, USA
| | - Elizabeth W Twamley
- VA San Diego Healthcare System, San Diego, California, USA.,University of California, San Diego, California, USA
| | - Amy J Jak
- VA San Diego Healthcare System, San Diego, California, USA.,University of California, San Diego, California, USA
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Denning JH, Shura RD. Cost of malingering mild traumatic brain injury-related cognitive deficits during compensation and pension evaluations in the veterans benefits administration. APPLIED NEUROPSYCHOLOGY-ADULT 2017; 26:1-16. [DOI: 10.1080/23279095.2017.1350684] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- John H. Denning
- Department of Veteran Affairs, Mental Health Service, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, South Carolina, USA
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Robert D. Shura
- Mid-Atlantic Mental Illness Research, Education, and Clinical Center, Salisbury, North Carolina, USA
- Mental Health and Behavioral Science Service Line, W. G. (Bill) Hefner Veterans Affairs Medical Center (VAMC), Salisbury, North Carolina, USA
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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Fakhran S, Qu C, Alhilali LM. Effect of the Suboccipital Musculature on Symptom Severity and Recovery after Mild Traumatic Brain Injury. AJNR Am J Neuroradiol 2016; 37:1556-60. [PMID: 27012296 DOI: 10.3174/ajnr.a4730] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 01/13/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Neck musculature mass has been suggested as a biomechanical contributor to injury severity in mild traumatic brain injury. We sought to determine how the cross-sectional areas of the suboccipital muscles affect symptom severity, neurocognitive performance, and recovery time in patients with mild traumatic brain injury. MATERIALS AND METHODS Sixty-four consecutive patients with mild traumatic brain injury underwent MR imaging and serial neurocognitive testing with the Immediate Post-Concussion Assessment and Cognitive Test. Cross-sectional areas of the rectus capitis posterior musculature were retrospectively obtained at C1, and cross-sectional areas of the remaining 7 suboccipital muscles were measured at C2. Cross-sectional area reproducibility was evaluated. Overall and individual muscle cross-sectional areas were correlated with symptom severity, neuropsychological testing, recovery time, and headache. RESULTS Sixty-four patients with mild traumatic brain injury had imaging through C1, and 43 had imaging through C2. Reproducibility of cross-sectional area measurements was substantial (correlation coefficients = 0.9517-0.9891). Lower cross-sectional area of the rectus capitis posterior minor was correlated with greater symptom severity (r = 0.596, P < .0001), longer recovery time (r = 0.387, P = .002), poor verbal memory performance (r = 0.285, P = .02), and headache (r = 0.39, P = .001). None of the other cross-sectional areas were associated with symptom severity, recovery time, neurocognitive testing, or headache. CONCLUSIONS In mild traumatic brain injury, the rectus capitis posterior minor is the only suboccipital muscle whose cross-sectional area is associated with symptom severity and worse outcome. Given the unique connection of this muscle to the dura, this finding may suggest that pathology of the myodural bridge contributes to symptomatology and prognosis in mild traumatic brain injury.
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Affiliation(s)
- S Fakhran
- From the Department of Radiology (S.F.), East Valley Diagnostic Imaging/Banner Health and Hospital Systems, Mesa, Arizona
| | - C Qu
- Department of Radiology (C.Q.), Division of Neuroradiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - L M Alhilali
- Department of Neuroradiology (L.M.A.), Barrow Neurological Institute, Phoenix, Arizona.
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Bigler ED. Neuroimaging as a biomarker in symptom validity and performance validity testing. Brain Imaging Behav 2015; 9:421-44. [DOI: 10.1007/s11682-015-9409-1] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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