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Mikolić A, van Klaveren D, Jost M, Maas AI, Shi S, Silverberg ND, Wilson L, Lingsma HF, Steyerberg EW. Prognostic models for depression and post-traumatic stress disorder symptoms following traumatic brain injury: a CENTER-TBI study. BMJ MENTAL HEALTH 2025; 28:e301181. [PMID: 39819833 PMCID: PMC11751936 DOI: 10.1136/bmjment-2024-301181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 10/25/2024] [Indexed: 01/19/2025]
Abstract
BACKGROUND Traumatic brain injury (TBI) is associated with an increased risk of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). We aimed to identify predictors and develop models for the prediction of depression and PTSD symptoms at 6 months post-TBI. METHODS We analysed data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury study. We used linear regression to model the relationship between predictors and depression (Patient Health Questionnaire-9) and PTSD symptoms (PTSD Checklist for Diagnostic and Statistical Manual for Mental Health Disorders Fifth Edition). Predictors were selected based on Akaike's Information Criterion. Additionally, we fitted logistic models for the endpoints 'probable MDD' and 'probable PTSD'. We also examined the incremental prognostic value of 2-3 weeks of symptoms. RESULTS We included 2163 adults (76% Glasgow Coma Scale=13-15). Depending on the scoring criteria, 7-18% screened positive for probable MDD and about 10% for probable PTSD. For both outcomes, the selected models included psychiatric history, employment status, sex, injury cause, alcohol intoxication and total injury severity; and for depression symptoms also preinjury health and education. The performance of the models was modest (proportion of explained variance=R2 8% and 7% for depression and PTSD, respectively). Symptoms assessed at 2-3 weeks had a large incremental prognostic value (delta R2=0.25, 95% CI 0.24 to 0.26 for depression symptoms; delta R2=0.30, 95% CI 0.29 to 0.31 for PTSD). CONCLUSION Preinjury characteristics, such as psychiatric history and unemployment, and injury characteristics, such as violent injury cause, can increase the risk of mental health problems after TBI. The identification of patients at risk should be guided by early screening of mental health.
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Affiliation(s)
- Ana Mikolić
- Department of Public Health, Erasmus MC, Rotterdam, The Netherlands
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Mathilde Jost
- Department of Public Health, Erasmus MC, Rotterdam, The Netherlands
| | - Andrew Ir Maas
- Department of Neurosurgery, University Hospital Antwerp, Edegem, Belgium
- Department of Translational Neuroscience, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Shuyuan Shi
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Noah D Silverberg
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
- Rehabilitation Research Program, Centre for Aging SMART, Vancouver Coastal Health, Vancouver, British Columbia, Canada
| | - Lindsay Wilson
- Department of Psychology, University of Stirling, Stirling, UK
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC, Rotterdam, The Netherlands
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
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Albrecht JS, Gardner RC, Bahorik AL, Xia F, Yaffe K. Psychiatric Disorders Are Common Among Older US Veterans Prior to Traumatic Brain Injury. J Head Trauma Rehabil 2024; 39:E525-E531. [PMID: 38833711 DOI: 10.1097/htr.0000000000000959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
OBJECTIVE To estimate the impact of traumatic brain injury (TBI) on prevalence of posttraumatic stress disorder (PTSD), depression, and alcohol and substance use disorders. SETTING A random sample of Veteran's Health Administration data. PARTICIPANTS A total of 14 116 veterans aged ≥55 with incident late-life TBI between October 1, 1999, and September 31, 2021, were matched 1:3 on age and TBI date to 42 678 veterans without TBI. DESIGN Retrospective cohort study. MAIN MEASURES PTSD, depression, and alcohol and substance use disorders were identified using diagnostic codes. Participants were censored after the first diagnosis during the year before and the year after the TBI or matched date. Prevalence rates of PTSD, depression, alcohol, and substance use disorders were compared before and after incident TBI or matched date using Poisson regression. RESULTS Pre-TBI prevalence rates of disorders were higher among those with TBI relative to those without TBI. Pre-TBI PTSD prevalence rates (per 1000 person-years) were 126.3 (95% CI, 120.2-132.4) compared to 21.5 (95% CI, 20.1-22.9) in the non-TBI cohort. In adjusted models, TBI was not associated with an increase in the prevalence of any of the studied disorders. CONCLUSIONS Prevalence rates of depression, PTSD, and alcohol and substance use disorders were 5 to 10 times higher among older veterans before incident TBI. We did not observe an increase in the prevalence of these disorders after incident TBI. Older veterans with these disorders may be at increased risk for TBI.
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Affiliation(s)
- Jennifer S Albrecht
- Author Affiliations: Department of Epidemiology and Public Health (Dr Albrecht), University of Maryland School of Medicine, Baltimore, Maryland; Joseph Sagol Neuroscience Center (Dr Gardner), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; San Francisco Veterans Affairs Medical Center (Ms Xia and Dr Yaffe), San Francisco, California; Department of Psychiatry (Drs Bahorik and Yaffe), Department of Epidemiology & Biostatistics (Dr Yaffe), Department of Neurology (Dr Yaffe) , University of California San Francisco, San Francisco, California; and Northern California Institute for Research and Education (Ms Xia), San Francisco, California
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Dehbozorgi M, Maghsoudi MR, Mohammadi I, Firouzabadi SR, Mohammaditabar M, Oraee S, Aarabi A, Goodarzi M, Shafiee A, Bakhtiyari M. Incidence of anxiety after traumatic brain injury: a systematic review and meta-analysis. BMC Neurol 2024; 24:293. [PMID: 39174923 PMCID: PMC11340054 DOI: 10.1186/s12883-024-03791-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 08/01/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND Traumatic brain injury (TBI) is defined as acquired cerebral damage caused by an external mechanical impact, which has the potential to lead to transient or enduring debilitation. TBI is associated with many forms of long-lasting psychiatric conditions, including anxiety disorders. As anxiety is highly debilitating by causing impaired social functioning and decreased quality of life for the afflicted, especially in the form of anxiety disorders such as generalized anxiety disorder, certain efforts have been made to explore the factors associated with it, and one such factor is TBI. METHODS We searched PubMed, Scopus, and Web of Science on January 26th, 2024 for observational case-control or cohort or cross-sectional studies assessing the incidence of anxiety symptoms or disorders in patients with TBI compared to healthy individuals or the same individuals if pre-TBI information regarding anxiety was available. We calculated the pooled incidence and relative risk (RR) and 95% confidence interval (95CI) using the inverse variance method. Publication bias was assessed using Eggers's regression test. Quality assessment was performed using the Newcastle-Ottawa scale. Sub-group analyses were conducted for the type of anxiety (anxiety disorder vs anxiety symptoms), TBI severity, and type of anxiety disorders. RESULTS The incidence rate of anxiety after traumatic brain injury was 17.45% (95CI: 12.59%, 22.31%) in a total of 705,024 individuals. Moreover, TBI patients were found to be 1.9 times as likely to have anxiety compared to their non-TBI counterparts [Random effects model RR = 1.90 [1.62; 2.23], p-value < 0.0001] using a population of 569,875 TBI cases and 1,640,312 non-TBI controls. Sub-group analysis revealed TBI severity was not associated with anxiety and generalized anxiety disorder was the most common type of anxiety disorder reported post-TBI. CONCLUSION Patients who have experienced a TBI exhibit a significantly greater incidence of anxiety symptoms and anxiety disorders in the aftermath when compared to healthy individuals.
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Affiliation(s)
| | - Mohammad Reza Maghsoudi
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
- Student Research Committee, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
| | - Ida Mohammadi
- Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Mahdi Mohammaditabar
- Student Research Committee, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
| | - Soroush Oraee
- Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Aryan Aarabi
- Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mana Goodarzi
- Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arman Shafiee
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
- Student Research Committee, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.
- Alborz University of Medical Sciences, Karaj, Iran.
| | - Mahmood Bakhtiyari
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
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Mata-Bermudez A, Trejo-Chávez R, Martínez-Vargas M, Pérez-Arredondo A, Martínez-Cardenas MDLÁ, Diaz-Ruiz A, Rios C, Navarro L. Dysregulation of the dopaminergic system secondary to traumatic brain injury: implications for mood and anxiety disorders. Front Neurosci 2024; 18:1447688. [PMID: 39176379 PMCID: PMC11338874 DOI: 10.3389/fnins.2024.1447688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 07/29/2024] [Indexed: 08/24/2024] Open
Abstract
Traumatic brain injury (TBI) represents a public health issue with a high mortality rate and severe neurological and psychiatric consequences. Mood and anxiety disorders are some of the most frequently reported. Primary and secondary damage can cause a loss of neurons and glial cells, leading to dysfunction of neuronal circuits, which can induce imbalances in many neurotransmitter systems. Monoaminergic systems, especially the dopaminergic system, are some of the most involved in the pathogenesis of neuropsychiatric and cognitive symptoms after TBI. In this work, we summarize the studies carried out in patients who have suffered TBI and describe alterations in the dopaminergic system, highlighting (1) dysfunction of the dopaminergic neuronal circuits caused by TBI, where modifications are shown in the dopamine transporter (DAT) and alterations in the expression of dopamine receptor 2 (D2R) in brain areas with dopaminergic innervation, thus establishing a hypodopaminergic state and (2) variations in the concentration of dopamine and its metabolites in biological fluids of post-TBI patients, such as elevated dopamine (DA) and alterations in homovanillic acid (HVA). On the other hand, we show a large number of reports of alterations in the dopaminergic system after a TBI in animal models, in which modifications in the levels of DA, DAT, and HVA have been reported, as well as alterations in the expression of tyrosine hydroxylase (TH). We also describe the biological pathways, neuronal circuits, and molecular mechanisms potentially involved in mood and anxiety disorders that occur after TBI and are associated with alterations of the dopaminergic system in clinical studies and animal models. We describe the changes that occur in the clinical picture of post-TBI patients, such as alterations in mood and anxiety associated with DAT activity in the striatum, the relationship between post-TBI major depressive disorders (MDD) with lower availability of the DA receptors D2R and D3R in the caudate and thalamus, as well as a decrease in the volume of the substantia nigra (SN) associated with anxiety symptoms. With these findings, we discuss the possible relationship between the disorders caused by alterations in the dopaminergic system in patients with TBI.
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Affiliation(s)
- Alfonso Mata-Bermudez
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Ricardo Trejo-Chávez
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
- Doctorado en Ciencias Biomedicas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Marina Martínez-Vargas
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Adán Pérez-Arredondo
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | | | - Araceli Diaz-Ruiz
- Departamento de Neuroquímica, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Ciudad de México, Mexico
| | - Camilo Rios
- Laboratorio de Neurofarmacología Molecular, Departamento de Sistemas Biológicos, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México, Mexico
- Dirección de Investigación, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra, Ciudad de México, Mexico
| | - Luz Navarro
- Departamento de Fisiología Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
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Carmichael J, Ponsford J, Gould KR, Spitz G. Characterizing depression after traumatic brain injury using a symptom-oriented approach. J Affect Disord 2024; 345:455-466. [PMID: 37879410 DOI: 10.1016/j.jad.2023.10.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Progress in addressing depression after traumatic brain injury (TBI) has been limited. Traditional approaches to measuring depression classify individuals with diverse symptoms as having the same problem. We adopted a novel, symptom-oriented approach to characterize post-TBI depression, emphasizing specific symptoms rather than the number of symptoms. METHODS We assessed depressive symptoms cross-sectionally in 393 participants with moderate-severe TBI (range 0.4-35.4 years post-injury; M = 12.6) using the Inventory of Depression and Anxiety Symptoms - Expanded Version (IDAS-II). We analyzed symptoms of DSM-5 major depressive disorder (MDD), separating compound symptoms into sub-symptoms. We quantified depression heterogeneity across 16 specific symptoms and explored associations between each symptom and personal, injury-related, treatment, and functional/psychosocial outcome factors. RESULTS 28 % of participants self-reported a current depression diagnosis, and 35 % met DSM-5 symptom criteria for MDD. Depressed participants (according to either self-reported diagnosis or MDD symptom criteria) were more likely to endorse each specific depressive symptom, including those that overlap with TBI. Post-TBI depression was highly heterogeneous, with 84-91 % of depressed participants (depending on classification method) showing a unique symptom profile not shared with any other individual. The most common symptom profile was shared by only three individuals. This heterogeneity was meaningful, as specific depressive symptoms had distinct associations with personal, injury-related, treatment, and outcome factors. LIMITATIONS Cross-sectional design. We only analyzed DSM-5 MDD symptoms, and some symptoms were assessed using only one item. CONCLUSIONS A symptom-oriented approach to post-TBI depression captures the individual's unique profile of depressive symptoms, which relate differently to outcomes and other factors. We recommend future studies investigating post-TBI depression analyze specific symptoms alongside overall depression scores.
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Affiliation(s)
- Jai Carmichael
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia; Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia.
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia; Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia
| | - Kate Rachel Gould
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia; Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia
| | - Gershon Spitz
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia; Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia; Department of Neuroscience, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
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6
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Li AD, Loi SM, Velakoulis D, Walterfang M. Mania Following Traumatic Brain Injury: A Systematic Review. J Neuropsychiatry Clin Neurosci 2023; 35:341-351. [PMID: 37021383 DOI: 10.1176/appi.neuropsych.20220105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
OBJECTIVE Traumatic brain injury (TBI) is a leading cause of mortality and morbidity worldwide. Mania is an uncommon, but debilitating, psychiatric occurrence following TBI. The literature on mania following TBI is largely limited to case reports and case series. In the present review, the investigators describe the clinical, diagnostic, and treatment characteristics of mania following TBI. METHODS A systematic search of MEDLINE, EMBASE, and PsycINFO was conducted for English-language studies published from 1980 to July 15, 2021. The included studies provided the required individual primary data and sufficient information on clinical presentation or treatment of manic symptoms. Studies with patients who reported a history of mania or bipolar disorder prior to TBI and studies with patients who sustained TBI before adulthood were excluded. RESULTS Forty-one studies were included, which reported information for 50 patients (the mean±SD age at mania onset was 39.1±14.3 years). Patients were more frequently male, aged <50 years, and without a personal or family history of psychiatric disorders. Although 74% of patients reported mania developing within 1 year following TBI, latencies of up to 31 years were observed. Illness trajectory varied from a single manic episode to recurrent mood episodes. Rapid cycling was reported in six patients. Mood stabilizers and antipsychotics were most frequently used to improve symptoms. CONCLUSIONS Heterogeneity of lesion locations and coexisting vulnerabilities make causality difficult to establish. Valproate or a second-generation antipsychotic, such as olanzapine or quetiapine, may be considered first-line therapy in the absence of high-level evidence for a more preferred treatment. Early escalation to combined therapy (mood stabilizer and second-generation antipsychotic) is recommended to control symptoms and prevent recurrence. Larger prospective studies and randomized controlled trials are needed to refine diagnostic criteria and provide definitive treatment recommendations.
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Affiliation(s)
- Anna D Li
- Melbourne Medical School (Li) and Department of Psychiatry (Loi, Velakoulis, Walterfang), University of Melbourne, Parkville, Australia; Department of Neuropsychiatry, Royal Melbourne Hospital, Parkville (all authors); Florey Institute for Neuroscience and Mental Health, Parkville (Walterfang)
| | - Samantha M Loi
- Melbourne Medical School (Li) and Department of Psychiatry (Loi, Velakoulis, Walterfang), University of Melbourne, Parkville, Australia; Department of Neuropsychiatry, Royal Melbourne Hospital, Parkville (all authors); Florey Institute for Neuroscience and Mental Health, Parkville (Walterfang)
| | - Dennis Velakoulis
- Melbourne Medical School (Li) and Department of Psychiatry (Loi, Velakoulis, Walterfang), University of Melbourne, Parkville, Australia; Department of Neuropsychiatry, Royal Melbourne Hospital, Parkville (all authors); Florey Institute for Neuroscience and Mental Health, Parkville (Walterfang)
| | - Mark Walterfang
- Melbourne Medical School (Li) and Department of Psychiatry (Loi, Velakoulis, Walterfang), University of Melbourne, Parkville, Australia; Department of Neuropsychiatry, Royal Melbourne Hospital, Parkville (all authors); Florey Institute for Neuroscience and Mental Health, Parkville (Walterfang)
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Stein MB, Jain S, Parodi L, Choi KW, Maihofer AX, Nelson LD, Mukherjee P, Sun X, He F, Okonkwo DO, Giacino JT, Korley FK, Vassar MJ, Robertson CS, McCrea MA, Temkin N, Markowitz AJ, Diaz-Arrastia R, Rosand J, Manley GT, Duhaime AC, Ferguson AR, Gopinath S, Grandhi R, Madden C, Merchant R, Schnyer D, Taylor SR, Yue JK, Zafonte R. Polygenic risk for mental disorders as predictors of posttraumatic stress disorder after mild traumatic brain injury. Transl Psychiatry 2023; 13:24. [PMID: 36693822 PMCID: PMC9873804 DOI: 10.1038/s41398-023-02313-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/26/2023] Open
Abstract
Many patients with mild traumatic brain injury (mTBI) are at risk for mental health problems such as posttraumatic stress disorder (PTSD). The objective of this study was to determine whether the polygenic risk for PTSD (or for related mental health disorders or traits including major depressive disorder [MDD] and neuroticism [NEU]) was associated with an increased likelihood of PTSD in the aftermath of mTBI. We used data from individuals of European ancestry with mTBI enrolled in TRACK-TBI (n = 714), a prospective longitudinal study of level 1 trauma center patients. One hundred and sixteen mTBI patients (16.3%) had probable PTSD (PCL-5 score ≥33) at 6 months post-injury. We used summary statistics from recent GWAS studies of PTSD, MDD, and NEU to generate polygenic risk scores (PRS) for individuals in our sample. A multivariable model that included age, sex, pre-injury history of mental disorder, and cause of injury explained 7% of the variance in the PTSD outcome; the addition of the PTSD-PRS (and five ancestral principal components) significantly increased the variance explained to 11%. The adjusted odds of PTSD in the uppermost PTSD-PRS quintile was nearly four times higher (aOR = 3.71, 95% CI 1.80-7.65) than in the lowest PTSD-PRS quintile. There was no evidence of a statistically significant interaction between PTSD-PRS and prior history of mental disorder, indicating that PTSD-PRS had similar predictive utility among those with and without pre-injury psychiatric illness. When added to the model, neither MDD-PRS nor NEU-PRS were significantly associated with the PTSD outcome. These findings show that the risk for PTSD in the context of mTBI is, in part, genetically influenced. They also raise the possibility that an individual's PRS could be clinically actionable if used-possibly with other non-genetic predictors-to signal the need for enhanced follow-up and early intervention; this precision medicine approach needs to be prospectively studied.
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Affiliation(s)
- Murray B. Stein
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA ,grid.266100.30000 0001 2107 4242School of Public Health, University of California, San Diego, La Jolla, CA USA ,grid.410371.00000 0004 0419 2708VA San Diego Healthcare System, San Diego, CA USA
| | - Sonia Jain
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - Livia Parodi
- grid.32224.350000 0004 0386 9924Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.32224.350000 0004 0386 9924McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Karmel W. Choi
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Adam X. Maihofer
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA
| | - Lindsay D. Nelson
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Pratik Mukherjee
- grid.266102.10000 0001 2297 6811Department of Radiology & Biomedical Imaging, UCSF, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Bioengineering & Therapeutic Sciences, UCSF, San Francisco, CA USA
| | - Xiaoying Sun
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - Feng He
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - David O. Okonkwo
- grid.412689.00000 0001 0650 7433Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Joseph T. Giacino
- grid.38142.3c000000041936754XDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA USA ,grid.416228.b0000 0004 0451 8771Spaulding Rehabilitation Hospital, Charlestown, MA USA
| | - Frederick K. Korley
- grid.214458.e0000000086837370Department of Emergency Medicine, University of Michigan, Ann Arbor, MI USA
| | - Mary J. Vassar
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Claudia S. Robertson
- grid.39382.330000 0001 2160 926XDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX USA
| | - Michael A. McCrea
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Nancy Temkin
- grid.34477.330000000122986657Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, WA USA
| | - Amy J. Markowitz
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA
| | - Ramon Diaz-Arrastia
- grid.25879.310000 0004 1936 8972Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
| | - Jonathan Rosand
- grid.32224.350000 0004 0386 9924Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.32224.350000 0004 0386 9924McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Geoffrey T. Manley
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
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Kim SY, Soumoff AA, Raiciulescu S, Kemezis PA, Spinks EA, Brody DL, Capaldi VF, Ursano RJ, Benedek DM, Choi KH. Association of Traumatic Brain Injury Severity and Self-Reported Neuropsychiatric Symptoms in Wounded Military Service Members. Neurotrauma Rep 2023; 4:14-24. [PMID: 36726873 PMCID: PMC9886188 DOI: 10.1089/neur.2022.0063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
The impact of traumatic brain injury (TBI) severity and loss of consciousness (LOC) on the development of neuropsychiatric symptoms was studied in injured service members (SMs; n = 1278) evacuated from combat settings between 2003 and 2012. TBI diagnoses of mild TBI (mTBI) or moderate-to-severe TBI (MS-TBI) along with LOC status were identified using International Classification of Diseases, Ninth Revision (ICD-9) codes and the Defense and Veterans Brain Injury Center Standard Surveillance Case Definition for TBI. Self-reported psychiatric symptoms were evaluated for post-traumatic stress disorder (PTSD) with the PTSD Checklist, Civilian Version for PTSD, the Patient Health Questionnaire-9 for major depressive disorder (MDD), and the Patient Health Questionnaire-15 for somatic symptom disorder (SSD) in two time periods post-injury: Assessment Period 1 (AP1, 0.0-2.5 months) and Assessment Period 2 (AP2, 3-12 months). mTBI, but not MS-TBI, was associated with increased neuropsychiatric symptoms: PTSD in AP1 and AP2; MDD in AP1; and SSD in AP2. A subgroup analysis of mTBI with and without LOC revealed that mTBI with LOC, but not mTBI without LOC, was associated with increased symptoms as compared to non-TBI: PTSD in AP1 and AP2; MDD in AP1; and SSD in AP1 and AP2. Moreover, mTBI with LOC was associated with increased MDD symptoms in AP2, and SSD symptoms in AP1 and AP2, compared to mTBI without LOC. These findings reinforce the need for the accurate characterization of TBI severity and a multi-disciplinary approach to address the devastating impacts of TBI in injured SMs.
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Affiliation(s)
- Sharon Y. Kim
- Program in Neuroscience, Uniformed Services University, Bethesda, Maryland, USA
| | - Alyssa A. Soumoff
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland, USA.,Behavioral Health Directorate, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Sorana Raiciulescu
- Department of Preventive Medicine and Biostatistics, Biostatistics Consulting Center, Uniformed Services University, Bethesda, Maryland, USA
| | - Patricia A. Kemezis
- Behavioral Health Directorate, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Elizabeth A. Spinks
- Behavioral Health Directorate, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - David L. Brody
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, Maryland, USA.,Department of Neurology, Uniformed Services University, Bethesda, Maryland, USA
| | - Vincent F. Capaldi
- Program in Neuroscience, Uniformed Services University, Bethesda, Maryland, USA.,Department of Psychiatry, Uniformed Services University, Bethesda, Maryland, USA.,Center for the Study of Traumatic Stress, Uniformed Services University, Bethesda, Maryland, USA
| | - Robert J. Ursano
- Program in Neuroscience, Uniformed Services University, Bethesda, Maryland, USA.,Department of Psychiatry, Uniformed Services University, Bethesda, Maryland, USA.,Center for the Study of Traumatic Stress, Uniformed Services University, Bethesda, Maryland, USA
| | - David M. Benedek
- Program in Neuroscience, Uniformed Services University, Bethesda, Maryland, USA.,Department of Psychiatry, Uniformed Services University, Bethesda, Maryland, USA.,Center for the Study of Traumatic Stress, Uniformed Services University, Bethesda, Maryland, USA
| | - Kwang H. Choi
- Program in Neuroscience, Uniformed Services University, Bethesda, Maryland, USA.,Department of Psychiatry, Uniformed Services University, Bethesda, Maryland, USA.,Center for the Study of Traumatic Stress, Uniformed Services University, Bethesda, Maryland, USA.,Address correspondence to: Kwang H. Choi, PhD, Department of Psychiatry, Uniformed Services University, 4301 Jones Bridge Road, Bethesda, MD 20814, USA.
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9
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Kulbe JR, Jain S, Nelson LD, Korley FK, Mukherjee P, Sun X, Okonkwo DO, Giacino JT, Vassar MJ, Robertson CS, McCrea MA, Wang KKW, Temkin N, Mac Donald CL, Taylor SR, Ferguson AR, Markowitz AJ, Diaz-Arrastia R, Manley GT, Stein MB. Association of day-of-injury plasma glial fibrillary acidic protein concentration and six-month posttraumatic stress disorder in patients with mild traumatic brain injury. Neuropsychopharmacology 2022; 47:2300-2308. [PMID: 35717463 PMCID: PMC9630517 DOI: 10.1038/s41386-022-01359-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/16/2022] [Accepted: 05/31/2022] [Indexed: 11/10/2022]
Abstract
Several proteins have proven useful as blood-based biomarkers to assist in evaluation and management of traumatic brain injury (TBI). The objective of this study was to determine whether two day-of-injury blood-based biomarkers are predictive of posttraumatic stress disorder (PTSD). We used data from 1143 individuals with mild TBI (mTBI; defined as admission Glasgow Coma Scale [GCS] score 13-15) enrolled in TRACK-TBI, a prospective longitudinal study of level 1 trauma center patients. Plasma glial fibrillary acidic protein (GFAP) and serum high sensitivity C-reactive protein (hsCRP) were measured from blood collected within 24 h of injury. Two hundred and twenty-seven (19.9% of) patients had probable PTSD (PCL-5 score ≥ 33) at 6 months post-injury. GFAP levels were positively associated (Spearman's rho = 0.35, p < 0.001) with duration of posttraumatic amnesia (PTA). There was an inverse association between PTSD and (log)GFAP (adjusted OR = 0.85, 95% CI 0.77-0.95 per log unit increase) levels, but no significant association with (log)hsCRP (adjusted OR = 1.11, 95% CI 0.98-1.25 per log unit increase) levels. Elevated day-of-injury plasma GFAP, a biomarker of glial reactivity, is associated with reduced risk of PTSD after mTBI. This finding merits replication and additional studies to determine a possible neurocognitive basis for this relationship.
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Affiliation(s)
- Jacqueline R. Kulbe
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA
| | - Sonia Jain
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - Lindsay D. Nelson
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Frederick K. Korley
- grid.214458.e0000000086837370Department of Emergency Medicine, University of Michigan, Ann Arbor, MI USA
| | - Pratik Mukherjee
- grid.266102.10000 0001 2297 6811Department of Radiology & Biomedical Imaging, UCSF, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Bioengineering & Therapeutic Sciences, UCSF, San Francisco, CA USA
| | - Xiaoying Sun
- grid.266100.30000 0001 2107 4242Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA USA
| | - David O. Okonkwo
- grid.412689.00000 0001 0650 7433Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Joseph T. Giacino
- grid.38142.3c000000041936754XDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA USA ,grid.416228.b0000 0004 0451 8771Spaulding Rehabilitation Hospital, Charlestown, MA USA
| | - Mary J. Vassar
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Claudia S. Robertson
- grid.39382.330000 0001 2160 926XDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX USA
| | - Michael A. McCrea
- grid.30760.320000 0001 2111 8460Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI USA
| | - Kevin K. W. Wang
- grid.15276.370000 0004 1936 8091Department of Emergency Medicine, University of Florida, Gainesville, FL USA
| | - Nancy Temkin
- grid.34477.330000000122986657Department of Neurological Surgery, University of Washington, Seattle, WA USA
| | - Christine L. Mac Donald
- grid.34477.330000000122986657Department of Neurological Surgery, University of Washington, Seattle, WA USA
| | - Sabrina R. Taylor
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Adam R. Ferguson
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA
| | - Amy J. Markowitz
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA
| | - Ramon Diaz-Arrastia
- grid.25879.310000 0004 1936 8972Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
| | - Geoffrey T. Manley
- grid.416732.50000 0001 2348 2960Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Neurological Surgery, UCSF, San Francisco, CA USA
| | - Murray B. Stein
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, San Diego, La Jolla, CA USA ,grid.266100.30000 0001 2107 4242School of Public Health, University of California, San Diego, La Jolla, CA USA ,grid.410371.00000 0004 0419 2708VA San Diego Healthcare System, San Diego, CA USA
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10
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Feiger JA, Snyder RL, Walsh MJ, Cissne M, Cwiek A, Al-Momani SI, Chiou KS. The Role of Neuroinflammation in Neuropsychiatric Disorders Following Traumatic Brain Injury: A Systematic Review. J Head Trauma Rehabil 2022; 37:E370-E382. [PMID: 35125427 DOI: 10.1097/htr.0000000000000754] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms are common following traumatic brain injury (TBI), but their etiological onset remains unclear. Mental health research implicates neuroinflammation in the development of psychiatric disorders. The presence of neuroinflammatory responses after TBI thus prompts an investigation of their involvement in the emergence of neuropsychiatric disorders postinjury. OBJECTIVE Review the literature surrounding the role of neuroinflammation and immune response post-TBI in the development of neuropsychiatric disorders. METHODS A search of scientific databases was conducted for original, empirical studies in human subjects. Key words such as "neuroinflammation," "TBI," and "depression" were used to identify psychopathology as an outcome TBI and the relation to neuroinflammatory response. RESULTS Study results provide evidence of neuroinflammation mediated post-TBI neuropsychiatric disorders including anxiety, trauma/stress, and depression. Inflammatory processes and stress response dysregulation can lead to secondary cell damage, which promote the development and maintenance of neuropsychiatric disorders postinjury. CONCLUSION This review identifies both theoretical and empirical support for neuroinflammatory response as feasible mechanisms underlying neuropsychiatric disorders after TBI. Further understanding of these processes in this context has significant clinical implications for guiding the development of novel treatments to reduce psychiatric symptoms postinjury. Future directions to address current limitations in the literature are discussed.
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Affiliation(s)
- Jeremy A Feiger
- Department of Psychology, University of Nebraska-Lincoln (Messrs Feiger and Walsh, Mss Snyder and Al-Momani, and Dr Chiou); Department of Psychology, University of Missouri-Columbia (Ms Cissne); and Department of Psychology, Penn State University, State College, Pennsylvania (Mr Cwiek)
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11
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Howlett JR, Nelson LD, Stein MB. Mental Health Consequences of Traumatic Brain Injury. Biol Psychiatry 2022; 91:413-420. [PMID: 34893317 PMCID: PMC8849136 DOI: 10.1016/j.biopsych.2021.09.024] [Citation(s) in RCA: 133] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/21/2021] [Accepted: 09/27/2021] [Indexed: 01/04/2023]
Abstract
Traumatic brain injury (TBI) is associated with a host of psychiatric and neurobehavioral problems. As mortality rates have declined for severe TBI, attention has turned to the cognitive, affective, and behavioral sequelae of injuries across the severity spectrum, which are often more disabling than residual physical effects. Moderate and severe TBI can cause personality changes including impulsivity, severe irritability, affective instability, and apathy. Mild TBI, once considered a largely benign phenomenon, is now known to be associated with a range of affective symptoms, with suicidality, and with worsening or new onset of several psychiatric disorders including posttraumatic stress disorder and major depressive disorder. Repetitive head impacts, often in athletic contexts, are now believed to be associated with a number of emotional and behavioral sequelae. The nature and etiology of mental health manifestations of TBI (including a combination of brain dysfunction and psychological trauma and interrelationships between cognitive, affective, and physical symptoms) are complex and have been a focus of recent epidemiological and mechanistic studies. This paper will review the epidemiology of psychiatric and neurobehavioral problems after TBI in military, civilian, and athletic contexts.
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Affiliation(s)
- Jonathon R Howlett
- VA San Diego Healthcare System, San Diego, La Jolla, California; Department of Psychiatry, University of California San Diego, La Jolla, California.
| | - Lindsay D Nelson
- Department of Neurosurgery & Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Murray B Stein
- VA San Diego Healthcare System, San Diego, La Jolla, California; Department of Psychiatry, University of California San Diego, La Jolla, California; School of Public Health, University of California San Diego, La Jolla, California
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12
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Hypertonic Saline Treatment in Traumatic Brain Injury: A Systematic Review. World Neurosurg 2022; 162:98-110. [DOI: 10.1016/j.wneu.2022.03.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/13/2022] [Accepted: 03/14/2022] [Indexed: 11/17/2022]
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13
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Dell KC, Grossner EC, Staph J, Schatz P, Hillary FG. A Population-Based Study of Pre-Existing Health Conditions in Traumatic Brain Injury. Neurotrauma Rep 2021; 2:255-269. [PMID: 34223556 PMCID: PMC8244518 DOI: 10.1089/neur.2020.0065] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Health factors impacting both the occurrence of, and recovery from traumatic brain injury (TBI) vary in complexity, and present genuine challenges to researchers and healthcare professionals seeking to characterize injury consequences and determine prognosis. However, attempts to clarify causal links between injury characteristics and clinical outcomes (including mortality) often compel researchers to exclude pre-existing health conditions (PECs) in their samples, including psychiatric history, medication usage, and other comorbid conditions. In this pre-registered population-based study (total starting n = 939,123 patients), we examined trends in PEC incidence over 22 years in the state of Pennsylvania (1997-2019) in individuals sustaining TBI (n = 169,452) and individuals with orthopedic injury (n = 87,637). The goal was to determine how PECs interact with age and injury severity to influence short-term outcomes. A further goal was to determine whether number of PECs, or specific PEC clusters contributed to worse outcomes within the TBI cohort, compared with orthopedic injury alone. Primary findings indicate that PECs significantly influenced mortality within the TBI cohort; patients having four or more PECs were associated with approximately a two times greater likelihood of dying in acute care (odds ratio [OR] 1.9). Additionally, cluster analyses revealed four distinct PEC clusters that are age and TBI severity dependent. Overall, the likelihood of zero PECs hovers at ∼25%, which is critical to consider in TBI outcomes work and could potentially contribute to the challenges facing intervention science with regard to reproducibility of findings.
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Affiliation(s)
- Kristine C Dell
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA.,Social and Life and Engineering Sciences Imaging Center, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Emily C Grossner
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA.,Social and Life and Engineering Sciences Imaging Center, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Jason Staph
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Philip Schatz
- Department of Psychology, Saint Joseph's University, Philadelphia, Pennsylvania, USA
| | - Frank G Hillary
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA.,Social and Life and Engineering Sciences Imaging Center, The Pennsylvania State University, University Park, Pennsylvania, USA.,Department of Neurology, Hershey Medical Center, Hershey, Pennsylvania, USA
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14
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Zou J, Sun H, Xiang Y. Correlation of serum cystatin C with inflammatory cytokines in patients with traumatic brain injury. Synapse 2021; 75:e22201. [PMID: 33797795 DOI: 10.1002/syn.22201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/19/2021] [Indexed: 11/09/2022]
Abstract
Traumatic brain injury (TBI) is a world-wide leading health problem with high morbidity and mortality rates. Emerging studies have demonstrated that TBI is the consequence of a series of inflammatory responses in the body. The alteration of Cystatin C (Cys C) was reported in a variety of chronic inflammatory diseases and was also recommended as a biomarker for predicting renal diseases. In this study, we aimed to investigate the relationship between serum Cys C and TBI, and to evaluate the prognostic role of Cys C in TBI prediction. One hundred and seventy-six patients with TBI were recruited and 102 patients were finally analyzed, with 30 healthy control subjects. The concentrations of Cys C were significantly reduced in the healthy control group compared to the TBI group, and correlated with high GCS scores. The levels of hsCRP, counts of white blood cells, and levels of IL-6 and TNF-α were remarkably elevated in the TBI patients compared with the control group in a severity-dependent manner. Moreover, the concentration of Cys C was negatively correlated with TBI severity and positively correlated with inflammatory factors. In conclusion, serum Cys is an inflammatory cytokine-related factor and might indicate the severity of TBI thus serving as a prognostic biomarker.
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Affiliation(s)
- Jingrong Zou
- Department of Emergency, Wuxi Huishan District People's Hospital, Wuxi, China
| | - Haitao Sun
- Department of Emergency, Wuxi Huishan District People's Hospital, Wuxi, China
| | - Yang Xiang
- Department of Emergency, Wuxi Huishan District People's Hospital, Wuxi, China
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15
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Stein MB, Yuh E, Jain S, Okonkwo DO, Mac Donald CL, Levin H, Giacino JT, Dikmen S, Vassar MJ, Diaz-Arrastia R, Robertson CS, Nelson LD, McCrea M, Sun X, Temkin N, Taylor SR, Markowitz AJ, Manley GT, Mukherjee P. Smaller Regional Brain Volumes Predict Posttraumatic Stress Disorder at 3 Months After Mild Traumatic Brain Injury. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:352-359. [PMID: 33386283 PMCID: PMC7946719 DOI: 10.1016/j.bpsc.2020.10.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/10/2020] [Accepted: 10/13/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND Brain volumes in regions such as the hippocampus and amygdala have been associated with risk for the development of posttraumatic stress disorder (PTSD). The objective of this study was to determine whether a set of regional brain volumes, measured by magnetic resonance imaging at 2 weeks following mild traumatic brain injury, were predictive of PTSD at 3 and 6 months after injury. METHODS Using data from TRACK-TBI (Transforming Research and Clinical Knowledge in TBI), we included patients (N = 421) with Glasgow Coma Scale scores 13-15 assessed after evaluation in the emergency department and at 2 weeks, 3 months, and 6 months after injury. Probable PTSD diagnosis (PTSD Checklist for DSM-5 score, ≥33) was the outcome. FreeSurfer 6.0 was used to perform volumetric analysis of three-dimensional T1-weighted magnetic resonance images at 3T obtained 2 weeks post injury. Brain regions selected a priori for volumetric analyses were insula, hippocampus, amygdala, superior frontal cortex, rostral and caudal anterior cingulate, and lateral and medial orbitofrontal cortices. RESULTS Overall, 77 (18.3%) and 70 (16.6%) patients had probable PTSD at 3 and 6 months. A composite volume derived as the first principal component incorporating 73.8% of the variance in insula, superior frontal cortex, and rostral and caudal cingulate contributed to the prediction of 3-month (but not 6-month) PTSD in multivariable models incorporating other established risk factors. CONCLUSIONS Results, while needing replication, provide support for a brain reserve hypothesis of PTSD and proof of principle for how prediction of at-risk individuals might be accomplished to enhance prognostic accuracy and enrich clinical prevention trials for individuals at the highest risk of PTSD following mild traumatic brain injury.
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Affiliation(s)
- Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, California; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California; VA San Diego Healthcare System, San Diego, California.
| | - Esther Yuh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California
| | - Sonia Jain
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | - Harvey Levin
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts; Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
| | - Sureyya Dikmen
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Mary J Vassar
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California; Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Michael McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Xiaoying Sun
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California
| | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Sabrina R Taylor
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California; Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Amy J Markowitz
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California.
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California; Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California
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