scholarly journals Systemic Inflammation Alters The Neuroinflammatory Response: A Prospective Clinical Trial In Traumatic Brain Injury

2021 ◽  
Author(s):  
Philipp Lassarén ◽  
Caroline Lindblad ◽  
Arvid Frostell ◽  
Keri LH Carpenter ◽  
Mathew R Guilfoyle ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Information Content ◽  
Systemic Inflammation ◽  
Injury Severity ◽  
Extracellular Fluid ◽  
Clinical Infection ◽  
Mixed Effect ◽  
Markers Of Inflammation ◽  
Arterial Blood

Abstract Background: Neuroinflammation following traumatic brain injury (TBI) has been shown to be associated with secondary injury development, however how systemic inflammatory mediators affect this is not fully understood. The aim of this study was to see how systemic inflammation affects markers of neuroinflammation, if this inflammatory response had a temporal correlation between compartments and how different compartments differ in cytokine composition.Methods: TBI patients recruited to a previous randomized controlled trial studying the effects of the drug anakinra (Kineret®), a human recombinant interleukin-1 receptor antagonist (rhIL1ra), were used (n=10 treatment arm, n=10 control arm). Cytokine concentrations were measured in arterial and jugular venous samples twice a day, as well as in microdialysis-extracted brain extracellular fluid (ECF) following pooling every 6 hours. C-reactive protein level (CRP), white blood cell count (WBC), temperature and confirmed systemic clinical infection were used as systemic markers of inflammation. Principal component analyses, linear mixed-effect models, cross-correlations and multiple factor analyses were used.Results: Jugular and arterial blood held similar cytokine information content, but brain-ECF was markedly different. No clear arterial to jugular gradient could be seen. No substantial delayed temporal associations between blood and brain compartments were detected. The development of a systemic clinical infection resulted in a significant decrease of IL1-ra, G-CSF, PDGF-ABBB, MIP-1b and RANTES (p<0.05, respectively) in brain-ECF, even if adjusting for injury severity and demographic factors, while an increase in several cytokines could be seen in arterial blood. Conclusions: Systemic inflammation, and infection in particular, alters cytokine levels with different patterns seen in brain and in blood. Cerebral inflammatory monitoring provides independent information from arterial and jugular samples, which both demonstrate similar information content. These findings could present potential new treatment options in severe TBI patients, and stresses the need of adequate monitoring of inflammatory markers.

scholarly journals Systemic inflammation alters the neuroinflammatory response: a prospective clinical trial in traumatic brain injury

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Philipp Lassarén ◽  
Caroline Lindblad ◽  
Arvid Frostell ◽  
Keri L. H. Carpenter ◽  
Mathew R. Guilfoyle ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Information Content ◽  
Systemic Inflammation ◽  
Injury Severity ◽  
Extracellular Fluid ◽  
Clinical Infection ◽  
Mixed Effect ◽  
Markers Of Inflammation ◽  
Arterial Blood

Abstract Background Neuroinflammation following traumatic brain injury (TBI) has been shown to be associated with secondary injury development; however, how systemic inflammatory mediators affect this is not fully understood. The aim of this study was to see how systemic inflammation affects markers of neuroinflammation, if this inflammatory response had a temporal correlation between compartments and how different compartments differ in cytokine composition. Methods TBI patients recruited to a previous randomised controlled trial studying the effects of the drug anakinra (Kineret®), a human recombinant interleukin-1 receptor antagonist (rhIL1ra), were used (n = 10 treatment arm, n = 10 control arm). Cytokine concentrations were measured in arterial and jugular venous samples twice a day, as well as in microdialysis-extracted brain extracellular fluid (ECF) following pooling every 6 h. C-reactive protein level (CRP), white blood cell count (WBC), temperature and confirmed systemic clinical infection were used as systemic markers of inflammation. Principal component analyses, linear mixed-effect models, cross-correlations and multiple factor analyses were used. Results Jugular and arterial blood held similar cytokine information content, but brain-ECF was markedly different. No clear arterial to jugular gradient could be seen. No substantial delayed temporal associations between blood and brain compartments were detected. The development of a systemic clinical infection resulted in a significant decrease of IL1-ra, G-CSF, PDGF-ABBB, MIP-1b and RANTES (p < 0.05, respectively) in brain-ECF, even if adjusting for injury severity and demographic factors, while an increase in several cytokines could be seen in arterial blood. Conclusions Systemic inflammation, and infection in particular, alters cytokine levels with different patterns seen in brain and in blood. Cerebral inflammatory monitoring provides independent information from arterial and jugular samples, which both demonstrate similar information content. These findings could present potential new treatment options in severe TBI patients, but novel prospective trials are warranted to confirm these associations. Graphical abstract

scholarly journals Systemic Inflammation Alters the Neuroinflammatory Response: A Prospective Clinical Trial in Traumatic Brain Injury.

2021 ◽  
Author(s):  
Philipp Lassarén ◽  
Caroline Lindblad ◽  
Arvid Frostell ◽  
Keri LH Carpenter ◽  
Mathew R Guilfoyle ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Inflammatory Response ◽  
Information Content ◽  
Systemic Inflammation ◽  
Clinical Infection ◽  
Mixed Effect ◽  
Markers Of Inflammation ◽  
Arterial Blood ◽  
Cytokine Levels

Abstract Background: Neuroinflammation following traumatic brain injury (TBI) has been shown to be associated with secondary injury development, however how systemic inflammatory mediators affect this is not fully understood. The aim of this study was to see how systemic inflammation affects markers of neuroinflammation, if this inflammatory response had a temporal correlation between compartments and how different compartments differ in cytokine composition.Methods: TBI patients recruited to a previous randomized controlled trial studying the effects of the drug anakinra (Kineret®), a human recombinant interleukin-1 receptor antagonist (rhIL1ra), were used (n=10 treatment arm, n=10 control arm). Cytokine concentrations were measured in arterial and venous samples twice a day, as well as in microdialysis-extracted brain extracellular fluid (ECF) following pooling every 6 hours. C-reactive protein level (CRP), white blood cell count (WBC), temperature and confirmed systemic clinical infection were used as systemic markers of inflammation. Principal component analyses, linear mixed-effect models, cross-correlations and multiple factor analyses were used.Results: The development of a systemic clinical infection results in an altered brain-ECF cytokine response (e.g. increase in G-CSF and decrease in PDGF-ABBB, p<0.05 respectively), even if adjusting for injury severity and demographic factors. rhIL1ra administration had a strong effect on the inflammatory response, independently altering different blood (n=6) and brain cytokine (n=3) levels. No substantial delayed temporal association between blood and brain compartments could be detected. Jugular and arterial blood held similar cytokine information content, but brain-ECF was markedly different. No clear arterial to jugular gradient could be seen.Conclusions: Systemic inflammation, and infection in particular, alters cerebral cytokine levels, and rhIL1ra administration potently affects both systemic and cerebral cytokine levels. Cerebral inflammatory monitoring provides independent information from arterial and jugular samples, which both demonstrate similar information content. These findings could present potential new treatment options in severe TBI patients, and stresses the need of adequate monitoring of inflammatory markers.

scholarly journals Frequency of fatigue and its changes in the first 6 months after traumatic brain injury: results from the CENTER-TBI study

2020 ◽  
Author(s):  
Nada Andelic ◽  
◽  
Cecilie Røe ◽  
Cathrine Brunborg ◽  
Marina Zeldovich ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Sleep Problems ◽  
Care Pathway ◽  
Clinical Care ◽  
Mixed Effect ◽  
Psychiatric Conditions ◽  
Socio Demographic Factors ◽  
Clinical Care Pathway

Abstract Background Fatigue is one of the most commonly reported subjective symptoms following traumatic brain injury (TBI). The aims were to assess frequency of fatigue over the first 6 months after TBI, and examine whether fatigue changes could be predicted by demographic characteristics, injury severity and comorbidities. Methods Patients with acute TBI admitted to 65 trauma centers were enrolled in the study Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI). Subjective fatigue was measured by single item on the Rivermead Post-Concussion Symptoms Questionnaire (RPQ), administered at baseline, three and 6 months postinjury. Patients were categorized by clinical care pathway: admitted to an emergency room (ER), a ward (ADM) or an intensive care unit (ICU). Injury severity, preinjury somatic- and psychiatric conditions, depressive and sleep problems were registered at baseline. For prediction of fatigue changes, descriptive statistics and mixed effect logistic regression analysis are reported. Results Fatigue was experienced by 47% of patients at baseline, 48% at 3 months and 46% at 6 months. Patients admitted to ICU had a higher probability of experiencing fatigue than those in ER and ADM strata. Females and individuals with lower age, higher education, more severe intracranial injury, preinjury somatic and psychiatric conditions, sleep disturbance and feeling depressed postinjury had a higher probability of fatigue. Conclusion A high and stable frequency of fatigue was found during the first 6 months after TBI. Specific socio-demographic factors, comorbidities and injury severity characteristics were predictors of fatigue in this study.

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

2020 ◽  
Vol 132 (6) ◽  
pp. 1952-1960 ◽  
Author(s):  
Seung-Bo Lee ◽  
Hakseung Kim ◽  
Young-Tak Kim ◽  
Frederick A. Zeiler ◽  
Peter Smielewski ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Neurological Status ◽  
Cerebrovascular Reactivity ◽  
Cerebral Hypoperfusion ◽  
Clinical Parameters ◽  
Artifact Removal ◽  
Clinical Events ◽  
Arterial Blood ◽  
Before And After

OBJECTIVEMonitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of patients with traumatic brain injury (TBI). However, these signals are often heavily affected by artifacts, which may significantly reduce the reliability of the clinical determinations derived from the signals. The goal of this work was to eliminate signal artifacts from continuous ICP and ABP monitoring via deep learning techniques and to assess the changes in the prognostic capacities of clinical parameters after artifact elimination.METHODSThe first 24 hours of monitoring ICP and ABP in a total of 309 patients with TBI was retrospectively analyzed. An artifact elimination model for ICP and ABP was constructed via a stacked convolutional autoencoder (SCAE) and convolutional neural network (CNN) with 10-fold cross-validation tests. The prevalence and prognostic capacity of ICP- and ABP-related clinical events were compared before and after artifact elimination.RESULTSThe proposed SCAE-CNN model exhibited reliable accuracy in eliminating ABP and ICP artifacts (net prediction rates of 97% and 94%, respectively). The prevalence of ICP- and ABP-related clinical events (i.e., systemic hypotension, intracranial hypertension, cerebral hypoperfusion, and poor cerebrovascular reactivity) all decreased significantly after artifact removal.CONCLUSIONSThe SCAE-CNN model can be reliably used to eliminate artifacts, which significantly improves the reliability and efficacy of ICP- and ABP-derived clinical parameters for prognostic determinations after TBI.

One-year costs of intensive care in pediatric patients with traumatic brain injury

2021 ◽  
Vol 27 (1) ◽  
pp. 79-86
Author(s):  
Era D. Mikkonen ◽  
Markus B. Skrifvars ◽  
Matti Reinikainen ◽  
Stepani Bendel ◽  
Ruut Laitio ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Intensive Care ◽  
Brain Injury ◽  
Social Security ◽  
Functional Outcome ◽  
Injury Severity ◽  
Pediatric Population ◽  
Favorable Outcome ◽  
Index Hospitalization ◽  
Pediatric Tbi

OBJECTIVETraumatic brain injury (TBI) is a major cause of death and disability in the pediatric population. The authors assessed 1-year costs of intensive care in pediatric TBI patients.METHODSIn this retrospective multicenter cohort study of four academic ICUs in Finland, the authors used the Finnish Intensive Care Consortium database to identify children aged 0–17 years treated for TBI in ICUs between 2003 and 2013. The authors reviewed all patient health records and head CT scans for admission, treatment, and follow-up data. Patient outcomes included functional outcome (favorable outcome defined as a Glasgow Outcome Scale score of 4–5) and death within 6 months. Costs included those for the index hospitalization, rehabilitation, and social security up to 1 year after injury. To assess costs, the authors calculated the effective cost per favorable outcome (ECPFO).RESULTSIn total, 293 patients were included, of whom 61% had moderate to severe TBI (Glasgow Coma Scale [GCS] score 3–12) and 40% were ≥ 13 years of age. Of all patients, 82% had a favorable outcome and 9% died within 6 months of injury. The mean cost per patient was €48,719 ($54,557) (95% CI €41,326–€56,112). The index hospitalization accounted for 66%, rehabilitation costs for 27%, and social security costs for 7% of total healthcare costs. The ECPFO was €59,727 ($66,884) (95% CI €52,335–€67,120). A higher ECPFO was observed among patients with clinical and treatment-related variables indicative of parenchymal swelling and high intracranial pressure. Lower ECPFO was observed among patients with higher admission GCS scores and those who had epidural hematomas.CONCLUSIONSGreater injury severity increases ECPFO and is associated with higher postdischarge costs in pediatric TBI patients. In this pediatric cohort, over two-thirds of all resources were spent on patients with favorable functional outcome, indicating appropriate resource allocation.

scholarly journals Altered speech patterns in subjects with post-traumatic headache due to mild traumatic brain injury

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Catherine D. Chong ◽  
Jianwei Zhang ◽  
Jing Li ◽  
Teresa Wu ◽  
Gina Dumkrieger ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Speech Production ◽  
Mild Traumatic Brain Injury ◽  
Mobile Application ◽  
Speaking Rate ◽  
Mixed Effect ◽  
Effect Model ◽  
Vowel Space ◽  
Post Traumatic

Abstract Background/objective Changes in speech can be detected objectively before and during migraine attacks. The goal of this study was to interrogate whether speech changes can be detected in subjects with post-traumatic headache (PTH) attributed to mild traumatic brain injury (mTBI) and whether there are within-subject changes in speech during headaches compared to the headache-free state. Methods Using a series of speech elicitation tasks uploaded via a mobile application, PTH subjects and healthy controls (HC) provided speech samples once every 3 days, over a period of 12 weeks. The following speech parameters were assessed: vowel space area, vowel articulation precision, consonant articulation precision, average pitch, pitch variance, speaking rate and pause rate. Speech samples of subjects with PTH were compared to HC. To assess speech changes associated with PTH, speech samples of subjects during headache were compared to speech samples when subjects were headache-free. All analyses were conducted using a mixed-effect model design. Results Longitudinal speech samples were collected from nineteen subjects with PTH (mean age = 42.5, SD = 13.7) who were an average of 14 days (SD = 32.2) from their mTBI at the time of enrollment and thirty-one HC (mean age = 38.7, SD = 12.5). Regardless of headache presence or absence, PTH subjects had longer pause rates and reductions in vowel and consonant articulation precision relative to HC. On days when speech was collected during a headache, there were longer pause rates, slower sentence speaking rates and less precise consonant articulation compared to the speech production of HC. During headache, PTH subjects had slower speaking rates yet more precise vowel articulation compared to when they were headache-free. Conclusions Compared to HC, subjects with acute PTH demonstrate altered speech as measured by objective features of speech production. For individuals with PTH, speech production may have been more effortful resulting in slower speaking rates and more precise vowel articulation during headache vs. when they were headache-free, suggesting that speech alterations were related to PTH and not solely due to the underlying mTBI.

scholarly journals The role of salivary vesicles as a potential inflammatory biomarker to detect traumatic brain injury in mixed martial artists

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rani Matuk ◽  
Mandy Pereira ◽  
Janette Baird ◽  
Mark Dooner ◽  
Yan Cheng ◽  
...  
Keyword(s):  
Gene Expression ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Head Injury ◽  
Injury Severity ◽  
Expression Profiles ◽  
High Impact ◽  
Impact Mechanism ◽  
Inflammatory Biomarker ◽  
Potential Biomarker

AbstractTraumatic brain injury (TBI) is of significant concern in the realm of high impact contact sports, including mixed martial arts (MMA). Extracellular vesicles (EVs) travel between the brain and oral cavity and may be isolated from salivary samples as a noninvasive biomarker of TBI. Salivary EVs may highlight acute neurocognitive or neuropathological changes, which may be particularly useful as a biomarker in high impact sports. Pre and post-fight samples of saliva were isolated from 8 MMA fighters and 7 from controls. Real-time PCR of salivary EVs was done using the TaqMan Human Inflammatory array. Gene expression profiles were compared pre-fight to post-fight as well as pre-fight to controls. Largest signals were noted for fighters sustaining a loss by technical knockout (higher impact mechanism of injury) or a full match culminating in referee decision (longer length of fight), while smaller signals were noted for fighters winning by joint or choke submission (lower impact mechanism as well as less time). A correlation was observed between absolute gene information signals and fight related markers of head injury severity. Gene expression was also significantly different in MMA fighters pre-fight compared to controls. Our findings suggest that salivary EVs as a potential biomarker in the acute period following head injury to identify injury severity and can help elucidate pathophysiological processes involved in TBI.

scholarly journals Study of Traumatic Brain Injury Due To Recent Earthquake in Manipal Teaching Hospital

2016 ◽  
Vol 12 (2) ◽  
pp. 63-66
Author(s):  
Bal G Karmacharya ◽  
Brijesh Sathian
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Head Injury ◽  
Teaching Hospital ◽  
Brain Injuries ◽  
Injury Severity ◽  
Traumatic Brain Injuries ◽  
The Body ◽  
Mild Head Injury ◽  
Associated Injuries

The objective of this study was to review the demographics, causes injury, severity, treatment and outcome of traumatic brain injuries in victims of the April 2015 earthquake who were admitted in Manipal Teaching Hospital, Pokhara. A total of 37 patients was admitted under Neurosurgery Services. Collapse of buildings was the commonest cause of head injury. The majority of them had mild head injury. Associated injuries to other parts of the body were present in 40.54% patients.Nepal Journal of Neuroscience 12:63-66, 2015

Self-awareness four years after severe traumatic brain injury: discordance between the patient’s and relative’s complaints. Results from the PariS-TBI study

2017 ◽  
Vol 32 (5) ◽  
pp. 692-704 ◽  
Author(s):  
Camille Chesnel ◽  
Claire Jourdan ◽  
Eleonore Bayen ◽  
Idir Ghout ◽  
Emmanuelle Darnoux ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Significant Relationship ◽  
Injury Severity ◽  
Chronic Phase ◽  
Functional Independence ◽  
Severe Tbi

Objective: To evaluate the patient’s awareness of his or her difficulties in the chronic phase of severe traumatic brain injury (TBI) and to determine the factors related to poor awareness. Design/Setting/Subjects: This study was part of a larger prospective inception cohort study of patients with severe TBI in the Parisian region (PariS-TBI study). Intervention/Main measures: Evaluation was carried out at four years and included the Brain Injury Complaint Questionnaire (BICoQ) completed by the patient and his or her relative as well as the evaluation of impairments, disability and quality of life. Results: A total of 90 patient-relative pairs were included. Lack of awareness was measured using the unawareness index that corresponded to the number of discordant results between the patient and relative in the direction of under evaluation of difficulties by the patient. The only significant relationship found with lack of awareness was the subjective burden perceived by the relative (Zarit Burden Inventory) ( r = 0.5; P < 0.00001). There was no significant relationship between lack of awareness and injury severity, pre-injury socio-demographic data, cognitive impairments, mood disorders, functional independence (Barthel index), global disability (Glasgow Outcome Scale), return to work at four years or quality of life (Quality Of Life after Brain Injury scale (QOLIBRI)). Conclusion: Lack of awareness four years post severe TBI was not related to the severity of the initial trauma, sociodemographic data, the severity of impairments, limitations of activity and participation, or the patient’s quality of life. However, poor awareness did significantly influence the weight of the burden perceived by the relative.

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