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BACKGROUND: The vegetative state (VS) after severe acute brain injury (SABI) is associated with significant prognostic uncertainty and poor long-term functional outcomes. However, it is generally distinguished from imminent death and is exempt from the Life-Sustaining Treatment (LST) Decisions Act in Korea. Here, we aimed to examine the perspectives of the general population (GP) and clinicians regarding decisions on mechanical ventilator withdrawal in patients in a VS after SABI. METHODS: A cross-sectional survey was undertaken, utilizing a self-reported online questionnaire based on a case vignette. Nationally selected by quota sampling, the GP comprised 500 individuals aged 20 to 69 years. There were 200 doctors from a tertiary university hospital in the clinician sample. Participants were asked what they thought about mechanical ventilator withdrawal in patients in VS 2 months and 3 years after SABI. RESULTS: Two months after SABI in the case, 79% of the GP and 83.5% of clinicians had positive attitudes toward mechanical ventilator withdrawal. In the GP, attitudes were associated with spirituality, household income, religion, the number of household members. On the other hand, clinicians' attitudes were related to their experience of completing advance directives (AD) and making decisions about LST. In this case, 3 years after SABI, 92% of the GP and 94% of clinicians were more accepting of ventilator withdrawal compared to previous responses, based on the assumption that the patient had written AD. However, it appeared that the proportion of positive responses to ventilator withdrawal decreased when the patients had only verbal expressions (82% of the GP; 75.5% of clinicians) or had not previously expressed an opinion regarding LST (58% of the GP; 39.5% of clinicians). CONCLUSION: More than three quarters of both the GP and clinicians had positive opinions regarding ventilator withdrawal in patients in a VS after SABI, which was reinforced with time and the presence of AD. Legislative adjustments are needed to ensure that previous wishes for those patients are more respected and reflected in treatment decisions.

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INTRODUCTION: Very preterm babies are at risk of poor neurodevelopmental outcomes and death. Intraventricular haemorrhage (IVH) after birth is the most prevalent cause of this. Birth by caesarean section may protect against IVH in very preterm babies, but the evidence is limited. The aim is to identify and obtain the quantitative evidence needed to inform a future definitive clinical trial to determine the optimal mode of delivery in preterm birth. METHODS AND ANALYSIS: We will use three broad workstreams (WS) to answer complementary questions. WSs 1 and 2 involve the analysis of routinely recorded national clinical data held in an established research database. In WS1 (October 2023-March 2024), we will use conventional methods to identify what is needed to undertake a trial: the population of interest, areas of equipoise and a plausible range of effect sizes. In WS2 (April 2024-October 2024), using an emulated target trial framework, we will attempt to make inferences about the treatment effect from such a future trial and will identify potential challenges in recruitment and estimate likely 'intention-to-treat' versus 'per-protocol' profiles; these analyses will also be useful for power calculations for future possible trials. In WS3 (October 2024-March 2025), we will convene a consensus meeting with key stakeholders, supported by a clinical trials unit, to develop a multicentre clinical trial to identify the optimal mode of birth for preterm deliveries. ETHICS AND DISSEMINATION: In this study, we will use deidentified data held in the National Neonatal Research Database (NNRD), an established national population database; parents can opt out of their baby's data being held in the NNRD. HRA/Health and Care Research Wales and National Health Service (NHS) study-specific Research Ethics Committee approval (London-Queen Square Research Ethics Committee) (Ref: 23/LO/0826) ethical approval has been obtained. Key outputs of the PRECIOUS (PREterm Caesarean/vaginal birth and IVH/OUutcomeS) study include the identification of the data, and accordingly of the multidisciplinary team required, to develop, gain funding and complete, a clinical trial to definitively identify the optimal mode of delivery for preterm infants and their mothers.

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BACKGROUND AND PURPOSE: Boxing is associated with a high risk of head injuries and increases the likelihood of chronic traumatic encephalopathy. This study explores the effects of sub-concussive impacts on boxers by applying both linear and nonlinear analysis methods to electroencephalogram (EEG) data. METHODS: Twenty-one boxers were selected (mean ± SD, age 28.38 ± 5.5 years; weight 67.55 ± 8.90 kg; years of activity 6.76 ± 5.45; education 14.19 ± 3.08 years) and divided into 'beginner' and 'advanced' groups. The Montreal Cognitive Assessment and the Frontal Assessment Battery were administered; EEG data were collected in both eyes-open (EO) and eyes-closed (EC) conditions during resting states. Analyses of EEG data included normalized power spectral density (nPSD), power law exponent (PLE), detrended fluctuation analysis and multiscale entropy. Statistical analyses were used to compare the groups. RESULTS: Significant differences in nPSD and PLE were observed between the beginner and advanced boxers, with advanced boxers showing decreased mean nPSD and PLE (nPSD 4-7 Hz, p = 0.013; 8-13 Hz, p = 0.003; PLE frontal lobe F3 EC, p = 0.010). Multiscale entropy analysis indicated increased entropy at lower frequencies and decreased entropy at higher frequencies in advanced boxers (F3 EC, p = 0.024; occipital lobe O1 EO, p = 0.029; occipital lobe O2 EO, p = 0.036). These changes are similar to those seen in Alzheimer's disease. CONCLUSION: Nonlinear analysis of EEG data shows potential as a neurophysiological biomarker for detecting the asymptomatic phase of chronic traumatic encephalopathy in boxers. This methodology could help monitor athletes' health and reduce the risk of future neurological injuries in sports.

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BACKGROUND: Invasive blood pressure measurement is the in-hospital gold standard to guide hemodynamic management and consecutively cerebral perfusion pressure in patients with traumatic brain injury (TBI). Its prehospital use is controversial since it may delay further care. The primary aim of this study was to test the hypothesis that patients with severe traumatic brain injury who receive prehospital arterial cannulation, compared to those with in-hospital cannulation, do not have a prolonged time between on-scene arrival and first computed tomography (CT) of the head by more than ten minutes. METHODS: This retrospective study included patients 18 years and older with isolated severe TBI and prehospital induction of emergency anaesthesia who received treatment in the resuscitation room of the University Hospital of Graz between January 1st, 2015, and December 31st, 2022. A Wilcoxon rank-sum test was used to test for non-inferiority (margin = ten minutes) of the time interval between on-scene arrival and first head CT. RESULTS: We included data of 181 patients in the final analysis. Prehospital arterial line insertion was performed in 87 patients (48%). Median (25-75th percentile) durations between on-scene arrival and first head CT were 73 (61-92) min for prehospital arterial cannulation and 75 (60-93) min for arterial cannulation in the resuscitation room. Prehospital arterial line insertion was significantly non-inferior within a margin of ten minutes with a median difference of 1 min (95% CI - 6 to 7, p = 0.003). CONCLUSION: Time-interval between on-scene arrival and first head CT in patients with isolated severe traumatic brain injury who received prehospital arterial cannulation was not prolonged compared to those with in-hospital cannulation. This supports early out-of-hospital arterial cannulation performed by experienced providers.

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BACKGROUND: The aim of this study was to develop a consensus-based set of indicators of high-quality acute moderate to severe traumatic brain injury (msTBI) clinical management that can be used to measure structure, process, and outcome factors that are likely to influence patient outcomes. This is the first stage of the PRECISION-TBI program, which is a prospective cohort study that aims to identify and promote optimal clinical management of msTBI in Australia. METHODS: A preliminary set of 45 quality indicators was developed based on available evidence. An advisory committee of established experts in the field refined the initial indicator set in terms of content coverage, proportional representation, contamination, and supporting evidence. The refined indicator set was then distributed to a wider Delphi panel for assessment of each indicator in terms of validity, measurement feasibility, variability, and action feasibility. Inclusion in the final indicator set was contingent on prespecified inclusion scoring. RESULTS: The indicator set was structured according to the care pathway of msTBI and included prehospital, emergency department, neurosurgical, intensive care, and rehabilitation indicators. Measurement domains included structure indicators, logistic indicators, and clinical management indicators. The Delphi panel consisted of 44 participants (84% physician, 12% nursing, and 4% primary research) with a median of 15 years of practice. Of the 47 indicators included in the second round of the Delphi, 32 indicators were approved by the Delphi group. CONCLUSIONS: This study identified a set of 32 quality indicators that can be used to structure data collection to drive quality improvement in the clinical management of msTBI. They will also be used to guide feedback to PRECISION-TBI's participating sites.

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Objective: This study aims to assess the effectiveness of the National Early Warning Score 2 (NEWS2) versus Glasgow Coma Scale (GCS) in predicting hospital mortality among patients with stroke and traumatic brain injury (TBI). Location: This multicenter study was conducted at two anonymized tertiary care hospitals in distinct climatic regions of China, with a combined annual emergency admission exceeding 10,000 patients. Patients: The study included 2,276 adult emergency admissions diagnosed with stroke (n = 1,088) or TBI (n = 1,188) from January 2021 to December 2023, excluding those with chronic pulmonary disease, severe cardiac conditions, or a history of brain surgery. Measuring and main outcomes: The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were utilized to analyze the predictive accuracy of NEWS2 and GCS for hospital mortality at 24, 48, and 72 h post-admission and at discharge. Results: Out of 2,276 patients (mean age 61.4, 65.6% male), 1855 survived while 421 succumbed. NEWS2 demonstrated superior predictive accuracy (AUC = 0.962) over GCS (AUC = 0.854) for overall hospital mortality. Specifically, NEWS2 outperformed GCS in predicting mortality at 24 h (0.917 vs. 0.843), 48 h (0.893 vs. 0.803), and 72 h (0.902 vs. 0.763). Notably, despite a higher AUC for NEWS2 at predicting 24-h hospital mortality, the sensitivity and specificity of GCS were considerably lower (12 and 31%, respectively) compared to NEWS2 (sensitivity of 95% and specificity of 81%). Subgroup analysis showed NEWS2 outperforming GCS in predicting in-hospital mortality for TBI and stroke patients. For TBI patients (n = 260), NEWS2 had an AUC of 0.960 (95% CI: 0.948-0.973) vs. GCS's AUC of 0.811 (95% CI: 0.781-0.840). For stroke patients (n = 161), NEWS2 had an AUC of 0.930 (95% CI: 0.908-0.952) vs. GCS's AUC of 0.858 (95% CI, 0.823-0.892). NEWS2 showed greater sensitivity in both groups, highlighting its effectiveness in identifying high-risk neurological patients. Conclusion: NEWS2 scores are more precise and effective in predicting hospital mortality in stroke and TBI patients compared to GCS scores, although slightly less so within the first 24 h. Combining NEWS2 with GCS and clinical findings within the initial 24 h is recommended for a comprehensive prognosis evaluation.

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INTRODUCTION: Traumatic brain injury (TBI) is a major cause of disability, with annual global incidence estimated as 69 million people. Survivors can experience long-term visual changes, altered mental state, neurological deficits and long-term effects that may be associated with mental illness. TBI is prevalent in military personnel due to gunshot wounds, and blast injury. This study aims to evaluate the relationship between evolving visual, biochemical and mental health changes in both military veterans and civilians, suffering from TBI, and detect preliminary indicators of prognosis for TBI recovery, and quality-of-life outcomes. METHODS AND ANALYSIS: UNTANGLE is a 24-month prospective observational pilot study recruiting three patient groups: civilians with acute moderate-severe TBI, military veterans with diagnosis of a previous TBI and a control group of civilians or veterans with no history of a previous TBI. Patients will undergo visual, biochemical and mental health assessments, as well as patient-reported quality of life outcome measures over the course of a 1-year follow-up period. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Health Research Authority and Health and Care Research Wales with a REC reference number of 23/NW/0203. The results of the study will be presented at scientific meetings and published in peer-reviewed journals, including both civilian and military-related publications. We will also present our findings at national and international meetings of learnt neuroscience and neuropsychiatry and military societies. We anticipate that our pilot study will inform a larger study on the long-term outcomes of TBI and quality of life, specific to military veterans, such that potential interventions may be accessed as quickly as possible. TRIAL REGISTRATION NUMBER: ISRCTN13276511.

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PURPOSE: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed tomography (NCCT) head scans after traumatic brain injury (TBI). MATERIALS AND METHODS: This retrospective study was conducted using a prototype algorithm that evaluated 502 NCCT head scans with ICH in context of TBI. Four board-certified radiologists evaluated in consensus the CT scans to establish the standard of reference for hemorrhage presence and type of ICH. Consequently, all CT scans were independently analyzed by the algorithm and a board-certified radiologist to assess the presence and type of ICH. Additionally, the time to diagnosis was measured for both methods. RESULTS: A total of 405/502 patients presented ICH classified in the following types: intraparenchymal (n = 172); intraventricular (n = 26); subarachnoid (n = 163); subdural (n = 178); and epidural (n = 15). The algorithm showed high diagnostic accuracy (91.24%) for the assessment of ICH with a sensitivity of 90.37% and specificity of 94.85%. To distinguish the different ICH types, the algorithm had a sensitivity of 93.47% and a specificity of 99.79%, with an accuracy of 98.54%. To detect midline shift, the algorithm had a sensitivity of 100%. In terms of processing time, the algorithm was significantly faster compared to the radiologist's time to first diagnosis (15.37 ± 1.85 vs 277 ± 14 s, p < 0.001). CONCLUSION: A novel deep learning algorithm can provide high diagnostic accuracy for the identification and classification of ICH from unenhanced CT scans, combined with short processing times. This has the potential to assist and improve radiologists' ICH assessment in NCCT scans, especially in emergency scenarios, when time efficiency is needed.

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BACKGROUND: There is a lack of consensus on standardized measurement instruments (MIs) for the assessment of cognitive communication disorders in individuals with acquired brain injury (ABI). OBJECTIVES: To identify and describe the currently available MIs for the assessment of cognitive communication disorders in individuals with ABI and to evaluate the psychometric properties of MIs. METHODS: A search was conducted in 6 databases on March 12, 2024 using a validated methodological search filter. We included studies that evaluated psychometric properties of MIs used to assess cognitive communication disorders in individuals with ABI. We applied the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) to evaluate the psychometric properties of the MIs. RESULTS: We included 48 records reporting on 44 MIs. Of all MIs, the La Trobe Communication Questionnaire (LCQ) and the St Andrew's-Swansea Neurobehavioural Outcome Scale (SASNOS) were studied most extensively. No MIs had undergone exhaustive methodological evaluation. CONCLUSIONS: Based on the COSMIN, only 1 of 44 MIs can be recommended as its results can be trusted. Most MIs have the potential to be recommended but require further research to assess their psychometric quality. The development of new tools is not necessary but further methodological studies should be conducted on promising tools. This review may help clinicians and researchers to select an MI for the assessment of cognitive communication disorders and may facilitate diagnosis and research. TRIAL REGISTRATION: PROSPERO database (registration number: CRD42020196861). No funding.

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Repetitive subconcussive head impacts (RSHI) are believed to induce sub-clinical brain injuries, potentially resulting in cumulative, long-term brain alterations. This study explores patterns of longitudinal brain white matter changes across sports with RSHI-exposure. A systematic literature search identified 22 datasets with longitudinal diffusion magnetic resonance imaging data. Four datasets were centrally pooled to perform uniform quality control and data preprocessing. A total of 131 non-concussed active athletes (American football, rugby, ice hockey; mean age: 20.06 ± 2.06 years) with baseline and post-season data were included. Nonparametric permutation inference (one-sample t tests, one-sided) was applied to analyze the difference maps of multiple diffusion parameters. The analyses revealed widespread lateralized patterns of sports-season-related increases and decreases in mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) across spatially distinct white matter regions. Increases were shown across one MD-cluster (3195 voxels; mean change: 2.34%), one AD-cluster (5740 voxels; mean change: 1.75%), and three RD-clusters (817 total voxels; mean change: 3.11 to 4.70%). Decreases were shown across two MD-clusters (1637 total voxels; mean change: -1.43 to -1.48%), two RD-clusters (1240 total voxels; mean change: -1.92 to -1.93%), and one AD-cluster (724 voxels; mean change: -1.28%). The resulting pattern implies the presence of strain-induced injuries in central and brainstem regions, with comparatively milder physical exercise-induced effects across frontal and superior regions of the left hemisphere, which need further investigation. This article highlights key considerations that need to be addressed in future work to enhance our understanding of the nature of observed white matter changes, improve the comparability of findings across studies, and promote data pooling initiatives to allow more detailed investigations (e.g., exploring sex- and sport-specific effects).

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BACKGROUND: Traumatic brain injury (TBI) is a leading cause of morbidity and mortality in trauma patients, necessitating reliable prognostic tools. The segmented neutrophil-to-monocyte (SeMo) ratio, indicative of the inflammatory response, has emerged as a valuable biomarker. This study evaluates the prognostic value of dynamic changes in the SeMo ratio in predicting outcomes for patients with moderate to severe TBI. METHODS: A retrospective analysis was conducted on data from 1118 TBI patients admitted to the surgical intensive care unit at a level I trauma center between January 2009 and December 2020. Patients were selected based on an Abbreviated Injury Scale (AIS) score ≥ 3 in the head region. Initial and follow-up SeMo ratios were calculated upon admission and 48-72 h later, respectively. The dynamic SeMo ratio was defined as the difference between the second and initial SeMo ratios. Statistical analyses included receiver operating characteristic (ROC) curve analysis to determine the optimal threshold for mortality prediction, and comparative analysis of clinical outcomes. RESULTS: The study cohort included 121 deceased and 997 surviving patients. Deceased patients had significantly higher second SeMo ratios (20.9 ± 16.1 vs. 15.8 ± 17.2, p = 0.001) and dynamic SeMo ratios (2.4 ± 19.8 vs. -2.1 ± 19.5, p = 0.019) than those survival patients. In the multivariate analysis, the dynamic SeMo is a significant independent risk factor for in-hospital mortality (OR 1.01, 95%CI: 1.01-1.03, p = 0.031). The optimal cut-off for the dynamic SeMo ratio was 5.96, above which patients exhibited higher mortality (21.4% vs. 8.5%, p < 0.001), higher adjusted mortality (adjusted odds ratio: 2.98; 95% confidence interval: 1.95-4.56; p = 0.005), and longer hospital stays (23.6 days vs. 19.7 days, p = 0.005). DISCUSSION: Dynamic SeMo ratio changes serve as a prognostic marker for in-hospital mortality and hospital stay duration in moderate to severe TBI patients. A higher dynamic SeMo ratio indicates increased risk, highlighting the importance of early monitoring and intervention. Future prospective studies should validate these findings and explore integration with other biomarkers for enhanced prognostication.

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OBJECTIVE: To determine the extent and efficacy of attentional training as a form of neuropsychological rehabilitation to ameliorate attention deficits in adults with moderate-to-severe traumatic brain injury. DATA SOURCES: Articles published in Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, PubMed, PsycINFO, Scopus, and Web of Science were searched between January 17, and February 27, 2021. STUDY SELECTION: Two reviewers blindly assessed studies for eligibility according to the following criteria: any article evaluating the efficacy of any type of behavioral intervention that targeted attention (by means of cognitive rehabilitative, psychoeducational, or neuropsychological strategies, at either an individual or group level) in adults who had sustained a formally documented moderate-to-severe traumatic brain injury. DATA EXTRACTION: Methodological quality of each article was blindly assessed by 2 reviewers. Data were extracted from each study, including study type, sample size, sample characteristics, summary of intervention, measures used to assess attention, statistical outcomes and results, effect size, conclusion, and limitations. DATA SYNTHESIS: 7314 articles were retrieved from databases, 4325 articles remained after duplicate removal, and finally 21 articles met eligibility criteria and were included in this review. Articles represented varied methodological quality in group or single subject design. Irrespective of the heterogeneity regarding intervention types and attentional outcome measures used across the studies, overall findings suggest that attentional gains can be made in this sample, irrespective of time since injury, age, and injury severity. Further, a growing interest in technology-based interventions is frequently used and holds promise to bettering rehabilitation efforts. However, there is still limited evidence supporting the ecological validity of attentional training interventions (eg, the transfer of treatment effects to daily activities). CONCLUSIONS: This article plays a crucial role in informing ongoing rehabilitation practices, guiding clinicians with evidence-based strategies and shaping future research directions for more effective attentional training guidelines.

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In recent years, there has been marked interest in looking at the psychological consequences of medical conditions, such as traumatic or acquired brain injuries. Coping strategies are essential for clinical recovery and for dealing with the stressful events that a clinical condition brings with it. The purpose of this review is to analyze studies that explore how coping strategies influence psychological changes in patients with acquired brain injury. Studies were identified from research in the PubMed, Scopus, and Embase databases. According to our findings, patients with ABI utilize different coping strategies based on the circumstances and factors such as the diagnosis severity, their age, time lived with the pathology, and personal characteristics, which have an influence on quality of life and rehabilitation. This review demonstrated that coping strategies have an impact on different aspects of the clinical and personal lives of patients with ABI. The rehabilitation process must consider the influence of these mechanisms on dealing with situations, as they can change cognitive and emotional perceptions of patients' experience with the disease, as well as laying the foundations for functional or dysfunction in terms of the propensity of a person for the path of psychological and physical recovery.

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PURPOSE: This exploratory study aimed to examine brain injury videos on YouTube to determine who posted about brain injury, content categories of videos, and how brain injury was represented. METHODS: A mixed methods approach was used. Brain injury videos on YouTube were collected in November 2022 and analysed quantitatively and qualitatively using descriptive statistics and content analysis. Visual data analysis was used to generate visual descriptions of a representative sample of the videos, and these were thematically analysed alongside the video transcripts. RESULTS: The sample of 100 YouTube videos consisted of educational, lived experience, and promotional videos. Medical organisations and hospitals were the predominant source of videos. An overarching theme of "Video tells a story" was generated from eighteen visual descriptions and transcripts which contained three major themes: (a) we choose how the story is told, (b) recovery is a process, and (c) it changed my life. CONCLUSION: YouTube may have a storytelling role for both people with a brain injury wishing to share their story and for health professionals wishing to communicate information about brain injury. This research may have clinical implications for the integration of YouTube in brain injury rehabilitation and the use of YouTube for health communication.

Existing literature demonstrates that social media platforms, including Twitter (now known as X) and Facebook, are used by people with brain injury, health professionals and the public to share and access content.YouTube is used by medical and educational organisations, health professionals, and people with brain injury to post videos that discuss educational, medical, promotional, and lived experience topics.YouTube has a storytelling role that enables users to share stories about brain injury, including personal experiences posted by people with brain injury. This may be significant as storytelling allows people with brain injury to build connections with others.YouTube is also used by health professionals to share factual information about brain injury. The choices made in videos (e.g., audio-visual content, portrayal of brain injury, language style) impacted the research team's connection with videos.Health professionals should integrate lived experience and the voices of people with brain injury to create authentic videos that resonate with audiences.

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Transient ischemic attack (TIA) is traditionally viewed as a self-resolving episode of neurological change without persistent impairments and without evidence of acute brain injury on neuroimaging. However, emerging evidence suggests that TIA may be associated with lingering cognitive dysfunction. Cognitive impairment is a prevalent and disabling sequela of ischemic stroke, but the clinical relevance of this phenomenon after TIA is less commonly recognized. We performed a literature search of observational studies of cognitive function after TIA. There is a consistent body of literature suggesting that rates of cognitive impairment following TIA are higher than healthy controls, but the studies included here are limited by heterogeneity in design and analysis methods. We go on to summarize recent literature on proposed pathophysiological mechanisms underlying the development of cognitive impairment following TIA and finally suggest future directions for further research in this field.

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OBJECTIVE: To characterize the traumatic brain injury (TBI) profile and its associated risk factors in homeless individuals in Santa Clara County, CA. DESIGN: Observational cohort study. SETTING: Two homeless shelter health clinics in Santa Clara County, CA. PARTICIPANTS: Currently or recently homeless individuals seeking health care at 2 homeless shelter health clinics between August 2013 and May 2014. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Demographics, TBI incidence and characteristics. RESULTS: The findings indicate that TBI history in the homeless population was higher (79.7%) than in the general population (12%). Almost half of the population (49.2%) reported that their TBI occurred before the age of 18. Of the participants, 68.2% reported sustaining a TBI with loss of consciousness. TBI caused by violence (60%) was lower in this cohort than other homeless cohorts but was the main cause of injury regardless of age. Alcoholism was a risk factor for having more TBIs. No differences in TBI profile were found between sexes. CONCLUSIONS: Our findings underscore the need for more research on the lifetime risk factors associated with TBI to prevent and reduce the number of brain injuries in homeless populations.

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PURPOSE: Children with Special Health Care Needs (CSHCN) may experience disruptions in education due to extended hospitalizations. The purpose of this study was to describe how CSHCN experience educational supports during inpatient rehabilitation and identify the ongoing challenges when planning to return to school. MATERIALS AND METHODS: Semi-structured focus groups were conducted with parents (n = 12), former patients (n = 20), and rehabilitation professionals (n = 8). RESULTS: Through qualitative thematic analysis based on descriptive phenomenology, we developed three themes: 1) Inpatient educational support such as instruction and schoolwork helped reduce the learning loss during hospitalization. However, these supports were sometimes complicated by lags in school approvals and challenges in coordination between systems. 2) Transition planning involved establishing necessary services to support CSHCN's educational and healthcare needs at school re-entry. However, families reported limited information and guidance as key barriers. 3) Dynamic courses of school re-entry required continued support after discharge. The participants recommended that reassessment and adjustment of transition plans were often necessary to account for evolving developmental and educational needs but were not always received. CONCLUSIONS: There is an ongoing need to improve communication between clinicians and educators, information for families, and long-term follow-up on the changing educational needs for CSHCN after rehabilitation.

School re-entry after extended hospitalization is challenging for children with special health care needs (CSHCN) due to school disruption, social disconnection, and change in functional abilities.The hospital-to-school transition processes include inpatient educational programs during hospitalization, pre-discharge transition planning, and the subsequent implementation and adjustment of transition plans to facilitate individualized school re-entry.Key areas in need of improving school re-entry include coordination between the hospital and school about rehabilitation and educational goals and information provided to families about transition processes, particularly for newly acquired health conditions.A common need expressed by parents and CSHCN is to simplify and accelerate the process to establish services that support children's educational and healthcare needs.

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BACKGROUND: Targeted beta-blockade after severe traumatic brain injury may reduce secondary brain injury by attenuating the sympathoadrenal response. The potential role and optimal dosage for esmolol, a selective, short-acting, titratable beta-1 beta-blocker, as a safe, putative early therapy after major traumatic brain injury has not been assessed. METHODS: We conducted a single-center, open-label dose-finding study using an adaptive model-based design. Adults (18 years or older) with severe traumatic brain injury and intracranial pressure monitoring received esmolol within 24 h of injury to reduce their heart rate by 15% from baseline of the preceding 4 h while ensuring cerebral perfusion pressure was maintained above 60 mm Hg. In cohorts of three, the starting dosage and dosage increments were escalated according to a prespecified plan in the absence of dose-limiting toxicity. Dose-limiting toxicity was defined as failure to maintain cerebral perfusion pressure, triggering cessation of esmolol infusion. The primary outcome was the maximum tolerated dosage schedule of esmolol, defined as that associated with less than 10% probability of dose-limiting toxicity. Secondary outcomes include 6-month mortality and 6-month extended Glasgow Outcome Scale score. RESULTS: Sixteen patients (6 [37.5%] female patients; mean age 36 years [standard deviation 13 years]) with a median Glasgow Coma Scale score of 6.5 (interquartile range 5-7) received esmolol. The optimal starting dosage of esmolol was 10 µg/kg/min, with increments every 30 min of 5 µg/kg/min, as it was the highest dosage with less than 10% estimated probability of dose-limiting toxicity (7%). All-cause mortality was 12.5% at 6 months (corresponding to a standardized mortality ratio of 0.63). One dose-limiting toxicity event and no serious adverse hemodynamic effects were seen. CONCLUSIONS: Esmolol administration, titrated to a heart rate reduction of 15%, is feasible within 24 h of severe traumatic brain injury. The probability of dose-limiting toxicity requiring withdrawal of esmolol when using the optimized schedule is low. Trial registrationI SRCTN, ISRCTN11038397, registered retrospectively January 7, 2021 ( https://www.isrctn.com/ISRCTN11038397 ).