View clinical trials related to Trauma, Brain.
Filter by:Early prediction of outcomes after acute brain injury (ABI) remains a major unsolved problem. Presently, physicians make predictions using clinical examination, traditional scoring systems, and statistical models. In this study, we will use a novel technique, "SeeMe," to objectively assess the level of consciousness in patients suffering from comas following ABI. SeeMe is a program that quantifies total facial motion over time and compares the response after a spoken command (i.e. "open your eyes") to a pre-stimulus baseline.
The research will investigate the hypothesis that timely identification of the optimal value of the cerebral perfusion pressure (optCPP) or optimal arterial blood pressure (optABP) is possible after detecting informative episodes of arterial blood pressure (ABP) that reflects the physiological autoregulatory reactions of the cerebral blood flow, This biomedical study will be conducted to test this hypothesis and to develop an algorithm for identification of optimal brain perfusion pressure within limited time (several tens of minutes). The goal of this observational study is to test the method of timely optimal cerebral perfusion pressure value or optimal arterial pressure value in intensive care patients after brain surgery. The main question it aims to answer are: how long it takes to identify optimal cerebral perfusion value when arterial blood pressure is changing within safe physiological limits. Objectives of the study 1. To perform a prospective observational study by collecting multimodal physiological brain monitoring data: intracranial pressure (ICP), arterial blood pressure (ABP), End-tidal carbon dioxide (ETCO2), cerebral blood flow velocity (CBFV), ECG. 2. To perform a retrospective analysis of the accumulated clinical monitoring data, in order to create an algorithm for the identification of informative monitoring data fragments, according to which it would be possible to identify the optimal cerebral perfusion pressure (optCPP) value in a limited time interval (within a few or a dozen minutes). 3. To perform a retrospective analysis of accumulated clinical monitoring data, determining correlations of cerebral blood flow autoregulation and optCPP-related parameters with the clinical outcome of patients and with the risk of cerebral vasospasm or cerebral ischemia.
Non-Contrast Computed Tomography (NCCT) of the head is the most common imaging method used to assess patients attending the Emergency Department (ED) with a wide range of significant neurological presentations including trauma, stroke, seizure and reduced consciousness. Rapid review of the images supports clinical decision-making including treatment and onward referral. Radiologists, those reporting scans, often have significant backlogs and are unable to prioritise abnormal images of patients with time critical abnormalities. Similarly, identification of normal scans would support patient turnover in ED with significant waits and pressure on resources. To address this problem, Qure.AI has worked to develop the market approved qER algorithm, which is a software program that can analyse CT head to identify presence of abnormalities supporting workflow prioritisation. This study will trial the software in 4 NHS hospitals across the UK to evaluate the ability of the software to reduce the turnaround time of reporting scans with abnormalities that need to be prioritised.
Traumatic Brain Injury (TBI) is a devastating condition and a leading cause of long-term disability. Every patient with TBI has a different type of injury and is treated differently from hospital to hospital making it very difficult to identify the most effective treatments. The current study focuses on the most severe types of TBI that require hospital ICU care - moderate to severe TBI (m-sTBI). The overall aim of this study is to collect data about how different hospitals manage m-sTBI in Australia, and to quantify the variability that likely exists. Recovery at 6 months post-injury will be collected to allow a better understanding on how different injuries and treatments affect long term outcomes.
This study aims to evaluate the accuracy of POCUS as a screening tool for early diagnosis of skull fractures in children with mild closed head injuries admitted to the emergency department. The results would aid the emergency physicians to speed up the management and reduce the cost of diagnosing skull fractures and TBI.
After injury, survivors of msTBI depend on informal family caregivers. Upwards of 77% of family caregivers experience poor outcomes, such as adverse life changes, poor health related quality of life, and increased depressive symptoms. Caregivers frequently report minimal support or training to prepare them for their new role. Periods of care transitions, such as ICU discharge, are most difficult. The majority (93%) of previously developed caregiver and caregiver/survivor dyad interventions after msTBI focus on providing information or practical skills to either survivors, or to long-term caregivers (>6 months post injury), rather than education, support, and skill-building that the new caregiver may use proactively that will benefit the dyad acutely after injury. The Aims of this proposal are to: (1) Determine feasibility, satisfaction, and data trends of CG-Well; and (2) Understand how baseline psychosocial risk factors affect response to CG-Well compared to an Information, Support, and Referral control group. To accomplish this, I will first enroll 6-10 caregivers and tailor CG-well until each finds the intervention acceptable, appropriate, and feasible. I will then enroll 100 (50/group) dyads and determine satisfaction ratings, recruitment, retention, and treatment fidelity of CG-Well. Additionally, I will determine if caregivers report reductions in depressive symptoms and improvements in life changes as a result of improvements in task difficulty and threat appraisal in CG-Well compared to ISR at six months. Information obtained in Aims 1 and 2 will be used to plan a larger Phase III trial of CG-Well. Completing these Aims and the training plan will improve outcomes of caregivers and downstream outcomes of survivors of msTBI, and provide me with the skillset necessary to become an independent researcher who can develop and test high-impact, high-fidelity, sustainable interventions.
Utility of transcranial Doppler as an Early Predictor of Neurological deterioration in Mild and Moderate Traumatic Brain Injury
In this study, the single-cell transcriptome sequencing technology was used to study the transcriptome differences at the single-cell level in normal human brain, aging human brain, and epileptic brain.
The objectives of this study are to: (1) determine the effects of combinatorial training (i.e. combinatory of aerobic exercise with cognitive training and guiding training) vs. the sequential training (i.e. a combination of aerobatic exercise with cognitive training) on cognitive function, physical function, and daily function/participation and psychological function in persons with cognitive impairments post Traumatic brain injury (TBI); (2) determine the long-term effects of these two types of interventions on these outcome measures.
Severe Trauma Brain Injury (TBIs) is a public health problem and monitoring of Intracranial Pressure (ICP) is a determinant key of it prognosis. Within the noninvasive methods to estimate the ICP, the measurement of intraocular pressure has been proposed because of its biological plausibility (proximity of the eye to the encephalic contend). Objective. Correlate intraocular pressure with ICP in children with TBIs and obtain their utility values.