Active clinical trials for "Brain Injuries"

This study was conducted to develop and validate integrated eye tracking and EEG measures for assessment of mild traumatic brain injury.

The aim of the study is to look if Quick Sequential Organ Failure Assessment Score score in detecting a eary Sepsis is afflicted by neurosurgical disorders

Rationale Prolonged mechanical ventilation (MV) is common in patients with severe Brain Injury (BI). Guidelines for the management of extubation are largely lacking for patients with BI, and the role of tracheostomy is highly uncertain. More important, data on practice of management of extubation is yet underreported, as is the use of tracheotomy in this specific subset of critical care patients. Objective The objective of this prospective observational study is to describe the management of extubation and tracheostomy in intensive care unit (ICU) patients with BI. The aim is to describe the incidence of extubation failure and the rate of tracheostomy. Study design The "Extubation strategies in Neuro-Intensive care unit patients, and associations with Outcomes (ENIO)" is an observational multicentre international cohort study. Study population The investigators will include patients undergoing BI, with an initial Glasgow Coma Score ≤ 12 and with a delivered duration of mechanical ventilation (MV) ≥ 24 hours at ICU admission. The inclusion period will last 6 months in total, and each centre is expected to include at least 24 patients during this period. With over 60 ICUs participating worldwide, we expect to include 1500 patients. Main parameters Parameters to be collected include: general neurological management, ventilatory management, general ICU complications, specific data on extubation and tracheostomy, general in-ICU outcomes and in-hospital mortality. Nature and extent of the burden and risks associated with participation Because of the observational design of the study using routinely collected data, there is no additional burden for the patient. Collection of data from ICU charts and/or (written or electronic) medical records systems bears no risk to the patients.

The project uses big data analysis techniques such as wavelet transform and deep learning to analyze physiological signals from neurocritical patients and build a model to evaluate intracranial condition and to predict neurological outcome. By identification of correlations among these parameters and their trends, we may achieve early detection of anomalies and enhance the ability in judgement of current neurological condition and prediction of prognosis. By continuous input of the past and contemporary data in the ICU, the model will be modified repeatedly and its accuracy improves as the model grows. The model can be used to recognize abnormalities earlier and provide a warning system. Clinicians taking care of neurocritical patients can adjust their treatment policy and evaluate the outcome according to such system.

Traumatic brain injury (TBI) is one of the most frequent injuries affecting service members. Unfortunately, current neurocognitive assessment tools are unable to reliably detect mild TBI more than a few days post- injury. Therefore, development of advanced systems for assessment and diagnosis of TBI are a top priority within Department of Defense. This project aims to evaluate a combined electroencephalography (EEG) and eye tracking system capable of assessing compromised cognitive function stemming from TBI, with the goal of enhancing operational readiness and aiding in diagnosis, improving health care and rehabilitation for affected military personnel.

The aim of this study is to assess the utility of advanced magnetic resonance imaging (MRI) and electroencephalographic (EEG) technologies for predicting functional outcomes in patients with severe traumatic brain injury (TBI).

The goal of this study is to examine olfactory function in preclinical subjects or individuals with neurological diseases such as Probable Alzheimer's Disease (PRAD), Frontotemporal Dementias (FTD), Dementia with Lewy Bodies (DLB), Traumatic Brain Injury (TBI), and Amyotrophic Lateral Sclerosis (ALS).

Precise description of behavioral signs denoting transition from unresponsive wakefulness syndrome/vegetative state (UWS/VS) to minimally conscious state (MCS) or emergence from MCS after severe brain injury is crucial for prognostic purposes. A few studies have attempted this goal but involved either non-standardized instruments, limited temporal accuracy or samples, or focused on (sub)acute patients. The objective of this study is to describe the behavioral signs that led to a change of diagnosis, as well as the factors influencing this transition, in a large sample of patients with chronic disorders of consciousness after severe brain injury.

The aim of this retrospective cohort study is to evaluate complications rates, indications, and the utility of follow-up imaging studies of ICP measurement in severe TBI patients.

The purpose of this study was to identify the relationship between coagulopathy during the perioperative period (before the operation and on the first day after the operation) and the long-term survival of traumatic brain injury patients undergoing surgery, as well as to explore the predisposing risk factors that may cause perioperative coagulopathy.