Active clinical trials for "Emergence Delirium"

The research team is creating a foundational infrastructure in order to develop a precision medicine approach for geriatric patients who require surgery with anesthesia. The team plans to build the first of its kind comprehensive database of demographic and risk factor questionnaire responses, biobanked blood specimens, intraoperative electroencephalography (EEG), and inclusive cognitive testing throughout patient interaction starting at the preop appointment until a year later. This will be used to create a predictive model of periooperative neurocognitive disorders.

Observational prospective pilot study to analyze the trajectory of neuroinflammatory protein expression in cerebrospinal fluid (CSF) in relation to systemic compartment in patients undergoing thoracic aortic surgery. The aim of this study is to identify and unravel the biochemical (neuroinflammatory) pathways involved in postoperative delirium. Patient undergoing thoracic aortic surgery will have an external lumbar drain (ELD) in situ on the day before surgery. This ELD remains in place during and three days after surgery to reduce the risk on periprocedural spinal cord ischemia. Paired measurements of CSF and blood will be analyzed.

The study targets postoperative delirium in patients undergoing major abdominal surgery, with the aim to evaluate the functional baseline and proteomics implicated in pathogenesis, prevention strategies (such as anesthesia depth monitoring) and incidence in certain population groups.

In this study, patients with frontal glioma will be selected for preoperative neurocognitive assessment, APOE genotype detection, 3D structural imaging, cortical blood oxygen level dependent imaging (resting state + task state), and subcortical diffusion tensor multimodal MRI to explore preoperative brain structures and brain networks, and postoperative delirium will be assessed 1-3 days after surgery. The aim was to investigate the preoperative neuroanatomical basis of postoperative delirium in this population at the level of brain structure and network connectivity, and to predict the risk of patients by integrating cognitive indicators and neuroimaging markers in an event probability model to construct an optimal sequence of abnormalities in a series of markers, and then to establish a more population-specific subgroup prediction based on different APOE genotypes and the establishment of neurological compensation. The final clinical validation was performed on a small sample to provide a basis for the prevention of postoperative delirium in frontal glioma patients.

The goal of this study is to determine if preoperative temperament is associated with postoperative pain, emergence agitation, emotional and behavioral changes, and overall parent satisfaction. This is a prospective observational study to assess preoperative temperament in pediatric patients undergoing tonsillectomy and adenoidectomy, gather demographic data, intraoperative data regarding surgical and anesthetic technique, and collect immediate postoperative data to assess pain, emergence agitation (EA), parental satisfaction as well as remote postoperative data to assess emotional and behavior changes. These data will be used to determine if patients with a specific temperament profile are more likely to experience increased pain, emergence agitation, emotional changes, and behavioral disturbances postoperatively.

Postoperative delirium is common in patients undergoing cardiovascular surgery and associated with poor outcomes. However the pathogenesis of postoperative delirium is poorly understood. Multichannel electroencephalogram is a recognized tool for identifying neurophysiologic states during anesthesia, sleep, and arousal. The aim of the current study is to evaluate the mechanisms and predictors of postoperative delirium in patients undergoing cardiovascular surgery using electroencephalogram.

Brain monitoring using near-infrared spectroscopy (NIRS) started in 2002 in the operating room of the Montreal heart Institute (MHI). This was followed by the use of somatic NIRS in 2010, transcranial Doppler in 2015 and processed electroencephalogram (pEEG) using Sedline (Masimo, Irvine CA) in 2017. The introduction of those modalities led to significant change in intraoperative management. The goal of these devices is to improve our ability to detect and predict post-operative complications as well as offering insights on how to prevent them. The current project explores in further detail the impact of the introduction of pEEG in the operating room and in the intensive care unit (ICU) on post-operative delirium.

Postoperative delirium (POD) is a common complication in elderly patients and is associated with negative clinical outcomes, such as prolonged hospitalizations, cognitive impairment, and higher mortality rate. While the pathophysiology of delirium remains unknown, the cerebral hypoperfusion and neuroinflammatory response are considered to play an important role in the process of POD. The aim of the study is to determine the association between POD and biomarkers in elderly patients undergoing noncardiac and non-neurological surgery.

Postoperative delirium (POD) is a common perioperative complication, which can lead to adverse outcomes. Patients undergoing carotid endarterectomy (CEA) were elderly, complicated with vascular risk factors, cognitive dysfunction, some also had a history of stroke, and the circulation fluctuated greatly during the operation, often resulting in hypoperfusion of cerebral tissue and hypoxia. Therefore, they're the high-risk group of POD. Near-infrared Spectroscopy (NIRS) can continuously and noninvasively monitor local cerebral oxygen saturation (SctO2) to identify the mismatch of oxygen supply and demand in brain tissue. However, for CEA patients, the association between intraoperative SctO2 changes and POD remains unclear. This study intends to explore the association between them and determine the SctO2 threshold for predicting POD. We will monitor SctO2 intraoperatively, follow up and collect data postoperatively.

Postoperative delirium (POD) is a frequent postoperative complication in the elderly, characterised by fluctuating disturbances in attention, awareness, and cognition. Identifying the patients at highest risk of developing POD was the aim of the artificial intelligence (AI)-based algorithm PIPRA. This prospective cohort study is to externally validate the AI-based PIPRA algorithm. The primary endpoint is the performance (AUC) of the PIPRA algorithm in predicting POD. The secondary endpoint is the performance (AUC) of the clinicians in predicting POD (and how it compares with the performance of the PIPRA algorithm).