Active clinical trials for "Delirium"

Non-Invasive Mechanical Ventilation (NIV) has been increasingly used in the treatment of acute respiratory failure. Notwithstanding failure rates still remains high, ranging from 5% to 60%. The onset of delirium, agitation, pain and dyspnea may contribute to reduce the success rate of non invasive ventilation treatment. The aim of this study is to assess the incidence and impact of delirium, agitation, pain and dyspnea on clinical outcomes in a population of patient admitted to Respiratory Intensive Care Unit undergoing Non-Invasive Mechanical Ventilation for Acute Respiratory Failure.

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).

In the course of a scientific accompanying program, the project pursues the goal of gaining further insight into a possible connection between various influencing factors and the development of postoperative delirium. Against this background, in addition to the primary goal of exploring delirium rates, we aim to identify associations between other secondary end goals like the internal circadian time or the heart rate variability and the occurrence of postoperative delirium. For this purpose, patients of the QC-POD (NCT04355195) sample will be studied.

Thi investigators aims to observe the impact of perioperative body temperature and the noise of operating room on postoperative delirium for elderly patients undergoing abdominal surgery. And based on this study the investigators aimed to explore the potential risk factors of postoperative delirium for elderly patients undergoing abdominal surgery.

The goal of this observational study is to compare the perioperative EEG characteristics and the incidence of short-term cognitive dysfunction in patients with postoperative delirium and non-postoperative delirium after elderly (> 65 years old) patients undergoing major gastrointestinal surgery under general anesthesia. The main question it aims to answer are: • The correlation between postoperative cognitive dysfunction and postoperative EEG features was evaluated.• To analyze the correlation between EEG characteristics and clinical risk factors of delirium after major abdominal gastrointestinal surgery under general anesthesia in elderly patients.Participants will collect EEG before and after operation and collect the incidence of postoperative cognitive function to explore the mechanism of postoperative delirium and predict postoperative cognitive dysfunction.

The IPOD-B3 study aims to characterize the relationship between premorbid brain activity and postoperative delirium in patients undergoing major surgery. This is a expansion of the NeuroVISION Bolt-On study, NCT01980511.