Active clinical trials for "Delirium"

This is prospective double-blinded placebo-randomized controlled trial that aims to compare the effect of preoperative administration of oral duloxetine 60 mg on decreasing the incidence of postoperative delirium in cancer patients undergoing surgery.

To determine whether continuous theta burst stimulation can cure postoperative delirium in senior patients.

Although the incidence of delirium after cardiac surgery is high, it is not sufficiently recognized. The long-term effects of delirium are likely to be underestimated. In this study, the investigators aimed to examine the relationship between optic nerve sheath diameter and postoperative delirium in open hearth surgery.

The purpose of this research is to investigate whether addition of the EyeControl-Pro platform as an adjunct to standard guideline-based intensive care unit management of critically ill patients is effective in reducing delirium incidence and severity.

This is a single-center, prospective observational pilot study. The objective of this study is to evaluate the effectiveness of trazodone as compared to quetiapine, in the management of ICU delirium in adult (>=18 years old) surgical and medical ICU patients. The investigators will compare outcomes such as delirium duration, delirium-free days, coma-free days, in-hospital mortality, 28-day mortality, hospital length of stay (LOS), ICU LOS, mechanical ventilator days, complications, adverse effects, rescue medication use, delirium symptom severity, sleep duration, and sleep quality among participants receiving trazodone or quetiapine. The investigators hypothesize participants receiving trazodone will be associated with a shorter duration of delirium, decreased delirium severity, and improved sleep quality compared to participants receiving quetiapine.

The incidence of postoperative delirium in patients after cardiovascular surgery is very high, which seriously affects the short-term and long-term prognosis of patients, but its mechanism is not clear. Recent studies have found that lactic acid participates in the process of sepsis by inducing histone lactatation in macrophages. histone H3 lysine 18 lactylation (H3K18la) is significantly associated with the severity of disease and inflammatory response. Inflammation plays an important role in postoperative delirium. We therefore hypothesized that macrophage H3K18la also plays a role in postoperative delirium. At the same time, the latest literature shows that the early markers of Alzheimer's disease (AD), such as Aβ, exosomes and phosphorylated tau, etc. [5], can also be detected in the serum of AD patients. Given the obvious correlation between Alzheimer's disease and postoperative delirium [6], we hypothesized that serum biomarkers of AD could also be used as serum biomarkers for postoperative delirium. The objectives of this study were to investigate the correlation between H3K18 in serum monocytes and postoperative delirium and its severity in patients undergoing cardiovascular surgery. Meanwhile, we also detect the serum levels of biomarkers of AD, such as Aβ, tau and exosomes etc., in patients undergoing major cardiac surgery. We aim to find the serum biomarkers of delirium after major cardiac surgery, so as to provide a more convenient diagnostic basis for the prevention of postoperative delirium.

Postoperative delirium (POD) is a common postoperative complication that can occur in patients of any age. POD brings great burden to patients and their families, as the following cognitive decline may persist for months to years to impede patients returning to previous life quality and employment. The PREDICt study aims to characterize the incidence and profiles of POD in ICU, and to find out risk factors, especially any are modifiable, and any have value for developing prediction model. Our final aim is to comprehensively and deeply explore the etiology of POD to guide prevention of delirium among postoperative patients.

Identify the degree of delirium in subjects with mild cognitive impairment and find the risk factors of delirium. Mortality, hospital stay, and medical expenses are analyzed as clinical consequences related to delirium incidence. Dementia conversion rate and conversion period of subjects with mild cognitive impairment with delirium and it identifies the effect of delirium on dementia conversion. Develop an AI(Artificial intelligence) algorithm for predicting dementia transition in subjects with mild cognitive impairment based on the research results of the 1st, 2nd, and 3rd years.

Delirium is frequently observed among critically ill patients and is associated with detrimental outcomes. Currently, no evidence-based prevention or treatment exists for delirium, and especially, the inability to identify effective preventive measures of delirium has increased the focus on identifying patients with a high risk of delirium through prediction models. Two prediction models have been developed to estimate the risk of delirium in ICU patients: the prediction model for delirium (PRE-DELIRIC) and the early prediction model for delirium (E-PRE-DELIRIC). These robust and well-calibrated prediction models have the potential of assisting in identifying patients with the highest risk for delirium and thereby to focusing preventive strategies on the most vulnerable group. However further validation is needed in a Danish population.

Introduction: Postoperative delirium (POD), an acute, transient, fluctuating disturbance in attention, cognition, and level of consciousness, is a common (15-53%) postoperative complication, and it is associated with longer hospital stays, worse functional outcomes, higher healthcare costs, and increased mortality. However, at the current time, effective prevention and treatment are not only hampered by lack of knowledge about the neuropathogenesis of POD but also by a lack of biomarkers that could predict individual risk and assess diagnosis and severity of POD. Recent studies have focused on inflammatory markers (IL-1, IL-6, IL-8, IL-10, CRP), Alzheimer's disease-related factors (Tau, Aβ40/42), and nerve injury factors (S100β, NSE), but failed to establishing causality between these markers and POD. Furthermore, these results were contradictory. Previous study of the investigators found that the dysregulation of preoperative microRNA (miR)-146a and miR-181c in cerebrospinal fluid (CSF) and serum was associated with the development and severity of POD. Therefore, the investigators hypothesized these neurimmiRs and other neuro-epigenetics biomarkers might participate in the neuropathogenesis of POD. Purpose: Aims to search for neuro-epigenetics biomarkers to predict and diagnose POD.