View clinical trials related to Delirium.
Filter by:Delirium is a frequent and serious problem in hospitalized patients; it is associated with multiple hospital-acquired complications. There is evidence that the incidence of deliri-um may be minimized by multimodal interventions (pain management, shortening the duration of mechanical ventilation, light sedation, avoiding benzodiazepines, routine delirium monitoring, and early mobilization). Even though a clear association between sleep and delirium has not been established, many studies suggest that sleep disturban-ces may be a key risk factor for the development of delirium. Therefore, sleep promoti-on is becoming an integral part of clinical care. The project support the hypothesis that non-pharmacological preventive interventions promoting sleep (sleep protocol) positive-ly influence the quality of sleep and reduce the incidence of delirium in hospitalized patients. This will be verified by qualitative and quantitative research methods, with the quantitative study being divided into three prospective cross-sectional studies and one interventional study. Data will be obtained from 3240 hospitalized patients by combi-ning subjective methods (questionnaire surveys) and objective measurements (acti-graphy). The project outcomes will allow better understanding of the relationship betwe-en sleep and delirium. A set of non-pharmacological preventive interventions promoting sleep will be developed, with a subsidiary aim to potentially reduce the incidence of delirium in hospitalized patients.
The aim of this multicenter, prospective, randomized, double-blind and large sample study is to explore the preventive effect of low-dose droperidol on POD in elderly patients after non-cardiac surgery, providing new approach for reducing the incidence of POD and improving the prognosis and quality of life.
During delirium patients are at risk of severe harm due to unattended bed-exits resulting in falls. This research intends to explore how effective alarming contact mats (CareMat®) in comparison to contactless bed-exit alarming devices (Qumea®) are to reduce the risk of unattended bed-exits and falls.
Retrospective cohort study to investigate the adherence to the process indicators for pain management, sedation management and management of delirium on outcome indicators and cost/revenues in individual patients and subcohorts.
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.
This is a feasibility study to determine if enough patients undergoing elective or urgent cardiac surgery, can be enrolled in a study where patients are randomized to receive high spinal anesthesia as an adjunct to general anesthesia for their cardiac surgery. The primary clinical outcome will be the incidence of post-operative delirium.
This study will evaluate the usefulness of the Emergency General Surgery (EGS) Delirium Recovery Model. It is hypothesized that the cognitive, physical and psychological recovery of older EGS delirium survivors will be improved through the use of the EGS Delirium Recovery Model. Participants can expect to be on the study for 18 months.
Many risk factors have been identified for delirium after open heart surgery . One of the main risk factors; duration of stay on mechanical ventilator . Our hypothesis; The use of sevoflurane during aortic cross-clamping reduces the need for long-acting intravenous anesthetic agents. Therefore, patients will be weaned from the mechanical ventilator in a shorter time. Patients with shorter stays on mechanical ventilation develop less postoperative delirium.
The study aims to investigate the status of circadian rhythm and sleep quality in ICU patients and their influence factors. And explore the pathway of circadian rhythm on ICU delirium. The hypothesis of study is that icu patients experience circadian and sleep rhythm disorder, especially in patient who have delirium.
Purpose: with an increased risk of complications. Improved preoperative risk stratification and earlier diagnosis of these complications may ameliorate postoperative recovery and improve long-term outcomes. The perioperative longitudinal study of complications and long-term outcomes (PLUTO) aims to establish a comprehensive biorepository that will facilitate research in this field. Patients undergoing elective intermediate to high-risk non-cardiac surgery are eligible for enrolment. For the first 7 postoperative days (or longer as indicated), participants will be subjected to daily bedside visits by dedicated observers, who adjudicate clinical events and perform non-invasive physiological measurements (including handheld spirometry and single-channel EEG). In addition, we will collect blood samples as well as microbiome specimens at selected time points. Primary study outcomes are the postoperative occurrence of nosocomial infections, major adverse cardiac events, pulmonary complications, acute kidney injury and delirium. Secondary outcomes include mortality as well as long-term psychopathology, cognitive dysfunction, and quality of life. PLUTO is the first perioperative biobank worldwide that includes a broad range of high-risk surgical patients, collecting prospective bedside data as well as both blood and microbiome specimens during the entire perioperative period. The data and materials collected in PLUTO will be used to develop, externally validate, and update prognostic prediction models for improved risk assessment, to test novel biomarkers for early detection of postoperative complications and to study the aetiology, attributable morbidity and mortality related to these events.