View clinical trials related to Delirium.
Filter by:Exploring the effects of repeated transcranial magnetic stimulation (rTMS) during the perioperative period on the incidence of postoperative delirium, postoperative cognitive dysfunction, and chronic postoperative pain in elderly patients, as well as its possible mechanisms.
Malnutrition is a prevalent issue among patients undergoing cardiac surgery. This can lead to delirium risk factors, including postoperative functional and cognitive impairment. Assessing the patient's nutritional status before open-heart surgery may decrease the incidence of delirium and the psychological and physiological problems associated with it. The objective of this study was to examine the relationship between nutritional status and the incidence of postoperative delirium in patients who have undergone open-heart surgery.
The goal of this observational study is to learn about sensory loss in hospital patients with delirium. The main questions it aims to answer are: - Are hearing and vision loss related to increased risk of having delirium? - Do hearing and vision loss contribute to more severe delirium? - Do sensory loss and/or delirium affect patient satisfaction with hospital care? Participants will be asked to: - answer delirium screening questions, - undergo hearing & vision screenings, and - complete questionnaires about the hospital stay. The second part of this study is a clinical trial. Researchers will compare different hospital units to see if changing communication affects the number of patients with delirium. The main questions it aims to answer are: • Does sharing information about communication and/or providing hearing devices change the number of hospital patients with delirium? Participants in the study will be asked to complete delirium screenings and answer questions about their hearing and communication.
Delirium occurs in up to 20% of older adults presenting to the Emergency Department (ED) and is associated with poor outcomes. Failure to identify patients with ED delirium not only prevents initiation of mitigation strategies, but is also a barrier to advancing the field in terms of evaluating management and clinical outcomes. This project studies the potential of an ED Delirium Detection Program (ED-DDP), developed to address the need for consistent and accurate ED delirium detection. This research will have two objectives: - Aim 1 will conduct a pilot stepped wedge cluster randomized trial (SW-CRT) of the ED-DDP across 3 diverse EDs to determine preliminary efficacy of the detection training program, and - Aim 2 will use a mixed methods approach to assess RE-AIM implementation outcomes (Reach, Efficacy, Adoption, Implementation, and Maintenance) of the training program. Aim 1 will consist of a multicomponent 1-day delirium champion workshop where the training is delivered, real-time direct observation/training of champions via telehealth, practical training of nurses throughout each ED by champions, and patient chart review. In Aim 2, the investigators will assess implementation outcomes using training logs, tele-observation, interviews with champions and nurses, and electronic medical record screening. The overarching aim of this proposal is to determine the preliminary efficacy of the training program for improving ED delirium screening, detection, and management in older adults, while also evaluating implementation outcomes of the program for champions/nurses. The investigators will use findings from this study to inform a full-scale SW-CRT to evaluate the impact of the program on patient outcomes at Northwell Health. The long-term goal of this study is to implement and disseminate a comprehensive ED-DDP that will improve screening, detection, and management of ED delirium in older adults.
Delirium occurs in up to 20% of older adults presenting to the Emergency Department (ED) and is associated with poor outcomes. Failure to identify patients with ED delirium not only prevents initiation of mitigation strategies, but is also a barrier to advancing the field in terms of evaluating management and clinical outcomes. This project studies the potential of an ED Delirium Detection Program (ED-DDP), developed to address the need for consistent and accurate ED delirium detection. This research will have two objectives: - Aim 1 will conduct a pilot stepped wedge cluster randomized trial (SW-CRT) of the ED-DDP across 3 diverse EDs to determine preliminary efficacy of the detection training program, and - Aim 2 will use a mixed methods approach to assess RE-AIM implementation outcomes (Reach, Efficacy, Adoption, Implementation, and Maintenance) of the training program. Aim 1 will consist of a multicomponent 1-day delirium champion workshop where the training is delivered, real-time direct observation/training of champions via telehealth, practical training of nurses throughout each ED by champions, and patient chart review. In Aim 2, the investigators will assess implementation outcomes using training logs, tele-observation, interviews with champions and nurses, and electronic medical record screening. The overarching aim of this proposal is to determine the preliminary efficacy of the training program for improving ED delirium screening, detection, and management in older adults, while also evaluating implementation outcomes of the program for champions/nurses. The investigators will use findings from this study to inform a full-scale SW-CRT to evaluate the impact of the program on patient outcomes at Northwell Health. The long-term goal of this study is to implement and disseminate a comprehensive ED-DDP that will improve screening, detection, and management of ED delirium in older adults.
Delirium is a frequent reason for hospitalisation of the elderly. Associations between the prescription of some medicines and the risk of delirium have already been demonstrated. Antidepressants are widely prescribed in the elderly because of the frequency of anxiety-depressive symptoms in this population, where there are high pharmacokinetic and pharmacodynamic variability. However, the association between antidepressants and the risk of delirium remains poorly understood. Based on the analysis from the World Health Organization global database, the main objective of this study is to investigate the association between the different classes of antidepressants and the occurrence of the " delirium " event reported in the database. A disproportionality analysis will be performed. It will aim to assess whether some classes of antidepressants, and within these classes some molecules, are associated with a greater risk of delirium.
Postoperative delirium (POD) not only increases the length of hospitalization and intensive care unit stay and medical costs, but is also closely associated with negative prognosis, including postoperative mortality, increased morbidity, long-term cognitive decline after surgery, and impaired quality of life and independence. The preoperative risk assessment and early detection of POD are very important in the proper management of POD. This is because drug treatment that can prevent or treat POD is limited, and for its prevention and management, a multidisciplinary approach and resource management covering almost all aspects of patient management are required. Therefore, if there is a model that can predict the occurrence of POD, it can be of great help in managing delirium after cardiac surgery through more accurate risk assessment and early detection. In previous studies, aging and cognitive decline before surgery are known as major risk factors for POD, but identification of risk factors before surgery alone is insufficient to predict the occurrence of POD. Cardiac surgery is highly likely to cause pathophysiological changes that can cause POD, because it is associated with hemodynamic instability, cardiopulmonary use, changes in body temperature, and systemic inflammatory response. These pathophysiological changes can be reflected in the data (biosignals) obtained through various monitoring devices during anesthesia. Most of the events that occur during anesthesia are considered to be correctable risk factors of POD, unlike preoperative risk factors, and there is a potential to reduce the occurrence of POD by actively correcting them. Therefore, it is necessary to analyze the effect of these intraoperative biosignals on POD. In the delirium prediction model development process, rather than simply dividing the already collected data and using it in the model performance validation process, it is better to conduct model performance validation based on patient data prospectively collected to prevent overfitting and achieve higher predictive performance. Therefore, this study aims to collect prospective data to evaluate the performance of the delirium prediction model after cardiac surgery built using machine learning techniques based on the already collected data including biosignals during anesthesia. After reviewing the medical records from the day of surgery to the period of stay in the ICU, if the Intensive Care Delirium Screening Checklist (ICDSC) score is 6 or higher or there is a record of consultation with delirium, it is recorded as POD. After structuring the database through purification, standardization, outlier detection, and sampling of biosignal data generated during surgery, various variables obtained from medical records are collected to construct an evaluation dataset. Using this dataset, the performance of the delirium prediction model built by applying the machine learning algorithm is evaluated through Receiver Operating Characteristic curve analysis.
A follow up study of adult patients who have been treated in the ICU at Mölndal hospital due to Covid19 in the period of 2020 to 2022.
The purpose of this study is to test the effect of a twice daily, 60-minute, nurse initiated, music listening intervention on patients followed in the ICU with MV support as compared to patients who receive care as usual and ear plugs.
This research is planned as a randomized controlled experimental study to examine the effect of using eye mask and earplugs in preventing delirium with evidence-based nonpharmacological nursing interventions in intensive care units.