View clinical trials related to Delirium.
Filter by:The Hospital Elder Life Program (HELP) has been shown to reduce delirium in hospitalized patients. In this study a family caregiver will apply the principles of the HELP program in a structured manner following training by a nurse clinical specialist in geriatrics. The effect of this intervention in decreasing delirium in older patients treated in an acute orthopedic unit for fractured femur following a fall will be evaluated.
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.
This study is designed to determine and evaluate the optimal BXCL501 starting dose (StartD) that will safely and effectively reduce agitation associated with delirium in ICU patients. This is an ascending adaptive dose study evaluating the safety and efficacy of four potential starting doses of BXCL501 (120 μg, 180 μg, 240 μg, and 300 μg) in reducing agitation levels in adult ICU patients with delirium. For subjects 65 years of age and older, the potential doses will be reduced 50% in line with the Precedex (reference drug) label. The purpose of this clinical trial is to identify an optimally safe and effective BXCL501
This study is designed as a prospective interventional study to evaluate the CogMe system for early detection and prevention of delirium. The study will collect physiological and cognitive measurements to evaluate the ability of the CogMe system to predict and detect delirium and to aid the development of future delirium prevention methods.
The purpose of this study is to conduct a pilot trial to determine the feasibility, safety, and potential efficacy of targeting MAP within the limits of cerebral autoregulation during surgery compared with usual care.
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.
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.
Postoperative delirium is a common complication in clinical surgery. It has been reported that it can increase postoperative morbidity and mortality and lead to decreased functional and cognitive abilities. The aim of this study was to investigate the effect of ultrasound-guided bilateral rectus sheath blocks (RSB) on postoperative delirium in elderly patients undergoing laparoendoscopic single-site surgery (LESS) A double-blind, randomized controlled trial was conducted with 320 patients, aged 65-80 years, ASA I-III, who were scheduled to undergoing LESS in our hospital were selected, the patients divided into Group R and Group G by random number table method, with 160 patients in each group. Group R was subjected to a bilateral RSB under ultrasound guidance after general anesthesia, each side was given 0.5% ropivacaine 10 ml. Group G received simple general anesthesia. The mini-mental State Examination was used to assess all the patients' primary cognitive status one day before surgery. Perioperative variables were recorded to be compared. The investigators used the visual analog scale to assess patients' pain degree with postoperative, using confusion assessment method to assess whether patients experienced delirium.
Lumbar vertebra surgery is one of the most common surgical procedures.Delirium is common in geriatric patients after lumbar spinae surgery.postoperative delirium usually occurs in the early postoperative period and delays patient mobilization and thus lengthens hospital stay. The aim of this study was to investigate the effect of this field block on postoperative delirium in patients undergoing ESP with lomber vertebra surgery and with ultrasound guidance for postoperative analgesia.
To observe the effect of intraoperative dexmedetomidine on the incidence of postoperative delirium, postoperative analgesic drug requirements and pain scores in elderly patients undergoing robot-assisted pancreaticoduodenectomy.