View clinical trials related to Delirium.
Filter by:The objective of this project is to create deep learning and machine learning models capable of recognizing patient visual cues, including facial expressions such as pain and functional activity. Many important details related to the visual assessment of patients, such as facial expressions like pain, head and extremity movements, posture, and mobility are captured sporadically by overburdened nurses or are not captured at all. Consequently, these important visual cues, although associated with critical indices, such as physical functioning, pain, and impending clinical deterioration, often cannot be incorporated into clinical status. The study team will develop a sensing system to recognize facial and body movements as patient visual cues. As part of a secondary evaluation method the study team will assess the models ability to detect delirium.
Falls are one of the most common NHS adverse events. With an increasing number of frail elderly patients being admitted this risk is likely to increase. In order to be able to assist patients with bed exit in a timely manner monitoring might be of help. In ZeroFall we will test the reliability of monitoring devices to notify care givers if a patient is attempting to exit the bed.
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.
The investigators aim to identify preoperative Electroencephalogram (EEG) markers indicating patients at risk to develop postoperative delirium (POD), so that the anesthetist may adjust medications and dosages in order to avoid POD. Second, the investigators aim to specify intraoperative EEG signatures and EEG states that are related to POD and long-term cognitive dysfunction, again to enable physicians to adapt their procedure. Third, the investigators aim to identify EEG signatures during stay in the recovery room that is directly related to POD, and may therefore be used as diagnostic tool, as well as a predictor for the development of long-term cognitive deficits (POCD).
The cessation of alcohol consumption of people suffering from alcohol abuse frequently leads to the development of an alcohol withdrawal syndrome (AWS). The ethylic suppression syndrome is defined as the appearance of two or more data of autonomic hyperactivity, nausea, hallucinations and seizures associated with the cessation of alcohol consumption. For its evaluation, the CIWA-Ar scale is used, which guides the treatment based on benzodiazepines but with many adverse effects, so sedatives have been tried, among them dexmedetomidine, an alpha-agonist with action in the locus caeruleus, with variable results. Objectives: The investigators aimed to compare the DEX vs. Diazepam, for moderate disease, applying the CIWA-Ar scale, in participants with severe to moderate AWS. Methodology: 40 participants with CIWA-Ar greater than 10 points, the investigators are collected and randomized into two groups: one under treatment with diazepam (Group Diazepam) and another with dexmedetomidine (Group Dexmedetomidine), until the CIWA-Ar was reduced to less than 10, and adverse effects the investigators also reported. The analysis was done with student t. Results: The average duration of treatment with diazepam was 5.5 days (IC 95 = 6.6-3.8), the average duration of treatment with dexmedetomidine was 3.1 days (95% CI = 4.5-1.7), with a significant difference ( p = 0.0016). In the group with diazepam 60% presented adverse effects and in the group with dexmedetomidine 25% presented them, with a significant difference (p = 0.04). Conclusion: dexmedetomidine was superior to diazepam for the treatment of moderate-severe alcohol withdrawal with fewer adverse effects. KEY WORDS: Alcohol dependence · Alcohol withdrawal syndrome · Dexmedetomidine · Diazepam · Benzodiazepines
This study intends to evaluate the relationship between urinary albumin/creatinine ratio and postoperative neurocognitive impairment in elderly non-cardiac surgery patients. The results of the study are to identify risk factors, screen high-risk populations to improve clinical evidence, early detection and early treatment.And reducing the burden of PNCD on patients and their families, hospitals and public resources.
The goal of this clinical trial is to investigate the effectiveness of sedation guided by the bispectral index (BIS) in reducing the incidence of delirium and the doses of sedative drugs used in critical patients who require deep sedation. The main questions this study aims to answer are: - Does sedation guided by BIS lead to higher delirium and coma-free days compared to clinical monitoring? - Does sedation guided by BIS result in reduced doses of sedative drugs compared to clinical monitoring? Participants in this study will be randomly assigned to one of two groups: Clinical Monitoring Group: Participants in this group will receive sedation based on clinical scales. These participants will also be fitted with a BIS sensor, but the sensor will be covered. Sedation Guided by BIS Group: Participants in this group will receive sedation guided by the bispectral index. The study will be conducted as a prospective, controlled, blind intervention trial with random distribution and intention to treat. The primary outcomes to be evaluated include: - Delirium and coma-free days after the end of deep sedation using the Confusion Assessment Method for the ICU (CAM-ICU) scale. - Total dose of sedative drugs administered. - BIS values Researchers will compare the two groups to determine if sedation guided by BIS is associated with a higher number of delirium and coma-free days, reduced sedative drug doses, and higher values of BIS compared to clinical monitoring.
Through NINR project 1R44NR017842-01 which preceded the present study, the investigators enhanced the care.coach avatar platform to incorporate a robust suite of evidence-based protocols based on the Hospital Elder Life Program (HELP), and to leverage an integration with hospital-based electronic medical record (EMR) systems. In the present study, the investigators seek to validate the efficacy of the new avatar platform, as measured by reduction in falls, delirium, and patient sitter utilization. Also, the investigators seek to gather patient and outcomes data at a scale sufficient to begin developing machine learning algorithms for intelligent, automatic assignment of protocols to maximize patient engagement and clinical efficacy, and for intelligent, automatic screening of delirium to assist care teams in positive identification of delirium. Therefore, the present study comprises a two-year randomized between-groups comparison across multiple hospitals to compare outcomes with the new generation of care.coach avatars as the intervention versus usual care only as the control. Each study group will be geographically distributed across participating research sites: initially MediSys Health Network's Jamaica Hospital Medical Center in New York, with additional hospitals to join the study over the course of two years.
Objectives: 1. To examine whether patients with delirium have higher prevalence of cytochrome-P450 abnormalities compared to patients without delirium. 2. To examine whether the severity of delirium is related to a specific cytochrome P450 genotype. 3. To examine the persistence of delirium at 6-8 weeks stratified by presence of cytochrome p450 abnormalities 4. To examine whether delirium persistence is impacted by types of medications administered during their hospital stay.
Subsyndromal delirium (SSD) is a condition characterized by a less severe cognitive impairment in comparison to delirium. To date there is no published consensus on SSD definitions and has been commonly reported as an intermediate stage between delirium and normal mental states. SSD encompasses some of the delirium symptoms, and has been diagnosed with Intensive Care Delirium Screening Checklist scale (ICDSC) and Confusion Assessment Method-ICU (CAM-ICU). The objective of this study is to identify subsyndromal delirium prevalence, the association between SSD and clinical outcomes and understanding the relationship between SSD and conversion to delirium. The relevance of this study is understanding of subsyndromal delirium in ICU, namely the importance of early presentations of acute brain dysfunction in the patients outcome.