View clinical trials related to Confusion.
Filter by:This study is being done to assess the feasibility of administrating Δ9-THC and Δ8-THC isolates and simultaneously adopting several data harmonization measures to generate uniquely translatable data. This project aims to (1) evaluate the feasibility and acceptability of administering ∆9-THC and Δ8-THC isolates using standardized cannabis dosing units to quantify ∆9-THC and Δ8-THC pharmacokinetics; and (2) evaluate the feasibility and acceptability of adopting standardized impairment detection methods and driving performance definitions and measures on quantifying ∆9-THC and Δ8-THC driving impairment compared to a placebo.
Determining the efficacy of the BIS monitor in monitoring deep hypnotic states as well as intra- and post-operative outcomes in neurosurgery patients
The aim of this study is to determine the effects of the use of a simple, reliable and cost-effective puzzle on post-operative cognitive function changes, postoperative recovery, and quality of life using questionnaires and face-to-face interview techniques.
The goal of this randomized, double blinded study is to examine in children whether postoperative agitation can be reduced. The main question it aims to answer is Will optimized, monitor guided analgesic treatment and dexmedetomidine reduce postoperative agitation Participants will receive a standard anaesthesia regimen and on top of that, a titrable remifentanil infusion guided via Mdoloris Anastasia nociception index (ANI) monitor will be added. Additionally, the patients will receive either bolus placebo or bolus dexmedetomidine. The postoperative agitation measured via the Richmond agitation and sedation scale (RASS) score, will be compared. Secondary outcome measures including carbon dioxide trends will be made.
As the population of older adults increases, so too with the number of older adult patients that present for anesthesia and surgery. The development of delirium following surgery has some significant potential effects on patient outcomes; however, POD is often under diagnosed. Some studies reported that more than 50% of patients with delirium were undiagnosed by clinical teams. POD is associated with cognitive decline, increased hospital length of stay, discharge to institutional care, mortality and higher healthcare costs. POD contributes significantly to healthcare inefficiency; a diagnosis of POD is estimated by the Australian Commission on Quality and Safety in Healthcare to cost an additional $27,791 AUD. The incidence of POD reported in clinical trials depends on the risk profile of the study population, the frequency and duration of delirium assessments as well as the surgical procedure. Reported incidence may also vary due to the presence of high-risk pathways involving multi-specialty management and intervention. POD may present as either hyperactive or hypoactive subtypes, the latter being more difficult to detect. There are few reports on the incidence of POD in New Zealand national level datasets, with single centre studies primarily looking at in-hospital delirium and demonstrating an incidence of 11.2 to 29% on mixed and/or medical wards. A review of elderly patients with neck-of-femur fractures found the incidences of POD to be as high as 39%. The current data suggests a significant level of morbidity due to POD in New Zealand hospitals, however there is lack of national level data in the surgical population; which is crucial for establishing demographic and regional need for effective intervention.
Delirium is defined as an acute change in mental status characterized by fluctuating disturbances of consciousness, attention, cognition, and perception, usually secondary to acute injuries such as trauma or infections. Delirium is more frequent in older adults, and is associated with important poor clinical outcomes including increased mortality, functional deterioration, and higher expenditures for healthcare systems. Although it is not the only one responsible, the inflammatory response plays a key role in the development of delirium. From the first descriptions of the condition 2500 years ago, it is known that patients who present with inflammatory injuries such as trauma (pe. hip fracture) or infections (sepsis), frequently develop delirium. Microglia, are an inflammatory cell with phagocytic capacity, that inhabit the nervous system and have a critical role in the regulation of the inflammatory response in the brain. It is known that microglia have receptors that respond to systemic inflammatory mediators by generating new inflammatory mediators that exert their effect on other glial cells and neurons in the central nervous system, affecting their function. Mouse models have shown that depleting the brain of microglia prevents cognitive decline after a traumatic bone injury, suggesting a role of these cells in the development of delirium. Poly(ADP-ribose) polymerase-1 (PARP-1) is a nuclear enzyme that participates in DNA repair, and in the regulation of the expression of inflammatory mediators by immune cell. In vitro experiments have shown that PARP-1 enhances the microglial response to inflammation, and data from mice exposed to the bacterial component "lipo-poly-saccharide (LPS)", a classical model of delirium, showed that pharmacological inhibition of PARP-1 prevents cognitive decline secondary to that injury. Interestingly, nicotinamide, a vitamin widely available in the market, with a well-known safety profile in humans, is a well-recognized inhibitor of PARP-1. The role of PARP-1 nor nicotinamide in delirium has never been explored. Considering that, 1) there is evidence showing that PARP-1 may act as an enhancer of the inflammatory response of microglia and 2) the protective effect against cognitive impairment produced by pharmacological inhibition of PARP-1 in a mice model of delirium, we propose as hypothesis that PARP-1 participates in delirium pathogenesis by enhancing microglial activation in response to systemic inflammation. To address this hypothesis in patients, we propose to determine in a randomized clinical trial whether nicotinamide, a pharmacological inhibitor of PARP-1, is more effective than placebo for the prevention of delirium in older adults with requirement of oxygen (non-invasive) and suspected coronavirus disease (COVID-19) under study. The results of this research will contribute significantly in the field of delirium, improving the knowledge of its physiopathology, as well with the development of of new alternatives for its prevention in clinical practice.
Respiratory end-tidal gas control is a fundamental of anesthetic management. The range of end-tidal (ET) O2 and CO2 during the conduct of anesthesia is far outside that found in the awake state. Recent work has indicated that alterations in end-tidal gases may influence the incidence of postoperative delirium (POD). This study will examine the feasibility of tight end-tidal gas control during anesthesia to decrease the incidence of POD.
Currently physicians and nurses rely on their own clinical skills and experience to diagnose and record 'delirium' in the Electronic Health Records (EHR). This study aims to determine how delirium as a diagnosis is documented by clinicians in the EHR at Hadassah Hospital. The knowledge gained from this study will support the design of a better surveillance approach to monitoring delirium events in postoperative patients using electronic healthcare recorded data. There is considerable uncertainty surrounding the quality of 'delirium' records in the Electronic Health Records (EHR). The reliability of this chart estimation has become questionable in the absence of an objective definition of 'delirium' and a lack of highly accurate diagnostic tools in the hospital setting. Given the difficulty of accurately identifying delirium and the deficiency in the quality of EHR documentation, it is not surprising that delirium is grossly underestimated, undertreated, not properly recorded in the EHR or misreported. Data concordance plays a major role in documentation quality, especially for data-mining and knowledge extraction analysis, and therefore it is essential to address the reliability of 'delirium' labeled data within the EHR system.
A CVA occurs when there is a sudden interruption of blood supply to the brain. Fast identification of CVA is crucial in order to refer the patient to an appropriate medical center as well as to direct him/her to a suitable treatment upon arrival to the Medical Center, in order to minimize the permanent damage to the brain. In this study, we are evaluating a tool for detecting CVA based on EEG (electroencephalograph) data analysis using innovative algorithm. The system is comprised of four electrodes, reference electrode and earphones for auditory stimulation. In the study, 120 patients arriving to the emergency room with decreased consciousness, severe headaches or dizziness will be monitored for five-minute each, with EEG accompanied with auditory stimulation. The EEG analysis will be performed based on the synchronization of the front and back hemispheres. During CVA, specific hemisphere is damaged, therefore desynchronization is expected. The purpose of this study is to develop a tool for identifying CVA in patients who have no clear CVA related signs.
The purpose of this study is to determinate if the patients submitted to laparoscopic surgery in trendelemburg position develope more inadequate anaesthesic emergence than patients submitted to laparoscopic surgery in other positions.