Active clinical trials for "Confusion"

The purpose of this study is to translate and validate the CAM-ICU for use in the Korean ICU setting.

TAVI has become a credible alternative to conventional cardiac surgery in aged high-risk patients with aortic valve stenosis. A large part of these procedures are performed with sedation using remifentanil target-controlled infusion plus local anesthesia. However, a significant proportion of the patients experience postoperative delirium, with subsequent worsened outcomes, time-consuming interventions, and increased costs. The use of hypnosis before and during TAVI could decrease the incidence of postoperative delirium thanks to less opioids and hypnotics consumption. Thus, the investigators ought to evaluate the potential advantages of hypnosis vs. remifentanil target controlled-infusion during TAVI procedures.

This study attempts to validate the Greek version of the CAM Diagnostic Algorithm and Nu-DESC in patients undergoing surgery under general anesthesia.

The proposed Study validates the accuracy of the modified Confusion Assessment Method for the Emergency Department

The investigators propose to explore the hypothesis that vibrotactile channels for indicating spatial orientation can be exploited as a sensory prosthesis. The specific research applications will be used for guiding visual orientation, to provide alternative feedback to vision and vestibular signals for controlling balance, and for directional and lateralisation cueing in patients with neglect syndromes. The programme will study whether vibrotactile feedback improves performance and also if it speeds rehabilitation when used as an adjunct to conventional therapy.

The investigators hypothesize that critical care trained registered nurses and physicians can perform measurements of cognitive impairment in critically ill pediatric patients in a reliable and valid manner. To test this hypothesis, the investigators will incorporate an instrument (psCAM-ICU) to assess both components of consciousness, arousal and content, in critically ill pediatric patients at least 6 months to children 5 years of age, both on and off mechanical ventilation, and compare these assessments to those of the reference standard.

The study intends to measure the evolution over time of the cognitive capacity of patients undergoing cataract surgery in relation to the opaque lens removal surgery (cataract) in a population considered to be at risk of neurocognitive degeneration. Secondary objectives: • Estimate the incidence of postoperative cognitive dysfunctions and any episodes of perioperative delirium with the aim of demonstrating the safety of cataract surgery in the elderly patient in terms of cognitive functions and impact on the psychological state. In the context of the study a risk sub-population analysis will be carried out, evaluating the trend over time of the "endothelial cells count" parameter The elderly population remains, due to the aging of the cornea, a population "at risk" for significant alterations from the clinical point of view. During the study the endothelial cells count will be monitored, in order to be able to evaluate the safety of the cataract surgery and to be able to correctly correlate a possible deterioration in the visual acuity of patients with corneal decompensation. To evaluate the progress of the endothelial cells count in the elderly patient during the pre-intervention and post-intervention period. Since the low values of cellular media in endothelial microscopy are an element that increases the risk of complications during cataract surgery, the study wants to assess how waiting times between filter visits and cataract surgery can cause an elderly patient worsening of this parameter even in a few months. The trend of the same parameter will be monitored even after the intervention since in case of decrease, the low endothelial count could cause an alteration of visual acuity and therefore a minor improvement in cognitive performance. The research will be set as a longitudinal observational study where will be compared in each patient the parameters analyzed in the 6 months prior to cataract surgery and in the 3 months following the operation itself. Patients will be enrolled during the first cataract filter visit, will be submitted to simple questions and their clinical data will be collected. Subsequently, before and after three months of surgery repeated cognitive testing and the control normally performed instrumental tests during follow-up. A clinical follow-up will be provided, during normal follow-up visits at 20 days and 6 months after the patient's surgery: the following information will be collected during these visits BCVA (visual acuity) endothelial cells microscopy OCT macula and optic nerve Catquest 9SF; Barthel Index; Six Item Cognitive Test Confusion Assessment Method (CAM): this exam will be performed within 24 hours of post-surgery and 20 days after surgery. It is important to underline that the cognitive tests proposed to patients consist of simple questions that do not depend on the visual ability of the subject.

The aim of the study is to investigate whether the effect of disorientation on physical motion and gait among dementia patients, can be reliably measured in a laboratory environment, by means of a virtual reality (VR) experimental setup.

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.

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.