Active clinical trials for "Cognitive Dysfunction"

Global dementia prevalence is rising. Alzheimer's disease (AD), the most common cause, has devastating effects on people's quality of life. AD has a preclinical (pre-AD) period of 10-20 years when brain pathology silently progresses before any cognitive symptoms appear. Current tests for pre-AD are invasive, costly and unsuitable for screening at population level. Similar to screening for pre-diabetes and carcinoma in situ, it is important to detect AD at the preclinical stage in order to offer early interventions before the pathology progresses to the irrerversible degenerative stage. In the study, research will develop a new scalable test (TAS Test) by combining two innovative ideas: hand-movement tests to detect pre-AD >10 years before cognitive symptoms begin; and computer vision so people can "self-test" online using home computers. This unique approach builds on recent discoveries that hand-movement patterns change in pre-AD. The research team will use exquisitely precise computer vision methods to automatically analyse movement data from thousands of participants, and combine this with machine learning of overall motor-cognitive performance. The project team has access to 3 well-phenotyped cohorts, >10,000 existing participants and a cutting-edge assay for a blood AD biomarker, ptau181. The research team will develop a TAS Test algorithm to classify hand-movement and cognitive test data for pre-AD risk (p-taua181 levels) and determine TAS Test's precision to prospectively predict 5-year risks of cognitive decline and AD.

This is a multi-center, randomized, double-blind, placebo-controlled, Phase IV trial to evaluate the efficacy and safety of Choline Alfoscerate compared to placebo in patients with degenerative mild cognitive impairment.

This study aims to determine sensitivity and specificity of the Confusion Assessment Method for Postanesthesia Care Unit (CAM-PACU) examine the effect of postanesthesia care unit delirium (PACU delirium) on the emergence of later onset postoperative delirium (POD) as well as cognitive recovery until one month postoperatively

Obstructive sleep apnea (OSA), which causes abnormal pauses in breathing during sleep, is common in patients with vascular cognitive impairment (VCI) and Alzheimer's disease (AD), and exacerbates the cognitive deficits seen in these conditions. OSA is typically treated with continuous positive airway pressure (CPAP), which has been shown to improve cognition in VCI and slow cognitive decline in AD. Despite the need to identify OSA in patients with VCI/AD, these patients often do not undergo testing for OSA. One major barrier is that in-laboratory polysomnography (iPSG), the current standard for diagnosing OSA, is inconvenient for patients with VCI/AD who may be reliant on others for care or require familiar sleep environments. A convenient and cheaper alternative to iPSG is home sleep apnea testing (HSAT), which has been validated against iPSG to diagnose OSA and has proven feasible for use in VCI/AD. Our primary objective is to determine whether the use of HSAT is superior to iPSG in terms of the proportion of patients who complete sleep testing by 6 months post-randomization. We will also investigate cost-effectiveness, patient satisfaction, proportion of patients treated with CPAP, changes in cognition, mood, sleep-related and functional outcomes between HSAT and iPSG at 6 months.

Improving the diagnosis of neurocognitive disorders is a major public health challenge. This diagnosis occurs too late in the majority of cases, or is even sometimes non-existent for some despite the presence of clinical signs and symptoms. However, the etiological diagnosis of a TNC is crucial for the patient and his family to understand the most appropriate decisions for the future, to plan the organization of his life as long as he is able to do so, to access the clinical research, to promote dialogue between patients and their caregivers. On the contrary, a late diagnosis may be responsible for the fact that the patient and his / her family are less able to benefit from certain psychosocial interventions, services and treatments. But the diagnostic announcement is retained. One of the negative and dreaded effects of such an announcement is the negative psychological impact. Some studies show that the diagnostic announcement would worsen the level of anxiety or depressed mood and the risk of social isolation. On the other hand, other studies show that symptoms such as anxiety, psychic distress and depression remain stable, or even decrease slightly after the announcement of the diagnosis, in patients and their relatives. However, the literature is questionable because the majority of the studies are retrospective, mono-centric, and the patient numbers are low. While the first reactions of patients may be negative after the announcement, some report resignation experiences, or form of relief, because they have finally found a clinical explanation for the symptoms encountered. While doubt or diagnostic uncertainty, as well as the feeling of not knowing the truth, seem to have a more damaging psychological impact on the patient and those around him, increasing anxiety and confusion. The primary objective is to study if the level of anxiety 2 months after the announcement of the diagnosis of Alzheimer's disease or a related disease is not superior to the level of anxiety before the announcement with patient / caregiver. This present study aim to explore the feasibility with 14 patients.

Hypertension is the major risk factor for vascular cognitive impairment (VCI). One of the main limitations in the clinical approach to VCI is that, by the time that it is manifested, it might be too late to reverse the neurodegenerative process. Thus, early identification of predictive signs of later dementia is demanding for management of hypertensive patients (HT).This aim claims for new methods that compute in a cloud all possible data sources coming from patients (brain imaging, cognitive profile, clinical data), to extract discriminative aggregate biomarkers. Thus, this study aims at: 1) characterizing the predictive potential of an aggregate biomarker for dementia in HT, based on brain imaging, clinical and cognitive assessment; 2) evaluating the impact of blood pressure variability, besides systolic/diastolic blood pressure, on the progression of the aggregate biomarker; 3) assessing whether specific classes of antihypertensive drugs differently affect the progression of the aggregate biomarker. In order to do this, this study proposes to evaluate advanced brain imaging and cognitive profile in a cohort of hypertensive patients, at baseline and after a 1 year follow up, to identify an innovative signature for the development of cognitive dysfunction in hypertension. In particular, the effects of blood pressure variability and of different classes of antihypertensive drugs will be evaluated.

Objectives: First, to determine if patients with a history of AF have acute measurable changes in cognitive functioning while in an episode of AF. Second, to collect basic insight into what specific physiologic (blood pressure, pulse oximetry, heart rate, temperature) and pharmacologic (antiarrhythmic medications, rate control medications, anticoagulants, antiplatelet medications, etc.) factors minimize the neurological impact on patients while they are in AF. It is hypothesized that when using a tablet-based cognitive testing software - Cambridge Cognition (specifically to assess executive function, learning and working memory: Rapid Visual Information Processing test, Spatial Working Memory/Spatial Span Task tests, One touch Stockings of Cambridge test, Cambridge Gambling Task, Multitasking Test/Intra-Extra Dimensional Set shift tests) - a significant difference will be noted between how the patients perform while in atrial fibrillation compared to the patients' performance while in normal sinus rhythm.

The Atlas of Retinal Imaging in Alzheimer's (ARIAS) study is a 5-year study examining the natural history of retinal imaging biomarkers associated with disease risk, disease burden, and disease progression in Alzheimer's disease (AD). The objective of this project is to create a 'gold standard' reference database of structural anatomic and functional imaging of the retina, in order to enable the identification and development of both sensitive and reliable markers of AD risk and/or progression. Our ultimate goal is to develop a new screening protocol that identifies changes related to AD 10-20 years before AD is clinically visible.

Electrical activity in the brain known as "gamma" brainwaves help connect and process information throughout the brain. These gamma waves are diminished in Alzheimer's disease. New research in Alzheimer's disease mouse models shows that exposure to light flickering at the rate of 40 flashes per second or 40Hz increased gamma brainwaves and led to clearing of beta amyloid plaques in the brain, a key abnormality in Alzheimer's disease. This project will test the ability of a novel iPad App (AlzLife https://www.alz.life/) that delivers light therapy at 40 Hz combined with cognitive therapy to improve cognition, function, and quality of life in Alzheimer's disease.

This is a prospective observational follow-up study of children enrolled in a single center randomized controlled trial (REDvent). Nearly 50% of adult Acute Respiratory Distress Syndrome (ARDS) survivors are left with significant abnormalities in pulmonary, physical, neurocognitive function and Health Related Quality of Life (HRQL) which may persist for years.Data in pediatric ARDS (PARDS) survivors is limited. More importantly, there are no data identifying potentially modifiable factors during ICU care which are associated with long term impairments, which may include medication choices, or complications from mechanical ventilator (MV) management in the ICU including ventilator induced lung injury (VILI) or ventilator induced diaphragm dysfunction (VIDD). The Real-time effort driven ventilator (REDvent) trial is testing a ventialtor management algorithm which may prevent VIDD and VILI. VIDD and VILI have strong biologic plausibility to affect the post-ICU health of children with likely sustained effects on lung repair and muscle strength. Moreover, common medication choices (i.e. neuromuscular blockade, corticosteroids) or other complications in the ICU (i.e. delirium) are likely to have independent effects on the long term health of these children. This proposed study will obtain serial follow-up of subjects enrolled in REDvent (intervention and control patients). The central hypothesis is that preventing VIDD, VILI and shortening time on MV will have a measureable impact on longer term function by mitigating abnormalities in pulmonary function (PFTs), neurocognitive function and emotional health, functional status and HRQL after hospital discharge for children with PARDS. For all domains, the investigators will determine the frequency, severity and trajectory of recovery of abnormalities amongst PARDS survivors after ICU discharge, identify risk factors for their development, and determine if they are prevented by REDvent. They will leverage the detailed and study specific respiratory physiology data being obtained in REDvent, and use a variety of multi-variable models for comprehensive analysis. Completion of this study will enable the investigators to identify ICU related therapies associated with poor long term outcome, and determine whether they can be mitigated by REDvent.