Screening of Susceptibility Genes in Postoperative Cognitive Dysfunction(POCD)
Cardiac Surgery PatientsThe aim of this study is to perform a whole-genome linkage analysis for identification of the susceptibility loci for POCD
Can we Predict Chronic Homelessness?
Cognitive ImpairmentHomeless men and women suffer more illness and sooner death compared to housed people. Among the homeless, there is a group that suffers more illness than others. This group is usually homeless for several months, makes up a smaller proportion of homeless people and uses more resources from emergency shelters than other homeless people. Some have asked if a difference in thinking skills explains how people who are homeless for a long time need more help in getting and keeping housing compared to other homeless persons. In this study, thinking skills that help a person plan and make decisions will be screened among those who have been homeless for a long time and those who were homeless for a short time. If there is a difference, then screening may change how future homeless people get the help they need.
Cardiovascular Risk in People Older Than 55 Years and Cognitive Performance at 5 Years
Risk FactorCardiovascular1 moreThis study assesses whether people's cardiovascular risk influences cognitive performance in later years. To do this, the cardiovascular risk and cognitive performance of each patient will be evaluated at the beginning of the study and 5 years later.
The Influence of Cognitive Decline on Quality of Life After Coronary Bypass
Coronary Artery BypassCognitive DysfunctionDuring the last decades improvements in operative techniques and perioperative care have led to a steady decline in mortality after cardiac surgery. Good survival rates have been shown repeatedly although elderly patients have an increased risk for prolonged hospital stay and postoperative complications such as neurological and pulmonary problems. Post-operative cognitive decline (POCD) is common after cardiac surgery and although this cognitive decline can be subtle, in elderly vulnerable patients even a small decline can have important consequences such as a decreased quality of life and loss of independence. Recent studies among patients after coronary artery bypass grafting (CABG) found that the incidence of POCD varied between 30-60% depending on cognitive tests, time of assessment and patient populations. Cognitive and physical impairment frequently co-occur in older people. The association between cognitive impairment and functional disability has been investigated in several studies, which demonstrated that cognitive decline is associated with functional disability, also after cardiac surgery. One method for estimation of patients' physical performance is to evaluate sarcopenia. Sarcopenia is defined as a syndrome characterised by progressive and generalised loss of skeletal muscle mass and strength, leading to an increased risk of adverse outcomes such as physical disability, poor quality of life and death. Data on the prevalence of sarcopenia in community-dwelling residents or nursing-homes are widely available, but little is known on (elderly) hospitalized patients after cardiac surgery. The aim of this study is to evaluate the association between post-operative cognitive decline, quality of life (QoL) and sarcopenia in adult patients after coronary artery bypass grafting. The investigators hypothesize that a decreased postoperative QoL is mainly explained by POCD, therefore the primary research question of this study is: What is the influence of post-operative cognitive decline on QoL after CABG? The secondary research question is: Is there an association between postoperative sarcopenia and a decreased postoperative QoL?
Dementia Patient's Behavior Evaluation Using Noninvasive Ambient Sensor
Mild Cognitive ImpairmentDementiaThis study is an observational study that uses daily activity and environmental sensing techniques to establish behavioral models of early dementia patients and cognitive healthy function to assess their daily behavior and determine their activities. Specifically, the team will collect information on a number of wireless sensors for dementia, mild cognitive impairment and healthy elderly residents, and use special mathematical models to establish the behavior of the two groups of subjects Model. The model will be developed a reliable algorithm to assess health risk of the subjects.
Biomarkers in Cerebrospinal Fluid in Critical Care Patients With Delirium
DeliriumCognitive DysfunctionCritical care patients are at a high risk of developing delirium and impaired cognitive function 3 and 12 months after their ICU stay. In this study the aim is to try to elucidate the pathophysiology behind delirium in the ICU and subsequent development of cognitive dysfunction in ICU survivors. Biomarkers in cerebrospinal fluid (CSF) will be analysed in patients with and without delirium in the ICU. Samples will also be taken 3 and 12 months after the ICU-stay. CSF will also be obtained in healthy age- and sexmatched controls undergoing surgery.
Mild Cognitive Impairment, Use of qEEG as a Prognostic Marker
Mild Cognitive ImpairmentMulti center study of six Memory Clinics in four Nordic countries in validating a prognostic diagnostic investigation of qEEG in Mild Cognitive Impairment (MCI). The study is in two parts, the first one is a follow up of a previous study conducted in 2011-2013 and the second half is new recruitment with two years follow up. End points are diagnosis of a dementing disorder, primarily dementia of Alzheimer´s type.
The Role of Ophthalmologic Tests and EEG Imaging in Alzheimer's Disease
Mild Cognitive ImpairmentAlzheimer's disease (AD) is a prevalent, long-term progressive degenerative disorder with great social impact. It is currently thought that, in addition to neurodegeneration, vascular changes also play a role in the pathophysiology of the disease. Meantime, EEG resting state has also demonstrated significant change in patients with AD in neuroscience research area. Thus, the combination of these sensitive biomarkers would lead to a potential new biomarker for detection of AD, which has higher specificity and sensitivity.
Long-term Neurocognitive and Psychiatric Consequences in Severe COVID-19 Survivors.
Covid19Neurocognitive DysfunctionLong-term neurocognitive and psychiatric consequences of COVID-19 remain mostly unknown to date. It has been reported that coronaviruses cause direct central nervous system infection (Needham et al. 2020). Besides that, new or worsening cognitive impairment commonly occurs and persists in survivors of intensive care unit (ICU) stay (Hosey & Needham. 2020). The purpose of our study is to search and describe the cognitive and psychiatric long-term consequences of COVID-19 on patients who have been discharged from critical care units. This is an ambidirectional cohort study, that attempts to follow adults discharged from critical Care Units Adults due to COVID-19 up to 12 months after discharge, to evaluate the presence of cognitive impairment, linguistic and phonation function, depression, fatigue, functional gastroenterological symptoms, anxiety, or post traumatic disorder, and performance in activities of daily living and physical response to exercise as well.
Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech...
Alzheimer DiseasePreclinical Alzheimer's Disease3 moreThe primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, based on archival spoken or written language samples, as measured by the AUC of the receiver operating characteristic curve of the binary classifier distinguishing between amyloid positive and amyloid negative arms. Secondary objectives include (1) evaluating how many years before diagnosis of MCI such algorithms work, as measured on binary classifier performance of the classifiers trained to classify MCI vs cognitively normal (CN) arms using archival material from the following time bins before MCI diagnosis: 0-5 years, 5-10 years, 10-15 years, 15-20 years, 20-25 years; (2) evaluating at what age such algorithms can detect later amyloid positivity, as measured on binary classifier performance of the classifiers trained to classify amyloid positive vs amyloid negative arms using archival material from the following age bins: younger than 50, 50-55, 55-60, 65-70, 70-75 years old.