View clinical trials related to Risk.
Filter by:Patients who have an increased need for monitoring or therapy during their stay in hospital are typically admitted to an intensive care unit. This is characterized by a large number of diagnostic and therapeutic options. If this additional effort is no longer necessary, then typically in most hospitals patients are transferred to wards with a lower presence of nurses and physicians and reduced provision of extensive monitoring and therapeutic procedures such as organ replacement procedures. However, deintensification of medical and nursing care requires that previously monitored and partially supported bodily functions are restored to the point where further monitoring is no longer necessary. For this reason, transfer from an intensive care unit to the normal inpatient area is only possible if the patient in question has neither an increased need for monitoring nor an increased need for therapy. If this is not the case, then there is a risk of life-threatening conditions in the normal ward, which can sometimes occur very quickly. However, the need for further monitoring, or for continued intensive medical therapy, cannot be easily assessed. There is no laboratory value or clinical examination method that can be used to estimate beyond doubt whether a patient's condition could worsen if he or she is transferred to the normal ward. For this reason, the decision to transfer is made on the basis of the individual assessment by the attending physician. Although this is based on the synopsis of a wide variety of examinations and laboratory findings, it is therefore subject to large interindividual variations. Thus, the personal experience of the evaluating physician has a considerable influence on the decision for or against a transfer to the normal inpatient area. In this respect, the decision to deintensify therapy, i.e. to transfer patients from intensive care units to the normal care area, is challenging: The assessing physician has to make a prediction from the combination of the available findings under time pressure whether a transfer to the normal inpatient area is possible without endangering the patient. In this situation, it would be desirable to have an automated warning system that could describe the success of the transfer with sufficient accuracy in the presence of specific laboratory constellations. In the best case, such an approach would prevent dangerous transfers, but at the same time reduce unnecessary lengths of stay in the ICU. Machine learning methods seem particularly suited to support such a decision.
The present study will investigate the effect of artificially stiffening the aorta by means of an aortic stent on central aortic haemodynamics (CAH). This study will determine whether aortic stenting inadvertently adversely impacts on CAH, thereby providing the rational for subsequent therapeutic intervention to reduce the associated cardiovascular risk.
The purpose of this study is to investigate the organization of memory and develop future methods for early detection of AD. Using functional magnetic resonance imaging (fMRI), we examine the responsiveness of the brain to memory tasks, specifically focusing on regions of the brain (the mesial temporal lobe and posterior cingulate) that are known to be involved in early stages of Alzheimer's disease (AD). Of interest are differences in brain activation between people with and without a family history of AD and other risk factors.
The purpose of this study is to use fMRI techniques to explore a certain part of the brain associated with Alzheimer's disease known as the posterior cingulate. Determining the functionality of this brain region may help us diagnose AD more accurately, thus allowing earlier treatment.