Finding studies
Finding studies
Take this into the appointment.
Saves the questions and what to expect into your notes, next to the visit they belong to.
Lead
South Tees Hospitals NHS Foundation Trust
In recent years, the need for tests that reliably diagnose the early stages of Alzheimer's disease (AD) with high accuracy has been strongly emphasised. Detecting AD in its earliest stages increases the likelihood that therapeutic agents (e.g. newly-developed drugs) and interventions (e.g. changes in diet and exercise) can prolong the period of high-quality, independent living and reduce the impact on patients, families and care providers. An ideal test would have the sensitivity to detect everyone who has early-stage AD, while simultaneously not giving a 'false alarm' to anyone who shows some age-related impairments in cognition but who does not have early-stage AD. Secondly, an ideal test should be free and simple to administer on a national scale, without requiring extensive training on the part of the testers to set up, run, and interpret. Unfortunately, currently used tests do not come close to this ideal. There are some good biomarker-based tests for early stages of AD, but they are costly, highly invasive and in effect impossible to use for national screening purposes. MRI imaging of brain regions affected early in AD detects early AD no better than neuropsychological testing and whilst it is non-invasive, many patients find it aversive. Here, we propose to examine whether the use of spatial and episodic memory tests can get us nearer to this ideal, whether used singly, together, or in combination with other tests. The project has two stages. In stage 1, we will administer recently-developed spatial and episodic memory tests (along with more established neuropsychological tests) to patients who have recently been diagnosed with Mild Cognitive Impairment (MCI). At stage 2, clinical follow up (c.15-30 months after MCI diagnosis) we will establish those patients who have, and have not, progressed to AD. Analysis will then determine which tests at stage 1 best predicted progression-to-AD at stage 2.
Age
Any age
Sex
ALL
Healthy volunteers
Not accepted
