Non-expensive and Widely Available Tests as Diagnostic Tools in Dementia and Their Ability to Predict Disease Progression (DEMPROG)

September 12, 2012 updated by: Malene Schjønning Nielsen, Zealand University Hospital

Quantitative Electroencephalography, Cerebrospinal Fluid Biomarkers, Linear CT Analyses and Timed Up and GO Dual Task as Diagnostic Tools in Dementia and Their Ability to Predict Disease Progression.

Alzheimers disease (AD) is the most common course of cognitive decline and thereby the course of more than half of all cases of dementia. A proper AD diagnosis is rested on a number of examinations and tests, which combined can make AD diagnosis likely. But no single test or examination can unambiguous determine whether the patient has AD or not. Comparatively no examination or test can with accuracy predict whether a healthy person or a person with only mild cognitive (MCI)impairment in time will evolve AD.

Quantitative Electroencephalography (qEEG), cerebrospinal fluid (CSF) biomarkers, linear CT analyses and Timed Up and Go - Dual Task (TUG-DT) are relatively inexpensive and and widely available diagnostic methods, which have the potential to diagnose AD at an early stage in a reliable accurate way. But they also have the potential to predict which patients diagnosed with MCI have particular risk of developing dementia.

The purpose of the study is to investigate the relations between qEEG, CSF biomarkers, CT analyses and TUG-DT outcome and clinical features in healthy persons as well as patients with MCI and AD Furthermore to investigate whether qEEG or CSF biomarkers can predict which patients with MCI will in time evolve AD.

Study Overview

Status

Unknown

Study Type

Observational

Enrollment (Anticipated)

115

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Roskilde, Denmark, 4000
        • Recruiting
        • Neurologisk Afd, Roskilde Sygehus
        • Principal Investigator:
          • Malene S Nielsen, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

50 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with MCI and AD will be recruitted among consectutively refered patients in a memory clinic. Participation is voluntary Healthy control persons will be recuitted by posters and notices

Description

Inclusion Criteria:

For patients:

  • age 50 to 90
  • diagnosed with MCI or AD
  • cerebrospinal fluid examination and EEG performed at baseline

For control persons:

  • age 50 to 90
  • MMSE score equal or above 26
  • ACE score equal or above 85
  • Normal physical examination, including normal blood samples, CT of cerebrum and EEG examination

Exclusion Criteria:

  • Pregnant or breastfeeding
  • psychiatric disease, former depression is allowed if antidepressive treatment has been initiated of a leat 3 months duration
  • Neurologic or somatic disease, including former severe head trauma or neuroinfection
  • Antipsychotic treatment
  • Former severe abuse of alcohol, medication or drugs
  • ECT treatment or anaesthesia within the last 3 months
  • no closely related person to assist the patient

Additionally exclusion criteria for healthy control persons:

  • meet the diagnostic criteria for MCI or AD

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Mild cognitive impairment
Patients diagnosed with mild cognitive impairment
Alzheimers disease
Patients diagnosed with mild Alzheimers disease
Healthy control persons
Age matched healthy persons

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Conversion from Mild Cognitive Impairment to Alzheimers disease
Time Frame: Every year in totally of 3 years
The primary outcome measure is progression of clinical symptoms to an extent where the formal NINCDS-ADRDA criteria for dementia is meet. The progression is based upon clinical symptoms as well as explorative determinants in form of clinical tests, CSF analysis and qEEG analysis.
Every year in totally of 3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Malene S Nielsen, MD, Roskilde Hospital, Department of Neurology

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

April 1, 2012

Primary Completion (Anticipated)

February 1, 2017

Study Completion (Anticipated)

February 1, 2017

Study Registration Dates

First Submitted

April 13, 2012

First Submitted That Met QC Criteria

July 16, 2012

First Posted (Estimate)

July 17, 2012

Study Record Updates

Last Update Posted (Estimate)

September 13, 2012

Last Update Submitted That Met QC Criteria

September 12, 2012

Last Verified

September 1, 2012

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Mild Cognitive Impairment

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