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Clinical Trials/NCT01642420
NCT01642420
Unknown
Not Applicable

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.

Zealand University Hospital1 site in 1 country115 target enrollmentApril 2012

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Alzheimers Disease
Sponsor
Zealand University Hospital
Enrollment
115
Locations
1
Primary Endpoint
Conversion from Mild Cognitive Impairment to Alzheimers disease
Last Updated
13 years ago

Overview

Brief Summary

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.

Registry
clinicaltrials.gov
Start Date
April 2012
End Date
February 2017
Last Updated
13 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Malene Schjønning Nielsen

MD, PhD student

Zealand University Hospital

Eligibility Criteria

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

Outcomes

Primary Outcomes

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.

Study Sites (1)

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