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Table of Contents
Vol. 19, No. 5-6, 2005
Issue release date: May 2005
Section title: Original Research Article
Dement Geriatr Cogn Disord 2005;19:289–298

Evaluation of Factors of Importance for Clinical Dementia Diagnosis

Nägga K.a · Garcia J.a, b · Zetterberg H.c · Blennow K.c, d · Gottfries J.e · Marcusson J.a
aDepartment of Geriatric Medicine, Linköping University Hospital and bClinical Research Centre, Linköping University, Linköping; cDepartment of Clinical Neuroscience, Section of Experimental Neuroscience, University of Göteborg, Sahlgrenska University Hospital, Mölndal; dThe Medical Research Council, and eMedicinal Chemistry, AstraZeneca R&D, Mölndal, Sweden
email Corresponding Author

Katarina Nägga, MD

Department of Geriatric Medicine

Linköping University Hospital

SE–58185 Linköping (Sweden)

Tel. +46 13 224093, Fax +46 13 227389, E-Mail Katarina.Nagga@lio.se

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Diagnosing clinical dementia is based on an assessment of different variables, such as the patient’s medical history, known risk factors, and biochemical features. Partial least squares discriminant analysis was used to evaluate variables of importance for diagnosing dementia in a clinical dementia population. Polymorphism for genotypes of glutathione S-transferase (GST) and sulfotransferase 1A1, hypothetically of importance in dementia disorders, was also included in the analysis. The study population consisted of 73 patients with Alzheimer’s disease (AD), 14 with mixed dementia, 75 patients with vascular dementia, and 28 control cases. We found that several of the variables, such as the presence of ApoE4 allele, high cerebrospinal fluid levels of total tau protein, low levels of β-amyloid(1–42), and a low score on the Mini-Mental State Examination, facilitated a discrimination between the diagnoses compared with the controls. The different diagnoses overlapped. There were indications that genotypes of GSTs contributed to a subgrouping within AD.

© 2005 S. Karger AG, Basel

Article / Publication Details

First-Page Preview
Abstract of Original Research Article

Received: November 01, 2004
Published online: April 29, 2005
Issue release date: May 2005

Number of Print Pages: 10
Number of Figures: 3
Number of Tables: 1

ISSN: 1420-8008 (Print)
eISSN: 1421-9824 (Online)

For additional information: http://www.karger.com/DEM

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