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CSF biomarkers predict a more malignant outcome in Alzheimer disease.

By Å K Wallin, Kristina Blennow, H Zetterberg, Elisabet Londos, Lennart Minthon and Oskar Hansson

Abstract

OBJECTIVE: To investigate if patterns of CSF biomarkers (T-tau, P-tau, and Abeta42) can predict cognitive progression, outcome of cholinesterase inhibitor (ChEI) treatment, and mortality in Alzheimer disease (AD). METHODS: We included outpatients with AD (n = 151) from a prospective treatment study with ChEI. At baseline, patients underwent cognitive assessments and lumbar puncture. The patients were assessed longitudinally. The 5-year survival rate was evaluated. CSF-Abeta42, T-tau, and P-tau were analyzed at baseline. K-means cluster analysis including the 3 CSF biomarkers was carried out. RESULTS: Cluster 1 contained 87 patients with low levels of Abeta42 and relatively low levels of T-tau and P-tau. Cluster 2 contained 52 patients with low levels of Abeta42 and intermediate levels of T-tau and P-tau. Cluster 3 contained 12 patients with low levels of Abeta42 and very high levels of CSF T-tau and P-tau. There were no differences between the clusters regarding age, gender, years of education, baseline instrumental activities of daily living, or APOE genotype. Even though there was no difference between cluster 3 and the other clusters in disease duration or global rating, the patients in cluster 3 performed worse on cognitive tests already at baseline. Patients in cluster 3 exhibited a very poor outcome of ChEI treatment. Finally, cognition deteriorated faster over time and the mortality rate was substantially increased in cluster 3. CONCLUSION: A subgroup of patients with Alzheimer disease with extreme levels of CSF biomarkers exhibits worse clinical outcomes over time, including faster progression of cognitive deficits, no response to ChEI treatment, and a higher mortality

Topics: Neurology
Publisher: 'Ovid Technologies (Wolters Kluwer Health)'
Year: 2010
DOI identifier: 10.1212/WNL.0b013e3181dd4dd8
OAI identifier: oai:lup.lub.lu.se:d1e0d492-6cd0-4c8e-97d1-a9eece2219df
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