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CSF neurofilament light differs in neurodegenerative diseases and predicts severity and survival

Authors :
Kaj Blennow
Dorota Religa
Tobias Skillbäck
Katarina Nägga
Lars Rosengren
Maria Eriksdotter
Bahman Farahmand
Anders Wimo
Henrik Zetterberg
Christoffer Rosén
Jonathan M. Schott
Niklas Mattsson
Lena Kilander
Bengt Winblad
Jonathan W. Bartlett
Source :
Neurology. 83:1945-1953
Publication Year :
2014
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2014.

Abstract

Objectives: We hypothesized that CSF neurofilament light (NFL) levels would be elevated in dementias with subcortical involvement, including vascular dementia (VaD), but less elevated in dementias primarily affecting gray matter structures, such as Alzheimer disease (AD), and that elevated CSF NFL would correlate with disease severity and shorter survival time irrespective of clinical diagnosis. Methods: We included 3,356 individuals with dementia who had CSF NFL analyzed in our laboratory between 2005 and 2012. Clinical diagnoses and Mini-Mental State Examination (MMSE) scores were obtained from the Swedish Dementia Registry, and in selected cases (n = 478), date of death from the Swedish Mortality Registry. Results: CSF NFL differed among clinical diagnoses, with the highest levels seen in frontotemporal dementia, VaD, and mixed AD and VaD. Early-onset AD (younger than 65 years) had the lowest levels. High CSF NFL correlated with low MMSE score and short survival time irrespective of diagnosis, and was also particularly evident in AD. Conclusions: CSF NFL differs among different neurodegenerative diseases and is especially high in dementias engaging subcortical brain regions, such as VaD and mixed AD and VaD, but also in frontotemporal dementia. The association of high CSF NFL levels with disease severity and short survival supports the notion that high CSF NFL levels indicate more aggressive disease processes.

Details

ISSN :
1526632X and 00283878
Volume :
83
Database :
OpenAIRE
Journal :
Neurology
Accession number :
edsair.doi.dedup.....291d1bccd3b8119575d2f90e6d7da9d2