<javascript:AL_get(this,%20'jour',%20'Eur%20J%20Neurol.');> 2009 Oct 1.
[Epub ahead of print]=20
<http://www.ncbi.nlm.nih.gov/entrez/utils/fref.fcgi?PrId=3D3046&itool=3DA=
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ractPlus-def&uid=3D19796282&nlmid=3D9506311&db=3Dpubmed&url=3Dhttp://dx.d=
oi.org/
10.1111/j.1468-1331.2009.02776.x> Links
<javascript:PopUpMenu2_Set(Menu19796282);>=20
Fatigue and processing speed are related in multiple sclerosis.
Andreasen AK
<http://www.ncbi.nlm.nih.gov/sites/entrez?Db=3Dpubmed&Cmd=3DSearch&Term=3D=
%22A
ndreasen%20AK%22%5BAuthor%5D&itool=3DEntrezSystem2.PEntrez.Pubmed.Pubmed_=
R
esultsPanel.Pubmed_DiscoveryPanel.Pubmed_RVAbstractPlus> , Spliid PE
<http://www.ncbi.nlm.nih.gov/sites/entrez?Db=3Dpubmed&Cmd=3DSearch&Term=3D=
%22S
pliid%20PE%22%5BAuthor%5D&itool=3DEntrezSystem2.PEntrez.Pubmed.Pubmed_Res=
u
ltsPanel.Pubmed_DiscoveryPanel.Pubmed_RVAbstractPlus> , Andersen H
<http://www.ncbi.nlm.nih.gov/sites/entrez?Db=3Dpubmed&Cmd=3DSearch&Term=3D=
%22A
ndersen%20H%22%5BAuthor%5D&itool=3DEntrezSystem2.PEntrez.Pubmed.Pubmed_Re=
s
ultsPanel.Pubmed_DiscoveryPanel.Pubmed_RVAbstractPlus> , Jakobsen J
<http://www.ncbi.nlm.nih.gov/sites/entrez?Db=3Dpubmed&Cmd=3DSearch&Term=3D=
%22J
akobsen%20J%22%5BAuthor%5D&itool=3DEntrezSystem2.PEntrez.Pubmed.Pubmed_Re=
s
ultsPanel.Pubmed_DiscoveryPanel.Pubmed_RVAbstractPlus> .
Department of Neurology, Aarhus University Hospital, Aarhus, Denmark.
Background: Fatigue is common in multiple sclerosis (MS) and could be
related to impaired processing speed caused by MS specific brain
alterations. The objective of this study was to examine the relationship
between processing speed and fatigue in patients with relapsing
remitting MS. Methods: Patients with EDSS score </=3D3.5 were grouped as
fatigued [Fatigue Severity Scale (FSS) score >/=3D5.0] or non-fatigued
(FSS score </=3D4.0). Patients with FSS scores >/=3D5 were categorized =
as
primary or secondary fatigued according to various indices. A cognitive
test battery obtained from Wechsler's Adult Intelligence
Scale-III/Wechsler's Memory Scale-III was applied. Results: Processing
speed (Digit Symbol Coding) was lower amongst all MS patients being
9.4(2.9) in primary fatigued, 8.3(2.8) in secondary fatigued and
10.3(2.7) in non-fatigued versus 12.3(3.0) in healthy controls. In the
combined group of primary and secondary fatigued MS patients, processing
speed was slower than that in non-fatigued MS patients and inversely
related to fatigue (r =3D -0.35; P < 0.05). No such relationship could =
be
established in non-fatigued MS patients or in healthy controls.
Conclusion: The degree of fatigue in MS is related to processing speed
impairment and longitudinal studies should clarify their mutual
dependency.
=20
This would be a very interesting study to do in CFS patients to directly
compare CFS fatigue with MS fatigue since they have been declared to be
similar in several separate studies.
=20
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