Evidence map›Paper›PMID 39819095›Full record

ArticleNeurology2025

Prevalence of Fatigue and Associations With Depression and Cognitive Impairment in Patients With CADASIL.

Amy A Jolly, Success Anyanwu, Fatemeh Koohi, Robin G Morris, Hugh S Markus

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Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Amy A JollyDepartment of Clinical Neurosciences, University of Cambridge, United Kingdom.ORCID 0000-0003-2669-4998
Success AnyanwuSchool of Clinical Medicine, University of Cambridge, United Kingdom; and.
Fatemeh KoohiDepartment of Clinical Neurosciences, University of Cambridge, United Kingdom.
Robin G MorrisKing's College Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.ORCID 0000-0001-7767-5258
Hugh S MarkusDepartment of Clinical Neurosciences, University of Cambridge, United Kingdom.ORCID 0000-0002-9794-5996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesFatigue is a common and disabling symptom in cerebrovascular disease and has been associated with white matter damage, but the underlying disease mechanisms are poorly understood. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common genetic form of stroke and causes a cerebral small vessel disease arteriopathy with white matter ischemia. We determined the prevalence of fatigue in CADASIL, the factors associated with it, and its relationship with both depression and cognitive impairment.

methodsProspectively recruited genetically confirmed patients with CADASIL were assessed using the Fatigue Severity Scale. The prevalence of fatigue in CADASIL was compared with that of healthy controls from the community. We determined associations between fatigue and clinical features, cardiovascular risk factors, MRI parameters, cognition, and depression. Cognition was measured using the Brief Memory and Executive Test (BMET) and depression using the Geriatric Depression Scale (GDS). Mediation and path analyses were performed to determine relationships between fatigue, depression, and cognitive impairment.

resultsOne hundred seventy-four patients with CADASIL (mean age [SD] of 51.3 [12.30] years, 59.66% female) and 50 healthy controls were included in the analysis (mean age [SD] of 51.42 [12.58] years, 38.0% female). Fatigue was present in 51.7% of patients with CADASIL and was almost 5 times more common than in controls (OR: 4.99, 95% CI [2.28-10.95], DISCUSSION: Fatigue was present in over half of the patients with CADASIL. Depression and cognition were the main predictors of fatigue, and all 3 symptoms were frequently comorbid. The relationship between depression and fatigue was the strongest and was bidirectional. This suggests targeting depressive symptoms may have benefit in fatigue management.

Indexed as

CADASILCognitive DysfunctionDepressionFatigueAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsPrevalenceProspective Studies

Identifiers

PMID39819095
PMCPMC11737844

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