Abstract

Fatigue is a prominent disabling symptom in a variety of medical and neurologic disorders. To facilitate research in this area, we developed a fatigue severity scale, subjected it to tests of internal consistency and validity, and used it to compare fatigue in two chronic conditions: systemic lupus erythematosus and multiple sclerosis. Administration of the fatigue severity scale to 25 patients with multiple sclerosis, 29 patients with systemic lupus erythematosus, and 20 healthy adults revealed that the fatigue severity scale was internally consistent, correlated well with visual analogue measures, clearly differentiated controls from patients, and could detect clinically predicted changes in fatigue over time. Fatigue had a greater deleterious impact on daily living in patients with multiple sclerosis and systemic lupus erythematosus compared with controls. The results further showed that fatigue was largely independent of self-reported depressive symptoms and that several characteristics could differentiate fatigue that accompanies multiple sclerosis from fatigue that accompanies systemic lupus erythematosus. This study demonstrates (1) the clinical and research applications of a scale that measures fatigue severity and (2) helps to identify features that distinguish fatigue between two chronic medical disorders.

Keywords

MedicineMultiple sclerosisVisual analogue scaleChronic fatigue syndromeChronic fatigueLupus erythematosusSystemic lupus erythematosusPhysical therapyInternal medicineImmunologyDisease

MeSH Terms

AdultDisability EvaluationFatigueHumansLupus ErythematosusSystemicMultiple SclerosisNeurologic ExaminationSeverity of Illness Index

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Publication Info

Year
1989
Type
article
Volume
46
Issue
10
Pages
1121-1121
Citations
5739
Access
Closed

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5739
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Cite This

Lauren Krupp, Nicholas G. LaRocca, Joanne Muir-Nash et al. (1989). The Fatigue Severity Scale. Archives of Neurology , 46 (10) , 1121-1121. https://doi.org/10.1001/archneur.1989.00520460115022

Identifiers

DOI
10.1001/archneur.1989.00520460115022
PMID
2803071

Data Quality

Data completeness: 81%