How to identify fatigue in stroke patients: an investigation of the post-stroke fatigue case definition validity.

Case Definition Fatigue Severity Scale Fatigue Severity Scale-7 Multidimensional Fatigue Inventory 20 Poststroke Fatigue Rehabilitation Stroke

Journal

Topics in stroke rehabilitation
ISSN: 1945-5119
Titre abrégé: Top Stroke Rehabil
Pays: England
ID NLM: 9439750

Informations de publication

Date de publication:
07 2020
Historique:
pubmed: 24 12 2019
medline: 9 2 2021
entrez: 24 12 2019
Statut: ppublish

Résumé

Fatigue is a common and often debilitating stroke sequela, and it is important to accurately define and detect post-stroke fatigue. Often questionnaires are used but a case definition has been developed and proposed as a better tool. The aim of the study was to determine validity and inter-rater agreement of the case definition of post-stroke fatigue, and to determine optimal cutoff scores for marked fatigue on the Multidimensional Fatigue Inventory-20 and the Fatigue Severity Scale-7 questionnaires. Stroke patients were interviewed with the structured interview schedule for the case definition and asked to complete the two questionnaires. To examine the inter-rater agreement of the case definition a second interviewer did another interview blinded to the result of the first interview. Seventy patients were enrolled, 44% women. The median age was 74 years (interquartile range: 67-80) and the median time from stroke to interview was 8 days. The median Fatigue Severity Scale-7 score and the median Multidimensional Fatigue Inventory-20 (General Fatigue subscale) score were higher in the case definition positive than in the negative group ( The case definition was valid and had a substantial inter-rater agreement. A score ≥ 5 using the Fatigue Severity Scale-7 or a score ≥ 12 using the Multidimensional Fatigue Inventory-20 (General Fatigue subscale) may be used to detect potentially debilitating post-stroke fatigue in stroke survivors.

Sections du résumé

BACKGROUND
Fatigue is a common and often debilitating stroke sequela, and it is important to accurately define and detect post-stroke fatigue. Often questionnaires are used but a case definition has been developed and proposed as a better tool.
OBJECTIVES
The aim of the study was to determine validity and inter-rater agreement of the case definition of post-stroke fatigue, and to determine optimal cutoff scores for marked fatigue on the Multidimensional Fatigue Inventory-20 and the Fatigue Severity Scale-7 questionnaires.
METHODS
Stroke patients were interviewed with the structured interview schedule for the case definition and asked to complete the two questionnaires. To examine the inter-rater agreement of the case definition a second interviewer did another interview blinded to the result of the first interview.
RESULTS
Seventy patients were enrolled, 44% women. The median age was 74 years (interquartile range: 67-80) and the median time from stroke to interview was 8 days. The median Fatigue Severity Scale-7 score and the median Multidimensional Fatigue Inventory-20 (General Fatigue subscale) score were higher in the case definition positive than in the negative group (
CONCLUSIONS
The case definition was valid and had a substantial inter-rater agreement. A score ≥ 5 using the Fatigue Severity Scale-7 or a score ≥ 12 using the Multidimensional Fatigue Inventory-20 (General Fatigue subscale) may be used to detect potentially debilitating post-stroke fatigue in stroke survivors.

Identifiants

pubmed: 31865869
doi: 10.1080/10749357.2019.1704387
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

369-376

Auteurs

Mai Bang Poulsen (MB)

Department of Neurology, Herlev GentofteHospital, University of Copenhagen , Copenhagen, Denmark.

Sara Lyngby Skovbølling (SL)

Department of Neurology, Herlev GentofteHospital, University of Copenhagen , Copenhagen, Denmark.

Christina Kruuse (C)

Department of Neurology, Herlev GentofteHospital, University of Copenhagen , Copenhagen, Denmark.

Karsten Overgaard (K)

Department of Neurology, Herlev GentofteHospital, University of Copenhagen , Copenhagen, Denmark.

Rune Skovgaard Rasmussen (RS)

Department of Neurology, Herlev GentofteHospital, University of Copenhagen , Copenhagen, Denmark.

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Classifications MeSH