Profiles of patients' self-reported health after acute stroke.

ICHOM, PROMIS Patient-reported outcome measures Stroke Value-based health care

Journal

Neurological research and practice
ISSN: 2524-3489
Titre abrégé: Neurol Res Pract
Pays: England
ID NLM: 101767802

Informations de publication

Date de publication:
23 Aug 2021
Historique:
received: 28 06 2021
accepted: 26 07 2021
entrez: 23 8 2021
pubmed: 24 8 2021
medline: 24 8 2021
Statut: epublish

Résumé

We aimed to identify groups of patients with similar health status after stroke, assessed by patient reported outcome measures (PROMs), to improve initial risk stratification. In a prospective study, inpatients were recruited during acute stroke treatment. Demographics, history, and cardio-vascular risk factors were assessed at baseline. Self-reported functional status, physical and mental health as well as anxiety and depressive symptoms were assessed 3 and 12 months after stroke and used to identify latent classes. The association of patient characteristics with latent class membership was investigated with multinomial logistic regression. Of the 650 patients included with a mean age of 75 years and 48% female, 70% had ischemic, 6% hemorrhagic strokes, and 24% transient ischemic attacks. Median NIHSS on admission was 2 (IQR:0,5). Values of PROMs remained comparable at 3 and 12 months. A three-class model was developed, differentiating between patients with mildly (75%), moderately (17%), and severely (8%) impaired self-reported health status. Adjusted for univariately significant baseline characteristics, initial NIHSS distinguished mild- from moderate-, and moderate- from severe-class-membership (p < 0.001). Length of inpatient stay (p < 0.001;OR = 1.1), diabetes (p = 0.021;OR = 1.91), and atrial fibrillation (p = 0.004;OR = 2.20) predicted allocation to the moderately vs. mildly affected class. Grading stroke patients by a standard set of PROMs up to 1 year after stroke allows to distinguish the diverse impact of baseline characteristics on differently affected groups. In addition to initial stroke severity, longer inpatient stay, presence of diabetes and atrial fibrillation correlate with greater impairment of self-reported health in the less affected groups. http://www.ClinicalTrials.gov ; Unique identifier: NCT03795948 .

Sections du résumé

BACKGROUND BACKGROUND
We aimed to identify groups of patients with similar health status after stroke, assessed by patient reported outcome measures (PROMs), to improve initial risk stratification.
METHODS METHODS
In a prospective study, inpatients were recruited during acute stroke treatment. Demographics, history, and cardio-vascular risk factors were assessed at baseline. Self-reported functional status, physical and mental health as well as anxiety and depressive symptoms were assessed 3 and 12 months after stroke and used to identify latent classes. The association of patient characteristics with latent class membership was investigated with multinomial logistic regression.
RESULTS RESULTS
Of the 650 patients included with a mean age of 75 years and 48% female, 70% had ischemic, 6% hemorrhagic strokes, and 24% transient ischemic attacks. Median NIHSS on admission was 2 (IQR:0,5). Values of PROMs remained comparable at 3 and 12 months. A three-class model was developed, differentiating between patients with mildly (75%), moderately (17%), and severely (8%) impaired self-reported health status. Adjusted for univariately significant baseline characteristics, initial NIHSS distinguished mild- from moderate-, and moderate- from severe-class-membership (p < 0.001). Length of inpatient stay (p < 0.001;OR = 1.1), diabetes (p = 0.021;OR = 1.91), and atrial fibrillation (p = 0.004;OR = 2.20) predicted allocation to the moderately vs. mildly affected class.
CONCLUSIONS CONCLUSIONS
Grading stroke patients by a standard set of PROMs up to 1 year after stroke allows to distinguish the diverse impact of baseline characteristics on differently affected groups. In addition to initial stroke severity, longer inpatient stay, presence of diabetes and atrial fibrillation correlate with greater impairment of self-reported health in the less affected groups.
TRIAL REGISTRATION BACKGROUND
http://www.ClinicalTrials.gov ; Unique identifier: NCT03795948 .

Identifiants

pubmed: 34420516
doi: 10.1186/s42466-021-00146-9
pii: 10.1186/s42466-021-00146-9
pmc: PMC8381585
doi:

Banques de données

ClinicalTrials.gov
['NCT03795948']

Types de publication

Journal Article

Langues

eng

Pagination

43

Subventions

Organisme : german federal joint committee
ID : 01VSF16023

Informations de copyright

© 2021. The Author(s).

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Auteurs

D Leander Rimmele (DL)

Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. d.rimmele@uke.de.

Theresa Schrage (T)

Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

Lisa Lebherz (L)

Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

Levente Kriston (L)

Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

Christian Gerloff (C)

Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

Martin Härter (M)

Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

Götz Thomalla (G)

Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

Classifications MeSH