Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment.

Humans Female Adult Male Quality of Life / psychology Lupus Erythematosus, Systemic / complications Cognitive Dysfunction / diagnosis Anxiety Machine Learning
SLE phenotypes cognition machine learning

Journal

Rheumatology (Oxford, England)
ISSN: 1462-0332
Titre abrégé: Rheumatology (Oxford)
Pays: England
ID NLM: 100883501

Informations de publication

Date de publication:
02 11 2023
Historique:
received: 05 07 2022
accepted: 07 11 2022
medline: 9 11 2023
pubmed: 18 11 2022
entrez: 17 11 2022
Statut: ppublish

Résumé

To phenotype SLE based on symptom burden (disease damage, system involvement and patient reported outcomes), with a specific focus on objective and subjective cognitive function. SLE patients ages 18-65 years underwent objective cognitive assessment using the ACR Neuropsychological Battery (ACR-NB) and data were collected on demographic and clinical variables, disease burden/activity, health-related quality of life (HRQoL), depression, anxiety, fatigue and perceived cognitive deficits. Similarity network fusion (SNF) was used to identify patient subtypes. Differences between the subtypes were evaluated using Kruskal-Wallis and χ2 tests. Of the 238 patients, 90% were female, with a mean age of 41 years (s.d. 12) and a disease duration of 14 years (s.d. 10) at the study visit. The SNF analysis defined two subtypes (A and B) with distinct patterns in objective and subjective cognitive function, disease burden/damage, HRQoL, anxiety and depression. Subtype A performed worst on all significantly different tests of objective cognitive function (P < 0.03) compared with subtype B. Subtype A also had greater levels of subjective cognitive function (P < 0.001), disease burden/damage (P < 0.04), HRQoL (P < 0.001) and psychiatric measures (P < 0.001) compared with subtype B. This study demonstrates the complexity of cognitive impairment (CI) in SLE and that individual, multifactorial phenotypes exist. Those with greater disease burden, from SLE-specific factors or other factors associated with chronic conditions, report poorer cognitive functioning and perform worse on objective cognitive measures. By exploring different ways of phenotyping SLE we may better define CI in SLE. Ultimately this will aid our understanding of personalized CI trajectories and identification of appropriate treatments.

Identifiants

DOI: 10.1093/rheumatology/keac653 PMID: 36394258 PMC: PMC10629781
pubmed: 36394258
pii: 6832035
doi: 10.1093/rheumatology/keac653
pmc: PMC10629781
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3610-3618

Subventions

Organisme : CIHR
Pays : Canada

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Michelle Barraclough (M)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
ORCID: 0000-0002-9698-0917

Lauren Erdman (L)

Genetics and Genome Biology, Department of Computer Science, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, University of Toronto, Toronto, ON, Canada.

Juan Pablo Diaz-Martinez (JP)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, Toronto, ON, Canada.

Andrea Knight (A)

Division of Rheumatology, Hospital for Sick Children, Toronto, ON, Canada.

Kathleen Bingham (K)

Centre for Mental Health, University Health Network, Department of Psychiatry, University of Toronto, Toronto, ON, Canada.

Jiandong Su (J)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, Toronto, ON, Canada.

Mahta Kakvan (M)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, Toronto, ON, Canada.

Carolina Muñoz Grajales (CM)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, Toronto, ON, Canada.

Maria Carmela Tartaglia (MC)

University of Toronto Krembil Neurosciences Centre, Toronto, ON, Canada.

Lesley Ruttan (L)

University Health Network-Toronto Rehabilitation Institute, Toronto, ON, Canada.

Joan Wither (J)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.

May Y Choi (MY)

Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
ORCID: 0000-0003-3760-2737

Dennisse Bonilla (D)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, Toronto, ON, Canada.

Simone Appenzeller (S)

University of Campinas, São Paulo, Brazil.

Ben Parker (B)

Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.

Anna Goldenberg (A)

Genetics and Genome Biology, Department of Computer Science, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, University of Toronto, Toronto, ON, Canada.

Patricia Katz (P)

University of California, San Francisco, Novato, CA, USA.
ORCID: 0000-0002-8146-2519

Dorcas Beaton (D)

Institute for Work and Health, University of Toronto, Toronto, ON, Canada.

Robin Green (R)

University Health Network-Toronto Rehabilitation Institute, Toronto, ON, Canada.

Ian N Bruce (IN)

Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
ORCID: 0000-0003-3047-500X

Zahi Touma (Z)

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, Toronto, ON, Canada.
ORCID: 0000-0001-5177-2076

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Systemic lupus erythematosus phenotypes formed...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Systemic lupus erythematosus phenotypes formed...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Démographie › État de santé › Qualité de vie › Systemic lupus erythematosus phenotypes formed...
questionsmedicales.fr › Maladies du système immunitaire › Maladies auto-immunes › Lupus érythémateux disséminé › Systemic lupus erythematosus phenotypes formed...
questionsmedicales.fr › Troubles mentaux › Troubles neurocognitifs › Troubles de la cognition › Dysfonctionnement cognitif › Systemic lupus erythematosus phenotypes formed...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Émotions › Anxiété › Systemic lupus erythematosus phenotypes formed...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Apprentissage machine › Systemic lupus erythematosus phenotypes formed...