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Cluster analysis of clinical manifestations assigns systemic lupus erythematosus-phenotype subgroups: A multicentre study on 440 patients - 24/11/24

Doi : 10.1016/j.jbspin.2024.105760 
Fanny Mariette a, , Véronique Le Guern b, Yann Nguyen b, c, Cécile Yelnik d, Nathalie Morel b, Eric Hachulla c, d, Marc Lambert d, Gaëlle Guettrot-Imbert b, Luc Mouthon b, Mikael Ebbo a, Nathalie Costedoat-Chalumeau b, c
a Department of Internal Medicine, Aix-Marseille université, hôpital La Timone, AP-HM, Marseille, France 
b National Referral Centre for Rare Autoimmune and Systemic Diseases, Department of Internal Medicine, université de Paris, hôpital Cochin, AP–HP Centre, Paris, France 
c Unité Inserm 1153, centre de recherche en épidémiologie et statistiques (CRESS), université de Paris, Paris, France 
d Inserm, Department of Internal Medicine and Clinical Immunology, U1286 – INFINITE – Institute for Translational Research in Inflammation, Referral Centre for rare systemic autoimmune diseases North and North-West of France (CeRAINO), CHU de Lille, université de Lille, Lille, France 

Corresponding author.

Highlights

Our clustering study discerned three distinct homogeneous subgroups of lupus patients.
Cluster 1 was associated with antiphospholipid syndrome, and its manifestations.
Clusters 2 and 3 were opposite clusters in terms of severity and antibody diversity.
This clinical-based clustering highlights the heterogeneity of lupus disease.

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Abstract

Objective

Systemic lupus erythematous (SLE) is a heterogenous disease characterised by a large panel of autoantibodies and a wide spectrum of clinical signs and symptoms that engender different outcomes. We aimed to identify distinct, homogeneous SLE patients’ phenotypes.

Methods

This retrospective study enrolled SLE patients meeting the Systemic Lupus International Collaborating Clinics (SLICC) classification criteria, enrolled in the French multicentre “APS (antiphospholipid syndrome) and SLE” Registry. Based on 29 variables selected to cover a broad range of clinical and laboratory (excluding autoantibodies) SLE manifestations, unsupervised multiple correspondence analysis followed by hierarchical ascendent-clustering analysis assigned different phenotypes.

Results

We included 440 patients, mostly women (94.3%). Median age at SLE diagnosis was 24 (IQR 19–32) years. Cluster analysis yielded three distinct subgroups based on cumulative clinical manifestations, not autoantibody pattern. Cluster 1 (n=91) comprised mostly Caucasian patients, with APS-associated clinical and biological manifestations, e.g., livedo, seizure, thrombocytopaenia and haemolytic anaemia. Cluster 2 (n=221), the largest, included patients with mild clinical manifestations, mainly articular, more frequently associated with Sjögren's syndrome and with less frequent autoantibody-positivity. Cluster 3 (n=128) consisted of patients with the largest panel of SLE-specific clinical manifestations (cutaneous, articular, proliferative nephritis, pleural, cardiac and haematological), the most frequent autoantibody-positivity, low complement levels, and more often of Asian and sub-Saharan African origin.

Conclusion

This unsupervised clustering method distinguished three distinct SLE patient subgroups, highlighting SLE heterogeneity.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : Systemic lupus erythematosus, Cluster analysis, Phenotype subgroups, Autoantibodies


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© 2024  Pubblicato da Elsevier Masson SAS.
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Vol 91 - N° 6

Articolo 105760- Dicembre 2024 Ritorno al numero
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