Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/222394
Title: Comorbidity clusters and their relationship with severity and outcomes of index diseases, in a large multicentre systemic lupus erythematosus cohort
Author: Rua Figueroa, Iñigo
Pérez Veiga, Natalia
Rodríguez Almaraz, Esther
Galindo Izquierdo, María
Erausquin, Celia
Fernández Nebro, Antonio
Uriarte Itzazelaia, Esther
Serrano Benavente, Belén
Calvo Alén, Jaime
Manrique Arija, Sara
Senabre, José M.
Bernal, José. A.
Narváez García, Francisco Javier
Tomero, Eva
Aurrecoechea, Elena
Ibáñez Barceló, Mónica
Torrente Segarra, Vicenç
Sangüesa, Clara
Freire González, Mercedes
García Villanueva, María Jesús
Martínez Taboada, Víctor Manuel
Arevalo Salaet, Marta
Moriano Morales, Claudia
Iñiguez, Carlota
Pérez, Ana
Salgado Pérez, Eva
Carrión Barberà, Irene
Andreu, José L.
Cobo Ibañez, María Tatiana
Horcada, Loreto
Bonilla, Gema
Lozano Rivas, Nuria
Exposito, Lorena
Montilla, Carlos
Toyos, Francisco Javier
Ibarguengoitia Barrena, Oihane
Valls Pascual, Elia
Nóvoa Medina, Javier
Menor Almagro, Raúl
Roman Ivorra, José Andrés
Muñoz Jiménez, Alejandro
Nolla Solé, Joan Miquel
Pego Reigosa, José María
Keywords: Lupus
Comorbiditat
Lupus
Comorbidity
Issue Date: 1-Jul-2025
Publisher: BMJ
Abstract: Objective Patients with SLE have a well-known increased risk of major comorbidities, although they are also very heterogeneous in terms of the prevalence of comorbid conditions. The relationships of such comorbidities with the outcomes and the severity of index diseases are less known. We aimed to evaluate the interactions between comorbid conditions, in a large multicentre SLE cohort, and their impact on severity and outcomes, using a cluster analysis.Methods Data on 14 cumulative comorbidities were derived from patients with SLE (American College of Rheumatology (ACR)-97 criteria) who had been included in the retrospective phase of the RELESSER (Spanish Society of Rheumatology National Register of SLE). The Severity Katz Index and the SLICC/ACR Damage Index were calculated. Unsupervised cluster analysis was performed to better characterise the relationships between comorbidities in a large multicentre cohort of patients with SLE. For intercluster differences testing, analysis of variance and Tukey tests were used to compare continuous numerical variables; a Kruskal-Wallis test to discrete variables and the chi(2) (or Fisher's exact test) were used for categorical ones.Results A total of 3658 patients with SLE were included. Men accounted for 9.6% of patients. The mean (SD) age was 45.9 years, and 93% were Caucasian. Four clusters, with markedly different comorbidity profiles and outcomes, were identified: in cluster 2 (n=516), patients were grouped around depression (100% of the cases); in cluster 3 (n=418) around serious infections (100%); and in cluster 4 (n=388) around cardiovascular events (also 100%). However, in cluster 1, the largest one (n=2336), no patient had any of the three defining comorbidities of the other clusters, and this cluster was associated with the best outcomes.Conclusions Cluster analysis identifies well-differentiated subsets of patients with SLE in terms of their comorbidities. The most relevant comorbidities in SLE tend to aggregate in the most severe patient subsets.
Note: Reproducció del document publicat a: https://doi.org/10.1136/lupus-2025-001633
It is part of: Lupus Science & Medicine, 2025, vol. 12, num. 2, e001633
URI: https://hdl.handle.net/2445/222394
Related resource: https://doi.org/10.1136/lupus-2025-001633
ISSN: 2053-8790
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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