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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 Fernandez-nebro, Antonio Uriarte Itzazelaia, Esther Serrano-benavente, Belén Calvo Alén, Jaime Manrique-arija, Sara M Senabre, Jose A Bernal, Jose Narvaez, Javier Tomero, Eva Aurrecoechea, Elena Ibáñez-barceló, Mónica Torrente Segarra, Vicente Sangüesa, Clara Freire-gonzález, Mercedes Jesús García-villanueva, María Martínez Taboada, Víctor Arevalo, Marta Moriano Morales, Claudia Iñiguez, Carlota Perez, Ana Salgado, Eva Carrión-barberà, Irene L Andreu, Jose Cobo, Tatiana Horcada, Loreto Bonilla, Gema Lozano-rivas, Nuria Exposito, Lorena Montilla, Carlos J Toyos, Francisco Ibarguengoitia-barrena, Oihane Valls Pascual, Elia Nóvoa Medina, Javier Menor-almagro, Raúl Andrés Roman Ivorra, Jose Muñoz Jiménez, Alejandro M Nolla, Joan Maria Pego-reigosa, Jose |
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, issue. 2, p. e001633 |
URI: | https://hdl.handle.net/2445/222394 |
Related resource: | https://doi.org/10.1136/lupus-2025-001633 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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