Iñigo Rua-Figueroa, M Jesus García de Yébenes, Julia Martinez-Barrio, Maria Galindo Izquierdo, Jaime Calvo Alén, Antonio Fernandez-Nebro, Raúl Menor-Almagro, Loreto Carmona, Beatriz Tejera Segura, Eva Tomero, Mercedes Freire-González, Clara Sangüesa, Loreto Horcada, Ricardo Blanco, Esther Uriarte Itzazelaia, Javier Narváez, José Carlos Rosas Gómez de Salazar, Silvia Gómez-Sabater, Claudia Moriano Morales, Jose L Andreu, Vicente Torrente Segarra, Elena Aurrecoechea, Ana Perez, Javier Nóvoa Medina, Eva Salgado, Nuria Lozano-Rivas, Carlos Montilla, Esther Ruiz-Lucea, Marta Arevalo, Carlota Iñiguez, María Jesús García-Villanueva, Lorena Exposito, Mónica Ibáñez-Barceló, Gema Bonilla, Irene Carrión-Barberà, Celia Erausquin, Jorge Juan Fragio Gil, Angela Pecondón, Francisco J Toyos, Tatiana Cobo, Alejandro Muñoz-Jiménez, Jose Oller, Joan M Nolla, J M Pego-Reigosa
OBJECTIVE: To develop an improved score for prediction of severe infection in patients with systemic lupus erythematosus (SLE), namely, the SLE Severe Infection Score-Revised (SLESIS-R) and to validate it in a large multicentre lupus cohort. METHODS: We used data from the prospective phase of RELESSER (RELESSER-PROS), the SLE register of the Spanish Society of Rheumatology. A multivariable logistic model was constructed taking into account the variables already forming the SLESIS score, plus all other potential predictors identified in a literature review...
April 8, 2024: Lupus Science & Medicine