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SLESIS-R: an improved score for prediction of serious infection in patients with systemic lupus erythematosus based on the RELESSER prospective cohort.

Authors :
Rua-Figueroa I
García de Yébenes MJ
Martinez-Barrio J
Galindo Izquierdo M
Calvo Alén J
Fernandez-Nebro A
Menor-Almagro R
Carmona L
Tejera Segura B
Tomero E
Freire-González M
Sangüesa C
Horcada L
Blanco R
Uriarte Itzazelaia E
Narváez J
Rosas Gómez de Salazar JC
Gómez-Sabater S
Morales CM
Andreu JL
Segarra VT
Aurrecoechea E
Perez A
Nóvoa Medina J
Salgado E
Lozano-Rivas N
Montilla C
Ruiz-Lucea E
Arevalo M
Iñiguez C
García-Villanueva MJ
Exposito L
Ibáñez-Barceló M
Bonilla G
Carrión-Barberà I
Erausquin C
Fragio Gil JJ
Pecondón A
Toyos FJ
Cobo T
Muñoz-Jiménez A
Oller J
Nolla JM
Pego-Reigosa JM
Source :
Lupus science & medicine [Lupus Sci Med] 2024 Apr 08; Vol. 11 (1). Date of Electronic Publication: 2024 Apr 08.
Publication Year :
2024

Abstract

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.<br />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. Performance was analysed using the C-statistic and the area under the receiver operating characteristic curve (AUROC). Internal validation was carried out using a 100-sample bootstrapping procedure. ORs were transformed into score items, and the AUROC was used to determine performance.<br />Results: A total of 1459 patients who had completed 1 year of follow-up were included in the development cohort (mean age, 49±13 years; 90% women). Twenty-five (1.7%) had experienced ≥1 severe infection. According to the adjusted multivariate model, severe infection could be predicted from four variables: age (years) ≥60, previous SLE-related hospitalisation, previous serious infection and glucocorticoid dose. A score was built from the best model, taking values from 0 to 17. The AUROC was 0.861 (0.777-0.946). The cut-off chosen was ≥6, which exhibited an accuracy of 85.9% and a positive likelihood ratio of 5.48.<br />Conclusions: SLESIS-R is an accurate and feasible instrument for predicting infections in patients with SLE. SLESIS-R could help to make informed decisions on the use of immunosuppressants and the implementation of preventive measures.<br />Competing Interests: Competing interests: None declared.<br /> (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Details

Language :
English
ISSN :
2053-8790
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Lupus science & medicine
Publication Type :
Academic Journal
Accession number :
38589223
Full Text :
https://doi.org/10.1136/lupus-2023-001096