Derivation and validation of the SLE Disease Activity Score (SLE-DAS): a new SLE continuous measure with high sensitivity for changes in disease activity.


Journal

Annals of the rheumatic diseases
ISSN: 1468-2060
Titre abrégé: Ann Rheum Dis
Pays: England
ID NLM: 0372355

Informations de publication

Date de publication:
03 2019
Historique:
received: 29 09 2018
revised: 26 11 2018
accepted: 27 11 2018
pubmed: 11 1 2019
medline: 4 12 2019
entrez: 11 1 2019
Statut: ppublish

Résumé

To derive and validate a new disease activity measure for systemic lupus erythematosus (SLE), the SLE Disease Activity Score (SLE-DAS), with improved sensitivity to change as compared with SLE Disease Activity Index (SLEDAI), while maintaining high specificity and easiness of use. We studied 520 patients with SLE from two tertiary care centres (derivation and validation cohorts). At each visit, disease activity was scored using the Physician Global Assessment (PGA) and SLEDAI 2000 (SLEDAI-2K). To construct the SLE-DAS, we applied multivariate linear regression analysis in the derivation cohort, with PGA as dependent variable. The formula was validated in a different cohort through the study of: (1) correlations between SLE-DAS, PGA and SLEDAI-2K; (2) performance of SLEDAI-2K and SLE-DAS in identifying a clinically meaningful change in disease activity (ΔPGA≥0.3); and (3) accuracy of SLEDAI-2K and SLE-DAS time-adjusted means in predicting damage accrual. The final SLE-DAS instrument included 17 items. SLE-DAS was highly correlated with PGA (r=0.875, p<0.0005) and SLEDAI-2K (r=0.943, p<0.0005) in the validation cohort. The optimal discriminative ΔSLE-DAS cut-off to detect a clinically meaningful change was 1.72. In the validation cohort, SLE-DAS showed a higher sensitivity than SLEDAI-2K (change ≥4) to detect a clinically meaningful improvement (89.5% vs 47.4%, p=0.008) or worsening (95.5% vs 59.1%, p=0.008), while maintaining similar specificities. SLE-DAS performed better in predicting damage accrual than SLEDAI-2K. SLE-DAS has a good construct validity and has better performance than SLEDAI-2K in identifying clinically significant changes in disease activity and in predicting damage accrual.

Identifiants

pubmed: 30626657
pii: annrheumdis-2018-214502
doi: 10.1136/annrheumdis-2018-214502
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

365-371

Commentaires et corrections

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Informations de copyright

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Diogo Jesus (D)

Rheumatology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.

Ana Matos (A)

School of Technology and Management, Polytechnic Institute of Viseu, Viseu, Portugal.
Centre for the Study of Education, Technologies and Health, Viseu, Portugal.

Carla Henriques (C)

School of Technology and Management, Polytechnic Institute of Viseu, Viseu, Portugal.
Centre for the Study of Education, Technologies and Health, Viseu, Portugal.
Centre for Mathematics, University of Coimbra, Coimbra, Portugal.

Margherita Zen (M)

Rheumatology Unit, Department of Medicine, University of Padova, Padova, Italy.

Maddalena Larosa (M)

Rheumatology Unit, Department of Medicine, University of Padova, Padova, Italy.

Luca Iaccarino (L)

Rheumatology Unit, Department of Medicine, University of Padova, Padova, Italy.

José António Pereira Da Silva (JAP)

Rheumatology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.

Andrea Doria (A)

Rheumatology Unit, Department of Medicine, University of Padova, Padova, Italy.

Luís Sousa Inês (LS)

Rheumatology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal luisines@gmail.com.
School of Health Sciences, University of Beira Interior, Covilhã, Portugal.

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