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Revised European Scleroderma Trials and Research Group Activity Index is the best predictor of short-term severity accrual

Authors :
Elisabetta Zanatta
Gabriele Valentini
Jérôme Avouac
Ulrich A. Walker
Valeria Riccieri
Florenzo Iannone
Ellen De Langhe
Paola Caramaschi
Carina Mihai
Valentina Messiniti
Otylia Kowal-Bielecka
Edoardo Rosato
Jörg H W Distler
Alessandra Vacca
Yannick Allanore
Serena Fasano
Vanessa Smith
Antonella Riccardi
Britta Maurer
Oliver Distler
Elise Siegert
Paolo Airò
Paloma García de la Peña Lefebvre
Fasano, S.
Riccardi, A.
Messiniti, V.
Caramaschi, P.
Rosato, E.
Maurer, B.
Smith, V.
Siegert, E.
De Langhe, E.
Riccieri, V.
Airo, P.
Mihai, C.
Avouac, J.
Zanatta, E.
Walker, U. A.
Iannone, F.
De La Pena Lefebvre, P. G.
Distler, J. H. W.
Vacca, A.
Distler, O.
Kowal-Bielecka, O.
Allanore, Y.
Valentini, G.
University of Zurich
Kowal-Bielecka, Otylia
Source :
Annals of the rheumatic diseases. 78(12)
Publication Year :
2019

Abstract

BackgroundThe European Scleroderma Trials and Research Group (EUSTAR) recently developed a preliminarily revised activity index (AI) that performed better than the European Scleroderma Study Group Activity Index (EScSG-AI) in systemic sclerosis (SSc).ObjectiveTo assess the predictive value for short-term disease severity accrual of the EUSTAR-AI, as compared with those of the EScSG-AI and of known adverse prognostic factors.MethodsPatients with SSc from the EUSTAR database with a disease duration from the onset of the first non-Raynaud sign/symptom ≤5 years and a baseline visit between 2003 and 2014 were first extracted. To capture the disease activity variations over time, EUSTAR-AI and EScSG-AI adjusted means were calculated. The primary outcome was disease progression defined as a Δ≥1 in the Medsger’s severity score and in distinct items at the 2-year follow-up visit. Logistic regression analysis was carried out to identify predictive factors.Results549 patients were enrolled. At multivariate analysis, the EUSTAR-AI adjusted mean was the only predictor of any severity accrual and of that of lung and heart, skin and peripheral vascular disease over 2 years.ConclusionThe adjusted mean EUSTAR-AI has the best predictive value for disease progression and development of severe organ involvement over time in SSc.

Details

ISSN :
14682060
Volume :
78
Issue :
12
Database :
OpenAIRE
Journal :
Annals of the rheumatic diseases
Accession number :
edsair.doi.dedup.....2eee8e12cfab2ceed12ccec24ea3879c