Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study

Herrick, Ariane L, Peytrignet, Sebastien, Lunt, Mark, Pan, Xiaoyan, Hesselstrand, Roger, Mouthon, Luc, Silman, Alan J, Dinsdale, Graham, Brown, Edith, Czirják, László, Distler, Jörg H W, Distler, Oliver, Fligelstone, Kim, Gregory, William J, Ochiel, Rachel, Vonk, Madelon C, Ancuţa, Codrina, Ong, Voon H, Farge, Dominique, Hudson, Marie, Matucci-Cerinic, Marco, Balbir-Gurman, Alexandra, Midtvedt, Øyvind, Jobanputra, Paresh, Jordan, Alison C, Stevens, Wendy, Moinzadeh, Pia, Hall, Frances C, Agard, Christian, Anderson, Marina E, Diot, Elisabeth, Madhok, Rajan, Akil, Mohammed, Buch, Maya H, Chung, Lorinda, Damjanov, Nemanja S, Gunawardena, Harsha, Lanyon, Peter, Ahmad, Yasmeen, Chakravarty, Kuntal, Jacobsen, Søren, MacGregor, Alexander J ORCID: https://orcid.org/0000-0003-2163-2325, McHugh, Neil, Müller-Ladner, Ulf, Riemekasten, Gabriela, Becker, Michael, Roddy, Janet, Carreira, Patricia E, Fauchais, Anne Laure, Hachulla, Eric, Hamilton, Jennifer, İnanç, Murat, McLaren, John S, van Laar, Jacob M, Pathare, Sanjay, Proudman, Susanna M, Rudin, Anna, Sahhar, Joanne, Coppere, Brigitte, Serratrice, Christine, Sheeran, Tom, Veale, Douglas J, Grange, Claire, Trad, Georges-Selim and Denton, Christopher P (2018) Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study. Annals of the Rheumatic Diseases, 77 (4). pp. 563-570. ISSN 0003-4967

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Abstract

Objectives: Our aim was to use the opportunity provided by the European Scleroderma Observational Study to (1) identify and describe those patients with early diffuse cutaneous systemic sclerosis (dcSSc) with progressive skin thickness, and (2) derive prediction models for progression over 12 months, to inform future randomised controlled trials (RCTs). Methods: The modified Rodnan skin score (mRSS) was recorded every 3 months in 326 patients. ‘Progressors’ were defined as those experiencing a 5-unit and 25% increase in mRSS score over 12 months (±3 months). Logistic models were fitted to predict progression and, using receiver operating characteristic (ROC) curves, were compared on the basis of the area under curve (AUC), accuracy and positive predictive value (PPV). Results: 66 patients (22.5%) progressed, 227 (77.5%) did not (33 could not have their status assessed due to insufficient data). Progressors had shorter disease duration (median 8.1 vs 12.6 months, P=0.001) and lower mRSS (median 19 vs 21 units, P=0.030) than non-progressors. Skin score was highest, and peaked earliest, in the anti-RNA polymerase III (Pol3+) subgroup (n=50). A first predictive model (including mRSS, duration of skin thickening and their interaction) had an accuracy of 60.9%, AUC of 0.666 and PPV of 33.8%. By adding a variable for Pol3 positivity, the model reached an accuracy of 71%, AUC of 0.711 and PPV of 41%. Conclusions: Two prediction models for progressive skin thickening were derived, for use both in clinical practice and for cohort enrichment in RCTs. These models will inform recruitment into the many clinical trials of dcSSc projected for the coming years.

Item Type: Article
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health
Faculty of Medicine and Health Sciences > Research Groups > Musculoskeletal Medicine
Faculty of Medicine and Health Sciences > Research Groups > Nutrition and Preventive Medicine
Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Faculty of Science > Research Groups > Norwich Epidemiology Centre
Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
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Depositing User: Pure Connector
Date Deposited: 01 Feb 2018 15:30
Last Modified: 19 Apr 2023 09:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/66178
DOI: 10.1136/annrheumdis-2017-211912

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