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Early trajectories of skin thickening are associated with severity and mortality in systemic sclerosis

Authors
  • Ledoult, Emmanuel1, 2, 3
  • Launay, David1, 2, 3
  • Béhal, Hélène4
  • Mouthon, Luc5
  • Pugnet, Grégory6
  • Lega, Jean-Christophe7
  • Agard, Christian8
  • Allanore, Yannick9
  • Jego, Patrick10
  • Fauchais, Anne-Laure11
  • Harlé, Jean-Robert12
  • Berthier, Sabine13
  • Aouba, Achille14
  • Mekinian, Arsène5
  • Diot, Elisabeth15
  • Truchetet, Marie-Elise16
  • Boulon, Carine17
  • Duhamel, Alain4
  • Hachulla, Eric1, 2, 3
  • Sobanski, Vincent1, 2, 3
  • And 24 more
  • 1 Univ. Lille, Institute for Translational Research in Inflammation (INFINITE), Lille, F-59000, France , Lille (France)
  • 2 Centre de Référence des Maladies Auto-immunes et Systémiques Rares du Nord et Nord-Ouest de France (CeRAINO), Lille, F-59000, France , Lille (France)
  • 3 INSERM, U1286, Lille, F-59000, France , Lille (France)
  • 4 Univ. Lille, CHU Lille, EA 2694-Santé publique, épidémiologie et qualité des soins, Unité de Biostatistiques, Lille, F-59000, France , Lille (France)
  • 5 Service de Médecine Interne, Paris, France , Paris (France)
  • 6 Service de Médecine Interne, Toulouse, France , Toulouse (France)
  • 7 Service de Médecine Interne, Pierre-Bénite, France , Pierre-Bénite (France)
  • 8 Service de Médecine Interne, Nantes, France , Nantes (France)
  • 9 Service de Rhumatologie, Paris, France , Paris (France)
  • 10 Service de Médecine Interne, Rennes, France , Rennes (France)
  • 11 Service de Médecine Interne, Limoges, France , Limoges (France)
  • 12 Service de Médecine Interne, Marseille, France , Marseille (France)
  • 13 Service de Médecine Interne et Immunologie Clinique, Dijon, France , Dijon (France)
  • 14 Service de Médecine Interne, Caen, France , Caen (France)
  • 15 Service de Médecine Interne, Tours, France , Tours (France)
  • 16 Service de Rhumatologie, Bordeaux, France , Bordeaux (France)
  • 17 Service de Médecine vasculaire, Bordeaux, France , Bordeaux (France)
Type
Published Article
Journal
Arthritis Research & Therapy
Publisher
Springer Science and Business Media LLC
Publication Date
Feb 18, 2020
Volume
22
Issue
1
Identifiers
DOI: 10.1186/s13075-020-2113-6
Source
Springer Nature
Keywords
License
Green

Abstract

BackgroundSystemic sclerosis (SSc) is a severe and highly heterogeneous disease. The modified Rodnan skin score (mRSS) is a widely used tool for the assessment of the extent and degree of skin thickness. This study aimed to identify the classes of patients with early similar skin thickening trajectories without any a priori assumptions and study their associations with organ involvement and survival.MethodsFrom the French SSc national cohort, patients with a disease duration of less than 2 years at inclusion and with at least 2 mRSS available within the first 4 years of follow-up were enrolled. Classes of patients with similar mRSS trajectories were identified based on a latent class mixed model. The clinical characteristics and survival rate were compared between the obtained classes.ResultsA total of 198 patients fulfilled the inclusion criteria, with a total of 641 mRSS available. The median disease duration and follow-up were 0.8 (interquartile range 0.4; 1.2) and 6.3 (3.8; 8.9) years, respectively. Individual trajectories of mRSS were highly heterogeneous between patients. Models with 1–6 latent classes of trajectories were sequentially assessed, and the 5-class model represented the best fit to data. Each class was characterized by a unique global trajectory of mRSS. The median disease duration did not differ significantly between classes. Baseline organ involvement was more frequent in classes with significant change over time (classes 2–5) than in class 1 (low baseline mRSS without significant change over time). Using Cox regression, we observed a progressively increasing risk of death from classes 1 to 5.ConclusionsEarly identification of clinical phenotype based on skin thickening trajectories could predict morbi-mortality in SSc. This study suggested that mRSS trajectories characterization might be pivotal for clinical practice and future trial designs.

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