J S S Concha1,2, S Pena1,2, R G Gaffney1,2, B Patel1,2, M Tarazi1,2, C J Kushner1,2, J F Merola3, D Fiorentino4, J P Dutz5, M Goodfield6, F Nyberg7, B Volc-Platzer8, M Fujimoto9, C C Ang10, V P Werth1,2. 1. Michael J. Crescenz VAMC, Philadelphia, PA, U.S.A. 2. Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, U.S.A. 3. Department of Dermatology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A. 4. Department of Dermatology, Stanford University School of Medicine, Redwood City, CA, U.S.A. 5. Department of Dermatology and Skin Science, University of British Columbia, Vancouver, BC, Canada. 6. Department of Dermatology, Leeds General Infirmary, Leeds, U.K. 7. Karolinska Universitetssjukhuset, Stockholm, Sweden. 8. Department of Dermatology, Wiener Krankenanstaltenverbund, Vienna, Austria. 9. Department of Dermatology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan. 10. Department of Dermatology, Changi General Hospital, Singapore.
Abstract
BACKGROUND: The European League Against Rheumatism/American College of Rheumatology classification criteria for inflammatory myopathies are able to classify patients with skin-predominant dermatomyositis (DM). However, approximately 25% of patients with skin-predominant DM do not meet two of the three hallmark skin signs and fail to meet the criteria. OBJECTIVES: To develop a set of skin-focused classification criteria that will distinguish cutaneous DM from mimickers and allow a more inclusive definition of skin-predominant disease. METHODS: An extensive literature review was done to generate items for the Delphi process. Items were grouped into categories of distribution, morphology, symptoms, antibodies, histology and contextual factors. Using REDCap™, participants rated these items in terms of appropriateness and distinguishing ability from mimickers. The relevance score ranged from 1 to 100, and the median score determined a rank-ordered list. A prespecified median score cut-off was decided by the steering committee and the participants. There was a pre-Delphi and two rounds of actual Delphi. RESULTS: There were 50 participating dermatologists and rheumatologists from North America, South America, Europe and Asia. After a cut-off score of 70 during the first round, 37 of the initial 54 items were retained and carried over to the next round. The cut-off was raised to 80 during round two and a list of 25 items was generated. CONCLUSIONS: This project is a key step in the development of prospectively validated classification criteria that will create a more inclusive population of patients with DM for clinical research. What's already known about this topic? Proper classification of patients with skin-predominant dermatomyositis (DM) is indispensable in the appropriate conduct of clinical/translational research in the field. The only validated European League Against Rheumatism/American College of Rheumatology criteria for idiopathic inflammatory myopathies are able to classify skin-predominant DM. However, a quarter of amyopathic patients still fail the criteria and does not meet the disease classification. What does this study add? A list of 25 potential criteria divided into categories of distribution, morphology, symptomatology, pathology and contextual factors has been generated after several rounds of consensus exercise among experts in the field of DM. This Delphi project is a prerequisite to the development of a validated classification criteria set for skin-predominant DM. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.
BACKGROUND: The European League Against Rheumatism/American College of Rheumatology classification criteria for inflammatory myopathies are able to classify patients with skin-predominant dermatomyositis (DM). However, approximately 25% of patients with skin-predominant DM do not meet two of the three hallmark skin signs and fail to meet the criteria. OBJECTIVES: To develop a set of skin-focused classification criteria that will distinguish cutaneous DM from mimickers and allow a more inclusive definition of skin-predominant disease. METHODS: An extensive literature review was done to generate items for the Delphi process. Items were grouped into categories of distribution, morphology, symptoms, antibodies, histology and contextual factors. Using REDCap™, participants rated these items in terms of appropriateness and distinguishing ability from mimickers. The relevance score ranged from 1 to 100, and the median score determined a rank-ordered list. A prespecified median score cut-off was decided by the steering committee and the participants. There was a pre-Delphi and two rounds of actual Delphi. RESULTS: There were 50 participating dermatologists and rheumatologists from North America, South America, Europe and Asia. After a cut-off score of 70 during the first round, 37 of the initial 54 items were retained and carried over to the next round. The cut-off was raised to 80 during round two and a list of 25 items was generated. CONCLUSIONS: This project is a key step in the development of prospectively validated classification criteria that will create a more inclusive population of patients with DM for clinical research. What's already known about this topic? Proper classification of patients with skin-predominant dermatomyositis (DM) is indispensable in the appropriate conduct of clinical/translational research in the field. The only validated European League Against Rheumatism/American College of Rheumatology criteria for idiopathic inflammatory myopathies are able to classify skin-predominant DM. However, a quarter of amyopathic patients still fail the criteria and does not meet the disease classification. What does this study add? A list of 25 potential criteria divided into categories of distribution, morphology, symptomatology, pathology and contextual factors has been generated after several rounds of consensus exercise among experts in the field of DM. This Delphi project is a prerequisite to the development of a validated classification criteria set for skin-predominant DM. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.
Authors: Hideyuki Ujiie; David Rosmarin; Michael P Schön; Sonja Ständer; Katharina Boch; Martin Metz; Marcus Maurer; Diamant Thaci; Enno Schmidt; Connor Cole; Kyle T Amber; Dario Didona; Michael Hertl; Andreas Recke; Hanna Graßhoff; Alexander Hackel; Anja Schumann; Gabriela Riemekasten; Katja Bieber; Gant Sprow; Joshua Dan; Detlef Zillikens; Tanya Sezin; Angela M Christiano; Kerstin Wolk; Robert Sabat; Khalaf Kridin; Victoria P Werth; Ralf J Ludwig Journal: Front Med (Lausanne) Date: 2022-06-09
Authors: Joaquín Sastre; Esther Serra Baldrich; José Carlos Armario Hita; L Herráez; Ignacio Jáuregui; Ana Martín-Santiago; Javier Ortiz de Frutos; Juan Francisco Silvestre; Antonio Valero Journal: Dermatol Res Pract Date: 2020-04-07