Generation of a Core Set of Items to Develop Classification Criteria for Scleroderma Renal Crisis Using Consensus Methodology. Issue 6 (12th April 2019)

• Record Type: Journal Article
• Authors: Butler, Emily‐Ann; Baron, Murray; Fogo, Agnes B.; Frech, Tracy; Ghossein, Cybele; Hachulla, Eric; Hoa, Sabrina; Johnson, Sindhu R.; Khanna, Dinesh; Mouthon, Luc; Nikpour, Mandana; Proudman, Susanna; Steen, Virginia; Stern, Edward; Varga, John; Denton, Christopher; Hudson, Marie
• Other Names: Barnado April investigator.; Bernstein Elana J. investigator.; Boin Francesco investigator.; Braun‐Moscovici Yolanda investigator.; Castelino Flavia V. investigator.; Catoggio Luis J. investigator.; Matucci‐Cerinic Marco investigator.; Chung Lorinda investigator.; Clements Philip investigator.; Csuka Mary Ellen investigator.; De Langhe Ellen investigator.; Distler Jörg investigator.; Distler Oliver investigator.; Farge Dominique Claire investigator.; Fischer Aryeh investigator.; Gabrielli Armando investigator.; Hasegawa Minoru investigator.; Hayat Samina investigator.; Herrick Ariane investigator.; Hesselstrand Roger investigator.; Hsu Vivien investigator.; Hughes Michael investigator.; Hunzelmann Nicolas investigator.; Hummers Laura investigator.; Iannone Florenzo investigator.; Ingegnoli Francesca investigator.; Jacobsen Soren investigator.; Kawaguchi Yasushi investigator.; Koenig Martial investigator.; Kuwana Masataka investigator.; Lenaerts Jan investigator.; Martin Thierry investigator.; Mayes Maureen D. investigator.; McMahan Zsuzsanna investigator.; Medsger Thomas investigator.; Merkel Peter investigator.; Narain Sonali investigator.; Ong Voon investigator.; Pauling John D. investigator.; Pope Janet investigator.; de la Puente Bujidos Carlos investigator.; Rischmueller Maureen investigator.; Rodríguez‐Reyna Tatiana Sofía investigator.; Sahhar Joanne investigator.; Saketkoo Lesley Ann investigator.; Senécal Jean‐Luc investigator.; Shah Ankoor investigator.; Shah Ami A. investigator.; Sifuentes‐Giraldo Walter Alberto investigator.; Silver Richard investigator.; Stevens Wendy investigator.; Sutton Evelyn investigator.; Thakkar Vivek investigator.; Valentini Gabriele investigator.; de Vries‐Bouwstra Jeska investigator.; Vonk Madelon investigator.; Walker Ulrich A. investigator.;
• Is Part Of: Arthritis & rheumatology. Volume 71:Issue 6(2019)
• Page Start: 964
• Page End: 971
• Publication Date: 2019-04-12
• Subjects: Arthritis -- Periodicals; Rheumatism -- Periodicals; 616.72
• DOI: 10.1002/art.40809
• Languages: English
• ISSNs: 2326-5191

Abstract

Abstract : Objective: To generate a core set of items to develop classification criteria for scleroderma renal crisis (SRC) using consensus methodology. Methods: An international, multidisciplinary panel of experts was invited to participate in a 3‐round Delphi exercise developed using a survey based on items identified by a scoping review. In round 1, participants were asked to identify omissions and clarify ambiguities regarding the items in the survey. In round 2, participants were asked to rate the validity and feasibility of the items using Likert‐type scales ranging from 1 to 9 (where 1 = very invalid/unfeasible, 5 = uncertain, and 9 = very valid/feasible). In round 3, participants reviewed the results and comments from round 2 and were asked to provide final ratings. Items rated as highly valid and feasible (median scores ≥7 for each) in round 3 were selected as the provisional core set of items. A consensus meeting using a nominal group technique was conducted to further reduce the core set of items. Results: Ninety‐nine experts from 16 countries participated in the Delphi exercise. Of the 31 items in the survey, consensus was achieved on 13, in the categories hypertension, renal insufficiency, proteinuria, and hemolysis. Eleven experts took part in the nominal group technique discussion, where consensus was achieved in 5 domains: blood pressure, acute kidney injury, microangiopathic hemolytic anemia, target organ dysfunction, and renal histopathology. Conclusion: A core set of items that characterize SRC was identified using consensus methodology. This core set will be used in future data‐driven phases of this project to develop classification criteria for SRC.