4.4 Article

Diagnostic Criteria of Ulcerative Pyoderma Gangrenosum A Delphi Consensus of International Experts

Journal

JAMA DERMATOLOGY
Volume 154, Issue 4, Pages 461-466

Publisher

AMER MEDICAL ASSOC
DOI: 10.1001/jamadermatol.2017.5980

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Funding

  1. Howard Hughes Medical Institute
  2. Burroughs Wellcome Fund
  3. National Institutes of Health [DP20D008752]

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IMPORTANCE Pyoderma gangrenosum is a rare inflammatory skin condition that is difficult to diagnose. Currently, it is a diagnosis of exclusion, a definition not compatible with clinical decision making or inclusion for clinical trials. OBJECTIVE To propose and validate diagnostic criteria for ulcerative pyoderma gangrenosum. EVIDENCE REVIEW Diagnostic criteria were created following a Delphi consensus exercise using the RAND/UCLA Appropriateness Method. The criteria were validated against peer-reviewed established cases of pyoderma gangrenosum and mimickers using k-fold cross-validation with methods of multiple imputation. FINDINGS Delphi exercise yielded 1 major criterion biopsy of ulcer edge demonstrating neutrophilic infiltrate and 8 minor criteria: (1) exclusion of infection; (2) pathergy; (3) history of inflammatory bowel disease or inflammatory arthritis; (4) history of papule, pustule, or vesicle ulcerating within 4 days of appearing; (5) peripheral erythema, undermining border, and tenderness at ulceration site; (6) multiple ulcerations, at least 1 on an anterior lower leg; (7) cribriform or wrinkled paper scar(s) at healed ulcer sites; and (8) decreased ulcer size within 1 month of initiating immunosuppressive medication(s). Receiver operating characteristic analysis revealed that 4 of 8 minor criteria maximized discrimination, yielding sensitivity and specificity of 86% and 90%, respectively. CONCLUSIONS AND RELEVANCE. This Delphi exercise produced 1 major criterion and 8 minor criteria for the diagnosis of ulcerative pyoderma gangrenosum. The criteria may serve as a guideline for clinicians, allowing for fewer misdiagnoses and improved patient selection for clinical trials.

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