Validation of a morphological hidradenitis suppurativa phenotype algorithm (HS-KAPPA)
HS-KAPPA, an accessible hidradenitis suppurativa (HS) phenotype algorithm, was developed to reliably categorize patients with HS based on morphology. We validated HS-KAPPA with a reproducible training module. HS-KAPPA could be helpful in clinical practice and in clinical trials.
Authors
- C. Snyder (ORCID: https://orcid.org/0000-0002-6917-5277)
- Martina Lee Porter (ORCID: https://orcid.org/0000-0002-4738-4385)
- Alexa B. Kimball (ORCID: https://orcid.org/0000-0001-9405-0479)
- Ruby S Gibson
- Anusha Kumar (ORCID: https://orcid.org/0000-0002-2986-5724)
- Sophio Kirimlishvili
Institutions
- Tulane University (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard Affiliated Emergency Medicine Residency (US)
- Dell Children's Medical Center of Central Texas (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- British Journal of Dermatology
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1093/bjd/ljaf276
- Primary Topic
- Hidradenitis Suppurativa and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bristol-Myers Squibb
- National Psoriasis Foundation
- Eli Lilly and Company
- Pfizer
- Sanofi
- Harvard University
- Harvard Catalyst
- Regeneron Pharmaceuticals
- Incyte
- National Institutes of Health
- National Center for Advancing Translational Sciences