Can hidradenitis suppurativa patients classify their lesions by means of a digital lesion identification scheme?

J Dtsch Dermatol Ges. 2023 Jan;21(1):27-32. doi: 10.1111/ddg.14926.

Abstract

Background and objectives: Hidradenitis suppurativa (HS) differs widely with respect to its clinical presentation. Literature imposes different phenotypes potentially implying different treatment modalities. The aim of this study is to develop a validated scheme that enables HS patients to identify their own lesion types.

Patients and methods: The developed schemes for physicians and patients were implemented in a specific software. Upon patient consent, the physician used the software to document the lesions identified. Patients subsequently logged into the patient-version of the software from the convenience of their home and selected the lesions they identified on themselves. Afterwards the correlation between professionals and patients was tested.

Results: For seven lesion types, correlation coefficients were statistically significant. A large/strong correlation between patients and physicians was found for the draining fistulas (0.59) and double-ended comedones (0.50). For five other lesion types, correlation was medium/moderate, namely the inflammatory nodule (0.37), abscess (0.30), accordion like-/ bridged scar (0.45), epidermal cyst (0.33) and pilonidal sinus (0.39).

Conclusions: HS-patients demonstrate high willingness to share their experiences and data. Therefore, a self-assessment scheme, as the developed LISAI, can be a valuable tool to enrich patient surveys with the identification of lesion types, for instance as a basis for phenotyping.

MeSH terms

  • Abscess
  • Acne Vulgaris*
  • Cicatrix
  • Epidermal Cyst*
  • Hidradenitis Suppurativa* / diagnosis
  • Humans