Can hidradenitis suppurativa patients classify their lesions by means of a digital lesion identification scheme?. (31st January 2023)

• Record Type: Journal Article
• Authors: Schultheis, Michael; Staubach‐Renz, Petra; Grabbe, Stephan; Hennig, Katharina; Khoury, Fareed; Nikolakis, Georgios; Kirschner, Uwe
• Is Part Of: Journal der Deutschen Dermatologischen Gesellschaft. Volume 21:Number 1(2023)
• Page Start: 27
• Page End: 32
• Publication Date: 2023-01-31
• Subjects: Skin -- Diseases -- Periodicals; Dermatology -- Periodicals; 616.5005
• DOI: 10.1111/ddg.14926
• Languages: English
• ISSNs: 1610-0379

Abstract

Summary: 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.