Dermatology
http://hdl.handle.net/20.500.12904/185
2024-03-28T07:55:36ZDaylight photodynamic therapy as a treatment for for actinic field change in patients diagnosed with Oculocutaneous albinism in Sub-Saharan Africa
http://hdl.handle.net/20.500.12904/17958
Daylight photodynamic therapy as a treatment for for actinic field change in patients diagnosed with Oculocutaneous albinism in Sub-Saharan Africa
Twigg, Emily; Sharp, Andrew; Roberts, Elizabeth
Background: Oculocutaneous albinism (OCA) is a genetically inherited condition, whereby melanin is reduced or absent in the skin. A lack of melanin predisposes patients to actinic damage and skin malignancies. In Tanzania, a resource-limited country, the treatment of choice for pre-cancerous skin lesions is cryotherapy. Objectives: To investigate whether daylight PDT is a safe and well-tolerated treatment for actinic field change in the OCA population in Tanzania. Methods: 12 participants with actinic damage were recruited from a Standing Voice skin surveillance clinic and treated with dPDT. Study participants completed tolerability and acceptability questionnaires at day 5 and 3-months post-treatment. A dermatologist assessed clinical response to dPDT at 3 months. Results: Daylight PDT was well-tolerated and acceptable to the majority of patients. Actinic damage was reduced by 25-90%. No skin cancers developed during the treatment. Conclusions: This pilot study suggests that dPDT is a safe and tolerable treatment for actinic damage in the OCA population in Tanzania. Further work is required to compare the efficacy of dPDT against other topical therapies for actinic field change.
2023-11-23T00:00:00ZSedentary behaviour and disease risk
http://hdl.handle.net/20.500.12904/17777
Sedentary behaviour and disease risk
Henson, Joseph
Sedentary behaviour has become the new reference of living, which has paralleled the increase in the prevalence of multiple chronic diseases. Here, we highlight the evidence to date and propose specific topics of interest for the Collection at BMC Public Health, titled "Sedentary behaviour and disease risk".
2023-10-19T00:00:00ZCathepsin-C mutation in an individual with phenotypic features of Haim-Munk syndrome: A case report
http://hdl.handle.net/20.500.12904/17663
Cathepsin-C mutation in an individual with phenotypic features of Haim-Munk syndrome: A case report
Gnanappiragasam, Dushyanth; Scorer, Matthew
Haim-Munk syndrome and Papillon-Lefèvre syndrome are rare genodermatoses caused by mutations in the cathepsin C (CTSC) gene. They both cause palmoplantar keratoderma and are associated with periodontitis. Existing literature reports additional Haim-Munk syndrome characteristics including pes planus, radiographic deformity of the fingers and arachnodactyly, whilst Papillon-Lefèvre syndrome is associated with intracranial calcification and susceptibility to infection. We report a variant in CTSC which has previously been described in Papillon-Lefèvre syndrome but has not previously been reported in Haim-Munk syndrome. Our patient's presentation supports the suggestion that Papillon-Lefèvre syndrome and Haim-Munk syndrome are a spectrum of diseases which are caused by CTSC mutations, with significant overlap in their phenotypic features. This genetic report adds to the literature to improve our understanding of these rare, clinically related syndromes.
0026-01-01T00:00:00ZPerformance of ChatGPT on dermatology Specialty Certificate Examination multiple choice questions
http://hdl.handle.net/20.500.12904/17407
Performance of ChatGPT on dermatology Specialty Certificate Examination multiple choice questions
Wernham, Aaron
ChatGPT is a large language model trained on increasingly large datasets by OpenAI to perform language-based tasks. It is capable of answering multiple-choice questions, such as those posed by the dermatology SCE examination. We asked two iterations of ChatGPT: ChatGPT-3.5 and ChatGPT-4 84 multiple-choice sample questions from the sample dermatology SCE question bank. ChatGPT-3.5 achieved an overall score of 63.1%, and ChatGPT-4 scored 90.5% (a significant improvement in performance (p<0.001)). The typical pass mark for the dermatology SCE is 70-72%. ChatGPT-4 is therefore capable of answering clinical questions and achieving a passing grade in these sample questions. There are many possible educational and clinical implications for increasingly advanced artificial intelligence (AI) and its use in medicine, including in the diagnosis of dermatological conditions. Such advances should be embraced provided that patient safety is a core tenet, and the limitations of AI in the nuances of complex clinical cases are recognised.
2023-06-02T00:00:00Z