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This observational study evaluated the impact of a sponsor company-provided Patient Support Program (PSP) on discontinuation of adalimumab in adult Australian patients eligible for Pharmaceutical Benefit Scheme (PBS)-reimbursed adalimumab for Rheumatoid Arthritis (RA), Ankylosing Spondylitis (AS), Psoriatic Arthritis (PsA), Crohn's Disease (CD), Ulcerative Colitis (UC), or Hidradenitis Suppurativa (HS). Patients initiating adalimumab between May 2018 and September 2019 were enrolled into two prospective cohorts based on their decision to opt for or decline the PSP (PSP or non-PSP cohorts). In addition, a historical, retrospective Non-PSP cohort was established from the Services Australia 10% PBS dataset by extracting data of patients initiating adalimumab prior to the introduction of adalimumab PSPs and based on adalimumab PBS listing dates (AS: April 2007 to March 2009; PsA/RA: January 2007 to December 2008; CD: January 2009 to December 2010; HS and UC indications not included). Follow-up for all cohorts was 12 months. The primary endpoint was the time to discontinuation, compared between the prospective PSP cohort and the prospective or retrospective Non-PSP cohort. Inverse probability of treatment weighting was used to balance the cohorts. A Cox proportional hazards model indicated no difference in time to discontinuation between the prospective PSP (n = 162) and non-PSP (n = 65) cohorts (HR [95% CI] = 1.256 [0.616–2.563], p = 0.5304). The 12-month adalimumab persistence rates (95% CI) were 78% (69%, 84%) and 82% (67%, 90%), respectively. In contrast, discontinuation was less likely in the prospective PSP (n = 151) compared with the retrospective non-PSP (n = 297) cohort (HR [95% CI] = 0.44 [0.28–0.68], p<0.001). The 12-month persistence rates (95% CI) were 81% (76%, 90%) and 61% (56%, 67%), respectively. Overall, this study suggests that optimal adalimumab persistence can be achieved with either a structured PSP or healthcare support from other sources, but this was not the case more than a decade ago. [ABSTRACT FROM AUTHOR]

Background: Drug survival, which refers to the time from treatment initiation to discontinuation, provides a surrogate measure of the effectiveness of a biologic in a real‐world setting (J Invest Dermatol, 2015, 135, 1). The aim of this study was to determine the drug survival of biologics that are currently available in Australia. We also analysed the treatment efficacy of these biologics and reasons for discontinuation. Methods: Retrospective data from outpatient Dermatology biologic clinics in Westmead Hospital and Royal Prince Alfred Hospital (Sydney, Australia) from April 2006 to December 2020 were collected. Kaplan–Meier analysis was used to calculate drug survival. Results: A total of 306 patients who underwent 566 treatment courses were analysed. Guselkumab was observed to have the longest drug survival, with cumulative drug survival rates of 94.2% ± 4.0 at 1‐ and 5‐years. This was followed by ixekizumab which had a 1‐year survival rate of 87.2% ± 4.5 and 5‐year survival rate of 59.4% ± 9.5. Ixekizumab and guselkumab were also noted to have superior treatment efficacy compared with other biologics, with PASI‐75 rates of 94.9% and 93.8%, respectively. The most common reasons for treatment discontinuation were a lack of initial efficacy to treatment and a loss of efficacy over time despite an initial response, respectively. Conclusion: To our knowledge, this is the first Australian study to report on outcomes of multiple new biologics that are currently in use for the treatment of chronic plaque psoriasis. Overall, this study provides insight into patterns of care from a local experience that may help guide the management of moderate‐to‐severe psoriasis. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) is the ability for computers to simulate human intelligence. In dermatology, there is substantial interest in using AI to identify skin lesions from images. Due to increasing research and interest in the use of AI, the Australasian College of Dermatologists has developed a position statement to inform its members of appropriate use of AI. This article presents the ACD Position Statement on the use of AI in dermatology, and provides explanatory information that was used to inform the development of this statement. [ABSTRACT FROM AUTHOR]

Overdiagnosis of early melanoma is a significant problem. Due to subtle unique and overlapping clinical and histological criteria between pigmented lesions and the risk of mortality from melanoma, some benign pigmented lesions are diagnosed as melanoma. Although histopathology is the gold standard to diagnose melanoma, there is a demand to find alternatives that are more accurate and cost‐effective. In the current "omics" era, there is gaining interest in biomarkers to help diagnose melanoma early and to further understand the mechanisms driving tumor progression. Genomic investigations have attempted to differentiate malignant melanoma from benign pigmented lesions. However, genetic biomarkers of early melanoma diagnosis have not yet proven their value in the clinical setting. Protein biomarkers may be more promising since they directly influence tissue phenotype, a result of by‐products of genomic mutations, posttranslational modifications and environmental factors. Uncovering relevant protein biomarkers could increase confidence in their use as diagnostic signatures. Currently, proteomic investigations of melanoma progression from pigmented lesions are limited. Studies have previously characterised the melanoma proteome from cultured cell lines and clinical samples such as serum and tissue. This has been useful in understanding how melanoma progresses into metastasis and development of resistance to adjuvant therapies. Currently, most studies focus on metastatic melanoma to find potential drug therapy targets, prognostic factors and markers of resistance. This paper reviews recent advancements in the genomics and proteomic fields and reports potential avenues, which could help identify and differentiate melanoma from benign pigmented lesions and prevent the progression of melanoma. [ABSTRACT FROM AUTHOR]