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Objective: There is growing interest in the early identification of patients with axial PsA (axPsA). We aimed to evaluate whether a dermatology-based screening strategy could help to identify axPsA patients., Methods: The dermatologist-centred screening (DCS) questionnaire was administrated by dermatologists to consecutive patients fulfilling the inclusion criteria [(i) age ≥18 years and (ii) clinical diagnosis of psoriasis made by a dermatologist] to identify patients eligible (affirmative answers 1-3c of the DCS) for rheumatological evaluation. Clinical, laboratory, genetic and imaging data were collected from all referred patients., Results: Among the 365 patients screened, 265 fulfilled the inclusion criteria and 124/265 (46.8%) were eligible for rheumatological referral. Diagnosis of axPsA, with or without peripheral PsA (pPsA), was made in 36/124 (29.0%) patients; pPsA without axial involvement was found in 21/124 (16.9%) patients. Back pain at screening was recorded in 174 (66%) patients, with 158 (60%) reporting a back pain duration longer than 3 months and 140 (53%) reporting back pain onset before the age of 45 years. Active inflammatory and/or structural post-inflammatory changes in the sacroiliac joints and/or spine were observed in all axPsA patients. Patients with PsA showed a numerically longer duration of back pain and higher CRP levels in comparison with patients with psoriasis without PsA., Conclusion: The DCS tool proved to be a valuable screening strategy for detecting and characterizing patients with axPsA in a real-life cohort of psoriasis patients in a dermatological setting and helped to identify a substantial number of patients affected by undiagnosed pPsA., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology.)

Aim: There is conflicting evidence about the impact of the COVID-19 pandemic on the incidence of type 1 diabetes. Here, we analysed long-term trends in the incidence of type 1 diabetes in Italian children and adolescents from 1989 to 2019 and compared the incidence observed during the COVID-19 pandemic with that estimated from long-term data., Materials and Methods: This was a population-based incidence study using longitudinal data from two diabetes registries in mainland Italy. Trends in the incidence of type 1 diabetes from 1 January 1989 to 31 December 2019 were estimated using Poisson and segmented regression models., Results: There was a significant increasing trend in the incidence of type 1 diabetes of 3.6% per year [95% confidence interval (CI): 2.4-4.8] between 1989 and 2003, a breakpoint in 2003, and then a constant incidence until 2019 (0.5%, 95% CI: -1.3 to 2.4). There was a significant 4-year cycle in incidence over the entire study period. The rate observed in 2021 (26.7, 95% CI: 23.0-30.9) was significantly higher than expected (19.5, 95% CI: 17.6-21.4; p = .010)., Conclusion: Long-term incidence analysis showed an unexpected increase in new cases of type 1 diabetes in 2021. The incidence of type 1 diabetes now needs continuous monitoring using population registries to understand better the impact of COVID-19 on new-onset type 1 diabetes in children., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)