Trends and cyclic variation in the incidence of childhood type 1 diabetes in two Italian regions over 33 years and during the COVID-19 pandemic.

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.

Trauma workload during COVID19 lockdown: an analysis of incidence in 4 million people.

BACKGROUND: Aim of this study is to report the trauma workload during COVID19 lockdown in a region of four million people and to compare it with the same period in 2019. METHODS: The regional register for A&E admissions and hospitalizations has been reviewed in order to compare the number of A&D admission, the triage colour codes rates, aetiology of trauma, number of patients hospitalized for trauma, number of fractures that required surgery, type of fractures and injuries and mean patients' age. RESULTS: During lockdown 7314 patients were admitted in A&E, while 22,508 patients were admitted in 2019. In 2020 and 2019 triage codes were respectively distributed as follows: red code 0.1% vs 0.2%, yellow code 8.9% vs 6.3%, green code 84% vs 84.7% and white code 6% vs 8.8%. (p = 0.042). The number of hospitalized patients for trauma was 670 in 2020, while in 2019 was 1774 (p = 0.02). The most common fracture that required surgery was femur fracture (409 in 2020 vs 635 in 2019); fracture subtype distribution and mean age of the patients were significantly different in the two groups (respectively p < 0.01 and p = 0.02). CONCLUSIONS: One month of lockdown showed a 68% decrease in the number of A&E visits and a 74% decrease of fractures that required surgery. Femur fracture showed the lowest decrease moving from 635 to 409 units but increasing their incidence rate (42 to 61%).