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Background: We aimed to investigate the variation of medical and surgical activities in pediatric orthopedics in Italy, during the year of the COVID-19 pandemic, in comparison with data from the previous two years. The differences among the first wave, phase 2 and second wave were also analyzed., Methods: We conducted a retrospective multicenter study regarding the clinical and surgical activities in pediatric orthopedics during the pandemic and pre-pandemic period. The hospital databases of seven tertiary referral centers for pediatric orthopedics and traumatology were queried for events regarding pediatric orthopedic patients from 1 March 2018 to 28 February 2021. Surgical procedures were classified according to the "SITOP Priority Panel". An additional classification in "high-priority" and "low-priority" surgery was also applied., Results: Overall, in 2020, we observed a significant drop in surgical volumes compared to the previous two years. The decrease was different across the different classes of priority, with "high-priority" surgery being less influenced. The decrease in emergency department visits was almost three-fold greater than the decrease in trauma surgery. During the second wave, a lower decline in surgical interventions and a noticeable resumption of "low-priority" surgery and outpatient visits were observed., Conclusion: Our study represents the first nationwide survey quantifying the impact of the COVID-19 pandemic on pediatric orthopedics and traumatology during the first and second wave.

Lung infection named as COVID-19 is an infectious disease caused by the most recently discovered coronavirus 2 (SARS-CoV-2). CT (computed tomography) has been shown to have good sensitivity in comparison with RT-PCR, particularly in early stages. However, CT findings appear to not always be related to a certain clinical severity. The aim of this study is to evaluate a correlation between the percentage of lung parenchyma volume involved with COVID-19 infection (compared to the total lung volume) at baseline diagnosis and correlated to the patient's clinical course (need for ventilator assistance and or death). All patients with suspected COVID-19 lung disease referred to our imaging department for Chest CT from 24 February to 6 April 2020were included in the study. Specific CT features were assessed including the amount of high attenuation areas (HAA) related to lung infection. HAA, defined as the percentage of lung parenchyma above a predefined threshold of -650 (HAA%, HAA/total lung volume), was automatically calculated using a dedicated segmentation software. Lung volumes and CT findings were correlated with patient's clinical course. Logistic regressions were performed to assess the predictive value of clinical, inflammatory and CT parameters for the defined outcome. In the overall population we found an average infected lung volume of 31.4 ± 26.3% while in the subgroup of patients who needed ventilator assistance and who died as well as the patients who died without receiving ventilator assistance the volume of infected lung was significantly higher 41.4 ± 28.5 and 72.7 ± 36.2 ( p < 0.001). In logistic regression analysis best predictors for ventilation and death were the presence of air bronchogram ( p = 0.006), crazy paving ( p = 0.007), peripheral distribution ( p < 0.001), age ( p = 0.002), fever at admission ( p = 0.007), dyspnea ( p = 0.002) and cardiovascular comorbidities ( p < 0.001). In multivariable analysis, quantitative CT parameters and features added incremental predictive value beyond a model with only clinical parameters (area under the curve, 0.78 vs. 0.74, p = 0.02). Our study demonstrates that quantitative evaluation of lung volume involved by COVID-19 pneumonia helps to predict patient's clinical course.