Background: Currently, there is a lack of data regarding the reliability of different anthropometric, instrumental, and biochemical indexes in detecting metabolic syndrome (MetS) in pediatric patients with Prader–Willi syndrome (PWS). Therefore, this study aimed to compare the accuracy of different indices to identify the simplest and most accurate predictor of MetS in this at-risk population. Methods: We conducted a multicenter study involving 124 children and adolescents with PWS (61 males and 63 females), aged 13.6 ± 3.7 years. For each participant, we assessed all components of MetS, defined according to either the Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS (IDEFICS) study or the International Diabetes Federation (IDF) criteria, based on age. The following indexes were calculated: Body Mass Index (BMI), BMI standard deviation score (BMI-SDS), tri-ponderal mass index, body mass fat index, fat mass index, fat-free mass index, body shape index, visceral adiposity index, waist-to-height ratio, cardiometabolic index, total cholesterol/high-density lipoprotein cholesterol (HDL-C) ratio, and triglycerides/HDL-C (TG/HDL-C) ratio. Results: MetS was identified in 24 subjects (9 females and 15 males), representing 19.4% of the sample. When comparing the receiver operating characteristic (ROC) curves, the TG/HDL-C ratio and cardiometabolic index demonstrated significantly better performance than the other indices in detecting MetS, with no difference between the two. As a result, we focused on the TG/HDL-C ratio since it is the simplest measure, requiring no additional anthropometric data compared to the cardiometabolic index. Additionally, applying age- and gender-specific thresholds can further improve its accuracy. Conclusions: The TG/HDL-C ratio, which requires only two standard biochemical markers, provides the same accuracy as more complex indexes in detecting MetS in children and adolescents with PWS, making it the optimal predictor for MetS in this population.

Background: As of February 2020, the rise of COVID-19 cases led to significant pressures in the Northern parts of Italy, including the province of Bolzano (a small territorial reality on the border between Italy and Austria), and left the Italian National Health System (NHS) unprepared for the initial wave of the SARS-CoV-2 pandemic. Objective/Methods: By dividing the analyses into two phases, the study assesses the effect of COVID-19 for the years 2018–2019 and 2020–2021. The first phase highlights the hospitalization rates in the Province of Bolzano in comparison to other Italian regions. In the second step, the Systematic Component of Variation (SCV) has been applied to calculate the differences between the admission rates for the elective surgery (tonsillectomy, vein stripping, hip replacement, knee replacement, and arthroscopy) in the four health districts (HDs) of the Province of Bolzano. Results: Overall, the findings demonstrate that the effect of COVID-19 cases has resulted in a 20% reduction in hospitalization rates. A variation of less than 30% for knee and hip replacements and up to 75% for vein stripping is seen for elective surgeries. According to the SCV values for each elective procedure, the results indicate comparable levels of variation across the two time periods, with tonsillectomy showing the lowest levels of variation, arthroscopy and vein stripping having the highest levels, hip replacement having a high level and knee replacement having a low-medium level. Conclusions: The data show no significant changes in the variation between the four HDs in the province of Bolzano, suggesting that the COVID-19 cases have a proportionate impact on hospitalization rates.