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3 result(s) for "Lioupis, Matteo"
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Fat grafting in breast surgery: a retrospective single-breast centre 6-year experience
Purpose In recent years, fat grafting has gained importance as a valuable technique in breast surgery. As a breast center that has embraced this approach, we aimed to investigate the indications and complications of fat grafting. Methods In this retrospective study, we examined a total of 263 lipofilling treatments on 121 patients. Five groups were identified: the reconstruction group (72.7%), consisting of 24.8% autologous and 38% implant-based reconstructions after cancer, and correction of the tuberous breasts (10.7%). An almost equivalent group (10.7%), consisted of patients treated for cosmetic reasons. Patients after breast-conserving therapy amounted to 16.5%. Twenty patients (16.5%) were treated to alleviate pain. Results No major complications, and no cancer recurrence or metastasis were observed. One case of infection occurred at the injection site (infection rate: 0.38%). ANOVA showed statistically significant results for age ( p  < 0.001) and mean fat volume ( p  = 0.001). Posthoc analysis showed that the mean age of the tuberous group (21 years) was significantly smaller compared to all other categories ( p  < 0.001). Post-hoc analysis for fat volume indicated that the mean value for the cosmetic category (447.08 cc) was significantly greater than that of the breast-conserving and implant reconstruction categories ( p  = 0.009 and p  = 0.030, respectively), while not significantly different from the tuberous and autologous reconstruction categories ( p  = 0.928 and p  = 0.648, respectively). Conclusions Lipofilling has proven a valuable adjunct in reconstructive and aesthetic breast surgery with a low complication profile. The versatility of this low-cost technique and the low rate of complications make it a powerful asset of modern breast centers.
COVID-19 Unmasked Global Collaboration Protocol: longitudinal cohort study examining mental health of young children and caregivers during the pandemic
Background: Early empirical data shows that school-aged children, adolescents and adults are experiencing elevated levels of anxiety and depression during the COVID-19 pandemic. Currently, there is very little research on mental health outcomes for young children. Objectives: To describe the formation of a global collaboration entitled, 'COVID-19 Unmasked'. The collaborating researchers aim to (1) describe and compare the COVID-19 related experiences within and across countries; (2) examine mental health outcomes for young children (1 to 5 years) and caregivers over a 12-month period during the COVID-19 pandemic; (3) explore the trajectories/time course of psychological outcomes of the children and parents over this period and (4) identify the risk and protective factors for different mental health trajectories. Data will be combined from all participating countries into one large open access cross-cultural dataset to facilitate further international collaborations and joint publications. Methods: COVID-19 Unmasked is an online prospective longitudinal cohort study. An international steering committee was formed with the aim of starting a global collaboration. Currently, partnerships have been formed with 9 countries (Australia, Cyprus, Greece, the Netherlands, Poland, Spain, Turkey, the UK, and the United States of America). Research partners have started to start data collection with caregivers of young children aged 1-5 years old at baseline, 3-months, 6-months, and 12-months. Caregivers are invited to complete an online survey about COVID-19 related exposure and experiences, child's wellbeing, their own mental health, and parenting. Data analysis: Primary study outcomes will be child mental health as assessed by scales from the Patient-Reported Outcomes Measurement Information System - Early Childhood (PROMIS-EC) and caregiver mental health as assessed by the Depression Anxiety Stress Scale (DASS-21). The trajectories/time course of mental health difficulties and the impact of risk and protective factors will be analysed using hierarchical linear models, accounting for nested effects (e.g. country) and repeated measures. This article describes the formation of a global collaboration between 9 countries that are collecting data to examine mental health outcomes for young children (1 to 5 years) and caregivers over a 12-month period during the COVID-19 pandemic.