Abstract: While existing research has explored changes in health behaviours among adults and adolescents due to the COVID-19 outbreak, the impact of quarantine on young children’s well-being is still less clear. Moreover, most of the published studies were carried out on small and non-representative samples. The aim of the EpaS-ISS study was to describe the impact of the COVID-19 pandemic on the habits and behaviours of a representative sample of school children aged mainly 8–9 years and their families living in Italy, exploring the changes in children’s well-being during the COVID-19 pandemic compared to the immediately preceding time period. Methods Data were collected using a web questionnaire. The target population was parents of children attending third-grade primary schools and living in Italy. A cluster sample design was adopted. A Well-Being Score (WBS) was calculated by summing the scores from 10 items concerning the children’s well-being. Associations between WBS and socio-demographic variables and other variables were analysed. Results A total of 4863 families participated. The children’s WBS decreased during COVID-19 (median value from 31 to 25; p  = 0.000). The most statistically significant variables related to a worsening children’s WBS were: time of school closure, female gender, living in a house with only a small and unliveable outdoor area, high parents’ educational level and worsening financial situation. Conclusions According to parents ' perception, changes in daily routine during COVID-19 negatively affected children’s well-being. This study has identified some personal and contextual variables associated with the worsening of children’s WBS, which should be considered in case of similar events.

Abstract: Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violence-related injuries (V) vs . non-violence-related injuries (NV) is thus a relevant task to the ends of devising alerting mechanisms to track (and prevent) violence episodes. Methods We present ViDeS (so dubbed after Violence Detection System ), a system to detect episodes of violence from narrative texts in emergency room reports. It employs a deep neural network for categorizing textual ER reports data, and complements such output by making explicit which elements corroborate the interpretation of the record as reporting about violence-related injuries. To these ends we designed a novel hybrid technique for filling semantic frames that employs distributed representations of terms herein, along with syntactic and semantic information. The system has been validated on real data annotated with two sorts of information: about the presence vs. absence of violence-related injuries, and about some semantic roles that can be interpreted as major cues for violent episodes, such as the agent that committed violence, the victim, the body district involved, etc.. The employed dataset contains over 150K records annotated with class (V,NV) information, and 200 records with finer-grained information on the aforementioned semantic roles. Results We used data coming from an Italian branch of the EU-Injury Database (EU-IDB) project, compiled by hospital staff. Categorization figures approach full precision and recall for negative cases and.97 precision and.94 recall on positive cases. As regards as the recognition of semantic roles, we recorded an accuracy varying from.28 to.90 according to the semantic roles involved. Moreover, the system allowed unveiling annotation errors committed by hospital staff. Conclusions Explaining systems’ results, so to make their output more comprehensible and convincing, is today necessary for AI systems. Our proposal is to combine distributed and symbolic (frame-like) representations as a possible answer to such pressing request for interpretability. Although presently focused on the medical domain, the proposed methodology is general and, in principle, it can be extended to further application areas and categorization tasks.

Abstract: Background: Multisystem Inflammatory Syndrome in Children (MIS-C) is a severe complication of SARS-CoV-2 infection caused by hyperactivation of the immune system. Methods: this is a retrospective analysis of clinical data, biochemical parameters, and immune cell subsets in 40 MIS-C patients from hospital admission to outpatient long-term follow-up. Results: MIS-C patients had elevated inflammatory markers, associated with T- and NK-cell lymphopenia, a profound depletion of dendritic cells, and altered monocyte phenotype at disease onset, while the subacute phase of the disease was characterized by a significant increase in T- and B-cell counts and a rapid decline in activated T cells and terminally differentiated B cells. Most of the immunological parameters returned to values close to the normal range during the remission phase (20–60 days after hospital admission). Nevertheless, we observed a significantly reduced ratio between recently generated and more differentiated CD8+ T- and B-cell subsets, which partially settled at longer-term follow-up determinations. Conclusions: The characterization of lymphocyte distribution in different phases of MIS-C may help to understand the course of diseases that are associated with dysregulated immune responses and to calibrate prompt and targeted treatments.

Abstract: The mechanisms underlying the therapeutic activity of interferon-β in multiple sclerosis are still not completely understood. In the present study, we evaluated the short and long-term effects of interferon-β treatment on different subsets of regulatory T cells in relapsing–remitting multiple sclerosis patients biologically responsive to treatment because of mixovirus resistance protein A inducibility. Methods In this prospective longitudinal study, subsets of natural regulatory T cells (naïve, central memory and effector memory) and inducible regulatory T cells (Tr1), as well as in vitro-induced regulatory T cells (Tr1-like cells), were simultaneously quantified by flow cytometry in samples prepared from 148 therapy-naïve multiple sclerosis patients obtained before and after 6, 12, 18, and 24 months of interferon-β-1a treatment. mRNA for interleukin-10 and Tr1-related genes (CD18, CD49b, and CD46, together with Cyt-1 and Cyt-2 CD46-associated isoforms) were quantified in Tr1-like cells. Results Despite profound inter-individual variations in the modulation of all regulatory T-cell subsets, the percentage of natural regulatory T cells increased after 6, 12, and 24 months of interferon-β treatment. This increase was characterized by the expansion of central and effector memory regulatory T-cell subsets. The percentage of Tr1 significantly enhanced at 12 months of therapy and continued to be high at the subsequent evaluation points. Patients experiencing relapses displayed a higher percentage of naïve regulatory T cells and a lower percentage of central memory regulatory T cells and of Tr1 before starting interferon-β therapy. In addition, an increase over time of central memory and of Tr1 was observed only in patients with stable disease. However, in vitro-induced Tr1-like cells, prepared from patients treated for 24 months, produced less amount of interleukin-10 mRNA compared with pre-treatment Tr1-like cells. Conclusion Interferon-β induces the expansion of T regulatory subsets endowed with a high suppressive activity, especially in clinically stable patients. The overall concurrent modulation of natural and inducible regulatory T-cell subsets might explain the therapeutic effects of interferon-β in multiple sclerosis patients.

Abstract: Introduction The long-term efficacy of allogeneic haematopoietic stem cell transplantation (SCT) relies primarily on the Graft-versus-tumor (GVT) effect, which partially overlaps with Graft versus Host disease (GvHD), the most common cause of morbidity and mortality in SCT. Researches on GVHD-biomarkers are still ongoing and a set of validate markers are still lacking, especially for chronic GVHD. Furthermore, immune parameters that univocally associate with GVHD or GVT have not been identified yet. In this study, lymphocyte subsets together with TCR-repertoire analysis, and index of thymic and bone marrow output were evaluated at different time points, in order to identify possible predictors of GVHD and ineffective GVT. Methods Prospective evaluations of lymphocyte subsets, thymic and bone marrow output were performed in 40 patients before SCT, at 30, 90, 180 days and 1 year after SCT. CD4+/CD8+ naïve, central memory, effector memory, terminally differentiated effector memory (TEMRA) cells, subsets of regulatory T-lymphocytes, immature B cells, naïve, switched and unswitched memory B cells, memory double negative (IgD-CD27-) B cells were analysed by flow cytometry. Analysis of thymic and bone marrow output was performed by detection of T cell receptor excision circles (TRECs) and kappa-deleting recombination circles (KRECs). TRECs and KRECs were simultaneously quantified by a duplex quantitative Real-Time PCR. Heteroduplex assay was used to perform TCR-repertoire analysis. A 2-step multivariate analysis was performed using principal component analysis (PCA) and Cox regression analysis, to solve the problem of the high number of variables (immunological, patients- and transplant related) in comparison with the relatively limited and heterogeneous pool of patients. Results Twenty patients developed acute GVHD (median time: 28 days, range 19-120). Chronic GVHD was observed in 9 patients (median time: 6 months, range 4-10). In multivariate analysis, acute GVHD correlated positively with pre-transplant percentage of CD4+ central memory cells, and with values of regulatory effector memory T-cells and CD4+TEMRA cell at day +30 (p=0,0006). Pre-transplant percentage of unswitched memory B cells was also associated with acute GVHD, whereas pre-transplant levels of KRECs were inversely correlated (p=0,0005). Chronic GVHD was associated with matched unrelated donor and with (p 〈 0,05): -values of regulatory effector memory T-cells at +30, percentage of CD8+TEMRA cells at +90, values of immature B cells and levels of KRECs at +180 (positive correlation) -percentage of CD4+ central memory and CD8+ effector memory cells at +90 (negative correlation). The relapse rate (27%; median time: 5,5 months, range 3-12) was used as clinical index of ineffective GVT. The following cluster of immunological parameters at day +90 correlated positively with relapse: CD8+ effector memory cells, immature B cells, naïve, switched memory B cells, memory double negative (IgD-CD27-) B cells (p=0,006). Discussion Different clusters of immunological parameters at different time points were evidenced as predictors of GVHD and ineffective GVT, allowing a clear-cut distinction between these immunological reactions. Changes in pre- and post-transplant B-lymphopoietic microenvironment and specific imbalances in the subset of B-cells may be involved in acute and chronic GVHD development. The atypical association of regulatory T-cells with GVHD may be explained by the relative efficiency of different subsets of regulatory T-cells (naïve 〉 effector memory), as shown in some experimental models. Increased values of CD8+ effector memory cells could be an early sign of ineffective GVL. Imbalance toward a lymphocyte B-response, and especially toward "senescent" memory (IgD-CD27-) B cells, could promote tolerance to tumor cells. The validation of these clusters of immunological parameters as specific early predictors of GVHD or GVT, even before SCT, could potentially allow the development of pre-emptive and targeted therapies. Disclosures No relevant conflicts of interest to declare.

Abstract: Introduction: The role of minimal residual disease (MRD) in Multiple Myeloma (MM) as a surrogate biomarker of patients' outcome, as well as the prognostic information of functional imaging response after treatment have been established in recent years. Furthermore, the predictive relevance of sustained MRD negativity assessed by marrow and imaging techniques and its association with an excellent outcome is emerging in clinical trials. Diffusion-weighted whole-body MRI (DW-MRI) is increasingly used in the management of MM patients, but data regarding the predictive role of sustained DW-MRI response after treatment are lacking. The Myeloma Response Assessment and Diagnosis System (MY-RADS) recommendations have established criteria for Response Assessment Category (RAC) (Messiou C et al, Radiology 2019) with a 5 point scale defining the probability of complete imaging response (i.e. RAC 1) or progressive disease after treatment (i.e. RAC 5). We implemented the RAC criteria in our clinical practice and DW-MRI at 1-year in MM patients treated with autologous stem cell transplantation (ASCT) followed by maintenance therapy. Patients and methods: We retrospectively analyzed the outcome of 57 newly diagnosed MM patients (median age 61 years) diagnosed at our institution from January 2015 to December 2019 receiving maintenance therapy after ASCT. Patients underwent DW-MRI evaluation according to MY-RADS criteria at day +100 after ASCT, before maintenance, and after 1 year with the aim of monitoring imaging residual disease. Bone marrow samples were collected for MRD assessment by 8-color FCM (sensitivity 10-5) at day +100 after ASCT, before maintenance, and after 1 year. We focused on sustained 1-year DW-MRI negativity evaluated according to RAC response, and its potential predictive role at that timepoint on progression free survival (PFS) and overall survival (OS). In patients with available 1-year MRD evaluations, concordance between 1-year MRD and DW-MRI results was calculated and the level of agreement was expressed by Cohen's kappa statistics. Results: Out of 57 patients, 23 (40%) were ISS stage 3 and 14 (25%) showed high risk cytogenetics. Patients were treated with the following induction regimens: VTD 42, VRD 5, Dara-VRD 6, KRD 3, KCD 1. Single ASCT with MEL200 conditioning was performed in 33 patients (58%), whereas 24 patients (42%) received double ASCT. Subsequent maintenance was performed with lenalidomide (49 patients, 86%) or daratumumab-lenalidomide (8 patients, 14%). Response rates after ASCT were PR 9%, VGPR 23%, CR 51% and sCR 17%. According to MY-RADS, a complete imaging response (RAC1) at day +100 after ASCT was observed in 34 patients (60%). Sustained 1 year complete imaging response during maintenance therapy was observed in 43 patients (75%). Some residual disease was identified at that timepoint in 14 patients (25%) [RAC 2: 6 (11%), RAC & gt; 2: 8 (14%)]. After a median follow up of 36 months, PFS and OS were significantly longer in patients with sustained 1-year imaging negativity, compared to patients with imaging residual disease (RAC 1 vs RAC ≥2): median PFS 56 vs 24,1 months, p & lt;0,0001, HR 0,11 (95% CI: 0,030-0,382); median OS NR vs 40,5 months, p & lt; 0,0001, HR 0,05 (95% CI: 0,006-0,364). MRD at 1-year timepoint was available in 30 patients and was negative in 28 (93%) cases. Concordance between 1-year DW-MRI and MRD results was high (97%, kappa 0,783: 7% both positive, 90% both negative). Conclusion: Our real-life data analysis confirms the predictive value of imaging residual disease assessment with DW-MRI after ASCT and highlights the importance of achieving sustained imaging MRD negativity during maintenance therapy regardless of different treatment strategies. Moreover, given the high rates of CR seen in patients with MM with novel effective treatment combinations, the detection of residual disease with the combined evaluation of marrow and functional imaging techniques during maintenance therapy can help the physician to identify patients with increased risk of early relapse and particularly poor prognosis. Our preliminary data regarding the high concordance observed between DW-MRI and MRD results during maintenance therapy suggest that DW-MRI could represent a reliable non-invasive technique to monitor residual disease. Disclosures Belotti: Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; GSK: Membership on an entity's Board of Directors or advisory committees. Ribolla: Janssen: Membership on an entity's Board of Directors or advisory committees. Cancelli: Amgen: Membership on an entity's Board of Directors or advisory committees. Roccaro: Amgen, Celgene, Janssen, Takeda: Membership on an entity's Board of Directors or advisory committees; AstraZeneca,: Research Funding; Associazione Italiana per la Ricerca sul Cancro (AIRC): Research Funding; European Hematology Association: Research Funding; Fondazione Regionale per la Ricerca Biomedica (FRRB), Transcan-2 ERA-NET: Research Funding. Rossi: Sanofi: Honoraria; Jazz: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Consultancy, Honoraria; Astellas: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Tucci: janssen: Membership on an entity's Board of Directors or advisory committees; Gentili: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees.