Thu0349 autologous fat grafting in the treatment of patients with systemic sclerosis: current experience and future prospects

none13nomixedSpinella, Amelia; Pignatti, Marco; Citriniti, Giorgia; Lumetti, Federica; Cocchiara, Emanuele; Palermo, Adalgisa; Sighinolfi, Gianluca; Pacchioni, Lucrezia; Zaccaria, Giovanna; Lusetti, Irene Laura; Santis, Giorgio De; Salvarani, Carlo; Giuggioli, DiliaSpinella, Amelia; Pignatti, Marco; Citriniti, Giorgia; Lumetti, Federica; Cocchiara, Emanuele; Palermo, Adalgisa; Sighinolfi, Gianluca; Pacchioni, Lucrezia; Zaccaria, Giovanna; Lusetti, Irene Laura; Santis, Giorgio De; Salvarani, Carlo; Giuggioli, Dili

Il fenomeno delle dipendenze patologiche nella Provincia di Ragusa. Anno 2005. I Rapporto

Report on the state of legal and illegal substances use in the territory of Ragusa ProvinceIl Report analizza il fenomeno delle dipendenze nel territorio della Provincia di Ragusa. La descrizione del fenomeno si sviluppa intorno all\u27analisi degli indicatori individuati dall\u27Osservatorio Europeo delle Dipendenze di Lisbona (OEDT): 1-uso di sostanze nella popolazione generale (questo indicatore va a rilevare i comportamenti nei confronti di alcol e sostanze psicoattive da parte della popolazione generale); 2-prevalenza d\u27uso problematico delle sostanze psicoattive; 3-domanda di trattamento degli utilizzatori di sostanze; 4-mortalit? degli utilizzatori di sostanze; 5-malattie infettive. Altri due importanti indicatori che si stanno sviluppando, e che vengono qui illustrati, sono l\u27analisi delle Schede di Dimissione Ospedaliera (SDO) e gli indicatori relativi alle conseguenza sociali dell\u27uso di droghe (criminalit? droga correlata). Inoltre sono state applicate diverse metodologie standard di stima sia per quantificare la quota parte sconosciuta di utilizzatori di sostanze che non afferiscono ai servizi, sia per identificarne alcune caratteristiche

Mezzi di comunicazione e riservatezza.

La parte Seconda del volume, quella curata dalla prof De Minico, è rivolta allo studio delle Telecomunicazioni e alla sue intersezioni con il diritto all'autodeterminazione dei dati personali. Si colgono compatibilità e asintonie tra taluni mezzi di comunicazione elettronica e le nuove dimensioni della riservatezza, privilegiando un approccio pragmatico e comparato con l'ordinamento anglosassone

I "tre codici" della Società dell'informazione. Amministrazione digitale, comunicazioni elettroniche, contenuti audiovisivi.

La parte seconda del volume, quella curata dalla De Minico, studia la regolazione sulle comunicazioni elettroniche in ragione della sua fonte: comunitaria (Direttive 2002 e loro revisione in atto), nazionale (d.lgs. 259/03) e regionale (leggi, giurisprudenza, atti Co.Re.Com.). In realtà, la prassi della Commissione Europea e delle Autorità Nazionali di Regolazione (in particolare, dell’Autorità per le Garanzie nelle Comunicazioni e dell’Office of Communications) ha messo in discussione la promessa di creare meno regole e regole diverse; quindi, ci si interroga se la deregolazione a favore della lex mercatoria sia stata solo annunciata o anche realizzata

Il sistema delle telecomunicazioni tra diritto comunitario e ordinamento interno

Il progetto si è concluso con la pubblicazione di un volume curato dai tre responsabili del progetto. Per ulteriori informazioni si rinvia alla scheda del volume: I tre codici della società dell'informazione (prodotto 197145)

Safety Assessment of High- and Low-Molecular-Weight Hyaluronans (Profhilo®) as Derived from Worldwide Postmarketing Data

Background. At present, dermal fillers based on hyaluronic acid (HA) represent the most popular intervention of dermoesthetic medicine for the treatment of skin aging. Recent studies have shown that the combination of HA chains of different lengths and molecular weights improves tissue repair and regeneration through a synergistic mechanism. Profhilo® is a product available that has been on the market since 2015 and is based on stable, hybrid, and cooperative complexes (HyCoCos) produced by means of NAHYCO® Hybrid Technology, which is an innovative thermal process that rules out the use of any chemical reagents. The result is a filler with high biocompatibility and low viscosity that favors optimal diffusion at the tissue level to obtain the target bioremodeling of the facial contour. The objective of this review is to provide data from the overall postmarketing experience after 3 years of use and more than 40,000 patients treated with the medical device. Methods. All spontaneous postmarketing adverse event (AE) reports received from physicians and healthcare professionals worldwide between February 9, 2015, and February 8, 2018, associated with the use of the studied medical device and sent to the IBSA global safety database were analyzed. Results. In total, 12 adverse event reports were logged in the global database, and none were considered serious. Early-onset injection site reactions, i.e., swelling, edema, redness, ecchymosis, and erythema, were the most frequently observed. Late-onset local reactions (e.g., swelling, nodules) followed. The genesis of these reactions was considered, both by the reporting physician and IBSA, as being local reactions of hypersensitivity and/or due to inappropriate injection techniques. In no case was the product held liable for direct damage. All events resolved without any complications according to the treatment guidelines. Two late-onset reactions were collected. Conclusions. Although underreporting of minor events cannot be ruled out, the overall number of reports is very low, thereby supporting the high tolerability and safety of the product. After 3 years of postmarketing experience, the safety profile of the studied medical device is favorable and consistent with the product information

Predicting acute kidney injury with an artificial intelligence-driven model in a pediatric cardiac intensive care unit

Abstract Background Acute kidney injury (AKI) is among the most common complications following cardiac surgery in adult and pediatric patients, significantly affecting morbidity and mortality. Artificial Intelligence (AI) with Machine Learning (ML) can be used to predict outcomes. AKI diagnosis anticipation may be an ideal target of these methods. The scope of the study is building a Machine Learning (ML) train model with Random Forest (RF) algorithm, based on electronic health record (EHR) data, able to forecast AKI continuously after 48 h in post-cardiac surgery children, and to test its performance. Four hundred nineteen consecutive patients out of 1115 hospital admissions were enrolled in a single-center retrospective study. Patients were younger than 18 years and admitted from August 2018 to February 2020 in a pediatric cardiac intensive care unit (PCICU) undergoing cardiac surgery, invasive procedure (hemodynamic studies), and medical conditions with complete EHR records and discharged after 48 h or more. Results Thirty-six variables were selected to build the algorithm according to commonly described cardiac surgery-associated AKI clinical predictors. We evaluated different models for different outcomes: binary AKI (no AKI vs. AKI), severe AKI (no-mild vs severe AKI), and multiclass classification (maximum AKI and the most frequent level of AKI, mode AKI). The algorithm performance was assessed with the area under the curve receiver operating characteristics (AUC ROC) for binary classification, with accuracy and K for multiclass classification. AUC ROC for binary AKI was 0.93 (95% CI 0.92–0.94), and for severe AKI was 0.99 (95% CI 0.98–1). Mode AKI accuracy was 0.95, and K was 0.80 (95% CI 0.94–0.96); maximum AKI accuracy was 0.92, and K was 0.71 (95% CI 0.91–0.93). The importance matrix plot demonstrated creatinine, basal creatinine, platelets count, adrenaline support, and lactate dehydrogenase for binary AKI with the addition of cardiopulmonary bypass duration for severe AKI as the most relevant variables of the model. Conclusions We validated a ML model to detect AKI occurring after 48 h in a retrospective observational study that could help clinicians in individuating patients at risk of AKI, in which a preventive strategy can be determinant to improve the occurrence of renal dysfunction