126 results on '"Bolzoni, M"'
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2. Impact of hypochloremia as a prognostic factor in patients with heart failure, a retrospective cohort study
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de Peralta García, P., Bolzoni, M., Yebra Yebra, M., Asenjo Martín, M., Arrondo Turrado, M., Domínguez Sepúlveda, M.A., Rueda Camino, J.A., and Barba Martín, R.
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- 2024
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3. Lack of association between classical HLA genes and asymptomatic SARS-CoV-2 infection
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Marchal, A, Cirulli, E, Neveux, I, Bellos, E, Thwaites, R, Schiabor Barrett, K, Zhang, Y, Nemes-Bokun, I, Kalinova, M, Catchpole, A, Tangye, S, Spaan, A, Lack, J, Ghosn, J, Burdet, C, Gorochov, G, Tubach, F, Hausfater, P, Abel, L, Aiuti, A, Al-Muhsen, S, Al-Mulla, F, Amara, A, Anderson, M, Andreakos, E, Arias, A, Arkin, L, Feldman, H, Bastard, P, Belot, A, Biggs, C, Bogunovic, D, Bolze, A, Bondarenko, A, Borghesi, A, Bousfiha, A, Brodin, P, Bryceson, Y, Butte, M, Casanova, J, Casari, G, Christodoulou, J, Cobat, A, Colobran, R, Condino-Neto, A, Constantinescu, S, Cooper, M, Dalgard, C, Desai, M, Drolet, B, Duval, X, El Baghdadi, J, Eloy, P, Espinosa-Padilla, S, Fellay, J, Flores, C, Franco, J, Froidure, A, Gregersen, P, Grimbacher, B, Haerynck, F, Hagin, D, Halwani, R, Hammarstrom, L, Heath, J, Hsieh, E, Husebye, E, Imai, K, Itan, Y, Jouanguy, E, Kaja, E, Karamitros, T, Kisand, K, Ku, C, Lau, Y, Ling, Y, Lucas, C, Maniatis, T, Mansouri, D, Marodi, L, Mentre, F, Meyts, I, Milner, J, Mironska, K, Mogensen, T, Morio, T, Ng, L, Notarangelo, L, Novelli, A, Novelli, G, O'Farrelly, C, Okada, S, Okamoto, K, Ozcelik, T, Pan-Hammarstrom, Q, Pape, J, Perez de Diego, R, Perez-Tur, J, Perlin, D, Pesole, G, Planas, A, Prando, C, Pujol, A, Puel, A, Quintana-Murci, L, Ramaswamy, S, Renia, L, Resnick, I, Rodriguez-Gallego, C, Sancho-Shimizu, V, Sediva, A, Seppanen, M, Shahrooei, M, Shcherbina, A, Slaby, O, Snow, A, Soler-Palacin, P, Soumelis, V, Tancevski, I, Tayoun, A, Temel, S, Thorball, C, Tiberghien, P, Trouillet-Assant, S, Turvey, S, Uddin, K, Uddin, M, van de Beek, D, Vinh, D, von Bernuth, H, Wauters, J, Zatz, M, Zawadzki, P, Zhang, Q, Zhang, S, Bureau, S, Vacher, Y, Gysembergh-Houal, A, Demerville, L, Benleulmi-Chaachoua, A, Abad, S, Abassi, R, Abdellaoui, A, Abdelmalek, A, Abdoul, H, Abergel, H, Abeud, F, Abgrall, S, Abisror, N, Adechian, M, Aderdour, N, Admane, H, Adnet, F, Afritt, S, Agostini, H, Aguilar, C, Agut, S, Aiello, T, Kaci, M, Oufella, H, Ajeenthiravasan, G, Alauzy, V, Alby-Laurent, F, Allard, L, Alyanakian, M, Borrero, B, Amam, S, Amrouche, L, Andronikof, M, Anglicheau, D, Anguel, N, Annane, D, Aounzou, M, Aparicio, C, Aratus, G, Arlet, J, Arzoine, J, Aslangul, E, Assefi, M, Aubry, A, Audiffred, L, Audureau, E, Auger, C, Auregan, J, Awotar, C, Milla, S, Azan, D, Azemar, L, Azzouguen, B, Elrufaai, M, Badsi, A, Bakouboula, P, Balcerowiak, C, Balde, F, Baldivia, E, Bangamingo, E, Baptiste, A, Baran-Marszak, F, Barau, C, Barget, N, Baronnet, F, Barthelemy, R, Baudel, J, Baudry, C, Baudry, E, Beaugerie, L, Belamri, A, Belaube, N, Belilita, R, Bellassen, P, Belmokhtar, R, Beltran, I, Benainous, R, Benallaoua, M, Benamouzig, R, Benbara, A, Benhida, J, Benkhelouf, A, Benlagha, J, Benmostafa, C, Benothmane, S, Bentifraouine, M, Berard, L, Bernier, Q, Berti, E, Bertier, A, Berton, L, Bessis, S, Beurton, A, Bianco, C, Bianquis, C, Bidar, F, Blanche, P, Blayau, C, Bleibtreu, A, Blin, E, Bloch-Queyrat, C, Boissier, M, Bollens, D, Bolzoni, M, Bompard, R, Bonnet, N, Bonnouvrier, J, Botha, S, Boucenna, W, Bouchama, F, Bouchaud, O, Bouchghoul, H, Boudjebla, T, Boudjema, N, Bouffard, C, Bougle, A, Bouguerra, M, Bouras, L, Bourcier, A, Durand, A, Bourrier, A, Bouscarat, F, Bouvry, D, Bouziri, N, Bouzrara, O, Bribier, S, Brugier, D, Brunel, M, Bui, E, Buisson, A, Bukreyeva, I, Bureau, C, Cadranel, J, Cailhol, J, Calin, R, Vega, C, Canavaggio, P, Cancella, M, Cantin, D, Cao, A, Carbillon, L, Carlier, N, Cassard, C, Castor, G, Cauchy, M, Cha, O, Chaigne, B, Challal, S, Champion, K, Chariot, P, Chas, J, Chauveau, S, Chauvin, A, Chauvin, C, Chavarot, N, Chebbout, K, Cherai, M, Cherubini, I, Chevalier, A, Chiarabini, T, Chinet, T, Chocron, R, Choinier, P, Chommeloux, J, Choquet, C, Choupeaux, L, Chousterman, B, Ciocan, D, Clarke, A, Clavere, G, Clavier, F, Clement, K, Clerc, S, Cohen, Y, Cohen, F, Cohen, A, Coilly, A, Colboc, H, Colin, P, Collet, M, Comarmond, C, Combacon, E, Combes, A, Comparon, C, Constantin, J, Cordel, H, Cordier, A, Costantini, A, Chalumeau, N, Couffignal, C, Coupeau, D, Creange, A, Lamarre, Y, Da Silveira, C, Guibal El Kayani, S, De Castro, N, De Rycke, Y, Del Pozo, L, Delannoy, Q, Delay, M, Deleris, R, Delforge, J, Delphine, L, Demare, N, Demeret, S, Demoule, A, Deniau, A, Depret, F, Derolez, S, Derradji, O, Derridj, N, Descamps, V, Deschamps, L, Desconclois, C, Desnos, C, Desongins, K, Dhote, R, Diallo, B, Didier, M, Diemer, M, Diez, S, Djadi-Prat, J, Djamouri Monnory, F, Djebara, S, Djebra, N, Djietcheu, M, Djillali, H, Djouadi, N, Donneger, S, Santos, C, Dournon, N, Dres, M, Droctove, L, Drogrey, M, Dropy, M, Drouet, E, Dubosq, V, Dubreucq, E, Dubus, E, Duchemann, B, Duchenoy, T, Dudoignon, E, Dufau, R, Dumas, F, Duran, C, Duron, E, Durrbach, A, Duvivier, C, Ebstein, N, El Khalifa, J, Elabbadi, A, Elie, C, Ernotte, G, Esling, A, Etienne, M, Eyer, X, Fartoukh, M, Fayali, T, Fermaut, M, Fiorentino, A, Fliss, S, Fournier, M, Fournier, B, Francois, H, Freynet, O, Frigout, Y, Fromont, I, Fuentes, A, Furet, T, Galand, J, Garnier, M, Gaubert, A, Gaudry, S, Gaugain, S, Gauthier, D, Gautier, M, Georgin-Lavialle, S, Geromin, D, Ghalayini, M, Ghaleh, B, Ghezal, M, Gibelin, A, Gimeno, L, Girard, B, Leprieur, B, Gomes, D, Gomes-Pires, E, Gouge, A, Gouja, A, Goulet, H, Goupil, S, De Bouille, J, Gras, J, Greffe, S, Grimaldi, L, Guedeney, P, Guidet, B, Guillo, M, Gulczynski, M, Hadjam, T, Haguenauer, D, Hammal, S, Hammoudi, N, Hanon, O, Harrois, A, Hautem, C, Hekimian, G, Heming, N, Hermine, O, Ho, S, Houllier, M, Huot, B, Huscenot, T, Saied, W, Ikherbane, G, Imarazene, M, Ingiliz, P, Iratni, L, Jaureguiberry, S, Jean-Marc, J, Jeyarajasingham, D, Jouany, P, Jouis, V, Jourdaine, C, Kafif, O, Kallala, R, Katsahian, S, Kelesyan, L, Keo, V, Ketz, F, Khamis, W, Khelili, E, Khellaf, M, Kotokpo Youkou, C, Kounis, I, Kpalma, G, Krause, J, Labbe, V, Lacombe, K, Lacorte, J, Lafont, A, Lafont, E, Lagha, L, Lamhaut, L, Lancelot, A, Landman, C, Lanternier, F, Larcheveque, C, Combe, C, Lassel, L, Laverdant, B, Lavergne, C, Lavillegrand, J, Lazureanu, P, Le Guennec, L, Leberre, L, Leblanc, C, Leboyer, M, Lecomte, F, Lecorre, M, Leenhardt, R, Lefebvre, M, Lefebvre, B, Legendre, P, Leger, A, Legros, L, Legrosse, J, Lehuunghia, S, Lemarec, J, Leporrier-Ext, J, Lesein, M, Lesur, H, Levy, V, Levy, A, Lopes, E, Lopes, A, Lopez, V, Lopinto, J, Lortholary, O, Louadah, B, Loze, B, Lucas, M, Lucasamichi, A, Luong, L, Magazimama-Ext, A, Maingret, D, Mameri, L, Manivet, P, Mansouri, C, Marcault, E, Marey, J, Marin, N, Marois, C, Martin, O, Martineau, L, Martinez-Lopez, C, Martyniuck, P, De Farcy, P, Marzouk, N, Masmoudi, R, Mebazaa, A, Mechai, F, Mecozzi, F, Mediouni, C, Megarbane, B, Meghadecha, M, Mejean, E, Mekinian, A, Abdelhadi, N, Mekni, R, Meliti, T, Lima, B, Meng, P, Merbah, S, Messani, F, Messaoudi, Y, Mewasing, B, Meziane, L, Michelot-Burger, C, Mignot, F, Minka, F, Miyara, M, Moine, P, Molina, J, Montegnies-Boulet, A, Monti, A, Montlahuc, C, Montout, A, Moores, A, Morbieu, C, Mortelette, H, Mouly, S, Muzaffar, R, Nacerddine, C, Nadal, M, Nadif, H, Nassarmadji, K, Natella, P, Ndingamondze, S, Neraal, S, Nguyen, C, N'Guyen, B, Larmurier, I, Nlomenyengue, L, Noel, N, Nunes, H, Omar, E, Ouazene, Z, Ouedraogo, E, Ouelaa, W, Oukhedouma, A, Amara, Y, Oya, H, Oziel, J, Padilla, T, Paillaud, E, Paiva, S, Parfait, B, Parize, P, Parizot, C, Parrot, A, Pavot, A, Peaudecerf, L, Pene, F, Pepin, M, Pernet, J, Pernin, C, Petit, M, Peyrony, O, Pietri, M, Pietri, O, De Chambrun, M, Pinson, M, Pintado, C, Piquard, V, Pires, C, Planquette, B, Poirier, S, Pomel, A, Pons, S, Ponscarme, D, Pourcelot, A, Pourcher, V, Pouvaret, A, Prever, F, Previlon, M, Prevost, M, Provoost, M, Quemeneur, C, Rafat, C, Rami, A, Ranque, B, Raphael, M, Raphalen, J, Rastoin, A, Raux, M, Rebai, A, Reby, M, Regent, A, Regrag, A, Resche-Rigon, M, Ressaire, Q, Richard, C, Richard, M, Robert, M, Rohaut, B, Rolland-Debord, C, Ropers, J, Roque-Afonso, A, Rosso, C, Rousseaux, M, Rousseaux, N, Roux, S, Roux, L, Rouzaud, C, Rozes, A, Rubenstein, E, Sabate, J, Sabet, S, Sacleux, S, Kermanach, N, Saliba, F, Salmon, D, Savale, L, Savary, G, Sberro, R, Scemla, A, Schlemmer, F, Schwartz, M, Sedfi, S, Sefir-Kribel, S, Seksik, P, Sellier, P, Selves, A, Sembach, N, Semerano, L, Senat, M, Sene, D, Serris, A, Sese, L, Sghiouar, N, Sigaux, J, Siguier, M, Silvain, J, Simon, N, Simon, T, Skandri, L, Slimani, M, Snauwaert, A, Sokol, H, Soliman, H, Soltani, N, Soyer, B, Steg, G, Suarez, L, Szwebel, T, Taffame, K, Tandjaoui-Lambiotte, Y, Tantet, C, Tateo, M, Theodose, I, Thiebaud, P, Thomas, C, Tiercelet, K, Tisserand, J, Tomczak, C, Torelino, K, Touam-Ext, F, Toumi, L, Toury, G, Toy-Miou, M, Dinh Thanh Lien, O, Trandinh, A, Treluyer, J, Trinque, B, Truchot, J, Tubiana, S, Tunesi, S, Turpin, M, Turpin, A, Urbina, T, Narvaez, R, Uzunhan, Y, Vaittinadaayar, P, Valent, A, Valentian, M, Valin, N, Vallet, H, Vaz, M, Vazquezibarra, M, Vedie, B, Velly, L, Verstuyft, C, Viallette, C, Vicaut, E, Vignes, D, Vimpere, D, Virlouvet, M, Voiriot, G, Voisot, L, Weiss, E, Weiss, N, Winchenne, A, Yordanov, Y, Zafrani, L, Zaidan, M, Zaidi, W, Zak, C, Zarhrate-Ghoul, A, Zatout, O, Zeino, S, Zeitouni, M, Zemirli, N, Zerah, L, Zia, O, Ziol, M, Zolario, O, Zuber, J, Andrejak, C, Angoulvant, F, Bachelet, D, Bartoli, M, Basmaci, R, Behillil, S, Beluze, M, Benkerrou, D, Bhavsar, K, Bouadma, L, Bouchez, S, Bouscambert, M, Cervantes-Gonzalez, M, Chair, A, Chirouze, C, Coelho, A, Couffin-Cadiergues, S, D'Ortenzio, E, Debray, M, Deconinck, L, Deplanque, D, Descamps, D, Desvallee, M, Diallo, A, Diouf, A, Dorival, C, Dubos, F, Elharrar, B, Enouf, V, Esperou, H, Esposito-Farese, M, Devouge, E, Gault, N, Gaymard, A, Gigante, T, Gilg, M, Guedj, J, Hoctin, A, Hoffmann, I, Houas, I, Hulot, J, Jaafoura, S, Kaguelidou, F, Kali, S, Khalil, A, Khan, C, Laouenan, C, Laribi, S, Le, M, Le Hingrat, Q, Le Mestre, S, Le Nagard, H, Lescure, F, Letrou, S, Levy, Y, Lina, B, Lingas, G, Lucet, J, Malvy, D, Mambert, M, Meziane, A, Mouquet, H, Mullaert, J, Neant, N, Nguyen, D, Noret, M, Nseir, S, Papadopoulos, A, Paul, C, Peiffer-Smadja, N, Perpoint, T, Petrov-Sanchez, V, Peytavin, G, Pham, H, Picone, O, Puechal, O, Rabaud, C, Rosa-Calatrava, M, Rossignol, B, Rossignol, P, Roy, C, Schneider, M, Su, R, Tardivon, C, Tellier, M, Teoule, F, Terrier, O, Timsit, J, Tual, C, van der Werf, S, Vanel, N, Veislinger, A, Visseaux, B, Wiedemann, A, Yazdanpanah, Y, Alavoine, L, Charpentier, C, Dechanet, A, Ecobichon, J, Frezouls, W, Houhou, N, Lehacaut, J, Manchon, P, Nouroudine, M, Quintin, C, Thy, M, Vignali, V, Chahine, A, Waucquier, N, Migaud, M, Djossou, F, Mergeay-Fabre, M, Lucarelli, A, Demar, M, Bruneau, L, Gerardin, P, Maillot, A, Payet, C, Laviolle, B, Laine, F, Paris, C, Desille-Dugast, M, Fouchard, J, Pistone, T, Perreau, P, Gissot, V, Goas, C, Montagne, S, Richard, L, Bouiller, K, Desmarets, M, Meunier, A, Bourgeon, M, Lefevre, B, Jeulin, H, Legrand, K, Lomazzi, S, Tardy, B, Gagneux-Brunon, A, Bertholon, F, Botelho-Nevers, E, Kouakam, C, Nicolas, L, Roufai, L, Amat, K, Hendou, S, Foti, G, Citerio, G, Contro, E, Pesci, A, Valsecchi, M, Cazzaniga, M, Bellani, G, Abad, J, Accordino, G, Angelini, M, Aguilera-Albesa, S, Aguilo-Cucurull, A, Ozkan, E, Darazam, I, Roblero Albisures, J, Aldave, J, Ramos, M, Khan, T, Aliberti, A, Nadji, S, Alkan, G, Alkhater, S, Allardet-Servent, J, Allende, L, Alonso-Arias, R, Alshahrani, M, Alsina, L, Amoura, Z, Antoli, A, Arrestier, R, Aubart, M, Auguet, T, Avramenko, I, Aytekin, G, Azot, A, Bahram, S, Bajolle, F, Baldanti, F, Baldolli, A, Ballester, M, Barrou, B, Barzaghi, F, Basso, S, Bayhan, G, Bezrodnik, L, Bilbao, A, Blanchard-Rohner, G, Blanco, I, Blandinieres, A, Blazquez-Gamero, D, Bloomfield, M, Bolivar-Prados, M, Borie, R, Botdhlo-Nevers, E, Bousquet, A, Boutolleau, D, Bouvattier, C, Boyarchuk, O, Bravais, J, Briones, M, Brunner, M, Bruno, R, Bueno, M, Bukhari, H, Bustamante, J, Caceres Agra, J, Capra, R, Carapito, R, Carrabba, M, Casasnovas, C, Caseris, M, Cassaniti, I, Castelle, M, Castelli, F, Castillo de Vera, M, Castro, M, Catherinot, E, Celik, J, Ceschi, A, Chalumeau, M, Charbit, B, Boulanger, C, Clave, P, Clotet, B, Codina, A, Comoli, P, Corsico, A, Coskuner, T, Cvetkovski, A, Cyrus, C, Dalmau, D, Danion, F, Darley, D, Das, V, Dauby, N, Dauger, S, De Munte, P, de Pontual, L, Dehban, A, Delplancq, G, Desguerre, I, Di Sabatino, A, Diehl, J, Dobbelaere, S, Dominguez-Garrido, E, Dubost, C, Ekwall, O, Bozdemir, S, Elnagdy, M, Emiroglu, M, Endo, A, Erdeniz, E, Aytekin, S, Etxart Lasa, M, Euvrard, R, Fabio, G, Faivre, L, Falck, A, Faure, M, Arquero, M, Ferrer, R, Ferreres, J, Francois, B, Fumado, V, Fung, K, Fusco, F, Gagro, A, Solis, B, Garcon, P, Gaussem, P, Gayretli, Z, Gil-Herrera, J, Gilardin, L, Gatineau, A, Girona-Alarcon, M, Cifuentes Godinez, K, Goffard, J, Gonzales, N, Gonzalez-Granado, L, Gonzalez-Montelongo, R, Guerder, A, Gulhan, B, Gumucio, V, Hanitsch, L, Gunst, J, Gut, M, Hadjadj, J, Hancerli, S, Hariyan, T, Hatipoglu, N, Heppekcan, D, Hernandez-Brito, E, Ho, P, Holanda-Pena, M, Horcajada, J, Hraiech, S, Humbert, L, Hung, I, Iglesias, A, Inigo-Campos, A, Jamme, M, Arranz, M, Jimeno, M, Jordan, I, Kanik-Yuksek, S, Kara, Y, Karahan, A, Karbuz, A, Yasar, K, Kasapcopur, O, Kashimada, K, Keles, S, Demirkol, Y, Kido, Y, Kizil, C, Kilic, A, Klocperk, A, Koutsoukou, A, Krol, Z, Ksouri, H, Kuentz, P, Kwan, A, Kwan, Y, Kwok, J, Lagier, J, Lam, D, Lampropoulou, V, Le Bourgeois, F, Leo, Y, Lopez, R, Leung, D, Levin, M, Levy, M, Levy, R, Li, Z, Lilleri, D, Adrian Bolanos Lima, E, Linglart, A, Lopez-Collazo, E, Lorenzo-Salazar, J, Louapre, C, Lubetzki, C, Lung, K, Luyt, C, Lye, D, Magnone, C, Marchioni, E, Marioli, C, Marjani, M, Marques, L, Pereira, J, Martin-Nalda, A, Pueyo, D, Martinez-Picado, J, Marzana, I, Mata-Martinez, C, Mathian, A, Matos, L, Matthews, G, Mayaux, J, McLaughlin-Garcia, R, Meersseman, P, Mege, J, Mekontso-Dessap, A, Melki, I, Meloni, F, Meritet, J, Merlani, P, Akcan, O, Mezidi, M, Migeotte, I, Millereux, 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- Abstract
Human genetic studies of critical COVID-19 pneumonia have revealed the essential role of type I interferon-dependent innate immunity to SARS-CoV-2 infection. Conversely, an association between the HLA-B∗15:01 allele and asymptomatic SARS-CoV-2 infection in unvaccinated individuals was recently reported, suggesting a contribution of pre-existing T cell-dependent adaptive immunity. We report a lack of association of classical HLA alleles, including HLA-B∗15:01, with pre-omicron asymptomatic SARS-CoV-2 infection in unvaccinated participants in a prospective population-based study in the United States (191 asymptomatic vs. 945 symptomatic COVID-19 cases). Moreover, we found no such association in the international COVID Human Genetic Effort cohort (206 asymptomatic vs. 574 mild or moderate COVID-19 cases and 1,625 severe or critical COVID-19 cases). Finally, in the Human Challenge Characterisation study, the three HLA-B∗15:01 individuals infected with SARS-CoV-2 developed symptoms. As with other acute primary infections studied, no classical HLA alleles favoring an asymptomatic course of SARS-CoV-2 infection were identified.
- Published
- 2024
4. Retinal vein occlusion. Audit of a specialized care program
- Author
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Rueda-Camino, J.A., Gimena-Rodríguez, F.J., Domínguez-Sepúlveda, M.A., Bolzoni, M., Pastor-Vivas, A.I., Angelina-García, M., Joya-Seijo, M.D., Trujillo-Luque, D., Losada-Bayo, D., and Barba-Martín, R.
- Published
- 2023
- Full Text
- View/download PDF
5. Trombosis venosa de retina. Auditoría de un programa de atención especializada
- Author
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Rueda-Camino, J.A., Gimena-Rodríguez, F.J., Domínguez-Sepúlveda, M.A., Bolzoni, M., Pastor-Vivas, A.I., Angelina-García, M., Joya-Seijo, M.D., Trujillo-Luque, D., Losada-Bayo, D., and Barba-Martín, R.
- Published
- 2023
- Full Text
- View/download PDF
6. Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19
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E., De Castro N., De Rycke Y., Del Pozo L., Delannoy Q., Delay M., Deleris R., Delforge J., Delphine L., Demare N., Demeret S., Demoule A., Deniau A., Depret F., Derolez S., Derradji O., Derridj N., Descamps V., Deschamps L., Desconclois C., Desnos C., Desongins K., Dhote R., Diallo B., Didier M., Diemer M., Diez S., Djadi-Prat J., Monnory F. -Z. D., Djebara S., Djebra N., Djietcheu M., Djillali H., Djouadi N., Donneger S., Dos Santos C., Dournon N., Dres M., Droctove L., Drogrey M., Dropy M., Drouet E., Dubosq V., Dubreucq E., Dubus E., Duchemann B., Duchenoy T., Dudoignon E., Dufau R., Dumas F., Duran C., Duron E., Durrbach A., Duvivier C., Ebstein N., Khalifa J. E., Elabbadi A., Elie C., Ernotte G., Esling A., Etienne M., Eyer X., Fartoukh M., Fayali T., Fermaut M., Fiorentino A., Fliss S., Fournier M. -C., Fournier B., Francois H., Freynet O., Frigout Y., Fromont I., Fuentes A., Furet T., Galand J., Garnier M., Gaubert A., Gaudry S., Gaugain S., Gauthier D., Gautier M., Georgin-Lavialle S., Geromin D., Ghalayini M., Ghaleh B., Ghezal M., Gibelin A., Gimeno L., Girard B., Leprieur B. G., Gomes D., Gomes-Pires E., Gouge A., Gouja A., Goulet H., Goupil S., De Bouille J. G., Gras J., Greffe S., Grimaldi L., Guedeney P., Guidet B., Guillo M., Gulczynski M., Hadjam T., Haguenauer D., Hammal S., Hammoudi N., Hanon O., Harrois A., Hautem C., Hekimian G., Heming N., Hermine O., Ho S., Houllier M., Huot B., Huscenot T., Saied W. I., Ikherbane G., Imarazene M., Ingiliz P., Iratni L., Jaureguiberry S., Jean-Marc J. -F., Jeyarajasingham D., Jouany P., Jouis V., Jourdaine C., Kafif O., Kallala R., Katsahian S., Kelesyan L., Keo V., Ketz F., Khamis W., Khelili E., Khellaf M., Youkou C. G. K., Kounis I., Kpalma G., Krause J., Labbe V., Lacombe K., Lacorte J. -M., Lafont A. G., Lafont E., Lagha L., Lamhaut L., Lancelot A., Landman C., Lanternier F., Larcheveque C., Combe C. L., Lassel L., Laverdant B., Lavergne C., Lavillegrand J. -R., Lazureanu P., Le Guennec L., Leberre L., Leblanc C., Leboyer M., Lecomte F., Lecorre M., Leenhardt R., Lefebvre M., Lefebvre B., Legendre P., Leger A., Legros L., Legrosse J., Lehuunghia S., Lemarec J., Leporrier-Ext J., Lesein M., Lesur H., Levy V., Levy A., Lopes E., Lopes A., Lopez V., Lopinto J., Lortholary O., Louadah B., Loze B., Lucas M. -L., Lucasamichi A., Luong L. B., Magazimama-Ext A., Maingret D., Mameri L., Manivet P., Mansouri C., Marcault E., Marey J., Marin N., Marois C., Martin O., Martineau L., Martinez-Lopez C., Martyniuck P., De Farcy P. M., Marzouk N., Masmoudi R., Mebazaa A., Mechai F., Mecozzi F., Mediouni C., Megarbane B., Meghadecha M., Mejean E., Mekinian A., Abdelhadi N. M., Mekni R., Meliti T. S., Lima B. M., Meng P., Merbah S., Messani F., Messaoudi Y., Mewasing B. -I., Meziane L., Michelot-Burger C., Mignot F., Minka F. H., Miyara M., Moine P., Molina J. -M., Montegnies-Boulet A., Monti A., Montlahuc C., Montout A. -L., Moores A., Morbieu C., Mortelette H., Mouly S., Muzaffar R., Nacerddine C. I., Nadal M., Nadif H., Nassarmadji K., Natella P., Ndingamondze S., Neraal S., Nguyen C., N'Guyen B., Larmurier I. N., Nlomenyengue L., Noel N., Nunes H., Omar E., Ouazene Z., Ouedraogo E., Ouelaa W., Oukhedouma A., Amara Y. O., Oya H., Oziel J., Padilla T., Paillaud E., Paiva S., Parfait B., Parize P., Parizot C., Parrot A., Pavot A., Peaudecerf L., Pene F., Pepin M., Pernet J., Pernin C., Petit M., Peyrony O., Pietri M. -P., Pietri O., De Chambrun M. P., Pinson M., Pintado C., Pires C., Planquette B., Poirier S., Pomel A. -L., Pons S., Ponscarme D., Pourcelot A., Pourcher V., Pouvaret A., Prever F., Previlon M., Prevost M., Provoost M. -J., Quemeneur C., Rafat C., Rami A., Ranque B., Raphael M., Raphalen J. H., Rastoin A., Raux M., Rebai A., Reby M., Regent A., Regrag A., Resche-Rigon M., Ressaire Q., Richard C., Richard M., Robert M., Rohaut B., Rolland-Debord C., Ropers J., Roque-Afonso A. -M., Rosso C., Rousseaux M., Rousseaux N., Roux S., Roux L., Rouzaud C., Rozes A., Rubenstein E., Sabate J. -M., Sabet S., Sacleux S. -C., Kermanach N. S., Saliba F., Salmon D., Savale L., Savary G., Sberro R., Scemla A., Schlemmer F., Schwartz M., Sedfi S., Sefir-Kribel S., Seksik P., Sellier P., Selves A., Sembach N., Semerano L., Senat M. -V., Sene D., Serris A., Sese L., Sghiouar N., Sigaux J., Siguier M., Silvain J., Simon N., Simon T., Skandri L. I., Slimani M., Snauwaert A., Sokol H., Soliman H., Soltani N., Soyer B., Steg G., Suarez L., Szwebel T. -A., Taffame K., Tantet C., Tateo M., Theodose I., Thiebaud P., Thomas C., Tiercelet K., Tisserand J., Tomczak C., Torelino K., Touam-Ext F., Toumi L., Toury G., Toy-Miou M., Lien O. T. D. T., Trandinh A., Treluyer J. -M., Trinque B., Truchot J., Tunesi S., Turpin M., Turpin A., Urbina T., Narvaez R. U., Uzunhan Y., Vaittinadaayar P., Valent A., Valentian M., Valin N., Vallet H., Vaz M., Vazquezibarra M. -A., Vedie B., Velly L., Verstuyft C., Viallette C., Vicaut E., Vignes D., Vimpere D., Virlouvet M., Voiriot G., Voisot L., Weiss E., Weiss N., Winchenne A., Yordanov Y., Zafrani L., Zaidan M., Zaidi W., Zak C., Zarhrate-Ghoul A., Zatout O., Zeino S., Zeitouni M., Zemirli N., Zerah L., Zia O., Ziol M., Zolario O., Zuber J., Andrejak C., Angoulvant F., Bachelet D., Bartoli M., Basmaci R., Behilill S., Beluze M., Benkerrou D., Bhavsar K., Bouadma L., Bouchez S., Bouscambert M., Cervantes-Gonzalez M., Chair A., Coelho A., d'Ortenzio E., Debray M. -P., Deconinck L., Deplanque D., Descamps D., Desvallee M., Diallo A., Diouf A., Dorival C., Dubos F., Duval X., Elharrar B., Eloy P., Enouf V., Esperou H., Esposito-Farese M., Devouge E. F., Gault N., Gaymard A., Ghosn J., Gigante T., Gilg M., Guedj J., Hoctin A., Hoffmann I., Houas I., Hulot J. -S., Jaafoura S., Kaguelidou F., Kali S., Khalil A., Khan C., Laouenan C., Laribi S., Le M., Le Hingrat Q., Le Mestre S., Le Nagard H., Lescure F. -X., Levy Y., Lingas G., Lucet J. 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M., Smith N., Solanich X., Sole-Violan J., Soler C., Stella G. M., Stepanovskiy Y., Stoclin A., Taccone F., Taupin J. -L., Tavernier S. J., Tello L. V., Terrier B., Thiery G., Thorball C., Thorn K., Thumerelle C., Tolstrup M., Tomasoni G., Toubiana J., Alvarez J. T., Triantafyllia V., Trouillet-Assant S., Tsang O. T. Y., Tserel L., Tso E. Y. K., Tucci A., Oz S. K. T., Ursini M. V., Utsumi T., Vabres P., Valencia-Ramos J., Van Den Rym A. M., Vandernoot I., Velez-Santamaria V., Veliz S. P. Z., Vidigal M. C., Viel S., Villain C., Vilaire-Meunier M. E., Villar-Garcia J., Vincent A., Volokha A., Vuotto F., Wauters E., Wauters J., Wu A. K. L., Wu T. -C., Yahsi A., Yesilbas O., Yildiz M., Young B. E., Yukselmis U., Zecca M., Zuccaro V., Van Praet J., Lambrecht B. N., Van Braeckel E., Bosteels C., Hoste L., Hoste E., Bauters F., De Clercq J., Heijmans C., Slabbynck H., Naesens L., Florkin B., Boulanger C., Vanderlinden D., Berkell M., Carelli V., Malhotra S., Mattiaccio A., Pippucci T., Seri M., Tacconelli E., van Agtmael M., Algera A. G., Appelman B., van Baarle F., Bax D., Beudel M., Bogaard H. J., Bomers M., Bonta P., Bos L., Botta M., de Brabander J., de Bree G., de Bruin S., Buis D. T. P., Bugiani M., Bulle E., Cloherty O. C. A., Dijkstra M., Dongelmans D. A., Dujardin R. W. G., Elbers P., Fleuren L., Geijtenbeek S. G. T., Girbes A., Goorhuis B., Grobusch M. P., Hafkamp F., Hagens L., Hamann J., Harris V., Hemke R., Heunks S. M. H. L., Hollmann M., Horn J., Hovius J. W., de Jong M. D., Koning R., Lim E. H. T., van Mourik N., Nellen J., Nossent E. J., Paulus F., Peters E., Pina-Fuentes D. A. I., van der Poll T., Preckel B., Prins J. M., Raasveld J., Reijnders T., de Rotte M. C. F. J., Schinkel M., Schultz M. J., Schrauwen F. A. P., Schuurmans A., Schuurmans J., Sigaloff K., Slim M. A., Smeele P., Smit M., Stijnis C. S., Stilma W., Teunissen C., Thoral P., Tsonas A. M., Tuinman P. R., van der Valk M., Veelo D., Volleman C., de Vries H., Vught L. A., van Vugt M., Wouters D., Zwinderman A. H., Brouwer M. C., Wiersinga W. J., Vlaar A. P. J., Tompkins M. F., Alba C., Hupalo D. N., Rosenberger J., Sukumar G., Wilkerson M. D., Zhang X., Lack J., Oler A. J., Dobbs K., Danielson J. J., Biondi A., Bettini L. R., D'Angio' M., Beretta I., Imberti L., Sottini A., Quaresima V., Quiros-Roldan E., Rossi C., Meyts I., Zhang S. -Y., Puel A., Notarangelo L. D., Boisson-Dupuis S., Su H. C., Boisson B., Jouanguy E., Zhang Q., Abel L., and Cobat A.
- Abstract
Background: We previously reported that impaired type I IFN activity, due to inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity or to autoantibodies against type I IFN, account for 15–20% of cases of life-threatening COVID-19 in unvaccinated patients. Therefore, the determinants of life-threatening COVID-19 remain to be identified in ~ 80% of cases. Methods: We report here a genome-wide rare variant burden association analysis in 3269 unvaccinated patients with life-threatening COVID-19, and 1373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. Among the 928 patients tested for autoantibodies against type I IFN, a quarter (234) were positive and were excluded. Results: No gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI 1.5–528.7, P = 1.1 × 10−4) for biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR = 3.70[95%CI 1.3–8.2], P = 2.1 × 10−4). This enrichment was further strengthened by (1) adding the recently reported TYK2 and TLR7 COVID-19 loci, particularly under a recessive model (OR = 19.65[95%CI 2.1–2635.4], P = 3.4 × 10−3), and (2) considering as pLOF branchpoint variants with potentially strong impacts on splicing among the 15 loci (OR = 4.40[9%CI 2.3–8.4], P = 7.7 × 10−8). Finally, the patients with pLOF/bLOF variants at these 15 loci were significantly younger (mean age [SD] = 43.3 [20.3] years) than the other patients (56.0 [17.3] years; P = 1.68 × 10−5). Conclusions: Rare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old.
- Published
- 2023
7. Le novità legislative in materia di diritto di asilo in Italia nel 2023
- Author
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Bolzoni, M, Bonetti, P, Ciurlo, A, Düsch-Wehr, K, Efficace, S, Facchini, D, Godio, G, Ciriano, E, J, G, Hasnain, S, Iannaccone, A, Kibeida, Y, Marchetti, C, Micallef, R, M, Milani, J, Molfetta, M, Pagnotta,I, Rossi, M, Schiavone, G, Sozzi, M, Stege, U, Bolzoni, M, Bonetti, P, Ciurlo, A, Düsch-Wehr, K, Efficace, S, Facchini, D, Godio, G, Ciriano, E, J, G, Hasnain, S, Iannaccone, A, Kibeida, Y, Marchetti, C, Micallef, R, M, Milani, J, Molfetta, M, Pagnotta,I, Rossi, M, Schiavone, G, Sozzi, M, and Stege, U
- Published
- 2023
8. Galectin-1 suppression delineates a new strategy to inhibit myeloma-induced angiogenesis and tumoral growth in vivo
- Author
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Storti, P, Marchica, V, Airoldi, I, Donofrio, G, Fiorini, E, Ferri, V, Guasco, D, Todoerti, K, Silbermann, R, Anderson, J L, Zhao, W, Agnelli, L, Bolzoni, M, Martella, E, Mancini, C, Campanini, N, Noonan, D M, Petronini, P G, Neri, A, Aversa, F, Roodman, G D, and Giuliani, N
- Published
- 2016
- Full Text
- View/download PDF
9. Osteolytic lesions, cytogenetic features and bone marrow levels of cytokines and chemokines in multiple myeloma patients: Role of chemokine (C-C motif) ligand 20
- Author
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Palma, B Dalla, Guasco, D, Pedrazzoni, M, Bolzoni, M, Accardi, F, Costa, F, Sammarelli, G, Craviotto, L, De Filippo, M, Ruffini, L, Omedè, P, Ria, R, Aversa, F, and Giuliani, N
- Published
- 2016
- Full Text
- View/download PDF
10. Usability an effective methodology for designing services in the agricultural sector
- Author
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Marom, R., Bolzoni, M., Goldberg, M., Rotondi, D., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Clarke, Anne, editor, Campolargo, Mario, editor, and Karatzas, Nikos, editor
- Published
- 1995
- Full Text
- View/download PDF
11. Hypoxia-inducible factor (HIF)-1α suppression in myeloma cells blocks tumoral growth in vivo inhibiting angiogenesis and bone destruction
- Author
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Storti, P, Bolzoni, M, Donofrio, G, Airoldi, I, Guasco, D, Toscani, D, Martella, E, Lazzaretti, M, Mancini, C, Agnelli, L, Patrene, K, Maïga, S, Franceschi, V, Colla, S, Anderson, J, Neri, A, Amiot, M, Aversa, F, David Roodman, G, and Giuliani, N
- Published
- 2013
- Full Text
- View/download PDF
12. Myeloma cells inhibit non-canonical wnt co-receptor ror2 expression in human bone marrow osteoprogenitor cells: effect of wnt5a/ror2 pathway activation on the osteogenic differentiation impairment induced by myeloma cells
- Author
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Bolzoni, M, Donofrio, G, Storti, P, Guasco, D, Toscani, D, Lazzaretti, M, Bonomini, S, Agnelli, L, Capocefalo, A, Dalla Palma, B, Neri, A, Nicolini, F, Lisignoli, G, Russo, F, Colla, S, Aversa, F, and Giuliani, N
- Published
- 2013
- Full Text
- View/download PDF
13. Variational inference and semi-parametric methods for time-series probabilistic forecasting
- Author
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Bolzoni, M, MECATTI, FULVIA, PELAGATTI, MATTEO MARIA, BOLZONI, MATTIA, Bolzoni, M, MECATTI, FULVIA, PELAGATTI, MATTEO MARIA, and BOLZONI, MATTIA
- Abstract
Prevedere la probabilità di eventi futuri è un problema comune. L'approccio più utilizzato assume una struttura fissa per questa probabilità, detta modello, dipendente da variabili latenti dette parametri. Dopo aver osservato dei dati è possibile inferire una distribuzione per queste variabili non osservabili. Il procedimento di inferenza non è sempre immediato, siccome selezionare un singolo valore per i parametri potrebbe portare a scarsi risultati, mentre approssimare una distribuzione usando MCMC potrebbe essere complicato. L'inferenza variazionale (VI) sta ricevendo una crescente attenzione come alternativa per approssimare la distribuzione a posteriori tramite un problema di ottimo. Tuttavia, VI spesso impone una struttura parametrica alla distribuzione proposta. Il primo contributo della tesi, detto Hierarchical Variational Inference (HVI), è una metodologia che utilizza reti neurali per creare un'approssimazione semi-parametrica della distribuzione a posteriori. HVI richiede gli stessi requisiti minimi di un Metropolis-Hastings o di un Hamiltonian MCMC, per essere applicata. Il secondo contributo è un pacchetto Python per l'inferenza variazionale su serie storiche usando modelli media-covarianza. Questo utilizza HVI e tecniche di VI standard combinate con reti neurali. I risultati sperimentali, su dati econometrici e finanziari, mostrano un consistente miglioramento della previsione usando VI, rispetto a stime puntuali dei parametri, in particolare producendo stimatori con minor variabilità., Probabilistic forecasting is a common task. The usual approach assumes a fixed structure for the outcome distribution, often called model, that depends on unseen quantities called parameters. It uses data to infer a reasonable distribution over these latent values. The inference step is not always straightforward, because single-value can lead to poor performances and overfitting while handling a proper distribution with MCMC can be challenging. Variational Inference (VI) is emerging as a viable optimisation based alternative that models the target posterior with instrumental variables called variational parameters. However, VI usually imposes a parametric structure on the proposed posterior. The thesis's first contribution is Hierarchical Variational Inference (HVI) a methodology that uses Neural Networks to create semi-parametric posterior approximations with the same minimum requirements as Metropolis-Hastings or Hamiltonian MCMC. The second contribution is a Python package to conduct VI on time-series models for mean-covariance estimate, using HVI and standard VI techniques combined with Neural Networks. Results on econometric and financial data show a consistent improvement using VI, compared to point estimate, obtaining lower variance forecasting.
- Published
- 2021
14. Increased osteocyte death in multiple myeloma patients: role in myeloma-induced osteoclast formation
- Author
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Giuliani, N, Ferretti, M, Bolzoni, M, Storti, P, Lazzaretti, M, Dalla Palma, B, Bonomini, S, Martella, E, Agnelli, L, Neri, A, Ceccarelli, F, and Palumbo, C
- Published
- 2012
- Full Text
- View/download PDF
15. HOXB7 expression by myeloma cells regulates their pro-angiogenic properties in multiple myeloma patients
- Author
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Storti, P, Donofrio, G, Colla, S, Airoldi, I, Bolzoni, M, Agnelli, L, Abeltino, M, Todoerti, K, Lazzaretti, M, Mancini, C, Ribatti, D, Bonomini, S, Franceschi, V, Pistoia, V, Lisignoli, G, Pedrazzini, A, Cavicchi, O, Neri, A, Rizzoli, V, and Giuliani, N
- Published
- 2011
- Full Text
- View/download PDF
16. Low bone marrow oxygen tension and hypoxia-inducible factor-1α overexpression characterize patients with multiple myeloma: role on the transcriptional and proangiogenic profiles of CD138+ cells
- Author
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Colla, S, Storti, P, Donofrio, G, Todoerti, K, Bolzoni, M, Lazzaretti, M, Abeltino, M, Ippolito, L, Neri, A, Ribatti, D, Rizzoli, V, Martella, E, and Giuliani, N
- Published
- 2010
- Full Text
- View/download PDF
17. Bone marrow monocyte-/macrophage-derived activin A mediates the osteoclastogenic effect of IL-3 in multiple myeloma
- Author
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Silbermann, R, Bolzoni, M, Storti, P, Guasco, D, Bonomini, S, Zhou, D, Wu, J, Anderson, J L, Windle, J J, Aversa, F, Roodman, David G, and Giuliani, N
- Published
- 2014
- Full Text
- View/download PDF
18. Will Cities Change with COVID-19?
- Author
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Yahagi, H., Abe, D., Hattori, K., Giancarlo COTELLA, and Bolzoni, M.
- Subjects
Governance ,Pandemic ,World ,COVID-19 ,Cities ,Urbanisation ,Density ,Emergency ,Health ,Planning ,Development ,Japan, USA ,Europe ,Change ,Japan ,USA - Published
- 2020
19. Bone osteoblastic and mesenchymal stromal cells lack primarily tumoral features in multiple myeloma patients
- Author
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Giuliani, N, Lisignoli, G, Novara, F, Storti, P, Zaffaroni, N, Villa, R, Sammarelli, G, Agnelli, L, Todoerti, K, Bernardo, M E, Manferdini, C, Colla, S, Abeltino, M, Bolzoni, M, Rocci, A, Gabusi, E, Palumbo, A, Zuffardi, O, Neri, A, and Rizzoli, V
- Published
- 2010
- Full Text
- View/download PDF
20. Low bone marrow oxygen tension and hypoxia-inducible factor-1α overexpression characterize patients with multiple myeloma: role on the transcriptional and proangiogenic profiles of CD138 + cells
- Author
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Colla, S, Storti, P, Donofrio, G, Todoerti, K, Bolzoni, M, Lazzaretti, M, Abeltino, M, Ippolito, L, Neri, A, Ribatti, D, Rizzoli, V, Martella, E, and Giuliani, N
- Published
- 2010
- Full Text
- View/download PDF
21. Usability an effective methodology for designing services in the agricultural sector
- Author
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Marom, R., primary, Bolzoni, M., additional, Goldberg, M., additional, and Rotondi, D., additional
- Published
- 1995
- Full Text
- View/download PDF
22. Microvesicles released from multiple myeloma cells are equipped with ectoenzymes belonging to canonical and non-canonical adenosinergic pathways and produce adenosine from ATP and NAD+
- Author
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Morandi, F., primary, Marimpietri, D., additional, Horenstein, A. L., additional, Bolzoni, M., additional, Toscani, D., additional, Costa, F., additional, Castella, B., additional, Faini, A. C., additional, Massaia, M., additional, Pistoia, V., additional, Giuliani, N., additional, and Malavasi, F., additional
- Published
- 2018
- Full Text
- View/download PDF
23. The anti-tumoral effect of lenalidomide is increased in vivo by hypoxia-inducible factor (HIF)-1 inhibition in myeloma cells
- Author
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Storti, P., primary, Toscani, D., additional, Airoldi, I., additional, Marchica, V., additional, Maiga, S., additional, Bolzoni, M., additional, Fiorini, E., additional, Campanini, N., additional, Martella, E., additional, Mancini, C., additional, Guasco, D., additional, Ferri, V., additional, Donofrio, G., additional, Aversa, F., additional, Amiot, M., additional, and Giuliani, N., additional
- Published
- 2015
- Full Text
- View/download PDF
24. Decreased osteocyte viability in multiple myeloma patients: osteolytic bone lesions, apoptosis and their potential role in bone remodeling alterations
- Author
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Palumbo, Carla, Ferretti, Marzia, Benincasa, Marta, Lazzaretti, Mirca, Abeltino, M., Bolzoni, M., Mancini, C., Martella, E., Storti, P., and Giuliani, N.
- Subjects
Multiple myeloma - Osteocyte apoptosis - Bone lesions - Bone remodeling alterations - Abstract
Italian Journal of Anatomy and Embryology, Vol 115, No 1/2 (Supplement) 2010
- Published
- 2010
- Full Text
- View/download PDF
25. Osteolytic lesions, cytogenetic features and bone marrow levels of cytokines and chemokines in multiple myeloma patients: Role of chemokine (C-C motif) ligand 20
- Author
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Palma, B Dalla, primary, Guasco, D, additional, Pedrazzoni, M, additional, Bolzoni, M, additional, Accardi, F, additional, Costa, F, additional, Sammarelli, G, additional, Craviotto, L, additional, De Filippo, M, additional, Ruffini, L, additional, Omedè, P, additional, Ria, R, additional, Aversa, F, additional, and Giuliani, N, additional
- Published
- 2015
- Full Text
- View/download PDF
26. Relationship Between Presence of Osteolytic Lesions, Cytogenetic Features and Bone Marrow Levels of Cytokines and Chemokines in Multiple Myeloma Patients: Role of Chemokine (C-C motif) Ligand 20 as new marker of bone disease
- Author
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Dalla Palma, B., primary, Guasco, D., additional, Accardi, F., additional, Pedrazzoni, M., additional, Bolzoni, M., additional, Costa, F., additional, Sammarelli, G., additional, Craviotto, L., additional, Bonomini, S., additional, Todaro, G., additional, De Filippo, M., additional, Ruffini, L., additional, Aversa, F., additional, and Giuliani, N., additional
- Published
- 2015
- Full Text
- View/download PDF
27. Lenalidomide Increases Human Dendritic Cell Maturation Modulating Both Monocyte Differentiation and Mesenchymal Stromal Cell Inhibitory Properties by Ikaros Dependent and Independent Mechanisms
- Author
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Costa, F., primary, Bolzoni, M., additional, Vescovini, R., additional, Toscani, D., additional, Storti, P., additional, Accardi, F., additional, Marchica, V., additional, Guasco, D., additional, Palma, B.Dalla, additional, Aversa, F., additional, and Giuliani, N., additional
- Published
- 2015
- Full Text
- View/download PDF
28. A study on cutoff at 1.55 um for LR-SPP modes in strip waveguides
- Author
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Bolzoni, M. P., Gentili, GIAN GUIDO, and Pietralunga, SILVIA MARIA
- Published
- 2009
29. Bone marrow monocyte-/macrophage-derived activin A mediates the osteoclastogenic effect of IL-3 in multiple myeloma
- Author
-
Silbermann, R, primary, Bolzoni, M, additional, Storti, P, additional, Guasco, D, additional, Bonomini, S, additional, Zhou, D, additional, Wu, J, additional, Anderson, J L, additional, Windle, J J, additional, Aversa, F, additional, David Roodman, G, additional, and Giuliani, N, additional
- Published
- 2013
- Full Text
- View/download PDF
30. Virtual reality environments for psycho-neuro-physiological assessment and rehabilitation
- Author
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Riva, G., Bolzoni, M., Carella, F., Galimberti, C., Griffin, M. J., Lewis, C. H., Luongo, R., Mardegan, P., Melis, L., Lorenzo Molinari Tosatti, Poerschmann, C., Rovetta, A., Rushton, S., Selis, C., and Wann, J.
- Subjects
Feeding and Eating Disorders ,Cerebrovascular Disorders ,User-Computer Interface ,Movement Disorders ,Therapy, Computer-Assisted ,Humans ,Diagnosis, Computer-Assisted - Abstract
Virtual Reality Environments for Psychoneurophysiological Assessment and Rehabilitation-is an European Community funded project (Telematics for health-HC 1053 http:/(/)www.etho.be/ht_projects/vrepar/) whose aim is: to develop a PC based virtual reality system (PC-VRS) for the medical market that can be marketed at a price which is accessible to its possible end-users (hospitals, universities and research centres) and which would have the modular, connectability and interoperability characteristics that the existing systems lack; to develop three hardware/software modules for the application of the PC VRS in psychoneurophysiological assessment and rehabilitation. The chosen development areas are eating disorders (bulimia, anorexia and obesity), movement disorders (Parkinson's disease and torsion dystonia) and stroke disorders (unilateral neglect and hemiparesis). This paper presents the rationale of the different approaches and the methodology used.
- Published
- 1996
31. Myeloma cells inhibit non-canonical wnt co-receptor ror2 expression in human bone marrow osteoprogenitor cells: effect of wnt5a/ror2 pathway activation on the osteogenic differentiation impairment induced by myeloma cells
- Author
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Bolzoni, M, primary, Donofrio, G, additional, Storti, P, additional, Guasco, D, additional, Toscani, D, additional, Lazzaretti, M, additional, Bonomini, S, additional, Agnelli, L, additional, Capocefalo, A, additional, Dalla Palma, B, additional, Neri, A, additional, Nicolini, F, additional, Lisignoli, G, additional, Russo, F, additional, Colla, S, additional, Aversa, F, additional, and Giuliani, N, additional
- Published
- 2012
- Full Text
- View/download PDF
32. LR-SPP Mode Cutoff in Strip Waveguides as Affected by Technologically Induced Asymmetries: A Numerical Study
- Author
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Bolzoni, M. P., primary, Gentili, G. G., additional, and Pietralunga, Silvia M., additional
- Published
- 2011
- Full Text
- View/download PDF
33. HOXB7 expression by myeloma cells regulates their pro-angiogenic properties in multiple myeloma patients
- Author
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Storti, P, primary, Donofrio, G, additional, Colla, S, additional, Airoldi, I, additional, Bolzoni, M, additional, Agnelli, L, additional, Abeltino, M, additional, Todoerti, K, additional, Lazzaretti, M, additional, Mancini, C, additional, Ribatti, D, additional, Bonomini, S, additional, Franceschi, V, additional, Pistoia, V, additional, Lisignoli, G, additional, Pedrazzini, A, additional, Cavicchi, O, additional, Neri, A, additional, Rizzoli, V, additional, and Giuliani, N, additional
- Published
- 2010
- Full Text
- View/download PDF
34. Variabili intervenienti nella soluzione di problemi aritmetici in soggetti normali e ritardati mentali
- Author
-
Fabio, Rosa Angela and Bolzoni, M.
- Subjects
problemi aritmetici-variabili intervenienti - Published
- 1990
35. A package for the implementation of static workload models.
- Author
-
Bolzoni, M. L., Calzarossa, M. C., Mapelli, P., and Serazzi, G.
- Published
- 1982
- Full Text
- View/download PDF
36. Trombosis venosa de retina. Auditoría de un programa de atención especializada
- Author
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Rueda-Camino, J.A., Gimena-Rodríguez, F.J., Domínguez-Sepúlveda, M.A., Bolzoni, M., Pastor-Vivas, A.I., Angelina-García, M., Joya-Seijo, M.D., Trujillo-Luque, D., Losada-Bayo, D., and Barba-Martín, R.
- Abstract
La trombosis venosa de retina (TVR) es la segunda causa más frecuente de enfermedad vascular de la retina y se relaciona con factores de riesgo cardiovascular clásicos. Se diseñó un programa específico para la detección y el tratamiento de factores de riesgo en pacientes con TVR. El objetivo de este estudio es auditar los resultados de dicho programa.
- Published
- 2022
- Full Text
- View/download PDF
37. PROTEASOME INHIBITORS MODULATE OSTEOCYTE DEATH AND AUTOPHAGY IN MULTIPLE MYELOMA
- Author
-
Toscani, D., Carla Palumbo, Ciullo, A., Ferretti, M., Bolzoni, M., Guasco, D., Dalla Palma, B., Aversa, F., and Giuliani, N.
- Subjects
Bortezomib ,Bone disease, Bortezomib, Myeloma ,Bone disease ,Myeloma
38. Dependence on glutamine uptake and glutamine addiction characterize myeloma cells: a new attractive target
- Author
-
Bolzoni M, Martina Chiu, Accardi F, Vescovini R, Airoldi I, Storti P, Todoerti K, Agnelli L, Missale G, Andreoli R, Mg, Bianchi, Allegri M, Barilli A, Nicolini F, Cavalli A, Costa F, Marchica V, Toscani D, Mancini C, and Martella E
39. A package for the implementation of static workload models
- Author
-
Bolzoni, M. L., primary, Calzarossa, M. C., additional, Mapelli, P., additional, and Serazzi, G., additional
- Published
- 1982
- Full Text
- View/download PDF
40. Microvesicles released from multiple myeloma cells are equipped with ectoenzymes belonging to canonical and non-canonical adenosinergic pathways and produce adenosine from ATP and NAD+.
- Author
-
Morandi, F., Marimpietri, D., Castella, B., Faini, A. C., Horenstein, A. L., Malavasi, F., Massaia, M., Bolzoni, M., Toscani, D., Costa, F., Giuliani, N., and Pistoia, V.
- Subjects
MULTIPLE myeloma ,PLASMA cells ,BONE marrow ,ADENOSINES ,EXTRACELLULAR enzymes ,PATIENTS - Abstract
Multiple myeloma (MM) derives from malignant transformation of plasma cells (PC), which accumulate in the bone marrow (BM), where microenvironment supports tumor growth and inhibits anti-tumor immune responses. Adenosine (ADO), an immunosuppressive molecule, is produced within MM patients' BM by adenosinergic ectoenzymes, starting from ATP (CD39/CD73) or NAD
+ [CD38/CD203a(PC-1)/CD73]. These ectoenzymes form a discontinuous network expressed by different BM cells. We investigated the expression and function of ectoenzymes on microvesicles (MVs) isolated from BM plasma samples of patients with MM, using asymptomatic forms of monoclonal gammopathy of undetermined significance (MGUS) and smoldering MM (SMM) as controls. The percentage of MVs expressing ectoenzymes at high levels was higher when derived from MM patients than controls. BM CD138+ PC from MM patients expressed high levels of all ectoenzymes. Paired MVs samples confirmed a higher percentage of MVs with high ectoenzymes expression in MM patients than controls. Pooled MVs from MM patients or controls were tested for ADO production. The catabolism of ATP, NAD+ , ADPR and AMP to ADO was higher in MVs from MM patients than in those from controls. In conclusion, our results confirmed the hypothesis that MVs in MM niche are main contributor of ADO production. The ability of MVs to reach biological fluids strongly support the view that MVs may assume diagnostic and pathogenetic roles. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
41. Variational inference and semi-parametric methods for time-series probabilistic forecasting
- Author
-
BOLZONI, MATTIA, Bolzoni, M, MECATTI, FULVIA, and PELAGATTI, MATTEO MARIA
- Subjects
Semi-parametric ,Variazionale ,SECS-S/03 - STATISTICA ECONOMICA ,Inference ,Inferenza ,Semi-parametrico ,Variational ,Serie temporali ,Reti Neurali ,Time-serie - Abstract
Prevedere la probabilità di eventi futuri è un problema comune. L'approccio più utilizzato assume una struttura fissa per questa probabilità, detta modello, dipendente da variabili latenti dette parametri. Dopo aver osservato dei dati è possibile inferire una distribuzione per queste variabili non osservabili. Il procedimento di inferenza non è sempre immediato, siccome selezionare un singolo valore per i parametri potrebbe portare a scarsi risultati, mentre approssimare una distribuzione usando MCMC potrebbe essere complicato. L'inferenza variazionale (VI) sta ricevendo una crescente attenzione come alternativa per approssimare la distribuzione a posteriori tramite un problema di ottimo. Tuttavia, VI spesso impone una struttura parametrica alla distribuzione proposta. Il primo contributo della tesi, detto Hierarchical Variational Inference (HVI), è una metodologia che utilizza reti neurali per creare un'approssimazione semi-parametrica della distribuzione a posteriori. HVI richiede gli stessi requisiti minimi di un Metropolis-Hastings o di un Hamiltonian MCMC, per essere applicata. Il secondo contributo è un pacchetto Python per l'inferenza variazionale su serie storiche usando modelli media-covarianza. Questo utilizza HVI e tecniche di VI standard combinate con reti neurali. I risultati sperimentali, su dati econometrici e finanziari, mostrano un consistente miglioramento della previsione usando VI, rispetto a stime puntuali dei parametri, in particolare producendo stimatori con minor variabilità. Probabilistic forecasting is a common task. The usual approach assumes a fixed structure for the outcome distribution, often called model, that depends on unseen quantities called parameters. It uses data to infer a reasonable distribution over these latent values. The inference step is not always straightforward, because single-value can lead to poor performances and overfitting while handling a proper distribution with MCMC can be challenging. Variational Inference (VI) is emerging as a viable optimisation based alternative that models the target posterior with instrumental variables called variational parameters. However, VI usually imposes a parametric structure on the proposed posterior. The thesis's first contribution is Hierarchical Variational Inference (HVI) a methodology that uses Neural Networks to create semi-parametric posterior approximations with the same minimum requirements as Metropolis-Hastings or Hamiltonian MCMC. The second contribution is a Python package to conduct VI on time-series models for mean-covariance estimate, using HVI and standard VI techniques combined with Neural Networks. Results on econometric and financial data show a consistent improvement using VI, compared to point estimate, obtaining lower variance forecasting.
- Published
- 2021
42. Cutaneous localization in multiple myeloma in the context of bortezomib-based treatment: how do myeloma cells escape from the bone marrow to the skin?
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Cristina Mancini, Marina Bolzoni, Antonino Neri, Katia Todoerti, Valentina Marchica, Chiara Schifano, Magda Marcatti, Fabrizio Accardi, Nicola Giuliani, Maurilio Ponzoni, Paola Storti, Franco Aversa, Gabriella Sammarelli, Benedetta Dalla Palma, Eugenia Martella, Sabrina Bonomini, Marchica, V., Accardi, F., Storti, P., Mancini, C., Martella, E., Dalla Palma, B., Bolzoni, M., Todoerti, K., Marcatti, M., Schifano, C., Bonomini, S., Sammarelli, G., Neri, A., Ponzoni, M., Aversa, F., and Giuliani, N.
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Male ,Receptors, CXCR4 ,medicine.medical_specialty ,Pathology ,Skin Neoplasms ,Plasma Cells ,Down-Regulation ,Antineoplastic Agents ,Context (language use) ,Plasma cell ,CXCR4 ,Bortezomib ,03 medical and health sciences ,0302 clinical medicine ,Multiple myeloma ,Bone Marrow ,Internal medicine ,medicine ,Humans ,CCR10 ,Skin ,Extramedullary disease ,Hematology ,business.industry ,Skin homing ,Middle Aged ,Intercellular Adhesion Molecule-1 ,medicine.disease ,Gene Expression Regulation, Neoplastic ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Bone marrow ,Multiple Myeloma ,business ,Plasmacytoma ,030215 immunology ,medicine.drug - Abstract
The skin is a possible site of extramedullary localization in multiple myeloma (MM) patients; however, the mechanisms involved in this process are poorly understood. We describe the case of a refractory MM patient who developed a cutaneous localization under bortezomib treatment and we further expanded observations in other eight MM patients. We focused on the expression of genes involved in plasma cell skin homing, including CCR10, which was highly expressed. Moreover, we observed a lack of CXCR4 surface expression and the down-regulation of ICAM1/CD54 throughout the progression of the disease, suggesting a possible mechanism driving the escape of MM cells from the bone marrow into the skin.
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- 2016
43. Microvesicles released from multiple myeloma cells are equipped with ectoenzymes belonging to canonical and non-canonical adenosinergic pathways and produce adenosine from ATP and NAD+.
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Morandi, F., Marimpietri, D., Castella, B., Faini, A. C., Horenstein, A. L., Malavasi, F., Massaia, M., Bolzoni, M., Toscani, D., Costa, F., Giuliani, N., and Pistoia, V.
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- *
MULTIPLE myeloma , *PLASMA cells , *BONE marrow , *ADENOSINES , *EXTRACELLULAR enzymes , *PATIENTS - Abstract
Multiple myeloma (MM) derives from malignant transformation of plasma cells (PC), which accumulate in the bone marrow (BM), where microenvironment supports tumor growth and inhibits anti-tumor immune responses. Adenosine (ADO), an immunosuppressive molecule, is produced within MM patients' BM by adenosinergic ectoenzymes, starting from ATP (CD39/CD73) or NAD+ [CD38/CD203a(PC-1)/CD73]. These ectoenzymes form a discontinuous network expressed by different BM cells. We investigated the expression and function of ectoenzymes on microvesicles (MVs) isolated from BM plasma samples of patients with MM, using asymptomatic forms of monoclonal gammopathy of undetermined significance (MGUS) and smoldering MM (SMM) as controls. The percentage of MVs expressing ectoenzymes at high levels was higher when derived from MM patients than controls. BM CD138+ PC from MM patients expressed high levels of all ectoenzymes. Paired MVs samples confirmed a higher percentage of MVs with high ectoenzymes expression in MM patients than controls. Pooled MVs from MM patients or controls were tested for ADO production. The catabolism of ATP, NAD+, ADPR and AMP to ADO was higher in MVs from MM patients than in those from controls. In conclusion, our results confirmed the hypothesis that MVs in MM niche are main contributor of ADO production. The ability of MVs to reach biological fluids strongly support the view that MVs may assume diagnostic and pathogenetic roles. [ABSTRACT FROM AUTHOR]
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- 2018
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44. Bone osteoblastic and mesenchymal stromal cells lack primarily tumoral features in multiple myeloma patients
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Orsetta Zuffardi, Gabriella Sammarelli, Antonino Neri, Vittorio Rizzoli, Raffaella Villa, Cristina Manferdini, Elena Gabusi, Nicola Giuliani, Luca Agnelli, Antonio Palumbo, Marina Bolzoni, Francesca Novara, Manuela Abeltino, Alberto Rocci, Simona Colla, Paola Storti, Katia Todoerti, Maria Ester Bernardo, Gina Lisignoli, Nadia Zaffaroni, Giuliani, N, Lisignoli, G, Novara, F, Storti, P, Zaffaroni, N, Villa, R, Sammarelli, G, Agnelli, L, Todoerti, K, Bernardo, M, Manferdini, C, Colla, S, Abeltino, M, Bolzoni, M, Rocci, A, Gabusi, E, Palumbo, A, Zuffardi, O, Neri, A, and Rizzoli, V
- Subjects
Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Pathology ,Stromal cell ,Bone Neoplasms ,Bone and Bones ,Mesoderm ,hemic and lymphatic diseases ,Internal medicine ,Immunopathology ,medicine ,Biomarkers, Tumor ,Humans ,Multiple myeloma ,Aged ,Oligonucleotide Array Sequence Analysis ,Aged, 80 and over ,Hematology ,Osteoblasts ,business.industry ,Gene Expression Profiling ,Mesenchymal stem cell ,Cancer ,Osteoblast ,Middle Aged ,Telomere ,medicine.disease ,medicine.anatomical_structure ,Oncology ,Case-Control Studies ,Female ,Stromal Cells ,business ,Multiple Myeloma - Abstract
Bone osteoblastic and mesenchymal stromal cells lack primarily tumoral features in multiple myeloma patients
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- 2010
45. The use of adhesive elastic tape for hand oedema control in patients with a wrist fracture treated in a cast: A pilot study.
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Guasconi M, Zilli Riboni D, Civardi A, Bolzoni M, Granata C, Beretta M, Genovese A, Mozzarelli F, Quattrini F, and Maniscalco P
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- Humans, Pilot Projects, Male, Female, Middle Aged, Adult, Aged, Athletic Tape, COVID-19 complications, Wrist Fractures, Edema, Casts, Surgical, Wrist Injuries
- Abstract
Background: The adhesive elastic tape use is indicated for controlling oedema, although currently there is not the definitive evidence regarding its effectiveness. Wrist fractures are a frequent occurrence, often leading to oedema development in patients treated with forearm casts. This pilot study aims to investigate the effects of elastic tape in controlling hand oedema among patients with forearm casts for wrist fractures and the feasibility of a future randomized controlled trial., Methods: The study was conducted on adult patients with unilateral conservatively treated wrist fracture. The tape was applied to the intervention group after cast application, while the control group received the standard treatment. The circumference difference between baseline and the 7-day follow-up of both the 1st finger and the remaining 4 fingers merged together was evaluated. Ethical approval for the study has been obtained., Results: 23 participants were enrolled. The intervention group showed a higher reduction in finger circumferences compared to the control group (median difference T1-T0 No tape vs Tape: 0 cm vs -0.2 cm for the 1st finger and 0.5 cm vs -0.5 cm for the remaining 4 fingers), although the changes were not statistically significant., Conclusion: Although the number of enrolled patients was limited due to Covid-19 pandemic, the study results suggest a potential reduction in oedema after the use of adhesive elastic tape, justifying the needed of a future full-scale study. Given its low cost and ease of use, we believe that tape can be considered in clinical practice., Trial Registration: ClinicalTrials.gov Identifier: NCT04683887., Competing Interests: Declaration of competing interest Andrea Civardi is the specialist from the company producing the tape (Essity), he did contribute to the design of the study and trained nurses in the tape's application and he didn't participate in the acquisition and analysis of data. The other authors declare that they have no conflicts of interest., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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46. Assessing satisfaction in simulation among nursing students: psychometric properties of the Satisfaction with Simulation Experience - Italian Version scale.
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Alberti S, Guasconi M, Bolzoni M, Donnini G, Volpi P, Rovesti S, Monaco F, Bonacaro A, and Ferri P
- Abstract
Background: The Satisfaction with Simulation Experience scale is a 5-point Likert scale that measures students' satisfaction in medium and high-fidelity simulation scenarios. This study aims at investigating the psychometric properties of the Satisfaction with Simulation Experience - Italian Version scale., Methods: A multi-centre cross-sectional study was conducted. The scale was administered to a sample of 266 undergraduate nursing students from two Italian universities after attending a medium- and high-fidelity simulation session in November 2022 and March 2023. Cronbach's alpha coefficient and item-total correlation were sorted out to assess internal consistency and reliability. The test-retest method was used as a measure of scale stability over time as well as the confirmatory factor analysis to verify construct validity., Results: The Cronbach's alpha value was 0.94 for the overall scale, indicating excellent reliability, and it was 0.84 or higher for each subscales, indicating good reliability. A large correlation coefficient of 0.60 or higher was found between each item and its subscale and between each item and the overall scale score. A medium test-retest correlation coefficient was found for most items (r > 0.30). The confirmatory factor analysis confirmed the factorial structure found in the original study., Conclusions: Satisfaction is an important teaching and learning quality indicator along with the achievement of learning outcomes in simulation. The Satisfaction with Simulation Experience - Italian Version scale showed good reliability and validity; therefore, it could be a useful tool to assess simulation impact in Italian nursing students. The extensive utilization of the Satisfaction with Simulation Experience scale, along with its various validated versions, could facilitate assessing satisfaction in simulation across diverse contexts and enable comparisons of findings across studies in different countries., (© 2024. The Author(s).)
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- 2024
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47. [Clinical trials approved by Aifa for Covid-19: report of the main results to fill the unmet medical need.]
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Confalonieri C, Orcesi A, Lasala R, Bolzoni M, Tansini M, and Cattadori E
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- Humans, ChAdOx1 nCoV-19, Interleukin 1 Receptor Antagonist Protein, Evidence-Based Medicine, COVID-19, Biomedical Research
- Abstract
Introduction: the rapidity with which the Coronavirus epidemic emergency exploded took the scientific community by surprise, unprepared for such an event. The objective of this work is to evaluate, to date, the state of the art of the clinical trials approved by Aifa, analyzing the characteristics of the single completed and published trials and the authorization status for the use of the drugs under study in the treatment of Covid-19., Materials and Methods: The protocols available for each clinical study were extrapolated from the Aifa website relating to the management of clinical trials in Italy during the Covid-19 emergency; the unique EudraCT and Nct codes were extrapolated from these, verifying their publication using the PubMed search engine, the ClinicalTrials.gov platform, the EU Clinical Trials Register portal and the website of the pharmaceutical company identified as the promoter of the study. The characteristics of the individual trials useful for the analysis were extracted from the published papers. Finally, a comparison was made between the studies relating to experimental drugs which were subsequently authorized for the Covid-19 indication and the studies relating to drugs which have not yet been authorized to date., Results: In total, Aifa approved 94 between March 2020 and March 2022; of these, 22 are not listed on ClinicalTrials.gov; of the 72 trials listed on ClinicalTrials.gov, 31 (43%) were published, for a total of 25 drugs. Of the authorized and published trials, 26 report the "mortality endpoint". The most studied drugs are remdesivir and tocilizumab with 3 studies each, methylprednisone and molnupravir with 2. 14 studies are phase III, of these 12 used a drug as an experimental treatment which was then approved for Covid-19. Of the 41 trials present on ClinicalTrials.gov that have not yet been published, 21 are terminated. The drugs anakinra, remdesivir, molnupravir, regdanvimab, tocilizumab, AZD1222 vaccine have been updated/registered for Covid-19 indication; anakinra, baricitinib, tocilizumab and sarilumab have been included in the list of Law 648/96; remdesivir, canakinumab and ruxolitinib have been entered into compassionate use programmes., Discussion and Conclusions: The methods of early access to therapy have allowed an alternative to patients who are not eligible for the ongoing trials. The challenge that the scientific community has faced has strengthened the culture of evidence-based medicine.
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- 2023
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48. The Mental Health of Patients With Psychotic Disorder From a Positive, Multidimensional and Recovery Perspective.
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Broncano-Bolzoni M, González-Carrasco M, Juvinyà-Canal D, and Lluch-Canut M
- Abstract
Positive mental health (PMH) and mental illness are distinct, yet interrelated, constructs. However, this relationship has yet to be adequately established. We aimed to evaluate the level of PMH and its relationship with sociodemographic and clinical determinants as well as to explore the relationship between PMH and the positive constructs of recovery, subjective wellbeing (SWB), insight and functioning in patients with psychotic disorder. A multicenter, descriptive, cross-sectional and correlational study with a sample of 347 patients with psychotic disorder was conducted. The following assessment instruments were used: Positive Mental Health Questionnaire, Maryland Assessment of Recovery in Serious Mental Illness scale, Insight Scale, Personal Wellbeing Index-Adult version (PWI-A), Overall Life Satisfaction (OLS) and Global Assessment of Functioning scale. The mean global level of PMH was 116.16 (range of 39-156, SD = 19.39). Significant differences were found in PMH in relation to sociodemographic (sex, civil status and employment situation) and clinical variables (family history of mental disorders, number of prescribed antipsychotics, treatment with anxiolytics, treatment with antidepressants and suicide attempts). PMH was significantly and positively correlated with recovery ( r = 0.760), SWB (PWI-A: r = 0.728 and OLS: r = 0.602) and functioning ( r = 0.243), and negatively with insight ( r = -0.335). These results can lead to a major change in mental health care. If actions are taken to increase PMH, then recovery, SWB and functioning will also increase. At the same time, interventions should be carried out to boost insight, since increasing PMH could decrease insight, all resulting in better quality of life for patients with psychotic disorder., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Broncano-Bolzoni, González-Carrasco, Juvinyà-Canal and Lluch-Canut.)
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- 2022
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49. Randomised controlled prospective study of the use of adhesive elastic tape for the control of hand oedema in patients with a wrist fracture treated in a cast: a study protocol.
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Guasconi M, Riboni DZ, Granata C, Bolzoni M, Beretta M, Mozzarelli F, and Maniscalco P
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- Edema etiology, Edema prevention & control, Humans, Prospective Studies, Randomized Controlled Trials as Topic, Treatment Outcome, Wrist, Radius Fractures complications, Radius Fractures therapy, Wrist Injuries
- Abstract
Background: Wrist fractures are a common occurrence, affecting patients of all ages. Wrist fracture patients often develop oedema and the presence of a cast increases the risk. The use of adhesive elastic tape is indicated for oedema control, but there is no definitive evidence of its effectiveness. This study aims to evaluate the effectiveness of the tape in control of hand oedema in wrist fracture patients with a forearm cast., Methods: We present a study protocol for a randomised controlled trial with blinded data processing. We will apply the tape to the intervention group after cast application, while the control group will receive the standard treatment. We will evaluate the circumference difference between baseline (T0) and the 7-day follow-up (T1) of both the thumb and of the other 4 fingers merged together. We will collect data regarding re-attendance to the Orthopedic Emergency Room due to "intolerance to the plaster cast". Sample size calculations resulted in a required total of 220 participants (110 per group). Ethical approval for the study has been obtained., Discussion: We aim to demonstrate that the use of tape improves the tolerability of the cast by reducing the oedema formation, the feeling of constriction and pain., Trial Registration: ClinicalTrial.gov Identifier: NCT04683887., (Copyright © 2021 Elsevier Ltd. All rights reserved.)
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- 2022
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50. Assessment and pain management during the triage phase of children with extremity trauma. A retrospective analysis in a Pediatric Emergency Room after the introduction of the PIPER recommendations.
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Granata C, Guasconi M, Ruggeri F, Bolzoni M, Grossi CF, Biasucci G, and Cella A
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- Child, Emergency Service, Hospital, Extremities, Humans, Italy, Pain diagnosis, Pain drug therapy, Pain etiology, Retrospective Studies, Pain Management, Triage
- Abstract
Background and Aim of the Work: Pain is one of the most common symptoms in children who access the Pediatric Emergency Room (PER). However, many studies show that it is poorly evaluated and treated during the triage phase and that in many cases algometric scales aren't used for its evaluation. Faced with this, the Piacenza PER (Italy) implemented the Pain in Pediatric Emergency Room (PIPER) recommendations for the assessment and management of pain from the 1st July 2017. The aim of this study was to detect the possible differences in the trend of the outcomes for the detection and treatment of pain in July-October 2016, 2017, 2018., Methods: A retrospective observational study was chosen. 811 discharge letters of extremity traumatized children aged 0-9 years were analyzed, of which 309 referred to the 2016 quarter, 243 to the 2017 quarter and 259 to the 2018 quarter., Results: In 2016, the pain of 12 patients was assessed out of a total of 309, in 2017 of 227 out of 243 and in 2018 of 245 out of 259. The Chi Square test about assessed and not assessed pain, gave statistically significant value (p = 1.36E-98), comparing 2016vs2017 and gave not significant value comparing 2017vs2018 (p = 0.58). 4 patients were treated during the triage phase in 2016, 68 in 2017 and 70 in 2018., Conclusions: Recommendations introduction has increased the frequency of pain algometric measurements during the triage phase by leading to an improvement in the nursing care outcomes in terms of pediatric pain management.
- Published
- 2020
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