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52. METHODS, DATA AND TOOLS FOR FACILITATING A 3D CULTURAL HERITAGE SPACE

Author

E. M. Farella, S. Rigon, F. Remondino, A. Stan, G. Ioannidis, S. Münster, M. Medici, F. Maietti, and A. Sánchez

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

In recent years, the cultural heritage (CH) sector has experienced a rapid evolution due to the introduction of increasingly powerful digital technologies and ICT (Information and Communication Technologies) solutions. As for many other domains, digital data, Artificial Intelligence (AI), and Extended Reality (XR) are opening up extraordinary opportunities for expanding heritage knowledge capabilities while boosting the research on innovative solutions for its valorisation and preservation. Being aware of the fundamental and strategic role of CH in the history and identity of the European countries, the European Commission has assumed a central role in fuelling the policy debate and putting together stakeholders to take a step forward in CH digitization and use, primarily through initiatives, programs, and recommendations. Within this framework, the ongoing European 5DCulture project (https://www.5dculture.eu/) has been funded to enrich the offer of 3D CH digital assets in the common European Data Space for Cultural Heritage by creating high-quality 3D contents and to foster their re-use in several sectors, from tourism to education. Through 8 re-use scenarios around historic buildings and cityscapes, archaeology, and fashion, the project aims to deliver a set of digital tools and increase the capacity of CH institutions to more effectively re-use their 3D digital assets.

Published
2024
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53. Comparison Between UKF and EKF in Sensorless Synchronous Reluctance Motor Drives

Author

Saverio Rigon, Benedikt Haus, Paolo Mercorelli, and Mauro Zigliotto

Subjects
Kalman filter, extended kalman filter, sensorless, unscented kalman filter, synchronous reluctance motor (SynRM), AC machines, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

The reduction of the human environmental footprint can be achieved through the use of more efficient motors, such as synchronous reluctance motors (SynRMs). Known for their affordability, SynRMs are increasingly employed in sensorless AC drives. This paper presents a critical comparison of sensorless algorithms based on two nonlinear Kalman Filters (Unscented and Extended). The objective is to highlight the theoretical and practical advantages and drawbacks of each method when applied to the speed control of a SynRM, culminating in a definitive decision on the best choice. The magnetic model of the SynRM is much more nonlinear than that of induction motors, which are predominantly addressed in existing literature. This study aims to fill the gap by answering the question: “Is the extended Kalman filter still the best choice even in the case of nonlinear electric motors?” The answer comes through a large batch of experiments, including speed and load torque tests, zero-speed standstill starts, parameter sensitivity, and evaluation of computational burdens for both Kalman filter algorithms.

Published
2024
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54. Conjugate priors and bias reduction for logistic regression models

Author

Rigon, Tommaso and Aliverti, Emanuele

Subjects
Statistics - Methodology
Abstract

Logistic regression models for binomial responses are routinely used in statistical practice. However, the maximum likelihood estimate may not exist due to data separability. We address this issue by considering a conjugate prior penalty which always produces finite estimates. Such a specification has a clear Bayesian interpretation and enjoys several invariance properties, making it an appealing prior choice. We show that the proposed method leads to an accurate approximation of the reduced-bias approach of Firth (1993), resulting in estimators with smaller asymptotic bias than the maximum-likelihood and whose existence is always guaranteed. Moreover, the considered penalized likelihood can be expressed as a genuine likelihood, in which the original data are replaced with a collection of pseudo-counts. Hence, our approach may leverage well established and scalable algorithms for logistic regression. We compare our estimator with alternative reduced-bias methods, vastly improving their computational performance and achieving appealing inferential results.

Published
2022

55. Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa

Author

Zito, Alessandro, Rigon, Tommaso, and Dunson, David B.

Subjects
Statistics - Applications, Statistics - Methodology
Abstract

In ecology it has become common to apply DNA barcoding to biological samples leading to datasets containing a large number of nucleotide sequences. The focus is then on inferring the taxonomic placement of each of these sequences by leveraging on existing databases containing reference sequences having known taxa. This is highly challenging because i) sequencing is typically only available for a relatively small region of the genome due to cost considerations; ii) many of the sequences are from organisms that are either unknown to science or for which there are no reference sequences available. These issues can lead to substantial classification uncertainty, particularly in inferring new taxa. To address these challenges, we propose a new class of Bayesian nonparametric taxonomic classifiers, BayesANT, which use species sampling model priors to allow new taxa to be discovered at each taxonomic rank. Using a simple product multinomial likelihood with conjugate Dirichlet priors at the lowest rank, a highly efficient algorithm is developed to provide a probabilistic prediction of the taxa placement of each sequence at each rank. BayesANT is shown to have excellent performance in real data, including when many sequences in the test set belong to taxa unobserved in training.

Published
2022

58. Relationship Between Multi-Teaching Styles and Didactics Effectiveness on Rugby Instructors and Minirugby Players

Author

Marta Rigon, Gabriele Signorini, Raffaele Scurati, Athos Trecroci, Dario Colella, Damiano Formenti, Giampiero Merati, Domenico Cherubini, and Pietro Luigi Invernizzi

Subjects
teaching styles, sport education, competent instructor, didactical success, instructor’s empathy, systems thinking, Pediatrics, RJ1-570
Abstract

Background/Objectives: The concept of educational systems thinking shows the rugby educational system as a network of multiple interactive and interconnected elements. However, the frameworks presented in the literature for developing sports practice through an educational vision and multisport engagement do not always have direct transferability to instructors’ training courses. The study aims to evaluate the correlation between rugby instructors’ methodological and didactical competencies and compare them with children’s motor competence and psychological aspects. Methods: Two hundred twenty children (9.6 ± 1.1 years) and 50 instructors (39.0 ± 13.6 years) were enrolled. Instructors’ competencies were investigated during the internship through evaluation sheets, questionnaires, and video analysis. Children’s motor competence and psychological aspects were investigated through motor tests, questionnaires, and video analysis. Results: The correlation between methodological competencies and didactical-communicative competencies showed a positive significance, especially regarding production styles. Motor competence and play skills in children showed poor results. The group of instructors with more methodological competencies (a greater number of teaching styles used) showed a strong correlation between motor competence and psychological aspects. Conclusions: For successful teaching, knowledge of specific technical skills is not enough, and it is important to consider all the factors (in particular, the teaching-communicative and methodological skills) that contribute most to instructors’ skills.

Published
2024
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61. Magnetospheric Venus Space Explorers (MVSE) mission: A proposal for understanding the dynamics of induced magnetospheres

Author

Albers, Roland, Andrews, Henrik, Boccacci, Gabriele, Pires, Vasco D.C., Laddha, Sunny, Lundén, Ville, Maraqten, Nadim, Matias, João, Krämer, Eva, Schulz, Leonard, Palanca, Ines Terraza, Teubenbacher, Daniel, Baskevitch, Claire, Covella, Francesca, Cressa, Luca, Moreno, Juan Garrido, Gillmayr, Jana, Hollowood, Joshua, Huber, Kilian, Kutnohorsky, Viktoria, Lennerstrand, Sofia, Malatinszky, Adel, Manzini, Davide, Maurer, Manuel, Nidelea, Daiana Maria Alessandra, Rigon, Luca, Sinjan, Jonas, Suarez, Crisel, Viviano, Mirko, and Knutsen, Elise Wright

Published
2024
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62. Lack of association between classical HLA genes and asymptomatic SARS-CoV-2 infection

Author

Abel, Laurent, Aiuti, Alessandro, Al-Muhsen, Saleh, Al-Mulla, Fahd, Amara, Ali, Anderson, Mark S., Andreakos, Evangelos, Arias, Andrés A., Arkin, Lisa M., Feldman, Hagit Baris, Bastard, Paul, Belot, Alexandre, Biggs, Catherine M., Bogunovic, Dusan, Bolze, Alexandre, Bondarenko, Anastasiia, Borghesi, Alessandro, Bousfiha, Ahmed A., Brodin, Petter, Bryceson, Yenan, Butte, Manish J., Casanova, Jean-Laurent, Casari, Giorgio, Christodoulou, John, Cobat, Aurélie, Colobran, Roger, Condino-Neto, Antonio, Constantinescu, Stefan N., Cooper, Megan A., Dalgard, Clifton L., Desai, Murkesh, Drolet, Beth A., Duval, Xavier, El Baghdadi, Jamila, Eloy, Philippine, Espinosa-Padilla, Sara, Fellay, Jacques, Flores, Carlos, Franco, José Luis, Froidure, Antoine, Gorochov, Guy, Gregersen, Peter K., Grimbacher, Bodo, Haerynck, Filomeen, Hagin, David, Halwani, Rabih, Hammarström, Lennart, Heath, James R., Hsieh, Elena W.Y., Husebye, Eystein, Imai, Kohsuke, Itan, Yuval, Jouanguy, Emmanuelle, Kaja, Elżbieta, Karamitros, Timokratis, Kisand, Kai, Ku, Cheng-Lung, Lau, Yu-Lung, Ling, Yun, Lucas, Carrie L., Maniatis, Tom, Mansouri, Davood, Maródi, László, Mentré, France, Meyts, Isabelle, Milner, Joshua D., Mironska, Kristina, Mogensen, Trine H., Morio, Tomohiro, Ng, Lisa F.P., Notarangelo, Luigi D., Novelli, Antonio, Novelli, Giuseppe, O'Farrelly, Cliona, Okada, Satoshi, Okamoto, Keisuke, Ozcelik, Tayfun, Pan-Hammarström, Qiang, Pape, Jean W., Perez de Diego, Rebeca, Perez-Tur, Jordi, Perlin, David S., Pesole, Graziano, Planas, Anna M., Prando, Carolina, Pujol, Aurora, Puel, Anne, Quintana-Murci, Lluis, Ramaswamy, Sathishkumar, Renia, Laurent, Resnick, Igor, Rodríguez-Gallego, Carlos, Sancho-Shimizu, Vanessa, Sediva, Anna, Seppänen, Mikko R.J., Shahrooei, Mohammad, Shcherbina, Anna, Slaby, Ondrej, Snow, Andrew L., Soler-Palacín, Pere, Soumelis, Vassili, Spaan, András N., Tancevski, Ivan, Tangye, Stuart G., Tayoun, Ahmad Abou, Temel, Şehime Gülsün, Thorball, Christian, Tiberghien, Pierre, Trouillet-Assant, Sophie, Turvey, Stuart E., Uddin, K. M. Furkan, Uddin, Mohammed J., van de Beek, Diederik, Vinh, Donald C., von Bernuth, Horst, Wauters, Joost, Zatz, Mayana, Zawadzki, Pawel, Zhang, Qian, Zhang, Shen-Ying, Bureau, Serge, Vacher, Yannick, Gysembergh-Houal, Anne, Demerville, Lauren, Benleulmi-Chaachoua, Abla, Abad, Sebastien, Abassi, Radhiya, Abdellaoui, Abdelrafie, Abdelmalek, Abdelkrim, Abdoul, Hendy, Abergel, Helene, Abeud, Fariza, Abgrall, Sophie, Abisror, Noemie, Adechian, Marylise, Aderdour, Nordine, Admane, Hakeem Farid, Adnet, Frederic, Afritt, Sara, Agostini, Helene, Aguilar, Claire, Agut, Sophie, Aiello, Tommaso Francesco, Kaci, Marc Ait, Oufella, Hafid Ait, Ajeenthiravasan, Gokula, Alauzy, Virginie, Alby-Laurent, Fanny, Allard, Lucie, Alyanakian, Marie-Alexandra, Borrero, Blanca Amador, Amam, Sabrina, Amrouche, Lucile, Andronikof, Marc, Anglicheau, Dany, Anguel, Nadia, Annane, Djillali, Aounzou, Mohammed, Aparicio, Caroline, Aratus, Gladys, Arlet, Jean-Benoit, Arzoine, Jeremy, Aslangul, Elisabeth, Assefi, Mona, Aubry, Adeline, Audiffred, Laetitia, Audureau, Etienne, Auger, Christelle Nathalie, Auregan, Jean-Charles, Awotar, Celine, Milla, Sonia Ayllon, Azan, Delphine, Azemar, Laurene, Azzouguen, Billal, Elrufaai, Marwa Bachir, Badsi, Aïda, Bakouboula, Prissile, Balcerowiak, Coline, Balde, Fanta, Baldivia, Elodie, Bangamingo, Eliane-Flore, Baptiste, Amandine, Baran-Marszak, Fanny, Barau, Caroline, Barget, Nathalie, Baronnet, Flore, Barthelemy, Romain, Baudel, Jean-Luc, Baudry, Camille, Baudry, Elodie, Beaugerie, Laurent, Belamri, Adel, Belaube, Nicolas, Belilita, Rhida, Bellassen, Pierre, Belmokhtar, Rawan, Beltran, Isabel, Benainous, Ruben, Benallaoua, Mourad, Benamouzig, Robert, Benbara, Amélie, Benhida, Jaouad, Benkhelouf, Anis, Benlagha, Jihene, Benmostafa, Chahinez, Benothmane, Skander, Bentifraouine, Miassa, Berard, Laurence, Bernier, Quentin, Berti, Enora, Bertier, Astrid, Berton, Laure, Bessis, Simon, Beurton, Alexandra, Bianco, Celine, Bianquis, Clara, Bidar, Frank, Blanche, Philippe, Blayau, Clarisse, Bleibtreu, Alexandre, Blin, Emmanuelle, Bloch-Queyrat, Coralie, Boissier, Marie-Christophe, Bollens, Diane, Bolzoni, Marion, Bompard, Rudy pierre, Bonnet, Nicolas, Bonnouvrier, Justine, Botha, Shirmonecrystal, Boucenna, Wissam, Bouchama, Fatiha, Bouchaud, Olivier, Bouchghoul, Hanane, Boudjebla, Taoueslylia, Boudjema, Noel, Bouffard, Catherine, Bougle, Adrien, Bouguerra, Meriem, Bouras, Leila, Bourcier, Agnes, Durand, Anne Bourgarit, Bourrier, Anne, Bouscarat, Fabrice, Bouvry, Diane, Bouziri, Nesrine, Bouzrara, Ons, Bribier, Sarah, Brugier, Delphine, Brunel, Melanie, Bui, Eida, Buisson, Anne, Bukreyeva, Iryna, Bureau, Côme, Cadranel, Jacques, Cailhol, Johann, Calin, Ruxandra, Vega, Clara Campos, Canavaggio, Pauline, Cancella, Marta, Cantin, Delphine, Cao, Albert, Carbillon, Lionel, Carlier, Nicolas, Cassard, Clementine, Castor, Guylaine, Cauchy, Marion, Cha, Olivier, Chaigne, Benjamin, Challal, Salima, Champion, Karine, Chariot, Patrick, Chas, Julie, Chauveau, Simon, Chauvin, Anthony, Chauvin, Clement, Chavarot, Nathalie, Chebbout, Kamélia, Cherai, Mustapha, Cherubini, Ilaria, Chevalier, Amelie, Chiarabini, Thibault, Chinet, Thierry, Chocron, Richard, Choinier, Pascaline, Chommeloux, Juliette, Choquet, Christophe, Choupeaux, Laure, Chousterman, Benjamin, Ciocan, Dragosmarius, Clarke, Ada, Clavere, Gaëlle, Clavier, Florian, Clement, Karine, Clerc, Sebastien, Cohen, Yves, Cohen, Fleur, Cohen, Adrien, Coilly, Audrey, Colboc, Hester, Colin, Pauline, Collet, Magalie, Comarmond, Chloé, Combacon, Emeline, Combes, Alain, Comparon, Celine, Constantin, Jean-Michel, Cordel, Hugues, Cordier, Anne-Gael, Costantini, Adrien, Chalumeau, Nathalie Costedoat, Couffignal, Camille, Coupeau, Doriane, Creange, Alain, Lamarre, Yannie Cuvillier, Da Silveira, Charlène, Guibal El Kayani, Sandrine Dautheville, De Castro, Nathalie, De Rycke, Yann, Del Pozo, Lucie, Delannoy, Quentin, Delay, Mathieu, Deleris, Robin, Delforge, Juliette, Delphine, Laëtitia, Demare, Noemie, Demeret, Sophie, Demoule, Alexandre, Deniau, Aurore, Depret, François, Derolez, Sophie, Derradji, Ouda, Derridj, Nawal, Descamps, Vincent, Deschamps, Lydia, Desconclois, Celine, Desnos, Cyrielle, Desongins, Karine, Dhote, Robin, Diallo, Benjamin, Didier, Morgane, Diemer, Myriam, Diez, Stephane, Djadi-Prat, Juliette, Djamouri Monnory, Fatima-Zohra, Djebara, Siham, Djebra, Naoual, Djietcheu, Minette, Djillali, Hadjer, Djouadi, Nouara, Donneger, Severine, Santos, Catarina Dos, Dournon, Nathalie, Dres, Martin, Droctove, Laura, Drogrey, Marie, Dropy, Margot, Drouet, Elodie, Dubosq, Valérie, Dubreucq, Evelyne, Dubus, Estelle, Duchemann, Boris, Duchenoy, Thibault, Dudoignon, Emmanuel, Dufau, Romain, Dumas, Florence, Duran, Clara, Duron, Emmanuelle, Durrbach, Antoine, Duvivier, Claudine, Ebstein, Nathan, El Khalifa, Jihane, Elabbadi, Alexandre, Elie, Caroline, Ernotte, Gabriel, Esling, Anne, Etienne, Martin, Eyer, Xavier, Fartoukh, Muriel Sarah, Fayali, Takoua, Fermaut, Marion, Fiorentino, Arianna, Fliss, Souha, Fournier, Marie-Céline, Fournier, Benjamin, Francois, Hélène, Freynet, Olivia, Frigout, Yvann, Fromont, Isaure, Fuentes, Axelle, Furet, Thomas, Galand, Joris, Garnier, Marc, Gaubert, Agnes, Gaudry, Stéphane, Gaugain, Samuel, Gauthier, Damien, Gautier, Maxime, Georgin-Lavialle, Sophie, Geromin, Daniela, Ghalayini, Mohamed, Ghaleh, Bijan, Ghezal, Myriam, Gibelin, Aude, Gimeno, Linda, Girard, Benoit, Leprieur, Bénédicte Giroux, Gomes, Doryan, Gomes-Pires, Elisabete, Gouge, Anne, Gouja, Amel, Goulet, Helene, Goupil, Sylvain, De Bouille, Jeanne Goupil, Gras, Julien, Greffe, Segolene, Grimaldi, Lamiae, Guedeney, Paul, Guidet, Bertrand, Guillo, Matthias, Gulczynski, Mariechristelle, Hadjam, Tassadit, Haguenauer, Didier, Hammal, Soumeya, Hammoudi, Nadjib, Hanon, Olivier, Harrois, Anarole, Hausfater, Pierre, Hautem, Coraline, Hekimian, Guillaume, Heming, Nicholas, Hermine, Olivier, Ho, Sylvie, Houllier, Marie, Huot, Benjamin, Huscenot, Tessa, Saied, Wafa Ibn, Ikherbane, Ghilas, Imarazene, Meriem, Ingiliz, Patrick, Iratni, Lina, Jaureguiberry, Stephane, Jean-Marc, Jean-Francois, Jeyarajasingham, Deleena, Jouany, Pauline, Jouis, Veronique, Jourdaine, Clement, Kafif, Ouifiya, Kallala, Rim, Katsahian, Sandrine, Kelesyan, Lilit, Keo, Vixra, Ketz, Flora, Khamis, Warda, Khelili, Enfel, Khellaf, Mehdi, Kotokpo Youkou, Christy Gaëlla, Kounis, Ilias, Kpalma, Gaelle, Krause, Jessica, Labbe, Vincent, Lacombe, Karine, Lacorte, Jean-Marc, Lafont, Anne Gaelle, Lafont, Emmanuel, Lagha, Lynda, Lamhaut, Lionel, Lancelot, Aymeric, Landman, Cecilia, Lanternier, Fanny, Larcheveque, Cecile, Combe, Caroline Lascoux, Lassel, Ludovic, Laverdant, Benjamin, Lavergne, Christophe, Lavillegrand, Jean-Rémi, Lazureanu, Pompilia, Le Guennec, Loïc, Leberre, Lamia, Leblanc, Claire, Leboyer, Marion, Lecomte, Francois, Lecorre, Marine, Leenhardt, Romain, Lefebvre, Marylou, Lefebvre, Bénédicte, Legendre, Paul, Leger, Anne, Legros, Laurence, Legrosse, Justyna, Lehuunghia, Sébastien, Lemarec, Julien, Leporrier-Ext, Jeremie, Lesein, Manon, Lesur, Hubert, Levy, Vincent, Levy, Albert, Lopes, Edwige, Lopes, Amanda, Lopez, Vanessa, Lopinto, Julien, Lortholary, Olivier, Louadah, Badr, Loze, Bénédicte, Lucas, Marie-Laure, Lucasamichi, Axelle, Luong, Liem Binh, Magazimama-Ext, Arouna, Maingret, David, Mameri, Lakhdar, Manivet, Philippe, Mansouri, Cylia, Marcault, Estelle, Marey, Jonathan, Marin, Nathalie, Marois, Clémence, Martin, Olivier, Martineau, Lou, Martinez-Lopez, Cannelle, Martyniuck, Pierre, De Farcy, Pauline Mary, Marzouk, Nessrine, Masmoudi, Rafik, Mebazaa, Alexandre, Mechai, Frédéric, Mecozzi, Fabio, Mediouni, Chamseddine, Megarbane, Bruno, Meghadecha, Mohamed, Mejean, Élodie, Mekinian, Arsene, Abdelhadi, Nour Mekki, Mekni, Rania, Meliti, Thinhinan Sabrina, Lima, Breno Melo, Meng, Paris, Merbah, Soraya, Messani, Fadhila, Messaoudi, Yasmine, Mewasing, Baboo-Irwinsingh, Meziane, Lydia, Michelot-Burger, Carole, Mignot, Françoise, Minka, Fadi Hillary, Miyara, Makoto, Moine, Pierre, Molina, Jean-Michel, Montegnies-Boulet, Anaïs, Monti, Alexandra, Montlahuc, Claire, Montout, Anne-Lise, Moores, Alexandre, Morbieu, Caroline, Mortelette, Helene, Mouly, Stéphane, Muzaffar, Rosita, Nacerddine, Cherifa Iness, Nadal, Marine, Nadif, Hajer, Nassarmadji, Kladoum, Natella, Pierre, Ndingamondze, Sandrine, Neraal, Stefan, Nguyen, Caroline, N'Guyen, Bao, Larmurier, Isabelle Nion, Nlomenyengue, Luc, Noel, Nicolas, Nunes, Hilario, Omar, Edris, Ouazene, Zineb, Ouedraogo, Elise, Ouelaa, Wassila, Oukhedouma, Anissa, Amara, Yasmina Ould, Oya, Herve, Oziel, Johanna, Padilla, Thomas, Paillaud, Elena, Paiva, Solenne, Parfait, Beatrice, Parize, Perrine, Parizot, Christophe, Parrot, Antoine, Pavot, Arthur, Peaudecerf, Laetitia, Pene, Frédéric, Pepin, Marion, Pernet, Julie, Pernin, Claire, Petit, Mylène, Peyrony, Olivier, Pietri, Marie-Pierre, Pietri, Olivia, De Chambrun, Marc Pineton, Pinson, Michelle, Pintado, Claire, Piquard, Valentine, Pires, Christine, Planquette, Benjamin, Poirier, Sandrine, Pomel, Anne-Laure, Pons, Stéphanie, Ponscarme, Diane, Pourcelot, Annegaelle, Pourcher, Valérie, Pouvaret, Anne, Prever, Florian, Previlon, Miresta, Prevost, Margot, Provoost, Marie-Julie, Quemeneur, Cyril, Rafat, Cédric, Rami, Agathe, Ranque, Brigitte, Raphael, Maurice, Raphalen, Jean Herle, Rastoin, Anna, Raux, Mathieu, Rebai, Amani, Reby, Michael, Regent, Alexis, Regrag, Asma, Resche-Rigon, Matthieu, Ressaire, Quentin, Richard, Christian, Richard, Mariecaroline, Robert, Maxence, Rohaut, Benjamin, Rolland-Debord, Camille, Ropers, Jacques, Roque-Afonso, Anne-Marie, Rosso, Charlotte, Rousseaux, Mélanie, Rousseaux, Nabila, Roux, Swasti, Roux, Lorène, Rouzaud, Claire, Rozes, Antoine, Rubenstein, Emma, Sabate, Jean-Marc, Sabet, Sheila, Sacleux, Sophie-Caroline, Kermanach, Nathalie Saidenberg, Saliba, Faouzi, Salmon, Dominique, Savale, Laurent, Savary, Guillaume, Sberro, Rebecca, Scemla, Anne, Schlemmer, Frederic, Schwartz, Mathieu, Sedfi, Saïd, Sefir-Kribel, Samia, Seksik, Philippe, Sellier, Pierre, Selves, Agathe, Sembach, Nicole, Semerano, Luca, Senat, Marie-Victoire, Sene, Damien, Serris, Alexandra, Sese, Lucile, Sghiouar, Naima, Sigaux, Johanna, Siguier, Martin, Silvain, Johanne, Simon, Noémie, Simon, Tabassome, Skandri, Lina Innes, Slimani, Miassa, Snauwaert, Aurélie, Sokol, Harry, Soliman, Heithem, Soltani, Nisrine, Soyer, Benjamin, Steg, Gabriel, Suarez, Lydia, Szwebel, Tali-Anne, Taffame, Kossi, Tandjaoui-Lambiotte, Yacine, Tantet, Claire, Tateo, Mariagrazia, Theodose, Igor, Thiebaud, Pierre clement, Thomas, Caroline, Tiercelet, Kelly, Tisserand, Julie, Tomczak, Carole, Torelino, Krystel, Touam-Ext, Fatima, Toumi, Lilia, Toury, Gustave, Toy-Miou, Mireille, Dinh Thanh Lien, Olivia Tran, Trandinh, Alexy, Treluyer, Jean-Marc, Trinque, Baptiste, Truchot, Jennifer, Tubach, Florence, Tubiana, Sarah, Tunesi, Simone, Turpin, Matthieu, Turpin, Agathe, Urbina, Tomas, Narvaez, Rafael Usubillaga, Uzunhan, Yurdagul, Vaittinadaayar, Prabakar, Valent, Arnaud, Valentian, Maelle, Valin, Nadia, Vallet, Hélène, Vaz, Marina, Vazquezibarra, Miguel-Alejandro, Vedie, Benoit, Velly, Laetitia, Verstuyft, Celine, Viallette, Cedric, Vicaut, Eric, Vignes, Dorothee, Vimpere, Damien, Virlouvet, Myriam, Voiriot, Guillaume, Voisot, Lena, Weiss, Emmanuel, Weiss, Nicolas, Winchenne, Anaïs, Yordanov, Youri, Zafrani, Lara, Zaidan, Mohamad, Zaidi, Wissem, Zak, Cathia, Zarhrate-Ghoul, Aida, Zatout, Ouassila, Zeino, Suzanne, Zeitouni, Michel, Zemirli, Naïma, Zerah, Lorene, Zia, Ounsa, Ziol, Marianne, Zolario, Oceane, Zuber, Julien, Andrejak, Claire, Angoulvant, François, Bachelet, Delphine, Bartoli, Marie, Basmaci, Romain, Behillil, Sylvie, Beluze, Marine, Benkerrou, Dehbia, Bhavsar, Krishna, Bouadma, Lila, Bouchez, Sabelline, Bouscambert, Maude, Cervantes-Gonzalez, Minerva, Chair, Anissa, Chirouze, Catherine, Coelho, Alexandra, Couffin-Cadiergues, Sandrine, d’Ortenzio, Eric, Debray, Marie-Pierre, Deconinck, Laurene, Deplanque, Dominique, Descamps, Diane, Desvallée, Mathilde, Diallo, Alpha, Diouf, Alphonsine, Dorival, Céline, Dubos, François, Elharrar, Brigitte, Enouf, Vincent, Esperou, Hélène, Esposito-Farese, Marina, Etienne, Manuel, Devouge, Eglantine Ferrand, Gault, Nathalie, Gaymard, Alexandre, Ghosn, Jade, Gigante, Tristan, Gilg, Morgane, Guedj, Jérémie, Hoctin, Alexandre, Hoffmann, Isabelle, Houas, Ikram, Hulot, Jean-Sébastien, Jaafoura, Salma, Kaguelidou, Florentia, Kali, Sabrina, Khalil, Antoine, Khan, Coralie, Laouénan, Cédric, Laribi, Samira, Le, Minh, Le Hingrat, Quentin, Le Mestre, Soizic, Le Nagard, Hervé, Lescure, François-Xavier, Letrou, Sophie, Levy, Yves, Lina, Bruno, Lingas, Guillaume, Lucet, Jean-Christophe, Malvy, Denis, Mambert, Marina, Meziane, Amina, Mouquet, Hugo, Mullaert, Jimmy, Neant, Nadège, Nguyen, Duc, Noret, Marion, Nseir, Saad, Papadopoulos, Aurélie, Paul, Christelle, Peiffer-Smadja, Nathan, Perpoint, Thomas, Petrov-Sanchez, Ventzislava, Peytavin, Gilles, Pham, Huong, Picone, Olivier, Puéchal, Oriane, Rabaud, Christian, Rosa-Calatrava, Manuel, Rossignol, Bénédicte, Rossignol, Patrick, Roy, Carine, Schneider, Marion, Su, Richa, Tardivon, Coralie, Tellier, Marie-Capucine, Téoulé, François, Terrier, Olivier, Timsit, Jean-François, Tual, Christelle, Van Der Werf, Sylvie, Vanel, Noémie, Veislinger, Aurélie, Visseaux, Benoit, Wiedemann, Aurélie, Yazdanpanah, Yazdan, Alavoine, Loubna, Burdet, Charles, Charpentier, Charlotte, Dechanet, Aline, Ecobichon, Jean-Luc, Frezouls, Wahiba, Houhou, Nadhira, Lehacaut, Jonathan, Manchon, Pauline, Nouroudine, Mariama, Quintin, Caroline, Thy, Michael, van der Werf, Sylvie, Vignali, Valérie, Chahine, Abir, Waucquier, Nawal, Migaud, Maria-Claire, Djossou, Félix, Mergeay-Fabre, Mayka, Lucarelli, Aude, Demar, Magalie, Bruneau, Léa, Gérardin, Patrick, Maillot, Adrien, Payet, Christine, Laviolle, Bruno, Laine, Fabrice, Paris, Christophe, Desille-Dugast, Mireille, Fouchard, Julie, Pistone, Thierry, Perreau, Pauline, Gissot, Valérie, Goas, Carole L.E., Montagne, Samatha, Richard, Lucie, Bouiller, Kévin, Desmarets, Maxime, Meunier, Alexandre, Bourgeon, Marilou, Lefévre, Benjamin, Jeulin, Hélène, Legrand, Karine, Lomazzi, Sandra, Tardy, Bernard, Gagneux-Brunon, Amandine, Bertholon, Frédérique, Botelho-Nevers, Elisabeth, Kouakam, Christelle, Nicolas, Leturque, Roufai, Layidé, Amat, Karine, Espérou, Hélène, Hendou, Samia, Foti, Giuseppe, Citerio, Giuseppe, Contro, Ernesto, Pesci, Alberto, Valsecchi, Maria Grazia, Cazzaniga, Marina, Bellani, Giacomo, Abad, Jorge, Accordino, Giulia, Angelini, Micol, Aguilera-Albesa, Sergio, Aguiló-Cucurull, Aina, Özkan, Esra Akyüz, Darazam, Ilad Alavi, Roblero Albisures, Jonathan Antonio, Aldave, Juan C., Ramos, Miquel Alfonso, Khan, Taj Ali, Aliberti, Anna, Nadji, Seyed Alireza, Alkan, Gulsum, AlKhater, Suzan A., Allardet-Servent, Jerome, Allende, Luis M., Alonso-Arias, Rebeca, Alshahrani, Mohammed S., Alsina, Laia, Amoura, Zahir, Antolí, Arnau, Arrestier, Romain, Aubart, Mélodie, Auguet, Teresa, Avramenko, Iryna, Aytekin, Gökhan, Azot, Axelle, Bahram, Seiamak, Bajolle, Fanny, Baldanti, Fausto, Baldolli, Aurélie, Ballester, Maite, Barrou, Benoit, Barzaghi, Federica, Basso, Sabrina, Bayhan, Gulsum Iclal, Bezrodnik, Liliana, Bilbao, Agurtzane, Blanchard-Rohner, Geraldine, Blanco, Ignacio, Blandinières, Adeline, Blázquez-Gamero, Daniel, Bloomfield, Marketa, Bolivar-Prados, Mireia, Borie, Raphael, Botdhlo-Nevers, Elisabeth, Bousquet, Aurore, Boutolleau, David, Bouvattier, Claire, Boyarchuk, Oksana, Bravais, Juliette, Briones, M. Luisa, Brunner, Marie-Eve, Bruno, Raffaele, Bueno, Maria Rita P., Bukhari, Huda, Bustamante, Jacinta, Cáceres Agra, Juan José, Capra, Ruggero, Carapito, Raphael, Carrabba, Maria, Casasnovas, Carlos, Caseris, Marion, Cassaniti, Irene, Castelle, Martin, Castelli, Francesco, Castillo de Vera, Martín, Castro, Mateus V., Catherinot, Emilie, Celik, Jale Bengi, Ceschi, Alessandro, Chalumeau, Martin, Charbit, Bruno, Boulanger, Cécile, Clavé, Père, Clotet, Bonaventura, Codina, Anna, Comarmond, Cloé, Comoli, Patrizia, Corsico, Angelo G., Coşkuner, Taner, Cvetkovski, Aleksandar, Cyrus, Cyril, Dalmau, David, Danion, François, Darley, David Ross, Das, Vincent, Dauby, Nicolas, Dauger, Stéphane, De Munte, Paul, de Pontual, Loic, Dehban, Amin, Delplancq, Geoffroy, Desguerre, Isabelle, Di Sabatino, Antonio, Diehl, Jean-Luc, Dobbelaere, Stephanie, Domínguez-Garrido, Elena, Dubost, Clément, Ekwall, Olov, Bozdemir, Şefika Elmas, Elnagdy, Marwa H., Emiroglu, Melike, Endo, Akifumi, Erdeniz, Emine Hafize, Aytekin, Selma Erol, Etxart Lasa, Maria Pilar, Euvrard, Romain, Fabio, Giovanna, Faivre, Laurence, Falck, Antonin, Fartoukh, Muriel, Faure, Morgane, Arquero, Miguel Fernandez, Ferrer, Ricard, Ferreres, Jose, Francois, Bruno, Fumadó, Victoria, Fung, Kitty S.C., Fusco, Francesca, Gagro, Alenka, Solis, Blanca Garcia, Garçon, Pierre, Gaussem, Pascale, Gayretli, Zeynep, Gil-Herrera, Juana, Gilardin, Laurent, Gatineau, Audrey Giraud, Girona-Alarcón, Mònica, Cifuentes Godínez, Karen Alejandra, Goffard, Jean-Christophe, Gonzales, Nacho, Gonzalez-Granado, Luis I., González-Montelongo, Rafaela, Guerder, Antoine, Gülhan, Belgin, Gumucio, Victor Daniel, Hanitsch, Leif Gunnar, Gunst, Jan, Gut, Marta, Hadjadj, Jérôme, Hancerli, Selda, Hariyan, Tetyana, Hatipoglu, Nevin, Heppekcan, Deniz, Hernandez-Brito, Elisa, Ho, Po-ki, Holanda-Peña, María Soledad, Horcajada, Juan P., Hraiech, Sami, Humbert, Linda, Hung, Ivan F.N., Iglesias, Alejandro D., Íñigo-Campos, Antonio, Jamme, Matthieu, Arranz, María Jesús, Jimeno, Marie-Thérèse, Jordan, Iolanda, Kanık-Yüksek, Saliha, Kara, Yalcin, Karahan, Aydın, Karbuz, Adem, Yasar, Kadriye Kart, Kasapcopur, Ozgur, Kashimada, Kenichi, Keles, Sevgi, Demirkol, Yasemin Kendir, Kido, Yasutoshi, Kizil, Can, Kılıç, Ahmet Osman, Klocperk, Adam, Koutsoukou, Antonia, Król, Zbigniew J., Ksouri, Hatem, Kuentz, Paul, Kwan, Arthur M.C., Kwan, Yat Wah M., Kwok, Janette S.Y., Lagier, Jean-Christophe, Lam, David S.Y., Lampropoulou, Vicky, Le Bourgeois, Fleur, Leo, Yee-Sin, Lopez, Rafael Leon, Leung, Daniel, Levin, Michael, Levy, Michael, Lévy, Romain, Li, Zhi, Lilleri, Daniele, Adrian Bolanos Lima, Edson Jose, Linglart, Agnes, López-Collazo, Eduardo, Lorenzo-Salazar, José M., Louapre, Céline, Lubetzki, Catherine, Lung, Kwok-Cheung, Luyt, Charles-Edouard, Lye, David C., Magnone, Cinthia, Marchioni, Enrico, Marioli, Carola, Marjani, Majid, Marques, Laura, Pereira, Jesus Marquez, Martín-Nalda, Andrea, Pueyo, David Martínez, Martinez-Picado, Javier, Marzana, Iciar, Mata-Martínez, Carmen, Mathian, Alexis, Matos, Larissa R.B., Matthews, Gail V., Mayaux, Julien, McLaughlin-Garcia, Raquel, Meersseman, Philippe, Mège, Jean-Louis, Mekontso-Dessap, Armand, Melki, Isabelle, Meloni, Federica, Meritet, Jean-François, Merlani, Paolo, Akcan, Özge Metin, Mezidi, Mehdi, Migeotte, Isabelle, Millereux, Maude, Million, Matthieu, Mirault, Tristan, Mircher, Clotilde, Mirsaeidi, Mehdi, Mizoguchi, Yoko, Modi, Bhavi P., Mojoli, Francesco, Moncomble, Elsa, Melián, Abián Montesdeoca, Martinez, Antonio Morales, Morandeira, Francisco, Morange, Pierre-Emmanuel, Mordacq, Clémence, Morelle, Guillaume, Mouly, Stéphane J., Muñoz-Barrera, Adrián, Nafati, Cyril, Nagashima, Shintaro, Nakagama, Yu, Neven, Bénédicte, Neves, João Farela, Ng, Yuk-Yung, Hubert Nielly, Medina, Yeray Novoa, Cuadros, Esmeralda Nuñez, Karabela, Semsi Nur, Ocejo-Vinyals, J. Gonzalo, Oualha, Mehdi, Ouedrani, Amani, Özçelik, Tayfun, Ozkaya-Parlakay, Aslinur, Pagani, Michele, Papadaki, Maria, Parola, Philippe, Pascreau, Tiffany, Paul, Stéphane, Paz-Artal, Estela, Pedraza, Sigifredo, González Pellecer, Nancy Carolina, Pellegrini, Silvia, Pérez de Diego, Rebeca, Pérez-Fernández, Xosé Luis, Philippe, Aurélien, Philippot, Quentin, Picod, Adrien, Pineton de Chambrun, Marc, Piralla, Antonio, Planas-Serra, Laura, Ploin, Dominique, Poissy, Julien, Poncelet, Géraldine, Poulakou, Garyphallia, Pouletty, Marie S., Pourshahnazari, Persia, Qiu-Chen, Jia Li, Quentric, Paul, Rambaud, Thomas, Raoult, Didier, Raoult, Violette, Rebillat, Anne-Sophie, Redin, Claire, Resmini, Léa, Ricart, Pilar, Richard, Jean-Christophe, Rigo-Bonnin, Raúl, Rivet, Nadia, Rivière, Jacques G., Rocamora-Blanch, Gemma, Rodero, Mathieu P., Rodrigo, Carlos, Rodriguez, Luis Antonio, Rodriguez-Gallego, Carlos, Rodriguez-Palmero, Agustí, Romero, Carolina Soledad, Rothenbuhler, Anya, Roux, Damien, Rovina, Nikoletta, Rozenberg, Flore, Ruch, Yvon, Ruiz, Montse, Ruiz del Prado, Maria Yolanda, Ruiz-Rodriguez, Juan Carlos, Sabater-Riera, Joan, Saks, Kai, Salagianni, Maria, Sanchez, Oliver, Sánchez-Montalvá, Adrián, Sánchez-Ramón, Silvia, Schidlowski, Laire, Schluter, Agatha, Schmidt, Julien, Schmidt, Matthieu, Schuetz, Catharina, Schweitzer, Cyril E., Scolari, Francesco, Seijo, Luis, Seminario, Analia Gisela, Seng, Piseth, Senoglu, Sevtap, Seppänen, Mikko, Llovich, Alex Serra, Siguret, Virginie, Siouti, Eleni, Smadja, David M., Smith, Nikaia, Sobh, Ali, Solanich, Xavier, Solé-Violán, Jordi, Soler, Catherine, Sözeri, Betül, Stella, Giulia Maria, Stepanovskiy, Yuriy, Stoclin, Annabelle, Taccone, Fabio, Taupin, Jean-Luc, Tavernier, Simon J., Tello, Loreto Vidaur, Terrier, Benjamin, Thiery, Guillaume, Thorn, Karolina, Thumerelle, Caroline, Tipu, Imran, Tolstrup, Martin, Tomasoni, Gabriele, Toubiana, Julie, Alvarez, Josep Trenado, Triantafyllia, Vasiliki, Troya, Jesús, Tsang, Owen T.Y., Tserel, Liina, Tso, Eugene Y.K., Tucci, Alessandra, Tüter Öz, Şadiye Kübra, Ursini, Matilde Valeria, Utsumi, Takanori, Vabres, Pierre, Valencia-Ramos, Juan, Van Den Rym, Ana Maria, Vandernoot, Isabelle, Velez-Santamaria, Valentina, Zuniga Veliz, Silvia Patricia, Vidigal, Mateus C., Viel, Sébastien, Villain, Cédric, Vilaire-Meunier, Marie E., Villar-García, Judit, Vincent, Audrey, Van der Linden, Dimitri, Volokha, Alla, Vuotto, Fanny, Wauters, Els, Wu, Alan K.L., Wu, Tak-Chiu, Yahşi, Aysun, Yesilbas, Osman, Yildiz, Mehmet, Young, Barnaby E., Yükselmiş, Ufuk, Zecca, Marco, Zuccaro, Valentina, Van Praet, Jens, Lambrecht, Bart N., Van Braeckel, Eva, Bosteels, Cédric, Hoste, Levi, Hoste, Eric, Bauters, Fré, De Clercq, Jozefien, Heijmans, Catherine, Slabbynck, Hans, Naesens, Leslie, Florkin, Benoit, Young, Mary-Anne, Willis, Amanda, Lapuente-Suanzes, Paloma, de Andrés-Martín, Ana, Berkell, Matilda, Carelli, Valerio, Fiorentino, Alessia, Malhotra, Surbhi, Mattiaccio, Alessandro, Pippucci, Tommaso, Seri, Marco, Tacconelli, Evelina, van Agtmael, Michiel, Algera, Anne Geke, Appelman, Brent, van Baarle, Frank, Bax, Diane, Beudel, Martijn, Bogaard, Harm Jan, Bomers, Marije, Bonta, Peter, Bos, Lieuwe, Botta, Michela, de Brabander, Justin, de Bree, Godelieve, de Bruin, Sanne, Buis, David T.P., Bugiani, Marianna, Bulle, Esther, Chouchane, Osoul, Cloherty, Alex, Dijkstra, Mirjam, Dongelmans, Dave A., Dujardin, Romein W.G., Elbers, Paul, Fleuren, Lucas, Geerlings, Suzanne, Geijtenbeek, Theo, Girbes, Armand, Goorhuis, Bram, Grobusch, Martin P., Hafkamp, Florianne, Hagens, Laura, Hamann, Jorg, Harris, Vanessa, Hemke, Robert, Hermans, Sabine M., Heunks, Leo, Hollmann, Markus, Horn, Janneke, Hovius, Joppe W., de Jong, Menno D., Koning, Rutger, Lim, Endry H.T., van Mourik, Niels, Nellen, Jeaninne, Nossent, Esther J., Paulus, Frederique, Peters, Edgar, Pina-Fuentes, Dan A.I., van der Poll, Tom, Preckel, Bennedikt, Prins, Jan M., Raasveld, Jorinde, Reijnders, Tom, de Rotte, Maurits C.F. J., Schinkel, Michiel, Schultz, Marcus J., Schrauwen, Femke A.P., Schuurmans, Alex, Schuurmans, Jaap, Sigaloff, Kim, Slim, Marleen A., Smeele, Patrick, Smit, Marry, Stijnis, Cornelis S., Stilma, Willemke, Teunissen, Charlotte, Thoral, Patrick, Tsonas, Anissa M., Tuinman, Pieter R., van der Valk, Marc, Veelo, Denise P., Volleman, Carolien, de Vries, Heder, Vught, Lonneke A., van Vugt, Michèle, Wouters, Dorien, Zwinderman, A.H., Brouwer, Matthijs C., Wiersinga, W. Joost, Vlaar, Alexander P.J., Tompkins, Miranda F., Alba, Camille, Hupalo, Daniel N., Rosenberger, John, Sukumar, Gauthaman, Wilkerson, Matthew D., Zhang, Xijun, Lack, Justin, Oler, Andrew J., Dobbs, Kerry, Delmonte, Ottavia M., Danielson, Jeffrey J., Biondi, Andrea, Bettini, Laura Rachele, D’Angiò, Mariella, Beretta, Ilaria, Imberti, Luisa, Sottini, Alessandra, Quaresima, Virginia, Quiros-Roldan, Eugenia, Rossi, Camillo, Castagnoli, Riccardo, Montagna, Daniela, Licari, Amelia, Marseglia, Gian Luigi, Marchal, Astrid, Cirulli, Elizabeth T., Neveux, Iva, Bellos, Evangelos, Thwaites, Ryan S., Schiabor Barrett, Kelly M., Zhang, Yu, Nemes-Bokun, Ivana, Kalinova, Mariya, Catchpole, Andrew, Lack, Justin B., Chiu, Christopher, and Grzymski, Joseph J.

Published
2024
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63. Real-life efficacy of immunotherapy for Sézary syndrome: a multicenter observational cohort study

Author

Bozonnat, Alizée, Beylot-Barry, Marie, Dereure, Olivier, D’Incan, Michel, Quereux, Gaëlle, Guenova, Emmanuella, Perier-Muzet, Marie, Dalle, Stephane, Grange, Florent, Viguier, Manuelle-Anne, Ram-Wolff, Caroline, Feldmeyer, Laurence, Beltraminelli, Helmut, Bonnet, Nathalie, Amatore, Florent, Maubec, Eve, Franck, Nathalie, Machet, Laurent, Chasset, François, Brunet-Possenti, Florence, Bouaziz, Jean-David, Battistella, Maxime, Donzel, Marie, Pham-Ledard, Anne, Bejar, Claudia, Moins-Teisserenc, Hélène, Mourah, Samia, Saiag, Philippe, Hainaut, Ewa, Michel, Catherine, Bens, Guido, Adamski, Henri, Aubin, François, Boulinguez, Serge, Joly, Pascal, Tedbirt, Billal, Templier, Isabelle, Troin, Laura, Montaudié, Henri, Ingen-Housz-Oro, Saskia, Faiz, Sarah, Mortier, Laurent, Dobos, Gabor, Bagot, Martine, Resche-Rigon, Matthieu, Montlahuc, Claire, Serret-Larmande, Arnaud, and de Masson, Adèle

Published
2024
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64. Calidad del calostro bovino y su relación con la genética, el manejo, la fisiología y su congelación

Author

Ana Luiza B. Schogor, Patricia Glombowsky, Fabiana Both, Beatriz Danieli, Fernanda Rigon, João H. Reis, and Aleksandro S Da Silva

Subjects
Veterinary medicine, SF600-1100
Abstract

Objetivo. Evaluar si la calidad del calostro se modifica por las características genéticas, fisiológicas y de manejo en el período preparto, así como evaluar si la calidad y composición del calostro se alteran en el proceso de congelación. Material y métodos. En el experimento I, se recogieron muestras de calostro y sangre de 35 vacas (18 Holstein y 17 Jersey). En el experimento II, se recolectaron seis muestras de calostro de vacas Holstein y se congelaron durante 60 días. Resultados. La concentración media de inmunoglobulina G (IgG) fue de 77.65 mg/ml en Jersey y de 82.77 mg/ml en Holstein. La genética, el orden de parto y la interacción entre estos factores no fueron significativos en la concentración de IgG en el calostro. Además, se observó un efecto genético de la vaca en el peso en la cría al nacer y en los tres días de edad (p

Published
2024

65. Air leak test in the Paediatric Intensive Care Unit (ALTIPICU): rationale and protocol for a prospective multicentre observational study

Author

Stéphane Dauger, Michael Levy, Arielle Maroni, Jérome Naudin, Matthieu Resche-Rigon, Boris Lacarra, Aurélie Hayotte, Guillaume Geslain, and Géraldine Poncelet

Subjects
Medicine
Abstract

Introduction In children, respiratory distress due to upper airway obstruction (UAO) is a common complication of extubation. The quantitative cuff-leak test (qtCLT) is a simple, rapid and non-invasive test that has not been extensively studied in children. The objective of the ongoing study whose protocol is reported here is to investigate how well the qtCLT predicts UAO-related postextubation respiratory distress in paediatric intensive care unit (PICU) patients.Methods and analysis Air Leak Test in the Paediatric Intensive Care Unit is a multicentre, prospective, observational study that will recruit 900 patients who are aged 2 days post-term to 17 years and ventilated through a cuffed endotracheal tube for at least 24 hours in any of 19 French PICUs. Within an hour of planned extubation, the qtCLT will be performed as a sequence of six measurements of the tidal volume with the cuff inflated then deflated. The primary outcome is the occurrence within 48 hours after extubation of severe UAO defined as combining a requirement for intravenous corticosteroid therapy and/or ventilator support by high-flow nasal cannula and/or by non-invasive ventilation or repeat invasive mechanical ventilation with a Westley score ≥4 with at least one point for stridor at each initiation. The results of the study are expected to identify risk factors for UAO-related postextubation respiratory distress and extubation failure, thereby identifying patient subgroups most likely to require preventive interventions. It will also determine whether qtCLT appears to be a reliable method to predict an increased risk for postextubation adverse events as severe UAO.Ethics and dissemination The study was approved by the Robert Debré University Hospital institutional review board (IRB) on September 2021 (approval #2021578). The report of Robert Debré University Hospital IRB is valid for all sites, given the nature of the study with respect to the French law. The results will be submitted for publication in a peer-reviewed journal.Trial registration number NCT05328206.

Published
2024
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68. Laser astrophysics experiment on the amplification of magnetic fields by shock-induced interfacial instabilities

Author

Sano, Takayoshi, Tamatani, Shohei, Matsuo, Kazuki, Law, King Fai Farley, Morita, Taichi, Egashira, Shunsuke, Ota, Masato, Kumar, Rajesh, Shimogawara, Hiroshi, Hara, Yukiko, Lee, Seungho, Sakata, Shohei, Rigon, Gabriel, Michel, Thibault, Mabey, Paul, Albertazzi, Bruno, Koenig, Michel, Casner, Alexis, Shigemori, Keisuke, Fujioka, Shinsuke, Murakami, Masakatsu, and Sakawa, Youichi

Subjects
Physics - Plasma Physics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

Laser experiments are becoming established as a new tool for astronomical research that complements observations and theoretical modeling. Localized strong magnetic fields have been observed at a shock front of supernova explosions. Experimental confirmation and identification of the physical mechanism for this observation are of great importance in understanding the evolution of the interstellar medium. However, it has been challenging to treat the interaction between hydrodynamic instabilities and an ambient magnetic field in the laboratory. Here, we developed an experimental platform to examine magnetized Richtmyer-Meshkov instability (RMI). The measured growth velocity was consistent with the linear theory, and the magnetic-field amplification was correlated with RMI growth. Our experiment validated the turbulent amplification of magnetic fields associated with the shock-induced interfacial instability in astrophysical conditions for the first time. Experimental elucidation of fundamental processes in magnetized plasmas is generally essential in various situations such as fusion plasmas and planetary sciences., Comment: 17 pages, 12 figures, 3 tables, accepted for publication in PRE

Published
2021
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70. On understanding mountainous carbonate basins of the Mediterranean using parsimonious modeling solutions

Author

S. Azimi, C. Massari, G. Formetta, S. Barbetta, A. Tazioli, D. Fronzi, S. Modanesi, A. Tarpanelli, and R. Rigon

Subjects
Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350
Abstract

The study aims to demonstrate that an effective solution can be implemented for modeling complex carbonate basins, in the situation of limited data availability. Considering the alternative modeling approaches under circumstances of data shortage is more significant knowing the vulnerability and effectiveness of these kinds of basins to drought and climate change conditions. In this regard, a hybrid approach that combines time series analysis and reservoir modeling is proposed to describe behavior in carbonate basins. Time series analysis estimates the contributing area and response time of the fractured carbonate system beyond the catchment's hydrographic boundaries. The results obtained align with previous literature-based field surveys. This information is then used to develop a conceptual reservoir system using the GEOframe modeling system. The model is validated using in situ discharge observations and Earth observations (EO) data on evapotranspiration and snow. Model reliability is assessed using traditional goodness of fit indicators, hydrological signatures, and a novel statistical method based on empirical conditional probability. This approach enables detailed analysis and investigation of water budget components in Mediterranean carbonate catchments, highlighting their response to significant precipitation deficits. Overall, our results demonstrate that flows from carbonate rock areas outside the hydrographic boundaries significantly impact the water budget of the upper Nera River. The storage capacity of the carbonate basin plays a crucial role in sustaining river discharge during drought years. In a single dry year, meteorological drought is considerably attenuated, while in subsequent dry years, it is slightly intensified. Multi-year droughts result in slower recovery due to the time required for precipitation to replenish the depleted storage that supported river discharge in previous dry years. This unique behavior makes these basins particularly vulnerable to the more severe and frequent drought episodes expected under future climate change.

Published
2023
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71. Effectiveness of pneumococcal vaccination on hospitalization and death in the adult and older adult diabetic population: a systematic review

Author

Marco Del Riccio, Sara Boccalini, Claudia Cosma, Gabriele Vaccaro, Benedetta Bonito, Beatrice Zanella, Cristina Salvati, Duccio Giorgetti, Lisa Rigon, Massimiliano Alberto Biamonte, Matteo Monami, Paolo Bonanni, and Angela Bechini

Subjects
Diabetes, disease burden, elderly, immunization, mortality, PCV, Internal medicine, RC31-1245
Abstract

ABSTRACTIntroduction Diabetic patients are at a higher risk of getting pneumococcal disease and are therefore recommended to get vaccinated. The aim of our systematic review is the retrieval and analysis of all available evidence on the effect of pneumococcal vaccination on the risk of hospitalization and death in adult patients with diabetes.Research design and methods MEDLINEand EMBASE were searched from inception until January 2023. We included all studies investigating whether pneumococcal vaccination reduces the risk of dying or being hospitalized in diabetic patients. The Newcastle-Ottawa scale was used to assess risk of bias. Results Only two studies, encompassing a total of 68,246 subjects, were considered eligible for inclusion and of high quality. In both studies polysaccharide pneumococcal vaccination was associated with a reduction of the risk of hospitalization or death in adult diabetic patients (aHR: 0.76 in one study, aOR: 0.97 in the other one). However, in neither of the two included studies the lower risk was statistically significant.Conclusions Further research is needed due to the potentially major clinical implications for diabetic patients. The results of this systematic review can serve as a foundation for future studies, indicating the importance of continuing research in this area to improve patient outcomes.

Published
2023
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72. Effect of Tannin Inclusion on the Enhancement of Rumen Undegradable Protein of Different Protein Sources

Author

Kalista E. Loregian, David A. B. Pereira, Fernanda Rigon, Elaine Magnani, Marcos I. Marcondes, Eduardo A. Baumel, Renata H. Branco, Pedro Del Bianco Benedeti, and Eduardo M. Paula

Subjects
beef cattle, ruminal degradation, protein degradation, tannins, Nutrition. Foods and food supply, TX341-641
Abstract

Tannins can be utilized to increase rumen undegradable protein (RUP) by their capacity to form complexes with diverse nutrients present in the feed. In that regard, high-performance ruminants demand elevated RUP levels. The objective of this study was to evaluate the effects of incorporating varying levels of tannin into three protein sources (cottonseed, peanut, and soybean meals) on ruminal kinetic parameters, ruminal fermentation, and intestinal digestibility. Thus, three in situ experiments were conducted to investigate the ruminal degradation kinetics, where Fraction A represents the soluble portion, Fraction B relates to the portion potentially degraded in the rumen, and kd denotes the degradation rate of Fraction B, for both dry matter (DM) and crude protein (CP) in the rumen. Additionally, the study assessed dry matter effective degradability (ED), rumen undegradable protein (RUP), and intestinal digestibility (ID). These experiments utilized three cannulated animals for the in situ incubations. Regarding cottonseed meal in terms of DM degradation kinetics, tannin inclusion had a quadratic effect on fraction A (p < 0.01), B (p = 0.10, trend), kd (p = 0.03), and ED (p < 0.01). Fraction A of CP had a cubic effect (p = 0.03), being greater for the control compared with the other treatments. The inclusion of tannin linearly increased RUP (p < 0.01). The RUP proportion increased 29, 33, and 45% when 20, 40, and 60 g/kg tannin were used, respectively, compared to the control. For peanut meal, the A fraction of protein and RUP responded quadratically as tannin was included in peanut meal (p < 0.01). However, tannin levels did not affect fraction B of protein and ID. Regarding soybean meal, fractions A and B of DM and ED had cubic effects (p < 0.01), being greater for the control compared with the other treatments, and responded quadratically as tannin increased. Also, tannin inclusion had a cubic effect on fractions A and B of protein, RUP, and ID (p < 0.01). The cubic behavior showed greater B fraction and ID and lower A fraction and RUP for the control compared other treatments (p < 0.01). Tannins offer a promising avenue for elevating RUP levels in diets featuring cottonseed and peanut meals. Nevertheless, no advantages were observed when treating soybean meal with tannin.

Published
2023
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73. FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET

Author

O. Roman, E. M. Farella, S. Rigon, F. Remondino, S. Ricciuti, and D. Viesi

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

In recent years, the improvement of sensors and methodologies for 3D reality-based surveying has exponentially enhanced the possibility of creating digital replicas of the real world. LiDAR technologies and photogrammetry are currently standard approaches for collecting 3D geometric information of indoor and outdoor environments at different scales. This information can potentially be part of a broader processing workflow that, starting from 3D surveyed data and through Building Information Models (BIM) generation, leads to more complex analyses of buildings’ features and behavior (Figure 1). However, creating BIM models, especially of historic and heritage assets (HBIM), is still resource-intensive and time-consuming due to the manual efforts required for data creation and enrichment. Improve 3D data processing, interoperability, and the automation of the BIM generation process are some of the trending research topics, and benchmark datasets are extremely helpful in evaluating newly developed algorithms and methodologies for these scopes. This paper introduces the InCUBE dataset, resulting from the activities of the recently funded EU InCUBE project, focused on unlocking the EU building renovation through integrated strategies and processes for efficient built-environment management (including the use of innovative renewable energy technologies and digitalization). The set of data collects raw and processed data produced for the Italian demo site in the Santa Chiara district of Trento (Italy). The diversity of the shared data enables multiple possible uses, investigations and developments, and some of them are presented in this contribution.

Published
2023
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74. NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION

Author

Z. Yan, G. Mazzacca, S. Rigon, E. M. Farella, P. Trybala, and F. Remondino

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

Neural Radiance Field methods are innovative solutions to derive 3D data from a set of oriented images. This paper introduces new real and synthetic image datasets - called NeRFBK - specifically designed for testing and comparing NeRF-based 3D reconstruction algorithms. More and more reconstruction algorithms and techniques are available nowadays, raising the need to evaluate and compare the quality of derived 3D products currently used in various domains and applications. However, gathering diverse data with precise ground truth is challenging and may not encompass all relevant applications. The NeRFBK dataset addresses this issue by providing multi-scale, indoor and outdoor datasets with high-resolution images and videos and camera parameters for testing and comparing NeRF-based algorithms. This paper presents the design and creation of the NeRFBK set of data, various examples and application scenarios, and highlights its potential for advancing the field of 3D reconstruction.

Published
2023
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75. EFFECTS OF THE ENVIRONMENTAL MANAGEMENT SYSTEM AND TOP MANAGEMENT SUPPORT ON THE RELATIONSHIP BETWEEN ENVIRONMENTAL MANAGEMENT ACCOUNTING PRACTICES AND PERFORMANCE/Efeitos do Sistema de Gestao Ambiental e do Suporte da Alta Administracao na relacao entre Praticas de Contabilidade de Gestao Ambiental e Desempenho/Efectos del Sistema de Gestion Ambiental y el Apoyo de la Alta Direccion en la relacion entre las Practicas Contables de la Gestion Ambiental y el Desempeno

Author

Degenhart, Larissa, Zonatto, Vinicius Costa da Silva, Rigon, Leticia, and Monteiro, Adriano Silva

Published
2024
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78. Risk factors of long term symptoms and outcomes among patients discharged after covid-19: prospective, multicentre observational study.

Author

Legrand, Matthieu, Fong, Nicholas, Laouénan, Cédric, Ghosn, Jade, Thill, Benoit, Faure, Karine, Garot, Denis, Goujard, Cécile, Curlier, Elodie, Resche-Rigon, Matthieu, Rossignol, Patrick, and Pirracchio, Romain

Subjects
COVID-19, Critical care, Clinical Research, Depression, Mental Health, Cardiovascular, Behavioral and Social Science, Good Health and Well Being
Abstract

ObjectiveTo investigate risk factors and subphenotypes associated with long term symptoms and outcomes after hospital admission for covid-19.DesignProspective, multicentre observational study.Setting93 hospitals in France.ParticipantsData from 2187 adults admitted to hospital with covid-19 in France between 1 February 2020 and 30 June 2021.Main outcome measuresPrimary endpoint was the total number of persistent symptoms at six months after hospital admission that were not present before admission. Outcomes examined at six months were persistent symptoms, Hospital Anxiety and Depression Scale, six minute walk test distances, 36-Item Short Form Health Survey scores, and ability to resume previous professional activities and self-care. Secondary endpoints included vital status at six months, and results of standardised quality-of-life scores. Additionally, an unsupervised consensus clustering algorithm was used to identify subphenotypes based on the severity of hospital course received by patients.Results1109 (50.7%) of 2187 participants had at least one persistent symptom. Factors associated with an increased number of persistent symptoms were in-hospital supplemental oxygen (odds ratio 1.12, 95% confidence interval 1 to 1.24), no intensive care unit admission (1.15, 1.01 to 1.32), female sex (1.33, 1.22 to 1.45), gastrointestinal haemorrhage (1.51, 1.02 to 2.23), a thromboembolic event (1.66, 1.17 to 2.34), and congestive heart failure (1.76, 1.27 to 2.43). Three subphenotypes were identified: including patients with the least severe hospital course (based on ventilatory support requirements). Although Hospital Anxiety and Depression Scale scores were within normal values for all groups, patients of intermediate severity and more comorbidities had a higher median Hospital Anxiety and Depression Scale score than did the other subphenotypes. Patients in the subphenotype with most severe hospital course had worse short form-36 scores and were less able to resume their professional activity or care for themselves as before compared with other subphenotypes.ConclusionsPersistent symptoms after hospital admission were frequent, regardless of acute covid-19 severity. However, patients in more severe subphenotypes had a significantly worse functional status and were less likely to resume their professional activity or able to take care of themselves as before.Trial registrationNCT04262921.

Published
2022

79. Clustering with missing data: which imputation model for which cluster analysis method?

Author

Audigier, Vincent, Niang, Ndèye, and Resche-Rigon, Matthieu

Subjects
Statistics - Methodology
Abstract

Multiple imputation (MI) is a popular method for dealing with missing values. One main advantage of MI is to separate the imputation phase and the analysis one. However, both are related since they are based on distribution assumptions that have to be consistent. This point is well known as congeniality. In this paper, we discuss congeniality for clustering on continuous data. First, we theoretically highlight how two joint modeling (JM) MI methods (JM-GL and JM-DP) are congenial with various clustering methods. Then, we propose a new fully conditional specification (FCS) MI method with the same theoretical properties as JM-GL. Finally, we extend this FCS MI method to account for more complex distributions. Based on an extensive simulation study, all MI methods are compared for various cluster analysis methods (k-means, k-medoids, mixture model, hierarchical clustering). This study highlights the partition accuracy is improved when the imputation model accounts for clustered individuals. From this point of view, standard MI methods ignoring such a structure should be avoided. JM-GL and JM-DP should be recommended when data are distributed according to a gaussian mixture model, while FCS methods outperform JM ones on more complex data.

Published
2021

80. UP150 Project: A Longitudinal Analysis of Active Lifestyles in the Complex Working System

Author

Gabriele Signorini, Raffaele Scurati, Andrea Bosio, Chiara D’Angelo, Stefano Benedini, Cristina Tringali, Emanuele Magaldi, Marta Rigon, and Pietro Luigi Invernizzi

Subjects
worksite, systems thinking, corporate benefits, metabolic health, psychological health, Sports, GV557-1198.995
Abstract

Workplaces cause employees to adopt sedentary behaviors for most of their daytime, negatively impacting psychophysical health. A new office concept (UP150) was designed to reduce sedentary behaviors at work through architectural changes, proactive technologies, and wellness coaches (education to active lifestyles). The present study examined the effects of the UP150 concept, previously investigated in dedicated workspaces, with a 12-month longitudinal trial in a real worksite environment. Forty-eight desk workers comprised the experimental (EG) and control (CG) groups. All participants worked in the same working environment, having the UP150 features inserted in a usual working environment, but the CG was not allowed to interact with the UP150 specifics. During the experimental year, physical (physical activity, motor efficiency, and anthropometric features), clinical (metabolic parameters and cognitive-capacity-related parameters), and psychological (well-being and discomfort, job social and psychological perceptions, and perceived workload) features were assessed. The prolonged application of the UP150 procedure in a mixed working context for involvement in corporate policies positively affected EG workers’ physical (physical activity and motor efficiency increased, and body fat unchanged), clinical (blood glucose, insulin, and total cholesterol decreased; HDL increased), and psychological (well-being and social support raised; job demand and perceived workload lowered) parameters, confirming the previous studies.

Published
2024
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84. Big Data for Farm Machines: An Algorithm for Estimating Tractors’ Operating Costs

Author

Rossi, Pierluigi, Rigon, Gianmarco, Alemanno, Riccardo, Bianchini, Leonardo, Cecchini, Massimo, Monarca, Danilo, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Ferro, Vito, editor, Giordano, Giuseppe, editor, Orlando, Santo, editor, Vallone, Mariangela, editor, Cascone, Giovanni, editor, and Porto, Simona M. C., editor

Published
2023
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85. CANBUS Data for Site-Specific Tractor Performance Analysis and Prediction

Author

Monarca, Danilo, Alemanno, Riccardo, Rossi, Pierluigi, Rigon, Gianmarco, Bianchini, Leonardo, Cecchini, Massimo, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Ferro, Vito, editor, Giordano, Giuseppe, editor, Orlando, Santo, editor, Vallone, Mariangela, editor, Cascone, Giovanni, editor, and Porto, Simona M. C., editor

Published
2023
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86. Hazelnut Harvesting Machines: Recent Advances and New Trends

Author

Monarca, Danilo, Alemanno, Riccardo, Rigon, Gianmarco, Rossi, Pierluigi, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Ferro, Vito, editor, Giordano, Giuseppe, editor, Orlando, Santo, editor, Vallone, Mariangela, editor, Cascone, Giovanni, editor, and Porto, Simona M. C., editor

Published
2023
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88. Immunomodulators for immunocompromised patients hospitalized for COVID-19: a meta-analysis of randomized controlled trials

Author

Hermine, Olivier, Mariette, Xavier, Ravaud, Philippe, Bureau, Serge, Dougados, Maxime, Resche-Rigon, Matthieu, Tharaux, Pierre-Louis, Tibi, Annick, Azoulay, Elie, Cadranel, Jacques, Emmerich, Joseph, Fartoukh, Muriel, Guidet, Bertrand, Humbert, Marc, Lacombe, Karine, Mahevas, Matthieu, Pene, Frédéric, Porcher, Raphaël, Pourchet-Martinez, Valerie, Schlemmer, Frédéric, Yazdanpanah, Yazdan, Baron, Gabriel, Perrodeau, Elodie, Vanhoye, Damien, Kedzia, Cécile, Demerville, Lauren, Gysembergh-Houal, Anne, Bourgoin, Alexandre, Raked, Nabil, Mameri, Lakhdar, Montlahuc, Claire, Biard, Lucie, Alary, St.phanie, Hamiria, Samir, Bariz, Thinhinane, Semri, Hala, Hai, Dhiaa Meriem, Benafla, Moustafa, Belloul, Mohamed, Vauboin, Pernelle, Flamand, Saskia, Pacheco, Claire, Walter-Petrich, Anouk, Stan, Emilia, Benarab, Souad, Nyanou, Corine, Charreteur, Robin, Dupre, Céline, Cardet, Kévin, Lehmann, Blandine, Baghli, Kamyl, Madelaine, Claire, D'Ortenzio, Eric, Puéchal, Oriane, Semaille, Caroline, Savale, Laurent, Harrois, Anatole, Figueiredo, Samy, Duranteau, Jacques, Anguel, Nadia, Pavot, Arthur, Monnet, Xavier, Richard, Christian, Teboul, Jean-Louis, Durand, Philippe, Tissieres, Pierre, Jevnikar, Mitja, Montani, David, Pavy, Stephan, Nocturne, Gaétane, Bitoun, Samuel, Noel, Nicolas, Lambotte, Olivier, Escaut, Lelia, Jauréguiberry, Stephane, Baudry, Elodie, Verny, Christiane, Lefevre, Edouard, Zaidan, Mohamad, Molinari, Domitille, Leprun, Gaël, Fourreau, Alain, Cylly, Laurent, Grimaldi, Lamiae, Virlouvet, Myriam, Meftali, Ramdane, Fabre, Soléne, Licois, Marion, Mamoune, Asmaa, Boudali, Yacine, Le Tiec, Clotilde, Verstuyft, Céline, Roques, Anne-Marie, Georgin-Lavialle, Sophie, Senet, Patricia, Pialoux, Gilles, Soria, Angele, Parrot, Antoine, François, Helene, Rozensztajn, Nathalie, Blin, Emmanuelle, Choinier, Pascaline, Camuset, Juliette, Rech, Jean-Simon, Canellas, Antony, Rolland-Debord, Camille, Lemarié, Nadege, Belaube, Nicolas, Nadal, Marine, Siguier, Martin, Petit-Hoang, Camille, Chas, Julie, Drouet, Elodie, Lemoine, Matthieu, Phibel, Audrey, Aunay, Lucie, Bertrand, Eliane, Ravato, Sylviane, Vayssettes, Marie, Adda, Anne, Wilpotte, Celine, Thibaut, Pélagie, Fillon, Julie, Debrix, Isabelle, Fellahi, Soraya, Bastard, Jean-Philippe, Lefévre, Guillaume, Gottenberg, Jacques-Eric, Hansmann, Yves, Blanc, Frédéric, Ohlmann-Caillard, Sophie, Castelain, Vincent, Chatelus, Emmanuel, Chatron, Eva, Collange, Olivier, Danion, François, De Blay, Frédéric, Diemunsch, Pierre, Diemunsch, Sophie, Felten, Renaud, Goichot, Bernard, Greigert, Valentin, Guffroy, Aurelien, Heger, Bob, Kaeuffer, Charlotte, Kassegne, Loic, Korganow, Anne Sophie, Le Borgne, Pierrick, Lefebvre, Nicolas, Mertes, Paul-Michel, Noll, Eric, Oberlin, Mathieu, Poindron, Vincent, Pottecher, Julien, Ruch, Yvon, Weill, François, Meyer, Nicolas, Andres, Emmanuel, Demonsant, Eric, Tayebi, Hakim, Nisand, Gabriel, Brin, Stéphane, Sublon, Cédric, Becker, Guillaume, Hutt, Anne, Martin, Tristan, Bayer, Sophie, Metzger, Catherine, Mekinian, Arsene, Abisror, Noémie, Adedjouma, Amir, Bollens, Diane, Bonneton, Marion, Bourcicaux, Nathalie, Bourrier, Anne, Thibault Chiarabiani, Maria Chauchard, Chopin, Doroth.e, Cohen, Jonathan, Devred, Ines, Donadille, Bruno, Fain, Olivier, Hariri, Geoffrey, Jachiet, Vincent, Ingliz, Patrick, Garnier, Marc, Gatfosse, Marc, Ghrenassia, Etienne, Gobert, Delphine, Krause le Garrec, Jessica, Landman, Cecilia, Lavillegrand, Jean Remy, Lefebvre, Benedicte, Mahevas, Thibault, Mazerand, Sandie, Meynard, Jean Luc, Morgand, Marjolaine, Ouaz.ne, Zineb, Pacanowski, Jerome, Riviere, S.bastien, Seksik, Philippe, Sokol, Harry, Soliman, Heithem, Valin, Nadia, Urbina, Thomas, McAvoy, Chloé, Miranda, Maria Pereira, Aratus, Gladys, Berard, Laurence, Simon, Tabassome, Nguyen, Anne Daguenel, Girault, Elise, Mayala-Kanda, Cl.mentine, Antignac, Marie, Leplay, Céline, Arlet, Jean-Benoit, Diehl, Jean-Luc, Bellenfant, Florence, Blanchard, Anne, Buffet, Alexandre, Cholley, Bernard, Fayol, Antoine, Flamarion, Edouard, Godier, Anne, Gorget, Thomas, Hamada, Sophie-Rym, Hauw-Berlemont, Caroline, Hulot, Jean-Sébastien, Lebeaux, David, Livrozet, Marine, Michon, Adrien, Neuschwander, Arthur, Pennet, Marie-Aude, Planquette, Benjamin, Ranque, Brigitte, Sanchez, Olivier, Volle, Geoffroy, Briois, Sandrine, Cornic, Mathias, Elisee, Virginie, Denis, Jesuthasan, Djadi-Prat, Juliette, Jouany, Pauline, Junquera, Ramon, Henriques, Mickael, Kebir, Amina, Lehir, Isabelle, Meunier, Jeanne, Patin, Florence, Paquet, Val.rie, Tréhan, Anne, Vigna, Véronique, Sabatier, Brigitte, Bergerot, Damien, Jouve, Charléne, Knosp, Camille, Lenoir, Olivia, Mahtal, Nassim, Resmini, Léa, Lescure, Xavier, Ghosn, Jade, Bachelard, Antoine, Rachline, Anne, Isernia, Valentina, Bao-chau, Phung, Vallois, Dorothée, Sautereau, Aurelie, Neukrich, Catherine, Dossier, Antoine, Borie, Raphaël, Crestani, Bruno, Ducrocq, Gregory, Steg, Philippe Gabriel, Dieude, Philippe, Papo, Thomas, Marcault, Estelle, Chaudhry, Marhaba, Da Silveira, Charléne, Metois, Annabelle, Mahenni, Ismahan, Meziani, Meriam, Nilusmas, Cyndie, Le Gac, Sylvie, Ndiaye, Awa, Louni, Fran.oise, Chansombat, Malikhone, Julia, Zelie, Chalal, Solaya, Chalal, Lynda, Kramer, Laura, Le Grand, Jeniffer, Ouifiya, Kafif, Piquard, Valentine, Tubiana, Sarah, Nguyen, Yann, Honsel, Vasco, Weiss, Emmanuel, Codorniu, Anais, Zarrouk, Virginie, de Lastours, Victoire, Uzzan, Matthieu, Gamany, Naura, Claveirole, Agathe, Navid, Alexandre, Fouque, Tiffanie, Cohen, Yonathan, Lupo, Maya, Gilles, Constance, Rahli, Roza, Louis, Zeina, Boutboul, David, Galicier, Lionel, Amara, Yaël, Archer, Gabrielle, Benattia, Amira, Bergeron, Anne, Bondeelle, Louise, de Castro, Nathalie, Clément, Melissa, Darmon, Michaël, Denis, Blandine, Dupin, Clairelyne, Feredj, Elsa, Feyeux, Delphine, Joseph, Adrien, Lenglin, Etienne, Le Guen, Pierre, Liégeon, Geoffroy, Lorillon, Gwenaël, Mabrouki, Asma, Mariotte, Eric, Martin de Frémont, Grégoire, Mirouse, Adrien, Molina, Jean-Michel, Peffault de Latour, Régis, Oksenhendler, Eric, Saussereau, Julien, Tazi, Abdellatif, Tudesq, Jean-Jacques, Zafrani, Lara, Brindele, Isabelle, Bugnet, Emmanuelle, Lebras, Karine Celli, Chabert, Julien, Djaghout, Lamia, Fauvaux, Catherine, Jegu, Anne Lise, Kozakiewicz, Ewa, Meunier, Martine, Tremorin, Marie-Thérèse, Davoine, Claire, Madelaine, Isabelle, Caillat-Zucman, Sophie, Delaugerre, Constance, Morin, Florence, Sène, Damien, Burlacu, Ruxandra, Chousterman, Benjamin, Mégarbanne, Bruno, Richette, Pascal, Riveline, Jean-Pierre, Frazier, Aline, Vicaut, Eric, Berton, Laure, Hadjam, Tassadit, Vazquez-Ibarra, Miguel Alejandro, Jourdaine, Clément, Tran, Olivia, Jouis, Véronique, Jacob, Aude, Smati, Julie, Renaud, Stéphane, Pernin, Claire, Suarez, Lydia, Semerano, Luca, Abad, Sébastien, nainous, Ruben B., Bonnet, Nicolas, Comparon, Celine, Cohen, Yves, Cordel, Hugues, Dhote, Robin, Dournon, Nathalie, Duchemann, Boris, Ebstein, Nathan, Gille, Thomas, Giroux-Leprieur, Benedicte, Goupil de Bouille, Jeanne, Nunes, Hilario, Oziel, Johanna, Roulot, Dominique, Sese, Lucile, ClaireTantet, Uzunhan, Yurdagul, Bloch-Queyrat, Coralie, Levy, Vincent, Messani, Fadhila, Rahaoui, Mohammed, Petit, Myléne, Brahmi, Sabrina, Rathoin, Vanessa, Rigal, Marthe, Costedoat-Chalumeau, Nathalie, Luong, Liem Binh, Hamou, Zakaria Ait, Benghanem, Sarah, Blanche, Philippe, Carlier, Nicolas, Chaigne, Benjamin, Gauzit, Remy, Joumaa, Hassan, Jozwiak, Mathieu, Lachétre, Marie, Lafoeste, Hélène, Launay, Odie, Legendre, Paul, Marey, Jonathan, Morbieu, Caroline, Palmieri, Lola-Jade, Szwebel, Tali-Anne, Abdoul, Hendy, Bruneau, Alexandra, Beclin-Clabaux, Audrey, Larrieu, Charly, Montanari, Pierre, Dufour, Eric, Clarke, Ada, Le Bourlout, Catherine, Marin, Nathalie, Menage, Nathalie, Saleh-Mghir, Samira, Cisse, Mamadou Salif, Cheref, Kahina, Guerin, Corinne, Zerbit, Jérémie, Michel, Marc, Gallien, Sébastien, Crickx, Etienne, Le Vavasseur, Benjamin, Kempf, Emmanuelle, Jaffal, Karim, Vindrios, William, Oniszczuk, Julie, Guillaud, Constance, Lim, Pascal, Fois, Elena, Melica, Giovanna, Matignon, Marie, Jalabert, Maud, Lelièvre, Jean-Daniel, Schmitz, David, Bourhis, Marion, Belazouz, Sylia, Languille, Laetitia, Boucle, Caroline, Cita, Nelly, Didier, Agnés, Froura, Fahem, Ledudal, Katia, Sadaoui, Thiziri, Thiemele, Alaki, Le Febvre De Bailly, Delphine, Verlinde, Muriel Carvhalo, Mayaux, Julien, Cacoub, Patrice, Saadoun, David, Vautier, Mathieu, Bugaut, Héléne, Benveniste, Olivier, Allenbach, Yves, Leroux, Gaëlle, Rigolet, Aude, Guillaume-Jugnot, Perrine, Domont, Fanny, Desbois, Anne Claire, Comarmond, Chloé, Champtiaux, Nicolas, Toquet, Segolene, Ghembaza, Amine, Vieira, Matheus, Maalouf, Georgina, Boleto, Goncalo, Ferfar, Yasmina, Corvol, Jean-Christophe, Louapre, C.line, Sambin, Sara, Mariani, Louise-Laure, Karachi, Carine, Tubach, Florence, Estellat, Candice, Gimeno, Linda, Martin, Karine, Bah, Aicha, Keo, Vixra, Ouamri, Sabrine, Messaoudi, Yasmine, Yelles, Nessima, Faye, Pierre, Cavelot, Sebastien, Larcheveque, Cecile, Annonay, Laurence, Benhida, Jaouad, Zahrate-Ghoul, Aida, Hammal, Soumeya, Belilita, Ridha, Charbonnier, Fanny, Aguilar, Claire, Alby-Laurent, Fanny, Burger, Carole, Campos-Vega, Clara, Chavarot, Nathalie, Fournier, Benjamin, Rouzaud, Claire, Vimpére, Damien, Elie, Caroline, Bakouboula, Prissile, Choupeaux, Laure, Granville, Sophie, Issorat, Elodie, Broissand, Christine, Alyanakian, Marie-Alexandra, Geri, Guillaume, Derridj, Nawal, Sguiouar, Naima, Meddah, Hakim, Djadel, Mourad, Chambrin-Lauvray, Héléne, Duclos-vallée, Jean-Charles, Saliba, Faouzi, Sacleux, Sophie-Caroline, Kounis, Ilias, Tamazirt, Sonia, Rudant, Eric, Michot, Jean-Marie, Stoclin, Annabelle, Colomba, Emeline, Pommeret, Fanny, Willekens, Christophe, Da Silva, Rosa, Dejean, Valérie, Mekid, Yasmina, Ben-Mabrouk, Ines, Netzer, Florence, Pradon, Caroline, Drouard, Laurence, Camara-Clayette, Valérie, Morel, Alexandre, Garcia, Gilles, Mohebbi, Abolfazl, Berbour, Férial, Dehais, Mélanie, Pouliquen, Anne-Lise, Klasen, Alison, Soyez-Herkert, Loren, London, Jonathan, Keroumi, Younes, Guillot, Emmanuelle, Grailles, Guillaume, El amine, Younes, Defrancq, Fanny, Fodil, Hanane, Bouras, Chaouki, Dautel, Dominique, Gambier, Nicolas, Dieye, Thierno, Bienvenu, Boris, Lancon, Victor, Lecomte, Laurence, Beziriganyan, Kristina, Asselate, Belkacem, Allanic, Laure, Kiouris, Elena, Legros, Marie-Héléne, Lemagner, Christine, Martel, Pascal, Provitolo, Vincent, Ackermann, Félix, Le Marchand, Mathilde, Chan Hew Wai, Aurélie, Fremont, Dimitri, Coupez, Elisabeth, Adda, Mireille, Duée, Frédéric, Bernard, Lise, Gros, Antoine, Henry, Estelle, Courtin, Claire, Pattyn, Anne, Guinot, Pierre-Grégoire, Bardou, Marc, Maurer, Agnes, Jambon, Julie, Cransac, Amélie, Pernot, Corinne, Mourvillier, Bruno, Marquis, Eric, Benoit, Philippe, Roux, Damien, Gernez, Coralie, Yelnik, Cécile, Poissy, Julien, Nizard, Mandy, Denies, Fanette, Gros, Helene, Mourad, Jean-Jacques, Sacco, Emmanuelle, Renet, Sophie, Ader, F., Yazdanpanah, Y., Mentre, F., Peiffer-Smadja, N., Lescure, F.X., Poissy, J., Bouadma, L., Timsit, J.F., Lina, B., Morfin-Sherpa, F., Bouscambert, M., Gaymard, A., Peytavin, G., Abel, L., Guedj, J., Andrejak, C., Burdet, C., Laouenan, C., Belhadi, D., Dupont, A., Alfaiate, T., Basli, B., Chair, A., Laribi, S., Level, J., Schneider, M., Tellier, M.C., Dechanet, A., Costagliola, D., Terrier, B., Ohana, M., Couffin-Cadiergues, S., Esperou, H., Delmas, C., Saillard, J., Fougerou, C., Moinot, L., Wittkop, L., Cagnot, C., Le Mestre, S., Lebrasseur-Longuet, D., Petrov-Sanchez, V., Diallo, A., Mercier, N., Icard, V., Leveau, B., Tubiana, S., Hamze, B., Gelley, A., Noret, M., D’Ortenzio, E., Puechal, O., Semaille, C., Welte, T., Paiva, J.A., Halanova, M., Kieny, M.P., Balssa, E., Birkle, C., Gibowski, S., Landry, E., Le Goff, A., Moachon, L., Moins, C., Wadouachi, L., Paul, C., Levier, A., Bougon, D., Djossou, F., Epelboin, L., Dellamonica, J., Marquette, C.H., Robert, C., Gibot, S., Senneville, E., Jean-Michel, V., Zerbib, Y., Chirouze, C., Boyer, A., Cazanave, C., Gruson, D., Malvy, D., Andreu, P., Quenot, J.P., Terzi, N., Faure, K., Chabartier, C., Le Moing, V., Klouche, K., Ferry, T., F, Valour, Gaborit, B., Canet, E., Le Turnier, P., Boutoille, D., Bani-Sadr, F., Benezit, F., Revest, M., Cameli, C., Caro, A., Um Tegue, MJ Ngo, Le Tulzo, Y., Laviolle, B., Laine, F., Thiery, G., Meziani, F., Hansmann, Y., Oulehri, W., Tacquard, C., Vardon-Bounes, F., Riu-Poulenc, B., Murris-Espin, M., Bernard, L., Garot, D., Hinschberger, O., Martinot, M., Bruel, C., Pilmis, B., Bouchaud, O., Loubet, P., Roger, C., Monnet, X., Figueiredo, S., Godard, V., Mira, J.P., Lachatre, M., Kerneis, S., Aboab, J., Sayre, N., Crockett, F., Lebeaux, D., Buffet, A., Diehl, J.L., Fayol, A., Hulot, J.S., Livrozet, M., Dessap, A Mekontso, Ficko, C., Stefan, F., Le Pavec, J., Mayaux, J., Ait-Oufella, H., Molina, J.M., Pialoux, G., Fartoukh, M., Textoris, J., Brossard, M., Essat, A., Netzer, E., Riault, Y., Ghislain, M., Beniguel, L., Genin, M., Gouichiche, L., Betard, C., Belkhir, L., Altdorfer, A., Centro, V Fraipont, Braz, S., Ribeiro, JM Ferreira, Alburqueque, R Roncon, Berna, M., Alexandre, M., Lamprecht, B., Egle, A., Greil, R., Joannidis, M., Patterson, Thomas F., Ponce, Philip O., Taylor, Barbara S., Patterson, Jan E., Bowling, Jason E., Javeri, Heta, Kalil, Andre C., Larson, LuAnn, Hewlett, Angela, Mehta, Aneesh K., Rouphael, Nadine G., Saklawi, Youssef, Scanlon, Nicholas, Traenkner, Jessica J., Trible, Ronald P., Jr., Walter, Emmanuel B., Ivey, Noel, Holland, Thomas L., Ruiz-Palacios, Guillermo M., Ponce de León, Alfredo, Rajme, Sandra, Hsieh, Lanny, Amin, Alpesh N., Watanabe, Miki, Lee, Helen S., Kline, Susan, Billings, Joanne, Noren, Brooke, Kim, Hyun, Bold, Tyler D., Tapson, Victor, Grein, Jonathan, Sutterwala, Fayyaz, Iovine, Nicole, Beattie, Lars K., Wakeman, Rebecca Murray, Shaw, Matthew, Jain, Mamta K., Mocherla, Satish, Meisner, Jessica, Luque, Amneris, Sweeney, Daniel A., Benson, Constance A., Ali, Farhana, Atmar, Robert L., El Sahly, Hana M., Whitaker, Jennifer, Falsey, Ann R., Branche, Angela R., Rozario, Cheryl, Pineda, Justino Regalado, Martinez-Orozco, José Arturo, Lye, David Chien, Ong, Sean WX., Chia, Po Ying, Young, Barnaby E., Sandkovsky, Uriel, Berhe, Mezgebe, Haley, Clinton, Dishner, Emma, Cantos, Valeria D., Kelley, Colleen F., Rebolledo Esteinou, Paulina A., Kandiah, Sheetal, Doernberg, Sarah B., Crouch, Pierre-Cedric B., Jang, Hannah, Luetkemeyer, Anne F., Dwyer, Jay, Cohen, Stuart H., Thompson, George R., 3rd, Nguyen, Hien H., Finberg, Robert W., Wang, Jennifer P., Perez-Velazquez, Juan, Wessolossky, Mireya, Jackson, Patrick E.H., Bell, Taison D., West, Miranda J., Taiwo, Babafemi, Krueger, Karen, Perez, Johnny, Pearson, Triniece, Paules, Catharine I., Julian, Kathleen G., Ahmad, Danish, Hajduczok, Alexander G., Arguinchona, Henry, Arguinchona, Christa, Erdmann, Nathaniel, Goepfert, Paul, Ahuja, Neera, Frank, Maria G., Wyles, David, Young, Heather, Oh, Myoung-don, Park, Wan Beom, Kang, Chang Kyung, Marconi, Vincent, Moanna, Abeer, Cribbs, Sushma, Harrison, Telisha, Kim, Eu Suk, Jung, Jongtak, Song, Kyoung-Ho, Kim, Hong Bin, Tan, Seow Yen, Shafi, Humaira, Chien, Jaime, Fong, Raymond KC., Murray, Daniel D., Lundgren, Jens, Nielsen, Henrik, Jensen, Tomas, Zingman, Barry S., Grossberg, Robert, Riska, Paul F., Yang, Otto O., Ahn, Jenny, Arias, Rubi, Rapaka, Rekha R., Hauser, Naomi, Campbell, James D., Short, William R., Tebas, Pablo, Baron, Jillian T., McLellan, Susan L.F., Blanton, Lucas S., Seashore, Justin B., Creech, C. Buddy, Rice, Todd W., Walker, Shannon, Thomsen, Isaac P., Lopez de Castilla, Diego, Van Winkle, Jason W., Riedo, Francis X., Pada, Surinder Kaur, Wang, Alvin DY., Lin, Li, Harkins, Michelle, Mertz, Gregory, Sosa, Nestor, Ann Chai, Louis Yi, Tambyah, Paul Anantharajah, Tham, Sai Meng, Archuleta, Sophia, Yan, Gabriel, Lindholm, David A., Markelz, Ana Elizabeth, Mende, Katrin, Mularski, Richard, Hohmann, Elizabeth, Torres-Soto, Mariam, Jilg, Nikolaus, Maves, Ryan C., Utz, Gregory C., George, Sarah L., Hoft, Daniel F., Brien, James D., Paredes, Roger, Mateu, Lourdes, Loste, Cora, Kumar, Princy, Thornton, Sarah, Mohanraj, Sharmila, Hynes, Noreen A., Sauer, Lauren M., Colombo, Christopher J., Schofield, Christina, Colombo, Rhonda E., Chambers, Susan E., Novak, Richard M., Wendrow, Andrea, Gupta, Samir K., Lee, Tida, Lalani, Tahaniyat, Holodniy, Mark, Chary, Aarthi, Huprikar, Nikhil, Ganesan, Anuradha, Ohmagari, Norio, Mikami, Ayako, Price, D. Ashley, Duncan, Christopher J.A., Dierberg, Kerry, Neumann, Henry J., Taylor, Stephanie N., Lacour, Alisha, Masri, Najy, Swiatlo, Edwin, Widmer, Kyle, Neaton, James D., Bessesen, Mary, Stephens, David S., Burgess, Timothy H., Uyeki, Timothy M., Walker, Robert, Marks, G. Lynn, Osinusi, Anu, Cao, Huyen, Cardoso, Anabela, de Bono, Stephanie, Schlichting, Douglas E., Chung, Kevin K., Ferreira, Jennifer L., Green, Michelle, Makowski, Mat, Wierzbicki, Michael R., Conrad, Tom M., El-Khorazaty, Jill Ann, Hill, Heather, Bonnett, Tyler, Gettinger, Nikki, Engel, Theresa, Lewis, Teri, Wang, Jing, Beigel, John H., Tomashek, Kay M., Ghazaryan, Varduhi, Beresnev, Tatiana, Nayak, Seema, Dodd, Lori E., Dempsey, Walla, Nomicos, Effie, Lee, Marina, Pikaart-Tautges, Rhonda, Elsafy, Mohamed, Jurao, Robert, Koo, Hyung, Proschan, Michael, Yokum, Tammy, Arega, Janice, Florese, Ruth, Voell, Jocelyn D., Davey, Richard, Serrano, Ruth C., Wiley, Zanthia, Phadke, Varun K., Goepfert, Paul A., Gomez, Carlos A., Sofarelli, Theresa A., Certain, Laura, Imlay, Hannah N., Wolfe, Cameron R., Ko, Emily R., Engemann, John J., Felix, Nora Bautista, Wan, Claire R., Elmor, Sammy T., Bristow, Laurel R., Harkins, Michelle S., Iovine, Nicole M., Elie-Turenne, Marie-Carmelle, Tapson, Victor F., Choe, Pyoeng Gyun, Mularski, Richard A., Rhie, Kevin S., Hussein, Rezhan H., Ince, Dilek, Winokur, Patricia L., Takasaki, Jin, Saito, Sho, McConnell, Kimberly, Wyles, David L., Sarcone, Ellen, Grimes, Kevin A., Perez, Katherine, Janak, Charles, Whitaker, Jennifer A., Rebolledo, Paulina A., Gharbin, John, Lambert, Allison A., Zea, Diego F., Bainbridge, Emma, Hostler, David C., Hostler, Jordanna M., Shahan, Brian T., Ling, Evelyn, Go, Minjoung, Hubbard, Fleesie A., Chakrabarty, Melony, Laguio-Vila, Maryrose, Walsh, Edward E., Guirgis, Faheem, Marconi, Vincent C., Madar, Christian, Borgetti, Scott A., Levine, Corri, Nock, Joy, Candiotti, Keith, Rozman, Julia, Dangond, Fernando, Hyvert, Yann, Seitzinger, Andrea, Cross, Kaitlyn, Pettibone, Stephanie, Nayak, Seema U., Deye, Gregory A., Siempos, Ilias I., Belhadi, Drifa, Veiga, Viviane Cordeiro, Cavalcanti, Alexandre Biasi, Branch-Elliman, Westyn, Papoutsi, Eleni, Gkirgkiris, Konstantinos, Xixi, Nikoleta A., and Kotanidou, Anastasia

Published
2024
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93. Truncating variants in the penultimate exon of TGFBR1 escaping nonsense-mediated mRNA decay cause Loeys-Dietz syndrome

Author

Fortugno, Paola, Monetta, Rosanna, Cinquina, Valeria, Rigon, Chiara, Boaretto, Francesca, De Luca, Chiara, Zoppi, Nicoletta, Di Leandro, Luana, De Domenico, Emanuela, Di Daniele, Arianna, Ippoliti, Rodolfo, Angelucci, Francesco, Di Cesare, Ernesto, De Paulis, Ruggero, Salviati, Leonardo, Colombi, Marina, Brancati, Francesco, and Ritelli, Marco

Published
2023
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94. Prevention of cardiac surgery-associated acute kidney injury: a systematic review and meta-analysis of non-pharmacological interventions

Author

Geoffroy Hariri, Lucie Collet, Lucie Duarte, Guillaume L. Martin, Matthieu Resche-Rigon, Guillaume Lebreton, Adrien Bouglé, and Agnès Dechartres

Subjects
Cardiac surgery, Acute kidney injury, Non-pharmacological interventions, Prevention, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

Abstract Background Cardiac surgery-associated acute kidney injury (CSA-AKI) is frequent. While two network meta-analyses assessed the impact of pharmacological interventions to prevent CSA-AKI, none focused on non-pharmacological interventions. We aim to assess the effectiveness of non-pharmacological interventions to reduce the incidence of CSA-AKI. Methods We searched PubMed, Embase, Central and clinical trial registries from January 1, 2004 (first consensus definition of AKI) to July 1, 2023. Additionally, we conducted manual screening of abstracts of major anesthesia and intensive care conferences over the last 5 years and reference lists of relevant studies. We selected all randomized controlled trials (RCTs) assessing a non-pharmacological intervention to reduce the incidence of CSA-AKI, without language restriction. We excluded RCTs of heart transplantation or involving a pediatric population. The primary outcome variable was CSA-AKI. Two reviewers independently identified trials, extracted data and assessed risk of bias. Random-effects meta-analyses were conducted to calculate risk ratios (RRs) with 95% confidence intervals (CIs). We used the Grading of Recommendations Assessment, Development, and Evaluation to assess the quality of evidence. Results We included 86 trials (25,855 patients) evaluating 10 non-pharmacological interventions to reduce the incidence of CSA-AKI. No intervention had high-quality evidence to reduce CSA-AKI. Two interventions were associated with a significant reduction in CSA-AKI incidence, with moderate quality of evidence: goal-directed perfusion (RR, 0.55 [95% CI 0.40–0.76], I 2 = 0%; P het = 0.44) and remote ischemic preconditioning (RR, 0.86 [0.78–0.95]; I 2 = 23%; P het = 0.07). Pulsatile flow during cardiopulmonary bypass was associated with a significant reduction in CSA-AKI incidence but with very low quality of evidence (RR = 0.69 [0.48; 0.99]; I 2 = 53%; P het

Published
2023
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95. Vaccination as a social practice: towards a definition of personal, community, population, and organizational vaccine literacy

Author

Chiara Lorini, Marco Del Riccio, Patrizio Zanobini, Roberto Luigi Biasio, Paolo Bonanni, Duccio Giorgetti, Valerio Allodola Ferro, Andrea Guazzini, Olfa Maghrebi, Vieri Lastrucci, Lisa Rigon, Orkan Okan, Kristine Sørensen, and Guglielmo Bonaccorsi

Subjects
Vaccine literacy, Vaccine hesitancy, Organization, Health literacy, Public aspects of medicine, RA1-1270
Abstract

Abstract Background A comprehensive and agreed-upon definition of vaccine literacy (VL) could support the understanding of vaccination and help policy-makers and individuals make informed decisions about vaccines. Methods To shed some light on this debate and provide clarity, a scoping review was conducted to collect, summarize, and analyse available definitions of VL. Based on the findings of the scoping review, a new and comprehensive definition was proposed by a panel of experts. Results Fifty-three articles were included, and two of them appeared to be the milestones around which the other definitions were grouped. The new definition proposed by the panel of experts included not only the personal perspective, but also the community, population, and organizational perspectives. Moreover, due to the increasing complexity of the social context with respect to the ability to navigate, understand, and use information and services, the definition of organizational vaccine literacy and the attributes of a vaccine literate healthcare organization have been proposed. Conclusion The new definition can contribute to the overall paradigm of health literacy and its distinct component of vaccine literacy, possibly improving the implementation of public health strategies to allow vaccination to be understood as a social practice by the entire community. This study describes the conceptual foundations, the competencies, and the civic orientation to be considered when developing measurement tools devoted to assessing VL at the different levels and in different contexts.

Published
2023
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96. ANGIOSSARCOMA CARDÍACO: O DIAGNÓSTICO DESAFIADOR DE UM TUMOR RARO

Author

GRASSELLI OMIZZOLO, VINÍCIUS, primary, MARQUEZAN DE OLIVEIRA, RONEI, additional, BREITENBACH DINIZ, JÚLIA, additional, PERNONCINI LAGO, JÚLIA, additional, SCHELEDER, EDUARDA, additional, BERNIERI LIZOTT, HELENA, additional, CATHARINA PEDROLO HENICKA, JÚLIA, additional, KREFTA ZANIN, JULIA, additional, SCALCO MARCOLINA, JULIA, additional, TAÍS ZORZO, LARISSA, additional, RIGON RINALDI, LAURA, additional, SOLDATELLI TREVISAN, LUIZA, additional, SOUZA, LUIZA, additional, TAINÁ KAYSER, MARIANA, additional, and HENRIQUE GRIGOLO NECKEL, PEDRO, additional

Published
2023
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98. Immunomodulators for immunocompromised patients hospitalized for COVID-19: a meta-analysis of randomized controlled trialsResearch in context

Author

Ilias I. Siempos, Andre C. Kalil, Drifa Belhadi, Viviane Cordeiro Veiga, Alexandre Biasi Cavalcanti, Westyn Branch-Elliman, Eleni Papoutsi, Konstantinos Gkirgkiris, Nikoleta A. Xixi, Anastasia Kotanidou, Olivier Hermine, Raphaël Porcher, Xavier Mariette, Philippe Ravaud, Serge Bureau, Maxime Dougados, Matthieu Resche-Rigon, Pierre-Louis Tharaux, Annick Tibi, Elie Azoulay, Jacques Cadranel, Joseph Emmerich, Muriel Fartoukh, Bertrand Guidet, Marc Humbert, Karine Lacombe, Matthieu Mahevas, Frédéric Pene, Valerie Pourchet-Martinez, Frédéric Schlemmer, Yazdan Yazdanpanah, Gabriel Baron, Elodie Perrodeau, Damien Vanhoye, Cécile Kedzia, Lauren Demerville, Anne Gysembergh-Houal, Alexandre Bourgoin, Nabil Raked, Lakhdar Mameri, Claire Montlahuc, Lucie Biard, St.phanie Alary, Samir Hamiria, Thinhinane Bariz, Hala Semri, Dhiaa Meriem Hai, Moustafa Benafla, Mohamed Belloul, Pernelle Vauboin, Saskia Flamand, Claire Pacheco, Anouk Walter-Petrich, Emilia Stan, Souad Benarab, Corine Nyanou, Robin Charreteur, Céline Dupre, Kévin Cardet, Blandine Lehmann, Kamyl Baghli, Claire Madelaine, Eric D'Ortenzio, Oriane Puéchal, Caroline Semaille, Laurent Savale, Anatole Harrois, Samy Figueiredo, Jacques Duranteau, Nadia Anguel, Arthur Pavot, Xavier Monnet, Christian Richard, Jean-Louis Teboul, Philippe Durand, Pierre Tissieres, Mitja Jevnikar, David Montani, Stephan Pavy, Gaétane Nocturne, Samuel Bitoun, Nicolas Noel, Olivier Lambotte, Lelia Escaut, Stephane Jauréguiberry, Elodie Baudry, Christiane Verny, Edouard Lefevre, Mohamad Zaidan, Domitille Molinari, Gaël Leprun, Alain Fourreau, Laurent Cylly, Lamiae Grimaldi, Myriam Virlouvet, Ramdane Meftali, Soléne Fabre, Marion Licois, Asmaa Mamoune, Yacine Boudali, Clotilde Le Tiec, Céline Verstuyft, Anne-Marie Roques, Sophie Georgin-Lavialle, Patricia Senet, Gilles Pialoux, Angele Soria, Antoine Parrot, Helene François, Nathalie Rozensztajn, Emmanuelle Blin, Pascaline Choinier, Juliette Camuset, Jean-Simon Rech, Antony Canellas, Camille Rolland-Debord, Nadege Lemarié, Nicolas Belaube, Marine Nadal, Martin Siguier, Camille Petit-Hoang, Julie Chas, Elodie Drouet, Matthieu Lemoine, Audrey Phibel, Lucie Aunay, Eliane Bertrand, Sylviane Ravato, Marie Vayssettes, Anne Adda, Celine Wilpotte, Pélagie Thibaut, Julie Fillon, Isabelle Debrix, Soraya Fellahi, Jean-Philippe Bastard, Guillaume Lefévre, Jacques-Eric Gottenberg, Yves Hansmann, Frédéric Blanc, Sophie Ohlmann-Caillard, Vincent Castelain, Emmanuel Chatelus, Eva Chatron, Olivier Collange, François Danion, Frédéric De Blay, Pierre Diemunsch, Sophie Diemunsch, Renaud Felten, Bernard Goichot, Valentin Greigert, Aurelien Guffroy, Bob Heger, Charlotte Kaeuffer, Loic Kassegne, Anne Sophie Korganow, Pierrick Le Borgne, Nicolas Lefebvre, Paul-Michel Mertes, Eric Noll, Mathieu Oberlin, Vincent Poindron, Julien Pottecher, Yvon Ruch, François Weill, Nicolas Meyer, Emmanuel Andres, Eric Demonsant, Hakim Tayebi, Gabriel Nisand, Stéphane Brin, Cédric Sublon, Guillaume Becker, Anne Hutt, Tristan Martin, Sophie Bayer, Catherine Metzger, Arsene Mekinian, Noémie Abisror, Amir Adedjouma, Diane Bollens, Marion Bonneton, Nathalie Bourcicaux, Anne Bourrier, Maria Chauchard Thibault Chiarabiani, Doroth.e Chopin, Jonathan Cohen, Ines Devred, Bruno Donadille, Olivier Fain, Geoffrey Hariri, Vincent Jachiet, Patrick Ingliz, Marc Garnier, Marc Gatfosse, Etienne Ghrenassia, Delphine Gobert, Jessica Krause le Garrec, Cecilia Landman, Jean Remy Lavillegrand, Benedicte Lefebvre, Thibault Mahevas, Sandie Mazerand, Jean Luc Meynard, Marjolaine Morgand, Zineb Ouaz.ne, Jerome Pacanowski, S.bastien Riviere, Philippe Seksik, Harry Sokol, Heithem Soliman, Nadia Valin, Thomas Urbina, Chloé McAvoy, Maria Pereira Miranda, Gladys Aratus, Laurence Berard, Tabassome Simon, Anne Daguenel Nguyen, Elise Girault, Cl.mentine Mayala-Kanda, Marie Antignac, Céline Leplay, Jean-Benoit Arlet, Jean-Luc Diehl, Florence Bellenfant, Anne Blanchard, Alexandre Buffet, Bernard Cholley, Antoine Fayol, Edouard Flamarion, Anne Godier, Thomas Gorget, Sophie-Rym Hamada, Caroline Hauw-Berlemont, Jean-Sébastien Hulot, David Lebeaux, Marine Livrozet, Adrien Michon, Arthur Neuschwander, Marie-Aude Pennet, Benjamin Planquette, Brigitte Ranque, Olivier Sanchez, Geoffroy Volle, Sandrine Briois, Mathias Cornic, Virginie Elisee, Jesuthasan Denis, Juliette Djadi-Prat, Pauline Jouany, Ramon Junquera, Mickael Henriques, Amina Kebir, Isabelle Lehir, Jeanne Meunier, Florence Patin, Val.rie Paquet, Anne Tréhan, Véronique Vigna, Brigitte Sabatier, Damien Bergerot, Charléne Jouve, Camille Knosp, Olivia Lenoir, Nassim Mahtal, Léa Resmini, Xavier Lescure, Jade Ghosn, Antoine Bachelard, Anne Rachline, Valentina Isernia, Bao-chau, Phung, Dorothée Vallois, Aurelie Sautereau, Catherine Neukrich, Antoine Dossier, Raphaël Borie, Bruno Crestani, Gregory Ducrocq, Philippe Gabriel Steg, Philippe Dieude, Thomas Papo, Estelle Marcault, Marhaba Chaudhry, Charléne Da Silveira, Annabelle Metois, Ismahan Mahenni, Meriam Meziani, Cyndie Nilusmas, Sylvie Le Gac, Awa Ndiaye, Fran.oise Louni, Malikhone Chansombat, Zelie Julia, Solaya Chalal, Lynda Chalal, Laura Kramer, Jeniffer Le Grand, Kafif Ouifiya, Valentine Piquard, Sarah Tubiana, Yann Nguyen, Vasco Honsel, Emmanuel Weiss, Anais Codorniu, Virginie Zarrouk, Victoire de Lastours, Matthieu Uzzan, Naura Gamany, Agathe Claveirole, Alexandre Navid, Tiffanie Fouque, Yonathan Cohen, Maya Lupo, Constance Gilles, Roza Rahli, Zeina Louis, David Boutboul, Lionel Galicier, Yaël Amara, Gabrielle Archer, Amira Benattia, Anne Bergeron, Louise Bondeelle, Nathalie de Castro, Melissa Clément, Michaël Darmon, Blandine Denis, Clairelyne Dupin, Elsa Feredj, Delphine Feyeux, Adrien Joseph, Etienne Lenglin, Pierre Le Guen, Geoffroy Liégeon, Gwenaël Lorillon, Asma Mabrouki, Eric Mariotte, Grégoire Martin de Frémont, Adrien Mirouse, Jean-Michel Molina, Régis Peffault de Latour, Eric Oksenhendler, Julien Saussereau, Abdellatif Tazi, Jean-Jacques Tudesq, Lara Zafrani, Isabelle Brindele, Emmanuelle Bugnet, Karine Celli Lebras, Julien Chabert, Lamia Djaghout, Catherine Fauvaux, Anne Lise Jegu, Ewa Kozakiewicz, Martine Meunier, Marie-Thérèse Tremorin, Claire Davoine, Isabelle Madelaine, Sophie Caillat-Zucman, Constance Delaugerre, Florence Morin, Damien Sène, Ruxandra Burlacu, Benjamin Chousterman, Bruno Mégarbanne, Pascal Richette, Jean-Pierre Riveline, Aline Frazier, Eric Vicaut, Laure Berton, Tassadit Hadjam, Miguel Alejandro Vazquez-Ibarra, Clément Jourdaine, Olivia Tran, Véronique Jouis, Aude Jacob, Julie Smati, Stéphane Renaud, Claire Pernin, Lydia Suarez, Luca Semerano, Sébastien Abad, Ruben B. nainous, Nicolas Bonnet, Celine Comparon, Yves Cohen, Hugues Cordel, Robin Dhote, Nathalie Dournon, Boris Duchemann, Nathan Ebstein, Thomas Gille, Benedicte Giroux-Leprieur, Jeanne Goupil de Bouille, Hilario Nunes, Johanna Oziel, Dominique Roulot, Lucile Sese, ClaireTantet, Yurdagul Uzunhan, Coralie Bloch-Queyrat, Vincent Levy, Fadhila Messani, Mohammed Rahaoui, Myléne Petit, Sabrina Brahmi, Vanessa Rathoin, Marthe Rigal, Nathalie Costedoat-Chalumeau, Liem Binh Luong, Zakaria Ait Hamou, Sarah Benghanem, Philippe Blanche, 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Mathieu Vautier, Héléne Bugaut, Olivier Benveniste, Yves Allenbach, Gaëlle Leroux, Aude Rigolet, Perrine Guillaume-Jugnot, Fanny Domont, Anne Claire Desbois, Chloé Comarmond, Nicolas Champtiaux, Segolene Toquet, Amine Ghembaza, Matheus Vieira, Georgina Maalouf, Goncalo Boleto, Yasmina Ferfar, Jean-Christophe Corvol, C.line Louapre, Sara Sambin, Louise-Laure Mariani, Carine Karachi, Florence Tubach, Candice Estellat, Linda Gimeno, Karine Martin, Aicha Bah, Vixra Keo, Sabrine Ouamri, Yasmine Messaoudi, Nessima Yelles, Pierre Faye, Sebastien Cavelot, Cecile Larcheveque, Laurence Annonay, Jaouad Benhida, Aida Zahrate-Ghoul, Soumeya Hammal, Ridha Belilita, Fanny Charbonnier, Claire Aguilar, Fanny Alby-Laurent, Carole Burger, Clara Campos-Vega, Nathalie Chavarot, Benjamin Fournier, Claire Rouzaud, Damien Vimpére, Caroline Elie, Prissile Bakouboula, Laure Choupeaux, Sophie Granville, Elodie Issorat, Christine Broissand, Marie-Alexandra Alyanakian, Guillaume Geri, Nawal Derridj, Naima 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Fremont, Elisabeth Coupez, Mireille Adda, Frédéric Duée, Lise Bernard, Antoine Gros, Estelle Henry, Claire Courtin, Anne Pattyn, Pierre-Grégoire Guinot, Marc Bardou, Agnes Maurer, Julie Jambon, Amélie Cransac, Corinne Pernot, Bruno Mourvillier, Eric Marquis, Philippe Benoit, Damien Roux, Coralie Gernez, Cécile Yelnik, Julien Poissy, Mandy Nizard, Fanette Denies, Helene Gros, Jean-Jacques Mourad, Emmanuelle Sacco, Sophie Renet, F. 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Cazanave, D. Gruson, D. Malvy, P. Andreu, J.P. Quenot, N. Terzi, K. Faure, C. Chabartier, V. Le Moing, K. Klouche, T. Ferry, F, Valour, B. Gaborit, E. Canet, P. Le Turnier, D. Boutoille, F. Bani-Sadr, F. Benezit, M. Revest, C. Cameli, A. Caro, MJ Ngo Um Tegue, Y. Le Tulzo, B. Laviolle, F. Laine, G. Thiery, F. Meziani, Y. Hansmann, W. Oulehri, C. Tacquard, F. Vardon-Bounes, B. Riu-Poulenc, M. Murris-Espin, L. Bernard, D. Garot, O. Hinschberger, M. Martinot, C. Bruel, B. Pilmis, O. Bouchaud, P. Loubet, C. Roger, X. Monnet, S. Figueiredo, V. Godard, J.P. Mira, M. Lachatre, S. Kerneis, J. Aboab, N. Sayre, F. Crockett, D. Lebeaux, A. Buffet, J.L. Diehl, A. Fayol, J.S. Hulot, M. Livrozet, A Mekontso- Dessap, C. Ficko, F. Stefan, J. Le Pavec, J. Mayaux, H. Ait-Oufella, J.M. Molina, G. Pialoux, M. Fartoukh, J. Textoris, M. Brossard, A. Essat, E. Netzer, Y. Riault, M. Ghislain, L. Beniguel, M. Genin, L. Gouichiche, C. Betard, L. Belkhir, A. Altdorfer, V Fraipont Centro, S. Braz, JM Ferreira Ribeiro, R Roncon Alburqueque, M. Berna, M. Alexandre, B. Lamprecht, A. Egle, R. Greil, M. Joannidis, Thomas F. Patterson, Philip O. Ponce, Barbara S. Taylor, Jan E. Patterson, Jason E. Bowling, Heta Javeri, LuAnn Larson, Angela Hewlett, Aneesh K. Mehta, Nadine G. Rouphael, Youssef Saklawi, Nicholas Scanlon, Jessica J. Traenkner, Ronald P. Trible, Jr., Emmanuel B. Walter, Noel Ivey, Thomas L. Holland, Guillermo M. Ruiz-Palacios, Alfredo Ponce de León, Sandra Rajme, Lanny Hsieh, Alpesh N. Amin, Miki Watanabe, Helen S. Lee, Susan Kline, Joanne Billings, Brooke Noren, Hyun Kim, Tyler D. Bold, Victor Tapson, Jonathan Grein, Fayyaz Sutterwala, Nicole Iovine, Lars K. Beattie, Rebecca Murray Wakeman, Matthew Shaw, Mamta K. Jain, Satish Mocherla, Jessica Meisner, Amneris Luque, Daniel A. Sweeney, Constance A. Benson, Farhana Ali, Robert L. Atmar, Hana M. El Sahly, Jennifer Whitaker, Ann R. Falsey, Angela R. Branche, Cheryl Rozario, Justino Regalado Pineda, José Arturo Martinez-Orozco, David Chien Lye, Sean WX. Ong, Po Ying Chia, Barnaby E. Young, Uriel Sandkovsky, Mezgebe Berhe, Clinton Haley, Emma Dishner, Valeria D. Cantos, Colleen F. Kelley, Paulina A. Rebolledo Esteinou, Sheetal Kandiah, Sarah B. Doernberg, Pierre-Cedric B. Crouch, Hannah Jang, Anne F. Luetkemeyer, Jay Dwyer, Stuart H. Cohen, George R. Thompson, 3rd, Hien H. Nguyen, Robert W. Finberg, Jennifer P. Wang, Juan Perez-Velazquez, Mireya Wessolossky, Patrick E.H. Jackson, Taison D. Bell, Miranda J. West, Babafemi Taiwo, Karen Krueger, Johnny Perez, Triniece Pearson, Catharine I. Paules, Kathleen G. Julian, Danish Ahmad, Alexander G. Hajduczok, Henry Arguinchona, Christa Arguinchona, Nathaniel Erdmann, Paul Goepfert, Neera Ahuja, Maria G. Frank, David Wyles, Heather Young, Myoung-don Oh, Wan Beom Park, Chang Kyung Kang, Vincent Marconi, Abeer Moanna, Sushma Cribbs, Telisha Harrison, Eu Suk Kim, Jongtak Jung, Kyoung-Ho Song, Hong Bin Kim, Seow Yen Tan, Humaira Shafi, MF Jaime Chien, Raymond KC. Fong, Daniel D. Murray, Jens Lundgren, Henrik Nielsen, Tomas Jensen, Barry S. Zingman, Robert Grossberg, Paul F. Riska, Otto O. Yang, Jenny Ahn, Rubi Arias, Rekha R. Rapaka, Naomi Hauser, James D. Campbell, William R. Short, Pablo Tebas, Jillian T. Baron, Susan L.F. McLellan, Lucas S. Blanton, Justin B. Seashore, C. Buddy Creech, Todd W. Rice, Shannon Walker, Isaac P. Thomsen, Diego Lopez de Castilla, Jason W. Van Winkle, Francis X. Riedo, Surinder Kaur Pada, Alvin DY. Wang, Li Lin, Michelle Harkins, Gregory Mertz, Nestor Sosa, Louis Yi Ann Chai, Paul Anantharajah Tambyah, Sai Meng Tham, Sophia Archuleta, Gabriel Yan, David A. Lindholm, Ana Elizabeth Markelz, Katrin Mende, Richard Mularski, Elizabeth Hohmann, Mariam Torres-Soto, Nikolaus Jilg, Ryan C. Maves, Gregory C. Utz, Sarah L. George, Daniel F. Hoft, James D. Brien, Roger Paredes, Lourdes Mateu, Cora Loste, Princy Kumar, Sarah Thornton, Sharmila Mohanraj, Noreen A. Hynes, Lauren M. Sauer, Christopher J. Colombo, Christina Schofield, Rhonda E. Colombo, Susan E. Chambers, Richard M. Novak, Andrea Wendrow, Samir K. Gupta, Tida Lee, Tahaniyat Lalani, Mark Holodniy, Aarthi Chary, Nikhil Huprikar, Anuradha Ganesan, Norio Ohmagari, Ayako Mikami, D. Ashley Price, Christopher J.A. Duncan, Kerry Dierberg, Henry J. Neumann, Stephanie N. Taylor, Alisha Lacour, Najy Masri, Edwin Swiatlo, Kyle Widmer, James D. Neaton, Mary Bessesen, David S. Stephens, Timothy H. Burgess, Timothy M. Uyeki, Robert Walker, G. Lynn Marks, Anu Osinusi, Huyen Cao, Anabela Cardoso, Stephanie de Bono, Douglas E. Schlichting, Kevin K. Chung, Jennifer L. Ferreira, Michelle Green, Mat Makowski, Michael R. Wierzbicki, Tom M. Conrad, Jill Ann El-Khorazaty, Heather Hill, Tyler Bonnett, Nikki Gettinger, Theresa Engel, Teri Lewis, Jing Wang, John H. Beigel, Kay M. Tomashek, Varduhi Ghazaryan, Tatiana Beresnev, Seema Nayak, Lori E. Dodd, Walla Dempsey, Effie Nomicos, Marina Lee, Rhonda Pikaart-Tautges, Mohamed Elsafy, Robert Jurao, Hyung Koo, Michael Proschan, Tammy Yokum, Janice Arega, Ruth Florese, Jocelyn D. Voell, Richard Davey, Ruth C. Serrano, Zanthia Wiley, Varun K. Phadke, Paul A. Goepfert, Carlos A. Gomez, Theresa A. Sofarelli, Laura Certain, Hannah N. Imlay, Cameron R. Wolfe, Emily R. Ko, John J. Engemann, Nora Bautista Felix, Claire R. Wan, Sammy T. Elmor, Laurel R. Bristow, Michelle S. Harkins, Nicole M. Iovine, Marie-Carmelle Elie-Turenne, Victor F. Tapson, Pyoeng Gyun Choe, Richard A. Mularski, Kevin S. Rhie, Rezhan H. Hussein, Dilek Ince, Patricia L. Winokur, Jin Takasaki, Sho Saito, Kimberly McConnell, PharmD, David L. Wyles, Ellen Sarcone, Kevin A. Grimes, Katherine Perez, Charles Janak, Jennifer A. Whitaker, Paulina A. Rebolledo, John Gharbin, Allison A. Lambert, Diego F. Zea, Emma Bainbridge, David C. Hostler, Jordanna M. Hostler, Brian T. Shahan, Evelyn Ling, Minjoung Go, Fleesie A. Hubbard, Melony Chakrabarty, Maryrose Laguio-Vila, Edward E. Walsh, Faheem Guirgis, Vincent C. Marconi, Christian Madar, Scott A. Borgetti, Corri Levine, Joy Nock, Keith Candiotti, Julia Rozman, Fernando Dangond, Yann Hyvert, Andrea Seitzinger, Kaitlyn Cross, Stephanie Pettibone, Seema U. Nayak, and Gregory A. Deye

Subjects
Acute respiratory distress syndrome, Acute hypoxemic respiratory failure, Pneumonia, Critically ill, Cancer, Medicine (General), R5-920
Abstract

Summary: Background: Although immunomodulators have established benefit against the new coronavirus disease (COVID-19) in general, it is uncertain whether such agents improve outcomes without increasing the risk of secondary infections in the specific subgroup of previously immunocompromised patients. We assessed the effect of immunomodulators on outcomes of immunocompromised patients hospitalized for COVID-19. Methods: The protocol was prospectively registered with PROSPERO (CRD42022335397). MEDLINE, Cochrane Central Register of Controlled Trials and references of relevant articles were searched up to 01-06-2022. Authors of potentially eligible randomized controlled trials were contacted to provide data on immunocompromised patients randomized to immunomodulators vs control (i.e., placebo or standard-of-care). Findings: Eleven randomized controlled trials involving 397 immunocompromised patients hospitalized for COVID-19 were included. Ten trials had low risk of bias. There was no difference between immunocompromised patients randomized to immunomodulators vs control regarding mortality [30/182 (16.5%) vs 41/215 (19.1%); RR 0.93, 95% CI 0.61–1.41; p = 0.74], secondary infections (RR 1.00, 95% CI 0.64–1.58; p = 0.99) and change in World Health Organization ordinal scale from baseline to day 15 (weighed mean difference 0.27, 95% CI -0.09–0.63; p = 0.15). In subgroup analyses including only patients with hematologic malignancy, only trials with low risk of bias, only trials administering IL-6 inhibitors, or only trials administering immunosuppressants, there was no difference between comparators regarding mortality. Interpretation: Immunomodulators, compared to control, were not associated with harmful or beneficial outcomes, including mortality, secondary infections, and change in ordinal scale, when administered to immunocompromised patients hospitalized for COVID-19. Funding: Hellenic Foundation for Research and Innovation.

Published
2024
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100. Bayesian nonparametric modelling of sequential discoveries

Author

Zito, Alessandro, Rigon, Tommaso, Ovaskainen, Otso, and Dunson, David

Subjects
Statistics - Methodology
Abstract

We aim at modelling the appearance of distinct tags in a sequence of labelled objects. Common examples of this type of data include words in a corpus or distinct species in a sample. These sequential discoveries are often summarised via accumulation curves, which count the number of distinct entities observed in an increasingly large set of objects. We propose a novel Bayesian nonparametric method for species sampling modelling by directly specifying the probability of a new discovery, therefore allowing for flexible specifications. The asymptotic behavior and finite sample properties of such an approach are extensively studied. Interestingly, our enlarged class of sequential processes includes highly tractable special cases. We present a subclass of models characterized by appealing theoretical and computational properties. Moreover, due to strong connections with logistic regression models, the latter subclass can naturally account for covariates. We finally test our proposal on both synthetic and real data, with special emphasis on a large fungal biodiversity study in Finland.

Published
2020

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