Long-COVID autonomic syndrome in working age and work ability impairment

Autor: Luca Rinaldi, Stefano Rigo, Margherita Pani, Andrea Bisoglio, Kareem Khalaf, Maura Minonzio, Dana Shiffer, Maria Angela Romeo, Paolo Verzeletti, Michele Ciccarelli, Maria Grazia Bordoni, Saverio Stranges, Elio Riboli, Raffaello Furlan, Franca Barbic

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract Long-COVID19 has been recently associated with long-sick leave and unemployment. The autonomic nervous system functioning may be also affected by SARS-CoV-2, leading to a chronic autonomic syndrome. This latter remains widely unrecognized in

Externí odkaz: https://doaj.org/article/089b561e13fd455eaacf1e907848af91

The long Pentraxin PTX3 serves as an early predictive biomarker of co-infections in COVID-19

Autor: Accornero, Stefano, Aghemo, Alessio, Ali, Hussam, Angelini, Claudio, Arcari, Ivan, Arosio, Paola, Azzolini, Elena, Baccarin, Alessandra, Badalamenti, Salvatore, Baggio, Sara, Barbagallo, Michela, Barberi, Caterina, Barbic, Franca, Barbieri, Viviana, Barbone, Alessandro, Basciu, Alessio, Bocciolone, Monica, Borea, Federica, Borroni, Mario, Bresciani, Gianluigi, Brunetta, Enrico, Bulletti, Cinzia, Cadonati, Cristina, Calabro', Lorenzo, Calatroni, Marta, Calvetta Albania, Antonietta, Cannata, Francesco, Canziani, Lorenzo, Capretti Giovanni, Luigi, Carlani, Elisa, Carrone, Flaminia, Casana, Maddalena, Cecconi, Maurizio, Ceriotti, Carlo, Ciccarelli, Michele, Cimino, Matteo, Ciuffini, Leonardo, Colaizzi, Chiara, Colapietro, Francesca, Costa, Guido, Cozzi, Ottavia, Craviotto, Vincenzo, Crespi, Chiara, Crippa, Massimo, Da Rio, Leonardo, Dal Farra, Sara, D'Antonio, Federica, De Ambroggi, Guido, De Donato, Massimo, De Lucia, Francesca, De Santis, Maria, Delle Rose, Giacomo, Di Pilla, Marina, Dipaola, Franca, Dipasquale, Andrea, Dipasquale, Angelo, Droandi, Ginevra, Fazio, Roberta, Ferrante, Giuseppe, Ferrara Elisa, Chiara, Ferrari Matteo, Carlo, Ferri, Sebastian, Folci, Marco, Foresti, Sara, Franchi, Eloisa, Fraolini, Elia, Fugazza, Alessandro, Furfaro, Federica, Galimberti, Paola, Galtieri Alessia, Piera, Gavazzi, Francesca, Generali, Elena, Goletti, Benedetta, Guidelli, Giacomo, Jacobs, Flavia, Kurihara, Hayato, Lagioia, Michele, Libre', Luca, Lleo, Ana, Loiacono, Ferdinando, Lughezzani, Giovanni, Maccallini, Marta, Maiorino Alfonso, Francesco, Malesci, Alberto, Mantovani, Riccardo, Marchettini, Davide, Marinello, Arianna, Markopoulos, Nikolaos, Masetti, Chiara, Milani, Angelo, Mirani, Marco, Morelli, Paola, Motta, Francesca, Mundula, Valeria, Nigro, Mattia, Omodei, Paolo, Ormas, Monica, Pagliaro, Arianna, Paliotti, Roberta, Parigi Tommaso, Lorenzo, Pedale, Rosa, Pegoraro, Francesco, Pellegatta, Gaia, Pellegrino, Marta, Petriello, Gennaro, Piccini, Sara, Pocaterra, Daria, Poliani, Laura, Preatoni, Paoletta, Procopio, Fabio, Puggioni, Francesca, Pugliese, Luca, Racca, Francesca, Randazzo, Michele, Regazzoli Lancini, Damiano, Reggiani, Francesco, Rodolfi, Stefano, Ruongo, Lidia, Sacco, Clara, Sandri Maria, Teresa, Savi, Marzia, Scarfo', Iside, Shiffer, Dana, Sicoli, Federico, Solano, Simone, Solitano, Virginia, Stainer, Anna, Stella Matteo, Carlo, Strangio, Giuseppe, Taormina, Antonio, Testoni, Lucia, Tordato, Federica, Trabucco, Angela, Ulian, Luisa, Valentino, Rossella, Valeriano, Chiara, Vena, Walter, Verlingieri, Simona, Vespa, Edoardo, Voza, Antonio, Zanuso, Valentina, Zilli, Alessandra, Anfray, Clement, Belgiovine, Cristina, Bertocchi, Alice, Bombace, Sara, Brescia, Paola, Calcaterra, Francesca, Calvi, Michela, Cancellara, Assunta, Capucetti, Arianna, Carenza, Claudia, Carloni, Sara, Carnevale, Silvia, Cazzetta, Valentina, Coianiz, Nicolò, Darwich, Abbass, Davoudian, Sadaf, De Paoli, Federica, Di Donato, Rachele, Digifico, Elisabeth, Durante, Barbara, Farina Floriana, Maria, Ferrari, Valentina, Fornasa, Giulia, Franzese, Sara, Ghasemi, Somayehsadat, Gil Gomez, Antonio, Giugliano, Silvia, Gomes Ana, Rita, Lizier, Michela, Lo Cascio, Antonino, Melacarne, Alessia, Mozzarelli, Alessandro, My, Ilaria, Oresta, Bianca, Pasqualini, Fabio, Pastò, Anna, Pelamatti, Erica, Perucchini, Chiara, Pozzi, Chiara, Rimoldi, Valeria, Rimoldi, Monica, Scarpa, Alice, Scavello, Francesco, Silvestri, Alessandra, Sironi, Marina, Spadoni, Ilaria, Spano', Salvatore, Spata, Gianmarco, Supino, Domenico, Tentorio, Paolo, Ummarino, Aldo, Valentino, Sonia, Zaghi, Elisa, Zanon, Veronica, Mapelli, Sarah N., Nappi, Emanuele, García Martín, Ian David, Leone, Roberto, Angelotti, Giovanni, Zhong, Hang, Magrini, Elena, Stravalaci, Matteo, Protti, Alessandro, Santini, Alessandro, Costantini, Elena, Savevski, Victor, Bottazzi, Barbara, Bartoletti, Michele, Mantovani, Alberto, Garlanda, Cecilia

Publikováno v: In eBioMedicine July 2024 105

Parainfluenza Virus 5 V Protein Blocks Interferon Gamma-Mediated Upregulation of NK Cell Inhibitory Ligands and Improves NK Cell Killing of Neuroblastoma Cells

Autor: Elisabeth M. Shiffer, Jeremiah L. Oyer, Alicja J. Copik, Griffith D. Parks

Publikováno v: Viruses, Vol 16, Iss 8, p 1270 (2024)

Natural killer (NK) cells can be effective immunotherapeutic anti-cancer agents due to their ability to selectively target and kill tumor cells. This activity is modulated by the interaction of NK cell receptors with inhibitory ligands on the surface

Externí odkaz: https://doaj.org/article/5d77f5493d7548818ab809e97de35206

A large language model-based clinical decision support system for syncope recognition in the emergency department: A framework for clinical workflow integration

Autor: Levra, Alessandro Giaj, Gatti, Mauro, Mene, Roberto, Shiffer, Dana, Costantino, Giorgio, Solbiati, Monica, Furlan, Raffaello, Dipaola, Franca

Publikováno v: In European Journal of Internal Medicine September 2024

Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study

Autor: Franca Dipaola, Mauro Gatti, Alessandro Giaj Levra, Roberto Menè, Dana Shiffer, Roberto Faccincani, Zainab Raouf, Antonio Secchi, Patrizia Rovere Querini, Antonio Voza, Salvatore Badalamenti, Monica Solbiati, Giorgio Costantino, Victor Savevski, Raffaello Furlan

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)

Abstract Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency Department (ED). To address this aim, we developed an artificial neural network using textual (e.g. patient history) and tabular (e.g. laborat

Externí odkaz: https://doaj.org/article/9ea0ca475f194916b6778de4ac46a958