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1. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

Author: Aaron, James R., Adam, Atif, Agapito, Giuseppe, Albayrak, Adem, Albi, Giuseppe, Alessiani, Mario, Alloni, Anna, Amendola, Danilo F., Angoulvant, François, Anthony, Li LLJ., Aronow, Bruce J., Ashraf, Fatima, Atz, Andrew, Avillach, Paul, Panickan, Vidul Ayakulangara, Azevedo, Paula S., Badenes, Rafael, Balshi, James, Batugo, Ashley, Beaulieu-Jones, Brendin R., Beaulieu-Jones, Brett K., Bell, Douglas S., Bellasi, Antonio, Bellazzi, Riccardo, Benoit, Vincent, Beraghi, Michele, Bernal-Sobrino, José Luis, Bernaux, Mélodie, Bey, Romain, Bhatnagar, Surbhi, Blanco-Martínez, Alvar, Boeker, Martin, Bonzel, Clara-Lea, Booth, John, Bosari, Silvano, Bourgeois, Florence T., Bradford, Robert L., Brat, Gabriel A., Bréant, Stéphane, Brown, Nicholas W., Bruno, Raffaele, Bryant, William A., Bucalo, Mauro, Bucholz, Emily, Burgun, Anita, Cai, Tianxi, Cannataro, Mario, Carmona, Aldo, Cattelan, Anna Maria, Caucheteux, Charlotte, Champ, Julien, Chen, Jin, Chen, Krista Y., Chiovato, Luca, Chiudinelli, Lorenzo, Cho, Kelly, Cimino, James J., Colicchio, Tiago K., Cormont, Sylvie, Cossin, Sébastien, Craig, Jean B., Cruz-Bermúdez, Juan Luis, Cruz-Rojo, Jaime, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Das, Priyam, Devkota, Batsal, Dionne, Audrey, Duan, Rui, Dubiel, Julien, DuVall, Scott L., Esteve, Loic, Estiri, Hossein, Fan, Shirley, Follett, Robert W., Ganslandt, Thomas, García-Barrio, Noelia, Garmire, Lana X., Gehlenborg, Nils, Getzen, Emily J., Geva, Alon, Goh, Rachel SJ., González, Tomás González, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Gutiérrez-Sacristán, Alba, Guzzi, Pietro H., Han, Larry, Hanauer, David A., Haverkamp, Christian, Hazard, Derek Y., He, Bing, Henderson, Darren W., Hilka, Martin, Ho, Yuk-Lam, Holmes, John H., Honerlaw, Jacqueline P., Hong, Chuan, Huling, Kenneth M., Hutch, Meghan R., Issitt, Richard W., Jannot, Anne Sophie, Jouhet, Vianney, Kainth, Mundeep K., Kate, Kernan F., Kavuluru, Ramakanth, Keller, Mark S., Kennedy, Chris J., Kernan, Kate F., Key, Daniel A., Kirchoff, Katie, Klann, Jeffrey G., Kohane, Isaac S., Krantz, Ian D., Kraska, Detlef, Krishnamurthy, Ashok K., L'Yi, Sehi, Leblanc, Judith, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Liu, Molei, Will Loh, Ne Hooi, Long, Qi, Lozano-Zahonero, Sara, Luo, Yuan, Lynch, Kristine E., Mahmood, Sadiqa, Maidlow, Sarah E., Makoudjou, Adeline, Makwana, Simran, Malovini, Alberto, Mandl, Kenneth D., Mao, Chengsheng, Maram, Anupama, Maripuri, Monika, Martel, Patricia, Martins, Marcelo R., Marwaha, Jayson S., Masino, Aaron J., Mazzitelli, Maria, Mazzotti, Diego R., Mensch, Arthur, Milano, Marianna, Minicucci, Marcos F., Moal, Bertrand, Ahooyi, Taha Mohseni, Moore, Jason H., Moraleda, Cinta, Morris, Jeffrey S., Morris, Michele, Moshal, Karyn L., Mousavi, Sajad, Mowery, Danielle L., Murad, Douglas A., Murphy, Shawn N., Naughton, Thomas P., Breda Neto, Carlos Tadeu, Neuraz, Antoine, Newburger, Jane, Ngiam, Kee Yuan, Njoroge, Wanjiku FM., Norman, James B., Obeid, Jihad, Okoshi, Marina P., Olson, Karen L., Omenn, Gilbert S., Orlova, Nina, Ostasiewski, Brian D., Palmer, Nathan P., Paris, Nicolas, Patel, Lav P., Pedrera-Jiménez, Miguel, Pfaff, Ashley C., Pfaff, Emily R., Pillion, Danielle, Pizzimenti, Sara, Priya, Tanu, Prokosch, Hans U., Prudente, Robson A., Prunotto, Andrea, Quirós-González, Víctor, Ramoni, Rachel B., Raskin, Maryna, Rieg, Siegbert, Roig-Domínguez, Gustavo, Rojo, Pablo, Romero-Garcia, Nekane, Rubio-Mayo, Paula, Sacchi, Paolo, Sáez, Carlos, Salamanca, Elisa, Samayamuthu, Malarkodi Jebathilagam, Sanchez-Pinto, L. Nelson, Sandrin, Arnaud, Santhanam, Nandhini, Santos, Janaina C.C., Sanz Vidorreta, Fernando J., Savino, Maria, Schriver, Emily R., Schubert, Petra, Schuettler, Juergen, Scudeller, Luigia, Sebire, Neil J., Serrano-Balazote, Pablo, Serre, Patricia, Serret-Larmande, Arnaud, Shah, Mohsin A., Hossein Abad, Zahra Shakeri, Silvio, Domenick, Sliz, Piotr, Son, Jiyeon, Sonday, Charles, South, Andrew M., Sperotto, Francesca, Spiridou, Anastasia, Strasser, Zachary H., Tan, Amelia LM., Tan, Bryce W.Q., Tan, Byorn W.L., Tanni, Suzana E., Taylor, Deanne M., Terriza-Torres, Ana I., Tibollo, Valentina, Tippmann, Patric, Toh, Emma MS., Torti, Carlo, Trecarichi, Enrico M., Vallejos, Andrew K., Varoquaux, Gael, Vella, Margaret E., Verdy, Guillaume, Vie, Jill-Jênn, Visweswaran, Shyam, Vitacca, Michele, Wagholikar, Kavishwar B., Waitman, Lemuel R., Wang, Xuan, Wassermann, Demian, Weber, Griffin M., Wolkewitz, Martin, Wong, Scott, Xia, Zongqi, Xiong, Xin, Ye, Ye, Yehya, Nadir, Yuan, William, Zachariasse, Joany M., Zahner, Janet J., Zambelli, Alberto, Zhang, Harrison G., Zöller, Daniela, Zuccaro, Valentina, Zucco, Chiara, Li, Xiudi, Rofeberg, Valerie N., Elias, Matthew D., Laird-Gion, Jessica, and Newburger, Jane W.
Published: 2023
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2. Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

Author: Aaron, James R., Agapito, Giuseppe, Albayrak, Adem, Albi, Giuseppe, Alessiani, Mario, Alloni, Anna, Amendola, Danilo F., François Angoulvant, Anthony, Li L.L.J., Aronow, Bruce J., Ashraf, Fatima, Atz, Andrew, Avillach, Paul, Azevedo, Paula S., Balshi, James, Beaulieu-Jones, Brett K., Bell, Douglas S., Bellasi, Antonio, Bellazzi, Riccardo, Benoit, Vincent, Beraghi, Michele, Bernal-Sobrino, José Luis, Bernaux, Mélodie, Bey, Romain, Bhatnagar, Surbhi, Blanco-Martínez, Alvar, Bonzel, Clara-Lea, Booth, John, Bosari, Silvano, Bourgeois, Florence T., Bradford, Robert L., Brat, Gabriel A., Bréant, Stéphane, Brown, Nicholas W., Bruno, Raffaele, Bryant, William A., Bucalo, Mauro, Bucholz, Emily, Burgun, Anita, Cai, Tianxi, Cannataro, Mario, Carmona, Aldo, Caucheteux, Charlotte, Champ, Julien, Chen, Jin, Chen, Krista Y., Chiovato, Luca, Chiudinelli, Lorenzo, Cho, Kelly, Cimino, James J., Colicchio, Tiago K., Cormont, Sylvie, Cossin, Sébastien, Craig, Jean B., Cruz-Bermúdez, Juan Luis, Cruz-Rojo, Jaime, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Das, Priyam, Devkota, Batsal, Dionne, Audrey, Duan, Rui, Dubiel, Julien, DuVall, Scott L., Esteve, Loic, Estiri, Hossein, Fan, Shirley, Follett, Robert W., Ganslandt, Thomas, Barrio, Noelia García, Garmire, Lana X., Gehlenborg, Nils, Getzen, Emily J., Geva, Alon, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Gutiérrez-Sacristán, Alba, Han, Larry, Hanauer, David A., Haverkamp, Christian, Hazard, Derek Y., He, Bing, Henderson, Darren W., Hilka, Martin, Ho, Yuk-Lam, Holmes, John H., Hong, Chuan, Huling, Kenneth M., Hutch, Meghan R., Issitt, Richard W., Jannot, Anne Sophie, Jouhet, Vianney, Kavuluru, Ramakanth, Keller, Mark S., Kennedy, Chris J., Key, Daniel A., Kirchoff, Katie, Klann, Jeffrey G., Kohane, Isaac S., Krantz, Ian D., Kraska, Detlef, Krishnamurthy, Ashok K., L'Yi, Sehi, Le, Trang T., Leblanc, Judith, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Liu, Molei, Will Loh, Ne Hooi, Long, Qi, Lozano-Zahonero, Sara, Luo, Yuan, Lynch, Kristine E., Mahmood, Sadiqa, Maidlow, Sarah E., Makoudjou, Adeline, Malovini, Alberto, Mandl, Kenneth D., Mao, Chengsheng, Maram, Anupama, Martel, Patricia, Martins, Marcelo R., Marwaha, Jayson S., Masino, Aaron J., Mazzitelli, Maria, Mensch, Arthur, Milano, Marianna, Minicucci, Marcos F., Moal, Bertrand, Ahooyi, Taha Mohseni, Moore, Jason H., Moraleda, Cinta, Morris, Jeffrey S., Morris, Michele, Moshal, Karyn L., Mousavi, Sajad, Mowery, Danielle L., Murad, Douglas A., Murphy, Shawn N., Naughton, Thomas P., Breda Neto, Carlos Tadeu, Neuraz, Antoine, Newburger, Jane, Ngiam, Kee Yuan, Njoroge, Wanjiku F.M., Norman, James B., Obeid, Jihad, Okoshi, Marina P., Olson, Karen L., Omenn, Gilbert S., Orlova, Nina, Ostasiewski, Brian D., Palmer, Nathan P., Paris, Nicolas, Patel, Lav P., Pedrera-Jiménez, Miguel, Pfaff, Emily R., Pfaff, Ashley C., Pillion, Danielle, Pizzimenti, Sara, Prokosch, Hans U., Prudente, Robson A., Prunotto, Andrea, Quirós-González, Víctor, Ramoni, Rachel B., Raskin, Maryna, Rieg, Siegbert, Roig-Domínguez, Gustavo, Rojo, Pablo, Rubio-Mayo, Paula, Sacchi, Paolo, Sáez, Carlos, Salamanca, Elisa, Samayamuthu, Malarkodi Jebathilagam, Sanchez-Pinto, L. Nelson, Sandrin, Arnaud, Santhanam, Nandhini, Santos, Janaina C.C., Sanz Vidorreta, Fernando J., Savino, Maria, Schriver, Emily R., Schubert, Petra, Schuettler, Juergen, Scudeller, Luigia, Sebire, Neil J., Serrano-Balazote, Pablo, Serre, Patricia, Serret-Larmande, Arnaud, Shah, Mohsin, Hossein Abad, Zahra Shakeri, Silvio, Domenick, Sliz, Piotr, Son, Jiyeon, Sonday, Charles, South, Andrew M., Spiridou, Anastasia, Strasser, Zachary H., Tan, Amelia L.M., Tan, Bryce W.Q., Tan, Byorn W.L., Tanni, Suzana E., Taylor, Deanne M., Terriza-Torres, Ana I., Tibollo, Valentina, Tippmann, Patric, Toh, Emma M.S., Torti, Carlo, Trecarichi, Enrico M., Tseng, Yi-Ju, Vallejos, Andrew K., Varoquaux, Gael, Vella, Margaret E., Verdy, Guillaume, Vie, Jill-Jênn, Visweswaran, Shyam, Vitacca, Michele, Wagholikar, Kavishwar B., Waitman, Lemuel R., Wang, Xuan, Wassermann, Demian, Weber, Griffin M., Wolkewitz, Martin, Wong, Scott, Xia, Zongqi, Xiong, Xin, Ye, Ye, Yehya, Nadir, Yuan, William, Zambelli, Alberto, Zhang, Harrison G., Zo¨ller, Daniela, Zuccaro, Valentina, Zucco, Chiara, Mesa, Rebecca, and Verdy, Guillame
Published: 2023
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3. SARS-CoV-2 omicron (B.1.1.529)-related COVID-19 sequelae in vaccinated and unvaccinated patients with cancer: results from the OnCovid registry

Author: Evans, Joanne S, Swallow, Judith, Hanbury, Georgina, Chung, Chris, Patel, Meera, Dettorre, Gino, Belessiotis, Katherine, Saorise, Dolly, Jones, Eleanor, Apthorp, Eleanor, Moss, Charlotte, Russell, Beth, Townsend, Sarah, Jackson, Amanda, Loizidou, Angela, Piccart, Martine, Pommeret, Fanny, Colomba-Blameble, Emeline, Prat, Aleix, Cruz, Claudia A, Reyes, Roxana, Segui, Elia, Marco-Hernández, Javier, Viladot, Margarita, Harbeck, Nadia, Wuerstlein, Rachel, Henze, Franziska, Mahner, Sven, Felip, Eudald, Scotti, Lorenza, Marrari, Andrea, Grosso, Federica, Fusco, Vittorio, Delfanti, Sara, Rossi, Maura, Zambelli, Alberto, Tondini, Carlo, Chiudinelli, Lorenzo, Franchi, Michela, Libertini, Michela, Provenzano, Salvatore, Generali, Daniele, Grisanti, Salvatore, Baggi, Alice, Tovazzi, Valeria, Ficorella, Corrado, Porzio, Giampiero, Saponara, Maristella, Filetti, Marco, Tucci, Marco, Berardi, Rossana, Cantini, Luca, Paoloni, Francesco, Guida, Annalisa, Bracarda, Sergio, Iglesias, Maria, Sanchez de Torre, Ana, Tagliamento, Marco, Cortellini, Alessio, Tabernero, Josep, Mukherjee, Uma, Salazar, Ramon, Sureda, Anna, Maluquer, Clara, Ferrante, Daniela, Bower, Mark, Sharkey, Rachel, Mirallas, Oriol, Plaja, Andrea, Cucurull, Marc, Mesia, Ricard, Dalla Pria, Alessia, Newsom-Davis, Thomas, Van Hemelrijck, Mieke, Sita-Lumsden, Ailsa, Vincenzi, Bruno, Di Fazio, Giuseppina Rita, Tonini, Giuseppe, Pantano, Francesco, Bertuzzi, Alexia, Rossi, Sabrina, Brunet, Joan, Lambertini, Matteo, Pedrazzoli, Paolo, Biello, Federica, D'Avanzo, Francesca, Lee, Alvin J X, Shawe-Taylor, Marianne, Rogers, Lucy, Murphy, Cian, Cooper, Lee, Andaleeb, Ramis, Khalique, Saira, Bawany, Samira, Ahmed, Sarah, Carmona-García, M Carmen, Fort-Culillas, Roser, Liñan, Raquel, Zoratto, Federica, Rizzo, Gianpiero, Perachino, Marta, Doonga, Kris, Gaidano, Gianluca, Bruna, Riccardo, Patriarca, Andrea, Martinez-Vila, Clara, Pérez Criado, Ignacio, Giusti, Raffaele, Mazzoni, Francesca, Antonuzzo, Lorenzo, Santoro, Armando, Parisi, Alessandro, Queirolo, Paola, Aujayeb, Avinash, Rimassa, Lorenza, Diamantis, Nikolaos, Bertulli, Rossella, Fulgenzi, Claudia A M, D'Alessio, Antonio, Ruiz-Camps, Isabel, Saoudi-Gonzalez, Nadia, Garcia Illescas, David, Medina, Irene, Fox, Laura, Gennari, Alessandra, Aguilar-Company, Juan, and Pinato, David J
Published: 2023
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4. Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Author: Tan, Amelia L.M., Getzen, Emily J., Hutch, Meghan R., Strasser, Zachary H., Gutiérrez-Sacristán, Alba, Le, Trang T., Dagliati, Arianna, Morris, Michele, Hanauer, David A., Moal, Bertrand, Bonzel, Clara-Lea, Yuan, William, Chiudinelli, Lorenzo, Das, Priam, Zhang, Harrison G., Aronow, Bruce J., Avillach, Paul, Brat, Gabriel.A., Cai, Tianxi, Hong, Chuan, La Cava, William G., Hooi Will Loh, He, Luo, Yuan, Murphy, Shawn N., Yuan Hgiam, Kee, Omenn, Gilbert S., Patel, Lav P., Jebathilagam Samayamuthu, Malarkodi, Shriver, Emily R., Shakeri Hossein Abad, Zahra, Tan, Byorn W.L., Visweswaran, Shyam, Wang, Xuan, Weber, Griffin M., Xia, Zongqi, Verdy, Bertrand, Long, Qi, Mowery, Danielle L., and Holmes, John H.
Published: 2023
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5. Outcomes of the SARS-CoV-2 omicron (B.1.1.529) variant outbreak among vaccinated and unvaccinated patients with cancer in Europe: results from the retrospective, multicentre, OnCovid registry study

Author: Evans, Joanne S, Swallow, Judith, Chung, Chris, Patel, Meera, Dettorre, Gino, Ottaviani, Diego, Chowdhury, Amani, Merry, Eve, Chopra, Neha, Lee, Alvin JX, Sng, Christopher CT, Yu, Tamara, Shawe-Taylor, Marianne, Bain, Hamish DC, Wong, Yien Ning Sophia, Galazi, Myria, Benafif, Sarah, Dileo, Palma, Earnshaw, Irina, Patel, Grisma, Wu, Anjui, Soosaipillai, Gehan, Cooper, Lee, Andaleeb, Ramis, Dolly, Saoirse, Apthorp, Eleanor, Srikandarajah, Krishnie, Jones, Eleanor, Van Hemelrijck, Mieke, Moss, Charlotte, Russell, Beth, Chester, John, Loizidou, Angela, Piccart, Martine, Cruz, Claudia A, Reyes, Roxana, Segui, Elia, Marco-Hernández, Javier, Viladot, Margarita, Eremiev, Simeon, Fort-Culillas, Roser, Garcia, Isabel, Liñan, Raquel, Roqué Lloveras, Ariadna, Harbeck, Nadia, Wuerstlein, Rachel, Henze, Franziska, Mahner, Sven, Felip, Eudald, Pous, Anna, D'Avanzo, Francesca, Scotti, Lorenza, Krengli, Marco, Marrari, Andrea, Delfanti, Sara, Maconi, Antonio, Betti, Marta, Tonini, Giuseppe, Di Fazio, Giuseppina Rita, Tondini, Carlo, Chiudinelli, Lorenzo, Franchi, Michela, Libertini, Michela, Bertulli, Rossella, Baggi, Alice, Tovazzi, Valeria, Ficorella, Corrado, Porzio, Giampiero, Saponara, Maristella, Filetti, Marco, Zoratto, Federica, Paoloni, Francesco, Berardi, Rossana, Guida, Annalisa, Bracarda, Sergio, Iglesias, Maria, Sanchez de Torre, Ana, Tagliamento, Marco, Colomba, Emeline, Pommeret, Fanny, Pinato, David J, Aguilar-Company, Juan, Ferrante, Daniela, Hanbury, Georgina, Bower, Mark, Salazar, Ramon, Mirallas, Oriol, Sureda, Anna, Plaja, Andrea, Cucurull, Marc, Mesia, Ricard, Townsend, Sarah, Jackson, Amanda, Dalla Pria, Alessia, Newsom-Davis, Thomas, Handford, Jasmine, Sita-Lumsden, Ailsa, Vincenzi, Bruno, Bertuzzi, Alexia, Brunet, Joan, Lambertini, Matteo, Maluquer, Clara, Pedrazzoli, Paolo, Biello, Federica, Sinclair, Alasdair, Bawany, Samira, Khalique, Saira, Rossi, Sabrina, Rogers, Lucy, Murphy, Cian, Belessiotis, Katherine, Carmona-García, M Carmen, Sharkey, Rachel, García-Illescas, David, Rizzo, Gianpiero, Perachino, Marta, Saoudi-Gonzalez, Nadia, Doonga, Kris, Fox, Laura, Roldán, Elisa, Gaidano, Gianluca, Ruiz-Camps, Isabel, Bruna, Riccardo, Patriarca, Andrea, Martinez-Vila, Clara, Cantini, Luca, Zambelli, Alberto, Giusti, Raffaele, Mazzoni, Francesca, Caliman, Enrico, Santoro, Armando, Grosso, Federica, Parisi, Alessandro, Queirolo, Paola, Aujayeb, Avinash, Rimassa, Lorenza, Prat, Aleix, Tucci, Marco, Grisanti, Salvatore, Mukherjee, Uma, Diamantis, Nikolaos, Fusco, Vittorio, Generali, Daniele, Provenzano, Salvatore, Gennari, Alessandra, Tabernero, Josep, and Cortellini, Alessio
Published: 2022
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6. Prevalence and impact of COVID-19 sequelae on treatment and survival of patients with cancer who recovered from SARS-CoV-2 infection: evidence from the OnCovid retrospective, multicentre registry study

Author: Swallow, Judith, Chung, Chris, Dettorre, Gino, Chopra, Neha, Lee, Alvin JX, Sng, Christopher CT, Wong, Yien Ning Sophia, Galazi, Myria, Benafif, Sarah, Dileo, Palma, Patel, Grisma, Wu, Anjui, Sinclair, Alasdair, Soosaipillai, Gehan, Jones, Eleanor, Diamantis, Nikolaos, Mukherjee, Uma, Jackson, Amanda, Piccart, Martine, Pommeret, Fanny, Colomba, Johann, Colomba-Blameble, Emeline, Prat, Aleix, Cruz, Claudia A, Reyes, Roxana, Segui, Elia, Marco-Hernández, Javier, Tabernero, Josep, Aguilar-Company, Juan, Ruiz-Camps, Isabel, Fox, Laura, Garcia Illescas, David, Mirallas, Oriol, Roldán, Elisa, Carbó, Anna, Garcia, Isabel, Wuerstlein, Rachel, Mesia, Ricard, Maluquer, Clara, D'Avanzo, Francesca, Tonini, Giuseppe, Provenzano, Salvatore, Tovazzi, Valeria, Ficorella, Corrado, Queirolo, Paola, Giusti, Raffaele, Mazzoni, Francesca, Zoratto, Federica, Tucci, Marco, Berardi, Rossana, Guida, Annalisa, Bracarda, Sergio, Iglesias, Maria, Pinato, David J, Bower, Mark, Scotti, Lorenza, Patel, Meera, Colomba, Emeline, Dolly, Saoirse, Loizidou, Angela, Chester, John, Zambelli, Alberto, Dalla Pria, Alessia, Ottaviani, Diego, Chowdhury, Amani, Merry, Eve, Salazar, Ramon, Bertuzzi, Alexia, Brunet, Joan, Lambertini, Matteo, Tagliamento, Marco, Pous, Anna, Sita-Lumsden, Ailsa, Srikandarajah, Krishnie, Seguí, Elia, Generali, Daniele, Grisanti, Salvatore, Pedrazzoli, Paolo, Rizzo, Gianpiero, Libertini, Michela, Moss, Charlotte, Evans, Joanne S, Russell, Beth, Harbeck, Nadia, Vincenzi, Bruno, Biello, Federica, Bertulli, Rossella, Liñan, Raquel, Rossi, Sabrina, Carmona-García, Maria Carmen, Tondini, Carlo, Baggi, Alice, Fotia, Vittoria, Parisi, Alessandro, Porzio, Giampero, Saponara, Maristella, Cruz, Claudia Andrea, García-Illescas, David, Felip, Eudald, Roqué Lloveras, Ariadna, Sharkey, Rachel, Earnshaw, Irina, Ferrante, Daniela, Gaidano, Gianluca, Patriarca, Andrea, Bruna, Riccardo, Sureda, Anna, Martinez-Vila, Clara, Sanchez de Torre, Ana, Cantini, Luca, Filetti, Marco, Rimassa, Lorenza, Chiudinelli, Lorenzo, Franchi, Michela, Krengli, Marco, Santoro, Armando, Van Hemelrijck, Mieke, Newsom-Davis, Thomas, Gennari, Alessandra, and Cortellini, Alessio
Published: 2021
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7. Mining post-surgical care processes in breast cancer patients

Author: Chiudinelli, Lorenzo, Dagliati, Arianna, Tibollo, Valentina, Albasini, Sara, Geifman, Nophar, Peek, Niels, Holmes, John H., Corsi, Fabio, Bellazzi, Riccardo, and Sacchi, Lucia
Published: 2020
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8. i2b2 to Optimize Patients Enrollment

Author: Bucalo, Mauro, primary, Gabetta, Matteo, additional, Chiudinelli, Lorenzo, additional, Larizza, Cristiana, additional, Bellasi, Antonio, additional, Zambelli, Alberto, additional, and Barbarini, Nicola, additional
Published: 2021
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9. Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study.

Author: Hutch, Meghan R., Son, Jiyeon, Le, Trang T., Hong, Chuan, Wang, Xuan, Shakeri Hossein Abad, Zahra, Morris, Michele, Gutiérrez-Sacristán, Alba, Klann, Jeffrey G., Spiridou, Anastasia, Batugo, Ashley, Bellazzi, Riccardo, Benoit, Vincent, Bonzel, Clara-Lea, Bryant, William A., Chiudinelli, Lorenzo, Cho, Kelly, Das, Priyam, González González, Tomás, and Hanauer, David A.
Published: 2024
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10. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

Author: Sperotto, Francesca, primary, Gutiérrez-Sacristán, Alba, additional, Makwana, Simran, additional, Li, Xiudi, additional, Rofeberg, Valerie N., additional, Cai, Tianxi, additional, Bourgeois, Florence T., additional, Omenn, Gilbert S., additional, Hanauer, David A., additional, Sáez, Carlos, additional, Bonzel, Clara-Lea, additional, Bucholz, Emily, additional, Dionne, Audrey, additional, Elias, Matthew D., additional, García-Barrio, Noelia, additional, González, Tomás González, additional, Issitt, Richard W., additional, Kernan, Kate F., additional, Laird-Gion, Jessica, additional, Maidlow, Sarah E., additional, Mandl, Kenneth D., additional, Ahooyi, Taha Mohseni, additional, Moraleda, Cinta, additional, Morris, Michele, additional, Moshal, Karyn L., additional, Pedrera-Jiménez, Miguel, additional, Shah, Mohsin A., additional, South, Andrew M., additional, Spiridou, Anastasia, additional, Taylor, Deanne M., additional, Verdy, Guillaume, additional, Visweswaran, Shyam, additional, Wang, Xuan, additional, Xia, Zongqi, additional, Zachariasse, Joany M., additional, Newburger, Jane W., additional, Avillach, Paul, additional, Aaron, James R., additional, Adam, Atif, additional, Agapito, Giuseppe, additional, Albayrak, Adem, additional, Albi, Giuseppe, additional, Alessiani, Mario, additional, Alloni, Anna, additional, Amendola, Danilo F., additional, Angoulvant, François, additional, Anthony, Li LLJ., additional, Aronow, Bruce J., additional, Ashraf, Fatima, additional, Atz, Andrew, additional, Panickan, Vidul Ayakulangara, additional, Azevedo, Paula S., additional, Badenes, Rafael, additional, Balshi, James, additional, Batugo, Ashley, additional, Beaulieu-Jones, Brendin R., additional, Beaulieu-Jones, Brett K., additional, Bell, Douglas S., additional, Bellasi, Antonio, additional, Bellazzi, Riccardo, additional, Benoit, Vincent, additional, Beraghi, Michele, additional, Bernal-Sobrino, José Luis, additional, Bernaux, Mélodie, additional, Bey, Romain, additional, Bhatnagar, Surbhi, additional, Blanco-Martínez, Alvar, additional, Boeker, Martin, additional, Booth, John, additional, Bosari, Silvano, additional, Bradford, Robert L., additional, Brat, Gabriel A., additional, Bréant, Stéphane, additional, Brown, Nicholas W., additional, Bruno, Raffaele, additional, Bryant, William A., additional, Bucalo, Mauro, additional, Burgun, Anita, additional, Cannataro, Mario, additional, Carmona, Aldo, additional, Cattelan, Anna Maria, additional, Caucheteux, Charlotte, additional, Champ, Julien, additional, Chen, Jin, additional, Chen, Krista Y., additional, Chiovato, Luca, additional, Chiudinelli, Lorenzo, additional, Cho, Kelly, additional, Cimino, James J., additional, Colicchio, Tiago K., additional, Cormont, Sylvie, additional, Cossin, Sébastien, additional, Craig, Jean B., additional, Cruz-Bermúdez, Juan Luis, additional, Cruz-Rojo, Jaime, additional, Dagliati, Arianna, additional, Daniar, Mohamad, additional, Daniel, Christel, additional, Das, Priyam, additional, Devkota, Batsal, additional, Duan, Rui, additional, Dubiel, Julien, additional, DuVall, Scott L., additional, Esteve, Loic, additional, Estiri, Hossein, additional, Fan, Shirley, additional, Follett, Robert W., additional, Ganslandt, Thomas, additional, Garmire, Lana X., additional, Gehlenborg, Nils, additional, Getzen, Emily J., additional, Geva, Alon, additional, Goh, Rachel SJ., additional, Gradinger, Tobias, additional, Gramfort, Alexandre, additional, Griffier, Romain, additional, Griffon, Nicolas, additional, Grisel, Olivier, additional, Guzzi, Pietro H., additional, Han, Larry, additional, Haverkamp, Christian, additional, Hazard, Derek Y., additional, He, Bing, additional, Henderson, Darren W., additional, Hilka, Martin, additional, Ho, Yuk-Lam, additional, Holmes, John H., additional, Honerlaw, Jacqueline P., additional, Hong, Chuan, additional, Huling, Kenneth M., additional, Hutch, Meghan R., additional, Jannot, Anne Sophie, additional, Jouhet, Vianney, additional, Kainth, Mundeep K., additional, Kate, Kernan F., additional, Kavuluru, Ramakanth, additional, Keller, Mark S., additional, Kennedy, Chris J., additional, Key, Daniel A., additional, Kirchoff, Katie, additional, Klann, Jeffrey G., additional, Kohane, Isaac S., additional, Krantz, Ian D., additional, Kraska, Detlef, additional, Krishnamurthy, Ashok K., additional, L'Yi, Sehi, additional, Leblanc, Judith, additional, Lemaitre, Guillaume, additional, Lenert, Leslie, additional, Leprovost, Damien, additional, Liu, Molei, additional, Will Loh, Ne Hooi, additional, Long, Qi, additional, Lozano-Zahonero, Sara, additional, Luo, Yuan, additional, Lynch, Kristine E., additional, Mahmood, Sadiqa, additional, Makoudjou, Adeline, additional, Malovini, Alberto, additional, Mao, Chengsheng, additional, Maram, Anupama, additional, Maripuri, Monika, additional, Martel, Patricia, additional, Martins, Marcelo R., additional, Marwaha, Jayson S., additional, Masino, Aaron J., additional, Mazzitelli, Maria, additional, Mazzotti, Diego R., additional, Mensch, Arthur, additional, Milano, Marianna, additional, Minicucci, Marcos F., additional, Moal, Bertrand, additional, Moore, Jason H., additional, Morris, Jeffrey S., additional, Mousavi, Sajad, additional, Mowery, Danielle L., additional, Murad, Douglas A., additional, Murphy, Shawn N., additional, Naughton, Thomas P., additional, Breda Neto, Carlos Tadeu, additional, Neuraz, Antoine, additional, Newburger, Jane, additional, Ngiam, Kee Yuan, additional, Njoroge, Wanjiku FM., additional, Norman, James B., additional, Obeid, Jihad, additional, Okoshi, Marina P., additional, Olson, Karen L., additional, Orlova, Nina, additional, Ostasiewski, Brian D., additional, Palmer, Nathan P., additional, Paris, Nicolas, additional, Patel, Lav P., additional, Pfaff, Ashley C., additional, Pfaff, Emily R., additional, Pillion, Danielle, additional, Pizzimenti, Sara, additional, Priya, Tanu, additional, Prokosch, Hans U., additional, Prudente, Robson A., additional, Prunotto, Andrea, additional, Quirós-González, Víctor, additional, Ramoni, Rachel B., additional, Raskin, Maryna, additional, Rieg, Siegbert, additional, Roig-Domínguez, Gustavo, additional, Rojo, Pablo, additional, Romero-Garcia, Nekane, additional, Rubio-Mayo, Paula, additional, Sacchi, Paolo, additional, Salamanca, Elisa, additional, Samayamuthu, Malarkodi Jebathilagam, additional, Sanchez-Pinto, L. Nelson, additional, Sandrin, Arnaud, additional, Santhanam, Nandhini, additional, Santos, Janaina C.C., additional, Sanz Vidorreta, Fernando J., additional, Savino, Maria, additional, Schriver, Emily R., additional, Schubert, Petra, additional, Schuettler, Juergen, additional, Scudeller, Luigia, additional, Sebire, Neil J., additional, Serrano-Balazote, Pablo, additional, Serre, Patricia, additional, Serret-Larmande, Arnaud, additional, Hossein Abad, Zahra Shakeri, additional, Silvio, Domenick, additional, Sliz, Piotr, additional, Son, Jiyeon, additional, Sonday, Charles, additional, Sperotto, Francesca, additional, Strasser, Zachary H., additional, Tan, Amelia LM., additional, Tan, Bryce W.Q., additional, Tan, Byorn W.L., additional, Tanni, Suzana E., additional, Terriza-Torres, Ana I., additional, Tibollo, Valentina, additional, Tippmann, Patric, additional, Toh, Emma MS., additional, Torti, Carlo, additional, Trecarichi, Enrico M., additional, Vallejos, Andrew K., additional, Varoquaux, Gael, additional, Vella, Margaret E., additional, Vie, Jill-Jênn, additional, Vitacca, Michele, additional, Wagholikar, Kavishwar B., additional, Waitman, Lemuel R., additional, Wassermann, Demian, additional, Weber, Griffin M., additional, Wolkewitz, Martin, additional, Wong, Scott, additional, Xiong, Xin, additional, Ye, Ye, additional, Yehya, Nadir, additional, Yuan, William, additional, Zahner, Janet J., additional, Zambelli, Alberto, additional, Zhang, Harrison G., additional, Zöller, Daniela, additional, Zuccaro, Valentina, additional, and Zucco, Chiara, additional
Published: 2023
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11. Data from Clinical Portrait of the SARS-CoV-2 Epidemic in European Patients with Cancer

Author: Pinato, David J., primary, Zambelli, Alberto, primary, Aguilar-Company, Juan, primary, Bower, Mark, primary, Sng, Christopher C.T., primary, Salazar, Ramon, primary, Bertuzzi, Alexia, primary, Brunet, Joan, primary, Mesia, Ricard, primary, Seguí, Elia, primary, Biello, Federica, primary, Generali, Daniele, primary, Grisanti, Salvatore, primary, Rizzo, Gianpiero, primary, Libertini, Michela, primary, Maconi, Antonio, primary, Harbeck, Nadia, primary, Vincenzi, Bruno, primary, Bertulli, Rossella, primary, Ottaviani, Diego, primary, Carbó, Anna, primary, Bruna, Riccardo, primary, Benafif, Sarah, primary, Marrari, Andrea, primary, Wuerstlein, Rachel, primary, Carmona-Garcia, M. Carmen, primary, Chopra, Neha, primary, Tondini, Carlo, primary, Mirallas, Oriol, primary, Tovazzi, Valeria, primary, Betti, Marta, primary, Provenzano, Salvatore, primary, Fotia, Vittoria, primary, Cruz, Claudia Andrea, primary, Dalla Pria, Alessia, primary, D'Avanzo, Francesca, primary, Evans, Joanne S., primary, Saoudi-Gonzalez, Nadia, primary, Felip, Eudald, primary, Galazi, Myria, primary, Garcia-Fructuoso, Isabel, primary, Lee, Alvin J.X., primary, Newsom-Davis, Thomas, primary, Patriarca, Andrea, primary, García-Illescas, David, primary, Reyes, Roxana, primary, Dileo, Palma, primary, Sharkey, Rachel, primary, Wong, Yien Ning Sophia, primary, Ferrante, Daniela, primary, Marco-Hernández, Javier, primary, Sureda, Anna, primary, Maluquer, Clara, primary, Ruiz-Camps, Isabel, primary, Gaidano, Gianluca, primary, Rimassa, Lorenza, primary, Chiudinelli, Lorenzo, primary, Izuzquiza, Macarena, primary, Cabirta, Alba, primary, Franchi, Michela, primary, Santoro, Armando, primary, Prat, Aleix, primary, Tabernero, Josep, primary, Gennari, Alessandra, primary, Avanzi, Gian Carlo, primary, Bellan, Mattia, primary, Castello, Luigi Mario, primary, Martinez, Maria, primary, Mollà, Meritxell, primary, Pirisi, Mario, primary, Scotti, Lorenza, primary, and Swallow, Judith, primary
Published: 2023
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12. Supplementary Data from Clinical Portrait of the SARS-CoV-2 Epidemic in European Patients with Cancer

Author: Pinato, David J., primary, Zambelli, Alberto, primary, Aguilar-Company, Juan, primary, Bower, Mark, primary, Sng, Christopher C.T., primary, Salazar, Ramon, primary, Bertuzzi, Alexia, primary, Brunet, Joan, primary, Mesia, Ricard, primary, Seguí, Elia, primary, Biello, Federica, primary, Generali, Daniele, primary, Grisanti, Salvatore, primary, Rizzo, Gianpiero, primary, Libertini, Michela, primary, Maconi, Antonio, primary, Harbeck, Nadia, primary, Vincenzi, Bruno, primary, Bertulli, Rossella, primary, Ottaviani, Diego, primary, Carbó, Anna, primary, Bruna, Riccardo, primary, Benafif, Sarah, primary, Marrari, Andrea, primary, Wuerstlein, Rachel, primary, Carmona-Garcia, M. Carmen, primary, Chopra, Neha, primary, Tondini, Carlo, primary, Mirallas, Oriol, primary, Tovazzi, Valeria, primary, Betti, Marta, primary, Provenzano, Salvatore, primary, Fotia, Vittoria, primary, Cruz, Claudia Andrea, primary, Dalla Pria, Alessia, primary, D'Avanzo, Francesca, primary, Evans, Joanne S., primary, Saoudi-Gonzalez, Nadia, primary, Felip, Eudald, primary, Galazi, Myria, primary, Garcia-Fructuoso, Isabel, primary, Lee, Alvin J.X., primary, Newsom-Davis, Thomas, primary, Patriarca, Andrea, primary, García-Illescas, David, primary, Reyes, Roxana, primary, Dileo, Palma, primary, Sharkey, Rachel, primary, Wong, Yien Ning Sophia, primary, Ferrante, Daniela, primary, Marco-Hernández, Javier, primary, Sureda, Anna, primary, Maluquer, Clara, primary, Ruiz-Camps, Isabel, primary, Gaidano, Gianluca, primary, Rimassa, Lorenza, primary, Chiudinelli, Lorenzo, primary, Izuzquiza, Macarena, primary, Cabirta, Alba, primary, Franchi, Michela, primary, Santoro, Armando, primary, Prat, Aleix, primary, Tabernero, Josep, primary, Gennari, Alessandra, primary, Avanzi, Gian Carlo, primary, Bellan, Mattia, primary, Castello, Luigi Mario, primary, Martinez, Maria, primary, Mollà, Meritxell, primary, Pirisi, Mario, primary, Scotti, Lorenza, primary, and Swallow, Judith, primary
Published: 2023
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13. Free light chains as a reliable biomarker of intrathecal synthesis in the diagnosis of CNS inflammatory diseases

Author: Michetti, Laura, primary, Maffina, Francesca, additional, Ravasio, Rudi, additional, Barcella, Valeria, additional, Radaelli, Marta, additional, Chiudinelli, Lorenzo, additional, Sessa, Maria, additional, and Alessio, Maria Grazia, additional
Published: 2023
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14. SARS-CoV-2 omicron (B.1.1.529)-related COVID-19 sequelae in vaccinated and unvaccinated patients with cancer: results from the OnCovid registry

Author: Cortellini, Alessio, primary, Tabernero, Josep, additional, Mukherjee, Uma, additional, Salazar, Ramon, additional, Sureda, Anna, additional, Maluquer, Clara, additional, Ferrante, Daniela, additional, Bower, Mark, additional, Sharkey, Rachel, additional, Mirallas, Oriol, additional, Plaja, Andrea, additional, Cucurull, Marc, additional, Mesia, Ricard, additional, Dalla Pria, Alessia, additional, Newsom-Davis, Thomas, additional, Van Hemelrijck, Mieke, additional, Sita-Lumsden, Ailsa, additional, Apthorp, Eleanor, additional, Vincenzi, Bruno, additional, Di Fazio, Giuseppina Rita, additional, Tonini, Giuseppe, additional, Pantano, Francesco, additional, Bertuzzi, Alexia, additional, Rossi, Sabrina, additional, Brunet, Joan, additional, Lambertini, Matteo, additional, Pedrazzoli, Paolo, additional, Biello, Federica, additional, D'Avanzo, Francesca, additional, Lee, Alvin J X, additional, Shawe-Taylor, Marianne, additional, Rogers, Lucy, additional, Murphy, Cian, additional, Cooper, Lee, additional, Andaleeb, Ramis, additional, Khalique, Saira, additional, Bawany, Samira, additional, Ahmed, Sarah, additional, Carmona-García, M Carmen, additional, Fort-Culillas, Roser, additional, Liñan, Raquel, additional, Zoratto, Federica, additional, Rizzo, Gianpiero, additional, Perachino, Marta, additional, Doonga, Kris, additional, Gaidano, Gianluca, additional, Bruna, Riccardo, additional, Patriarca, Andrea, additional, Martinez-Vila, Clara, additional, Pérez Criado, Ignacio, additional, Giusti, Raffaele, additional, Mazzoni, Francesca, additional, Antonuzzo, Lorenzo, additional, Santoro, Armando, additional, Parisi, Alessandro, additional, Queirolo, Paola, additional, Aujayeb, Avinash, additional, Rimassa, Lorenza, additional, Diamantis, Nikolaos, additional, Bertulli, Rossella, additional, Fulgenzi, Claudia A M, additional, D'Alessio, Antonio, additional, Ruiz-Camps, Isabel, additional, Saoudi-Gonzalez, Nadia, additional, Garcia Illescas, David, additional, Medina, Irene, additional, Fox, Laura, additional, Gennari, Alessandra, additional, Aguilar-Company, Juan, additional, Pinato, David J, additional, Evans, Joanne S, additional, Swallow, Judith, additional, Hanbury, Georgina, additional, Chung, Chris, additional, Patel, Meera, additional, Dettorre, Gino, additional, Belessiotis, Katherine, additional, Saorise, Dolly, additional, Jones, Eleanor, additional, Moss, Charlotte, additional, Russell, Beth, additional, Townsend, Sarah, additional, Jackson, Amanda, additional, Loizidou, Angela, additional, Piccart, Martine, additional, Pommeret, Fanny, additional, Colomba-Blameble, Emeline, additional, Prat, Aleix, additional, Cruz, Claudia A, additional, Reyes, Roxana, additional, Segui, Elia, additional, Marco-Hernández, Javier, additional, Viladot, Margarita, additional, Harbeck, Nadia, additional, Wuerstlein, Rachel, additional, Henze, Franziska, additional, Mahner, Sven, additional, Felip, Eudald, additional, Scotti, Lorenza, additional, Marrari, Andrea, additional, Grosso, Federica, additional, Fusco, Vittorio, additional, Delfanti, Sara, additional, Rossi, Maura, additional, Zambelli, Alberto, additional, Tondini, Carlo, additional, Chiudinelli, Lorenzo, additional, Franchi, Michela, additional, Libertini, Michela, additional, Provenzano, Salvatore, additional, Generali, Daniele, additional, Grisanti, Salvatore, additional, Baggi, Alice, additional, Tovazzi, Valeria, additional, Ficorella, Corrado, additional, Porzio, Giampiero, additional, Saponara, Maristella, additional, Filetti, Marco, additional, Tucci, Marco, additional, Berardi, Rossana, additional, Cantini, Luca, additional, Paoloni, Francesco, additional, Guida, Annalisa, additional, Bracarda, Sergio, additional, Iglesias, Maria, additional, Sanchez de Torre, Ana, additional, and Tagliamento, Marco, additional
Published: 2023
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15. Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study

Author: Tan, Byorn W.L., primary, Tan, Bryce W.Q., additional, Tan, Amelia L.M., additional, Schriver, Emily R., additional, Gutiérrez-Sacristán, Alba, additional, Das, Priyam, additional, Yuan, William, additional, Hutch, Meghan R., additional, García Barrio, Noelia, additional, Pedrera Jimenez, Miguel, additional, Abu-el-rub, Noor, additional, Morris, Michele, additional, Moal, Bertrand, additional, Verdy, Guillaume, additional, Cho, Kelly, additional, Ho, Yuk-Lam, additional, Patel, Lav P., additional, Dagliati, Arianna, additional, Neuraz, Antoine, additional, Klann, Jeffrey G., additional, South, Andrew M., additional, Visweswaran, Shyam, additional, Hanauer, David A., additional, Maidlow, Sarah E., additional, Liu, Mei, additional, Mowery, Danielle L., additional, Batugo, Ashley, additional, Makoudjou, Adeline, additional, Tippmann, Patric, additional, Zöller, Daniela, additional, Brat, Gabriel A., additional, Luo, Yuan, additional, Avillach, Paul, additional, Bellazzi, Riccardo, additional, Chiovato, Luca, additional, Malovini, Alberto, additional, Tibollo, Valentina, additional, Samayamuthu, Malarkodi Jebathilagam, additional, Serrano Balazote, Pablo, additional, Xia, Zongqi, additional, Loh, Ne Hooi Will, additional, Chiudinelli, Lorenzo, additional, Bonzel, Clara-Lea, additional, Hong, Chuan, additional, Zhang, Harrison G., additional, Weber, Griffin M., additional, Kohane, Isaac S., additional, Cai, Tianxi, additional, Omenn, Gilbert S., additional, Holmes, John H., additional, Ngiam, Kee Yuan, additional, Aaron, James R., additional, Agapito, Giuseppe, additional, Albayrak, Adem, additional, Albi, Giuseppe, additional, Alessiani, Mario, additional, Alloni, Anna, additional, Amendola, Danilo F., additional, Angoulvant, François, additional, Anthony, Li L.L.J., additional, Aronow, Bruce J., additional, Ashraf, Fatima, additional, Atz, Andrew, additional, Panickan, Vidul Ayakulangara, additional, Azevedo, Paula S., additional, Balshi, James, additional, Beaulieu-Jones, Brett K., additional, Beaulieu-Jones, Brendin R., additional, Bell, Douglas S., additional, Bellasi, Antonio, additional, Benoit, Vincent, additional, Beraghi, Michele, additional, Bernal-Sobrino, José Luis, additional, Bernaux, Mélodie, additional, Bey, Romain, additional, Bhatnagar, Surbhi, additional, Blanco-Martínez, Alvar, additional, Boeker, Martin, additional, Booth, John, additional, Bosari, Silvano, additional, Bourgeois, Florence T., additional, Bradford, Robert L., additional, Bréant, Stéphane, additional, Brown, Nicholas W., additional, Bruno, Raffaele, additional, Bryant, William A., additional, Bucalo, Mauro, additional, Bucholz, Emily, additional, Burgun, Anita, additional, Cannataro, Mario, additional, Carmona, Aldo, additional, Cattelan, Anna Maria, additional, Caucheteux, Charlotte, additional, Champ, Julien, additional, Chen, Jin, additional, Chen, Krista Y., additional, Cimino, James J., additional, Colicchio, Tiago K., additional, Cormont, Sylvie, additional, Cossin, Sébastien, additional, Craig, Jean B., additional, Cruz-Bermúdez, Juan Luis, additional, Cruz-Rojo, Jaime, additional, Daniar, Mohamad, additional, Daniel, Christel, additional, Devkota, Batsal, additional, Dionne, Audrey, additional, Duan, Rui, additional, Dubiel, Julien, additional, DuVall, Scott L., additional, Esteve, Loic, additional, Estiri, Hossein, additional, Fan, Shirley, additional, Follett, Robert W., additional, Ganslandt, Thomas, additional, García-Barrio, Noelia, additional, Garmire, Lana X., additional, Gehlenborg, Nils, additional, Getzen, Emily J., additional, Geva, Alon, additional, González, Tomás González, additional, Gradinger, Tobias, additional, Gramfort, Alexandre, additional, Griffier, Romain, additional, Griffon, Nicolas, additional, Grisel, Olivier, additional, Guzzi, Pietro H., additional, Han, Larry, additional, Haverkamp, Christian, additional, Hazard, Derek Y., additional, He, Bing, additional, Henderson, Darren W., additional, Hilka, Martin, additional, Honerlaw, Jacqueline P., additional, Huling, Kenneth M., additional, Issitt, Richard W., additional, Jannot, Anne Sophie, additional, Jouhet, Vianney, additional, Kavuluru, Ramakanth, additional, Keller, Mark S., additional, Kennedy, Chris J., additional, Kernan, Kate F., additional, Key, Daniel A., additional, Kirchoff, Katie, additional, Krantz, Ian D., additional, Kraska, Detlef, additional, Krishnamurthy, Ashok K., additional, L'Yi, Sehi, additional, Le, Trang T., additional, Leblanc, Judith, additional, Lemaitre, Guillaume, additional, Lenert, Leslie, additional, Leprovost, Damien, additional, Liu, Molei, additional, Will Loh, Ne Hooi, additional, Long, Qi, additional, Lozano-Zahonero, Sara, additional, Lynch, Kristine E., additional, Mahmood, Sadiqa, additional, Makwana, Simran, additional, Mandl, Kenneth D., additional, Mao, Chengsheng, additional, Maram, Anupama, additional, Maripuri, Monika, additional, Martel, Patricia, additional, Martins, Marcelo R., additional, Marwaha, Jayson S., additional, Masino, Aaron J., additional, Mazzitelli, Maria, additional, Mazzotti, Diego R., additional, Mensch, Arthur, additional, Milano, Marianna, additional, Minicucci, Marcos F., additional, Ahooyi, Taha Mohseni, additional, Moore, Jason H., additional, Moraleda, Cinta, additional, Morris, Jeffrey S., additional, Moshal, Karyn L., additional, Mousavi, Sajad, additional, Murad, Douglas A., additional, Murphy, Shawn N., additional, Naughton, Thomas P., additional, Breda Neto, Carlos Tadeu, additional, Newburger, Jane, additional, Njoroge, Wanjiku F.M., additional, Norman, James B., additional, Obeid, Jihad, additional, Okoshi, Marina P., additional, Olson, Karen L., additional, Orlova, Nina, additional, Ostasiewski, Brian D., additional, Palmer, Nathan P., additional, Paris, Nicolas, additional, Pedrera-Jiménez, Miguel, additional, Pfaff, Ashley C., additional, Pfaff, Emily R., additional, Pillion, Danielle, additional, Pizzimenti, Sara, additional, Priya, Tanu, additional, Prokosch, Hans U., additional, Prudente, Robson A., additional, Prunotto, Andrea, additional, Quirós-González, Víctor, additional, Ramoni, Rachel B., additional, Raskin, Maryna, additional, Rieg, Siegbert, additional, Roig-Domínguez, Gustavo, additional, Rojo, Pablo, additional, Rubio-Mayo, Paula, additional, Sacchi, Paolo, additional, Sáez, Carlos, additional, Salamanca, Elisa, additional, Sanchez-Pinto, L. Nelson, additional, Sandrin, Arnaud, additional, Santhanam, Nandhini, additional, Santos, Janaina C.C., additional, Sanz Vidorreta, Fernando J., additional, Savino, Maria, additional, Schubert, Petra, additional, Schuettler, Juergen, additional, Scudeller, Luigia, additional, Sebire, Neil J., additional, Serrano-Balazote, Pablo, additional, Serre, Patricia, additional, Serret-Larmande, Arnaud, additional, Shah, Mohsin, additional, Hossein Abad, Zahra Shakeri, additional, Silvio, Domenick, additional, Sliz, Piotr, additional, Son, Jiyeon, additional, Sonday, Charles, additional, Sperotto, Francesca, additional, Spiridou, Anastasia, additional, Strasser, Zachary H., additional, Tan, Byorn W.L., additional, Tanni, Suzana E., additional, Taylor, Deanne M., additional, Terriza-Torres, Ana I., additional, Toh, Emma M.S., additional, Torti, Carlo, additional, Trecarichi, Enrico M., additional, Vallejos, Andrew K., additional, Varoquaux, Gael, additional, Vella, Margaret E., additional, Vie, Jill-Jênn, additional, Vitacca, Michele, additional, Wagholikar, Kavishwar B., additional, Waitman, Lemuel R., additional, Wang, Xuan, additional, Wassermann, Demian, additional, Wolkewitz, Martin, additional, Wong, Scott, additional, Xiong, Xin, additional, Ye, Ye, additional, Yehya, Nadir, additional, Zachariasse, Joany M., additional, Zahner, Janet J., additional, Zambelli, Alberto, additional, Zuccaro, Valentina, additional, and Zucco, Chiara, additional
Published: 2023
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16. International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality

Author: Weber, Griffin, Hong, Chuan, Xia, Zongqi, Palmer, Nathan, Avillach, Paul, L’yi, Sehi, Keller, Mark, Murphy, Shawn, Gutiérrez-Sacristán, Alba, Bonzel, Clara-Lea, Serret-Larmande, Arnaud, Neuraz, Antoine, Omenn, Gilbert, Visweswaran, Shyam, Klann, Jeffrey, South, Andrew, Loh, Ne Hooi Will, Cannataro, Mario, Beaulieu-Jones, Brett, Bellazzi, Riccardo, Agapito, Giuseppe, Alessiani, Mario, Aronow, Bruce, Bell, Douglas, Benoit, Vincent, Bourgeois, Florence, Chiovato, Luca, Cho, Kelly, Dagliati, Arianna, Duvall, Scott, Barrio, Noelia García, Hanauer, David, Ho, Yuk-Lam, Holmes, John, Issitt, Richard, Liu, Molei, Luo, Yuan, Lynch, Kristine, Maidlow, Sarah, Malovini, Alberto, Mandl, Kenneth, Mao, Chengsheng, Matheny, Michael, Moore, Jason, Morris, Jeffrey, Morris, Michele, Mowery, Danielle, Ngiam, Kee Yuan, Patel, Lav, Pedrera Jiménez, Miguel, Ramoni, Rachel, Schriver, Emily, Schubert, Petra, Balazote, Pablo Serrano, Spiridou, Anastasia, Tan, Amelia, Tan, Byorn, Tibollo, Valentina, Torti, Carlo, Trecarichi, Enrico, Wang, Xuan, Aaron, James, Albayrak, Adem, Albi, Giuseppe, Balshi, James, Alloni, Anna, Amendola, Danilo, Angoulvant, François, Anthony, Li, Ashraf, Fatima, Atz, Andrew, Azevedo, Paula, Bellasi, Antonio, Beraghi, Michele, Bernal-Sobrino, José Luis, Bernaux, Mélodie, Bey, Romain, Bhatnagar, Surbhi, Blanco-Martínez, Alvar, Boeker, Martin, Booth, John, Bosari, Silvano, Bradford, Robert, Brat, Gabriel, Bréant, Stéphane, Brown, Nicholas, Bruno, Raffaele, Bryant, William, Bucalo, Mauro, Bucholz, Emily, Burgun, Anita, Cai, Tianxi, Carmona, Aldo, Caucheteux, Charlotte, Champ, Julien, Chen, Krista, Chen, Jin, Chiudinelli, Lorenzo, Cimino, James, Colicchio, Tiago, Cormont, Sylvie, Cossin, Sébastien, Craig, Jean, Cruz-Bermúdez, Juan Luis, Cruz-Rojo, Jaime, Daniar, Mohamad, Daniel, Christel, Das, Priyam, Devkota, Batsal, Garmire, Lana, Dionne, Audrey, Duan, Rui, Dubiel, Julien, Esteve, Loic, Estiri, Hossein, Fan, Shirley, Follett, Robert, Ganslandt, Thomas, García-Barrio, Noelia, Gehlenborg, Nils, Getzen, Emily, Geva, Alon, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Han, Larry, Haverkamp, Christian, Key, Daniel, Hazard, Derek, He, Bing, Henderson, Darren, Hilka, Martin, Huling, Kenneth, Hutch, Meghan, Jannot, Anne Sophie, Jouhet, Vianney, Kavuluru, Ramakanth, Kennedy, Chris, Kernan, Kate, Kirchoff, Katie, Kohane, Isaac, Krantz, Ian, Kraska, Detlef, Krishnamurthy, Ashok, Le, Trang, Leblanc, Judith, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Long, Qi, Lozano-Zahonero, Sara, Mahmood, Sadiqa, Makoudjou, Adeline, Maram, Anupama, Martel, Patricia, Martins, Marcelo, Marwaha, Jayson, Masino, Aaron, Mazzitelli, Maria, Mensch, Arthur, Milano, Marianna, Minicucci, Marcos, Moal, Bertrand, Ahooyi, Taha Mohseni, Moraleda, Cinta, Moshal, Karyn, Mousavi, Sajad, Murad, Douglas, Naughton, Thomas, Neto, Carlos Tadeu Breda, Newburger, Jane, Njoroge, Wanjiku, Norman, James, Obeid, Jihad, Okoshi, Marina, Olson, Karen, Orlova, Nina, Ostasiewski, Brian, Paris, Nicolas, Pedrera-Jiménez, Miguel, Pfaff, Ashley, Pfaff, Emily, Pillion, Danielle, Pizzimenti, Sara, Prokosch, Hans, Prudente, Robson, Prunotto, Andrea, Quirós-González, Víctor, Raskin, Maryna, Rieg, Siegbert, Roig-Domínguez, Gustavo, Rojo, Pablo, Rubio-Mayo, Paula, Sacchi, Paolo, Sáez, Carlos, Salamanca, Elisa, Samayamuthu, Malarkodi Jebathilagam, Sanchez-Pinto, L. Nelson, Sandrin, Arnaud, Santhanam, Nandhini, Santos, Janaina, Sanz Vidorreta, Fernando, Savino, Maria, Schuettler, Juergen, Scudeller, Luigia, Sebire, Neil, Serrano-Balazote, Pablo, Serre, Patricia, Shah, Mohsin, Abad, Zahra Shakeri Hossein, Silvio, Domenick, Sliz, Piotr, Son, Jiyeon, Sonday, Charles, Sperotto, Francesca, Strasser, Zachary, Tan, Bryce, Tanni, Suzana, Taylor, Deanne, Terriza-Torres, Ana, Tippmann, Patric, Toh, Emma, Tseng, Yi-Ju, Vallejos, Andrew, Varoquaux, Gael, Vella, Margaret, Verdy, Guillaume, Vie, Jill-Jênn, Vitacca, Michele, Wagholikar, Kavishwar, Waitman, Lemuel, Wassermann, Demian, Wolkewitz, Martin, Wong, Scott, Xiong, Xin, Ye, Ye, Yehya, Nadir, Yuan, William, Zambelli, Alberto, Zhang, Harrison, Zöller, Daniela, Zuccaro, Valentina, Zucco, Chiara, Harvard Medical School [Boston] (HMS), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Massachusetts General Hospital [Boston], Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Service d'informatique médicale et biostatistiques [CHU Necker], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Paris Cité (UPCité), Health data- and model- driven Knowledge Acquisition (HeKA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)-École Pratique des Hautes Études (EPHE), University of Michigan [Ann Arbor], University of Michigan System, Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center, National University Health System [Singapore] (NUHS), Università degli Studi 'Magna Graecia' di Catanzaro = University of Catanzaro (UMG), Università degli Studi di Pavia = University of Pavia (UNIPV), Istituti Clinici Scientifici Maugeri [Pavia] (IRCCS Pavia - ICS Maugeri), ASST Pavia, University of Cincinnati (UC), University of California [Los Angeles] (UCLA), University of California (UC), VA Boston Healthcare System, Hospital Universitario 12 de Octubre [Madrid], University of Pennsylvania, Great Ormond Street Hospital for Children [London] (GOSH), Harvard School of Public Health, Northwestern University [Chicago, Ill. USA], VA Salt Lake City Health Care System, Boston Children's Hospital, University of Kansas [Kansas City], and National University Hospital [Singapore] (NUH)
Subjects: Health Information Management, Medicine (miscellaneous), Health Informatics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Computer Science Applications
Abstract: Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mortality using baseline commonly measured laboratory values and standard demographic and clinical covariates across healthcare systems, countries, and continents. Specifically, we trained a Cox regression model with nine measured laboratory test values, standard demographics at admission, and comorbidity burden pre-admission. These models were compared at site, country, and continent level. Of the 39,969 hospitalized patients with COVID-19 (68.6% male), 5717 (14.3%) died. In the Cox model, age, albumin, AST, creatine, CRP, and white blood cell count are most predictive of mortality. The baseline covariates are more predictive of mortality during the early days of COVID-19 hospitalization. Models trained at healthcare systems with larger cohort size largely retain good transportability performance when porting to different sites. The combination of routine laboratory test values at admission along with basic demographic features can predict mortality in patients hospitalized with COVID-19. Importantly, this potentially deployable model differs from prior work by demonstrating not only consistent performance but also reliable transportability across healthcare systems in the US and Europe, highlighting the generalizability of this model and the overall approach.
Published: 2022

17. Vaccination against SARS-CoV-2 protects from morbidity, mortality and sequelae from COVID19 in patients with cancer

Author: Pinato, David J., primary, Ferrante, Daniela, additional, Aguilar-Company, Juan, additional, Bower, Mark, additional, Salazar, Ramon, additional, Mirallas, Oriol, additional, Sureda, Anna, additional, Bertuzzi, Alexia, additional, Brunet, Joan, additional, Lambertini, Matteo, additional, Maluquer, Clara, additional, Pedrazzoli, Paolo, additional, Biello, Federica, additional, Lee, Alvin J.X., additional, Sng, Christopher C.T., additional, Liñan, Raquel, additional, Rossi, Sabrina, additional, Carmona-García, M.Carmen, additional, Sharkey, Rachel, additional, Eremiev, Simeon, additional, Rizzo, Gianpiero, additional, Bain, Hamish DC., additional, Yu, Tamara, additional, Cruz, Claudia A., additional, Perachino, Marta, additional, Saoudi-Gonzalez, Nadia, additional, Fort-Culillas, Roser, additional, Doonga, Kris, additional, Fox, Laura, additional, Roldán, Elisa, additional, Zoratto, Federica, additional, Gaidano, Gianluca, additional, Ruiz-Camps, Isabel, additional, Bruna, Riccardo, additional, Patriarca, Andrea, additional, Shawe-Taylor, Marianne, additional, Fusco, Vittorio, additional, Martinez-Vila, Clara, additional, Berardi, Rossana, additional, Filetti, Marco, additional, Mazzoni, Francesca, additional, Santoro, Armando, additional, Delfanti, Sara, additional, Parisi, Alessandro, additional, Queirolo, Paola, additional, Aujayeb, Avinash, additional, Rimassa, Lorenza, additional, Prat, Aleix, additional, Tabernero, Josep, additional, Gennari, Alessandra, additional, Cortellini, Alessio, additional, Pinato, David J., additional, Evans, Joanne S., additional, Swallow, Judith, additional, Hanbury, Georgina, additional, Chung, Chris, additional, Patel, Meera, additional, Dettorre, Gino, additional, Ottaviani, Diego, additional, Chowdhury, Amani, additional, Lee, Alvin JX., additional, Sng, Christopher CT., additional, Sinclair, Alasdair, additional, Cooper, Lee, additional, Rogers, Lucy, additional, Belessiotis, Katherine, additional, Murphy, Cian, additional, Bawany, Samira, additional, Khalique, Saira, additional, Andaleeb, Ramis, additional, Dalla Pria, Alessia, additional, Newsom-Davis, Thomas, additional, Dolly, Saorise, additional, Sita-Lumsde, Ailsa, additional, Apthorp, Eleanor, additional, Jones, Eleanor, additional, Van Hemelrijck, Mieke, additional, Moss, Charlotte, additional, Russell, Beth, additional, Diamantis, Nikolaos, additional, Mukherjee, Uma, additional, Townsend, Sarah, additional, Jackson, Amanda, additional, Loizidou, Angela, additional, Piccart, Martine, additional, Reyes, Roxana, additional, Segui, Elia, additional, Marco-Hernández, Javier, additional, Viladot, Margarita, additional, Garcia Illescas, David, additional, Saoudi, Nadia, additional, Carmona Garcia, MCarmen, additional, Fort-Culillas, Robert, additional, Harbeck, Nadia, additional, Wuerstlein, Rachel, additional, Henze, Franziska, additional, Mahner, Sven, additional, Mesia, Ricard, additional, Felip, Eudald, additional, Plaja, Andrea, additional, Cucurull, Marc, additional, D’Avanzo, Francesca, additional, Scotti, Lorenza, additional, Krengly, Marco, additional, Marrari, Andrea, additional, Grosso, Federica, additional, Maconi, Antonio, additional, Betti, Marta, additional, Vincenzi, Bruno, additional, Tonini, Giuseppe, additional, Zambelli, Alberto, additional, Tondini, Carlo, additional, Fotia, Vittoria, additional, Chiudinelli, Lorenzo, additional, Franchi, Michela, additional, Libertini, Michela, additional, Bertulli, Rossella, additional, Provenzano, Salvatore, additional, Generali, Daniele, additional, Grisanti, Salvatore, additional, Baggi, Alice, additional, Tovazzi, Valeria, additional, Ficorella, Corrado, additional, Porzio, Giampiero, additional, Saponara, Maristella, additional, Giusti, Raffaele, additional, Tucci, Marco, additional, Cantini, Luca, additional, Paoloni, Francesco, additional, Guida, Annalisa, additional, Bracarda, Sergio, additional, Iglesias, Maria, additional, Sanchez de Torre, Ana, additional, Pommeret, Fanny, additional, and Colomba, Emeline, additional
Published: 2022
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18. Outcomes of the SARS-CoV-2 omicron (B.1.1.529) variant outbreak among vaccinated and unvaccinated patients with cancer in Europe: results from the retrospective, multicentre, OnCovid registry study

Author: Pinato, David J, primary, Aguilar-Company, Juan, additional, Ferrante, Daniela, additional, Hanbury, Georgina, additional, Bower, Mark, additional, Salazar, Ramon, additional, Mirallas, Oriol, additional, Sureda, Anna, additional, Plaja, Andrea, additional, Cucurull, Marc, additional, Mesia, Ricard, additional, Townsend, Sarah, additional, Jackson, Amanda, additional, Dalla Pria, Alessia, additional, Newsom-Davis, Thomas, additional, Handford, Jasmine, additional, Sita-Lumsden, Ailsa, additional, Apthorp, Eleanor, additional, Vincenzi, Bruno, additional, Bertuzzi, Alexia, additional, Brunet, Joan, additional, Lambertini, Matteo, additional, Maluquer, Clara, additional, Pedrazzoli, Paolo, additional, Biello, Federica, additional, Sinclair, Alasdair, additional, Bawany, Samira, additional, Khalique, Saira, additional, Rossi, Sabrina, additional, Rogers, Lucy, additional, Murphy, Cian, additional, Belessiotis, Katherine, additional, Carmona-García, M Carmen, additional, Sharkey, Rachel, additional, García-Illescas, David, additional, Rizzo, Gianpiero, additional, Perachino, Marta, additional, Saoudi-Gonzalez, Nadia, additional, Doonga, Kris, additional, Fox, Laura, additional, Roldán, Elisa, additional, Gaidano, Gianluca, additional, Ruiz-Camps, Isabel, additional, Bruna, Riccardo, additional, Patriarca, Andrea, additional, Martinez-Vila, Clara, additional, Cantini, Luca, additional, Zambelli, Alberto, additional, Giusti, Raffaele, additional, Mazzoni, Francesca, additional, Caliman, Enrico, additional, Santoro, Armando, additional, Grosso, Federica, additional, Parisi, Alessandro, additional, Queirolo, Paola, additional, Aujayeb, Avinash, additional, Rimassa, Lorenza, additional, Prat, Aleix, additional, Tucci, Marco, additional, Libertini, Michela, additional, Grisanti, Salvatore, additional, Mukherjee, Uma, additional, Diamantis, Nikolaos, additional, Fusco, Vittorio, additional, Generali, Daniele, additional, Provenzano, Salvatore, additional, Gennari, Alessandra, additional, Tabernero, Josep, additional, Cortellini, Alessio, additional, Evans, Joanne S, additional, Swallow, Judith, additional, Chung, Chris, additional, Patel, Meera, additional, Dettorre, Gino, additional, Ottaviani, Diego, additional, Chowdhury, Amani, additional, Merry, Eve, additional, Chopra, Neha, additional, Lee, Alvin JX, additional, Sng, Christopher CT, additional, Yu, Tamara, additional, Shawe-Taylor, Marianne, additional, Bain, Hamish DC, additional, Wong, Yien Ning Sophia, additional, Galazi, Myria, additional, Benafif, Sarah, additional, Dileo, Palma, additional, Earnshaw, Irina, additional, Patel, Grisma, additional, Wu, Anjui, additional, Soosaipillai, Gehan, additional, Cooper, Lee, additional, Andaleeb, Ramis, additional, Dolly, Saoirse, additional, Srikandarajah, Krishnie, additional, Jones, Eleanor, additional, Van Hemelrijck, Mieke, additional, Moss, Charlotte, additional, Russell, Beth, additional, Chester, John, additional, Loizidou, Angela, additional, Piccart, Martine, additional, Cruz, Claudia A, additional, Reyes, Roxana, additional, Segui, Elia, additional, Marco-Hernández, Javier, additional, Viladot, Margarita, additional, Eremiev, Simeon, additional, Fort-Culillas, Roser, additional, Garcia, Isabel, additional, Liñan, Raquel, additional, Roqué Lloveras, Ariadna, additional, Harbeck, Nadia, additional, Wuerstlein, Rachel, additional, Henze, Franziska, additional, Mahner, Sven, additional, Felip, Eudald, additional, Pous, Anna, additional, D'Avanzo, Francesca, additional, Scotti, Lorenza, additional, Krengli, Marco, additional, Marrari, Andrea, additional, Delfanti, Sara, additional, Maconi, Antonio, additional, Betti, Marta, additional, Tonini, Giuseppe, additional, Di Fazio, Giuseppina Rita, additional, Tondini, Carlo, additional, Chiudinelli, Lorenzo, additional, Franchi, Michela, additional, Bertulli, Rossella, additional, Baggi, Alice, additional, Tovazzi, Valeria, additional, Ficorella, Corrado, additional, Porzio, Giampiero, additional, Saponara, Maristella, additional, Filetti, Marco, additional, Zoratto, Federica, additional, Paoloni, Francesco, additional, Berardi, Rossana, additional, Guida, Annalisa, additional, Bracarda, Sergio, additional, Iglesias, Maria, additional, Sanchez de Torre, Ana, additional, Tagliamento, Marco, additional, Colomba, Emeline, additional, and Pommeret, Fanny, additional
Published: 2022
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19. Evolving phenotypes of non-hospitalized patients that indicate long COVID

Author: ESTIRI, Hossein, Strasser, Zachary, Brat, Gabriel, Semenov, Yevgeniy, Patel, Chirag, Murphy, Shawn, Aaron, James, Agapito, Giuseppe, Albayrak, Adem, Alessiani, Mario, Amendola, Danilo, Anthony, Li, Aronow, Bruce, Ashraf, Fatima, Atz, Andrew, Avillach, Paul, Balshi, James, Beaulieu-Jones, Brett, Bell, Douglas, Bellasi, Antonio, Bellazzi, Riccardo, Benoit, Vincent, Beraghi, Michele, Sobrino, José Luis Bernal, Bernaux, Mélodie, Bey, Romain, Martínez, Alvar Blanco, Boeker, Martin, Bonzel, Clara-Lea, Booth, John, Bosari, Silvano, Bourgeois, Florence, Bradford, Robert, Bréant, Stéphane, Brown, Nicholas, Bryant, William, Bucalo, Mauro, Burgun, Anita, Cai, Tianxi, Cannataro, Mario, Carmona, Aldo, Caucheteux, Charlotte, Champ, Julien, Chen, Jin, Chen, Krista, Chiovato, Luca, Chiudinelli, Lorenzo, Cho, Kelly, Cimino, James, Colicchio, Tiago, Cormont, Sylvie, COSSIN, Sébastien, Craig, Jean, Bermúdez, Juan Luis Cruz, Rojo, Jaime Cruz, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Davoudi, Anahita, Devkota, Batsal, Dubiel, Julien, Esteve, Loic, Fan, Shirley, Follett, Robert, Gaiolla, Paula, Ganslandt, Thomas, Barrio, Noelia García, Garmire, Lana, Gehlenborg, Nils, GEVA, Alon, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Gutiérrez-Sacristán, Alba, Hanauer, David, Haverkamp, Christian, He, Bing, Henderson, Darren, Hilka, Martin, Holmes, John, Hong, Chuan, Horki, Petar, Huling, Kenneth, HUTCH, Meghan, Issitt, Richard, Jannot, Anne Sophie, Jouhet, Vianney, Keller, Mark, Kirchoff, Katie, Klann, Jeffrey, Kohane, Isaac, Krantz, Ian, Kraska, Detlef, Krishnamurthy, Ashok, L’Yi, Sehi, Le, Trang, Leblanc, Judith, Leite, Andressa, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Liu, Molei, LOH, Ne Hooi Will, Lozano-Zahonero, Sara, Luo, Yuan, Lynch, Kristine, Mahmood, Sadiqa, Maidlow, Sarah, Malovini, Alberto, Mandl, Kenneth, Mao, Chengsheng, Maram, Anupama, Martel, Patricia, Masino, Aaron, Mazzitelli, Maria, Mensch, Arthur, Milano, Marianna, Minicucci, Marcos, Moal, Bertrand, Moore, Jason, Moraleda, Cinta, Morris, Jeffrey, MORRIS, Michele, Moshal, Karyn, Mousavi, Sajad, Mowery, Danielle, Murad, Douglas, Naughton, Thomas, Neuraz, Antoine, Ngiam, Kee Yuan, Norman, James, Obeid, Jihad, Okoshi, Marina, Olson, Karen, Omenn, Gilbert, Orlova, Nina, Ostasiewski, Brian, Palmer, Nathan, Paris, Nicolas, Patel, Lav, Jimenez, Miguel Pedrera, Pfaff, Emily, Pillion, Danielle, Prokosch, Hans, Prudente, Robson, González, Víctor Quirós, Ramoni, Rachel, Raskin, Maryna, RIEG, Siegbert, Domínguez, Gustavo Roig, Rojo, Pablo, Sáez, Carlos, Salamanca, Elisa, Samayamuthu, Malarkodi, Sandrin, Arnaud, Santos, Janaina, Savino, Maria, SCHRIVER, Emily, Schubert, Petra, Schuettler, Juergen, Scudeller, Luigia, Sebire, Neil, Balazote, Pablo Serrano, Serre, Patricia, Serret-Larmande, Arnaud, Shakeri, Zahra, Silvio, Domenick, Sliz, Piotr, SON, Jiyeon, Sonday, Charles, South, Andrew, Spiridou, Anastasia, Tan, Amelia, Tan, Bryce, Tan, Byorn, Tanni, Suzana, Taylor, Deanne, Terriza Torres, Ana, Tibollo, Valentina, Tippmann, Patric, Torti, Carlo, Trecarichi, Enrico, Tseng, Yi-Ju, Vallejos, Andrew, Varoquaux, Gael, Vella, Margaret, Verdy, Guillaume, Vie, Jill-Jênn, Visweswaran, Shyam, Vitacca, Michele, Wagholikar, Kavishwar, Waitman, Lemuel, Wang, Xuan, Wassermann, Demian, Weber, Griffin, XIA, Zongqi, Yehya, Nadir, Yuan, William, Zambelli, Alberto, Zhang, Harrison, Zoeller, Daniel, Zucco, Chiara, Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Service d'informatique médicale et biostatistiques [CHU Necker], CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Health data- and model- driven Knowledge Acquisition (HeKA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université de Paris - UFR Médecine Paris Centre [Santé] (UP Médecine Paris Centre), Université de Paris (UP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPC)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPC), Université Paris Cité - UFR Médecine Paris Centre [Santé] (UPC Médecine Paris Centre), Université Paris Cité (UPC), This work was supported by the National Human Genome Research Institute grant 3U01HG008685-05S2 and the National Library of Medicine grant T15LM007092., École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), UFR Médecine [Santé] - Université Paris Cité (UFR Médecine UPCité), and Université Paris Cité (UPCité)
Subjects: medicine.medical_specialty, Neurological disorder, Chest pain, MESH: Phenotype, Article, 03 medical and health sciences, 0302 clinical medicine, Post-Acute COVID-19 Syndrome, Diabetes mellitus, Internal medicine, Machine learning, medicine, Chronic fatigue syndrome, Humans, Electronic health records, Post-acute sequelae of SARS-CoV-2, MESH: COVID-19, 030304 developmental biology, Retrospective Studies, 0303 health sciences, MESH: Humans, business.industry, Medical record, Type 2 Diabetes Mellitus, COVID-19, Retrospective cohort study, MESH: Retrospective Studies, General Medicine, medicine.disease, 3. Good health, Dysgeusia, Phenotypes, Phenotype, Medicine, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, medicine.symptom, business, 030217 neurology & neurosurgery, Research Article, Cohort study
Abstract: Background For some SARS-CoV-2 survivors, recovery from the acute phase of the infection has been grueling with lingering effects. Many of the symptoms characterized as the post-acute sequelae of COVID-19 (PASC) could have multiple causes or are similarly seen in non-COVID patients. Accurate identification of PASC phenotypes will be important to guide future research and help the healthcare system focus its efforts and resources on adequately controlled age- and gender-specific sequelae of a COVID-19 infection. Methods In this retrospective electronic health record (EHR) cohort study, we applied a computational framework for knowledge discovery from clinical data, MLHO, to identify phenotypes that positively associate with a past positive reverse transcription-polymerase chain reaction (RT-PCR) test for COVID-19. We evaluated the post-test phenotypes in two temporal windows at 3–6 and 6–9 months after the test and by age and gender. Data from longitudinal diagnosis records stored in EHRs from Mass General Brigham in the Boston Metropolitan Area was used for the analyses. Statistical analyses were performed on data from March 2020 to June 2021. Study participants included over 96 thousand patients who had tested positive or negative for COVID-19 and were not hospitalized. Results We identified 33 phenotypes among different age/gender cohorts or time windows that were positively associated with past SARS-CoV-2 infection. All identified phenotypes were newly recorded in patients’ medical records 2 months or longer after a COVID-19 RT-PCR test in non-hospitalized patients regardless of the test result. Among these phenotypes, a new diagnosis record for anosmia and dysgeusia (OR 2.60, 95% CI [1.94–3.46]), alopecia (OR 3.09, 95% CI [2.53–3.76]), chest pain (OR 1.27, 95% CI [1.09–1.48]), chronic fatigue syndrome (OR 2.60, 95% CI [1.22–2.10]), shortness of breath (OR 1.41, 95% CI [1.22–1.64]), pneumonia (OR 1.66, 95% CI [1.28–2.16]), and type 2 diabetes mellitus (OR 1.41, 95% CI [1.22–1.64]) is one of the most significant indicators of a past COVID-19 infection. Additionally, more new phenotypes were found with increased confidence among the cohorts who were younger than 65. Conclusions The findings of this study confirm many of the post-COVID-19 symptoms and suggest that a variety of new diagnoses, including new diabetes mellitus and neurological disorder diagnoses, are more common among those with a history of COVID-19 than those without the infection. Additionally, more than 63% of PASC phenotypes were observed in patients under 65 years of age, pointing out the importance of vaccination to minimize the risk of debilitating post-acute sequelae of COVID-19 among younger adults.
Published: 2021

20. Prevalence and impact of COVID-19 sequelae on treatment and survival of patients with cancer who recovered from SARS-CoV-2 infection: evidence from the OnCovid retrospective, multicentre registry study

Author: Pinato, David J, primary, Tabernero, Josep, additional, Bower, Mark, additional, Scotti, Lorenza, additional, Patel, Meera, additional, Colomba, Emeline, additional, Dolly, Saoirse, additional, Loizidou, Angela, additional, Chester, John, additional, Mukherjee, Uma, additional, Zambelli, Alberto, additional, Dalla Pria, Alessia, additional, Aguilar-Company, Juan, additional, Ottaviani, Diego, additional, Chowdhury, Amani, additional, Merry, Eve, additional, Salazar, Ramon, additional, Bertuzzi, Alexia, additional, Brunet, Joan, additional, Lambertini, Matteo, additional, Tagliamento, Marco, additional, Pous, Anna, additional, Sita-Lumsden, Ailsa, additional, Srikandarajah, Krishnie, additional, Colomba, Johann, additional, Pommeret, Fanny, additional, Seguí, Elia, additional, Generali, Daniele, additional, Grisanti, Salvatore, additional, Pedrazzoli, Paolo, additional, Rizzo, Gianpiero, additional, Libertini, Michela, additional, Moss, Charlotte, additional, Evans, Joanne S, additional, Russell, Beth, additional, Harbeck, Nadia, additional, Vincenzi, Bruno, additional, Biello, Federica, additional, Bertulli, Rossella, additional, Liñan, Raquel, additional, Rossi, Sabrina, additional, Carmona-García, Maria Carmen, additional, Tondini, Carlo, additional, Fox, Laura, additional, Baggi, Alice, additional, Fotia, Vittoria, additional, Parisi, Alessandro, additional, Porzio, Giampero, additional, Saponara, Maristella, additional, Cruz, Claudia Andrea, additional, García-Illescas, David, additional, Felip, Eudald, additional, Roqué Lloveras, Ariadna, additional, Sharkey, Rachel, additional, Roldán, Elisa, additional, Reyes, Roxana, additional, Earnshaw, Irina, additional, Ferrante, Daniela, additional, Marco-Hernández, Javier, additional, Ruiz-Camps, Isabel, additional, Gaidano, Gianluca, additional, Patriarca, Andrea, additional, Bruna, Riccardo, additional, Sureda, Anna, additional, Martinez-Vila, Clara, additional, Sanchez de Torre, Ana, additional, Cantini, Luca, additional, Filetti, Marco, additional, Rimassa, Lorenza, additional, Chiudinelli, Lorenzo, additional, Franchi, Michela, additional, Krengli, Marco, additional, Santoro, Armando, additional, Prat, Aleix, additional, Van Hemelrijck, Mieke, additional, Diamantis, Nikolaos, additional, Newsom-Davis, Thomas, additional, Gennari, Alessandra, additional, Cortellini, Alessio, additional, Swallow, Judith, additional, Chung, Chris, additional, Dettorre, Gino, additional, Chopra, Neha, additional, Lee, Alvin JX, additional, Sng, Christopher CT, additional, Wong, Yien Ning Sophia, additional, Galazi, Myria, additional, Benafif, Sarah, additional, Dileo, Palma, additional, Patel, Grisma, additional, Wu, Anjui, additional, Sinclair, Alasdair, additional, Soosaipillai, Gehan, additional, Jones, Eleanor, additional, Jackson, Amanda, additional, Piccart, Martine, additional, Colomba-Blameble, Emeline, additional, Cruz, Claudia A, additional, Segui, Elia, additional, Garcia Illescas, David, additional, Mirallas, Oriol, additional, Carbó, Anna, additional, Garcia, Isabel, additional, Wuerstlein, Rachel, additional, Mesia, Ricard, additional, Maluquer, Clara, additional, D'Avanzo, Francesca, additional, Tonini, Giuseppe, additional, Provenzano, Salvatore, additional, Tovazzi, Valeria, additional, Ficorella, Corrado, additional, Queirolo, Paola, additional, Giusti, Raffaele, additional, Mazzoni, Francesca, additional, Zoratto, Federica, additional, Tucci, Marco, additional, Berardi, Rossana, additional, Guida, Annalisa, additional, Bracarda, Sergio, additional, and Iglesias, Maria, additional
Published: 2021
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21. Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Author: Le, Trang, Gutiérrez-Sacristán, Alba, Son, Jiyeon, Hong, Chuan, South, Andrew, Beaulieu-Jones, Brett, Loh, Ne Hooi Will, Luo, Yuan, Morris, Michele, Ngiam, Kee Yuan, Patel, Lav, Samayamuthu, Malarkodi, Schriver, Emily, Tan, Amelia, Moore, Jason, Cai, Tianxi, Omenn, Gilbert, Avillach, Paul, Kohane, Isaac, Visweswaran, Shyam, Mowery, Danielle, Xia, Zongqi, Aaron, James, Agapito, Giuseppe, Albayrak, Adem, Alessiani, Mario, Amendola, Danilo, Angoulvant, François, Anthony, Li, Aronow, Bruce, Atz, Andrew, Balshi, James, Bell, Douglas, Bellasi, Antonio, Bellazzi, Riccardo, Benoit, Vincent, Beraghi, Michele, Bernal Sobrino, José Luis, Bernaux, Mélodie, Bey, Romain, Blanco Martínez, Alvar, Boeker, Martin, Bonzel, Clara-Lea, Booth, John, Bosari, Silvano, Bourgeois, Florence, Bradford, Robert, Brat, Gabriel, Bréant, Stéphane, Brown, Nicholas, Bryant, William, Bucalo, Mauro, Burgun, Anita, Cannataro, Mario, Carmona, Aldo, Caucheteux, Charlotte, Champ, Julien, Chen, Krista, Chen, Jin, Chiovato, Luca, Chiudinelli, Lorenzo, Cimino, James, Colicchio, Tiago, Cormont, Sylvie, Cossin, Sébastien, Craig, Jean, Cruz Bermúdez, Juan Luis, Cruz Rojo, Jaime, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Davoudi, Anahita, Devkota, Batsal, Dubiel, Julien, Esteve, Loic, Fan, Shirley, Follett, Robert, Gaiolla, Paula, Ganslandt, Thomas, García Barrio, Noelia, Garmire, Lana, Gehlenborg, Nils, Geva, Alon, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Hanauer, David, Haverkamp, Christian, He, Bing, Henderson, Darren, Hilka, Martin, Holmes, John, Horki, Petar, Huling, Kenneth, Hutch, Meghan, Issitt, Richard, Jannot, Anne Sophie, Jouhet, Vianney, Kavuluru, Ramakanth, Keller, Mark, Kirchoff, Katie, Klann, Jeffrey, Krantz, Ian, Kraska, Detlef, Krishnamurthy, Ashok, L’yi, Sehi, Leblanc, Judith, Leite, Andressa, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Liu, Molei, Lozano-Zahonero, Sarah, Lynch, Kristine, Mahmood, Sadiqa, Maidlow, Sarah, Makoudjou Tchendjou, Adeline, Malovini, Alberto, Mandl, Kenneth, Mao, Chengsheng, Maram, Anupama, Martel, Patricia, Masino, Aaron, Matheny, Michael, Maulhardt, Thomas, Mazzitelli, Maria, Mcduffie, Michael, Mensch, Arthur, Ashraf, Fatima, Milano, Marianna, Minicucci, Marcos, Moal, Bertrand, Moraleda, Cinta, Morris, Jeffrey, Moshal, Karyn, Mousavi, Sajad, Murad, Douglas, Murphy, Shawn, Naughton, Thomas, Neuraz, Antoine, Norman, James, Obeid, Jihad, Okoshi, Marina, Olson, Karen, Orlova, Nina, Ostasiewski, Brian, Palmer, Nathan, Paris, Nicolas, Pedrera Jimenez, Miguel, Pfaff, Emily, Pillion, Danielle, Prokosch, Hans, Prudente, Robson, Quirós González, Víctor, Ramoni, Rachel, Raskin, Maryna, Rieg, Siegbert, Roig Domínguez, Gustavo, Rojo, Pablo, Sáez, Carlos, Salamanca, Elisa, Sandrin, Arnaud, Santos, Janaina, Savino, Maria, Schuettler, Juergen, Scudeller, Luigia, Sebire, Neil, Balazote, Pablo Serrano, Serre, Patricia, Serret-Larmande, Arnaud, Shakeri, Zahra, Silvio, Domenick, Sliz, Piotr, Sonday, Charles, Spiridou, Anastasia, Tan, Bryce, Tan, Byorn, Tanni, Suzana, Taylor, Deanne, Terriza-Torres, Ana, Tibollo, Valentina, Tippmann, Patric, Torti, Carlo, Trecarichi, Enrico, Tseng, Yi-Ju, Vallejos, Andrew, Varoquaux, Gael, Vella, Margaret, Vie, Jill-Jênn, Vitacca, Michele, Wagholikar, Kavishwar, Waitman, Lemuel, Wassermann, Demian, Weber, Griffin, William, Yuan, Yehya, Nadir, Zambelli, Alberto, Zhang, Harrison, Zoeller, Daniela, Zucco, Chiara, Unité d'informatique médicale, CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Health data- and model- driven Knowledge Acquisition (HeKA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), UFR Médecine [Santé] - Université Paris Cité (UFR Médecine UPCité), Université Paris Cité (UPCité), AS is funded by National Institutes of Health (NIH) National Heart Lung, and Blood Institute (NHLBI) K23HL148394 and L40HL148910, and NIH-National Center for Advancing Translational Sciences (NCATS) UL1TR001420. JM is funded by NIH-National Institute of Allergy and Infectious Disease (NIAD) AI11679. LP is funded by NCATS Clinical and Translational Science Award (CTSA) Number UL1TR002366. GO is funded by NIH National Institute of Environmental Health Sciences (NIEHS) P30ES017885 and National Cancer Institute (NCI) U24CA210967. SV is funded by NIH-National Library of Medicine (NLM) R01LM012095 and NCATS UL1TR001857. DM is funded by NCATS CTSA Number UL1-TR001878. ZX is funded by NIH National Institute of Neurological Disorders and Stroke (NINDS) R01NS098023., Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), National Cancer Institute, École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université de Paris - UFR Médecine Paris Centre [Santé] (UP Médecine Paris Centre), Université de Paris (UP), University of Pennsylvania Perelman School of Medicine, Harvard Medical School, University of Pittsburgh, Wake Forest School of Medicine, National University Health Systems, Northwestern University, University of Kansas Medical Center, University of Pennsylvania Health System, University of Michigan, University of Kentucky, University Magna Graecia of Catanzaro, INC., Lombardia Region Health System, Universidade Estadual Paulista (UNESP), Assistance Publique-Hôpitaux de Paris, Tan Tock Seng Hospital, University of Cincinnati, Medical University of South Carolina, St. Luke’s University Health Network, David Geffen School of Medicine at UCLA, ASST Papa Giovanni XXIII, University of Pavia, APHP Greater Paris University Hospital, ASST Pavia, Hospital Universitario, University of Freiburg, Informatics and Virtual Environments (DRIVE), IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, University of North Carolina, BIOMERIS (BIOMedical Research Informatics Solutions), CEA, LIRMM, Boston Children’s Hospital, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, University of Alabama at Birmingham, Bordeaux University Hospital/ERIAS-Inserm U1219 BPH, Children’s Hospital of Philadelphia, Inria Centre de Paris, Heidelberg University, and Pain Medicine Boston Children’s Hospital, University of Michigan Medical School, MSHI Medical University of South Carolina, Massachusetts General Hospital, The Children’s Hospital of Philadelphia, University Hospital, Clevy.io, Harvard T.H. Chan School of Public Health, VA Salt Lake City Health Care System, Veterans Affairs Medical Center, PSL Université Paris, School of Biomedical Informatics, Great Ormond Street Hospital for Children, University of Erlangen-Nürnberg, Office of Research and Development, Universitat Politècnica de València, Nurse Department of FMB-Medicine School of Botucatu, FAU Erlangen-Nürnberg, National University Hospital, Chang Gung University, Medical College of Wisconsin, McGill University, Inria Lille, ICS S Maugeri IRCCS, University of Missouri, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPC)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPC), Université Paris Cité - UFR Médecine Paris Centre [Santé] (UPC Médecine Paris Centre), and Université Paris Cité (UPC)
Subjects: Male, Epidemiology, Cross-sectional study, Disease, Severity of Illness Index, MESH: Aged, 80 and over, 0302 clinical medicine, MESH: Child, Prevalence, MESH: COVID-19, 030212 general & internal medicine, Young adult, Child, Aged, 80 and over, MESH: Aged, MESH: Middle Aged, Multidisciplinary, MESH: Infant, Newborn, Middle Aged, MESH: Infant, 3. Good health, Neurology, MESH: Young Adult, Child, Preschool, Medicine, Female, Encephalitis, Adult, MESH: Pandemics, medicine.medical_specialty, Adolescent, Science, Myelitis, MESH: Nervous System Diseases, Article, Young Adult, 03 medical and health sciences, Medical research, MESH: Cross-Sectional Studies, MESH: Severity of Illness Index, Internal medicine, Severity of illness, medicine, Humans, Pandemics, MESH: Prevalence, Aged, MESH: Adolescent, MESH: Humans, business.industry, MESH: Child, Preschool, Infant, Newborn, COVID-19, Infant, MESH: Adult, medicine.disease, MESH: Male, Confidence interval, Cross-Sectional Studies, Relative risk, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Nervous System Diseases, business, MESH: Female, Neurological disorders, 030217 neurology & neurosurgery
Abstract: Made available in DSpace on 2022-04-29T08:35:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-12-01 Division of Intramural Research, National Institute of Allergy and Infectious Diseases Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases National Institute of Allergy and Infectious Diseases National Center for Advancing Translational Sciences National Heart, Lung, and Blood Institute National Institute of Environmental Health Sciences U.S. National Library of Medicine National Institute of Neurological Disorders and Stroke Division of Cancer Prevention, National Cancer Institute Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January–September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7–7.8%, pFDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7–10.5%, pFDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19–25%), cerebrovascular diseases (24%, 13–35%), nontraumatic intracranial hemorrhage (34%, 20–50%), encephalitis and/or myelitis (37%, 17–60%) and myopathy (72%, 67–77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease. Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Department of Biomedical Informatics Harvard Medical School Department of Neurology University of Pittsburgh, Biomedical Science Tower 3, Suite 7014, 3501 5th Avenue Department of Pediatrics Wake Forest School of Medicine Department of Critical Care National University Health Systems Department of Preventive Medicine Northwestern University Department of Biomedical Informatics University of Pittsburgh Department of Surgery National University Health Systems Department of Internal Medicine University of Kansas Medical Center Data Analytics Center University of Pennsylvania Health System Department of Computational Medicine and Bioinformatics University of Michigan Department of Biomedical Informatics University of Kentucky Department of Legal Economic and Social Sciences University Magna Graecia of Catanzaro Health Catalyst INC. Department of Surgery ASST Pavia Lombardia Region Health System Clinical Research Unit of Botucatu Medical School São Paulo State University Pediatric Emergency Department Hôpital Necker-Enfants Malades Assistance Publique-Hôpitaux de Paris National Center for Infectious Diseases Tan Tock Seng Hospital Departments of Biomedical Informatics Pediatrics Cincinnati Children’s Hospital Medical Center University of Cincinnati Department of Pediatrics Medical University of South Carolina Department of Surgery St. Luke’s University Health Network Department of Medicine David Geffen School of Medicine at UCLA UOC Ricerca Innovazione e Brand Reputation ASST Papa Giovanni XXIII Department of Electrical Computer and Biomedical Engineering University of Pavia IT Department Innovation & Data APHP Greater Paris University Hospital I.T. Department ASST Pavia Health Informatics Hospital Universitario, 12 de Octubre Strategy and Transformation Department APHP Greater Paris University Hospital Faculty of Medicine and Medical Center University of Freiburg Digital Research Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children Scientific Direction IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano North Carolina Translational and Clinical Sciences (NC TraCS) Institute University of North Carolina BIOMERIS (BIOMedical Research Informatics Solutions) Department of Biomedical Informatics HEGP APHP Greater Paris University Hospital Department of Medical and Surgical Sciences Data Analytics Research Center University Magna Graecia of Catanzaro Department of Anesthesia St. Luke’s University Health Network Université Paris-Saclay Inria CEA INRIA Sophia-Antipolis–ZENITH Team LIRMM Computational Health Informatics Program Boston Children’s Hospital Department of Internal Medicine University of Kentucky Unit of Internal Medicine and Endocrinology Istituti Clinici Scientifici Maugeri SpA SB IRCCS Department of Internal Medicine and Therapeutics University of Pavia Informatics Institute University of Alabama at Birmingham IAM Unit Bordeaux University Hospital/ERIAS-Inserm U1219 BPH Biomedical Informatics Center Medical University of South Carolina Clinical Research Informatics Boston Children’s Hospital Department of Biomedical and Health Informatics Children’s Hospital of Philadelphia SED/SIERRA Inria Centre de Paris Health Information Technology & Services University of Michigan Internal Medicine Department Botucatu Medical School São Paulo State University Heinrich-Lanz-Center for Digital Health University Medicine Mannheim Heidelberg University Department of Anesthesiology Critical Care and Pain Medicine Boston Children’s Hospital Department of Learning Health Sciences University of Michigan Medical School MSHI Medical University of South Carolina Department of Medicine Massachusetts General Hospital Division of Human Genetics Department of Pediatrics The Children’s Hospital of Philadelphia Center for Medical Information and Communication Technology University Hospital Renaissance Computing Institute/Department of Computer Science University of North Carolina Clinical Research Unit Saint Antoine Hospital APHP Greater Paris University Hospital Clevy.io Department of Biostatistics Harvard T.H. Chan School of Public Health VA Informatics and Computing Infrastructure VA Salt Lake City Health Care System MICHR Informatics University of Michigan Laboratory of Informatics and Systems Engineering for Clinical Research Istituti Clinici Scientifici Maugeri SpA SB IRCCS Harvard Catalyst Harvard Medical School Clinical Research Unit Paris Saclay APHP Greater Paris University Hospital Department of Anesthesiology and Critical Care Children’s Hospital of Philadelphia VA Informatics and Computing Infrastructure Tennessee Valley Healthcare System Veterans Affairs Medical Center École Normale Supérieure PSL Université Paris BIG-ARC The University of Texas Health Science Center at Houston School of Biomedical Informatics Pediatric Infectious Disease Department Hospital Universitario, 12 de Octubre Department of Infectious Diseases Great Ormond Street Hospital for Children Department of Neurology Massachusetts General Hospital Internal Medicine Department of Botucatu Medical School São Paulo State University Department of Pediatrics Boston Children’s Hospital Center for Biomedical Informatics Wake Forest School of Medicine Department of Medical Informatics University of Erlangen-Nürnberg Department of Veterans Affairs Office of Research and Development Biomedical Data Science Lab ITACA Institute Universitat Politècnica de València Nurse Department of FMB-Medicine School of Botucatu Management Engineering ASST Pavia Lombardia Region Health System Department of Anesthesiology University Hospital Erlangen FAU Erlangen-Nürnberg Critical Care Medicine Department of Medicine St. Luke’s University Health Network Department of Medicine National University Hospital Department of Information Management Chang Gung University Clinical & Translational Science Institute Medical College of Wisconsin Montréal Neurological Institute McGill University SequeL Inria Lille Respiratory Department ICS S Maugeri IRCCS Department of Health Management and Informatics University of Missouri Department of Oncology ASST Papa Giovanni XXIII Clinical Research Unit of Botucatu Medical School São Paulo State University Internal Medicine Department Botucatu Medical School São Paulo State University Internal Medicine Department of Botucatu Medical School São Paulo State University Division of Intramural Research, National Institute of Allergy and Infectious Diseases: AI11679 Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases: AI11679 National Institute of Allergy and Infectious Diseases: AI11679 National Center for Advancing Translational Sciences: CTSA Award #UL1TR001878 National Center for Advancing Translational Sciences: CTSA Award #UL1TR002366 National Heart, Lung, and Blood Institute: K23HL148394 National Institute of Environmental Health Sciences: P30ES017885 U.S. National Library of Medicine: R01LM012095 National Institute of Neurological Disorders and Stroke: R01NS098023 Division of Cancer Prevention, National Cancer Institute: U24CA210967 National Center for Advancing Translational Sciences: UL1TR001420 National Center for Advancing Translational Sciences: UL1TR001857
Published: 2021

22. International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries

Author: Bourgeois, Florence, Gutiérrez-Sacristán, Alba, Keller, Mark, Liu, Molei, Hong, Chuan, Bonzel, Clara-Lea, Tan, Amelia, Aronow, Bruce, Boeker, Martin, Booth, John, Cruz Rojo, Jaime, Devkota, Batsal, García Barrio, Noelia, Gehlenborg, Nils, Geva, Alon, Hanauer, David, Hutch, Meghan, Issitt, Richard, Klann, Jeffrey, Luo, Yuan, Mandl, Kenneth, Mao, Chengsheng, Moal, Bertrand, Moshal, Karyn, Murphy, Shawn, Neuraz, Antoine, Ngiam, Kee Yuan, Omenn, Gilbert, Patel, Lav, Jiménez, Miguel Pedrera, Sebire, Neil, Balazote, Pablo Serrano, Serret-Larmande, Arnaud, South, Andrew, Spiridou, Anastasia, Taylor, Deanne, Tippmann, Patric, Visweswaran, Shyam, Weber, Griffin, Kohane, Isaac, Cai, Tianxi, Avillach, Paul, Cruz-Rojo, Jaime, García-Barrio, Noelia, Pedrera-Jiménez, Miguel, Serrano-Balazote, Pablo, Aaron, James, Agapito, Giuseppe, Albayrak, Adem, Alessiani, Mario, Amendola, Danilo, Angoulvant, François, Anthony, Li Llj, Atz, Andrew, Balshi, James, Beaulieu-Jones, Brett, Bell, Douglas, Bellasi, Antonio, Bellazzi, Riccardo, Benoit, Vincent, Beraghi, Michele, Bernal Sobrino, José Luis, Bernaux, Mélodie, Bey, Romain, Blanco Martínez, Alvar, Bosari, Silvano, Bradford, Robert, Brat, Gabriel, Bréant, Stéphane, Brown, Nicholas, Bryant, William, Bucalo, Mauro, Burgun, Anita, Cannataro, Mario, Carmona, Aldo, Caucheteux, Charlotte, Champ, Julien, Chen, Krista, Chen, Jin, Chiovato, Luca, Chiudinelli, Lorenzo, Cimino, James, Colicchio, Tiago, Cormont, Sylvie, Cossin, Sébastien, Craig, Jean, Cruz Bermúdez, Juan Luis, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Davoudi, Anahita, Dubiel, Julien, Duvall, Scott, Esteve, Loic, Fan, Shirley, Follett, Robert, Gaiolla, Paula Sa, Ganslandt, Thomas, Garmire, Lana, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Haverkamp, Christian, He, Bing, Henderson, Darren, Hilka, Martin, Holmes, John, Horki, Petar, Huling, Kenneth, Jannot, Anne Sophie, Jouhet, Vianney, Kavuluru, Ramakanth, Kirchoff, Katie, Krantz, Ian, Kraska, Detlef, Krishnamurthy, Ashok, L'Yi, Sehi, Le, Trang, Leblanc, Judith, Leite, Andressa Rr, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Loh, Ne Hooi Will, Lynch, Kristine, Mahmood, Sadiqa, Maidlow, Sarah, Malovini, Alberto, Maram, Anupama, Martel, Patricia, Masino, Aaron, Matheny, Michael, Maulhardt, Thomas, Mazzitelli, Maria, Mcduffie, Michael, Mensch, Arthur, Milano, Marianna, Minicucci, Marcos, Moore, Jason, Moraleda, Cinta, Morris, Jeffrey, Morris, Michele, Mousavi, Sajad, Mowery, Danielle, Murad, Douglas, Naughton, Thomas, Norman, James, Obeid, Jihad, Okoshi, Marina, Olson, Karen, Orlova, Nina, Ostasiewski, Brian, Palmer, Nathan, Paris, Nicolas, Pfaff, Emily, Pillion, Danielle, Prokosch, Hans, Prudente, Robson, Quirós González, Víctor, Ramoni, Rachel, Raskin, Maryna, Rieg, Siegbert, Roig Domínguez, Gustavo, Rojo, Pablo, Sáez, Carlos, Salamanca, Elisa, Samayamuthu, Malarkodi, Sandrin, Arnaud, Santos, Janaina Cc, Savino, Maria, Schriver, Emily, Schuettler, Juergen, Scudeller, Luigia, Serre, Patricia, Silvio, Domenick, Sliz, Piotr, Son, Jiyeon, Sonday, Charles, Tan, Bryce Wq, Tan, Byorn Wl, Tanni, Suzana, Terriza Torres, Ana, Tibollo, Valentina, Torti, Carlo, Trecarichi, Enrico, Tseng, Yi-Ju, Vallejos, Andrew, Varoquaux, Gael, Vie, Jill-Jênn, Vitacca, Michele, Wagholikar, Kavishwar, Waitman, Lemuel, Wassermann, Demian, William, Yuan, Xia, Zongqi, Yehya, Nadir, Zambelli, Alberto, Zhang, Harrison, Zucco, Chiara, Service d'informatique médicale et biostatistiques [CHU Necker], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Health data- and model- driven Knowledge Acquisition (HeKA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), UFR Médecine [Santé] - Université Paris Cité (UFR Médecine UPCité), Université Paris Cité (UPCité), Dr Bourgeois was funded by a grant from the Burroughs Wellcome Fund and supported by the Harvard-MIT Center for Regulatory Science. Mr Keller was funded by grant 5T32HG002295-18 from the National Human Genome Research Institute (NHGRI). Dr Aronow was funded by grant U24 HL148865 from the National Heart, Lung, and Blood Institute (NHLBI). Ms García Barrio was supported by grant PI18/00981 from the Carlos III Health Institute. Dr Gehlenborg was funded by grant T15 LM007092 from the NIH National Library of Medicine. Dr Geva was funded by grant K12 HD047349 from the NIH and Eunice Kennedy Shriver National Institute of Child Health and Human Development. Dr Hanauer was funded by grant UL1TR002240 from the National Center for Advancing Translational Sciences (NCATS). Drs Klann and Murphy were funded by grant 5UL1TR001857-05 from the NCATS and grant 5R01HG009174-04 from the NHGRI. Dr Luo was funded by grant R01LM013337 from the NLM. Mr Patel was funded by grant UL1TR002366 from the NCATS. Dr Gutiérrez-Sacristán was funded by grants K23HL148394 and L40HL148910 from the NIH NHLBI and grant UL1TR001420 from the NIH NCATS. Dr Visweswaran was funded by grant R01LM012095 from the NLM and grant UL1TR001857 from the NCATS. Dr Weber was supported by grants UL1TR002541 and UL1TR000005 from the NIH-NCATS, and grant R01LM013345 from the NLM., CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université de Paris - UFR Médecine Paris Centre [Santé] (UP Médecine Paris Centre), Université de Paris (UP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPC)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPC), Université Paris Cité - UFR Médecine Paris Centre [Santé] (UPC Médecine Paris Centre), and Université Paris Cité (UPC)
Subjects: medicine.medical_specialty, MESH: Pandemics, education, Health Informatics, MESH: Global Health, MESH: Hospitalization, Procalcitonin, 03 medical and health sciences, 0302 clinical medicine, 030225 pediatrics, Internal medicine, MESH: Child, Epidemiology, medicine, Infection control, MESH: COVID-19, MESH: SARS-CoV-2, 030212 general & internal medicine, health care economics and organizations, MESH: Electronic Health Records, Original Investigation, MESH: Adolescent, Disease surveillance, MESH: Humans, business.industry, Research, MESH: Infant, Newborn, MESH: Child, Preschool, Retrospective cohort study, MESH: Retrospective Studies, General Medicine, medicine.disease, MESH: Infant, MESH: Male, 3. Good health, Online Only, Respiratory failure, Viral pneumonia, Cohort, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH: Female
Abstract: This cohort study aims to describe international hospitalization trends and key epidemiological and clinical features of children and youth with COVID-19., Key Points Question What are international trends in hospitalizations for children and youth with SARS-CoV-2, and what are the epidemiological and clinical features of these patients? Findings This cohort study of 671 children and youth found discrete surges in hospitalizations with variable trends and timing across countries. Common complications included cardiac arrhythmias and viral pneumonia, and laboratory findings included elevations in markers of inflammation and abnormalities of coagulation; few children and youth were treated with medications directed specifically at SARS-CoV-2. Meaning These findings suggest large-scale informatics-based approaches used to incorporate electronic health record data across health care systems can provide an efficient source of information to monitor disease activity and define epidemiological and clinical features of pediatric patients hospitalized with SARS-CoV-2 infections., Importance Additional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children and youth and inform infection prevention and clinical treatment of pediatric patients. Objective To describe international hospitalization trends and key epidemiological and clinical features of children and youth with COVID-19. Design, Setting, and Participants This retrospective cohort study included pediatric patients hospitalized between February 2 and October 10, 2020. Patient-level electronic health record (EHR) data were collected across 27 hospitals in France, Germany, Spain, Singapore, the UK, and the US. Patients younger than 21 years who tested positive for COVID-19 and were hospitalized at an institution participating in the Consortium for Clinical Characterization of COVID-19 by EHR were included in the study. Main Outcomes and Measures Patient characteristics, clinical features, and medication use. Results There were 347 males (52%; 95% CI, 48.5-55.3) and 324 females (48%; 95% CI, 44.4-51.3) in this study’s cohort. There was a bimodal age distribution, with the greatest proportion of patients in the 0- to 2-year (199 patients [30%]) and 12- to 17-year (170 patients [25%]) age range. Trends in hospitalizations for 671 children and youth found discrete surges with variable timing across 6 countries. Data from this cohort mirrored national-level pediatric hospitalization trends for most countries with available data, with peaks in hospitalizations during the initial spring surge occurring within 23 days in the national-level and 4CE data. A total of 27 364 laboratory values for 16 laboratory tests were analyzed, with mean values indicating elevations in markers of inflammation (C-reactive protein, 83 mg/L; 95% CI, 53-112 mg/L; ferritin, 417 ng/mL; 95% CI, 228-607 ng/mL; and procalcitonin, 1.45 ng/mL; 95% CI, 0.13-2.77 ng/mL). Abnormalities in coagulation were also evident (D-dimer, 0.78 ug/mL; 95% CI, 0.35-1.21 ug/mL; and fibrinogen, 477 mg/dL; 95% CI, 385-569 mg/dL). Cardiac troponin, when checked (n = 59), was elevated (0.032 ng/mL; 95% CI, 0.000-0.080 ng/mL). Common complications included cardiac arrhythmias (15.0%; 95% CI, 8.1%-21.7%), viral pneumonia (13.3%; 95% CI, 6.5%-20.1%), and respiratory failure (10.5%; 95% CI, 5.8%-15.3%). Few children were treated with COVID-19–directed medications. Conclusions and Relevance This study of EHRs of children and youth hospitalized for COVID-19 in 6 countries demonstrated variability in hospitalization trends across countries and identified common complications and laboratory abnormalities in children and youth with COVID-19 infection. Large-scale informatics-based approaches to integrate and analyze data across health care systems complement methods of disease surveillance and advance understanding of epidemiological and clinical features associated with COVID-19 in children and youth.
Published: 2021

23. Determinants of enhanced vulnerability to COVID-19 in UK cancer patients: a European Study

Author: Pinato, David J., Scotti, Lorenza, Gennari, Alessandra, Colomba-Blameble, Emeline, Dolly, Saoirse, Loizidou, Angela, Chester, John, Mukherjee, Uma, Zambelli, Alberto, Aguilar-Company, Juan, Bower, Mark, Galazi, Myria, Salazar, Ramon, Bertuzzi, Alexia, Brunet, Joan, Mesia, Ricard, Sita-Lumsden, Ailsa, Colomba, Johann, Pommeret, Fanny, Seguí, Elia, Biello, Federica, Generali, Daniele, Grisanti, Salvatore, Rizzo, Gianpiero, Libertini, Michela, Moss, Charlotte, Evans, Joanne S., Russell, Beth, Wuerstlein, Rachel, Vincenzi, Bruno, Bertulli, Rossella, Ottaviani, Diego, Liñan, Raquel, Marrari, Andrea, Carmona-García, M. Carmen, Sng, Christopher CT., Tondini, Carlo, Mirallas, Oriol, Tovazzi, Valeria, Fotia, Vittoria, Cruz, Claudia Andrea, Saoudi-Gonzalez, Nadia, Felip, Eudald, Roqué Lloveras, Ariadna, Lee, Alvin J.X., Newsom-Davis, Thomas, Sharkey, Rachel, Chung, Chris, García-Illescas, David, Reyes, Roxana, Sophia Wong, Yien Ning, Ferrante, Daniela, Marco-Hernández, Javier, Ruiz-Camps, Isabel, Gaidano, Gianluca, Patriarca, Andrea, Sureda, Anna, Martinez-Vila, Clara, Sanchez de Torre, Ana, Rimassa, Lorenza, Chiudinelli, Lorenzo, Franchi, Michela, Krengli, Marco, Santoro, Armando, Prat, Aleix, Tabernero, Josep, Van Hemelrijck, Mieke, Diamantis, Nikolaos, and Cortellini, Alessio
Subjects: Europe, SARS-CoV-2, COVID-19, cancer, UK, Mortality, Original Research
Abstract: Background Despite high contagiousness and rapid spread, SARS-CoV-2 has led to heterogeneous outcomes across affected nations. Within Europe, the United Kingdom (UK) is the most severely affected country, with a death toll in excess of 100.000 as of January 2021. We aimed to compare the national impact of COVID-19 on the risk of death in UK cancer patients versus those in continental Europe (EU). Methods We performed a retrospective analysis of the OnCovid study database, a European registry of cancer patients consecutively diagnosed with COVID-19 in 27 centres from February 27 to September 10, 2020. We analysed case fatality rates and risk of death at 30 days and 6 months stratified by region of origin (UK versus EU). We compared patient characteristics at baseline, including oncological and COVID-19 specific therapy across UK and EU cohorts and evaluated the association of these factors with the risk adverse outcome in multivariable Cox regression models. Findings Compared to EU (n=924), UK patients (n=468) were characterised by higher case fatality rates (40.38% versus 26.5%, p
Published: 2021

24. Determinants of enhanced vulnerability to coronavirus disease 2019 in UK patients with cancer: a European study

Author: Pinato, David J., primary, Scotti, Lorenza, additional, Gennari, Alessandra, additional, Colomba-Blameble, Emeline, additional, Dolly, Saoirse, additional, Loizidou, Angela, additional, Chester, John, additional, Mukherjee, Uma, additional, Zambelli, Alberto, additional, Aguilar-Company, Juan, additional, Bower, Mark, additional, Galazi, Myria, additional, Salazar, Ramon, additional, Bertuzzi, Alexia, additional, Brunet, Joan, additional, Mesia, Ricard, additional, Sita-Lumsden, Ailsa, additional, Colomba, Johann, additional, Pommeret, Fanny, additional, Seguí, Elia, additional, Biello, Federica, additional, Generali, Daniele, additional, Grisanti, Salvatore, additional, Rizzo, Gianpiero, additional, Libertini, Michela, additional, Moss, Charlotte, additional, Evans, Joanne S., additional, Russell, Beth, additional, Wuerstlein, Rachel, additional, Vincenzi, Bruno, additional, Bertulli, Rossella, additional, Ottaviani, Diego, additional, Liñan, Raquel, additional, Marrari, Andrea, additional, Carmona-García, M.C., additional, Sng, Christopher. C.T., additional, Tondini, Carlo, additional, Mirallas, Oriol, additional, Tovazzi, Valeria, additional, Fotia, Vittoria, additional, Cruz, Claudia A., additional, Saoudi-Gonzalez, Nadia, additional, Felip, Eudald, additional, R. Lloveras, Ariadna, additional, Lee, Alvin. J.X., additional, Newsom-Davis, Thomas, additional, Sharkey, Rachel, additional, Chung, Chris, additional, García-Illescas, David, additional, Reyes, Roxana, additional, Sophia Wong, Yien N., additional, Ferrante, Daniela, additional, Marco-Hernández, Javier, additional, Ruiz-Camps, Isabel, additional, Gaidano, Gianluca, additional, Patriarca, Andrea, additional, Sureda, Anna, additional, Martinez-Vila, Clara, additional, Sanchez de Torre, Ana, additional, Rimassa, Lorenza, additional, Chiudinelli, Lorenzo, additional, Franchi, Michela, additional, Krengli, Marco, additional, Santoro, Armando, additional, Prat, Aleix, additional, Tabernero, Josep, additional, V. Hemelrijck, Mieke, additional, Diamantis, Nikolaos, additional, and Cortellini, Alessio, additional
Published: 2021
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25. sj-docx-1-tam-10.1177_17588359211053416 �� Supplemental material for COVID-19 in breast cancer patients: a subanalysis of the OnCovid registry

Author: Garrig��s, Laia, Saura, Cristina, Martinez-Vila, Clara, Zambelli, Alberto, Bower, Mark, Pistilli, Barbara, Lambertini, Matteo, Ottaviani, Diego, Diamantis, Nikolaos, Lumsden, Ailsa, Pernas, Sonia, Generali, Daniele, Segu��, Elia, Vi��as, Gemma, Felip, Eudald, Sanchez, Ana, Rizzo, Gianpiero, Santoro, Armando, Cortellini, Alessio, Perone, Ylenia, Chester, John, Iglesias, Maria, Betti, Marta, Vincenzi, Bruno, Libertini, Michela, Mazzoni, Francesca, Zoratto, Federica, Berardi, Rossana, Guida, Annalisa, Wuerstlein, Rachel, Loizidou, Angela, Sharkey, Rachel, Aguilar Company, Juan, Matas, Marta, Saggia, Chiara, Chiudinelli, Lorenzo, Colomba-Blameble, Emeline, Galazi, Myria, Mukherjee, Uma, Van Hemelrijck, Mieke, Marin, Mar, Strina, Carla, Prat, Aleix, Pla, Helena, Ciruelos, Eva Maria, Bertuzzi, Alexia, del Mastro, Lucia, Porzio, Giampiero, Newsom-Davis, Thomas, Ruiz, Isabel, Delany, Maria Belen, Krengli, Marco, Fotia, Vittoria, Viansone, Alessandro, Chopra, Neha, Romeo, Margarita, Salazar, Ramon, Perez, Ignacio, d��Avanzo, Francesca, Franchi, Michela, Milani, Manuela, Pommeret, Fanny, Tucci, Marco, Pedrazzoli, Paolo, Harbeck, Nadia, Ferrante, Daniela, Pinato, David J., and Gennari, Alessandra
Subjects: 110203 Respiratory Diseases, FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified, 111299 Oncology and Carcinogenesis not elsewhere classified
Abstract: Supplemental material, sj-docx-1-tam-10.1177_17588359211053416 for COVID-19 in breast cancer patients: a subanalysis of the OnCovid registry by Laia Garrig��s, Cristina Saura, Clara Martinez-Vila, Alberto Zambelli, Mark Bower, Barbara Pistilli, Matteo Lambertini, Diego Ottaviani, Nikolaos Diamantis, Ailsa Lumsden, Sonia Pernas, Daniele Generali, Elia Segu��, Gemma Vi��as, Eudald Felip, Ana Sanchez, Gianpiero Rizzo, Armando Santoro, Alessio Cortellini, Ylenia Perone, John Chester, Maria Iglesias, Marta Betti, Bruno Vincenzi, Michela Libertini, Francesca Mazzoni, Federica Zoratto, Rossana Berardi, Annalisa Guida, Rachel Wuerstlein, Angela Loizidou, Rachel Sharkey, Juan Aguilar Company, Marta Matas, Chiara Saggia, Lorenzo Chiudinelli, Emeline Colomba-Blameble, Myria Galazi, Uma Mukherjee, Mieke Van Hemelrijck, Mar Marin, Carla Strina, Aleix Prat, Helena Pla, Eva Maria Ciruelos, Alexia Bertuzzi, Lucia del Mastro, Giampiero Porzio, Thomas Newsom-Davis, Isabel Ruiz, Maria Belen Delany, Marco Krengli, Vittoria Fotia, Alessandro Viansone, Neha Chopra, Margarita Romeo, Ramon Salazar, Ignacio Perez, Francesca d��Avanzo, Michela Franchi, Manuela Milani, Fanny Pommeret, Marco Tucci, Paolo Pedrazzoli, Nadia Harbeck, Daniela Ferrante, David J. Pinato and Alessandra Gennari in Therapeutic Advances in Medical Oncology
Published: 2021
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26. Systemic pro-inflammatory response identifies patients with cancer with adverse outcomes from SARS-CoV-2 infection: the OnCovid Inflammatory Score

Author: Dettorre, Gino M., Dolly, Saoirse, Loizidou, Angela, Chester, John, Jackson, Amanda, Mukherjee, Uma, Zambelli, Alberto, Aguilar Company, Juan, Bower, Mark, Sng, Christopher C. T., Salazar Soler, Ramón, Bertuzzi, Alexia, Brunet, Joan, Mesia, Ricard, Sita-Lumsden, Ailsa, Seguí, Elia, Biello, Federica, Generali, Daniele, Grisanti, Salvatore, Seeva, Pavetha, Rizzo, Gianpiero, Libertini, Michela, Maconi, Antonio, Moss, Charlotte, Russell, Beth, Harbeck, Nadia, Vincenzi, Bruno, Bertulli, Rossella, Ottaviani, Diego, Liñan, Raquel, Marrari, Andrea, Carmona García, M. Carmen, Chopra, Neha, Tondini, Carlo Alberto, Mirallas, Oriol, Tovazzi, Valeria, Fotia, Vittoria, Cruz, Claudia Andrea, Saoudi González, Nadia, Felip, Eudald, Roqué, Ariadna, Lee, Alvin J. X., Newsom-Davis, Tom, García Illescas, David, Reyes, Roxana, Wong, Yien Ning Sophia, Ferrante, Daniela, Scotti, Lorenza, Marco Hernández, Javier, Ruiz Camps, Isabel, Patriarca, Andrea, Rimassa, Lorenza, Chiudinelli, Lorenzo, Franchi, Michela, Santoro, Armando, Prat Aparicio, Aleix, Gennari, Alessandra, Van Hemelrijck, Mieke, Tabernero Caturla, Josep, Diamantis, Nikolaos, Pinato, David J., OnCovid study group, Dettorre, G. M., Dolly, S., Loizidou, A., Chester, J., Jackson, A., Mukherjee, U., Zambelli, A., Aguilar-Company, J., Bower, M., Sng, C. C. T., Salazar, R., Bertuzzi, A., Brunet, J., Mesia, R., Sita-Lumsden, A., Segui, E., Biello, F., Generali, D., Grisanti, S., Seeva, P., Rizzo, G., Libertini, M., Maconi, A., Moss, C., Russell, B., Harbeck, N., Vincenzi, B., Bertulli, R., Ottaviani, D., Linan, R., Marrari, A., Carmen Carmona-Garcia, M., Chopra, N., Tondini, C. A., Mirallas, O., Tovazzi, V., Fotia, V., Cruz, C. A., Saoudi-Gonzalez, N., Felip, E., Roque, A., Lee, A. J. X., Newsom-Davis, T., Garcia-Illescas, D., Reyes, R., Wong, Y. N. S., Ferrante, D., Scotti, L., Marco-Hernandez, J., Ruiz-Camps, I., Patriarca, A., Rimassa, L., Chiudinelli, L., Franchi, M., Santoro, A., Prat, A., Gennari, A., Van Hemelrijck, M., Tabernero, J., Diamantis, N., Pinato, D. J., Wellcome Trust, Institut Català de la Salut, [Dettorre GM] Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK. [Dolly S] Medical Oncology, Guy’s and St Thomas’ NHS Foundation Trust (GSTT), London, UK. [Loizidou A] Department of Infectious Diseases, Internal Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium. [Chester J] Medical Oncology, School of Medicine, Cardiff University, Cardiff, UK. Medical Oncology, Velindre Cancer Centre, Cardiff, UK. [Jackson A] Clinical Trials, Velindre Cancer Centre, Cardiff, UK. [Mukherjee U] Medical Oncology, Barts Health NHS Trust, London, UK. [Aguilar-Company J] Servei d’Oncologia Mèdica, Vall d'Hebron Hospital Universitari, Barcelona, Spain. Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Servei de Malalties Infeccioses, Vall d'Hebron Hospital Universitari, Barcelona, Spain. [Mirallas O, Saoudi-Gonzalez N, García-Illescas D] Servei d’Oncologia Mèdica, Vall d'Hebron Hospital Universitari, Barcelona, Spain. Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Ruiz-Camps I] Servei de Malalties Infeccioses, Vall d'Hebron Hospital Universitari, Barcelona, Spain. [Tabernero J] Servei d’Oncologia Mèdica, Vall d'Hebron Hospital Universitari, Barcelona, Spain. Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. IOB-Quiron, UVic-UCC, Barcelona, Spain, and Vall d'Hebron Barcelona Hospital Campus
Subjects: Male, 0301 basic medicine, Oncology, Cancer Research, Comorbidity, Systemic inflammation, Otros calificadores::Otros calificadores::/complicaciones [Otros calificadores], COVID-19 Testing, 0302 clinical medicine, Neoplasms, Immunotherapy Biomarkers, virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], 80 and over, Immunology and Allergy, Medicine, Hypoalbuminemia, Young adult, Càncer, Multivariate Analysi, RC254-282, COVID-19 (Malaltia) - Complicacions, Cancer, Aged, 80 and over, OnCovid study group, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], Middle Aged, Prognosis, Inflamació, Systemic Inflammatory Response Syndrome, 030220 oncology & carcinogenesis, Cohort, Pathological Conditions, Signs and Symptoms::Pathologic Processes::Inflammation::Systemic Inflammatory Response Syndrome [DISEASES], Molecular Medicine, Female, medicine.symptom, Life Sciences & Biomedicine, Human, Adult, medicine.medical_specialty, Prognosi, Càncer - Epidemiologia, Immunology, neoplasias [ENFERMEDADES], inflammation mediator, Young Adult, 03 medical and health sciences, Internal medicine, Humans, afecciones patológicas, signos y síntomas::procesos patológicos::inflamación::síndrome de respuesta inflamatoria sistémica [ENFERMEDADES], Aged, Pharmacology, Science & Technology, business.industry, SARS-CoV-2, COVID-19, medicine.disease, inflammation, inflammation mediators, Blood Cell Count, Multivariate Analysis, Neoplasms [DISEASES], Systemic inflammatory response syndrome, 030104 developmental biology, Neoplasm, Lymphocytopenia, business, Other subheadings::Other subheadings::/complications [Other subheadings]
Abstract: Coronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Inflamació; Mediadors d'inflamació Coronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Inflamación; Mediadores de la inflamación Coronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Inflammation; Inflammation mediators Background Patients with cancer are particularly susceptible to SARS-CoV-2 infection. The systemic inflammatory response is a pathogenic mechanism shared by cancer progression and COVID-19. We investigated systemic inflammation as a driver of severity and mortality from COVID-19, evaluating the prognostic role of commonly used inflammatory indices in SARS-CoV-2-infected patients with cancer accrued to the OnCovid study. Methods In a multicenter cohort of SARS-CoV-2-infected patients with cancer in Europe, we evaluated dynamic changes in neutrophil:lymphocyte ratio (NLR); platelet:lymphocyte ratio (PLR); Prognostic Nutritional Index (PNI), renamed the OnCovid Inflammatory Score (OIS); modified Glasgow Prognostic Score (mGPS); and Prognostic Index (PI) in relation to oncological and COVID-19 infection features, testing their prognostic potential in independent training (n=529) and validation (n=542) sets. Results We evaluated 1071 eligible patients, of which 625 (58.3%) were men, and 420 were patients with malignancy in advanced stage (39.2%), most commonly genitourinary (n=216, 20.2%). 844 (78.8%) had ≥1 comorbidity and 754 (70.4%) had ≥1 COVID-19 complication. NLR, OIS, and mGPS worsened at COVID-19 diagnosis compared with pre-COVID-19 measurement (p
Published: 2021

27. Systemic pro-inflammatory response identifies patients with cancer with adverse outcomes from SARS-CoV-2 infection: the OnCovid Inflammatory Score

Author: Dettorre, Gino M, primary, Dolly, Saoirse, additional, Loizidou, Angela, additional, Chester, John, additional, Jackson, Amanda, additional, Mukherjee, Uma, additional, Zambelli, Alberto, additional, Aguilar-Company, Juan, additional, Bower, Mark, additional, Sng, Christopher C T, additional, Salazar, Ramon, additional, Bertuzzi, Alexia, additional, Brunet, Joan, additional, Mesia, Ricard, additional, Sita-Lumsden, Ailsa, additional, Seguí, Elia, additional, Biello, Federica, additional, Generali, Daniele, additional, Grisanti, Salvatore, additional, Seeva, Pavetha, additional, Rizzo, Gianpiero, additional, Libertini, Michela, additional, Maconi, Antonio, additional, Moss, Charlotte, additional, Russell, Beth, additional, Harbeck, Nadia, additional, Vincenzi, Bruno, additional, Bertulli, Rossella, additional, Ottaviani, Diego, additional, Liñan, Raquel, additional, Marrari, Andrea, additional, Carmona-García, M Carmen, additional, Chopra, Neha, additional, Tondini, Carlo Alberto, additional, Mirallas, Oriol, additional, Tovazzi, Valeria, additional, Fotia, Vittoria, additional, Cruz, Claudia Andrea, additional, Saoudi-Gonzalez, Nadia, additional, Felip, Eudald, additional, Roqué, Ariadna, additional, Lee, Alvin J X, additional, Newsom-Davis, Tom, additional, García-Illescas, David, additional, Reyes, Roxana, additional, Wong, Yien Ning Sophia, additional, Ferrante, Daniela, additional, Scotti, Lorenza, additional, Marco-Hernández, Javier, additional, Ruiz-Camps, Isabel, additional, Patriarca, Andrea, additional, Rimassa, Lorenza, additional, Chiudinelli, Lorenzo, additional, Franchi, Michela, additional, Santoro, Armando, additional, Prat, Aleix, additional, Gennari, Alessandra, additional, Van Hemelrijck, Mieke, additional, Tabernero, Josep, additional, Diamantis, Nikolaos, additional, and Pinato, David J, additional
Published: 2021
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28. Prevalence and Clinical Impact of SARS-CoV-2 Silent Carriers Among Actively Treated Patients with Cancer During the COVID-19 Pandemic

Author: Zambelli, Alberto, primary, Chiudinelli, Lorenzo, additional, Fotia, Vittoria, additional, Negrini, Giorgia, additional, Bosetti, Tommaso, additional, Callegaro, Annapaola, additional, Di Croce, Andrea, additional, Caremoli, Elena Rota, additional, Moro, Cecilia, additional, Milesi, Laura, additional, Poletti, Paola, additional, Tasca, Cristina, additional, Mandalà, Mario, additional, Merelli, Barbara, additional, Mosconi, Stefania, additional, Arnoldi, Ermenegildo, additional, Bettini, Anna, additional, Bonomi, Lucia, additional, Messina, Caterina, additional, Ghilardi, Laura, additional, Chirco, Alessandra, additional, Maracino, Michela, additional, and Tondini, Carlo, additional
Published: 2021
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29. Specialist palliative and end-of-life care for patients with cancer and SARS-CoV-2 infection: a European perspective

Author: Soosaipillai, Gehan, primary, Wu, Anjui, additional, Dettorre, Gino M, additional, Diamantis, Nikolaos, additional, Chester, John, additional, Moss, Charlotte, additional, Aguilar-Company, Juan, additional, Bower, Mark, additional, Sng, Christopher CT, additional, Salazar, Ramon, additional, Brunet, Joan, additional, Jones, Eleanor, additional, Mesia, Ricard, additional, Jackson, Amanda, additional, Mukherjee, Uma, additional, Sita-Lumsden, Ailsa, additional, Seguí, Elia, additional, Ottaviani, Diego, additional, Carbó, Anna, additional, Benafif, Sarah, additional, Würstlein, Rachel, additional, Carmona, Carme, additional, Chopra, Neha, additional, Cruz, Claudia Andrea, additional, Swallow, Judith, additional, Saoudi, Nadia, additional, Felip, Eudald, additional, Galazi, Myria, additional, Garcia-Fructuoso, Isabel, additional, Lee, Alvin J. X., additional, Newsom-Davis, Thomas, additional, Wong, Yien Ning Sophia, additional, Sureda, Anna, additional, Maluquer, Clara, additional, Ruiz-Camps, Isabel, additional, Cabirta, Alba, additional, Prat, Aleix, additional, Loizidou, Angela, additional, Gennari, Alessandra, additional, Ferrante, Daniela, additional, Tabernero, Josep, additional, Russell, Beth, additional, Van Hemelrijck, Mieke, additional, Dolly, Saoirse, additional, Hulbert-Williams, Nicholas J, additional, Pinato, David J, additional, Mollà, Meritxell, additional, Reyes, Roxana, additional, Marco-Hernández, Javier, additional, Bruna, Riccardo, additional, Biello, Federica, additional, Patriarca, Andrea, additional, Zambelli, Alberto, additional, Tondini, Carlo, additional, Fotia, Vittoria, additional, Chiudinelli, Lorenzo, additional, Franchi, Michela, additional, Generali, Daniele, additional, Grisanti, Salvatore, additional, Tovazzi, Valeria, additional, Bertuzzi, Alexia, additional, Marrari, Andrea, additional, Seeva, Pavetha, additional, Dileo, Palma, additional, Rizzo, Gianpiero, additional, Libertini, Michela, additional, Maconi, Antonio, additional, Betti, Marta, additional, Provenzano, Salvatore, additional, Harbeck, Nadia, additional, Vincenzi, Bruno, additional, Bertulli, Rossella, additional, Liñan, Raquel, additional, Roqué, Ariadna, additional, Mirallas, Oriol, additional, García-Illescas, David, additional, Scotti, Lorenza, additional, Dalla Pria, Alessia, additional, D’Avanzo, Francesca, additional, Martinez, Maria, additional, Evans, Joanne S, additional, Sharkey, Rachel, additional, Rimassa, Lorenza, additional, Santoro, Armando, additional, Gaidano, Gianluca, additional, and Izuzquiza, Macarena, additional
Published: 2021
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30. COVID-19 in breast cancer patients: a subanalysis of the OnCovid registry

Author: Garrigós, Laia, primary, Saura, Cristina, additional, Martinez-Vila, Clara, additional, Zambelli, Alberto, additional, Bower, Mark, additional, Pistilli, Barbara, additional, Lambertini, Matteo, additional, Ottaviani, Diego, additional, Diamantis, Nikolaos, additional, Lumsden, Ailsa, additional, Pernas, Sonia, additional, Generali, Daniele, additional, Seguí, Elia, additional, Viñas, Gemma, additional, Felip, Eudald, additional, Sanchez, Ana, additional, Rizzo, Gianpiero, additional, Santoro, Armando, additional, Cortellini, Alessio, additional, Perone, Ylenia, additional, Chester, John, additional, Iglesias, Maria, additional, Betti, Marta, additional, Vincenzi, Bruno, additional, Libertini, Michela, additional, Mazzoni, Francesca, additional, Zoratto, Federica, additional, Berardi, Rossana, additional, Guida, Annalisa, additional, Wuerstlein, Rachel, additional, Loizidou, Angela, additional, Sharkey, Rachel, additional, Aguilar Company, Juan, additional, Matas, Marta, additional, Saggia, Chiara, additional, Chiudinelli, Lorenzo, additional, Colomba-Blameble, Emeline, additional, Galazi, Myria, additional, Mukherjee, Uma, additional, Van Hemelrijck, Mieke, additional, Marin, Mar, additional, Strina, Carla, additional, Prat, Aleix, additional, Pla, Helena, additional, Ciruelos, Eva Maria, additional, Bertuzzi, Alexia, additional, del Mastro, Lucia, additional, Porzio, Giampiero, additional, Newsom-Davis, Thomas, additional, Ruiz, Isabel, additional, Delany, Maria Belen, additional, Krengli, Marco, additional, Fotia, Vittoria, additional, Viansone, Alessandro, additional, Chopra, Neha, additional, Romeo, Margarita, additional, Salazar, Ramon, additional, Perez, Ignacio, additional, d’Avanzo, Francesca, additional, Franchi, Michela, additional, Milani, Manuela, additional, Pommeret, Fanny, additional, Tucci, Marco, additional, Pedrazzoli, Paolo, additional, Harbeck, Nadia, additional, Ferrante, Daniela, additional, Pinato, David J., additional, and Gennari, Alessandra, additional
Published: 2021
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31. Clinical Portrait of the SARS-CoV-2 Epidemic in European Patients with Cancer

Author: Pinato, David J., primary, Zambelli, Alberto, additional, Aguilar-Company, Juan, additional, Bower, Mark, additional, Sng, Christopher C.T., additional, Salazar, Ramon, additional, Bertuzzi, Alexia, additional, Brunet, Joan, additional, Mesia, Ricard, additional, Seguí, Elia, additional, Biello, Federica, additional, Generali, Daniele, additional, Grisanti, Salvatore, additional, Rizzo, Gianpiero, additional, Libertini, Michela, additional, Maconi, Antonio, additional, Harbeck, Nadia, additional, Vincenzi, Bruno, additional, Bertulli, Rossella, additional, Ottaviani, Diego, additional, Carbó, Anna, additional, Bruna, Riccardo, additional, Benafif, Sarah, additional, Marrari, Andrea, additional, Wuerstlein, Rachel, additional, Carmona-Garcia, M. Carmen, additional, Chopra, Neha, additional, Tondini, Carlo, additional, Mirallas, Oriol, additional, Tovazzi, Valeria, additional, Betti, Marta, additional, Provenzano, Salvatore, additional, Fotia, Vittoria, additional, Cruz, Claudia Andrea, additional, Dalla Pria, Alessia, additional, D'Avanzo, Francesca, additional, Evans, Joanne S., additional, Saoudi-Gonzalez, Nadia, additional, Felip, Eudald, additional, Galazi, Myria, additional, Garcia-Fructuoso, Isabel, additional, Lee, Alvin J.X., additional, Newsom-Davis, Thomas, additional, Patriarca, Andrea, additional, García-Illescas, David, additional, Reyes, Roxana, additional, Dileo, Palma, additional, Sharkey, Rachel, additional, Wong, Yien Ning Sophia, additional, Ferrante, Daniela, additional, Marco-Hernández, Javier, additional, Sureda, Anna, additional, Maluquer, Clara, additional, Ruiz-Camps, Isabel, additional, Gaidano, Gianluca, additional, Rimassa, Lorenza, additional, Chiudinelli, Lorenzo, additional, Izuzquiza, Macarena, additional, Cabirta, Alba, additional, Franchi, Michela, additional, Santoro, Armando, additional, Prat, Aleix, additional, Tabernero, Josep, additional, Gennari, Alessandra, additional, Avanzi, Gian Carlo, additional, Bellan, Mattia, additional, Castello, Luigi Mario, additional, Martinez, Maria, additional, Mollà, Meritxell, additional, Pirisi, Mario, additional, Scotti, Lorenza, additional, and Swallow, Judith, additional
Published: 2020
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32. Time-Dependent COVID-19 Mortality in Patients With Cancer: An Updated Analysis of the OnCovid Registry

Author: Pinato, David J., Patel, Meera, Scotti, Lorenza, Colomba, Emeline, Dolly, Saoirse, Loizidou, Angela, Chester, John, Mukherjee, Uma, Zambelli, Alberto, Dalla Pria, Alessia, Aguilar-Company, Juan, Bower, Mark, Salazar, Ramon, Bertuzzi, Alexia, Brunet, Joan, Lambertini, Matteo, Tagliamento, Marco, Pous, Anna, Sita-Lumsden, Ailsa, Srikandarajah, Krishnie, Colomba, Johann, Pommeret, Fanny, Seguí, Elia, Generali, Daniele, Grisanti, Salvatore, Pedrazzoli, Paolo, Rizzo, Gianpiero, Libertini, Michela, Moss, Charlotte, Evans, Joanne S., Russell, Beth, Harbeck, Nadia, Vincenzi, Bruno, Biello, Federica, Bertulli, Rossella, Ottaviani, Diego, Liñan, Raquel, Rossi, Sabrina, Carmona-García, M. Carmen, Tondini, Carlo, Fox, Laura, Baggi, Alice, Fotia, Vittoria, Parisi, Alessandro, Porzio, Giampero, Queirolo, Paola, Cruz, Claudia Andrea, Saoudi-Gonzalez, Nadia, Felip, Eudald, Roqué Lloveras, Ariadna, Newsom-Davis, Thomas, Sharkey, Rachel, Roldán, Elisa, Reyes, Roxana, Zoratto, Federica, Earnshaw, Irina, Ferrante, Daniela, Marco-Hernández, Javier, Ruiz-Camps, Isabel, Gaidano, Gianluca, Patriarca, Andrea, Bruna, Riccardo, Sureda, Anna, Martinez-Vila, Clara, Sanchez de Torre, Ana, Berardi, Rossana, Giusti, Raffaele, Mazzoni, Francesca, Guida, Annalisa, Rimassa, Lorenza, Chiudinelli, Lorenzo, Franchi, Michela, Krengli, Marco, Santoro, Armando, Prat, Aleix, Tabernero, Josep, Van Hemelrijck, Mieke, Diamantis, Nikolaos, Gennari, Alessandra, and Cortellini, Alessio
Abstract: IMPORTANCE: Whether the severity and mortality of COVID-19 in patients with cancer have improved in terms of disease management and capacity is yet to be defined. OBJECTIVE: To test whether severity and mortality from COVID-19 among patients with cancer have improved during the course of the pandemic. DESIGN, SETTING, AND PARTICIPANTS: OnCovid is a European registry that collects data on consecutive patients with solid or hematologic cancer and COVID-19. This multicenter case series study included real-world data from 35 institutions across 6 countries (UK, Italy, Spain, France, Belgium, and Germany). This update included patients diagnosed between February 27, 2020, and February, 14, 2021. Inclusion criteria were confirmed diagnosis of SARS-CoV-2 infection and a history of solid or hematologic cancer. EXPOSURES: SARS-CoV-2 infection. MAIN OUTCOMES AND MEASURES: Deaths were differentiated at 14 days and 3 months as the 2 landmark end points. Patient characteristics and outcomes were compared by stratifying patients across 5 phases (February to March 2020, April to June 2020, July to September 2020, October to December 2020, and January to February 2021) and across 2 major outbreaks (February to June 2020 and July 2020 to February 2021). RESULTS: At data cutoff, 2795 consecutive patients were included, with 2634 patients eligible for analysis (median [IQR] age, 68 [18-77] years ; 52.8% men). Eligible patients demonstrated significant time-dependent improvement in 14-day case-fatality rate (CFR) with estimates of 29.8% (95% CI, 0.26-0.33) for February to March 2020; 20.3% (95% CI, 0.17-0.23) for April to June 2020; 12.5% (95% CI, 0.06-22.90) for July to September 2020; 17.2% (95% CI, 0.15-0.21) for October to December 2020; and 14.5% (95% CI, 0.09-0.21) for January to February 2021 (all P < .001) across the predefined phases. Compared with the second major outbreak, patients diagnosed in the first outbreak were more likely to be 65 years or older (974 of 1626 [60.3%] vs 564 of 1008 [56.1%]; P = .03), have at least 2 comorbidities (793 of 1626 [48.8%] vs 427 of 1008 [42.4%]; P = .001), and have advanced tumors (708 of 1626 [46.4%] vs 536 of 1008 [56.1%]; P < .001). Complications of COVID-19 were more likely to be seen (738 of 1626 [45.4%] vs 342 of 1008 [33.9%]; P < .001) and require hospitalization (969 of 1626 [59.8%] vs 418 of 1008 [42.1%]; P < .001) and anti–COVID-19 therapy (1004 of 1626 [61.7%] vs 501 of 1008 [49.7%]; P < .001) during the first major outbreak. The 14-day CFRs for the first and second major outbreaks were 25.6% (95% CI, 0.23-0.28) vs 16.2% (95% CI, 0.13-0.19; P < .001), respectively. After adjusting for country, sex, age, comorbidities, tumor stage and status, anti–COVID-19 and anticancer therapy, and COVID-19 complications, patients diagnosed in the first outbreak had an increased risk of death at 14 days (hazard ratio [HR], 1.85; 95% CI, 1.47-2.32) and 3 months (HR, 1.28; 95% CI, 1.08-1.51) compared with those diagnosed in the second outbreak. CONCLUSIONS AND RELEVANCE: The findings of this registry-based study suggest that mortality in patients with cancer diagnosed with COVID-19 has improved in Europe; this improvement may be associated with earlier diagnosis, improved management, and dynamic changes in community transmission over time.
Published: 2022
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33. Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data.

Author: VIANI, Natalia, CHIUDINELLI, Lorenzo, TASCA, Cristina, ZAMBELLI, Alberto, BUCALO, Mauro, GHIRARDI, Arianna, BARBARINI, Nicola, SFREDDO, Eleonora, SACCHI, Lucia, TONDINI, Carlo, and BELLAZZI, Riccardo
Abstract: Medical reports often contain a lot of relevant information in the form of free text. To reuse these unstructured texts for biomedical research, it is important to extract structured data from them. In this work, we adapted a previously developed information extraction system to the oncology domain, to process a set of anatomic pathology reports in the Italian language. The information extraction system relies on a domain ontology, which was adapted and refined in an iterative way. The final output was evaluated by a domain expert, with promising results. [ABSTRACT FROM AUTHOR]
Published: 2018
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34. Determinants of enhanced vulnerability to coronavirus disease 2019 in UK patients with cancer: a European study

Author: Elia Seguí, Nadia Saoudi-Gonzalez, Federica Biello, Rachel Wuerstlein, Andrea Marrari, Carlo Tondini, Ramon Salazar, Lorenza Rimassa, Claudia Andrea Cruz, Nikolaos Diamantis, David J. Pinato, Armando Santoro, Salvatore Grisanti, Clara Martinez-Vila, Charlotte Moss, Lorenzo Chiudinelli, Daniele Generali, M. C. Carmona-Garcia, Vittoria Fotia, Alexia Bertuzzi, Ailsa Sita-Lumsden, Angela Loizidou, Christopher C T Sng, Bruno Vincenzi, Alessandra Gennari, Aleix Prat, David García-Illescas, Chris Chung, Fanny Pommeret, Diego Ottaviani, Daniela Ferrante, Ariadna Roqué Lloveras, Joan Brunet, Johann Colomba, Joanne Evans, Uma Mukherjee, Alvin J.X. Lee, Juan Aguilar-Company, Andrea Patriarca, Myria Galazi, Gianluca Gaidano, Javier Marco-Hernández, Eudald Felip, Marco Krengli, Gianpiero Rizzo, Isabel Ruiz-Camps, Thomas Newsom-Davis, Mark Bower, John D. Chester, Saoirse Dolly, Yien N. Sophia Wong, Ricard Mesia, Michela Franchi, Michela Libertini, Alessio Cortellini, Roxana Reyes, Lorenza Scotti, Josep Tabernero, Rossella Bertulli, Oriol Mirallas, Valeria Tovazzi, Emeline Colomba-Blameble, Anna Sureda, Beth Russell, Raquel Liñan, Rachel Sharkey, Mieke Van Hemelrijck, Alberto Zambelli, Ana Sanchez de Torre, Pinato, David J., Scotti, Lorenza, Gennari, Alessandra, Colomba-Blameble, Emeline, Dolly, Saoirse, Loizidou, Angela, Chester, John, Mukherjee, Uma, Zambelli, Alberto, Aguilar-Company, Juan, Bower, Mark, Galazi, Myria, Salazar, Ramon, Bertuzzi, Alexia, Brunet, Joan, Mesia, Ricard, Sita-Lumsden, Ailsa, Colomba, Johann, Pommeret, Fanny, Seguí, Elia, Biello, Federica, Generali, Daniele, Grisanti, Salvatore, Rizzo, Gianpiero, Libertini, Michela, Moss, Charlotte, Evans, Joanne S., Russell, Beth, Wuerstlein, Rachel, Vincenzi, Bruno, Bertulli, Rossella, Ottaviani, Diego, Liñan, Raquel, Marrari, Andrea, Carmona-García, M. C., Sng, Christopher. C. T., Tondini, Carlo, Mirallas, Oriol, Tovazzi, Valeria, Fotia, Vittoria, Cruz, Claudia A., Saoudi-Gonzalez, Nadia, Felip, Eudald, R. Lloveras, Ariadna, Lee, Alvin. J. X., Newsom-Davis, Thoma, Sharkey, Rachel, Chung, Chri, García-Illescas, David, Reyes, Roxana, Sophia Wong, Yien N., Ferrante, Daniela, Marco-Hernández, Javier, Ruiz-Camps, Isabel, Gaidano, Gianluca, Patriarca, Andrea, Sureda, Anna, Martinez-Vila, Clara, Sanchez de Torre, Ana, Rimassa, Lorenza, Chiudinelli, Lorenzo, Franchi, Michela, Krengli, Marco, Santoro, Armando, Prat, Aleix, Tabernero, Josep, V. Hemelrijck, Mieke, Diamantis, Nikolao, and Cortellini, Alessio
Subjects: 0301 basic medicine, Cancer Research, medicine.medical_specialty, medicine.medical_treatment, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Epidemiology, Case fatality rate, medicine, COVID-19, Cancer, Europe, Mortality, SARS-CoV-2, UK, Mechanical ventilation, business.industry, Proportional hazards model, medicine.disease, Comorbidity, Confidence interval, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Cohort, business
Abstract: Background: Despite high contagiousness and rapid spread, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to heterogeneous outcomes across affected nations. Within Europe (EU), the United Kingdom (UK) is the most severely affected country, with a death toll in excess of 100,000 as of January 2021. We aimed to compare the national impact of coronavirus disease 2019 (COVID-19) on the risk of death in UK patients with cancer versus those in continental EU. Methods: We performed a retrospective analysis of the OnCovid study database, a European registry of patients with cancer consecutively diagnosed with COVID-19 in 27 centres from 27th February to 10th September 2020. We analysed case fatality rates and risk of death at 30 days and 6 months stratified by region of origin (UK versus EU). We compared patient characteristics at baseline including oncological and COVID-19-specific therapy across UKand EU cohorts and evaluated the association of these factors with the risk of adverse out-comes in multivariable Cox regression models Findings: Compared with EU (n = 924), UK patients (n = 468) were characterised by higher case fatality rates (40.38% versus 26.5%, p < 0.0001) and higher risk of death at 30 days (haz-ard ratio [HR], 1.64 [95% confidence interval {CI}, 1.36-1.99]) and 6 months after COVID-19 diagnosis (47.64% versus 33.33%; p < 0.0001; HR, 1.59 [95% CI, 1.33-1.88]). UK patients were more often men, were of older age and have more comorbidities than EU counterparts (p < 0.01). Receipt of anticancer therapy was lower in UK than in EU patients (p < 0.001). Despite equal proportions of complicated COVID-19, rates of intensive care admission and use of mechanical ventilation, UK patients with cancer were less likely to receive anti-COVID-19 therapies including corticosteroids, antivirals and inter leukin-6 antagonists (p < 0.0001). Multivariable analyses adjusted for imbalanced prognostic factors confirmed the UK cohort to be characterised by worse risk of death at 30 days and 6 months, indepen-dent of the patient's age, gender, tumour stage and status; number of comorbidities; COVID-19 severity and receipt of anticancer and anti-COVID-19 therapy. Rates of permanent cessa-tion of anticancer therapy after COVID-19 were similar in the UK and EU cohorts. Interpretation: UK patients with cancer have been more severely impacted by the unfolding of the COVID-19 pandemic despite societal risk mitigation factors and rapid deferral of anti-cancer therapy. The increased frailty of UK patients with cancer highlights high-risk groups that should be prioritised for anti-SARS-CoV-2 vaccination. Continued evaluation of long-term outcomes is warranted. (C) 2021 Elsevier Ltd. All rights reserved.
Published: 2021

35. Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study.

Author: Tan BWL, Tan BWQ, Tan ALM, Schriver ER, Gutiérrez-Sacristán A, Das P, Yuan W, Hutch MR, García Barrio N, Pedrera Jimenez M, Abu-El-Rub N, Morris M, Moal B, Verdy G, Cho K, Ho YL, Patel LP, Dagliati A, Neuraz A, Klann JG, South AM, Visweswaran S, Hanauer DA, Maidlow SE, Liu M, Mowery DL, Batugo A, Makoudjou A, Tippmann P, Zöller D, Brat GA, Luo Y, Avillach P, Bellazzi R, Chiovato L, Malovini A, Tibollo V, Samayamuthu MJ, Serrano Balazote P, Xia Z, Loh NHW, Chiudinelli L, Bonzel CL, Hong C, Zhang HG, Weber GM, Kohane IS, Cai T, Omenn GS, Holmes JH, and Ngiam KY
Abstract: Background: While acute kidney injury (AKI) is a common complication in COVID-19, data on post-AKI kidney function recovery and the clinical factors associated with poor kidney function recovery is lacking., Methods: A retrospective multi-centre observational cohort study comprising 12,891 hospitalized patients aged 18 years or older with a diagnosis of SARS-CoV-2 infection confirmed by polymerase chain reaction from 1 January 2020 to 10 September 2020, and with at least one serum creatinine value 1-365 days prior to admission. Mortality and serum creatinine values were obtained up to 10 September 2021., Findings: Advanced age (HR 2.77, 95%CI 2.53-3.04, p < 0.0001), severe COVID-19 (HR 2.91, 95%CI 2.03-4.17, p < 0.0001), severe AKI (KDIGO stage 3: HR 4.22, 95%CI 3.55-5.00, p < 0.0001), and ischemic heart disease (HR 1.26, 95%CI 1.14-1.39, p < 0.0001) were associated with worse mortality outcomes. AKI severity (KDIGO stage 3: HR 0.41, 95%CI 0.37-0.46, p < 0.0001) was associated with worse kidney function recovery, whereas remdesivir use (HR 1.34, 95%CI 1.17-1.54, p < 0.0001) was associated with better kidney function recovery. In a subset of patients without chronic kidney disease, advanced age (HR 1.38, 95%CI 1.20-1.58, p < 0.0001), male sex (HR 1.67, 95%CI 1.45-1.93, p < 0.0001), severe AKI (KDIGO stage 3: HR 11.68, 95%CI 9.80-13.91, p < 0.0001), and hypertension (HR 1.22, 95%CI 1.10-1.36, p = 0.0002) were associated with post-AKI kidney function impairment. Furthermore, patients with COVID-19-associated AKI had significant and persistent elevations of baseline serum creatinine 125% or more at 180 days (RR 1.49, 95%CI 1.32-1.67) and 365 days (RR 1.54, 95%CI 1.21-1.96) compared to COVID-19 patients with no AKI., Interpretation: COVID-19-associated AKI was associated with higher mortality, and severe COVID-19-associated AKI was associated with worse long-term post-AKI kidney function recovery., Funding: Authors are supported by various funders, with full details stated in the acknowledgement section., Competing Interests: Dr Hanauer reported having developed an electronic resource of clinical synonyms, EMERSE, that is licensed by the University of Michigan and receiving a portion of the licensing fees for this resource outside the submitted work. Dr Omenn reported being an early investor and serving on the board of Angion Biomedica Corporation, New York, which has conducted clinical trials of drug candidates for overcoming acute kidney injury following cardiopulmonary surgery or kidney transplantation. The former was terminated early based on unsatisfactory efficacy/adverse effects assessment; the latter had insufficient benefit to warrant proposing a Phase III trial. The company is moving in other directions, to be determined. No further work on kidney is anticipated. Dr Holmes disclosed participation as an NIH/NIDDK T2 Coach R01DK113189. Dr Malovini disclosed being a shareholder of Biomeris s.r.l. Dr Bellazzi reported receiving honoraria from Pfizer, and disclosed being a shareholder of University of Pavia spin-off Biomeris. Dr Klann reports consulting fees from i2b2 tranSMART foundation, for work to enhance open-source data warehouse platform. He reports no direct relationship to this work, except that the data model for analysis in this manuscript was inspired by this platform., (© 2022 Published by Elsevier Ltd.)
Published: 2022
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36. i2b2 to Optimize Patients Enrollment.

Author: Bucalo M, Gabetta M, Chiudinelli L, Larizza C, Bellasi A, Zambelli A, and Barbarini N
Subjects: Humans, Data Warehousing, Information Storage and Retrieval
Abstract: i2b2 data-warehouse could be a useful tool to support the enrollment phase of clinical studies. The aim of this work is to evaluate its performance on two clinical trials. We developed also an i2b2 extension to help in suggesting eligible patients for a study. The work showed good results in terms of ability to implement inclusion/exclusion criteria, but also in terms of identified patients actually enrolled and high number of patients suggested as potentially enrollable.
Published: 2021
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37. International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study.

Author: Weber GM, Hong C, Palmer NP, Avillach P, Murphy SN, Gutiérrez-Sacristán A, Xia Z, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Bellasi A, Benoit V, Beraghi M, Boeker M, Booth J, Bosari S, Bourgeois FT, Brown NW, Bucalo M, Chiovato L, Chiudinelli L, Dagliati A, Devkota B, DuVall SL, Follett RW, Ganslandt T, García Barrio N, Gradinger T, Griffier R, Hanauer DA, Holmes JH, Horki P, Huling KM, Issitt RW, Jouhet V, Keller MS, Kraska D, Liu M, Luo Y, Lynch KE, Malovini A, Mandl KD, Mao C, Maram A, Matheny ME, Maulhardt T, Mazzitelli M, Milano M, Moore JH, Morris JS, Morris M, Mowery DL, Naughton TP, Ngiam KY, Norman JB, Patel LP, Pedrera Jimenez M, Ramoni RB, Schriver ER, Scudeller L, Sebire NJ, Serrano Balazote P, Spiridou A, Tan AL, Tan BW, Tibollo V, Torti C, Trecarichi EM, Vitacca M, Zambelli A, Zucco C, Kohane IS, Cai T, and Brat GA
Abstract: Objectives: To perform an international comparison of the trajectory of laboratory values among hospitalized patients with COVID-19 who develop severe disease and identify optimal timing of laboratory value collection to predict severity across hospitals and regions., Design: Retrospective cohort study., Setting: The Consortium for Clinical Characterization of COVID-19 by EHR (4CE), an international multi-site data-sharing collaborative of 342 hospitals in the US and in Europe., Participants: Patients hospitalized with COVID-19, admitted before or after PCR-confirmed result for SARS-CoV-2., Primary and Secondary Outcome Measures: Patients were categorized as "ever-severe" or "never-severe" using the validated 4CE severity criteria. Eighteen laboratory tests associated with poor COVID-19-related outcomes were evaluated for predictive accuracy by area under the curve (AUC), compared between the severity categories. Subgroup analysis was performed to validate a subset of laboratory values as predictive of severity against a published algorithm. A subset of laboratory values (CRP, albumin, LDH, neutrophil count, D-dimer, and procalcitonin) was compared between North American and European sites for severity prediction., Results: Of 36,447 patients with COVID-19, 19,953 (43.7%) were categorized as ever-severe. Most patients (78.7%) were 50 years of age or older and male (60.5%). Longitudinal trajectories of CRP, albumin, LDH, neutrophil count, D-dimer, and procalcitonin showed association with disease severity. Significant differences of laboratory values at admission were found between the two groups. With the exception of D-dimer, predictive discrimination of laboratory values did not improve after admission. Sub-group analysis using age, D-dimer, CRP, and lymphocyte count as predictive of severity at admission showed similar discrimination to a published algorithm (AUC=0.88 and 0.91, respectively). Both models deteriorated in predictive accuracy as the disease progressed. On average, no difference in severity prediction was found between North American and European sites., Conclusions: Laboratory test values at admission can be used to predict severity in patients with COVID-19. Prediction models show consistency across international sites highlighting the potential generalizability of these models., Competing Interests: COMPETING INTEREST STATEMENT There are no competing interests to report.
Published: 2021
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38. Clinical portrait of the SARS-CoV-2 epidemic in European cancer patients.

Author: Pinato DJ, Zambelli A, Aguilar-Company J, Bower M, Sng C, Salazar R, Bertuzzi A, Brunet J, Mesia R, Segui E, Biello F, Generali D, Grisanti S, Rizzo G, Libertini M, Maconi A, Harbeck N, Vincenzi B, Bertulli R, Ottaviani D, Carbo A, Bruna R, Benafif S, Marrari A, Wuerstlein R, Carmona-Garcia MC, Chopra N, Tondini C, Mirallas O, Tovazzi V, Betti M, Provenzano S, Fotia V, Cruz CA, Dalla Pria A, D'Avanzo F, Evans JS, Saoudi-Gonzalez N, Felip E, Galazi M, Garcia-Fructuoso I, Lee AJX, Newsom-Davis T, Patriarca A, Garcia-Illescas D, Reyes R, Dileo P, Sharkey R, Wong YNS, Ferrante D, Marco-Hernandez J, Sureda A, Maluquer C, Ruiz-Camps I, Gaidano G, Rimassa L, Chiudinelli L, Izuzquiza M, Cabirta A, Franchi M, Santoro A, Prat A, Tabernero J, and Gennari A
Abstract: The SARS-Cov-2 pandemic significantly impacted on oncology practice across the globe. There is uncertainty as to the contribution of patients' demographics and oncological features on severity and mortality from Covid-19 and little guidance as to the role of anti-cancer and anti-Covid-19 therapy in this population. In a multi-center study of 890 cancer patients with confirmed Covid-19 we demonstrated a worsening gradient of mortality from breast cancer to haematological malignancies and showed that male gender, older age, and number of co-morbidities identifies a subset of patients with significantly worse mortality rates from Covid-19. Provision of chemotherapy, targeted therapy and immunotherapy did not worsen mortality. Exposure to antimalarials was associated with improved mortality rates independent of baseline prognostic factors. This study highlights the clinical utility of demographic factors for individualized risk-stratification of patients and support further research into emerging anti-Covid-19 therapeutics in SARS-Cov-2 infected cancer patients., (Copyright ©2020, American Association for Cancer Research.)
Published: 2020
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