Rebecca J Lee, Oskar Wysocki, Cong Zhou, Rohan Shotton, Ann Tivey, Louise Lever, Joshua Woodcock, Laurence Albiges, Angelos Angelakas, Dirk Arnold, Theingi Aung, Kathryn Banfill, Mark Baxter, Fabrice Barlesi, Arnaud Bayle, Benjamin Besse, Talvinder Bhogal, Hayley Boyce, Fiona Britton, Antonio Calles, Luis Castelo-Branco, Ellen Copson, Adina E Croitoru, Sourbha S Dani, Elena Dickens, Leonie Eastlake, Paul Fitzpatrick, Stephanie Foulon, Henrik Frederiksen, Hannah Frost, Sarju Ganatra, Spyridon Gennatas, Andreas Glenthøj, Fabio Gomes, Donna M Graham, Christina Hague, Kevin Harrington, Michelle Harrison, Laura Horsley, Richard Hoskins, Prerana Huddar, Zoe Hudson, Lasse H Jakobsen, Nalinie Joharatnam-Hogan, Sam Khan, Umair T Khan, Khurum Khan, Christophe Massard, Alec Maynard, Hayley McKenzie, Olivier Michielin, Anne C Mosenthal, Berta Obispo, Rushin Patel, George Pentheroudakis, Solange Peters, Kimberly Rieger-Christ, Timothy Robinson, Jacobo Rogado, Emanuela Romano, Michael Rowe, Marina Sekacheva, Roseleen Sheehan, Julie Stevenson, Alexander Stockdale, Anne Thomas, Lance Turtle, David Viñal, Jamie Weaver, Sophie Williams, Caroline Wilson, Carlo Palmieri, Donal Landers, Timothy Cooksley, Caroline Dive, André Freitas, Anne C Armstrong
PURPOSE: Patients with cancer are at increased risk of severe COVID-19 disease, but have heterogeneous presentations and outcomes. Decision-making tools for hospital admission, severity prediction, and increased monitoring for early intervention are critical. We sought to identify features of COVID-19 disease in patients with cancer predicting severe disease and build a decision support online tool, COVID-19 Risk in Oncology Evaluation Tool (CORONET). METHODS: Patients with active cancer (stage I-IV) and laboratory-confirmed COVID-19 disease presenting to hospitals worldwide were included...
May 2022: JCO Clinical Cancer Informatics