@article{Wysocki_O-2022_94510,
title = {An International Comparison of Presentation, Outcomes and CORONET Predictive Score Performance in Patients with Cancer Presenting with COVID-19 across Different Pandemic Waves},
author = {Wysocki, O. and Zhou, C. and Rogado, J. and Huddar, P. and Shotton, R. and Tivey, A. and Albiges, L. and Angelakas, A. and Arnold, D. and Aung, T. and Banfill, K. and Baxter, M. and Barlesi, F. and Bayle, A. and Besse, B. and Bhogal, T. and Boyce, H. and Britton, F. and Calles, A. and Castelo-Branco, L. and Copson, E. and Croitoru, A. and Dani, S. and Dickens, E. and Eastlake, L. and Fitzpatrick, P. and Foulon, S. and Frederiksen, H. and Ganatra, S. and Gennatas, S. and Glenthøj, A. and Gomes, F. and Graham, D. and Hague, C. and Harrington, K. and Harrison, M. and Horsley, L. and Hoskins, R. and Hudson, Z. and Jakobsen, L. and Khan, S. and Khan, U. and Khan, K. and Lewis, A. and Massard, C. and Maynard, A. and McKenzie, H. and Michielin, O. and Mosenthal, A. and Obispo, B. and Palmieri, C. and Patel, R. and Pentheroudakis, G. and Peters, S. and Rieger-Christ, K. and Robinson, T. and Romano, E. and Rowe, M. and Sekacheva, M. and Sheehan, R. and Stockdale, A. and Thomas, A. and Turtle, L. and Viñal, D. and Weaver, J. and Williams, S. and Wilson, C. and Dive, C. and Landers, D. and Cooksley, T. and Freitas, A. and Armstrong, A. and Lee, R. and ESMO Co-Care},
month = {aug},
year = {2022},
abstract = {Patients with cancer have been shown to have increased risk of COVID-19 severity. We previously built and validated the COVID-19 Risk in Oncology Evaluation Tool (CORONET) to predict the likely severity of COVID-19 in patients with active cancer who present to hospital. We assessed the differences in presentation and outcomes of patients with cancer and COVID-19, depending on the wave of the pandemic. We examined differences in features at presentation and outcomes in patients worldwide, depending on the waves of the pandemic: wave 1 D614G (n = 1430), wave 2 Alpha (n = 475), and wave 4 Omicron variant (n = 63, UK and Spain only). The performance of CORONET was evaluated on 258, 48, and 54 patients for each wave, respectively. We found that mortality rates were reduced in subsequent waves. The majority of patients were vaccinated in wave 4, and 94% were treated with steroids if they required oxygen. The stages of cancer and the median ages of patients significantly differed, but features associated with worse COVID-19 outcomes remained predictive and did not differ between waves. The CORONET tool performed well in all waves, with scores in an area under the curve (AUC) of &amp;gt;0.72. We concluded that patients with cancer who present to hospital with COVID-19 have similar features of severity, which remain discriminatory despite differences in variants and vaccination status. Survival improved following the first wave of the pandemic, which may be associated with vaccination and the increased steroid use in those patients requiring oxygen. The CORONET model demonstrated good performance, independent of the SARS-CoV-2 variants.},
volume = {14},
issue = {16},
journal = {Cancers},
publisher = {MDPI},
url = {https://doi.org/10.3390/cancers14163931},
}
