COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry

• Published in: Annals of hematology Vol. 100; no. 2; pp. 383 - 393
• Main Authors: Rüthrich, Maria Madeleine, Giessen-Jung, C., Borgmann, S., Classen, A. Y., Dolff, S., Grüner, B., Hanses, F., Isberner, N., Köhler, P., Lanznaster, J., Merle, U., Nadalin, S., Piepel, C., Schneider, J., Schons, M., Strauss, R., Tometten, L., Vehreschild, J. J., von Lilienfeld-Toal, M., Beutel, G., Wille, K.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021; Springer Nature B.V
• Subjects: Adolescent; Adult; Age; Aged; Aged, 80 and over; Cancer; Cohort analysis; Comorbidity; Coronaviruses; COVID-19; COVID-19 - epidemiology; COVID-19 - prevention & control; COVID-19 - virology; Europe - epidemiology; Female; Hematology; Hospital Mortality; Hospitalization - statistics & numerical data; Humans; Kaplan-Meier Estimate; Male; Medicine; Medicine & Public Health; Middle Aged; Mortality; Neoplasms - epidemiology; Neoplasms - therapy; Oncology; Original; Original Article; Outcome Assessment, Health Care - methods; Outcome Assessment, Health Care - statistics & numerical data; Pandemics; Registries - statistics & numerical data; Retrospective Studies; SARS-CoV-2 - isolation & purification; SARS-CoV-2 - physiology; Severe acute respiratory syndrome coronavirus 2; Young Adult; Europe; COVID-19; SARS-CoV-2; Cancer patients; Cohort study; Adjusted analysis; Pandemic; LEOSS

Introduction Since the early SARS-CoV-2 pandemic, cancer patients have been assumed to be at higher risk for severe COVID-19. Here, we present an analysis of cancer patients from the LEOSS (Lean European Open Survey on SARS-CoV-2 Infected Patients) registry to determine whether cancer patients are a...