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COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648543/ https://www.ncbi.nlm.nih.gov/pubmed/33159569 http://dx.doi.org/10.1007/s00277-020-04328-4 |
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author | 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. |
author_facet | 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. |
author_sort | Rüthrich, Maria Madeleine |
collection | PubMed |
description | 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 at higher risk. PATIENTS AND METHODS: We retrospectively analyzed a cohort of 435 cancer patients and 2636 non-cancer patients with confirmed SARS-CoV-2 infection, enrolled between March 16 and August 31, 2020. Data on socio-demographics, comorbidities, cancer-related features and infection course were collected. Age-, sex- and comorbidity-adjusted analysis was performed. Primary endpoint was COVID-19-related mortality. RESULTS: In total, 435 cancer patients were included in our analysis. Commonest age category was 76–85 years (36.5%), and 40.5% were female. Solid tumors were seen in 59% and lymphoma and leukemia in 17.5% and 11% of patients. Of these, 54% had an active malignancy, and 22% had recently received anti-cancer treatments. At detection of SARS-CoV-2, the majority (62.5%) presented with mild symptoms. Progression to severe COVID-19 was seen in 55% and ICU admission in 27.5%. COVID-19-related mortality rate was 22.5%. Male sex, advanced age, and active malignancy were associated with higher death rates. Comparing cancer and non-cancer patients, age distribution and comorbidity differed significantly, as did mortality (14% vs 22.5%, p value < 0.001). After adjustments for other risk factors, mortality was comparable. CONCLUSION: Comparing cancer and non-cancer patients, outcome of COVID-19 was comparable after adjusting for age, sex, and comorbidity. However, our results emphasize that cancer patients as a group are at higher risk due to advanced age and pre-existing conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00277-020-04328-4. |
format | Online Article Text |
id | pubmed-7648543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-76485432020-11-09 COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry 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. Ann Hematol Original Article 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 at higher risk. PATIENTS AND METHODS: We retrospectively analyzed a cohort of 435 cancer patients and 2636 non-cancer patients with confirmed SARS-CoV-2 infection, enrolled between March 16 and August 31, 2020. Data on socio-demographics, comorbidities, cancer-related features and infection course were collected. Age-, sex- and comorbidity-adjusted analysis was performed. Primary endpoint was COVID-19-related mortality. RESULTS: In total, 435 cancer patients were included in our analysis. Commonest age category was 76–85 years (36.5%), and 40.5% were female. Solid tumors were seen in 59% and lymphoma and leukemia in 17.5% and 11% of patients. Of these, 54% had an active malignancy, and 22% had recently received anti-cancer treatments. At detection of SARS-CoV-2, the majority (62.5%) presented with mild symptoms. Progression to severe COVID-19 was seen in 55% and ICU admission in 27.5%. COVID-19-related mortality rate was 22.5%. Male sex, advanced age, and active malignancy were associated with higher death rates. Comparing cancer and non-cancer patients, age distribution and comorbidity differed significantly, as did mortality (14% vs 22.5%, p value < 0.001). After adjustments for other risk factors, mortality was comparable. CONCLUSION: Comparing cancer and non-cancer patients, outcome of COVID-19 was comparable after adjusting for age, sex, and comorbidity. However, our results emphasize that cancer patients as a group are at higher risk due to advanced age and pre-existing conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00277-020-04328-4. Springer Berlin Heidelberg 2020-11-07 2021 /pmc/articles/PMC7648543/ /pubmed/33159569 http://dx.doi.org/10.1007/s00277-020-04328-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article 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. COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry |
title | COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry |
title_full | COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry |
title_fullStr | COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry |
title_full_unstemmed | COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry |
title_short | COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry |
title_sort | covid-19 in cancer patients: clinical characteristics and outcome—an analysis of the leoss registry |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648543/ https://www.ncbi.nlm.nih.gov/pubmed/33159569 http://dx.doi.org/10.1007/s00277-020-04328-4 |
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