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

Maria Madeleine Rüthrich1,2, Clemens Gießen-Jung3, Stefan Borgmann4, Annika Y. Claßen5,6, Sebastian Dolff7, Beate Grüner8, Frank Hanses9, Nora Isberner10, Philipp Köhler11, Julia Lanznaster12, Uta Merle13, Silvio Nadalin14, Christiane Piepel15, J Schneider16,11, Maximilian Schons5, Richard Strauß17, Lukas Tometten18, Jörg Janne Vehreschild19,5,6, Marie von Lilienfeld‐Toal20,1, Gernot Beutel21, Kai Wille22
1Department of Internal Medicine II, Hematology and Medical Oncology, University Hospital Jena, Jena, Germany
2Leibniz Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute, Jena, Germany
3Department of Internal Medicine III, Ludwig Maximilian University, Munich, Germany
4Department of Infectious Diseases and Infection Control, Ingolstadt Hospital, Ingolstadt, Germany
5Department I for Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
6German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
7Department of Infectious Diseases, University Hospital Essen, University Duisburg Essen, Essen, Germany
8Section Clinical Infectiology, University Hospital Ulm, Ulm, Germany
9Emergency Department, University Hospital Regensburg, Regensburg, Germany
10Department of Internal Medicine II, Division of Infectious Diseases, University Hospital Würzburg, Würzburg, Germany
11Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
12Department of Internal Medicine II, Passau Hospital, Passau, Germany
13Department of Internal Medicine IV, University Hospital Heidelberg, Heidelberg, Germany
14Department of General, Visceral and Transplant Surgery, University Hospital Tübingen, Tübingen, Germany
15Hospital Bremen-Center, Bremen, Germany
16Department of Internal Medicine II, Technical University of Munich, School of Medicine, University Hospital Rechts Der Isar, Munich, Germany
17Medical Clinic I, University Hospital Erlangen, Erlangen, Germany
18Department of Gastroenterology and Infectiology, Hospital Ernst-von-Bergmann, Potsdam, Germany
19Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany
20Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Jena, Germany
21Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
22University of Bochum, University Clinic for Hematology, Oncology, Hemostaseology and Palliative Care, Minden, Germany

Tóm tắt

AbstractIntroduction

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%,pvalue < 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.

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