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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

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. und Wille, K. (2020) COVID-19 in cancer patients: clinical characteristics and outcome—an analysis of the LEOSS registry. Annals of Hematology 100 (2), S. 383-393.

Veröffentlichungsdatum dieses Volltextes: 29 Feb 2024 12:10
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.55641


Zusammenfassung

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 ...

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.



Beteiligte Einrichtungen


Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftAnnals of Hematology
Verlag:Springer
Ort der Veröffentlichung:NEW YORK
Band:100
Nummer des Zeitschriftenheftes oder des Kapitels:2
Seitenbereich:S. 383-393
Datum7 November 2020
InstitutionenMedizin > Lehrstuhl für Innere Medizin I
Identifikationsnummer
WertTyp
10.1007/s00277-020-04328-4DOI
Stichwörter / KeywordsMORTALITY; COVID-19; SARS-CoV-2; Cancer patients; Pandemic; LEOSS; Cohort study; Adjusted analysis
Dewey-Dezimal-Klassifikation600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-556412
Dokumenten-ID55641

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