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

被引:126
作者
Ruethrich, Maria Madeleine [1 ,2 ]
Giessen-Jung, C. [3 ]
Borgmann, S. [4 ]
Classen, A. Y. [5 ,6 ,7 ]
Dolff, S. [8 ]
Gruener, B. [9 ]
Hanses, F. [10 ]
Isberner, N. [11 ]
Koehler, P. [12 ]
Lanznaster, J. [13 ]
Merle, U. [14 ]
Nadalin, S. [15 ]
Piepel, C. [16 ]
Schneider, J. [12 ,17 ]
Schons, M. [5 ,6 ]
Strauss, R. [18 ]
Tometten, L. [19 ]
Vehreschild, J. J. [5 ,6 ,7 ,20 ]
von Lilienfeld-Toal, M. [1 ,2 ]
Beutel, G. [21 ]
Wille, K. [22 ]
机构
[1] Univ Hosp Jena, Dept Internal Med Hematol & Med Oncol 2, Klinikum 1, D-07747 Jena, Germany
[2] Hans Knoell Inst, Leibniz Inst Nat Prod Res & Infect Biol, Jena, Germany
[3] Ludwig Maximilians Univ Munchen, Dept Internal Med 3, Munich, Germany
[4] Ingolstadt Hosp, Dept Infect Dis & Infect Control, Ingolstadt, Germany
[5] Univ Cologne, Dept Internal Med 1, Fac Med, Cologne, Germany
[6] Univ Hosp Cologne, Cologne, Germany
[7] German Ctr Infect Res DZIF, Partner Site Bonn Cologne, Cologne, Germany
[8] Univ Duisburg Essen, Univ Hosp Essen, Dept Infect Dis, Essen, Germany
[9] Univ Hosp Ulm, Sect Clin Infectiol, Ulm, Germany
[10] Univ Hosp Regensburg, Emergency Dept, Regensburg, Germany
[11] Univ Hosp Wurzburg, Div Infect Dis, Dept Internal Med 2, Wurzburg, Germany
[12] Univ Cologne, Cologne Excellence Cluster Cellular Stress Respon, Cologne, Germany
[13] Passau Hosp, Dept Internal Med 2, Passau, Germany
[14] Univ Hosp Heidelberg, Dept Internal Med 4, Heidelberg, Germany
[15] Univ Hosp Tubingen, Dept Gen Visceral & Transplant Surg, Tubingen, Germany
[16] Hosp Bremen Ctr, Bremen, Germany
[17] Tech Univ Munich, Univ Hosp Rechts Isar, Sch Med, Dept Internal Med 2, Munich, Germany
[18] Univ Hosp Erlangen, Med Clin 1, Erlangen, Germany
[19] Hosp Ernst von Bergmann, Dept Gastroenterol & Infectiol, Potsdam, Germany
[20] Goethe Univ Frankfurt, Dept Internal Med, Hematol Oncol, Frankfurt, Germany
[21] Hannover Med Sch, Dept Hematol Hemostasis Oncol & Stem Cell Transpl, Hannover, Germany
[22] Univ Bochum, Univ Clin Hematol Oncol Hemostaseol & Palliat Car, Minden, Germany
关键词
COVID-19; SARS-CoV-2; Cancer patients; Pandemic; LEOSS; Cohort study; Adjusted analysis; WUHAN;
D O I
10.1007/s00277-020-04328-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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页码:383 / 393
页数:11
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