Author: Kiani, Alexander; Roesch, Romina; Wendtner, Clemens M.; Kullmann, Frank; Kubin, Thomas; Südhoff, Thomas; Augustin, Marinela; Schaich, Markus; Müllerâ€Naendrup, Clemens; Illerhaus, Gerald; Hartmann, Frank; Hebart, Holger; Seggewissâ€Bernhardt, Ruth; Bentz, Martin; Späthâ€Schwalbe, Ernst; Reimer, Peter; Kaiser, Ulrich; Kapp, Markus; Graeven, Ullrich; Chemnitz, Jensâ€Marcus; Baesecke, Jörg; Lambertz, Helmut; Naumann, Ralph
Title: Preinfection laboratory parameters may predict COVIDâ€19 severity in tumor patients Cord-id: r6mzzdw3 Document date: 2021_6_13
ID: r6mzzdw3
Snippet: BACKGROUND: Infection with SARSâ€CoVâ€2 leads to COVIDâ€19, the course of which is highly variable and depends on numerous patientâ€specific risk factors. Patients with tumor diseases are considered to be more susceptible to severe COVIDâ€19; however, they also represent a heterogeneous group of individuals with variable risk. Identifying specific risk factors for a severe course of COVIDâ€19 in patients with cancer is of great importance. METHODS: Patients diagnosed with solid tumors or h
Document: BACKGROUND: Infection with SARSâ€CoVâ€2 leads to COVIDâ€19, the course of which is highly variable and depends on numerous patientâ€specific risk factors. Patients with tumor diseases are considered to be more susceptible to severe COVIDâ€19; however, they also represent a heterogeneous group of individuals with variable risk. Identifying specific risk factors for a severe course of COVIDâ€19 in patients with cancer is of great importance. METHODS: Patients diagnosed with solid tumors or hematological malignancies and PCRâ€confirmed SARSâ€CoVâ€2 infection were included into the multicentric ADHOK (Arbeitsgemeinschaft der Hämatologen und Onkologen im Krankenhaus e.V.) coronavirus tumor registry. Detailed information about the patients’ cancer disease, treatment, and laboratory parameters prior to infection, was collected retrospectively. The outcome of the SARSâ€CoVâ€2 infection was graded according to the WHO. RESULTS: A total of 195 patients (68% with solid neoplasms and 32% with hematological malignancies) were included in the registry. Overall, the course of the SARSâ€CoVâ€2 infection varied greatly, as 69% of all patients were either asymptomatic or encountered a mild to moderate course, while 23% of the cohort died from COVIDâ€19. In multivariable analysis, preinfection laboratory parameters (determined at least 10 days and a median of 21 days before the first documentation of SARSâ€CoVâ€2 infection) significantly correlated with severe course of the disease. Out of these, the absolute neutrophil count prior to infection showed the strongest association with COVIDâ€19â€related death. CONCLUSION: The course of COVIDâ€19 in patients with tumor diseases is highly variable. Preinfection laboratory parameters may aid to identify patients at risk for severe COVIDâ€19 at an early stage prior to infection with the virus. German Clinical Trials Register identification: DRKS00023012.
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