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10.1007/s00277-020-04328-4 http://scihub22266oqcxt.onion/10.1007/s00277-020-04328-4 33159569!7648543!33159569     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ann+Hematol 2021 ; 100 (2): 383-393 Nephropedia Template TP {{tp|p=33159569|t=2021. COVID-19 in cancer patients: clinical characteristics and outcome-an analysis of the LEOSS registry |pdf=|usr=}}{{33159569}} gab.com Text COVID-19 in cancer patients: clinical characteristics and outcome-an analysis of the LEOSS registry JO: Ann Hematol http://www.kidney.de/pget.php?&tw=1&pmid=33159569 #FOAvip 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. Twit Text FOAVip COVID-19 in cancer patients: clinical characteristics and outcome-an analysis of the LEOSS registry ????Ann Hematol http://www.kidney.de/pget.php?&tw=1&pmid=33159569 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33159569 #FOAvip English Wikipedia <ref>{{Cite pmid|33159569}}</ref> COVID-19 in cancer patients: clinical characteristics and outcome-an analysis of the LEOSS registry #MMPMID33159569 Ruthrich MM; Giessen-Jung C; Borgmann S; Classen AY; Dolff S; Gruner B; Hanses F; Isberner N; Kohler P; Lanznaster J; Merle U; Nadalin S; Piepel C; Schneider J; Schons M; Strauss R; Tometten L; Vehreschild JJ; von Lilienfeld-Toal M; Beutel G; Wille K Ann Hematol 2021[Feb]; 100 (2): 383-393 PMID33159569show ga 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. |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/epidemiology/*prevention & control/virology[MESH] |Comorbidity[MESH] |Europe/epidemiology[MESH] |Female[MESH] |Hospital Mortality[MESH] |Hospitalization/statistics & numerical data[MESH] |Humans[MESH] |Kaplan-Meier Estimate[MESH] |Male[MESH] |Middle Aged[MESH] |Neoplasms/epidemiology/*therapy[MESH] |Outcome Assessment, Health Care/methods/statistics & numerical data[MESH] |Pandemics[MESH] |Registries/*statistics & numerical data[MESH] |Retrospective Studies[MESH] |SARS-CoV-2/*isolation & purification/physiology[MESH]COVID-19 in cancer patients: clinical characteristics and outcome-an a(epmc).pdf DeepDyve Pubget Overpricing