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10.1200/GO.20.00444

http://scihub22266oqcxt.onion/10.1200/GO.20.00444
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33434066!8081500!33434066
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suck abstract from ncbi


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pmid33434066      JCO+Glob+Oncol 2021 ; 7 (ä): 46-55
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  • Determinants of COVID-19 Mortality in Patients With Cancer From a Community Oncology Practice in Brazil #MMPMID33434066
  • Ferrari BL; Ferreira CG; Menezes M; De Marchi P; Canedo J; Melo AC; Jacome AA; Reinert T; Paes RD; Sodre B; Barrios CH; Dienstmann R
  • JCO Glob Oncol 2021[Jan]; 7 (ä): 46-55 PMID33434066show ga
  • PURPOSE: The COVID-19 pandemic remains a public health emergency of global concern. Determinants of mortality in the general population are now clear, but specific data on patients with cancer remain limited, particularly in Latin America. MATERIALS AND METHODS: A longitudinal multicenter cohort study of patients with cancer and confirmed COVID-19 from Oncoclinicas community oncology practice in Brazil was conducted. The primary end point was all-cause mortality after isolation of the SARS-CoV-2 by Real-Time Polymerase Chain Reaction (RT-PCR) in patients initially diagnosed in an outpatient environment. We performed univariate and multivariable logistic regression analysis and recursive partitioning modeling to define the baseline clinical determinants of death in the overall population. RESULTS: From March 29 to July 4, 2020, 198 patients with COVID-19 were prospectively registered in the database, of which 167 (84%) had solid tumors and 31 (16%) had hematologic malignancies. Most patients were on active systemic therapy or radiotherapy (77%), largely for advanced or metastatic disease (64%). The overall mortality rate was 16.7% (95% CI, 11.9 to 22.7). In univariate models, factors associated with death after COVID-19 diagnosis were age >/= 60 years, current or former smoking, coexisting comorbidities, respiratory tract cancer, and management in a noncurative setting (P < .05). In multivariable logistic regression and recursive partitioning modeling, only age, smoking history, and noncurative disease setting remained significant determinants of mortality, ranging from 1% in cancer survivors under surveillance or (neo)adjuvant therapy to 60% in elderly smokers with advanced or metastatic disease. CONCLUSION: Mortality after COVID-19 in patients with cancer is influenced by prognostic factors that also affect outcomes of the general population. Fragile patients and smokers are entitled to active preventive measures to reduce the risk of SARS-CoV-2 infection and close monitoring in the case of exposure or COVID-19-related symptoms.
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Brazil/epidemiology[MESH]
  • |COVID-19 Nucleic Acid Testing/statistics & numerical data[MESH]
  • |COVID-19/diagnosis/*mortality/virology[MESH]
  • |Cancer Survivors/*statistics & numerical data[MESH]
  • |Cause of Death[MESH]
  • |Databases, Factual/statistics & numerical data[MESH]
  • |Female[MESH]
  • |Frailty/epidemiology[MESH]
  • |Humans[MESH]
  • |Longitudinal Studies[MESH]
  • |Male[MESH]
  • |Medical Oncology/statistics & numerical data[MESH]
  • |Middle Aged[MESH]
  • |Neoplasms/complications/*mortality[MESH]
  • |Prognosis[MESH]
  • |Prospective Studies[MESH]
  • |RNA, Viral/isolation & purification[MESH]
  • |Risk Assessment/statistics & numerical data[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2/genetics/*isolation & purification[MESH]
  • |Smoking/epidemiology[MESH]


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