Please use this identifier to cite or link to this item: https://ninho.inca.gov.br/jspui/handle/123456789/7287
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dc.contributor.authorFerrari, Bruno L.-
dc.contributor.authorFerreira, Carlos Gil Moreira-
dc.contributor.authorMenezes, Marcia-
dc.contributor.authorCanedo, Jorge-
dc.contributor.authorMelo, Andreia Cristina de-
dc.contributor.authorJacome, Alexandre A.-
dc.contributor.authorReinert, Tomás-
dc.contributor.authorPaes, Rafael Duarte-
dc.contributor.authorSodré, Barbara-
dc.contributor.authorBarrios, Carlos Henrique Escosteguy-
dc.contributor.authorDienstmann, Rodrigo-
dc.contributor.authorMarchi, Pedro Rafael Martins De-
dc.date.accessioned2022-06-07T18:50:41Z-
dc.date.available2022-06-07T18:50:41Z-
dc.date.issued2020-
dc.identifier.issn2687-8941-
dc.identifier.other10.1200/GO.20. 00444-
dc.identifier.urihttp://sr-vmlxaph03:8080/jspui/handle/123456789/7287-
dc.description.abstractPURPOSE 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 Oncocl´ınicas 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 de terminants 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.pt_BR
dc.language.isoenpt_BR
dc.publisherJCO Global Oncologypt_BR
dc.subjectBrazil/epidemiologypt_BR
dc.subjectBrasil/epidemiologiapt_BR
dc.subjectBrasil/epidemiologíapt_BR
dc.subjectCOVID-19/mortalitypt_BR
dc.subjectCOVID-19/mortalidadept_BR
dc.subjectCOVID-19/mortalidadpt_BR
dc.subjectCancer Survivors/statistics & numerical datapt_BR
dc.subjectSobreviventes de Câncer/estatística & dados numéricospt_BR
dc.subjectSupervivientes de Cáncer/estadística & datos numéricospt_BR
dc.titleDeterminants of COVID-19 Mortality in Patients With Cancer From a Community Oncology Practice in Brazilpt_BR
dc.TypeArticlept_BR
Appears in Collections:Artigo de Periódicos da Pesquisa Clínica



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