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1.
Lancet Haematol ; 7(8): e601-e612, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32563283

RESUMO

The ongoing COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 is a global public health crisis. Multiple observations indicate poorer post-infection outcomes for patients with cancer than for the general population. Herein, we highlight the challenges in caring for patients with acute leukaemias and myeloid neoplasms amid the COVID-19 pandemic. We summarise key changes related to service allocation, clinical and supportive care, clinical trial participation, and ethical considerations regarding the use of lifesaving measures for these patients. We recognise that these recommendations might be more applicable to high-income countries and might not be generalisable because of regional differences in health-care infrastructure, individual circumstances, and a complex and highly fluid health-care environment. Despite these limitations, we aim to provide a general framework for the care of patients with acute leukaemias and myeloid neoplasms during the COVID-19 pandemic on the basis of recommendations from international experts.


Assuntos
Betacoronavirus/patogenicidade , Infecções por Coronavirus/complicações , Controle de Infecções/normas , Leucemia/terapia , Transtornos Mieloproliferativos/terapia , Pneumonia Viral/complicações , Guias de Prática Clínica como Assunto/normas , Adulto , COVID-19 , Infecções por Coronavirus/transmissão , Infecções por Coronavirus/virologia , Gerenciamento Clínico , Prova Pericial , Humanos , Leucemia/virologia , Transtornos Mieloproliferativos/virologia , Pandemias , Pneumonia Viral/transmissão , Pneumonia Viral/virologia , Alocação de Recursos , SARS-CoV-2
2.
Cancer ; 123(13): 2561-2569, 2017 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-28464280

RESUMO

BACKGROUND: Chronic myeloid leukemia (CML) can be treated effectively with tyrosine kinase inhibitor therapy directed at BCR-ABL, but access to care, medication cost, and adherence may be barriers to treatment. This study was designed to determine whether the insurance status at diagnosis influences CML patient outcomes. METHODS: The Surveillance, Epidemiology, and End Results database was used to identify 5784 patients, aged 15 years or older, who were diagnosed with CML between 2007 and 2012 and whose insurance status was documented at diagnosis. The primary outcome was 5-year overall survival (OS). Covariates of interest included the age at diagnosis, race, ethnicity, sex, county-level socioeconomic status, and marital status. OS was evaluated with a log-rank test and Kaplan-Meier estimates. RESULTS: Among patients aged 15 to 64 years, insurance status was associated with OS (P < .001): being uninsured or having Medicaid was associated with worse 5-year OS in comparison with being insured (uninsured patients, 72.7%; Medicaid patients, 73.1%; insured patients, 86.6%). For patients who were 65 years old or older, insurance had less of an impact on OS (P = .07), with similar 5-year OS rates for patients with Medicaid and those with other insurance (40.2% vs 43.4%). In a multivariate analysis of patients aged 15 to 64 years, both uninsured patients (hazard ratio [HR], 1.93; P < .001) and Medicaid patients (HR, 1.83; P < .001) had an increased hazard of death in comparison with insured patients; patients younger than 40 years, female patients, and married patients also had a lower hazard of death. CONCLUSION: These findings suggest that CML patients under the age of 65 years who are uninsured or have Medicaid have significantly worse survival than patients with other insurance coverage. Cancer 2017;123:2561-69. © 2017 American Cancer Society.


Assuntos
Cobertura do Seguro/estatística & dados numéricos , Seguro Saúde/estatística & dados numéricos , Leucemia Mielogênica Crônica BCR-ABL Positiva/mortalidade , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Bases de Dados Factuais , Escolaridade , Etnicidade , Feminino , Humanos , Renda , Masculino , Estado Civil , Medicaid , Pessoas sem Cobertura de Seguro de Saúde/estatística & dados numéricos , Pessoa de Meia-Idade , Análise Multivariada , Pobreza , Modelos de Riscos Proporcionais , Programa de SEER , Classe Social , Estados Unidos , Adulto Jovem
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