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COVID-19 Outcomes Among Patients With Cancer: Observations From the University of California Cancer Consortium COVID-19 Project Outcomes Registry.
Borno, Hala T; Kim, Mi-Ok; Hong, Julian C; Yousefi, Sasha; Lin, Amy; Tolstykh, Irina; Zhang, Sylvia; McKay, Rana R; Harismendy, Olivier; Cinar, Pelin; Rugo, Hope; Koshkin, Vadim S; Rabow, Maya; Wang, Christine; Bailey, Adina; Small, Eric J.
Afiliação
  • Borno HT; Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Kim MO; Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
  • Hong JC; Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
  • Yousefi S; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Lin A; Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
  • Tolstykh I; Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA.
  • Zhang S; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • McKay RR; Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA.
  • Harismendy O; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Cinar P; Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Rugo H; Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
  • Koshkin VS; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Rabow M; Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
  • Wang C; Department of Medicine, University of California, San Diego, San Diego, CA, USA.
  • Bailey A; Moores Cancer Center, University of California, San Diego, San Diego, CA, USA.
  • Small EJ; Moores Cancer Center, University of California, San Diego, San Diego, CA, USA.
Oncologist ; 27(5): 398-406, 2022 05 06.
Article em En | MEDLINE | ID: mdl-35348771
BACKGROUND: The risks associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its associated illness, coronavirus disease 2019 (COVID-19), among patients with a cancer diagnosis have not been fully characterized. This study leverages data from a multi-institutional cohort study, the University of California Cancer COVID Consortium, to evaluate outcomes associated with SARS-CoV-2 infection among patients with cancer. METHODS: Clinical data were collected from March to November 2020 and included patient demographics, cancer history and treatment, SARS-CoV-2 exposure and testing, and COVID-19 clinical management and outcomes. Multivariate ordinal logistic regression permitting unequal slopes was used to evaluate the impact of demographic, disease, and treatment factors on SARS-CoV-2 related hospitalization, intensive care unit (ICU) admission, and mortality. FINDINGS: Among all evaluated patients (n = 303), 147 (48%) were male, 118 (29%) were older adults (≥65 years old), and 104 (34%) were non-Hispanic white. A subset (n = 63, 21%) had hematologic malignancies and the remaining had solid tumors. Patients were hospitalized for acute care (n = 79, 26%), ICU-level care (n = 28, 9%), or died (n = 21, 7%) due to COVID-19. Patients with ≥2 comorbidities were more likely to require acute care (odds ratio [OR] 2.09 [95% confidence interval (CI), 1.23-3.55]). Cough was identified as a significant predictor of ICU hospitalization (OR 2.16 [95% CI, 1.03-4.57]). Importantly, mortality was associated with an active cancer diagnosis (OR 3.64 [95% CI, 1.40-9.5]) or advanced age (OR 3.86 [95% CI, 1.2-12.44]). INTERPRETATION: This study observed that patients with active cancer or advanced age are at an increased risk of death from COVID-19. These study observations can inform risk counseling related to COVID-19 for patients with a cancer diagnosis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article