COVID-19 Outcomes Among Patients With Cancer: Observations From the University of California Cancer Consortium COVID-19 Project Outcomes Registry

Author:

Borno Hala T12ORCID,Kim Mi-Ok23,Hong Julian C245,Yousefi Sasha45,Lin Amy12,Tolstykh Irina3,Zhang Sylvia2,McKay Rana R67,Harismendy Olivier78,Cinar Pelin12,Rugo Hope12ORCID,Koshkin Vadim S12,Rabow Maya9,Wang Christine10,Bailey Adina1,Small Eric J12

Affiliation:

1. Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA

2. Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA

3. Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA

4. Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA

5. Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA

6. Department of Medicine, University of California, San Diego, San Diego, CA, USA

7. Moores Cancer Center, University of California, San Diego, San Diego, CA, USA

8. Division of Biomedical Informatics, Department of Medicine, University of California, San Diego, San Diego, CA, USA

9. College of Science, Northeastern University, Boston, MA, USA

10. San Diego State University, San Diego, CA, USA

Abstract

AbstractBackgroundThe 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.MethodsClinical 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.FindingsAmong 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]).InterpretationThis 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.

Funder

University of California

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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