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Comparison and impact of COVID-19 for patients with cancer: a survival analysis of fatality rate controlling for age, sex and cancer type.
Li, Haiquan; Baldwin, Edwin; Zhang, Xiang; Kenost, Colleen; Luo, Wenting; Calhoun, Elizabeth A; An, Lingling; Bennett, Charles L; Lussier, Yves A.
  • Li H; Department of Biosystems Engineering, The University of Arizona, Tucson, Arizona, USA haiquan@arizona.edu Yves.Lussier@utah.edu bennettc@cop.sc.edu.
  • Baldwin E; Department of Biosystems Engineering, The University of Arizona, Tucson, Arizona, USA.
  • Zhang X; Department of Biosystems Engineering, The University of Arizona, Tucson, Arizona, USA.
  • Kenost C; Department of Biomedical Informatics, The University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Luo W; Department of Biosystems Engineering, The University of Arizona, Tucson, Arizona, USA.
  • Calhoun EA; Department of Population Health, University of Kansas Medical Center, Kansas City, Kansas, USA.
  • An L; Department of Biosystems Engineering, The University of Arizona, Tucson, Arizona, USA.
  • Bennett CL; Department of Clinical Pharmacy and Outcomes Sciences, University of South Carolina, Columbia, South Carolina, USA haiquan@arizona.edu Yves.Lussier@utah.edu bennettc@cop.sc.edu.
  • Lussier YA; Department of Biomedical Informatics, The University of Utah School of Medicine, Salt Lake City, Utah, USA haiquan@arizona.edu Yves.Lussier@utah.edu bennettc@cop.sc.edu.
BMJ Health Care Inform ; 28(1)2021 May.
Article in English | MEDLINE | ID: covidwho-1226760
ABSTRACT

OBJECTIVES:

Prior research has reported an increased risk of fatality for patients with cancer, but most studies investigated the risk by comparing cancer to non-cancer patients among COVID-19 infections, where cancer might have contributed to the increased risk. This study is to understand COVID-19's imposed HR of fatality while controlling for covariates, such as age, sex, metastasis status and cancer type.

METHODS:

We conducted survival analyses of 4606 cancer patients with COVID-19 test results from 16 March to 11 October 2020 in UK Biobank and estimated the overall HR of fatality with and without COVID-19 infection. We also examined the HRs of 13 specific cancer types with at least 100 patients using a stratified analysis.

RESULTS:

COVID-19 resulted in an overall HR of 7.76 (95% CI 5.78 to 10.40, p<10-10) by following 4606 patients with cancer for 21 days after the tests. The HR varied among cancer type, with over a 10-fold increase in fatality rate (false discovery rate ≤0.02) for melanoma, haematological malignancies, uterine cancer and kidney cancer. Although COVID-19 imposed a higher risk for localised versus distant metastasis cancers, those of distant metastases yielded higher overall fatality rates due to their multiplicative effects.

DISCUSSION:

The results confirmed prior reports for the increased risk of fatality for patients with COVID-19 plus hematological malignancies and demonstrated similar findings of COVID-19 on melanoma, uterine, and kidney cancers.

CONCLUSION:

The results highlight the heightened risk that COVID-19 imposes on localised and haematological cancer patients and the necessity to vaccinate uninfected patients with cancer promptly, particularly for the cancer types most influenced by COVID-19. Results also suggest the importance of timely care for patients with localised cancer, whether they are infected by COVID-19 or not.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Status / Public Health Surveillance / COVID-19 / Neoplasms Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Adult / Aged / Female / Humans / Male / Young adult Language: English Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Status / Public Health Surveillance / COVID-19 / Neoplasms Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Adult / Aged / Female / Humans / Male / Young adult Language: English Year: 2021 Document Type: Article