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Clinical outcomes in cancer patients with COVID ‐19
Author(s) -
Sawyers Amelia,
Chou Margaret,
Johannet Paul,
Gulati Nicholas,
Qian Yingzhi,
Zhong Judy,
Osman Iman
Publication year - 2021
Publication title -
cancer reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.261
H-Index - 5
ISSN - 2573-8348
DOI - 10.1002/cnr2.1413
Subject(s) - medicine , cancer , odds ratio , incidence (geometry) , intensive care unit , malignancy , lung cancer , confidence interval , population , univariate analysis , mechanical ventilation , multivariate analysis , physics , environmental health , optics
Background Early reports on cancer patients with coronavirus disease 2019 (COVID‐19) corroborated speculation that cancer patients are at increased risk for becoming infected with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and developing severe COVID‐19. However, cancer patients are a heterogeneous population and their corresponding risk may be different. Aim To compare COVID‐19 presentation in patients with active malignancy to those with a history of cancer to determine the impact of cancer status on COVID‐19 outcomes in the two groups. Methods and results Of the 6724 patients who were hospitalized at NYU Langone Health (3/16/20‐7/31/20) and tested positive for SARS‐CoV‐2, 580 had either active cancer ( n  = 221) or a history of cancer ( n  = 359). We compared the baseline clinicodemographic characteristics and hospital courses of the two groups. We studied the relationship between cancer status and the rate of admission to the intensive care unit (ICU), use of invasive mechanical ventilation (IMV), and all‐cause mortality. The two groups had similar laboratory results associated with COVID‐19 infection, incidence of venous thromboembolism, and incidence of severe COVID‐19. Active cancer status was not associated with the rate of ICU admission ( p  = .307) or use of IMV ( p  = .236), but was significantly associated with worse all‐cause mortality in both univariate and multivariate analysis with odds ratios of 1.48 (95% confidence interval [CI]: 1.04–2.09; p  = .028) and 1.71 (95% CI: 1.12–2.63; p  = .014), respectively. Conclusion Active cancer patients had worse survival outcomes compared to patients with a history of cancer despite similar COVID‐19 disease characteristics in the two groups. Our data suggest that cancer care should continue with minimal interruptions during the pandemic to bring about response and remission as soon as possible.

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