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Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study

. 2020 Jun 20;395(10241):1907-1918. doi: 10.1016/S0140-6736(20)31187-9. Epub 2020 May 28. Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study Toni K Choueiri  2 Dimpy P Shah  3 Yu Shyr  4 Samuel M Rubinstein  4 Donna R Rivera  5 Sanjay Shete  6 Chih-Yuan Hsu  4 Aakash Desai  7 Gilberto de Lima Lopes Jr  8 Petros Grivas  9 Corrie A Painter  10 Solange Peters  11 Michael A Thompson  12 Ziad Bakouny  2 Gerald Batist  13 Tanios Bekaii-Saab  14 Mehmet A Bilen  15 Nathaniel Bouganim  16 Mateo Bover Larroya  17 Daniel Castellano  17 Salvatore A Del Prete  18 Deborah B Doroshow  19 Pamela C Egan  20 Arielle Elkrief  13 Dimitrios Farmakiotis  20 Daniel Flora  21 Matthew D Galsky  19 Michael J Glover  22 Elizabeth A Griffiths  23 Anthony P Gulati  18 Shilpa Gupta  24 Navid Hafez  25 Thorvardur R Halfdanarson  26 Jessica E Hawley  27 Emily Hsu  28 Anup Kasi  29 Ali R Khaki  9 Christopher A Lemmon  24 Colleen Lewis  15 Barbara Logan  21 Tyler Masters  25 Rana R McKay  30 Ruben A Mesa  3 Alicia K Morgans  31 Mary F Mulcahy  31 Orestis A Panagiotou  32 Prakash Peddi  33 Nathan A Pennell  24 Kerry Reynolds  34 Lane R Rosen  33 Rachel Rosovsky  34 Mary Salazar  3 Andrew Schmidt  2 Sumit A Shah  22 Justin A Shaya  30 John Steinharter  2 Keith E Stockerl-Goldstein  35 Suki Subbiah  36 Donald C Vinh  16 Firas H Wehbe  31 Lisa B Weissmann  37 Julie Tsu-Yu Wu  22 Elizabeth Wulff-Burchfield  29 Zhuoer Xie  26 Albert Yeh  9 Peter P Yu  38 Alice Y Zhou  35 Leyre Zubiri  34 Sanjay Mishra  4 Gary H Lyman  9 Brian I Rini  4 Jeremy L Warner  39 COVID-19 and Cancer Consortium

Collaborators, Affiliations

Collaborators Affiliations

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Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study

Nicole M Kuderer et al. Lancet. 2020.

. 2020 Jun 20;395(10241):1907-1918. doi: 10.1016/S0140-6736(20)31187-9. Epub 2020 May 28. Authors Nicole M Kuderer  1 Toni K Choueiri  2 Dimpy P Shah  3 Yu Shyr  4 Samuel M Rubinstein  4 Donna R Rivera  5 Sanjay Shete  6 Chih-Yuan Hsu  4 Aakash Desai  7 Gilberto de Lima Lopes Jr  8 Petros Grivas  9 Corrie A Painter  10 Solange Peters  11 Michael A Thompson  12 Ziad Bakouny  2 Gerald Batist  13 Tanios Bekaii-Saab  14 Mehmet A Bilen  15 Nathaniel Bouganim  16 Mateo Bover Larroya  17 Daniel Castellano  17 Salvatore A Del Prete  18 Deborah B Doroshow  19 Pamela C Egan  20 Arielle Elkrief  13 Dimitrios Farmakiotis  20 Daniel Flora  21 Matthew D Galsky  19 Michael J Glover  22 Elizabeth A Griffiths  23 Anthony P Gulati  18 Shilpa Gupta  24 Navid Hafez  25 Thorvardur R Halfdanarson  26 Jessica E Hawley  27 Emily Hsu  28 Anup Kasi  29 Ali R Khaki  9 Christopher A Lemmon  24 Colleen Lewis  15 Barbara Logan  21 Tyler Masters  25 Rana R McKay  30 Ruben A Mesa  3 Alicia K Morgans  31 Mary F Mulcahy  31 Orestis A Panagiotou  32 Prakash Peddi  33 Nathan A Pennell  24 Kerry Reynolds  34 Lane R Rosen  33 Rachel Rosovsky  34 Mary Salazar  3 Andrew Schmidt  2 Sumit A Shah  22 Justin A Shaya  30 John Steinharter  2 Keith E Stockerl-Goldstein  35 Suki Subbiah  36 Donald C Vinh  16 Firas H Wehbe  31 Lisa B Weissmann  37 Julie Tsu-Yu Wu  22 Elizabeth Wulff-Burchfield  29 Zhuoer Xie  26 Albert Yeh  9 Peter P Yu  38 Alice Y Zhou  35 Leyre Zubiri  34 Sanjay Mishra  4 Gary H Lyman  9 Brian I Rini  4 Jeremy L Warner  39 COVID-19 and Cancer Consortium Collaborators Affiliations

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Erratum in Abstract

Background: Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness.

Methods: In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing.

Findings: Of 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57-76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1·84, 95% CI 1·53-2·21), male sex (1·63, 1·07-2·48), smoking status (former smoker vs never smoked: 1·60, 1·03-2·47), number of comorbidities (two vs none: 4·50, 1·33-15·28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3·89, 2·11-7·18), active cancer (progressing vs remission: 5·20, 2·77-9·77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2·93, 1·79-4·79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0·24, 0·07-0·84) or the US-Midwest (0·50, 0·28-0·90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality.

Interpretation: Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments.

Funding: American Cancer Society, National Institutes of Health, and Hope Foundation for Cancer Research.

Copyright © 2020 Elsevier Ltd. All rights reserved.

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Figures

Figure 1

Forest plot of factors associated…

Figure 1

Forest plot of factors associated with 30-day all-cause mortality Data are partially adjusted…

Figure 1

Forest plot of factors associated with 30-day all-cause mortality Data are partially adjusted odds ratios, with 95% CIs. ECOG=Eastern Cooperative Oncology Group. *Adjusted for sex, smoking status, and obesity. †Adjusted for age, sex, smoking status, and obesity. ‡Adjusted for age, sex, and obesity. §Adjusted for age, sex, and smoking status.

Figure 2

Primary and composite secondary outcome…

Figure 2

Primary and composite secondary outcome by cancer type, cancer status, and anticancer therapy…

Figure 2

Primary and composite secondary outcome by cancer type, cancer status, and anticancer therapy Mortality as a function of cancer type and status (A) and cancer type and therapy type (B). Composite outcome as a function of cancer type and status (C) and cancer type and therapy type (D). Results are descriptive; no statistical analyses were applied.

Comment in Similar articles Cited by References
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