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Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients
Cancer patients are a vulnerable population postulated to be at higher risk for severe COVID-19 infection. Increased COVID-19 morbidity and mortality in cancer patients may be attributable to age, comorbidities, smoking, healthcare exposure, and cancer treatments, and partially to the cancer itself....
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430598/ https://www.ncbi.nlm.nih.gov/pubmed/32817956 http://dx.doi.org/10.1101/2020.08.14.20174961 |
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author | Sun, Lova Surya, Sanjna Le, Anh N. Desai, Heena Doucette, Abigail Gabriel, Peter Ritchie, Marylyn Rader, Daniel Maillard, Ivan Bange, Erin Huang, Alexander Vonderheide, Robert H. DeMichele, Angela Verma, Anurag Mamtani, Ronac Maxwell, Kara N. |
author_facet | Sun, Lova Surya, Sanjna Le, Anh N. Desai, Heena Doucette, Abigail Gabriel, Peter Ritchie, Marylyn Rader, Daniel Maillard, Ivan Bange, Erin Huang, Alexander Vonderheide, Robert H. DeMichele, Angela Verma, Anurag Mamtani, Ronac Maxwell, Kara N. |
author_sort | Sun, Lova |
collection | PubMed |
description | Cancer patients are a vulnerable population postulated to be at higher risk for severe COVID-19 infection. Increased COVID-19 morbidity and mortality in cancer patients may be attributable to age, comorbidities, smoking, healthcare exposure, and cancer treatments, and partially to the cancer itself. Most studies to date have focused on hospitalized patients with severe COVID-19, thereby limiting the generalizability and interpretability of the association between cancer and COVID-19 severity. We compared outcomes of SARS-CoV-2 infection in 323 patients enrolled prior to the pandemic in a large academic biobank (n=67 cancer patients and n=256 non-cancer patients). After adjusting for demographics, smoking status, and comorbidities, a diagnosis of cancer was independently associated with higher odds of hospitalization (OR 2.16, 95% CI 1.12–4.18) and 30-day mortality (OR 5.67, CI 1.49–21.59). These associations were primarily driven by patients with active cancer. These results emphasize the critical importance of preventing SARS-CoV-2 exposure and mitigating infection in cancer patients. |
format | Online Article Text |
id | pubmed-7430598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-74305982020-08-18 Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients Sun, Lova Surya, Sanjna Le, Anh N. Desai, Heena Doucette, Abigail Gabriel, Peter Ritchie, Marylyn Rader, Daniel Maillard, Ivan Bange, Erin Huang, Alexander Vonderheide, Robert H. DeMichele, Angela Verma, Anurag Mamtani, Ronac Maxwell, Kara N. medRxiv Article Cancer patients are a vulnerable population postulated to be at higher risk for severe COVID-19 infection. Increased COVID-19 morbidity and mortality in cancer patients may be attributable to age, comorbidities, smoking, healthcare exposure, and cancer treatments, and partially to the cancer itself. Most studies to date have focused on hospitalized patients with severe COVID-19, thereby limiting the generalizability and interpretability of the association between cancer and COVID-19 severity. We compared outcomes of SARS-CoV-2 infection in 323 patients enrolled prior to the pandemic in a large academic biobank (n=67 cancer patients and n=256 non-cancer patients). After adjusting for demographics, smoking status, and comorbidities, a diagnosis of cancer was independently associated with higher odds of hospitalization (OR 2.16, 95% CI 1.12–4.18) and 30-day mortality (OR 5.67, CI 1.49–21.59). These associations were primarily driven by patients with active cancer. These results emphasize the critical importance of preventing SARS-CoV-2 exposure and mitigating infection in cancer patients. Cold Spring Harbor Laboratory 2020-08-15 /pmc/articles/PMC7430598/ /pubmed/32817956 http://dx.doi.org/10.1101/2020.08.14.20174961 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Sun, Lova Surya, Sanjna Le, Anh N. Desai, Heena Doucette, Abigail Gabriel, Peter Ritchie, Marylyn Rader, Daniel Maillard, Ivan Bange, Erin Huang, Alexander Vonderheide, Robert H. DeMichele, Angela Verma, Anurag Mamtani, Ronac Maxwell, Kara N. Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients |
title | Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients |
title_full | Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients |
title_fullStr | Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients |
title_full_unstemmed | Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients |
title_short | Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients |
title_sort | rates of covid-19-related outcomes in cancer compared to non-cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430598/ https://www.ncbi.nlm.nih.gov/pubmed/32817956 http://dx.doi.org/10.1101/2020.08.14.20174961 |
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