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Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience
BACKGROUND: The COVID-19 pandemic remains a pressing concern to patients with cancer as countries enter the second peak of the pandemic and beyond. It remains unclear whether cancer and its treatment contribute an independent risk for mortality in COVID-19. METHODS: We included patients at a London...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714940/ https://www.ncbi.nlm.nih.gov/pubmed/33330085 http://dx.doi.org/10.3389/fonc.2020.595804 |
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author | Sng, Christopher C. T. Wong, Yien Ning Sophia Wu, Anjui Ottaviani, Diego Chopra, Neha Galazi, Myria Benafif, Sarah Soosaipillai, Gehan Roylance, Rebecca Lee, Alvin J. X. Shaw, Heather |
author_facet | Sng, Christopher C. T. Wong, Yien Ning Sophia Wu, Anjui Ottaviani, Diego Chopra, Neha Galazi, Myria Benafif, Sarah Soosaipillai, Gehan Roylance, Rebecca Lee, Alvin J. X. Shaw, Heather |
author_sort | Sng, Christopher C. T. |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic remains a pressing concern to patients with cancer as countries enter the second peak of the pandemic and beyond. It remains unclear whether cancer and its treatment contribute an independent risk for mortality in COVID-19. METHODS: We included patients at a London tertiary hospital with laboratory confirmed SARS-CoV-2 infection. All patients with a history of solid cancer were included. Age- and sex-matched patients without cancer were randomly selected. Patients with hematological malignancies were excluded. RESULTS: We identified 94 patients with cancer, matched to 226 patients without cancer. After adjusting for age, ethnicity, and co-morbidities, patients with cancer had increased mortality following COVID-19 (HR 1.57, 95% CI:1.04–2.4, p = 0.03). Increasing age (HR 1.49 every 10 years, 95% CI:1.25–1.8, p < 0.001), South Asian ethnicity (HR 2.92, 95% CI:1.73–4.9, p < 0.001), and cerebrovascular disease (HR 1.93, 95% CI:1.18–3.2, p = 0.008) also predicted mortality. Within the cancer cohort, systemic anti-cancer therapy (SACT) within 60 days of COVID-19 diagnosis was an independent risk factor for mortality (HR 2.30, 95% CI: 1.16–4.6, p = 0.02). CONCLUSIONS: Along with known risk factors, cancer and SACT confer an independent risk for mortality following COVID-19. Further studies are needed to understand the socio-economic influences and pathophysiology of these associations. |
format | Online Article Text |
id | pubmed-7714940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77149402020-12-15 Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience Sng, Christopher C. T. Wong, Yien Ning Sophia Wu, Anjui Ottaviani, Diego Chopra, Neha Galazi, Myria Benafif, Sarah Soosaipillai, Gehan Roylance, Rebecca Lee, Alvin J. X. Shaw, Heather Front Oncol Oncology BACKGROUND: The COVID-19 pandemic remains a pressing concern to patients with cancer as countries enter the second peak of the pandemic and beyond. It remains unclear whether cancer and its treatment contribute an independent risk for mortality in COVID-19. METHODS: We included patients at a London tertiary hospital with laboratory confirmed SARS-CoV-2 infection. All patients with a history of solid cancer were included. Age- and sex-matched patients without cancer were randomly selected. Patients with hematological malignancies were excluded. RESULTS: We identified 94 patients with cancer, matched to 226 patients without cancer. After adjusting for age, ethnicity, and co-morbidities, patients with cancer had increased mortality following COVID-19 (HR 1.57, 95% CI:1.04–2.4, p = 0.03). Increasing age (HR 1.49 every 10 years, 95% CI:1.25–1.8, p < 0.001), South Asian ethnicity (HR 2.92, 95% CI:1.73–4.9, p < 0.001), and cerebrovascular disease (HR 1.93, 95% CI:1.18–3.2, p = 0.008) also predicted mortality. Within the cancer cohort, systemic anti-cancer therapy (SACT) within 60 days of COVID-19 diagnosis was an independent risk factor for mortality (HR 2.30, 95% CI: 1.16–4.6, p = 0.02). CONCLUSIONS: Along with known risk factors, cancer and SACT confer an independent risk for mortality following COVID-19. Further studies are needed to understand the socio-economic influences and pathophysiology of these associations. Frontiers Media S.A. 2020-11-20 /pmc/articles/PMC7714940/ /pubmed/33330085 http://dx.doi.org/10.3389/fonc.2020.595804 Text en Copyright © 2020 Sng, Wong, Wu, Ottaviani, Chopra, Galazi, Benafif, Soosaipillai, Roylance, Lee and Shaw http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Sng, Christopher C. T. Wong, Yien Ning Sophia Wu, Anjui Ottaviani, Diego Chopra, Neha Galazi, Myria Benafif, Sarah Soosaipillai, Gehan Roylance, Rebecca Lee, Alvin J. X. Shaw, Heather Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience |
title | Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience |
title_full | Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience |
title_fullStr | Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience |
title_full_unstemmed | Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience |
title_short | Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience |
title_sort | cancer history and systemic anti-cancer therapy independently predict covid-19 mortality: a uk tertiary hospital experience |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714940/ https://www.ncbi.nlm.nih.gov/pubmed/33330085 http://dx.doi.org/10.3389/fonc.2020.595804 |
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