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Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study

BACKGROUND: Coronavirus disease 2019 (COVID-19) has spread around the world. This retrospective study aims to analyze the clinical features of COVID-19 patients with cancer and identify death outcome related risk factors. METHODS: From February 10th to April 15th, 2020, 103 COVID-19 patients with ca...

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Autores principales: Zhou, Yi, Yang, Qiao, Ye, Jun, Wu, Xiaocheng, Hou, Xianhua, Feng, Yimei, Luo, Bangyu, Li, Jixi, Yang, Guangrong, Li, Lingchen, Yang, Xiu, Wang, Bin, Zhao, Songtao, Li, Li, Li, Qi, Xu, Zhi, Wu, Hao, Sun, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340077/
https://www.ncbi.nlm.nih.gov/pubmed/34353293
http://dx.doi.org/10.1186/s12879-021-06495-9
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author Zhou, Yi
Yang, Qiao
Ye, Jun
Wu, Xiaocheng
Hou, Xianhua
Feng, Yimei
Luo, Bangyu
Li, Jixi
Yang, Guangrong
Li, Lingchen
Yang, Xiu
Wang, Bin
Zhao, Songtao
Li, Li
Li, Qi
Xu, Zhi
Wu, Hao
Sun, Jianguo
author_facet Zhou, Yi
Yang, Qiao
Ye, Jun
Wu, Xiaocheng
Hou, Xianhua
Feng, Yimei
Luo, Bangyu
Li, Jixi
Yang, Guangrong
Li, Lingchen
Yang, Xiu
Wang, Bin
Zhao, Songtao
Li, Li
Li, Qi
Xu, Zhi
Wu, Hao
Sun, Jianguo
author_sort Zhou, Yi
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) has spread around the world. This retrospective study aims to analyze the clinical features of COVID-19 patients with cancer and identify death outcome related risk factors. METHODS: From February 10th to April 15th, 2020, 103 COVID-19 patients with cancer were enrolled. Difference analyses were performed between severe and non-severe patients. A propensity score matching (PSM) analysis was performed, including 103 COVID-19 patients with cancer and 206 matched non-cancer COVID-19 patients. Next, we identified death related risk factors and developed a nomogram for predicting the probability. RESULTS: In 103 COVID-19 patients with cancer, the main cancer categories were breast cancer, lung cancer and bladder cancer. Compared to non-severe patients, severe patients had a higher median age, and a higher proportion of smokers, diabetes, heart disease and dyspnea. In addition, most of the laboratory results between two groups were significantly different. PSM analysis found that the proportion of dyspnea was much higher in COVID-19 patients with cancer. The severity incidence in two groups were similar, while a much higher mortality was found in COVID-19 patients with cancer compared to that in COVID-19 patients without cancer (11.7% vs. 4.4%, P = 0.028). Furthermore, we found that neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) were related to death outcome. And a nomogram based on the factors was developed. CONCLUSION: In COVID-19 patients with cancer, the clinical features and laboratory results between severe group and non-severe group were significantly different. NLR and CRP were the risk factors that could predict death outcome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06495-9.
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spelling pubmed-83400772021-08-06 Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study Zhou, Yi Yang, Qiao Ye, Jun Wu, Xiaocheng Hou, Xianhua Feng, Yimei Luo, Bangyu Li, Jixi Yang, Guangrong Li, Lingchen Yang, Xiu Wang, Bin Zhao, Songtao Li, Li Li, Qi Xu, Zhi Wu, Hao Sun, Jianguo BMC Infect Dis Research Article BACKGROUND: Coronavirus disease 2019 (COVID-19) has spread around the world. This retrospective study aims to analyze the clinical features of COVID-19 patients with cancer and identify death outcome related risk factors. METHODS: From February 10th to April 15th, 2020, 103 COVID-19 patients with cancer were enrolled. Difference analyses were performed between severe and non-severe patients. A propensity score matching (PSM) analysis was performed, including 103 COVID-19 patients with cancer and 206 matched non-cancer COVID-19 patients. Next, we identified death related risk factors and developed a nomogram for predicting the probability. RESULTS: In 103 COVID-19 patients with cancer, the main cancer categories were breast cancer, lung cancer and bladder cancer. Compared to non-severe patients, severe patients had a higher median age, and a higher proportion of smokers, diabetes, heart disease and dyspnea. In addition, most of the laboratory results between two groups were significantly different. PSM analysis found that the proportion of dyspnea was much higher in COVID-19 patients with cancer. The severity incidence in two groups were similar, while a much higher mortality was found in COVID-19 patients with cancer compared to that in COVID-19 patients without cancer (11.7% vs. 4.4%, P = 0.028). Furthermore, we found that neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) were related to death outcome. And a nomogram based on the factors was developed. CONCLUSION: In COVID-19 patients with cancer, the clinical features and laboratory results between severe group and non-severe group were significantly different. NLR and CRP were the risk factors that could predict death outcome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06495-9. BioMed Central 2021-08-05 /pmc/articles/PMC8340077/ /pubmed/34353293 http://dx.doi.org/10.1186/s12879-021-06495-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zhou, Yi
Yang, Qiao
Ye, Jun
Wu, Xiaocheng
Hou, Xianhua
Feng, Yimei
Luo, Bangyu
Li, Jixi
Yang, Guangrong
Li, Lingchen
Yang, Xiu
Wang, Bin
Zhao, Songtao
Li, Li
Li, Qi
Xu, Zhi
Wu, Hao
Sun, Jianguo
Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study
title Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study
title_full Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study
title_fullStr Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study
title_full_unstemmed Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study
title_short Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study
title_sort clinical features and death risk factors in covid-19 patients with cancer: a retrospective study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340077/
https://www.ncbi.nlm.nih.gov/pubmed/34353293
http://dx.doi.org/10.1186/s12879-021-06495-9
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