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Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study
BACKGROUND: Data on clinical, laboratory, and radiographic characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19 are scarce. Here, we aimed to characterize the early clinical features of lung cancer patients with COVID‐19 and identify risk factors associate...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779192/ https://www.ncbi.nlm.nih.gov/pubmed/33142039 http://dx.doi.org/10.1111/1759-7714.13710 |
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author | Nie, Lei Dai, Kai Wu, Jiang Zhou, Xia Hu, Junjun Zhang, Chao Zhan, Yan Song, Yu Fan, Wen Hu, Zhimin Yang, Hongshan Yang, Qiong Wu, Dongde Li, Fajiu Li, Daoyuan Nie, Rui |
author_facet | Nie, Lei Dai, Kai Wu, Jiang Zhou, Xia Hu, Junjun Zhang, Chao Zhan, Yan Song, Yu Fan, Wen Hu, Zhimin Yang, Hongshan Yang, Qiong Wu, Dongde Li, Fajiu Li, Daoyuan Nie, Rui |
author_sort | Nie, Lei |
collection | PubMed |
description | BACKGROUND: Data on clinical, laboratory, and radiographic characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19 are scarce. Here, we aimed to characterize the early clinical features of lung cancer patients with COVID‐19 and identify risk factors associated with in‐hospital mortality. METHODS: All consecutive lung cancer patients with laboratory‐confirmed COVID‐19 admitted to 12 hospitals in Hubei province, China, from 3 January to 6 May 2020 were included in the study. Patients without definite clinical outcomes during the period were excluded. Data on initial clinical, laboratory and radiographic findings were compared between survivors and nonsurvivors. Univariable and multivariable logistic regression analyses were used to explore the risk factors associated with in‐hospital mortality. RESULTS: Of the 45 lung cancer patients (median [interquartile range] age, 66 [58–74] years; 68.9% males) included, 34 (75.6%) discharged and 11 (24.4%) died. Fever (73.3%) and cough (53.3%) were the dominant initial symptoms, and respiratory symptoms were common. Lung cancer patients also presented atypical appearances of COVID‐19. In the multivariable analysis, prolonged prolongation prothrombin time (PT) (OR = 2.1, 95% CI: 1.00–4.41, P = 0.0497) and elevated high sensitivity cardiac troponin I (hs‐TNI) (OR = 7.65, 95% CI: 1.24–47.39, P = 0.0287) were associated with an increased risk of in‐hospital mortality. CONCLUSIONS: Lung cancer patients with COVID‐19 have high in‐hospital mortality. Prolonged PT and elevated hs‐TNI are independent risk factors for in‐hospital mortality of lung cancer patients with COVID‐19. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: Lung cancer patients with COVID‐19 have atypical early symptoms and imaging features. The prolonged prothrombin time and elevated high sensitivity cardiac troponin I are independent risk factors for in‐hospital mortality of lung cancer patients with COVID‐19. WHAT THIS STUDY ADDS: This study characterizes the early clinical features of lung cancer patients with COVID‐19 in China, and identifies the risk factors associated with in‐hospital mortality of lung cancer patients with COVID‐19. |
format | Online Article Text |
id | pubmed-7779192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77791922021-01-08 Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study Nie, Lei Dai, Kai Wu, Jiang Zhou, Xia Hu, Junjun Zhang, Chao Zhan, Yan Song, Yu Fan, Wen Hu, Zhimin Yang, Hongshan Yang, Qiong Wu, Dongde Li, Fajiu Li, Daoyuan Nie, Rui Thorac Cancer Original Articles BACKGROUND: Data on clinical, laboratory, and radiographic characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19 are scarce. Here, we aimed to characterize the early clinical features of lung cancer patients with COVID‐19 and identify risk factors associated with in‐hospital mortality. METHODS: All consecutive lung cancer patients with laboratory‐confirmed COVID‐19 admitted to 12 hospitals in Hubei province, China, from 3 January to 6 May 2020 were included in the study. Patients without definite clinical outcomes during the period were excluded. Data on initial clinical, laboratory and radiographic findings were compared between survivors and nonsurvivors. Univariable and multivariable logistic regression analyses were used to explore the risk factors associated with in‐hospital mortality. RESULTS: Of the 45 lung cancer patients (median [interquartile range] age, 66 [58–74] years; 68.9% males) included, 34 (75.6%) discharged and 11 (24.4%) died. Fever (73.3%) and cough (53.3%) were the dominant initial symptoms, and respiratory symptoms were common. Lung cancer patients also presented atypical appearances of COVID‐19. In the multivariable analysis, prolonged prolongation prothrombin time (PT) (OR = 2.1, 95% CI: 1.00–4.41, P = 0.0497) and elevated high sensitivity cardiac troponin I (hs‐TNI) (OR = 7.65, 95% CI: 1.24–47.39, P = 0.0287) were associated with an increased risk of in‐hospital mortality. CONCLUSIONS: Lung cancer patients with COVID‐19 have high in‐hospital mortality. Prolonged PT and elevated hs‐TNI are independent risk factors for in‐hospital mortality of lung cancer patients with COVID‐19. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: Lung cancer patients with COVID‐19 have atypical early symptoms and imaging features. The prolonged prothrombin time and elevated high sensitivity cardiac troponin I are independent risk factors for in‐hospital mortality of lung cancer patients with COVID‐19. WHAT THIS STUDY ADDS: This study characterizes the early clinical features of lung cancer patients with COVID‐19 in China, and identifies the risk factors associated with in‐hospital mortality of lung cancer patients with COVID‐19. John Wiley & Sons Australia, Ltd 2020-11-03 2021-01 /pmc/articles/PMC7779192/ /pubmed/33142039 http://dx.doi.org/10.1111/1759-7714.13710 Text en © 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Nie, Lei Dai, Kai Wu, Jiang Zhou, Xia Hu, Junjun Zhang, Chao Zhan, Yan Song, Yu Fan, Wen Hu, Zhimin Yang, Hongshan Yang, Qiong Wu, Dongde Li, Fajiu Li, Daoyuan Nie, Rui Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study |
title | Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study |
title_full | Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study |
title_fullStr | Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study |
title_full_unstemmed | Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study |
title_short | Clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with COVID‐19: A multicenter, retrospective, cohort study |
title_sort | clinical characteristics and risk factors for in‐hospital mortality of lung cancer patients with covid‐19: a multicenter, retrospective, cohort study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779192/ https://www.ncbi.nlm.nih.gov/pubmed/33142039 http://dx.doi.org/10.1111/1759-7714.13710 |
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