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Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage

BACKGROUND: Patients with critical illness due to infection with the 2019 coronavirus disease (COVID-19) show rapid disease progression to acute respiratory failure. The study aimed to screen the most useful predictive factor for critical illness caused by COVID-19. METHODS: The study prospectively...

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Autores principales: Liu, Jingyuan, Liu, Yao, Xiang, Pan, Pu, Lin, Xiong, Haofeng, Li, Chuansheng, Zhang, Ming, Tan, Jianbo, Xu, Yanli, Song, Rui, Song, Meihua, Wang, Lin, Zhang, Wei, Han, Bing, Yang, Li, Wang, Xiaojing, Zhou, Guiqin, Zhang, Ting, Li, Ben, Wang, Yanbin, Chen, Zhihai, Wang, Xianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237880/
https://www.ncbi.nlm.nih.gov/pubmed/32434518
http://dx.doi.org/10.1186/s12967-020-02374-0
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author Liu, Jingyuan
Liu, Yao
Xiang, Pan
Pu, Lin
Xiong, Haofeng
Li, Chuansheng
Zhang, Ming
Tan, Jianbo
Xu, Yanli
Song, Rui
Song, Meihua
Wang, Lin
Zhang, Wei
Han, Bing
Yang, Li
Wang, Xiaojing
Zhou, Guiqin
Zhang, Ting
Li, Ben
Wang, Yanbin
Chen, Zhihai
Wang, Xianbo
author_facet Liu, Jingyuan
Liu, Yao
Xiang, Pan
Pu, Lin
Xiong, Haofeng
Li, Chuansheng
Zhang, Ming
Tan, Jianbo
Xu, Yanli
Song, Rui
Song, Meihua
Wang, Lin
Zhang, Wei
Han, Bing
Yang, Li
Wang, Xiaojing
Zhou, Guiqin
Zhang, Ting
Li, Ben
Wang, Yanbin
Chen, Zhihai
Wang, Xianbo
author_sort Liu, Jingyuan
collection PubMed
description BACKGROUND: Patients with critical illness due to infection with the 2019 coronavirus disease (COVID-19) show rapid disease progression to acute respiratory failure. The study aimed to screen the most useful predictive factor for critical illness caused by COVID-19. METHODS: The study prospectively involved 61 patients with COVID-19 infection as a derivation cohort, and 54 patients as a validation cohort. The predictive factor for critical illness was selected using LASSO regression analysis. A nomogram based on non-specific laboratory indicators was built to predict the probability of critical illness. RESULTS: The neutrophil-to-lymphocyte ratio (NLR) was identified as an independent risk factor for critical illness in patients with COVID-19 infection. The NLR had an area under receiver operating characteristic of 0.849 (95% confidence interval [CI], 0.707 to 0.991) in the derivation cohort and 0.867 (95% CI 0.747 to 0.944) in the validation cohort, the calibration curves fitted well, and the decision and clinical impact curves showed that the NLR had high standardized net benefit. In addition, the incidence of critical illness was 9.1% (1/11) for patients aged ≥ 50 and having an NLR < 3.13, and 50% (7/14) patients with age ≥ 50 and NLR ≥ 3.13 were predicted to develop critical illness. Based on the risk stratification of NLR according to age, this study has developed a COVID-19 pneumonia management process. CONCLUSIONS: We found that NLR is a predictive factor for early-stage prediction of patients infected with COVID-19 who are likely to develop critical illness. Patients aged ≥ 50 and having an NLR ≥ 3.13 are predicted to develop critical illness, and they should thus have rapid access to an intensive care unit if necessary.
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spelling pubmed-72378802020-05-20 Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage Liu, Jingyuan Liu, Yao Xiang, Pan Pu, Lin Xiong, Haofeng Li, Chuansheng Zhang, Ming Tan, Jianbo Xu, Yanli Song, Rui Song, Meihua Wang, Lin Zhang, Wei Han, Bing Yang, Li Wang, Xiaojing Zhou, Guiqin Zhang, Ting Li, Ben Wang, Yanbin Chen, Zhihai Wang, Xianbo J Transl Med Research BACKGROUND: Patients with critical illness due to infection with the 2019 coronavirus disease (COVID-19) show rapid disease progression to acute respiratory failure. The study aimed to screen the most useful predictive factor for critical illness caused by COVID-19. METHODS: The study prospectively involved 61 patients with COVID-19 infection as a derivation cohort, and 54 patients as a validation cohort. The predictive factor for critical illness was selected using LASSO regression analysis. A nomogram based on non-specific laboratory indicators was built to predict the probability of critical illness. RESULTS: The neutrophil-to-lymphocyte ratio (NLR) was identified as an independent risk factor for critical illness in patients with COVID-19 infection. The NLR had an area under receiver operating characteristic of 0.849 (95% confidence interval [CI], 0.707 to 0.991) in the derivation cohort and 0.867 (95% CI 0.747 to 0.944) in the validation cohort, the calibration curves fitted well, and the decision and clinical impact curves showed that the NLR had high standardized net benefit. In addition, the incidence of critical illness was 9.1% (1/11) for patients aged ≥ 50 and having an NLR < 3.13, and 50% (7/14) patients with age ≥ 50 and NLR ≥ 3.13 were predicted to develop critical illness. Based on the risk stratification of NLR according to age, this study has developed a COVID-19 pneumonia management process. CONCLUSIONS: We found that NLR is a predictive factor for early-stage prediction of patients infected with COVID-19 who are likely to develop critical illness. Patients aged ≥ 50 and having an NLR ≥ 3.13 are predicted to develop critical illness, and they should thus have rapid access to an intensive care unit if necessary. BioMed Central 2020-05-20 /pmc/articles/PMC7237880/ /pubmed/32434518 http://dx.doi.org/10.1186/s12967-020-02374-0 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Liu, Jingyuan
Liu, Yao
Xiang, Pan
Pu, Lin
Xiong, Haofeng
Li, Chuansheng
Zhang, Ming
Tan, Jianbo
Xu, Yanli
Song, Rui
Song, Meihua
Wang, Lin
Zhang, Wei
Han, Bing
Yang, Li
Wang, Xiaojing
Zhou, Guiqin
Zhang, Ting
Li, Ben
Wang, Yanbin
Chen, Zhihai
Wang, Xianbo
Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
title Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
title_full Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
title_fullStr Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
title_full_unstemmed Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
title_short Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
title_sort neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237880/
https://www.ncbi.nlm.nih.gov/pubmed/32434518
http://dx.doi.org/10.1186/s12967-020-02374-0
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