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Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
by
Xu, Yanli
, Song, Rui
, Zhou, Guiqin
, Zhang, Ting
, Zhang, Wei
, Li, Chuansheng
, Yang, Li
, Pu, Lin
, Xiong, Haofeng
, Xiang, Pan
, Liu, Yao
, Tan, Jianbo
, Chen, Zhihai
, Song, Meihua
, Li, Ben
, Liu, Jingyuan
, Wang, Lin
, Wang, Xiaojing
, Wang, Yanbin
, Wang, Xianbo
, Zhang, Ming
, Han, Bing
in
2019-nCoV
/ Adolescent
/ Adult
/ Adult respiratory distress syndrome
/ Aged
/ Aged, 80 and over
/ Betacoronavirus - pathogenicity
/ Biomedical and Life Sciences
/ Biomedicine
/ Blood
/ Child
/ Child, Preschool
/ Cohort Studies
/ Comorbidity
/ Coronaviridae
/ Coronavirus infections
/ Coronavirus Infections - blood
/ Coronavirus Infections - diagnosis
/ Coronavirus Infections - pathology
/ Coronaviruses
/ COVID-19
/ Critical Illness
/ Development and progression
/ Disease Progression
/ Dyspnea
/ Etiology
/ Female
/ Fever
/ Health aspects
/ History, 21st Century
/ Humans
/ Illnesses
/ Immunobiology and immunotherapy
/ Infant
/ Infection
/ Infections
/ Influenza
/ Laboratories
/ Leukocyte Count
/ Lymphocytes
/ Lymphocytes - pathology
/ Male
/ Medical diagnosis
/ Medical research
/ Medicine/Public Health
/ Middle Aged
/ Neutrophils
/ Neutrophils - pathology
/ NLR
/ Nomograms
/ Pandemics
/ Patients
/ Pneumonia
/ Pneumonia, Viral - blood
/ Pneumonia, Viral - diagnosis
/ Pneumonia, Viral - pathology
/ Polymerase chain reaction
/ Prognosis
/ Prospective Studies
/ Regression analysis
/ Respiratory failure
/ Risk factors
/ SARS-CoV
/ SARS-CoV-2
/ Severity of Illness Index
/ Young Adult
2020
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Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
by
Xu, Yanli
, Song, Rui
, Zhou, Guiqin
, Zhang, Ting
, Zhang, Wei
, Li, Chuansheng
, Yang, Li
, Pu, Lin
, Xiong, Haofeng
, Xiang, Pan
, Liu, Yao
, Tan, Jianbo
, Chen, Zhihai
, Song, Meihua
, Li, Ben
, Liu, Jingyuan
, Wang, Lin
, Wang, Xiaojing
, Wang, Yanbin
, Wang, Xianbo
, Zhang, Ming
, Han, Bing
in
2019-nCoV
/ Adolescent
/ Adult
/ Adult respiratory distress syndrome
/ Aged
/ Aged, 80 and over
/ Betacoronavirus - pathogenicity
/ Biomedical and Life Sciences
/ Biomedicine
/ Blood
/ Child
/ Child, Preschool
/ Cohort Studies
/ Comorbidity
/ Coronaviridae
/ Coronavirus infections
/ Coronavirus Infections - blood
/ Coronavirus Infections - diagnosis
/ Coronavirus Infections - pathology
/ Coronaviruses
/ COVID-19
/ Critical Illness
/ Development and progression
/ Disease Progression
/ Dyspnea
/ Etiology
/ Female
/ Fever
/ Health aspects
/ History, 21st Century
/ Humans
/ Illnesses
/ Immunobiology and immunotherapy
/ Infant
/ Infection
/ Infections
/ Influenza
/ Laboratories
/ Leukocyte Count
/ Lymphocytes
/ Lymphocytes - pathology
/ Male
/ Medical diagnosis
/ Medical research
/ Medicine/Public Health
/ Middle Aged
/ Neutrophils
/ Neutrophils - pathology
/ NLR
/ Nomograms
/ Pandemics
/ Patients
/ Pneumonia
/ Pneumonia, Viral - blood
/ Pneumonia, Viral - diagnosis
/ Pneumonia, Viral - pathology
/ Polymerase chain reaction
/ Prognosis
/ Prospective Studies
/ Regression analysis
/ Respiratory failure
/ Risk factors
/ SARS-CoV
/ SARS-CoV-2
/ Severity of Illness Index
/ Young Adult
2020
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Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
by
Xu, Yanli
, Song, Rui
, Zhou, Guiqin
, Zhang, Ting
, Zhang, Wei
, Li, Chuansheng
, Yang, Li
, Pu, Lin
, Xiong, Haofeng
, Xiang, Pan
, Liu, Yao
, Tan, Jianbo
, Chen, Zhihai
, Song, Meihua
, Li, Ben
, Liu, Jingyuan
, Wang, Lin
, Wang, Xiaojing
, Wang, Yanbin
, Wang, Xianbo
, Zhang, Ming
, Han, Bing
in
2019-nCoV
/ Adolescent
/ Adult
/ Adult respiratory distress syndrome
/ Aged
/ Aged, 80 and over
/ Betacoronavirus - pathogenicity
/ Biomedical and Life Sciences
/ Biomedicine
/ Blood
/ Child
/ Child, Preschool
/ Cohort Studies
/ Comorbidity
/ Coronaviridae
/ Coronavirus infections
/ Coronavirus Infections - blood
/ Coronavirus Infections - diagnosis
/ Coronavirus Infections - pathology
/ Coronaviruses
/ COVID-19
/ Critical Illness
/ Development and progression
/ Disease Progression
/ Dyspnea
/ Etiology
/ Female
/ Fever
/ Health aspects
/ History, 21st Century
/ Humans
/ Illnesses
/ Immunobiology and immunotherapy
/ Infant
/ Infection
/ Infections
/ Influenza
/ Laboratories
/ Leukocyte Count
/ Lymphocytes
/ Lymphocytes - pathology
/ Male
/ Medical diagnosis
/ Medical research
/ Medicine/Public Health
/ Middle Aged
/ Neutrophils
/ Neutrophils - pathology
/ NLR
/ Nomograms
/ Pandemics
/ Patients
/ Pneumonia
/ Pneumonia, Viral - blood
/ Pneumonia, Viral - diagnosis
/ Pneumonia, Viral - pathology
/ Polymerase chain reaction
/ Prognosis
/ Prospective Studies
/ Regression analysis
/ Respiratory failure
/ Risk factors
/ SARS-CoV
/ SARS-CoV-2
/ Severity of Illness Index
/ Young Adult
2020
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Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
Journal Article
Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
2020
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Overview
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.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Adult
/ Adult respiratory distress syndrome
/ Aged
/ Betacoronavirus - pathogenicity
/ Biomedical and Life Sciences
/ Blood
/ Child
/ Coronavirus Infections - blood
/ Coronavirus Infections - diagnosis
/ Coronavirus Infections - pathology
/ COVID-19
/ Dyspnea
/ Etiology
/ Female
/ Fever
/ Humans
/ Immunobiology and immunotherapy
/ Infant
/ Male
/ NLR
/ Patients
/ Pneumonia, Viral - diagnosis
/ Pneumonia, Viral - pathology
/ SARS-CoV
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