Predictive value of neutrophil-to-lymphocyte ratio for the fatality of COVID-19 patients complicated with cardiovascular diseases and/or risk factors

Previous studies have reported that a high neutrophil-to-lymphocyte ratio (NLR) is associated with disease severity and poor prognosis in COVID-19 patients. We aimed to investigate the clinical implications of NLR in patients with COVID-19 complicated with cardiovascular diseases and/or its risk fac...

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Published in:Scientific reports 2022-08, Vol.12 (1), p.13606-13606, Article 13606
Main Authors: Higaki, Akinori, Okayama, Hideki, Homma, Yoshito, Sano, Takahide, Kitai, Takeshi, Yonetsu, Taishi, Torii, Sho, Kohsaka, Shun, Kuroda, Shunsuke, Node, Koichi, Matsue, Yuya, Matsumoto, Shingo
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631/250/255/2514
692/4019/592/75
692/499
Cardiovascular diseases
Coronaviruses
COVID-19
Data collection
Embedding
Humanities and Social Sciences
Leukocytes (neutrophilic)
Lymphocytes
Medical prognosis
Mortality
multidisciplinary
Neutrophils
Patients
Risk factors
Science
Science (multidisciplinary)
Survival analysis
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creator Higaki, Akinori
Okayama, Hideki
Homma, Yoshito
Sano, Takahide
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Torii, Sho
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Kuroda, Shunsuke
Node, Koichi
Matsue, Yuya
Matsumoto, Shingo
description Previous studies have reported that a high neutrophil-to-lymphocyte ratio (NLR) is associated with disease severity and poor prognosis in COVID-19 patients. We aimed to investigate the clinical implications of NLR in patients with COVID-19 complicated with cardiovascular diseases and/or its risk factors (CVDRF). In total, 601 patients with known NLR values were selected from the CLAVIS-COVID registry for analysis. Patients were categorized into quartiles (Q1, Q2, Q3, and Q4) according to baseline NLR values, and demographic and clinical parameters were compared between the groups. Survival analysis was conducted using the Kaplan–Meier method. The diagnostic performance of the baseline and follow-up NLR values was tested using receiver operating characteristic (ROC) curve analysis. Finally, two-dimensional mapping of patient characteristics was conducted using t-stochastic neighborhood embedding (t-SNE). In-hospital mortality significantly increased with an increase in the baseline NLR quartile (Q1 6.3%, Q2 11.0%, Q3 20.5%; and Q4, 26.6%; p 
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subjects 631/250/255/2514
692/4019/592/75
692/499
Cardiovascular diseases
Coronaviruses
COVID-19
Data collection
Embedding
Humanities and Social Sciences
Leukocytes (neutrophilic)
Lymphocytes
Medical prognosis
Mortality
multidisciplinary
Neutrophils
Patients
Risk factors
Science
Science (multidisciplinary)
Survival analysis
title Predictive value of neutrophil-to-lymphocyte ratio for the fatality of COVID-19 patients complicated with cardiovascular diseases and/or risk factors
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