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The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD

PURPOSE: To evaluate the accuracy of inflammatory biomarkers in differentiating patients with asthma–COPD overlap (ACO) from those with COPD alone. METHODS: Clinical data of 134 patients with COPD and 48 patients with ACO admitted to the First Affiliated Hospital of Xi’an Jiaotong University from Ja...

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Autores principales: Li, Meng, Yang, Tian, He, Ruiqing, Li, Anqi, Dang, Wenhui, Liu, Xinyu, Chen, Mingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685357/
https://www.ncbi.nlm.nih.gov/pubmed/33244228
http://dx.doi.org/10.2147/COPD.S273422
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author Li, Meng
Yang, Tian
He, Ruiqing
Li, Anqi
Dang, Wenhui
Liu, Xinyu
Chen, Mingwei
author_facet Li, Meng
Yang, Tian
He, Ruiqing
Li, Anqi
Dang, Wenhui
Liu, Xinyu
Chen, Mingwei
author_sort Li, Meng
collection PubMed
description PURPOSE: To evaluate the accuracy of inflammatory biomarkers in differentiating patients with asthma–COPD overlap (ACO) from those with COPD alone. METHODS: Clinical data of 134 patients with COPD and 48 patients with ACO admitted to the First Affiliated Hospital of Xi’an Jiaotong University from January 2016 to June 2019 were retrospectively analyzed. Receiver operating characteristic (ROC) curve analysis was performed to determine the best cut-off values of fractional exhaled nitric oxide (FeNO), blood eosinophil counts (EOS), and neutrophil to lymphocyte ratio (NLR) for differentiating between ACO and COPD alone. Spearman correlation analysis was conducted to evaluate the relationships between these inflammatory biomarkers and the forced expiratory volume in one second/prediction (FEV(1)%pred). RESULTS: FeNO and EOS in the ACO patients were significantly higher than those in the COPD patients (FeNO: median 37.50 vs 24.50 ppb, P < 0.001; EOS: median 0.20 vs 0.10 ×10(9)/L, P = 0.004). FeNO was positively correlated with FEV(1)%pred (r = 0.314, P = 0.030), while NLR was negatively correlated with FEV(1)%pred (r = −0.372, P = 0.009) in patients with ACO. In addition, a positive correlation between FeNO and EOS was also found in ACO, especially in patients without history of inhaled corticosteroids (ICS) use (r = 0.682, P < 0.001). The optimal cut-off value of FeNO was 31.5 ppb (AUC = 0.758, 95% CI = 0.631–0.886) in patients with smoking history, with 70.0% sensitivity and 89.9% specificity for differentiating ACO from COPD. In patients without history of ICS use, the best cut-off value of FeNO was 39.5 ppb (AUC = 0.740, 95% CI = 0.610–0.870), with 58.3% sensitivity and 84.9% specificity. Among patients without history of ICS use and smoking, 27.5 ppb was optimal cut-off level for FeNO (AUC = 0.744, 95% CI = 0.579–0.908) to diagnose ACO, with 81.8% sensitivity and 60.7% specificity, and the sensitivity was improved to 91.7% when FeNO was combined with EOS. CONCLUSION: The inflammatory biomarkers FeNO and EOS can be used as indicators for differentiating between ACO and COPD alone.
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spelling pubmed-76853572020-11-25 The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD Li, Meng Yang, Tian He, Ruiqing Li, Anqi Dang, Wenhui Liu, Xinyu Chen, Mingwei Int J Chron Obstruct Pulmon Dis Original Research PURPOSE: To evaluate the accuracy of inflammatory biomarkers in differentiating patients with asthma–COPD overlap (ACO) from those with COPD alone. METHODS: Clinical data of 134 patients with COPD and 48 patients with ACO admitted to the First Affiliated Hospital of Xi’an Jiaotong University from January 2016 to June 2019 were retrospectively analyzed. Receiver operating characteristic (ROC) curve analysis was performed to determine the best cut-off values of fractional exhaled nitric oxide (FeNO), blood eosinophil counts (EOS), and neutrophil to lymphocyte ratio (NLR) for differentiating between ACO and COPD alone. Spearman correlation analysis was conducted to evaluate the relationships between these inflammatory biomarkers and the forced expiratory volume in one second/prediction (FEV(1)%pred). RESULTS: FeNO and EOS in the ACO patients were significantly higher than those in the COPD patients (FeNO: median 37.50 vs 24.50 ppb, P < 0.001; EOS: median 0.20 vs 0.10 ×10(9)/L, P = 0.004). FeNO was positively correlated with FEV(1)%pred (r = 0.314, P = 0.030), while NLR was negatively correlated with FEV(1)%pred (r = −0.372, P = 0.009) in patients with ACO. In addition, a positive correlation between FeNO and EOS was also found in ACO, especially in patients without history of inhaled corticosteroids (ICS) use (r = 0.682, P < 0.001). The optimal cut-off value of FeNO was 31.5 ppb (AUC = 0.758, 95% CI = 0.631–0.886) in patients with smoking history, with 70.0% sensitivity and 89.9% specificity for differentiating ACO from COPD. In patients without history of ICS use, the best cut-off value of FeNO was 39.5 ppb (AUC = 0.740, 95% CI = 0.610–0.870), with 58.3% sensitivity and 84.9% specificity. Among patients without history of ICS use and smoking, 27.5 ppb was optimal cut-off level for FeNO (AUC = 0.744, 95% CI = 0.579–0.908) to diagnose ACO, with 81.8% sensitivity and 60.7% specificity, and the sensitivity was improved to 91.7% when FeNO was combined with EOS. CONCLUSION: The inflammatory biomarkers FeNO and EOS can be used as indicators for differentiating between ACO and COPD alone. Dove 2020-11-20 /pmc/articles/PMC7685357/ /pubmed/33244228 http://dx.doi.org/10.2147/COPD.S273422 Text en © 2020 Li et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Li, Meng
Yang, Tian
He, Ruiqing
Li, Anqi
Dang, Wenhui
Liu, Xinyu
Chen, Mingwei
The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD
title The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD
title_full The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD
title_fullStr The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD
title_full_unstemmed The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD
title_short The Value of Inflammatory Biomarkers in Differentiating Asthma–COPD Overlap from COPD
title_sort value of inflammatory biomarkers in differentiating asthma–copd overlap from copd
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685357/
https://www.ncbi.nlm.nih.gov/pubmed/33244228
http://dx.doi.org/10.2147/COPD.S273422
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