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Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study

BACKGROUND: Cystic Fibrosis (CF) is characterized by chronically inflamed airways, and inflammation even increases during pulmonary exacerbations. These adverse events have an important influence on the well-being, quality of life, and lung function of patients with CF. Prediction of exacerbations b...

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Autores principales: van Horck, Marieke, Alonso, Ariel, Wesseling, Geertjan, de Winter—de Groot, Karin, van Aalderen, Wim, Hendriks, Han, Winkens, Bjorn, Rijkers, Ger, Jöbsis, Quirijn, Dompeling, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822839/
https://www.ncbi.nlm.nih.gov/pubmed/27049850
http://dx.doi.org/10.1371/journal.pone.0152156
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author van Horck, Marieke
Alonso, Ariel
Wesseling, Geertjan
de Winter—de Groot, Karin
van Aalderen, Wim
Hendriks, Han
Winkens, Bjorn
Rijkers, Ger
Jöbsis, Quirijn
Dompeling, Edward
author_facet van Horck, Marieke
Alonso, Ariel
Wesseling, Geertjan
de Winter—de Groot, Karin
van Aalderen, Wim
Hendriks, Han
Winkens, Bjorn
Rijkers, Ger
Jöbsis, Quirijn
Dompeling, Edward
author_sort van Horck, Marieke
collection PubMed
description BACKGROUND: Cystic Fibrosis (CF) is characterized by chronically inflamed airways, and inflammation even increases during pulmonary exacerbations. These adverse events have an important influence on the well-being, quality of life, and lung function of patients with CF. Prediction of exacerbations by inflammatory markers in exhaled breath condensate (EBC) combined with early treatment may prevent these pulmonary exacerbations and may improve the prognosis. AIM: To investigate the diagnostic accuracy of a set of inflammatory markers in EBC to predict pulmonary exacerbations in children with CF. METHODS: In this one-year prospective observational study, 49 children with CF were included. During study visits with an interval of 2 months, a symptom questionnaire was completed, EBC was collected, and lung function measurements were performed. The acidity of EBC was measured directly after collection. Inflammatory markers interleukin (IL)-6, IL-8, tumor necrosis factor α (TNF-α), and macrophage migration inhibitory factor (MIF) were measured using high sensitivity bead based flow immunoassays. Pulmonary exacerbations were recorded during the study and were defined in two ways. The predictive power of inflammatory markers and the other covariates was assessed using conditionally specified models and a receiver operating characteristic curve (SAS version 9.2). In addition, k-nearest neighbors (KNN) algorithm was applied (SAS version 9.2). RESULTS: Sixty-five percent of the children had one or more exacerbations during the study. The conditionally specified models showed an overall correct prediction rate of 55%. The area under the curve (AUC) was equal to 0.62. The results obtained with the KNN algorithm were very similar. CONCLUSION: Although there is some evidence indicating that the predictors outperform random guessing, the general diagnostic accuracy of EBC acidity and the EBC inflammatory markers IL-6, IL-8, TNF-α and MIF is low. At present it is not possible to predict pulmonary exacerbations in children with CF with the chosen biomarkers and the method of EBC analysis. The biochemical measurements of EBC markers should be improved and other techniques should be considered.
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spelling pubmed-48228392016-04-22 Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study van Horck, Marieke Alonso, Ariel Wesseling, Geertjan de Winter—de Groot, Karin van Aalderen, Wim Hendriks, Han Winkens, Bjorn Rijkers, Ger Jöbsis, Quirijn Dompeling, Edward PLoS One Research Article BACKGROUND: Cystic Fibrosis (CF) is characterized by chronically inflamed airways, and inflammation even increases during pulmonary exacerbations. These adverse events have an important influence on the well-being, quality of life, and lung function of patients with CF. Prediction of exacerbations by inflammatory markers in exhaled breath condensate (EBC) combined with early treatment may prevent these pulmonary exacerbations and may improve the prognosis. AIM: To investigate the diagnostic accuracy of a set of inflammatory markers in EBC to predict pulmonary exacerbations in children with CF. METHODS: In this one-year prospective observational study, 49 children with CF were included. During study visits with an interval of 2 months, a symptom questionnaire was completed, EBC was collected, and lung function measurements were performed. The acidity of EBC was measured directly after collection. Inflammatory markers interleukin (IL)-6, IL-8, tumor necrosis factor α (TNF-α), and macrophage migration inhibitory factor (MIF) were measured using high sensitivity bead based flow immunoassays. Pulmonary exacerbations were recorded during the study and were defined in two ways. The predictive power of inflammatory markers and the other covariates was assessed using conditionally specified models and a receiver operating characteristic curve (SAS version 9.2). In addition, k-nearest neighbors (KNN) algorithm was applied (SAS version 9.2). RESULTS: Sixty-five percent of the children had one or more exacerbations during the study. The conditionally specified models showed an overall correct prediction rate of 55%. The area under the curve (AUC) was equal to 0.62. The results obtained with the KNN algorithm were very similar. CONCLUSION: Although there is some evidence indicating that the predictors outperform random guessing, the general diagnostic accuracy of EBC acidity and the EBC inflammatory markers IL-6, IL-8, TNF-α and MIF is low. At present it is not possible to predict pulmonary exacerbations in children with CF with the chosen biomarkers and the method of EBC analysis. The biochemical measurements of EBC markers should be improved and other techniques should be considered. Public Library of Science 2016-04-06 /pmc/articles/PMC4822839/ /pubmed/27049850 http://dx.doi.org/10.1371/journal.pone.0152156 Text en © 2016 van Horck et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
van Horck, Marieke
Alonso, Ariel
Wesseling, Geertjan
de Winter—de Groot, Karin
van Aalderen, Wim
Hendriks, Han
Winkens, Bjorn
Rijkers, Ger
Jöbsis, Quirijn
Dompeling, Edward
Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study
title Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study
title_full Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study
title_fullStr Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study
title_full_unstemmed Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study
title_short Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis: Results of a One-Year Observational Study
title_sort biomarkers in exhaled breath condensate are not predictive for pulmonary exacerbations in children with cystic fibrosis: results of a one-year observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822839/
https://www.ncbi.nlm.nih.gov/pubmed/27049850
http://dx.doi.org/10.1371/journal.pone.0152156
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