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Exhaled nitric oxide and clinical phenotypes of childhood asthma
Whether exhaled NO helps to identify a specific phenotype of asthmatic patients remains debated. Our aims were to evaluate whether exhaled NO (FENO(0.05)) is independently associated (1) with underlying pathophysiological characteristics of asthma such as airway tone (bronchodilator response) and ai...
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Published in: | Respiratory research 2011-05, Vol.12 (74), p.65-65, Article 65 |
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description | Whether exhaled NO helps to identify a specific phenotype of asthmatic patients remains debated. Our aims were to evaluate whether exhaled NO (FENO(0.05)) is independently associated (1) with underlying pathophysiological characteristics of asthma such as airway tone (bronchodilator response) and airway inflammation (inhaled corticosteroid [ICS]-dependant inflammation), and (2) with clinical phenotypes of asthma.We performed multivariate (exhaled NO as dependent variable) and k-means cluster analyses in a population of 169 asthmatic children (age ± SD: 10.5 ± 2.6 years) recruited in a monocenter cohort that was characterized in a cross-sectional design using 28 parameters describing potentially different asthma domains: atopy, environment (tobacco), control, exacerbations, treatment (inhaled corticosteroid and long-acting bronchodilator agonist), and lung function (airway architecture and tone). Two subject-related characteristics (height and atopy) and two disease-related characteristics (bronchodilator response and ICS dose > 200 μg/d) explained 36% of exhaled NO variance. Nine domains were isolated using principal component analysis. Four clusters were further identified: cluster 1 (47%): boys, unexposed to tobacco, with well-controlled asthma; cluster 2 (26%): girls, unexposed to tobacco, with well-controlled asthma; cluster 3 (6%): girls or boys, unexposed to tobacco, with uncontrolled asthma associated with increased airway tone, and cluster 4 (21%): girls or boys, exposed to parental smoking, with small airway to lung size ratio and uncontrolled asthma. FENO(0.05) was not different in these four clusters.In conclusion, FENO(0.05) is independently linked to two pathophysiological characteristics of asthma (ICS-dependant inflammation and bronchomotor tone) but does not help to identify a clinically relevant phenotype of asthmatic children. |
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Our aims were to evaluate whether exhaled NO (FENO(0.05)) is independently associated (1) with underlying pathophysiological characteristics of asthma such as airway tone (bronchodilator response) and airway inflammation (inhaled corticosteroid [ICS]-dependant inflammation), and (2) with clinical phenotypes of asthma.We performed multivariate (exhaled NO as dependent variable) and k-means cluster analyses in a population of 169 asthmatic children (age ± SD: 10.5 ± 2.6 years) recruited in a monocenter cohort that was characterized in a cross-sectional design using 28 parameters describing potentially different asthma domains: atopy, environment (tobacco), control, exacerbations, treatment (inhaled corticosteroid and long-acting bronchodilator agonist), and lung function (airway architecture and tone). Two subject-related characteristics (height and atopy) and two disease-related characteristics (bronchodilator response and ICS dose > 200 μg/d) explained 36% of exhaled NO variance. Nine domains were isolated using principal component analysis. Four clusters were further identified: cluster 1 (47%): boys, unexposed to tobacco, with well-controlled asthma; cluster 2 (26%): girls, unexposed to tobacco, with well-controlled asthma; cluster 3 (6%): girls or boys, unexposed to tobacco, with uncontrolled asthma associated with increased airway tone, and cluster 4 (21%): girls or boys, exposed to parental smoking, with small airway to lung size ratio and uncontrolled asthma. FENO(0.05) was not different in these four clusters.In conclusion, FENO(0.05) is independently linked to two pathophysiological characteristics of asthma (ICS-dependant inflammation and bronchomotor tone) but does not help to identify a clinically relevant phenotype of asthmatic children.</description><identifier>ISSN: 1465-993X</identifier><identifier>ISSN: 1465-9921</identifier><identifier>EISSN: 1465-993X</identifier><identifier>DOI: 10.1186/1465-9921-12-65</identifier><identifier>PMID: 21599913</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Administration, Inhalation ; Adolescent ; Adrenal Cortex Hormones - administration & dosage ; Adrenergic beta-Agonists - administration & dosage ; Asthma - diagnosis ; Asthma - drug therapy ; Asthma - metabolism ; Asthma - physiopathology ; Asthma in children ; Biomarkers - metabolism ; Breath Tests ; Bronchial Provocation Tests ; Bronchodilator Agents - administration & dosage ; Child ; Cluster Analysis ; Corticosteroids ; Cross-Sectional Studies ; Exhalation ; Female ; Forced Expiratory Flow Rates ; Forced Expiratory Volume ; Genetic aspects ; Health aspects ; Humans ; Linear Models ; Lung - drug effects ; Lung - metabolism ; Lung - physiopathology ; Male ; Nitric oxide ; Nitric Oxide - metabolism ; Parenting ; Paris ; Phenotype ; Physiological aspects ; Plethysmography ; Predictive Value of Tests ; Principal Component Analysis ; Residual Volume ; Respiratory agents ; Risk Assessment ; Risk Factors ; Spirometry ; Total Lung Capacity ; Vital Capacity</subject><ispartof>Respiratory research, 2011-05, Vol.12 (74), p.65-65, Article 65</ispartof><rights>2011 Mahut et al; licensee BioMed Central Ltd.</rights><rights>COPYRIGHT 2011 BioMed Central Ltd.</rights><rights>Copyright ©2011 Mahut et al; licensee BioMed Central Ltd. 2011 Mahut et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b651t-79e69568b0832b3f3d13121f387c3b291d0629da3662ad0ca0f9ba8a375f80e23</citedby><cites>FETCH-LOGICAL-b651t-79e69568b0832b3f3d13121f387c3b291d0629da3662ad0ca0f9ba8a375f80e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3126727/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3126727/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21599913$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mahut, Bruno</creatorcontrib><creatorcontrib>Peyrard, Séverine</creatorcontrib><creatorcontrib>Delclaux, Christophe</creatorcontrib><title>Exhaled nitric oxide and clinical phenotypes of childhood asthma</title><title>Respiratory research</title><addtitle>Respir Res</addtitle><description>Whether exhaled NO helps to identify a specific phenotype of asthmatic patients remains debated. Our aims were to evaluate whether exhaled NO (FENO(0.05)) is independently associated (1) with underlying pathophysiological characteristics of asthma such as airway tone (bronchodilator response) and airway inflammation (inhaled corticosteroid [ICS]-dependant inflammation), and (2) with clinical phenotypes of asthma.We performed multivariate (exhaled NO as dependent variable) and k-means cluster analyses in a population of 169 asthmatic children (age ± SD: 10.5 ± 2.6 years) recruited in a monocenter cohort that was characterized in a cross-sectional design using 28 parameters describing potentially different asthma domains: atopy, environment (tobacco), control, exacerbations, treatment (inhaled corticosteroid and long-acting bronchodilator agonist), and lung function (airway architecture and tone). Two subject-related characteristics (height and atopy) and two disease-related characteristics (bronchodilator response and ICS dose > 200 μg/d) explained 36% of exhaled NO variance. Nine domains were isolated using principal component analysis. Four clusters were further identified: cluster 1 (47%): boys, unexposed to tobacco, with well-controlled asthma; cluster 2 (26%): girls, unexposed to tobacco, with well-controlled asthma; cluster 3 (6%): girls or boys, unexposed to tobacco, with uncontrolled asthma associated with increased airway tone, and cluster 4 (21%): girls or boys, exposed to parental smoking, with small airway to lung size ratio and uncontrolled asthma. FENO(0.05) was not different in these four clusters.In conclusion, FENO(0.05) is independently linked to two pathophysiological characteristics of asthma (ICS-dependant inflammation and bronchomotor tone) but does not help to identify a clinically relevant phenotype of asthmatic children.</description><subject>Administration, Inhalation</subject><subject>Adolescent</subject><subject>Adrenal Cortex Hormones - administration & dosage</subject><subject>Adrenergic beta-Agonists - administration & dosage</subject><subject>Asthma - diagnosis</subject><subject>Asthma - drug therapy</subject><subject>Asthma - metabolism</subject><subject>Asthma - physiopathology</subject><subject>Asthma in children</subject><subject>Biomarkers - metabolism</subject><subject>Breath Tests</subject><subject>Bronchial Provocation Tests</subject><subject>Bronchodilator Agents - administration & dosage</subject><subject>Child</subject><subject>Cluster Analysis</subject><subject>Corticosteroids</subject><subject>Cross-Sectional Studies</subject><subject>Exhalation</subject><subject>Female</subject><subject>Forced Expiratory Flow Rates</subject><subject>Forced Expiratory Volume</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Lung - drug effects</subject><subject>Lung - metabolism</subject><subject>Lung - physiopathology</subject><subject>Male</subject><subject>Nitric oxide</subject><subject>Nitric Oxide - metabolism</subject><subject>Parenting</subject><subject>Paris</subject><subject>Phenotype</subject><subject>Physiological aspects</subject><subject>Plethysmography</subject><subject>Predictive Value of Tests</subject><subject>Principal Component Analysis</subject><subject>Residual Volume</subject><subject>Respiratory agents</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Spirometry</subject><subject>Total Lung Capacity</subject><subject>Vital Capacity</subject><issn>1465-993X</issn><issn>1465-9921</issn><issn>1465-993X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqNkk1v1DAQhiMEoqXtmRuKxIFTWn_HviBKVaBSJS5U6s0af2TjKomXOFu1_x6HLNWuVBDywdbMO4_teaco3mJ0irEUZ5gJXilFcIVJJfiL4nAbobcvd84HxZuU7hDCtaz56-KAYK6UwvSw-HT50ELnXTmEaQy2jA_B-RIGV9ouDMFCV65bP8Tpce1TGZvStqFzbYyuhDS1PRwXrxrokj_Z7kfFzZfLHxffquvvX68uzq8rIzieqlp5obiQBklKDG2owxQT3FBZW2qIwg4JohxQIQg4ZAE1yoAEWvNGIk_oUXG1cF2EO70eQw_jo44Q9O9AHFcaxinYzmtFRb6DGeOYY4ZjxQzUBEtEQFHmUWZ9XFjrjem9s36YRuj2oPuZIbR6Fe91frKoSZ0BnxeACfEvgP2Mjb2e3dCzVxoTLXiGfNi-Yow_Nz5Nug_J-q6DwcdN0rJmTBJOcFa-X5SrbJUOQxMz1M5qfc44yX8j7N8qIhDKfvNZdfqMKi_n-2Dj4JuQ43vY_yrYveFsKbBjTGn0zVNfMNLz1D7TiXe7fjzp_4wp_QXpteRT</recordid><startdate>20110520</startdate><enddate>20110520</enddate><creator>Mahut, Bruno</creator><creator>Peyrard, Séverine</creator><creator>Delclaux, Christophe</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110520</creationdate><title>Exhaled nitric oxide and clinical phenotypes of childhood asthma</title><author>Mahut, Bruno ; Peyrard, Séverine ; Delclaux, Christophe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b651t-79e69568b0832b3f3d13121f387c3b291d0629da3662ad0ca0f9ba8a375f80e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Administration, Inhalation</topic><topic>Adolescent</topic><topic>Adrenal Cortex Hormones - administration & dosage</topic><topic>Adrenergic beta-Agonists - administration & dosage</topic><topic>Asthma - diagnosis</topic><topic>Asthma - drug therapy</topic><topic>Asthma - metabolism</topic><topic>Asthma - physiopathology</topic><topic>Asthma in children</topic><topic>Biomarkers - metabolism</topic><topic>Breath Tests</topic><topic>Bronchial Provocation Tests</topic><topic>Bronchodilator Agents - administration & dosage</topic><topic>Child</topic><topic>Cluster Analysis</topic><topic>Corticosteroids</topic><topic>Cross-Sectional Studies</topic><topic>Exhalation</topic><topic>Female</topic><topic>Forced Expiratory Flow Rates</topic><topic>Forced Expiratory Volume</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Lung - drug effects</topic><topic>Lung - metabolism</topic><topic>Lung - physiopathology</topic><topic>Male</topic><topic>Nitric oxide</topic><topic>Nitric Oxide - metabolism</topic><topic>Parenting</topic><topic>Paris</topic><topic>Phenotype</topic><topic>Physiological aspects</topic><topic>Plethysmography</topic><topic>Predictive Value of Tests</topic><topic>Principal Component Analysis</topic><topic>Residual Volume</topic><topic>Respiratory agents</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Spirometry</topic><topic>Total Lung Capacity</topic><topic>Vital Capacity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahut, Bruno</creatorcontrib><creatorcontrib>Peyrard, Séverine</creatorcontrib><creatorcontrib>Delclaux, Christophe</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Respiratory research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahut, Bruno</au><au>Peyrard, Séverine</au><au>Delclaux, Christophe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exhaled nitric oxide and clinical phenotypes of childhood asthma</atitle><jtitle>Respiratory research</jtitle><addtitle>Respir Res</addtitle><date>2011-05-20</date><risdate>2011</risdate><volume>12</volume><issue>74</issue><spage>65</spage><epage>65</epage><pages>65-65</pages><artnum>65</artnum><issn>1465-993X</issn><issn>1465-9921</issn><eissn>1465-993X</eissn><abstract>Whether exhaled NO helps to identify a specific phenotype of asthmatic patients remains debated. Our aims were to evaluate whether exhaled NO (FENO(0.05)) is independently associated (1) with underlying pathophysiological characteristics of asthma such as airway tone (bronchodilator response) and airway inflammation (inhaled corticosteroid [ICS]-dependant inflammation), and (2) with clinical phenotypes of asthma.We performed multivariate (exhaled NO as dependent variable) and k-means cluster analyses in a population of 169 asthmatic children (age ± SD: 10.5 ± 2.6 years) recruited in a monocenter cohort that was characterized in a cross-sectional design using 28 parameters describing potentially different asthma domains: atopy, environment (tobacco), control, exacerbations, treatment (inhaled corticosteroid and long-acting bronchodilator agonist), and lung function (airway architecture and tone). Two subject-related characteristics (height and atopy) and two disease-related characteristics (bronchodilator response and ICS dose > 200 μg/d) explained 36% of exhaled NO variance. Nine domains were isolated using principal component analysis. Four clusters were further identified: cluster 1 (47%): boys, unexposed to tobacco, with well-controlled asthma; cluster 2 (26%): girls, unexposed to tobacco, with well-controlled asthma; cluster 3 (6%): girls or boys, unexposed to tobacco, with uncontrolled asthma associated with increased airway tone, and cluster 4 (21%): girls or boys, exposed to parental smoking, with small airway to lung size ratio and uncontrolled asthma. FENO(0.05) was not different in these four clusters.In conclusion, FENO(0.05) is independently linked to two pathophysiological characteristics of asthma (ICS-dependant inflammation and bronchomotor tone) but does not help to identify a clinically relevant phenotype of asthmatic children.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>21599913</pmid><doi>10.1186/1465-9921-12-65</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Administration, Inhalation Adolescent Adrenal Cortex Hormones - administration & dosage Adrenergic beta-Agonists - administration & dosage Asthma - diagnosis Asthma - drug therapy Asthma - metabolism Asthma - physiopathology Asthma in children Biomarkers - metabolism Breath Tests Bronchial Provocation Tests Bronchodilator Agents - administration & dosage Child Cluster Analysis Corticosteroids Cross-Sectional Studies Exhalation Female Forced Expiratory Flow Rates Forced Expiratory Volume Genetic aspects Health aspects Humans Linear Models Lung - drug effects Lung - metabolism Lung - physiopathology Male Nitric oxide Nitric Oxide - metabolism Parenting Paris Phenotype Physiological aspects Plethysmography Predictive Value of Tests Principal Component Analysis Residual Volume Respiratory agents Risk Assessment Risk Factors Spirometry Total Lung Capacity Vital Capacity |
title | Exhaled nitric oxide and clinical phenotypes of childhood asthma |
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