Spirometry Centile Charts for Young Caucasian Children: The Asthma UK Collaborative Initiative
Advances in spirometry measurement techniques have made it possible to obtain measurements in children as young as 3 years of age; however, in practice, application remains limited by the lack of appropriate reference data for young children, which are often based on limited population-specific samp...
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Veröffentlicht in: | American journal of respiratory and critical care medicine 2009-09, Vol.180 (6), p.547-552 |
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creator | Stanojevic, Sanja Wade, Angie Cole, Tim J Lum, Sooky Custovic, Adnan Silverman, Mike Hall, Graham L Welsh, Liam Kirkby, Jane Nystad, Wenche Badier, Monique Davis, Stephanie Turner, Steven Piccioni, Pavilio Vilozni, Daphna Eigen, Howard Vlachos-Mayer, Helen Zheng, Jinping Tomalak, Waldemar Jones, Marcus Hankinson, John L Stocks, Janet on behalf of Asthma UK Spirometry Collaborative Group |
description | Advances in spirometry measurement techniques have made it possible to obtain measurements in children as young as 3 years of age; however, in practice, application remains limited by the lack of appropriate reference data for young children, which are often based on limited population-specific samples.
We aimed to build on previous models by collating existing reference data in young children (aged 3-7 yr), to produce updated prediction equations that span the preschool years and that are also linked to established reference equations for older children and adults.
The Asthma UK Collaborative Initiative was established to collate lung function data from healthy young children aged 3 to 7 years. Collaborators included researchers with access to pulmonary function test data in healthy preschool children. Spirometry centiles were created using the LMS (lambda, micro, sigma) method and extend previously published equations down to 3 years of age.
The Asthma UK centile charts for spirometry are based on the largest sample of healthy young Caucasian children aged 3-7 years (n = 3,777) from 15 centers across 11 countries and provide a continuous reference with a smooth transition into adolescence and adulthood. These equations improve existing pediatric equations by considering the between-subject variability to define a more appropriate age-dependent lower limit of normal. The collated data set reflects a variety of equipment, measurement protocols, and population characteristics and may be generalizable across different populations.
We present prediction equations for spirometry for preschool children and provide a foundation that will facilitate continued updating. |
doi_str_mv | 10.1164/rccm.200903-0323OC |
format | Article |
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We aimed to build on previous models by collating existing reference data in young children (aged 3-7 yr), to produce updated prediction equations that span the preschool years and that are also linked to established reference equations for older children and adults.
The Asthma UK Collaborative Initiative was established to collate lung function data from healthy young children aged 3 to 7 years. Collaborators included researchers with access to pulmonary function test data in healthy preschool children. Spirometry centiles were created using the LMS (lambda, micro, sigma) method and extend previously published equations down to 3 years of age.
The Asthma UK centile charts for spirometry are based on the largest sample of healthy young Caucasian children aged 3-7 years (n = 3,777) from 15 centers across 11 countries and provide a continuous reference with a smooth transition into adolescence and adulthood. These equations improve existing pediatric equations by considering the between-subject variability to define a more appropriate age-dependent lower limit of normal. The collated data set reflects a variety of equipment, measurement protocols, and population characteristics and may be generalizable across different populations.
We present prediction equations for spirometry for preschool children and provide a foundation that will facilitate continued updating.</description><identifier>ISSN: 1073-449X</identifier><identifier>EISSN: 1535-4970</identifier><identifier>DOI: 10.1164/rccm.200903-0323OC</identifier><identifier>PMID: 19574442</identifier><language>eng</language><publisher>New York, NY: Am Thoracic Soc</publisher><subject>Adults ; Age ; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Asthma ; Asthma - diagnosis ; Asthma - physiopathology ; Biological and medical sciences ; Child ; Child, Preschool ; Collaboration ; Data collection ; Datasets ; European Continental Ancestry Group ; Forced Expiratory Volume ; Humans ; Intensive care medicine ; Investigative techniques of respiratory function ; Investigative techniques, diagnostic techniques (general aspects) ; Measurement techniques ; Medical sciences ; Pediatrics ; Preschool children ; Quality control ; Reference Values ; Respiratory Function Tests ; Retrospective Studies ; Severity of Illness Index ; Spirometry ; Spirometry - standards ; United Kingdom ; White people</subject><ispartof>American journal of respiratory and critical care medicine, 2009-09, Vol.180 (6), p.547-552</ispartof><rights>2009 INIST-CNRS</rights><rights>Copyright American Thoracic Society Sep 15, 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-3ff5ff80615811ac590488c3217c4c3e62e842032b2c829d17a132dd847e0af03</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4011,4012,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21959514$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19574442$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stanojevic, Sanja</creatorcontrib><creatorcontrib>Wade, Angie</creatorcontrib><creatorcontrib>Cole, Tim J</creatorcontrib><creatorcontrib>Lum, Sooky</creatorcontrib><creatorcontrib>Custovic, Adnan</creatorcontrib><creatorcontrib>Silverman, Mike</creatorcontrib><creatorcontrib>Hall, Graham L</creatorcontrib><creatorcontrib>Welsh, Liam</creatorcontrib><creatorcontrib>Kirkby, Jane</creatorcontrib><creatorcontrib>Nystad, Wenche</creatorcontrib><creatorcontrib>Badier, Monique</creatorcontrib><creatorcontrib>Davis, Stephanie</creatorcontrib><creatorcontrib>Turner, Steven</creatorcontrib><creatorcontrib>Piccioni, Pavilio</creatorcontrib><creatorcontrib>Vilozni, Daphna</creatorcontrib><creatorcontrib>Eigen, Howard</creatorcontrib><creatorcontrib>Vlachos-Mayer, Helen</creatorcontrib><creatorcontrib>Zheng, Jinping</creatorcontrib><creatorcontrib>Tomalak, Waldemar</creatorcontrib><creatorcontrib>Jones, Marcus</creatorcontrib><creatorcontrib>Hankinson, John L</creatorcontrib><creatorcontrib>Stocks, Janet</creatorcontrib><creatorcontrib>on behalf of Asthma UK Spirometry Collaborative Group</creatorcontrib><creatorcontrib>Asthma UK Spirometry Collaborative Group</creatorcontrib><creatorcontrib>on behalf of the Asthma UK Spirometry Collaborative Group</creatorcontrib><title>Spirometry Centile Charts for Young Caucasian Children: The Asthma UK Collaborative Initiative</title><title>American journal of respiratory and critical care medicine</title><addtitle>Am J Respir Crit Care Med</addtitle><description>Advances in spirometry measurement techniques have made it possible to obtain measurements in children as young as 3 years of age; however, in practice, application remains limited by the lack of appropriate reference data for young children, which are often based on limited population-specific samples.
We aimed to build on previous models by collating existing reference data in young children (aged 3-7 yr), to produce updated prediction equations that span the preschool years and that are also linked to established reference equations for older children and adults.
The Asthma UK Collaborative Initiative was established to collate lung function data from healthy young children aged 3 to 7 years. Collaborators included researchers with access to pulmonary function test data in healthy preschool children. Spirometry centiles were created using the LMS (lambda, micro, sigma) method and extend previously published equations down to 3 years of age.
The Asthma UK centile charts for spirometry are based on the largest sample of healthy young Caucasian children aged 3-7 years (n = 3,777) from 15 centers across 11 countries and provide a continuous reference with a smooth transition into adolescence and adulthood. These equations improve existing pediatric equations by considering the between-subject variability to define a more appropriate age-dependent lower limit of normal. The collated data set reflects a variety of equipment, measurement protocols, and population characteristics and may be generalizable across different populations.
We present prediction equations for spirometry for preschool children and provide a foundation that will facilitate continued updating.</description><subject>Adults</subject><subject>Age</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Asthma</subject><subject>Asthma - diagnosis</subject><subject>Asthma - physiopathology</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Collaboration</subject><subject>Data collection</subject><subject>Datasets</subject><subject>European Continental Ancestry Group</subject><subject>Forced Expiratory Volume</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Investigative techniques of respiratory function</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Measurement techniques</subject><subject>Medical sciences</subject><subject>Pediatrics</subject><subject>Preschool children</subject><subject>Quality control</subject><subject>Reference Values</subject><subject>Respiratory Function Tests</subject><subject>Retrospective Studies</subject><subject>Severity of Illness Index</subject><subject>Spirometry</subject><subject>Spirometry - standards</subject><subject>United Kingdom</subject><subject>White people</subject><issn>1073-449X</issn><issn>1535-4970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkF1rFTEQhoNYbK3-AS8kCBW82JrJx27iXVmqFgu9sAW9MeRkk24Ou5tjsqv03zfHPSh4lYE8887Mg9ArIOcANX-frB3PKSGKsIowym7aJ-gEBBMVVw15WmrSsIpz9e0YPc95SwhQCeQZOgYlGs45PUE_vu5CiqOb0wNu3TSHweG2N2nO2MeEv8dlusetWazJwUzlKwxdctMHfNs7fJHnfjT47gtu4zCYTUxmDr8cvprCHP6UL9CRN0N2Lw_vKbr7eHnbfq6ubz5dtRfXlWWKzhXzXngvSQ1CAhgrFOFSWkahsdwyV1MnOS03bqiVVHXQGGC06yRvHDGesFP0ds3dpfhzcXnWY8jWlaUmF5es66ZmslaygG_-A7dxSVPZTYNSNWNK8ALRFbIp5pyc17sURpMeNBC9V6_36vWqXq_qS9PrQ_KyGV33r-XgugBnB8BkawafzGRD_svRAioB--nvVq4P9_3vkJzOoxmGEgvabPeTQRJda8Eb9giLuZoO</recordid><startdate>20090915</startdate><enddate>20090915</enddate><creator>Stanojevic, Sanja</creator><creator>Wade, Angie</creator><creator>Cole, Tim J</creator><creator>Lum, Sooky</creator><creator>Custovic, Adnan</creator><creator>Silverman, Mike</creator><creator>Hall, Graham L</creator><creator>Welsh, Liam</creator><creator>Kirkby, Jane</creator><creator>Nystad, Wenche</creator><creator>Badier, Monique</creator><creator>Davis, Stephanie</creator><creator>Turner, Steven</creator><creator>Piccioni, Pavilio</creator><creator>Vilozni, Daphna</creator><creator>Eigen, Howard</creator><creator>Vlachos-Mayer, Helen</creator><creator>Zheng, Jinping</creator><creator>Tomalak, Waldemar</creator><creator>Jones, Marcus</creator><creator>Hankinson, John L</creator><creator>Stocks, Janet</creator><creator>on behalf of Asthma UK Spirometry Collaborative Group</creator><general>Am Thoracic Soc</general><general>American Thoracic Society</general><scope>IQODW</scope><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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20090915</creationdate><title>Spirometry Centile Charts for Young Caucasian Children: The Asthma UK Collaborative Initiative</title><author>Stanojevic, Sanja ; Wade, Angie ; Cole, Tim J ; Lum, Sooky ; Custovic, Adnan ; Silverman, Mike ; Hall, Graham L ; Welsh, Liam ; Kirkby, Jane ; Nystad, Wenche ; Badier, Monique ; Davis, Stephanie ; Turner, Steven ; Piccioni, Pavilio ; Vilozni, Daphna ; Eigen, Howard ; Vlachos-Mayer, Helen ; Zheng, Jinping ; Tomalak, Waldemar ; Jones, Marcus ; Hankinson, John L ; Stocks, Janet ; on behalf of Asthma UK Spirometry Collaborative Group</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-3ff5ff80615811ac590488c3217c4c3e62e842032b2c829d17a132dd847e0af03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adults</topic><topic>Age</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Asthma</topic><topic>Asthma - diagnosis</topic><topic>Asthma - physiopathology</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Collaboration</topic><topic>Data collection</topic><topic>Datasets</topic><topic>European Continental Ancestry Group</topic><topic>Forced Expiratory Volume</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Investigative techniques of respiratory function</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Measurement techniques</topic><topic>Medical sciences</topic><topic>Pediatrics</topic><topic>Preschool children</topic><topic>Quality control</topic><topic>Reference Values</topic><topic>Respiratory Function Tests</topic><topic>Retrospective Studies</topic><topic>Severity of Illness Index</topic><topic>Spirometry</topic><topic>Spirometry - standards</topic><topic>United Kingdom</topic><topic>White people</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stanojevic, Sanja</creatorcontrib><creatorcontrib>Wade, Angie</creatorcontrib><creatorcontrib>Cole, Tim J</creatorcontrib><creatorcontrib>Lum, Sooky</creatorcontrib><creatorcontrib>Custovic, Adnan</creatorcontrib><creatorcontrib>Silverman, Mike</creatorcontrib><creatorcontrib>Hall, Graham L</creatorcontrib><creatorcontrib>Welsh, Liam</creatorcontrib><creatorcontrib>Kirkby, Jane</creatorcontrib><creatorcontrib>Nystad, Wenche</creatorcontrib><creatorcontrib>Badier, Monique</creatorcontrib><creatorcontrib>Davis, Stephanie</creatorcontrib><creatorcontrib>Turner, Steven</creatorcontrib><creatorcontrib>Piccioni, Pavilio</creatorcontrib><creatorcontrib>Vilozni, Daphna</creatorcontrib><creatorcontrib>Eigen, Howard</creatorcontrib><creatorcontrib>Vlachos-Mayer, Helen</creatorcontrib><creatorcontrib>Zheng, Jinping</creatorcontrib><creatorcontrib>Tomalak, Waldemar</creatorcontrib><creatorcontrib>Jones, Marcus</creatorcontrib><creatorcontrib>Hankinson, John L</creatorcontrib><creatorcontrib>Stocks, Janet</creatorcontrib><creatorcontrib>on behalf of Asthma UK Spirometry Collaborative Group</creatorcontrib><creatorcontrib>Asthma UK Spirometry Collaborative Group</creatorcontrib><creatorcontrib>on behalf of the Asthma UK Spirometry Collaborative Group</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of respiratory and critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stanojevic, Sanja</au><au>Wade, Angie</au><au>Cole, Tim J</au><au>Lum, Sooky</au><au>Custovic, Adnan</au><au>Silverman, Mike</au><au>Hall, Graham L</au><au>Welsh, Liam</au><au>Kirkby, Jane</au><au>Nystad, Wenche</au><au>Badier, Monique</au><au>Davis, Stephanie</au><au>Turner, Steven</au><au>Piccioni, Pavilio</au><au>Vilozni, Daphna</au><au>Eigen, Howard</au><au>Vlachos-Mayer, Helen</au><au>Zheng, Jinping</au><au>Tomalak, Waldemar</au><au>Jones, Marcus</au><au>Hankinson, John L</au><au>Stocks, Janet</au><au>on behalf of Asthma UK Spirometry Collaborative Group</au><aucorp>Asthma UK Spirometry Collaborative Group</aucorp><aucorp>on behalf of the Asthma UK Spirometry Collaborative Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spirometry Centile Charts for Young Caucasian Children: The Asthma UK Collaborative Initiative</atitle><jtitle>American journal of respiratory and critical care medicine</jtitle><addtitle>Am J Respir Crit Care Med</addtitle><date>2009-09-15</date><risdate>2009</risdate><volume>180</volume><issue>6</issue><spage>547</spage><epage>552</epage><pages>547-552</pages><issn>1073-449X</issn><eissn>1535-4970</eissn><abstract>Advances in spirometry measurement techniques have made it possible to obtain measurements in children as young as 3 years of age; however, in practice, application remains limited by the lack of appropriate reference data for young children, which are often based on limited population-specific samples.
We aimed to build on previous models by collating existing reference data in young children (aged 3-7 yr), to produce updated prediction equations that span the preschool years and that are also linked to established reference equations for older children and adults.
The Asthma UK Collaborative Initiative was established to collate lung function data from healthy young children aged 3 to 7 years. Collaborators included researchers with access to pulmonary function test data in healthy preschool children. Spirometry centiles were created using the LMS (lambda, micro, sigma) method and extend previously published equations down to 3 years of age.
The Asthma UK centile charts for spirometry are based on the largest sample of healthy young Caucasian children aged 3-7 years (n = 3,777) from 15 centers across 11 countries and provide a continuous reference with a smooth transition into adolescence and adulthood. These equations improve existing pediatric equations by considering the between-subject variability to define a more appropriate age-dependent lower limit of normal. The collated data set reflects a variety of equipment, measurement protocols, and population characteristics and may be generalizable across different populations.
We present prediction equations for spirometry for preschool children and provide a foundation that will facilitate continued updating.</abstract><cop>New York, NY</cop><pub>Am Thoracic Soc</pub><pmid>19574442</pmid><doi>10.1164/rccm.200903-0323OC</doi><tpages>6</tpages></addata></record> |
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subjects | Adults Age Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Asthma Asthma - diagnosis Asthma - physiopathology Biological and medical sciences Child Child, Preschool Collaboration Data collection Datasets European Continental Ancestry Group Forced Expiratory Volume Humans Intensive care medicine Investigative techniques of respiratory function Investigative techniques, diagnostic techniques (general aspects) Measurement techniques Medical sciences Pediatrics Preschool children Quality control Reference Values Respiratory Function Tests Retrospective Studies Severity of Illness Index Spirometry Spirometry - standards United Kingdom White people |
title | Spirometry Centile Charts for Young Caucasian Children: The Asthma UK Collaborative Initiative |
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