Developmental profiles of eczema, wheeze, and rhinitis: two population-based birth cohort studies
The term "atopic march" has been used to imply a natural progression of a cascade of symptoms from eczema to asthma and rhinitis through childhood. We hypothesize that this expression does not adequately describe the natural history of eczema, wheeze, and rhinitis during childhood. We prop...
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| creator | Belgrave, Danielle C M Granell, Raquel Simpson, Angela Guiver, John Bishop, Christopher Buchan, Iain Henderson, A John Custovic, Adnan |
| description | The term "atopic march" has been used to imply a natural progression of a cascade of symptoms from eczema to asthma and rhinitis through childhood. We hypothesize that this expression does not adequately describe the natural history of eczema, wheeze, and rhinitis during childhood. We propose that this paradigm arose from cross-sectional analyses of longitudinal studies, and may reflect a population pattern that may not predominate at the individual level.
Data from 9,801 children in two population-based birth cohorts were used to determine individual profiles of eczema, wheeze, and rhinitis and whether the manifestations of these symptoms followed an atopic march pattern. Children were assessed at ages 1, 3, 5, 8, and 11 y. We used Bayesian machine learning methods to identify distinct latent classes based on individual profiles of eczema, wheeze, and rhinitis. This approach allowed us to identify groups of children with similar patterns of eczema, wheeze, and rhinitis over time. Using a latent disease profile model, the data were best described by eight latent classes: no disease (51.3%), atopic march (3.1%), persistent eczema and wheeze (2.7%), persistent eczema with later-onset rhinitis (4.7%), persistent wheeze with later-onset rhinitis (5.7%), transient wheeze (7.7%), eczema only (15.3%), and rhinitis only (9.6%). When latent variable modelling was carried out separately for the two cohorts, similar results were obtained. Highly concordant patterns of sensitisation were associated with different profiles of eczema, rhinitis, and wheeze. The main limitation of this study was the difference in wording of the questions used to ascertain the presence of eczema, wheeze, and rhinitis in the two cohorts.
The developmental profiles of eczema, wheeze, and rhinitis are heterogeneous; only a small proportion of children (∼ 7% of those with symptoms) follow trajectory profiles resembling the atopic march. Please see later in the article for the Editors' Summary. |
| doi_str_mv | 10.1371/journal.pmed.1001748 |
| format | Article |
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Data from 9,801 children in two population-based birth cohorts were used to determine individual profiles of eczema, wheeze, and rhinitis and whether the manifestations of these symptoms followed an atopic march pattern. Children were assessed at ages 1, 3, 5, 8, and 11 y. We used Bayesian machine learning methods to identify distinct latent classes based on individual profiles of eczema, wheeze, and rhinitis. This approach allowed us to identify groups of children with similar patterns of eczema, wheeze, and rhinitis over time. Using a latent disease profile model, the data were best described by eight latent classes: no disease (51.3%), atopic march (3.1%), persistent eczema and wheeze (2.7%), persistent eczema with later-onset rhinitis (4.7%), persistent wheeze with later-onset rhinitis (5.7%), transient wheeze (7.7%), eczema only (15.3%), and rhinitis only (9.6%). When latent variable modelling was carried out separately for the two cohorts, similar results were obtained. Highly concordant patterns of sensitisation were associated with different profiles of eczema, rhinitis, and wheeze. The main limitation of this study was the difference in wording of the questions used to ascertain the presence of eczema, wheeze, and rhinitis in the two cohorts.
The developmental profiles of eczema, wheeze, and rhinitis are heterogeneous; only a small proportion of children (∼ 7% of those with symptoms) follow trajectory profiles resembling the atopic march. Please see later in the article for the Editors' Summary.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.1001748</identifier><identifier>PMID: 25335105</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Allergies ; Analysis ; Asthma in children ; Bayes Theorem ; Biology and Life Sciences ; Child ; Child, Preschool ; Confidence intervals ; Cross-Sectional Studies ; Demographic aspects ; Disease ; Eczema ; Eczema - diagnosis ; Eczema - pathology ; Female ; Humans ; Immune system ; Longitudinal Studies ; Male ; Medicine and Health Sciences ; Parents & parenting ; Population ; Respiratory Sounds - diagnosis ; Rhinitis ; Rhinitis - diagnosis ; Rhinitis - pathology ; Risk factors ; Studies ; Teaching methods ; Wheeze</subject><ispartof>PLoS medicine, 2014-10, Vol.11 (10), p.e1001748-e1001748</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Belgrave et al 2014 Belgrave et al</rights><rights>2014 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Belgrave DCM, Granell R, Simpson A, Guiver J, Bishop C, Buchan I, et al. (2014) Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies. PLoS Med 11(10): e1001748. doi:10.1371/journal.pmed.1001748</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c736t-3d3bf10af9836515a386f24af73ad7b57878ab2fd24c059f4b115c4dc606113a3</citedby><cites>FETCH-LOGICAL-c736t-3d3bf10af9836515a386f24af73ad7b57878ab2fd24c059f4b115c4dc606113a3</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/PMC4204810/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204810/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25335105$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Lanphear, Bruce P.</contributor><creatorcontrib>Belgrave, Danielle C M</creatorcontrib><creatorcontrib>Granell, Raquel</creatorcontrib><creatorcontrib>Simpson, Angela</creatorcontrib><creatorcontrib>Guiver, John</creatorcontrib><creatorcontrib>Bishop, Christopher</creatorcontrib><creatorcontrib>Buchan, Iain</creatorcontrib><creatorcontrib>Henderson, A John</creatorcontrib><creatorcontrib>Custovic, Adnan</creatorcontrib><title>Developmental profiles of eczema, wheeze, and rhinitis: two population-based birth cohort studies</title><title>PLoS medicine</title><addtitle>PLoS Med</addtitle><description>The term "atopic march" has been used to imply a natural progression of a cascade of symptoms from eczema to asthma and rhinitis through childhood. We hypothesize that this expression does not adequately describe the natural history of eczema, wheeze, and rhinitis during childhood. We propose that this paradigm arose from cross-sectional analyses of longitudinal studies, and may reflect a population pattern that may not predominate at the individual level.
Data from 9,801 children in two population-based birth cohorts were used to determine individual profiles of eczema, wheeze, and rhinitis and whether the manifestations of these symptoms followed an atopic march pattern. Children were assessed at ages 1, 3, 5, 8, and 11 y. We used Bayesian machine learning methods to identify distinct latent classes based on individual profiles of eczema, wheeze, and rhinitis. This approach allowed us to identify groups of children with similar patterns of eczema, wheeze, and rhinitis over time. Using a latent disease profile model, the data were best described by eight latent classes: no disease (51.3%), atopic march (3.1%), persistent eczema and wheeze (2.7%), persistent eczema with later-onset rhinitis (4.7%), persistent wheeze with later-onset rhinitis (5.7%), transient wheeze (7.7%), eczema only (15.3%), and rhinitis only (9.6%). When latent variable modelling was carried out separately for the two cohorts, similar results were obtained. Highly concordant patterns of sensitisation were associated with different profiles of eczema, rhinitis, and wheeze. The main limitation of this study was the difference in wording of the questions used to ascertain the presence of eczema, wheeze, and rhinitis in the two cohorts.
The developmental profiles of eczema, wheeze, and rhinitis are heterogeneous; only a small proportion of children (∼ 7% of those with symptoms) follow trajectory profiles resembling the atopic march. Please see later in the article for the Editors' Summary.</description><subject>Allergies</subject><subject>Analysis</subject><subject>Asthma in children</subject><subject>Bayes Theorem</subject><subject>Biology and Life Sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Disease</subject><subject>Eczema</subject><subject>Eczema - diagnosis</subject><subject>Eczema - pathology</subject><subject>Female</subject><subject>Humans</subject><subject>Immune system</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Parents & parenting</subject><subject>Population</subject><subject>Respiratory Sounds - diagnosis</subject><subject>Rhinitis</subject><subject>Rhinitis - diagnosis</subject><subject>Rhinitis - pathology</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Teaching methods</subject><subject>Wheeze</subject><issn>1549-1676</issn><issn>1549-1277</issn><issn>1549-1676</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNqVk11rFDEUhgdRbK3-A9EBQRS6azJJZjJeCKV-FYoFv27DmczJTkp2siYZq_31Zt1t6UIvlFwkJM95z-GcvEXxmJI5ZQ19de6nMIKbr5bYzykhtOHyTrFPBW9ntG7quzfOe8WDGM8JqVrSkvvFXiUYE5SI_QLe4k90PouMCVy5Ct5Yh7H0pkR9iUs4LC8GxEs8LGHsyzDY0SYbX5fpwpcrv5ocJOvHWQcR-7KzIQ2l9oMPqYxp6i3Gh8U9Ay7io-1-UHx7_-7r8cfZ6dmHk-Oj05luWJ1mrGedoQRMK1ktqAAma1NxMA2DvulEIxsJXWX6imsiWsM7SoXmva5JTSkDdlA83eiunI9q252oaC0FJ3Xd0kycbIjew7laBbuE8Ft5sOrvhQ8LBSFZ7VBhJWULDVSd1lwaKqu2M32uT_dIpDFZ680229TlAejcvgBuR3T3ZbSDWvifileES0qywIutQPA_JoxJLW3U6ByM6Kd13VQ0XEhRZfTZBl1ALs2OxmdFvcbVEZNtVRPJm0zNbqEWOGJO70dcz3WXn9_C59Xj0upbA17uBGQm4a-0gClGdfLl83-wn_6dPfu-yz6_wQ4ILg3Ru2n9B-MuyDegDj7GgOZ6NJSotX-ufoha-0dt_ZPDntwc63XQlWHYH2PlFcc</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Belgrave, Danielle C M</creator><creator>Granell, Raquel</creator><creator>Simpson, Angela</creator><creator>Guiver, John</creator><creator>Bishop, Christopher</creator><creator>Buchan, Iain</creator><creator>Henderson, A John</creator><creator>Custovic, Adnan</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><scope>CZK</scope></search><sort><creationdate>20141001</creationdate><title>Developmental profiles of eczema, wheeze, and rhinitis: two population-based birth cohort studies</title><author>Belgrave, Danielle C M ; Granell, Raquel ; Simpson, Angela ; Guiver, John ; Bishop, Christopher ; Buchan, Iain ; Henderson, A John ; Custovic, Adnan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c736t-3d3bf10af9836515a386f24af73ad7b57878ab2fd24c059f4b115c4dc606113a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Allergies</topic><topic>Analysis</topic><topic>Asthma in children</topic><topic>Bayes Theorem</topic><topic>Biology and Life Sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Confidence intervals</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Disease</topic><topic>Eczema</topic><topic>Eczema - diagnosis</topic><topic>Eczema - pathology</topic><topic>Female</topic><topic>Humans</topic><topic>Immune system</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Parents & parenting</topic><topic>Population</topic><topic>Respiratory Sounds - diagnosis</topic><topic>Rhinitis</topic><topic>Rhinitis - diagnosis</topic><topic>Rhinitis - pathology</topic><topic>Risk factors</topic><topic>Studies</topic><topic>Teaching methods</topic><topic>Wheeze</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belgrave, Danielle C M</creatorcontrib><creatorcontrib>Granell, Raquel</creatorcontrib><creatorcontrib>Simpson, Angela</creatorcontrib><creatorcontrib>Guiver, John</creatorcontrib><creatorcontrib>Bishop, Christopher</creatorcontrib><creatorcontrib>Buchan, Iain</creatorcontrib><creatorcontrib>Henderson, A John</creatorcontrib><creatorcontrib>Custovic, Adnan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Medicine</collection><jtitle>PLoS medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Belgrave, Danielle C M</au><au>Granell, Raquel</au><au>Simpson, Angela</au><au>Guiver, John</au><au>Bishop, Christopher</au><au>Buchan, Iain</au><au>Henderson, A John</au><au>Custovic, Adnan</au><au>Lanphear, Bruce P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Developmental profiles of eczema, wheeze, and rhinitis: two population-based birth cohort studies</atitle><jtitle>PLoS medicine</jtitle><addtitle>PLoS Med</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>11</volume><issue>10</issue><spage>e1001748</spage><epage>e1001748</epage><pages>e1001748-e1001748</pages><issn>1549-1676</issn><issn>1549-1277</issn><eissn>1549-1676</eissn><abstract>The term "atopic march" has been used to imply a natural progression of a cascade of symptoms from eczema to asthma and rhinitis through childhood. We hypothesize that this expression does not adequately describe the natural history of eczema, wheeze, and rhinitis during childhood. We propose that this paradigm arose from cross-sectional analyses of longitudinal studies, and may reflect a population pattern that may not predominate at the individual level.
Data from 9,801 children in two population-based birth cohorts were used to determine individual profiles of eczema, wheeze, and rhinitis and whether the manifestations of these symptoms followed an atopic march pattern. Children were assessed at ages 1, 3, 5, 8, and 11 y. We used Bayesian machine learning methods to identify distinct latent classes based on individual profiles of eczema, wheeze, and rhinitis. This approach allowed us to identify groups of children with similar patterns of eczema, wheeze, and rhinitis over time. Using a latent disease profile model, the data were best described by eight latent classes: no disease (51.3%), atopic march (3.1%), persistent eczema and wheeze (2.7%), persistent eczema with later-onset rhinitis (4.7%), persistent wheeze with later-onset rhinitis (5.7%), transient wheeze (7.7%), eczema only (15.3%), and rhinitis only (9.6%). When latent variable modelling was carried out separately for the two cohorts, similar results were obtained. Highly concordant patterns of sensitisation were associated with different profiles of eczema, rhinitis, and wheeze. The main limitation of this study was the difference in wording of the questions used to ascertain the presence of eczema, wheeze, and rhinitis in the two cohorts.
The developmental profiles of eczema, wheeze, and rhinitis are heterogeneous; only a small proportion of children (∼ 7% of those with symptoms) follow trajectory profiles resembling the atopic march. Please see later in the article for the Editors' Summary.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25335105</pmid><doi>10.1371/journal.pmed.1001748</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Allergies Analysis Asthma in children Bayes Theorem Biology and Life Sciences Child Child, Preschool Confidence intervals Cross-Sectional Studies Demographic aspects Disease Eczema Eczema - diagnosis Eczema - pathology Female Humans Immune system Longitudinal Studies Male Medicine and Health Sciences Parents & parenting Population Respiratory Sounds - diagnosis Rhinitis Rhinitis - diagnosis Rhinitis - pathology Risk factors Studies Teaching methods Wheeze |
| title | Developmental profiles of eczema, wheeze, and rhinitis: two population-based birth cohort studies |
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