Evaluation of the Modified Asthma Predictive Index in High-Risk Preschool Children
Background Prediction of subsequent school-age asthma during the preschool years has proven challenging. Objective To confirm in a post hoc analysis the predictive ability of the modified Asthma Predictive Index (mAPI) in a high-risk cohort and a theoretical unselected population. We also tested a p...
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Veröffentlicht in: | The journal of allergy and clinical immunology in practice (Cambridge, MA) MA), 2013-03, Vol.1 (2), p.152-156 |
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creator | Chang, Timothy S., PhD Lemanske, Robert F., MD Guilbert, Theresa W., MD, MS Gern, James E., MD Coen, Michael H., PhD Evans, Michael D., MS Gangnon, Ronald E., PhD Page, C. David, PhD Jackson, Daniel J., MD |
description | Background Prediction of subsequent school-age asthma during the preschool years has proven challenging. Objective To confirm in a post hoc analysis the predictive ability of the modified Asthma Predictive Index (mAPI) in a high-risk cohort and a theoretical unselected population. We also tested a potential mAPI modification with a 2-wheezing episode requirement (m2 API) in the same populations. Methods Subjects (n = 289) with a family history of allergy and/or asthma were used to predict asthma at age 6, 8, and 11 years with the use of characteristics collected during the first 3 years of life. The mAPI and the m2 API were tested for predictive value. Results For the mAPI and m2 API, school-age asthma prediction improved from 1 to 3 years of age. The mAPI had high predictive value after a positive test (positive likelihood ratio ranging from 4.9 to 55) for asthma development at years 6, 8, and 11. Lowering the number of wheezing episodes to 2 (m2 API) lowered the predictive value after a positive test (positive likelihood ratio ranging from 1.91 to 13.1) without meaningfully improving the predictive value of a negative test. Posttest probabilities for a positive mAPI reached 72% and 90% in unselected and high-risk populations, respectively. Conclusions In a high-risk cohort, a positive mAPI greatly increased future asthma probability (eg, 30% pretest probability to 90% posttest probability) and is a preferred predictive test to the m2 API. With its more favorable positive posttest probability, the mAPI can aid clinical decision making in assessing future asthma risk for preschool-age children. |
doi_str_mv | 10.1016/j.jaip.2012.10.008 |
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David, PhD ; Jackson, Daniel J., MD</creator><creatorcontrib>Chang, Timothy S., PhD ; Lemanske, Robert F., MD ; Guilbert, Theresa W., MD, MS ; Gern, James E., MD ; Coen, Michael H., PhD ; Evans, Michael D., MS ; Gangnon, Ronald E., PhD ; Page, C. David, PhD ; Jackson, Daniel J., MD</creatorcontrib><description>Background Prediction of subsequent school-age asthma during the preschool years has proven challenging. Objective To confirm in a post hoc analysis the predictive ability of the modified Asthma Predictive Index (mAPI) in a high-risk cohort and a theoretical unselected population. We also tested a potential mAPI modification with a 2-wheezing episode requirement (m2 API) in the same populations. Methods Subjects (n = 289) with a family history of allergy and/or asthma were used to predict asthma at age 6, 8, and 11 years with the use of characteristics collected during the first 3 years of life. The mAPI and the m2 API were tested for predictive value. Results For the mAPI and m2 API, school-age asthma prediction improved from 1 to 3 years of age. The mAPI had high predictive value after a positive test (positive likelihood ratio ranging from 4.9 to 55) for asthma development at years 6, 8, and 11. Lowering the number of wheezing episodes to 2 (m2 API) lowered the predictive value after a positive test (positive likelihood ratio ranging from 1.91 to 13.1) without meaningfully improving the predictive value of a negative test. Posttest probabilities for a positive mAPI reached 72% and 90% in unselected and high-risk populations, respectively. Conclusions In a high-risk cohort, a positive mAPI greatly increased future asthma probability (eg, 30% pretest probability to 90% posttest probability) and is a preferred predictive test to the m2 API. With its more favorable positive posttest probability, the mAPI can aid clinical decision making in assessing future asthma risk for preschool-age children.</description><identifier>ISSN: 2213-2198</identifier><identifier>EISSN: 2213-2201</identifier><identifier>EISSN: 2213-2198</identifier><identifier>DOI: 10.1016/j.jaip.2012.10.008</identifier><identifier>PMID: 24187656</identifier><language>eng</language><publisher>United States: Elsevier Limited</publisher><subject>Age ; Allergy and Immunology ; Asthma - etiology ; Child ; Child, Preschool ; Humans ; Internal Medicine ; International organizations ; Likelihood Functions ; Probability ; Risk ; Studies</subject><ispartof>The journal of allergy and clinical immunology in practice (Cambridge, MA), 2013-03, Vol.1 (2), p.152-156</ispartof><rights>American Academy of Allergy, Asthma & Immunology</rights><rights>Copyright Elsevier Limited Mar 2013</rights><rights>2013 American Academy of Allergy, Asthma & Immunology 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-4246c7dee4734ca3673768ab7db962bdbf4a5e249297f2029ca515613c4d13953</citedby><cites>FETCH-LOGICAL-c518t-4246c7dee4734ca3673768ab7db962bdbf4a5e249297f2029ca515613c4d13953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,27928,27929</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24187656$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chang, Timothy S., PhD</creatorcontrib><creatorcontrib>Lemanske, Robert F., MD</creatorcontrib><creatorcontrib>Guilbert, Theresa W., MD, MS</creatorcontrib><creatorcontrib>Gern, James E., MD</creatorcontrib><creatorcontrib>Coen, Michael H., PhD</creatorcontrib><creatorcontrib>Evans, Michael D., MS</creatorcontrib><creatorcontrib>Gangnon, Ronald E., PhD</creatorcontrib><creatorcontrib>Page, C. David, PhD</creatorcontrib><creatorcontrib>Jackson, Daniel J., MD</creatorcontrib><title>Evaluation of the Modified Asthma Predictive Index in High-Risk Preschool Children</title><title>The journal of allergy and clinical immunology in practice (Cambridge, MA)</title><addtitle>J Allergy Clin Immunol Pract</addtitle><description>Background Prediction of subsequent school-age asthma during the preschool years has proven challenging. Objective To confirm in a post hoc analysis the predictive ability of the modified Asthma Predictive Index (mAPI) in a high-risk cohort and a theoretical unselected population. We also tested a potential mAPI modification with a 2-wheezing episode requirement (m2 API) in the same populations. Methods Subjects (n = 289) with a family history of allergy and/or asthma were used to predict asthma at age 6, 8, and 11 years with the use of characteristics collected during the first 3 years of life. The mAPI and the m2 API were tested for predictive value. Results For the mAPI and m2 API, school-age asthma prediction improved from 1 to 3 years of age. The mAPI had high predictive value after a positive test (positive likelihood ratio ranging from 4.9 to 55) for asthma development at years 6, 8, and 11. Lowering the number of wheezing episodes to 2 (m2 API) lowered the predictive value after a positive test (positive likelihood ratio ranging from 1.91 to 13.1) without meaningfully improving the predictive value of a negative test. Posttest probabilities for a positive mAPI reached 72% and 90% in unselected and high-risk populations, respectively. Conclusions In a high-risk cohort, a positive mAPI greatly increased future asthma probability (eg, 30% pretest probability to 90% posttest probability) and is a preferred predictive test to the m2 API. With its more favorable positive posttest probability, the mAPI can aid clinical decision making in assessing future asthma risk for preschool-age children.</description><subject>Age</subject><subject>Allergy and Immunology</subject><subject>Asthma - etiology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>International organizations</subject><subject>Likelihood Functions</subject><subject>Probability</subject><subject>Risk</subject><subject>Studies</subject><issn>2213-2198</issn><issn>2213-2201</issn><issn>2213-2198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUk1v1DAUjBCIVqV_oAcUiQuXbP3t-IJUrUpbqRWo0LPl2C-N02y82MmK_vs66hdwwRdb8-aNnmdeURxhtMIIi-N-1Ru_XRGESQZWCNVvin1CMK1Ixt4-v7Gq94rDlHqUT40lYuh9sUcYrqXgYr-4Pt2ZYTaTD2MZ2nLqoLwKzrceXHmSpm5jyu8RnLeT30F5MTr4XfqxPPe3XXXt091STbYLYSjXnR9chPFD8a41Q4LDp_uguPl6-nN9Xl1-O7tYn1xWluN6qhhhwkoHwCRl1lAhqRS1aaRrlCCNa1pmOBCmiJItQURZwzEXmFrmMFWcHhRfHnW3c7MBZ2Gcohn0NvqNifc6GK__roy-07dhp2mNMeY0C3x-Eojh1wxp0hufLAyDGSHMSWPBmZAM0fr_VE4oVUoqnKmf_qH2YY5jdiILMi4JZ0xlFnlk2RhSitC-zI2RXgLWvV4C1kvAC5bTy00f__zxS8tznK-WQPZ95yFqO_jRWzPcwT2k10F0IhrpH8uOLCuCSd4OQgl9AO2ptY4</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Chang, Timothy S., PhD</creator><creator>Lemanske, Robert F., MD</creator><creator>Guilbert, Theresa W., MD, MS</creator><creator>Gern, James E., MD</creator><creator>Coen, Michael H., PhD</creator><creator>Evans, Michael D., MS</creator><creator>Gangnon, Ronald E., PhD</creator><creator>Page, C. David, PhD</creator><creator>Jackson, Daniel J., MD</creator><general>Elsevier Limited</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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>7T5</scope><scope>H94</scope><scope>5PM</scope></search><sort><creationdate>20130301</creationdate><title>Evaluation of the Modified Asthma Predictive Index in High-Risk Preschool Children</title><author>Chang, Timothy S., PhD ; Lemanske, Robert F., MD ; Guilbert, Theresa W., MD, MS ; Gern, James E., MD ; Coen, Michael H., PhD ; Evans, Michael D., MS ; Gangnon, Ronald E., PhD ; Page, C. David, PhD ; Jackson, Daniel J., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-4246c7dee4734ca3673768ab7db962bdbf4a5e249297f2029ca515613c4d13953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Age</topic><topic>Allergy and Immunology</topic><topic>Asthma - etiology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>International organizations</topic><topic>Likelihood Functions</topic><topic>Probability</topic><topic>Risk</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Timothy S., PhD</creatorcontrib><creatorcontrib>Lemanske, Robert F., MD</creatorcontrib><creatorcontrib>Guilbert, Theresa W., MD, MS</creatorcontrib><creatorcontrib>Gern, James E., MD</creatorcontrib><creatorcontrib>Coen, Michael H., PhD</creatorcontrib><creatorcontrib>Evans, Michael D., MS</creatorcontrib><creatorcontrib>Gangnon, Ronald E., PhD</creatorcontrib><creatorcontrib>Page, C. David, PhD</creatorcontrib><creatorcontrib>Jackson, Daniel J., MD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The journal of allergy and clinical immunology in practice (Cambridge, MA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Timothy S., PhD</au><au>Lemanske, Robert F., MD</au><au>Guilbert, Theresa W., MD, MS</au><au>Gern, James E., MD</au><au>Coen, Michael H., PhD</au><au>Evans, Michael D., MS</au><au>Gangnon, Ronald E., PhD</au><au>Page, C. David, PhD</au><au>Jackson, Daniel J., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of the Modified Asthma Predictive Index in High-Risk Preschool Children</atitle><jtitle>The journal of allergy and clinical immunology in practice (Cambridge, MA)</jtitle><addtitle>J Allergy Clin Immunol Pract</addtitle><date>2013-03-01</date><risdate>2013</risdate><volume>1</volume><issue>2</issue><spage>152</spage><epage>156</epage><pages>152-156</pages><issn>2213-2198</issn><eissn>2213-2201</eissn><eissn>2213-2198</eissn><abstract>Background Prediction of subsequent school-age asthma during the preschool years has proven challenging. Objective To confirm in a post hoc analysis the predictive ability of the modified Asthma Predictive Index (mAPI) in a high-risk cohort and a theoretical unselected population. We also tested a potential mAPI modification with a 2-wheezing episode requirement (m2 API) in the same populations. Methods Subjects (n = 289) with a family history of allergy and/or asthma were used to predict asthma at age 6, 8, and 11 years with the use of characteristics collected during the first 3 years of life. The mAPI and the m2 API were tested for predictive value. Results For the mAPI and m2 API, school-age asthma prediction improved from 1 to 3 years of age. The mAPI had high predictive value after a positive test (positive likelihood ratio ranging from 4.9 to 55) for asthma development at years 6, 8, and 11. Lowering the number of wheezing episodes to 2 (m2 API) lowered the predictive value after a positive test (positive likelihood ratio ranging from 1.91 to 13.1) without meaningfully improving the predictive value of a negative test. Posttest probabilities for a positive mAPI reached 72% and 90% in unselected and high-risk populations, respectively. Conclusions In a high-risk cohort, a positive mAPI greatly increased future asthma probability (eg, 30% pretest probability to 90% posttest probability) and is a preferred predictive test to the m2 API. With its more favorable positive posttest probability, the mAPI can aid clinical decision making in assessing future asthma risk for preschool-age children.</abstract><cop>United States</cop><pub>Elsevier Limited</pub><pmid>24187656</pmid><doi>10.1016/j.jaip.2012.10.008</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Allergy and Immunology Asthma - etiology Child Child, Preschool Humans Internal Medicine International organizations Likelihood Functions Probability Risk Studies |
title | Evaluation of the Modified Asthma Predictive Index in High-Risk Preschool Children |
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