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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Age- and sex-specific weight gain norms to monitor antiretroviral treatment in children in low- and middle-income countries</title><author><name sortKey="Yotebieng, Marcel" sort="Yotebieng, Marcel" uniqKey="Yotebieng M" first="Marcel" last="Yotebieng">Marcel Yotebieng</name><affiliation><nlm:aff id="A1">The Ohio State University, College of Public Health, Division of Epidemiology, Columbus, OH</nlm:aff></affiliation><affiliation><nlm:aff id="A2">The University of North Carolina at Chapel Hill, Department of Epidemiology, Chapel Hill, NC</nlm:aff></affiliation></author><author><name sortKey="Meyers, Tammy" sort="Meyers, Tammy" uniqKey="Meyers T" first="Tammy" last="Meyers">Tammy Meyers</name><affiliation><nlm:aff id="A3">Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</nlm:aff></affiliation></author><author><name sortKey="Behets, Frieda" sort="Behets, Frieda" uniqKey="Behets F" first="Frieda" last="Behets">Frieda Behets</name><affiliation><nlm:aff id="A4">The University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC</nlm:aff></affiliation></author><author><name sortKey="Davies, Mary Ann" sort="Davies, Mary Ann" uniqKey="Davies M" first="Mary-Ann" last="Davies">Mary-Ann Davies</name><affiliation><nlm:aff id="A5">University of Cape Town, School of Public Health and Family Medicine, Cape Town, South Africa</nlm:aff></affiliation></author><author><name sortKey="Keiser, Olivia" sort="Keiser, Olivia" uniqKey="Keiser O" first="Olivia" last="Keiser">Olivia Keiser</name><affiliation><nlm:aff id="A6">Institute of Social and Preventive Medicine, University of Bern, Switzerland</nlm:aff></affiliation></author><author><name sortKey="Ngonyani, Kapella Zacharia" sort="Ngonyani, Kapella Zacharia" uniqKey="Ngonyani K" first="Kapella Zacharia" last="Ngonyani">Kapella Zacharia Ngonyani</name><affiliation><nlm:aff id="A7">Tumbi Regional Referral Hospital, Kibaha, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Lyamuya, Rita E" sort="Lyamuya, Rita E" uniqKey="Lyamuya R" first="Rita E." last="Lyamuya">Rita E. Lyamuya</name><affiliation><nlm:aff id="A8">Morogoro Regional Hospital, Morogoro, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Kariminia, Azar" sort="Kariminia, Azar" uniqKey="Kariminia A" first="Azar" last="Kariminia">Azar Kariminia</name><affiliation><nlm:aff id="A9">University of New South Wales, The Kirby Institute for infection and immunity in Society, Darlinghurst, NSW, Australia</nlm:aff></affiliation></author><author><name sortKey="Hansudewechakul, Rawiwan" sort="Hansudewechakul, Rawiwan" uniqKey="Hansudewechakul R" first="Rawiwan" last="Hansudewechakul">Rawiwan Hansudewechakul</name><affiliation><nlm:aff id="A10">Chiangrai Prachanukroh Hospital, Chiang Rai, Thailand</nlm:aff></affiliation></author><author><name sortKey="Leroy, Valeriane" sort="Leroy, Valeriane" uniqKey="Leroy V" first="Valeriane" last="Leroy">Valeriane Leroy</name><affiliation><nlm:aff id="A11">Université Bordeaux, Institut de Santé Publique Epidémiologie et Développement, Bordeaux, France</nlm:aff></affiliation><affiliation><nlm:aff id="A12">Inserm, Centre Inserm U897 “Epidémiologie et Biostatistique”, Bordeaux, France</nlm:aff></affiliation></author><author><name sortKey="Koumakpai, Sikiratou" sort="Koumakpai, Sikiratou" uniqKey="Koumakpai S" first="Sikiratou" last="Koumakpai">Sikiratou Koumakpai</name><affiliation><nlm:aff id="A13">Centre National Hospitalier Universitaire Hubert K. Maga, Cotonou, Bénin</nlm:aff></affiliation></author><author><name sortKey="Newman, Jamie" sort="Newman, Jamie" uniqKey="Newman J" first="Jamie" last="Newman">Jamie Newman</name><affiliation><nlm:aff id="A14">RTI International, Biostatistics and Epidemiology, Research Triangle Park, NC</nlm:aff></affiliation></author><author><name sortKey="Van Rie, Annelies" sort="Van Rie, Annelies" uniqKey="Van Rie A" first="Annelies" last="Van Rie">Annelies Van Rie</name><affiliation><nlm:aff id="A2">The University of North Carolina at Chapel Hill, Department of Epidemiology, Chapel Hill, NC</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25562494</idno><idno type="pmc">4383257</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383257</idno><idno type="RBID">PMC:4383257</idno><idno type="doi">10.1097/QAD.0000000000000506</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">002052</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002052</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Age- and sex-specific weight gain norms to monitor antiretroviral treatment in children in low- and middle-income countries</title><author><name sortKey="Yotebieng, Marcel" sort="Yotebieng, Marcel" uniqKey="Yotebieng M" first="Marcel" last="Yotebieng">Marcel Yotebieng</name><affiliation><nlm:aff id="A1">The Ohio State University, College of Public Health, Division of Epidemiology, Columbus, OH</nlm:aff></affiliation><affiliation><nlm:aff id="A2">The University of North Carolina at Chapel Hill, Department of Epidemiology, Chapel Hill, NC</nlm:aff></affiliation></author><author><name sortKey="Meyers, Tammy" sort="Meyers, Tammy" uniqKey="Meyers T" first="Tammy" last="Meyers">Tammy Meyers</name><affiliation><nlm:aff id="A3">Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</nlm:aff></affiliation></author><author><name sortKey="Behets, Frieda" sort="Behets, Frieda" uniqKey="Behets F" first="Frieda" last="Behets">Frieda Behets</name><affiliation><nlm:aff id="A4">The University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC</nlm:aff></affiliation></author><author><name sortKey="Davies, Mary Ann" sort="Davies, Mary Ann" uniqKey="Davies M" first="Mary-Ann" last="Davies">Mary-Ann Davies</name><affiliation><nlm:aff id="A5">University of Cape Town, School of Public Health and Family Medicine, Cape Town, South Africa</nlm:aff></affiliation></author><author><name sortKey="Keiser, Olivia" sort="Keiser, Olivia" uniqKey="Keiser O" first="Olivia" last="Keiser">Olivia Keiser</name><affiliation><nlm:aff id="A6">Institute of Social and Preventive Medicine, University of Bern, Switzerland</nlm:aff></affiliation></author><author><name sortKey="Ngonyani, Kapella Zacharia" sort="Ngonyani, Kapella Zacharia" uniqKey="Ngonyani K" first="Kapella Zacharia" last="Ngonyani">Kapella Zacharia Ngonyani</name><affiliation><nlm:aff id="A7">Tumbi Regional Referral Hospital, Kibaha, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Lyamuya, Rita E" sort="Lyamuya, Rita E" uniqKey="Lyamuya R" first="Rita E." last="Lyamuya">Rita E. Lyamuya</name><affiliation><nlm:aff id="A8">Morogoro Regional Hospital, Morogoro, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Kariminia, Azar" sort="Kariminia, Azar" uniqKey="Kariminia A" first="Azar" last="Kariminia">Azar Kariminia</name><affiliation><nlm:aff id="A9">University of New South Wales, The Kirby Institute for infection and immunity in Society, Darlinghurst, NSW, Australia</nlm:aff></affiliation></author><author><name sortKey="Hansudewechakul, Rawiwan" sort="Hansudewechakul, Rawiwan" uniqKey="Hansudewechakul R" first="Rawiwan" last="Hansudewechakul">Rawiwan Hansudewechakul</name><affiliation><nlm:aff id="A10">Chiangrai Prachanukroh Hospital, Chiang Rai, Thailand</nlm:aff></affiliation></author><author><name sortKey="Leroy, Valeriane" sort="Leroy, Valeriane" uniqKey="Leroy V" first="Valeriane" last="Leroy">Valeriane Leroy</name><affiliation><nlm:aff id="A11">Université Bordeaux, Institut de Santé Publique Epidémiologie et Développement, Bordeaux, France</nlm:aff></affiliation><affiliation><nlm:aff id="A12">Inserm, Centre Inserm U897 “Epidémiologie et Biostatistique”, Bordeaux, France</nlm:aff></affiliation></author><author><name sortKey="Koumakpai, Sikiratou" sort="Koumakpai, Sikiratou" uniqKey="Koumakpai S" first="Sikiratou" last="Koumakpai">Sikiratou Koumakpai</name><affiliation><nlm:aff id="A13">Centre National Hospitalier Universitaire Hubert K. Maga, Cotonou, Bénin</nlm:aff></affiliation></author><author><name sortKey="Newman, Jamie" sort="Newman, Jamie" uniqKey="Newman J" first="Jamie" last="Newman">Jamie Newman</name><affiliation><nlm:aff id="A14">RTI International, Biostatistics and Epidemiology, Research Triangle Park, NC</nlm:aff></affiliation></author><author><name sortKey="Van Rie, Annelies" sort="Van Rie, Annelies" uniqKey="Van Rie A" first="Annelies" last="Van Rie">Annelies Van Rie</name><affiliation><nlm:aff id="A2">The University of North Carolina at Chapel Hill, Department of Epidemiology, Chapel Hill, NC</nlm:aff></affiliation></author></analytic><series><title level="j">AIDS (London, England)</title><idno type="ISSN">0269-9370</idno><idno type="eISSN">1473-5571</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title><p id="P1">Viral load and CD4% are often not available in resource-limited settings for monitoring children's responses to antiretroviral treatment (ART). We aimed to construct normative curves for weight gain at six-, twelve-, eighteen-, and twenty-four-month post initiation of ART in children, and to assess the association between poor weight gain and subsequent responses to ART.</p></sec><sec id="S2"><title>Design</title><p id="P2">Analysis of data from HIV-infected children <10 years old from African and Asian clinics participating in the International epidemiologic Databases to Evaluate AIDS (IeDEA).</p></sec><sec id="S3"><title>Methods</title><p id="P3">The generalized additive model for location, scale and shape was used to construct normative percentile curves for weight gain at six, twelve, eighteen, and twenty-four months following ART initiation. Cox proportional models were used to assess the association between lower percentiles (<50<sup>th</sup>) of weight gain distribution at the different time points and subsequent death, virological suppression, and virological failure.</p></sec><sec id="S4"><title>Results</title><p id="P4">Among 7173 children from five regions of the world, 45% were underweight at baseline. Weight gain below the 50<sup>th</sup> percentile at six-, twelve-, eighteen-, and twenty-four months of ART was associated with increased risk of death, independent of baseline characteristics. Poor weight gain was not associated with increased hazards of virological suppression or virological failure.</p></sec><sec id="S5"><title>Conclusions</title><p id="P5">Monitoring weight gain on ART using age- and sex-specific normative curves specifically developed for HIV-infected children on ART is a simple, rapid, sustainable tool that can aid in the identification of children who are at increased risk of death in the first year of ART.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8710219</journal-id><journal-id journal-id-type="pubmed-jr-id">1493</journal-id><journal-id journal-id-type="nlm-ta">AIDS</journal-id><journal-id journal-id-type="iso-abbrev">AIDS</journal-id><journal-title-group><journal-title>AIDS (London, England)</journal-title></journal-title-group><issn pub-type="ppub">0269-9370</issn><issn pub-type="epub">1473-5571</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25562494</article-id><article-id pub-id-type="pmc">4383257</article-id><article-id pub-id-type="doi">10.1097/QAD.0000000000000506</article-id><article-id pub-id-type="manuscript">NIHMS674926</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Age- and sex-specific weight gain norms to monitor antiretroviral treatment in children in low- and middle-income countries</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Yotebieng</surname><given-names>Marcel</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Meyers</surname><given-names>Tammy</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Behets</surname><given-names>Frieda</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Davies</surname><given-names>Mary-Ann</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Keiser</surname><given-names>Olivia</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A6">6</xref></contrib><contrib contrib-type="author"><name><surname>Ngonyani</surname><given-names>Kapella Zacharia</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A7">7</xref></contrib><contrib contrib-type="author"><name><surname>Lyamuya</surname><given-names>Rita E.</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A8">8</xref></contrib><contrib contrib-type="author"><name><surname>Kariminia</surname><given-names>Azar</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A9">9</xref></contrib><contrib contrib-type="author"><name><surname>Hansudewechakul</surname><given-names>Rawiwan</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A10">10</xref></contrib><contrib contrib-type="author"><name><surname>Leroy</surname><given-names>Valeriane</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A11">11</xref><xref ref-type="aff" rid="A12">12</xref></contrib><contrib contrib-type="author"><name><surname>Koumakpai</surname><given-names>Sikiratou</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A13">13</xref></contrib><contrib contrib-type="author"><name><surname>Newman</surname><given-names>Jamie</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A14">14</xref></contrib><contrib contrib-type="author"><name><surname>Van Rie</surname><given-names>Annelies</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A2">2</xref></contrib></contrib-group><aff id="A1"><label>1</label>The Ohio State University, College of Public Health, Division of Epidemiology, Columbus, OH</aff><aff id="A2"><label>2</label>The University of North Carolina at Chapel Hill, Department of Epidemiology, Chapel Hill, NC</aff><aff id="A3"><label>3</label>Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</aff><aff id="A4"><label>4</label>The University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC</aff><aff id="A5"><label>5</label>University of Cape Town, School of Public Health and Family Medicine, Cape Town, South Africa</aff><aff id="A6"><label>6</label>Institute of Social and Preventive Medicine, University of Bern, Switzerland</aff><aff id="A7"><label>7</label>Tumbi Regional Referral Hospital, Kibaha, Tanzania</aff><aff id="A8"><label>8</label>Morogoro Regional Hospital, Morogoro, Tanzania</aff><aff id="A9"><label>9</label>University of New South Wales, The Kirby Institute for infection and immunity in Society, Darlinghurst, NSW, Australia</aff><aff id="A10"><label>10</label>Chiangrai Prachanukroh Hospital, Chiang Rai, Thailand</aff><aff id="A11"><label>11</label>Université Bordeaux, Institut de Santé Publique Epidémiologie et Développement, Bordeaux, France</aff><aff id="A12"><label>12</label>Inserm, Centre Inserm U897 “Epidémiologie et Biostatistique”, Bordeaux, France</aff><aff id="A13"><label>13</label>Centre National Hospitalier Universitaire Hubert K. Maga, Cotonou, Bénin</aff><aff id="A14"><label>14</label>RTI International, Biostatistics and Epidemiology, Research Triangle Park, NC</aff><author-notes><corresp id="CR1"><bold>Corresponding author and requests for reprints:</bold> Marcel Yotebieng, MD, PhD, MPH Division of Epidemiology| College of Public Health The Ohio State University 304 Cunz Hall | 1841 Neil Avenue, Columbus, OH 43210 Phone #: 614 688 2133; Fax 614 688 3533 <email>myotebieng@cph.osu.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>25</day><month>3</month><year>2015</year></pub-date><pub-date pub-type="ppub"><day>2</day><month>1</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>02</day><month>1</month><year>2016</year></pub-date><volume>29</volume><issue>1</issue><fpage>101</fpage><lpage>109</lpage><pmc-comment>elocation-id from pubmed: 10.1097/QAD.0000000000000506</pmc-comment>
<abstract><sec id="S1"><title>Background</title><p id="P1">Viral load and CD4% are often not available in resource-limited settings for monitoring children's responses to antiretroviral treatment (ART). We aimed to construct normative curves for weight gain at six-, twelve-, eighteen-, and twenty-four-month post initiation of ART in children, and to assess the association between poor weight gain and subsequent responses to ART.</p></sec><sec id="S2"><title>Design</title><p id="P2">Analysis of data from HIV-infected children <10 years old from African and Asian clinics participating in the International epidemiologic Databases to Evaluate AIDS (IeDEA).</p></sec><sec id="S3"><title>Methods</title><p id="P3">The generalized additive model for location, scale and shape was used to construct normative percentile curves for weight gain at six, twelve, eighteen, and twenty-four months following ART initiation. Cox proportional models were used to assess the association between lower percentiles (<50<sup>th</sup>) of weight gain distribution at the different time points and subsequent death, virological suppression, and virological failure.</p></sec><sec id="S4"><title>Results</title><p id="P4">Among 7173 children from five regions of the world, 45% were underweight at baseline. Weight gain below the 50<sup>th</sup> percentile at six-, twelve-, eighteen-, and twenty-four months of ART was associated with increased risk of death, independent of baseline characteristics. Poor weight gain was not associated with increased hazards of virological suppression or virological failure.</p></sec><sec id="S5"><title>Conclusions</title><p id="P5">Monitoring weight gain on ART using age- and sex-specific normative curves specifically developed for HIV-infected children on ART is a simple, rapid, sustainable tool that can aid in the identification of children who are at increased risk of death in the first year of ART.</p></sec></abstract><kwd-group><kwd>ART monitoring</kwd><kwd>children</kwd><kwd>weight</kwd><kwd>CD4</kwd><kwd>viral load</kwd><kwd>HIV</kwd><kwd>low/middle income countries</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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