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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Comparison of isotope dilution with bioelectrical impedance analysis among HIV-infected and HIV-uninfected pregnant women in Tanzania</title><author><name sortKey="Kupka, R" sort="Kupka, R" uniqKey="Kupka R" first="R." last="Kupka">R. Kupka</name><affiliation><nlm:aff id="A1">Department of Nutrition, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A5">UNICEF Regional Office for West and Central Africa</nlm:aff></affiliation></author><author><name sortKey="Manji, K P" sort="Manji, K P" uniqKey="Manji K" first="K. P." last="Manji">K. P. Manji</name><affiliation><nlm:aff id="A6">Department of Pediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Wroe, E" sort="Wroe, E" uniqKey="Wroe E" first="E." last="Wroe">E. Wroe</name><affiliation><nlm:aff id="A8">Harvard Medical School, Boston, MA, USA</nlm:aff></affiliation></author><author><name sortKey="Aboud, S" sort="Aboud, S" uniqKey="Aboud S" first="S." last="Aboud">S. Aboud</name><affiliation><nlm:aff id="A7">Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Bosch, R J" sort="Bosch, R J" uniqKey="Bosch R" first="R. J." last="Bosch">R. J. Bosch</name><affiliation><nlm:aff id="A2">Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation></author><author><name sortKey="Fawzi, W W" sort="Fawzi, W W" uniqKey="Fawzi W" first="W. W." last="Fawzi">W. W. Fawzi</name><affiliation><nlm:aff id="A1">Department of Nutrition, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A4">Department of Global Health, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation></author><author><name sortKey="Kurpad, A V" sort="Kurpad, A V" uniqKey="Kurpad A" first="A. V." last="Kurpad">A. V. Kurpad</name><affiliation><nlm:aff id="A9">Institute of Population Health and Clinical Research, St John’s National Academy of Health Sciences, Bangalore, India</nlm:aff></affiliation></author><author><name sortKey="Duggan, C" sort="Duggan, C" uniqKey="Duggan C" first="C." last="Duggan">C. Duggan</name><affiliation><nlm:aff id="A1">Department of Nutrition, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Division of Gastroenterology and Nutrition, Children’s Hospital, Boston</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Harvard Medical School, Boston, MA, USA</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24244104</idno><idno type="pmc">3826565</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3826565</idno><idno type="RBID">PMC:3826565</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">001A00</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001A00</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Comparison of isotope dilution with bioelectrical impedance analysis among HIV-infected and HIV-uninfected pregnant women in Tanzania</title><author><name sortKey="Kupka, R" sort="Kupka, R" uniqKey="Kupka R" first="R." last="Kupka">R. Kupka</name><affiliation><nlm:aff id="A1">Department of Nutrition, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A5">UNICEF Regional Office for West and Central Africa</nlm:aff></affiliation></author><author><name sortKey="Manji, K P" sort="Manji, K P" uniqKey="Manji K" first="K. P." last="Manji">K. P. Manji</name><affiliation><nlm:aff id="A6">Department of Pediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Wroe, E" sort="Wroe, E" uniqKey="Wroe E" first="E." last="Wroe">E. Wroe</name><affiliation><nlm:aff id="A8">Harvard Medical School, Boston, MA, USA</nlm:aff></affiliation></author><author><name sortKey="Aboud, S" sort="Aboud, S" uniqKey="Aboud S" first="S." last="Aboud">S. Aboud</name><affiliation><nlm:aff id="A7">Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Bosch, R J" sort="Bosch, R J" uniqKey="Bosch R" first="R. J." last="Bosch">R. J. Bosch</name><affiliation><nlm:aff id="A2">Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation></author><author><name sortKey="Fawzi, W W" sort="Fawzi, W W" uniqKey="Fawzi W" first="W. W." last="Fawzi">W. W. Fawzi</name><affiliation><nlm:aff id="A1">Department of Nutrition, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A4">Department of Global Health, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation></author><author><name sortKey="Kurpad, A V" sort="Kurpad, A V" uniqKey="Kurpad A" first="A. V." last="Kurpad">A. V. Kurpad</name><affiliation><nlm:aff id="A9">Institute of Population Health and Clinical Research, St John’s National Academy of Health Sciences, Bangalore, India</nlm:aff></affiliation></author><author><name sortKey="Duggan, C" sort="Duggan, C" uniqKey="Duggan C" first="C." last="Duggan">C. Duggan</name><affiliation><nlm:aff id="A1">Department of Nutrition, Harvard School of Public Health, Boston, MA, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Division of Gastroenterology and Nutrition, Children’s Hospital, Boston</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Harvard Medical School, Boston, MA, USA</nlm:aff></affiliation></author></analytic><series><title level="j">International journal of body composition research</title><idno type="ISSN">1479-456X</idno><imprint><date when="2011">2011</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">Bioelectrical impedance analysis (BIA) is a simple tool to assess total body water (TBW), from which body composition can be estimated using statistical equations. However, standard BIA equations have not been sufficiently validated during pregnancy, in HIV infection, or in sub-Saharan Africa. We therefore compared TBW estimates from multifrequency BIA with those from the reference method deuterium isotope dilution (Deut) in a cohort of 30 HIV-uninfected and 30 HIV-infected pregnant women from Tanzania.</p></sec><sec id="S2"><title>Methods</title><p id="P2">We enrolled pregnant women presenting for routine antenatal care and collected data on pregnancy outcomes. At each trimester of gestation and once at 10-wk post-partum, we measured maternal anthropometry, TBW<sub>BIA</sub>, and TBW<sub>Deut</sub>.</p></sec><sec id="S3"><title>Results</title><p id="P3">TBW<sub>BIA</sub> was highly correlated at each time point with TBW<sub>Deut</sub> among HIV-infected (all <italic>P</italic> ≤0.001) and HIV-uninfected women (all <italic>P</italic> <0.0001). During pregnancy, mean TBW<sub>BIA</sub> progressively underestimated TBW<sub>Deut</sub> in the overall cohort; trimester-specific differences (mean ±SD) were −1.02 ±2.36 kg, −1.47 ±2.43 kg, and −2.42 ±2.63 kg, respectively. The difference at 10-wk postpartum was small (−0.24 ±2.07 kg). In Bland-Altman and regression models, TBW<sub>BIA</sub> was subject to a systematic predictive bias at each antenatal and postnatal time point (all <italic>P</italic> ≤0.038). Among HIV-positive women, TBW<sub>Deut</sub> measured during the first (<italic>P</italic> =0.02) and second trimester (<italic>P</italic> =0.03) was positively related to birthweight.</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">The validity of current BIA equations to assess TBW during pregnancy and in the postpartum period among women from sub-Saharan Africa remains uncertain. Deuterium dilution may assess aspects of maternal body composition relevant for pregnancy outcomes among HIV-infected women.</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">101175315</journal-id><journal-id journal-id-type="pubmed-jr-id">33324</journal-id><journal-id journal-id-type="nlm-ta">Int J Body Compos Res</journal-id><journal-id journal-id-type="iso-abbrev">Int J Body Compos Res</journal-id><journal-title-group><journal-title>International journal of body composition research</journal-title></journal-title-group><issn pub-type="ppub">1479-456X</issn></journal-meta><article-meta><article-id pub-id-type="pmid">24244104</article-id><article-id pub-id-type="pmc">3826565</article-id><article-id pub-id-type="manuscript">NIHMS517171</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Comparison of isotope dilution with bioelectrical impedance analysis among HIV-infected and HIV-uninfected pregnant women in Tanzania</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Kupka</surname><given-names>R.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Manji</surname><given-names>K.P.</given-names></name><xref ref-type="aff" rid="A6">6</xref></contrib><contrib contrib-type="author"><name><surname>Wroe</surname><given-names>E.</given-names></name><xref ref-type="aff" rid="A8">8</xref></contrib><contrib contrib-type="author"><name><surname>Aboud</surname><given-names>S.</given-names></name><xref ref-type="aff" rid="A7">7</xref></contrib><contrib contrib-type="author"><name><surname>Bosch</surname><given-names>R.J.</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Fawzi</surname><given-names>W.W.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A3">3</xref><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Kurpad</surname><given-names>A.V.</given-names></name><xref ref-type="aff" rid="A9">9</xref></contrib><contrib contrib-type="author"><name><surname>Duggan</surname><given-names>C.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A10">10</xref><xref ref-type="aff" rid="A11">11</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Nutrition, Harvard School of Public Health, Boston, MA, USA</aff><aff id="A2"><label>2</label>Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA</aff><aff id="A3"><label>3</label>Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA</aff><aff id="A4"><label>4</label>Department of Global Health, Harvard School of Public Health, Boston, MA, USA</aff><aff id="A5"><label>5</label>UNICEF Regional Office for West and Central Africa</aff><aff id="A6"><label>6</label>Department of Pediatrics and Child Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</aff><aff id="A7"><label>7</label>Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</aff><aff id="A8"><label>8</label>Harvard Medical School, Boston, MA, USA</aff><aff id="A9"><label>9</label>Institute of Population Health and Clinical Research, St John’s National Academy of Health Sciences, Bangalore, India</aff><aff id="A10"><label>10</label>Division of Gastroenterology and Nutrition, Children’s Hospital, Boston</aff><aff id="A11"><label>11</label>Harvard Medical School, Boston, MA, USA</aff><author-notes><corresp id="CR1"><italic>Address for correspondence:</italic> Roland Kupka, Harvard School of Public Health, Department of Nutrition, 1633 Tremont Street, Boston, MA 02120, United States. Tel: +1-617-432-5299, <email>rkupka@post.harvard.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>23</day><month>9</month><year>2013</year></pub-date><pub-date pub-type="ppub"><day>1</day><month>3</month><year>2011</year></pub-date><pub-date pub-type="pmc-release"><day>13</day><month>11</month><year>2013</year></pub-date><volume>9</volume><issue>1</issue><fpage>1</fpage><lpage>10</lpage><permissions><copyright-statement>© Smith-Gordon</copyright-statement></permissions><abstract><sec id="S1"><title>Background</title><p id="P1">Bioelectrical impedance analysis (BIA) is a simple tool to assess total body water (TBW), from which body composition can be estimated using statistical equations. However, standard BIA equations have not been sufficiently validated during pregnancy, in HIV infection, or in sub-Saharan Africa. We therefore compared TBW estimates from multifrequency BIA with those from the reference method deuterium isotope dilution (Deut) in a cohort of 30 HIV-uninfected and 30 HIV-infected pregnant women from Tanzania.</p></sec><sec id="S2"><title>Methods</title><p id="P2">We enrolled pregnant women presenting for routine antenatal care and collected data on pregnancy outcomes. At each trimester of gestation and once at 10-wk post-partum, we measured maternal anthropometry, TBW<sub>BIA</sub>, and TBW<sub>Deut</sub>.</p></sec><sec id="S3"><title>Results</title><p id="P3">TBW<sub>BIA</sub> was highly correlated at each time point with TBW<sub>Deut</sub> among HIV-infected (all <italic>P</italic> ≤0.001) and HIV-uninfected women (all <italic>P</italic> <0.0001). During pregnancy, mean TBW<sub>BIA</sub> progressively underestimated TBW<sub>Deut</sub> in the overall cohort; trimester-specific differences (mean ±SD) were −1.02 ±2.36 kg, −1.47 ±2.43 kg, and −2.42 ±2.63 kg, respectively. The difference at 10-wk postpartum was small (−0.24 ±2.07 kg). In Bland-Altman and regression models, TBW<sub>BIA</sub> was subject to a systematic predictive bias at each antenatal and postnatal time point (all <italic>P</italic> ≤0.038). Among HIV-positive women, TBW<sub>Deut</sub> measured during the first (<italic>P</italic> =0.02) and second trimester (<italic>P</italic> =0.03) was positively related to birthweight.</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">The validity of current BIA equations to assess TBW during pregnancy and in the postpartum period among women from sub-Saharan Africa remains uncertain. Deuterium dilution may assess aspects of maternal body composition relevant for pregnancy outcomes among HIV-infected women.</p></sec></abstract><kwd-group><kwd>Bioelectrical impedance analysis</kwd><kwd>deuterium dilution</kwd><kwd>pregnancy</kwd><kwd>Tanzania</kwd><kwd>HIV</kwd></kwd-group><funding-group><award-group><funding-source country="United States">National Institute of Child Health & Human Development : NICHD</funding-source><award-id>K24 HD058795 || HD</award-id></award-group></funding-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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