Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects
Identifieur interne : 003A73 ( Istex/Corpus ); précédent : 003A72; suivant : 003A74Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects
Auteurs : Seoung Woo Lee ; Joon Ho Song ; Gyeong A. Kim ; Kyong Joo Lee ; Moon-Jae KimSource :
- Nephrology Dialysis Transplantation [ 0931-0509 ] ; 2001-01.
English descriptors
Abstract
Background. Several indirect prediction equations to estimate total body water (TBW) with simple demographic and anthropometric data are commonly used by researchers and dialysis units. These equations are largely based on observations in subjects of the Western hemisphere. The purpose of this study was to investigate the possible application of anthropometry‐based TBW equations to a Korean adult control population and maintenance haemodialysis (HD) patients using multifrequency bioelectrical impedance analysis (BIA) as reference. Methods. We performed BIA and anthropometric measurements in 67 healthy adults and 101 HD patients. Four anthropometry‐based equations were used: 58% of actual body weight (TBW‐58), the Watson formula (TBW‐W), the Hume formula (TBW‐H), and the Chertow formula (TBW‐C). Multifrequency BIA was performed at fasting state in controls and after HD. Results. TBW‐BIA was 34.6±6.9 l in control and 29.9±5.1 l in HD patients. TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects. The correlation coefficients of TBW‐BIA with calculated TBWs were lowest in TBW‐58 (0.754 in control and 0.856 in HD subjects), and highest in TBW‐C (0.944 in control and 0.916 in HD subjects). Mean prediction error was greatest in the Chertow formula for control and HD patients. Mean prediction error, limits of agreement, and root mean square error were lowest between TBW‐BIA and TBW‐H in control and between TBW‐BIA and TBW‐W in HD subjects. The correlation coefficient in the Bland–Altman plot was closer to zero and parallel with TBW‐W than TBW‐H in control and HD subjects. Conclusion. Currently available TBW equations overestimate TBW in both Korean normal control subjects and HD patients. Among them, the Watson formula appears to be the closest to TBW and to have the least bias. Based on this analysis, it is reasonable to use the Watson formula for the calculation of TBW in Korean adult control and HD subjects until an Asian‐based TBW equation is available.
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DOI: 10.1093/ndt/16.1.91
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ISTEX:7D02939847FF652307B2F37FFFD1788B2C254C9BLe document en format XML
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Kim</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author><author><name sortKey="Lee, Kyong Joo" sort="Lee, Kyong Joo" uniqKey="Lee K" first="Kyong Joo" last="Lee">Kyong Joo Lee</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author><author><name sortKey="Kim, Moon Ae" sort="Kim, Moon Ae" uniqKey="Kim M" first="Moon-Jae" last="Kim">Moon-Jae Kim</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:7D02939847FF652307B2F37FFFD1788B2C254C9B</idno><date when="2001" year="2001">2001</date><idno type="doi">10.1093/ndt/16.1.91</idno><idno type="url">https://api.istex.fr/document/7D02939847FF652307B2F37FFFD1788B2C254C9B/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">003A73</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">003A73</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects</title><author><name sortKey="Lee, Seoung Woo" sort="Lee, Seoung Woo" uniqKey="Lee S" first="Seoung Woo" last="Lee">Seoung Woo Lee</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author><author><name sortKey="Song, Joon Ho" sort="Song, Joon Ho" uniqKey="Song J" first="Joon Ho" last="Song">Joon Ho Song</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author><author><name sortKey="Kim, Gyeong A" sort="Kim, Gyeong A" uniqKey="Kim G" first="Gyeong A" last="Kim">Gyeong A. Kim</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author><author><name sortKey="Lee, Kyong Joo" sort="Lee, Kyong Joo" uniqKey="Lee K" first="Kyong Joo" last="Lee">Kyong Joo Lee</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author><author><name sortKey="Kim, Moon Ae" sort="Kim, Moon Ae" uniqKey="Kim M" first="Moon-Jae" last="Kim">Moon-Jae Kim</name><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation><affiliation><mods:affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Nephrology Dialysis Transplantation</title><title level="j" type="abbrev">Nephrol. Dial. Transplant.</title><idno type="ISSN">0931-0509</idno><idno type="eISSN">1460-2385</idno><imprint><publisher>Oxford University Press</publisher><date type="published" when="2001-01">2001-01</date><biblScope unit="volume">16</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="91">91</biblScope><biblScope unit="page" to="97">97</biblScope></imprint><idno type="ISSN">0931-0509</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0931-0509</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>haemodialysis</term><term>indirect methods</term><term>multifrequency bioimpedance</term><term>total body water</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Background. Several indirect prediction equations to estimate total body water (TBW) with simple demographic and anthropometric data are commonly used by researchers and dialysis units. These equations are largely based on observations in subjects of the Western hemisphere. The purpose of this study was to investigate the possible application of anthropometry‐based TBW equations to a Korean adult control population and maintenance haemodialysis (HD) patients using multifrequency bioelectrical impedance analysis (BIA) as reference. Methods. We performed BIA and anthropometric measurements in 67 healthy adults and 101 HD patients. Four anthropometry‐based equations were used: 58% of actual body weight (TBW‐58), the Watson formula (TBW‐W), the Hume formula (TBW‐H), and the Chertow formula (TBW‐C). Multifrequency BIA was performed at fasting state in controls and after HD. Results. TBW‐BIA was 34.6±6.9 l in control and 29.9±5.1 l in HD patients. TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects. The correlation coefficients of TBW‐BIA with calculated TBWs were lowest in TBW‐58 (0.754 in control and 0.856 in HD subjects), and highest in TBW‐C (0.944 in control and 0.916 in HD subjects). Mean prediction error was greatest in the Chertow formula for control and HD patients. Mean prediction error, limits of agreement, and root mean square error were lowest between TBW‐BIA and TBW‐H in control and between TBW‐BIA and TBW‐W in HD subjects. The correlation coefficient in the Bland–Altman plot was closer to zero and parallel with TBW‐W than TBW‐H in control and HD subjects. Conclusion. Currently available TBW equations overestimate TBW in both Korean normal control subjects and HD patients. Among them, the Watson formula appears to be the closest to TBW and to have the least bias. Based on this analysis, it is reasonable to use the Watson formula for the calculation of TBW in Korean adult control and HD subjects until an Asian‐based TBW equation is available.</div></front></TEI><istex><corpusName>oup</corpusName><keywords><teeft><json:string>watson formula</json:string><json:string>chertow</json:string><json:string>prediction error</json:string><json:string>impedance</json:string><json:string>hume formula</json:string><json:string>bioelectrical</json:string><json:string>total body water</json:string><json:string>chertow formula</json:string><json:string>rmse</json:string><json:string>tbws</json:string><json:string>multifrequency</json:string><json:string>actual body weight</json:string><json:string>prediction equations</json:string><json:string>dialysis patients</json:string><json:string>body weight</json:string><json:string>body water</json:string><json:string>upper limit</json:string><json:string>bioelectrical impedance</json:string><json:string>greater tbws</json:string><json:string>korean adult control</json:string><json:string>nephrol dial transplant</json:string><json:string>control subjects</json:string><json:string>prediction errors</json:string><json:string>peritoneal dialysis</json:string><json:string>western hemisphere</json:string><json:string>inha university hospital</json:string><json:string>least bias</json:string><json:string>normal subjects</json:string><json:string>hemodialysis patients</json:string><json:string>fasting state</json:string><json:string>accurate measurement</json:string><json:string>multifrequency bioelectrical impedance analysis</json:string><json:string>extracellular water</json:string><json:string>hydration status</json:string><json:string>healthy adults</json:string><json:string>statistical methods</json:string><json:string>clin nutr</json:string><json:string>segmental resistances</json:string><json:string>standard deviation</json:string><json:string>anthropometric data</json:string><json:string>high correlation</json:string><json:string>body mass index</json:string><json:string>dialysis units</json:string><json:string>regression line</json:string><json:string>korean adults</json:string><json:string>graphical plot</json:string><json:string>horizontal lines</json:string><json:string>lower limit</json:string><json:string>peritoneal dialysis patients</json:string><json:string>body weight method</json:string><json:string>dialysis centres</json:string><json:string>square prediction error</json:string><json:string>lower rmse</json:string><json:string>whole body</json:string><json:string>square error</json:string><json:string>body composition</json:string><json:string>segmental</json:string></teeft></keywords><author><json:item><name>Seoung Woo Lee</name><affiliations><json:string>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</json:string></affiliations></json:item><json:item><name>Joon Ho Song</name><affiliations><json:string>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</json:string></affiliations></json:item><json:item><name>Gyeong A Kim</name><affiliations><json:string>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</json:string></affiliations></json:item><json:item><name>Kyong Joo Lee</name><affiliations><json:string>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</json:string></affiliations></json:item><json:item><name>Moon‐Jae Kim</name><affiliations><json:string>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</json:string><json:string>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>haemodialysis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>indirect methods</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>multifrequency bioimpedance</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>total body water</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>other</json:string></originalGenre><abstract>Background. Several indirect prediction equations to estimate total body water (TBW) with simple demographic and anthropometric data are commonly used by researchers and dialysis units. These equations are largely based on observations in subjects of the Western hemisphere. The purpose of this study was to investigate the possible application of anthropometry‐based TBW equations to a Korean adult control population and maintenance haemodialysis (HD) patients using multifrequency bioelectrical impedance analysis (BIA) as reference. Methods. We performed BIA and anthropometric measurements in 67 healthy adults and 101 HD patients. Four anthropometry‐based equations were used: 58% of actual body weight (TBW‐58), the Watson formula (TBW‐W), the Hume formula (TBW‐H), and the Chertow formula (TBW‐C). Multifrequency BIA was performed at fasting state in controls and after HD. Results. TBW‐BIA was 34.6±6.9 l in control and 29.9±5.1 l in HD patients. TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects. The correlation coefficients of TBW‐BIA with calculated TBWs were lowest in TBW‐58 (0.754 in control and 0.856 in HD subjects), and highest in TBW‐C (0.944 in control and 0.916 in HD subjects). Mean prediction error was greatest in the Chertow formula for control and HD patients. Mean prediction error, limits of agreement, and root mean square error were lowest between TBW‐BIA and TBW‐H in control and between TBW‐BIA and TBW‐W in HD subjects. The correlation coefficient in the Bland–Altman plot was closer to zero and parallel with TBW‐W than TBW‐H in control and HD subjects. Conclusion. Currently available TBW equations overestimate TBW in both Korean normal control subjects and HD patients. Among them, the Watson formula appears to be the closest to TBW and to have the least bias. Based on this analysis, it is reasonable to use the Watson formula for the calculation of TBW in Korean adult control and HD subjects until an Asian‐based TBW equation is available.</abstract><qualityIndicators><score>8.237</score><pdfVersion>1.3</pdfVersion><pdfPageSize>595 x 842 pts (A4)</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>4</keywordCount><abstractCharCount>2025</abstractCharCount><pdfWordCount>3237</pdfWordCount><pdfCharCount>20593</pdfCharCount><pdfPageCount>7</pdfPageCount><abstractWordCount>305</abstractWordCount></qualityIndicators><title>Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects</title><pii><json:string>1460-2385</json:string></pii><genre><json:string>other</json:string></genre><host><title>Nephrology Dialysis 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genique</json:string></inist></categories><publicationDate>2001</publicationDate><copyrightDate>2001</copyrightDate><doi><json:string>10.1093/ndt/16.1.91</json:string></doi><id>7D02939847FF652307B2F37FFFD1788B2C254C9B</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/7D02939847FF652307B2F37FFFD1788B2C254C9B/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/7D02939847FF652307B2F37FFFD1788B2C254C9B/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/7D02939847FF652307B2F37FFFD1788B2C254C9B/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Oxford University Press</publisher><availability><p>© European Renal Association-European Dialysis and Transplant Association</p></availability><date>2001</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects</title><author xml:id="author-0000"><persName><forename type="first">Seoung Woo</forename><surname>Lee</surname></persName><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation></author><author xml:id="author-0001"><persName><forename type="first">Joon Ho</forename><surname>Song</surname></persName><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation></author><author xml:id="author-0002"><persName><forename type="first">Gyeong A</forename><surname>Kim</surname></persName><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation></author><author xml:id="author-0003"><persName><forename type="first">Kyong Joo</forename><surname>Lee</surname></persName><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation></author><author xml:id="author-0004"><persName><forename type="first">Moon‐Jae</forename><surname>Kim</surname></persName><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation></author><idno type="istex">7D02939847FF652307B2F37FFFD1788B2C254C9B</idno><idno type="DOI">10.1093/ndt/16.1.91</idno><idno type="PII">1460-2385</idno><idno type="local">160091</idno></analytic><monogr><title level="j">Nephrology Dialysis Transplantation</title><title level="j" type="abbrev">Nephrol. Dial. Transplant.</title><idno type="pISSN">0931-0509</idno><idno type="eISSN">1460-2385</idno><idno type="PublisherID">ndt</idno><idno type="PublisherID-hwp">ndt</idno><idno type="PublisherID-nlm-ta">Nephrol Dial Transplant</idno><imprint><publisher>Oxford University Press</publisher><date type="published" when="2001-01"></date><biblScope unit="volume">16</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="91">91</biblScope><biblScope unit="page" to="97">97</biblScope></imprint></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Background. Several indirect prediction equations to estimate total body water (TBW) with simple demographic and anthropometric data are commonly used by researchers and dialysis units. These equations are largely based on observations in subjects of the Western hemisphere. The purpose of this study was to investigate the possible application of anthropometry‐based TBW equations to a Korean adult control population and maintenance haemodialysis (HD) patients using multifrequency bioelectrical impedance analysis (BIA) as reference. Methods. We performed BIA and anthropometric measurements in 67 healthy adults and 101 HD patients. Four anthropometry‐based equations were used: 58% of actual body weight (TBW‐58), the Watson formula (TBW‐W), the Hume formula (TBW‐H), and the Chertow formula (TBW‐C). Multifrequency BIA was performed at fasting state in controls and after HD. Results. TBW‐BIA was 34.6±6.9 l in control and 29.9±5.1 l in HD patients. TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects. The correlation coefficients of TBW‐BIA with calculated TBWs were lowest in TBW‐58 (0.754 in control and 0.856 in HD subjects), and highest in TBW‐C (0.944 in control and 0.916 in HD subjects). Mean prediction error was greatest in the Chertow formula for control and HD patients. Mean prediction error, limits of agreement, and root mean square error were lowest between TBW‐BIA and TBW‐H in control and between TBW‐BIA and TBW‐W in HD subjects. The correlation coefficient in the Bland–Altman plot was closer to zero and parallel with TBW‐W than TBW‐H in control and HD subjects. Conclusion. Currently available TBW equations overestimate TBW in both Korean normal control subjects and HD patients. Among them, the Watson formula appears to be the closest to TBW and to have the least bias. Based on this analysis, it is reasonable to use the Watson formula for the calculation of TBW in Korean adult control and HD subjects until an Asian‐based TBW equation is available.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>KWD</head><item><term>haemodialysis</term></item><item><term>indirect methods</term></item><item><term>multifrequency bioimpedance</term></item><item><term>total body water</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2001-01">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/7D02939847FF652307B2F37FFFD1788B2C254C9B/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus oup, element #text not found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="US-ASCII"</istex:xmlDeclaration><istex:docType PUBLIC="-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" URI="journalpublishing.dtd" name="istex:docType"></istex:docType><istex:document><article xml:lang="en" article-type="other">
<front>
<journal-meta>
<journal-id journal-id-type="hwp">ndt</journal-id>
<journal-id journal-id-type="nlm-ta">Nephrol Dial Transplant</journal-id>
<journal-id journal-id-type="publisher-id">ndt</journal-id>
<journal-title>Nephrology Dialysis Transplantation</journal-title>
<abbrev-journal-title abbrev-type="publisher">Nephrol. Dial. Transplant.</abbrev-journal-title>
<issn pub-type="ppub">0931-0509</issn>
<issn pub-type="epub">1460-2385</issn>
<publisher>
<publisher-name>Oxford University Press</publisher-name>
</publisher>
</journal-meta>
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<article-id pub-id-type="other">160091</article-id>
<article-id pub-id-type="doi">10.1093/ndt/16.1.91</article-id>
<article-id pub-id-type="pii">1460-2385</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Seoung Woo</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Joon Ho</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Gyeong A</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Kyong Joo</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Moon‐Jae</given-names>
</name>
<xref rid="FN1"></xref>
</contrib>
<aff>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</aff>
</contrib-group>
<pub-date pub-type="ppub">
<month>1</month>
<year>2001</year>
</pub-date>
<volume>16</volume>
<issue>1</issue>
<fpage>91</fpage>
<lpage>97</lpage>
<history>
<date date-type="received">
<day>17</day>
<month>08</month>
<year>1999</year>
</date>
<date date-type="rev-recd">
<day>28</day>
<month>08</month>
<year>2000</year>
</date>
</history>
<permissions>
<copyright-statement>© European Renal Association-European Dialysis and Transplant Association</copyright-statement>
<copyright-year>2001</copyright-year>
</permissions>
<abstract xml:lang="en">
<p><bold>Background.</bold> Several indirect prediction equations to estimate total body water (TBW) with simple demographic and anthropometric data are commonly used by researchers and dialysis units. These equations are largely based on observations in subjects of the Western hemisphere. The purpose of this study was to investigate the possible application of anthropometry‐based TBW equations to a Korean adult control population and maintenance haemodialysis (HD) patients using multifrequency bioelectrical impedance analysis (BIA) as reference.</p>
<p><bold>Methods.</bold> We performed BIA and anthropometric measurements in 67 healthy adults and 101 HD patients. Four anthropometry‐based equations were used: 58% of actual body weight (TBW‐58), the Watson formula (TBW‐W), the Hume formula (TBW‐H), and the Chertow formula (TBW‐C). Multifrequency BIA was performed at fasting state in controls and after HD.</p>
<p><bold>Results.</bold> TBW‐BIA was 34.6±6.9 l in control and 29.9±5.1 l in HD patients. TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects. The correlation coefficients of TBW‐BIA with calculated TBWs were lowest in TBW‐58 (0.754 in control and 0.856 in HD subjects), and highest in TBW‐C (0.944 in control and 0.916 in HD subjects). Mean prediction error was greatest in the Chertow formula for control and HD patients. Mean prediction error, limits of agreement, and root mean square error were lowest between TBW‐BIA and TBW‐H in control and between TBW‐BIA and TBW‐W in HD subjects. The correlation coefficient in the Bland–Altman plot was closer to zero and parallel with TBW‐W than TBW‐H in control and HD subjects.</p>
<p><bold>Conclusion.</bold> Currently available TBW equations overestimate TBW in both Korean normal control subjects and HD patients. Among them, the Watson formula appears to be the closest to TBW and to have the least bias. Based on this analysis, it is reasonable to use the Watson formula for the calculation of TBW in Korean adult control and HD subjects until an Asian‐based TBW equation is available.</p>
</abstract>
<kwd-group kwd-group-type="KWD" xml:lang="en">
<kwd>haemodialysis</kwd>
<kwd>indirect methods</kwd>
<kwd>multifrequency bioimpedance</kwd>
<kwd>total body water</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>hwp-legacy-fpage</meta-name>
<meta-value>91</meta-value>
</custom-meta>
<custom-meta>
<meta-name>hwp-legacy-dochead</meta-name>
<meta-value>Original Articles</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec>
<title>Introduction</title>
<p>Water is the major chemical component of the body and an essential medium of the body's internal environment. Total body water (TBW) is constantly maintained in normal subjects, although it fluctuates approximately ±5% daily because of ongoing physiological processes and the consumption of food and beverages. However, TBW is largely altered by disease, especially in renal insufficiency.</p>
<p>Measurement of TBW is frequently performed to evaluate the body composition and nutritional status in normal subjects and end‐stage renal disease patients. In dialysis patients, the need for an accurate measurement of TBW is particularly important, as it directly relates to urea kinetic modelling and has implications for the assessment of dry weight. The accurate measurement of TBW is difficult, requiring isotopic dilution techniques which are not easily applicable to the clinical setting.</p>
<p>Therefore, several indirect methods of estimating TBW with simple demographic and anthropometric data are commonly employed by researchers and dialysis units, using one of the following: a constant fraction of body weight, i.e. 58% of actual body weight [<xref rid="R1">1</xref>]; the Watson formula [<xref rid="R2">2</xref>], the Hume formula [<xref rid="R3">3</xref>], and the Chertow formula [<xref rid="R4">4</xref>]. Among them, the first three were derived from normal controls whereas the Chertow formula has been from haemodialysis (HD) patients. However, these equations are largely based on subjects of the Western hemisphere. It is unclear whether these equations are also applicable to Asian subjects.</p>
<p>The purpose of this study was to investigate whether anthropometry‐based TBW equations can be applied to the Korean adult control subjects and maintenance HD patients using multifrequency bioelectrical impedance analysis (BIA) as reference.</p>
</sec>
<sec>
<title>Subjects and methods</title>
<sec>
<title>Study subjects</title>
<p>We performed BIA and anthropometric measurements cross‐sectionally in June 1998 at Inha University Hospital, Inchon, Korea. Sixty‐seven healthy adults and 101 stable HD patients on HD for more than 3 months, participated in this study. Patients with clinical signs of overhydration (peripheral pitting oedema and neck vein distension), those with congestive heart failure, infection, hemiplegia, or admission within 3 months, were excluded, as were amputees and those aged <18 years.</p>
<p>In healthy controls, the study was performed in the fasting state and after urination. In HD patients, the study was performed 30–60 min after a mid‐week dialysis session (Wednesday or Thursday) because the assessment of TBW by BIA immediately post‐dialysis overestimates the actual volume of ultrafiltrate removed. Height was measured to the nearest 0.1 cm using a linear height scale, and body weight was measured to the nearest 0.1 kg using an electronic weight scale. Mean values of two measurements were used for the analysis of data.</p>
<p>We also used extracellular water (ECW)/TBW ratio as a tool of hydration status [<xref rid="R5">5</xref>]. Patients in whom ECW/TBW ratios were below the upper limit of control were also analysed using the statistical methods given below.</p>
</sec>
<sec>
<title>Anthropometry‐derived TBW calculations</title>
<p>TBW was calculated as 0.58 times actual body weight (kg) (TBW‐58) [<xref rid="R1">1</xref>], by the Watson formula (TBW‐W) [<xref rid="R2">2</xref>], by the Hume formula (TBW‐H) [<xref rid="R3">3</xref>], and the Chertow formula (TBW‐C) [<xref rid="R4">4</xref>].</p>
</sec>
<sec>
<title>Watson formula</title>
<p>
<disp-formula>
<graphic xlink:href="160091E001"></graphic>
</disp-formula>
</p>
</sec>
<sec>
<title>Hume formula</title>
<p>
<disp-formula>
<graphic xlink:href="160091E002"></graphic>
</disp-formula>
</p>
</sec>
<sec>
<title>Chertow formula</title>
<p>
<disp-formula>
<graphic xlink:href="160091E003a"></graphic>
</disp-formula>
<disp-formula>
<graphic xlink:href="160091E003b"></graphic>
</disp-formula>
</p>
</sec>
<sec>
<title>TBW measurement by BIA (TBW‐BIA)</title>
<p>For determination of TBW‐BIA we used a prototype segmental BIA (Inbody 2.0<sup>®</sup>, Biospace Co. Ltd, Seoul, Korea), which has eight tactile electrodes, the measurement of patients being carried out in the upright posture. With the patient standing on the sole electrodes and gripping the hand electrodes, the microprocessor‐controlled switches and impedance analyser were started and segmental resistances of right arm, left arm, trunk, right leg, and left leg were measured at four frequencies (5, 50, 250 and 500 kHz). Thus a set of 20 segmental resistances was measured for an individual. With these data, TBW was calculated from the sum of each body segment, using equations in the BIA software. The procedure was performed in 3 min or less. To analyse the repeatability of the study, BIA was performed five times at intervals of 3 min in nine HD patients. The mean of the standard deviation and the coefficient of variation of each set of readings were 0.10 and 0.29%.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Data were expressed as mean±SD. TBWs were compared with ANOVA. To assess the agreement between TBW‐BIA and the calculated TBWs, each TBW derived from anthropometry was compared with TBW‐BIA using correlation coefficient (<italic>r</italic>), mean prediction error, limits of agreement, root mean square error (RMSE) and Bland–Altman plots [<xref rid="R6">6</xref>]. High correlation means that the measurements by the two methods are linearly related. However, this high correlation does not mean that the two methods agree. With Bland–Altman plots, which calculate differences against mean of the measurements of two methods, we can summarize the lack of agreement by calculating the bias, estimated by mean prediction error and the standard deviation of the differences. The mean prediction error is an indication of bias but not accuracy. The limits of agreement are only estimates of the values which apply to the whole population. The RMSE value is used as a measure of the goodness of fit of an equation. If there is more than one equation to fit the data, the one with the smallest RMSE value has the highest precision. Correlation was described with the Pearson coefficient (<italic>r</italic>). The equations used for mean prediction error and RMSE are as follows: <disp-formula><graphic xlink:href="160091E004"></graphic></disp-formula> where <italic>n</italic> is the sample size. The limits of agreement were defined as the mean prediction error (ME)±2 SD of the ME. A 0.05 level of significance was used in all statistical analyses. To quantitate the degree of bias in the four formulae, we compared the correlation coefficients of the respective residuals and averages. The closer the correlation coefficient of Bland–Altman plot is to zero, the less the bias.</p>
</sec>
<sec>
<title>Results</title>
<p>Subject characteristics are presented in Table 1<xref rid="T1"></xref>. In HD patients, mean ages were 50.0±13.8 years, male to female ratio was 1 : 1.1, diabetics 21 (20.8%), and mean duration of dialysis was 15.2±7.4 months. Compared to controls, HD patients had significantly less height, body weight, body mass index, and fat mass, and comprised more females.</p>
<p>The correlation coefficients of TBW‐BIA with calculated TBWs were lowest in TBW‐58 (0.856 in control and 0.754 in HD), and highest in TBW‐C (0.944 in control and 0.916 in HD) (Figures 1<xref rid="F1"></xref> and 2<xref rid="F2"></xref>). Correlation coefficients were slightly higher in TBW‐H, compared with TBW‐W in both groups. TBW‐C showed a considerable degree of separation with line of identity in both control and HD patients, in spite of the highest correlation coefficient. Figures 1<xref rid="F1"></xref> and 2<xref rid="F2"></xref> also show a trend that anthropometry‐derived TBWs overestimate, as TBW‐BIAs went to the left and reached to the line of identity or even across the line of identity, and TBW‐BIAs went to the right in abscissa.</p>
<p>Table 2<xref rid="T2"></xref> shows the results of TBW measurements. TBW‐BIA was 34.6±6.9 l in control and 29.9±5.1 l in HD patients. Among them, TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects.</p>
<p>The Bland–Altman method gives a visual representation (Figures 3<xref rid="F3"></xref> and 4<xref rid="F4"></xref>). In control, mean prediction errors and limits of agreements were −1.78 l and (3.08∼−6.64) l in TBW‐W, −1.55 l and (3.27∼−6.37) l in TBW‐H, −4.26 l and (0.36∼−8.88) l in TBW‐C, and −3.67 l and (3.69∼−11.03) l in TBW‐58 (Table 3<xref rid="T3"></xref>). In HD patients, mean prediction errors and limits of agreements were −1.37 l and (3.19∼−5.93) l in TBW‐W, −1.90 l and (2.24∼−6.04) l in TBW‐H, −3.98 l and (0.18∼−8.14) l in TBW‐C, −2.05 l and (4.97∼−9.07) l in TBW‐58.</p>
<p>Mean prediction error was greatest in the Chertow formula (3.98 l in HD and 4.26 l in control) (Table 3<xref rid="T3"></xref>). Mean prediction error and limits of agreement was lowest between TBW‐BIA and TBW‐H in control and between TBW‐BIA and TBW‐W in HD subjects. RMSE was lowest between TBW‐BIA and TBW‐H (2.85) in control and TBW‐W (2.65) in HD. The correlation coefficients in the Bland–Altman plot was closer to zero and parallel with TBW‐W (<italic>r</italic>=0.099 and 0.135) than TBW‐H (<italic>r</italic>=0.313 and 0.168) in control and HD subjects. When the patients were restricted to those (<italic>n</italic>=58) in whom ECW/TBW ratios were below upper limit (0.348) of control, the results were similar.</p>
<p>We developed a new equation based on the data in HD patients. <disp-formula><graphic xlink:href="160091E005"></graphic></disp-formula> Adjusted <italic>R</italic><sup>2</sup> is 0.7535. <disp-formula><graphic xlink:href="160091E006"></graphic></disp-formula> Adjusted <italic>R</italic><sup>2</sup> is 0.6758.</p>
</sec>
<sec>
<title></title>
<p>
<fig id="F1" position="float">
<label>
<bold>Fig. 1.</bold>
</label>
<caption>
<p>Correlation between TBW by prediction equations and TBW by BIA in healthy control subjects. TBW‐W, TBW by Watson formula; TBW‐H, TBW by Hume formula; TBW‐58, TBW of 58% of actual body weight; TBW‐C, TBW by Chertow formula; TBW‐BIA, TBW by BIA. Dotted line=linear regression line, solid line=line of identity.</p>
</caption>
<graphic xlink:href="ND72222.32.1"></graphic>
</fig>
</p>
<p>
<fig id="F2" position="float">
<label>
<bold>Fig. 2.</bold>
</label>
<caption>
<p>Correlation between TBW by prediction equations and TBW by BIA in HD patients. TBW‐W, TBW by Watson formula; TBW‐H, TBW by Hume formula; TBW‐58, TBW of 58% of actual body weight; TBW‐C, TBW by Chertow formula; TBW‐BIA, TBW by BIA. Dotted line=linear regression line; solid line=line of identity.</p>
</caption>
<graphic xlink:href="ND72222.32.2"></graphic>
</fig>
</p>
<p>
<fig id="F3" position="float">
<label>
<bold>Fig. 3.</bold>
</label>
<caption>
<p>Graphical plot of the Bland–Altman representation of the difference between four anthropometry‐based TBW and TBW‐BIA in control subjects. The three horizontal lines indicate upper limit of agreement, mean prediction error, and lower limit of agreement. TBW‐W, TBW by Watson formula; TBW‐H, TBW by Hume formula; TBW‐58, TBW of 58% of actual body weight; TBW‐C, TBW by Chertow formula; TBW‐BIA, TBW by BIA.</p>
</caption>
<graphic xlink:href="ND72222.32.3"></graphic>
</fig>
</p>
<p>
<fig id="F4" position="float">
<label>
<bold>Fig. 4.</bold>
</label>
<caption>
<p>Graphical plot of the Bland–Altman representation of the difference between four anthropometry‐based TBW and TBW‐BIA in HD patients. The three horizontal lines indicate upper limit of agreement, mean prediction error, and lower limit of agreement. TBW‐W, TBW by Watson formula; TBW‐H, TBW by Hume formula; TBW‐58, TBW of 58% of actual body weight; TBW‐C, TBW by Chertow formula; TBW‐BIA: TBW by BIA.</p>
</caption>
<graphic xlink:href="ND72222.32.4"></graphic>
</fig>
</p>
<p>
<table-wrap id="T1" position="float">
<label>
<bold>Table 1.</bold>
</label>
<caption>
<p>Baseline characteristics of study subjects</p>
</caption>
<table>
<tbody>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top">HD</td>
<td colspan="1" rowspan="1" align="left" valign="top">Controls</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">
<hr></hr>
</td>
<td colspan="1" rowspan="1" align="left" valign="top">(<italic>n</italic>=101)<hr></hr></td>
<td colspan="1" rowspan="1" align="left" valign="top">(<italic>n</italic>=67)<hr></hr></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">Age (years)</td>
<td colspan="1" rowspan="1" align="left" valign="top">50.1±13.8</td>
<td colspan="1" rowspan="1" align="left" valign="top">43.6±16.5*</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">Sex (% female)</td>
<td colspan="1" rowspan="1" align="left" valign="top">51.5</td>
<td colspan="1" rowspan="1" align="left" valign="top">34.3*</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">HD duration (months)</td>
<td colspan="1" rowspan="1" align="left" valign="top">15.2±7.4</td>
<td colspan="1" rowspan="1" align="left" valign="top">–</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">Diabetes (%)</td>
<td colspan="1" rowspan="1" align="left" valign="top">20.8</td>
<td colspan="1" rowspan="1" align="left" valign="top">0</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">Height (cm)</td>
<td colspan="1" rowspan="1" align="left" valign="top">161.3±8.0</td>
<td colspan="1" rowspan="1" align="left" valign="top">165.0±9.4*</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">Weight (kg)</td>
<td colspan="1" rowspan="1" align="left" valign="top">55.1±8.3</td>
<td colspan="1" rowspan="1" align="left" valign="top">65.9±11.7*</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td colspan="1" rowspan="1" align="left" valign="top">20.9±3.5</td>
<td colspan="1" rowspan="1" align="left" valign="top">24.2±3.5*</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HD, haemodialysis; BMI, body mass index.</p>
<p>*<italic>P</italic><0.05 <italic>vs</italic> HD.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</p>
<p>
<table-wrap id="T2" position="float">
<label>
<bold>Table 2.</bold>
</label>
<caption>
<p>Results of TBW by different equations</p>
</caption>
<table>
<tbody>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">TBW (Litre)</td>
<td colspan="1" rowspan="1" align="left" valign="top">Control<hr></hr></td>
<td colspan="1" rowspan="1" align="left" valign="top">HD<hr></hr></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">
<hr></hr>
</td>
<td colspan="1" rowspan="1" align="left" valign="top">Mean±SD<hr></hr></td>
<td colspan="1" rowspan="1" align="left" valign="top">Mean±SD<hr></hr></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–BIA</td>
<td colspan="1" rowspan="1" align="left" valign="top">34.6±6.9</td>
<td colspan="1" rowspan="1" align="left" valign="top">29.9±5.1</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–W</td>
<td colspan="1" rowspan="1" align="left" valign="top">36.4±6.7</td>
<td colspan="1" rowspan="1" align="left" valign="top">31.3±4.8</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–H</td>
<td colspan="1" rowspan="1" align="left" valign="top">36.1±6.2</td>
<td colspan="1" rowspan="1" align="left" valign="top">31.8±4.8</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–58</td>
<td colspan="1" rowspan="1" align="left" valign="top">38.2±6.8*</td>
<td colspan="1" rowspan="1" align="left" valign="top">31.9±4.8**</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–C</td>
<td colspan="1" rowspan="1" align="left" valign="top">38.8±6.8*</td>
<td colspan="1" rowspan="1" align="left" valign="top">33.9±5.0**</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*<italic>P</italic><0.05 <italic>vs</italic> TBW–BIA in control; **<italic>P</italic><0.05 <italic>vs</italic> TBW–BIA in HD.</p>
<p>TBW–BIA, TBW by BIA; TBW–W, TBW by Watson formula; TBW–H, TBW by Hume formula; TBW–58, TBW by 0.58×body weight.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</p>
<p>
<table-wrap id="T3" position="float">
<label>
<bold>Table 3.</bold>
</label>
<caption>
<p>Mean prediction error and root mean square prediction error for measuring TBW by four different equations, compared to TBW–BIA</p>
</caption>
<table>
<tbody>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">
<hr></hr>
</td>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–58<hr></hr></td>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–W<hr></hr></td>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–H<hr></hr></td>
<td colspan="1" rowspan="1" align="left" valign="top">TBW–C<hr></hr></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">Control</td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> <italic>n</italic></td>
<td colspan="1" rowspan="1" align="left" valign="top">67</td>
<td colspan="1" rowspan="1" align="left" valign="top">67</td>
<td colspan="1" rowspan="1" align="left" valign="top">67</td>
<td colspan="1" rowspan="1" align="left" valign="top">67</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> ME</td>
<td colspan="1" rowspan="1" align="left" valign="top">−3.67</td>
<td colspan="1" rowspan="1" align="left" valign="top">−1.78</td>
<td colspan="1" rowspan="1" align="left" valign="top">−1.55</td>
<td colspan="1" rowspan="1" align="left" valign="top">−4.26</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> Limits of agreement</td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> Upper</td>
<td colspan="1" rowspan="1" align="left" valign="top">3.69</td>
<td colspan="1" rowspan="1" align="left" valign="top">3.08</td>
<td colspan="1" rowspan="1" align="left" valign="top">3.27</td>
<td colspan="1" rowspan="1" align="left" valign="top">0.36</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> Lower</td>
<td colspan="1" rowspan="1" align="left" valign="top">−11.03</td>
<td colspan="1" rowspan="1" align="left" valign="top">−6.64</td>
<td colspan="1" rowspan="1" align="left" valign="top">−6.37</td>
<td colspan="1" rowspan="1" align="left" valign="top">−8.88</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> RMSE</td>
<td colspan="1" rowspan="1" align="left" valign="top">5.17</td>
<td colspan="1" rowspan="1" align="left" valign="top">3.00</td>
<td colspan="1" rowspan="1" align="left" valign="top">2.85</td>
<td colspan="1" rowspan="1" align="left" valign="top">4.84</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">HD</td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> <italic>n</italic></td>
<td colspan="1" rowspan="1" align="left" valign="top">101</td>
<td colspan="1" rowspan="1" align="left" valign="top">101</td>
<td colspan="1" rowspan="1" align="left" valign="top">101</td>
<td colspan="1" rowspan="1" align="left" valign="top">101</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> ME</td>
<td colspan="1" rowspan="1" align="left" valign="top">−2.05</td>
<td colspan="1" rowspan="1" align="left" valign="top">−1.37</td>
<td colspan="1" rowspan="1" align="left" valign="top">−1.90</td>
<td colspan="1" rowspan="1" align="left" valign="top">−3.98</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> Limits of agreement</td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
<td colspan="1" rowspan="1" align="left" valign="top"></td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> Upper</td>
<td colspan="1" rowspan="1" align="left" valign="top">4.97</td>
<td colspan="1" rowspan="1" align="left" valign="top">3.19</td>
<td colspan="1" rowspan="1" align="left" valign="top">2.24</td>
<td colspan="1" rowspan="1" align="left" valign="top">0.18</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top"> Lower</td>
<td colspan="1" rowspan="1" align="left" valign="top">−9.07</td>
<td colspan="1" rowspan="1" align="left" valign="top">−5.93</td>
<td colspan="1" rowspan="1" align="left" valign="top">−6.04</td>
<td colspan="1" rowspan="1" align="left" valign="top">−8.14</td>
</tr>
<tr>
<td colspan="1" rowspan="1" align="left" valign="top">RMSE</td>
<td colspan="1" rowspan="1" align="left" valign="top">4.04</td>
<td colspan="1" rowspan="1" align="left" valign="top">2.65</td>
<td colspan="1" rowspan="1" align="left" valign="top">2.8</td>
<td colspan="1" rowspan="1" align="left" valign="top">4.49</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ME (mean prediction error), (TBW–BIA)—other equations; RMSE, root mean square prediction error; TBW–BIA, TBW by BIA; TBW–W, TBW by Watson formula; TBW–H, TBW by Hume formula; TBW–58, TBW by 0.58×actual body weight; TBW–C, TBW by Chertow formula.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</p>
</sec>
<sec>
<title>Discussion</title>
<p>In this study all of the anthropometry‐based equations overestimated TBW in both control and HD subjects. TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects. Mean prediction errors, limits of agreement and RMSE were relatively small and comparable in the Watson and the Hume formulae in control and HD. However, the degree of bias was greater in the Hume formula than in the Watson formula.</p>
<p>These results were similar to the study of Borgonha <italic>et al</italic>. [<xref rid="R7">7</xref>], in which anthropometry‐based prediction equations overestimated TBW from 0.87±2.49 to 2.47±2.57 kg, compared to the deuterium dilution method in Indian men. In the study of Arkouche <italic>et al</italic>. [<xref rid="R8">8</xref>] with peritoneal dialysis patients, they compared the Watson formula and 58% of body weight method with O<sup>18</sup> method; 58% of body weight method considerably overestimated TBW (mean prediction error+5.4 kg). The best prediction of TBW was obtained with the Watson formula in their study [<xref rid="R8">8</xref>], which produced results similar to ours.</p>
<p>This overestimation seems to have originated from different ethnic backgrounds or body builds. The currently available equations are derived from healthy Western people. Compared to a Caucasian population, the Asians were smaller, had a lower body weight and lower values of body water compartments. Therefore it is natural that systematic errors occur when applying prediction formulae from a reference population to another population under study. Indeed, Borgonha <italic>et al</italic>. [<xref rid="R7">7</xref>] found that the Hume formula overestimated TBW by 2.47±2.57 kg in Indian men. Deurenberg <italic>et al</italic>. [<xref rid="R9">9</xref>] pointed out that body composition equations should be corrected when applying them to another race with different body build. Zillikens and Conway [<xref rid="R10">10</xref>] also showed that TBW was significantly underestimated in black subjects by using equations developed in white populations. Arkouche <italic>et al</italic>. [<xref rid="R8">8</xref>] noted that the extreme values were obtained for the Asian patients by the Watson formula. In this study, TBW‐BIAs of healthy control were small compared to those of the study of Watson <italic>et al</italic>. [<xref rid="R2">2</xref>] and even smaller than those of The Fels Study in 1999 [<xref rid="R11">11</xref>]. In HD patients, TBWs were also small compared to Western HD patients [<xref rid="R12">12</xref>]. Most researchers and dialysis centres utilize one of several available regression equations for the calculation of TBW, which incorporate age, gender, height, and weight. In dialysis patients, the overestimation of TBW causes the inaccurate measurement of HD adequacy, that is, the underestimation of Kt/V<sub>urea</sub>. Indeed, prediction equations are population‐specific, and validation is required when these equations are applied to a new group of subjects [<xref rid="R13">13</xref>]. Thus, Asian‐specific anthropometry‐derived TBW equations are needed. Researchers should also keep in mind this problem of the evaluation of adequacy in Asian population.</p>
<p>We used segmental BIA, which was the prototype of multifrequency BIA as the reference method for the measurement of TBW. The gold standard is the isotope dilution method, but it is invasive and technically time consuming. On the other hand, BIA is a quick, safe, and non‐invasive technique that requires little help from the patient. Furthermore, dialysis centres require simple and reliable measures of TBW because the application of sophisticated direct measurement methods are not practical.</p>
<p>Numerous investigators have shown that TBW can be accurately and reliably estimated by BIA in normal adults. In dialysis patients, however, several studies reported inaccuracy of BIA on the assessment of TBW in dialysis patients [<xref rid="R8">8</xref>,<xref rid="R14">14</xref>,<xref rid="R15">15</xref>]. However, BIAs used in these studies were generally single‐frequency BIA. Recently, multifrequency BIA (MFBIA), by which it is possible to distinguish between intracellular and extracellular spaces, was introduced to measure more precisely the body volume. MFBIA was superior to single‐frequency BIA in the evaluation of body water distribution in end‐stage renal disease and other clinical disorders of fluid volume and/or distribution [<xref rid="R16">16</xref>] and validated for assessment of body water in HD patients [<xref rid="R17">17</xref>]. However, BIA has not found universal acceptance even with the introduction of MFBIA. The major reason is that no single algorithm has been developed which can be applied to all subject groups. This may be due, in part, to the commonly used wrist‐to‐ankle protocol, the so‐called whole body BIA, which is not indicated by the basic theory of bioimpedance, where the body is considered as five interconnecting cylinders. In addition, significant errors may occur in the measurement of TBW from whole‐body BIA during fever, in the supine or standing positions, during cramps, with lymphoedema, or in the presence of a native arteriovenous fistula, a catheter in a central vein, or a graft in HD patients [<xref rid="R18">18</xref>].</p>
<p>With this background, segmental BIA appears to be a promising technique to be evaluated in maintenance dialysis patients [<xref rid="R13">13</xref>]. Although we did not validate TBW estimation by segmental BIA with a gold standard method, segmental BIA has already been validated as a technique to assess dry weight [<xref rid="R19">19</xref>]. In addition, errors from whole body BIA estimation were reduced by the use of segmental BIA [<xref rid="R20">20</xref>].</p>
<p>In summary, currently available TBW equations overestimate TBW in both Korean normal control subjects and HD patients. The Watson formula appears to be the closest to TBW and to have least bias. Based on this analysis, it is reasonable to use the Watson formula for the calculation of TBW in Korean adult control and HD subjects until the Asian‐based TBW equation is available.</p>
</sec>
</sec>
<sec>
<title></title>
<p>
<fn id="FN1" xml:lang="en">
<p><italic>Correspondence and offprint requests to</italic>: Moon‐Jae Kim MD, Director, Kidney Center, Inha University Hospital, 7‐206 3‐Ga, Sinhung‐Dong, Jung‐Gu, Inchon, Korea, 400‐103.</p>
</fn>
</p>
</sec>
</body>
<back>
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</istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Assessment of total body water from anthropometry‐based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects</title></titleInfo><name type="personal"><namePart type="given">Seoung Woo</namePart><namePart type="family">Lee</namePart><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Joon Ho</namePart><namePart type="family">Song</namePart><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gyeong A</namePart><namePart type="family">Kim</namePart><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kyong Joo</namePart><namePart type="family">Lee</namePart><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Moon‐Jae</namePart><namePart type="family">Kim</namePart><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation><affiliation>Division of Nephrology‐Hypertension, Department of Internal Medicine, Inha University College of Medicine, Inchon, Korea</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="other" displayLabel="other"></genre><originInfo><publisher>Oxford University Press</publisher><dateIssued encoding="w3cdtf">2001-01</dateIssued><copyrightDate encoding="w3cdtf">2001</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Background. Several indirect prediction equations to estimate total body water (TBW) with simple demographic and anthropometric data are commonly used by researchers and dialysis units. These equations are largely based on observations in subjects of the Western hemisphere. The purpose of this study was to investigate the possible application of anthropometry‐based TBW equations to a Korean adult control population and maintenance haemodialysis (HD) patients using multifrequency bioelectrical impedance analysis (BIA) as reference. Methods. We performed BIA and anthropometric measurements in 67 healthy adults and 101 HD patients. Four anthropometry‐based equations were used: 58% of actual body weight (TBW‐58), the Watson formula (TBW‐W), the Hume formula (TBW‐H), and the Chertow formula (TBW‐C). Multifrequency BIA was performed at fasting state in controls and after HD. Results. TBW‐BIA was 34.6±6.9 l in control and 29.9±5.1 l in HD patients. TBW‐58 and TBW‐C gave significantly greater TBWs than TBW‐BIA in both control and HD subjects. The correlation coefficients of TBW‐BIA with calculated TBWs were lowest in TBW‐58 (0.754 in control and 0.856 in HD subjects), and highest in TBW‐C (0.944 in control and 0.916 in HD subjects). Mean prediction error was greatest in the Chertow formula for control and HD patients. Mean prediction error, limits of agreement, and root mean square error were lowest between TBW‐BIA and TBW‐H in control and between TBW‐BIA and TBW‐W in HD subjects. The correlation coefficient in the Bland–Altman plot was closer to zero and parallel with TBW‐W than TBW‐H in control and HD subjects. Conclusion. Currently available TBW equations overestimate TBW in both Korean normal control subjects and HD patients. Among them, the Watson formula appears to be the closest to TBW and to have the least bias. Based on this analysis, it is reasonable to use the Watson formula for the calculation of TBW in Korean adult control and HD subjects until an Asian‐based TBW equation is available.</abstract><subject lang="en"><genre>KWD</genre><topic>haemodialysis</topic><topic>indirect methods</topic><topic>multifrequency bioimpedance</topic><topic>total body water</topic></subject><relatedItem type="host"><titleInfo><title>Nephrology Dialysis Transplantation</title></titleInfo><titleInfo type="abbreviated"><title>Nephrol. Dial. Transplant.</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0931-0509</identifier><identifier type="eISSN">1460-2385</identifier><identifier type="PublisherID">ndt</identifier><identifier type="PublisherID-hwp">ndt</identifier><identifier type="PublisherID-nlm-ta">Nephrol Dial Transplant</identifier><part><date>2001</date><detail type="volume"><caption>vol.</caption><number>16</number></detail><detail type="issue"><caption>no.</caption><number>1</number></detail><extent unit="pages"><start>91</start><end>97</end></extent></part></relatedItem><identifier type="istex">7D02939847FF652307B2F37FFFD1788B2C254C9B</identifier><identifier type="DOI">10.1093/ndt/16.1.91</identifier><identifier type="PII">1460-2385</identifier><identifier type="local">160091</identifier><accessCondition type="use and reproduction" contentType="copyright">© European Renal Association-European Dialysis and Transplant Association</accessCondition><recordInfo><recordContentSource>OUP</recordContentSource></recordInfo></mods></metadata><annexes><json:item><extension>jpeg</extension><original>true</original><mimetype>image/jpeg</mimetype><uri>https://api.istex.fr/document/7D02939847FF652307B2F37FFFD1788B2C254C9B/annexes/jpeg</uri></json:item><json:item><extension>gif</extension><original>true</original><mimetype>image/gif</mimetype><uri>https://api.istex.fr/document/7D02939847FF652307B2F37FFFD1788B2C254C9B/annexes/gif</uri></json:item></annexes><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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