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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mml="http://www.w3.org/1998/Math/MathML">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">KJIM</journal-id>
<journal-title-group>
<journal-title>The Korean Journal of Internal Medicine</journal-title></journal-title-group>
<issn pub-type="ppub">1226-3303</issn>
<issn pub-type="epub">2005-6648</issn>
<publisher>
<publisher-name>Korean Association of Internal Medicine</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3904/kjim.1999.14.2.64</article-id>
<article-id pub-id-type="publisher-id">kjim-14-2-64-10</article-id>
<article-categories>
<subj-group>
<subject>Original Article</subject></subj-group></article-categories>
<title-group>
<article-title>Assessment of Body Composition Using Dual Energy X-Ray Absorptiometry in Patients with Liver Cirrhosis: Comparison with Anthropometry</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jeong</surname><given-names>Seong Han</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Jeong A</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Jin A</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Mun Woo</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Chae</surname><given-names>Hee Bok</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Choi</surname><given-names>Won Jun</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Shin</surname><given-names>Hyoung Shik</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Ki Hyeong</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Youn</surname><given-names>Sei Jin</given-names></name>
<degrees>M.D.</degrees></contrib>
<contrib contrib-type="author">
<name><surname>Koong</surname><given-names>Sung Soo</given-names></name>
<degrees>M.D.</degrees><xref ref-type="aff" rid="af2-kjim-14-2-64-10"><sup>&#x0002A;</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Seon Mee</given-names></name>
<degrees>M.D.</degrees><xref ref-type="corresp" rid="c1-kjim-14-2-64-10"/></contrib></contrib-group>
<aff id="af1-kjim-14-2-64-10">Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea</aff>
<aff id="af2-kjim-14-2-64-10">
<label>&#x0002A;</label>Department of Nuclear Medicine, Chungbuk National University College of Medicine, Cheongju, Korea</aff>
<author-notes>
<corresp id="c1-kjim-14-2-64-10">Address reprint requests to: Seon Mee Park, M. D, Department of Internal Medicine, College of Medicine, Chungbuk National University, San 48, Kaesindong, Cheongju, Chungbuk, 361-763, Korea</corresp></author-notes>
<pub-date pub-type="ppub">
<month>7</month>
<year>1999</year></pub-date>
<volume>14</volume>
<issue>2</issue>
<fpage>64</fpage>
<lpage>71</lpage>
<permissions>
<copyright-statement>Copyright &#x000A9; 1999 The Korean Association of Internal Medicine</copyright-statement>
<copyright-year>1999</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>The aim of this study was to evaluate changes of body composition in cirrhotic patients. Dual energy x-ray absorptiometry (DEXA) and anthropometry were used, and the values obtained were compared.</p></sec>
<sec>
<title>Methods</title>
<p>Mid-arm fat and muscle areas were calculated by anthropometry in 66 cirrhotic patients and 94 healthy controls. In 37 of the cirrhotic patients and 39 of the controls, fat mass, lean soft tissue mass and bone mineral contents were measured with DEXA.</p></sec>
<sec>
<title>Results</title>
<p>The number of cirrhotic patients with measured values below the fifth percentile of normal controls was 21 (31.8&#x00025;) by mid-arm fat area, six (9.1&#x00025;) by mid-arm muscle area, 15 (40.5&#x00025;) by fat mass and 0 (0&#x00025;) by lean soft tissue mass. The fat mass in cirrhotic patients was less than in controls, whereas lean soft tissue mass and bone mineral content were not different. Fat depletion was severe in Child-class C patients and with severe ascites. Mid-arm fat area and fat mass showed close correlation (r &#x0003D; 0.85, p&lt;0.01), but mid-arm muscle area and lean soft tissue mass showed poor correlation (r &#x0003D; 0.32, p&lt;0.05).</p></sec>
<sec>
<title>Conclusion</title>
<p>Cirrhotic patients showed lower fat component, with preserved lean soft tissue mass and bone mineral content. In clinical practice, the measurement of mid-arm fat area was useful for the assessment of fat mass.</p></sec></abstract>
<kwd-group>
<kwd>Liver Cirrhosis</kwd>
<kwd>Body Composition</kwd>
<kwd>Dual Energy X-ray Absorptiometry</kwd>
<kwd>Anthropometry</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>More than 60&#x00025; of patients with liver cirrhosis suffer from malnutrition<sup><xref ref-type="bibr" rid="b1-kjim-14-2-64-10">1</xref>)</sup>, and this may adversely affect morbidity and mortality in liver cirrhosis<sup><xref ref-type="bibr" rid="b2-kjim-14-2-64-10">2</xref>&#x02013;<xref ref-type="bibr" rid="b4-kjim-14-2-64-10">4</xref>)</sup>. Proper nutrition may reduce complications and increase survival rates<sup><xref ref-type="bibr" rid="b5-kjim-14-2-64-10">5</xref>&#x02013;<xref ref-type="bibr" rid="b7-kjim-14-2-64-10">7</xref>)</sup>, though accurate, quantitative nutritional assessment is difficult in patients with liver cirrhosis; conventional markers, such as weight, serum albumin levels and peripheral lymphocyte counts, are influenced by non-nutritional factors<sup><xref ref-type="bibr" rid="b8-kjim-14-2-64-10">8</xref>)</sup>.</p>
<p>Changes in one or more body components not only provide early detection of malnutrition but also show the pattern of specific tissue loss, and this might provide insight into the disease process and information regarding outcome and prognosis<sup><xref ref-type="bibr" rid="b9-kjim-14-2-64-10">9</xref>,<xref ref-type="bibr" rid="b10-kjim-14-2-64-10">10</xref>)</sup>. The methods used include anthropometric assessment, bioelectric impedance analysis, isotope dilution, the measurement of total body potassium, dual energy x-ray absorptiometry (DEXA) and neutron activation<sup><xref ref-type="bibr" rid="b11-kjim-14-2-64-10">11</xref>)</sup>. Neutron activation analysis, DEXA or deuterium oxide dilution accurately reflect changes in body composition associated with chronic liver disease<sup><xref ref-type="bibr" rid="b9-kjim-14-2-64-10">9</xref>)</sup>. Because of availability problems, cost and the amount of radiation involved, the clinical use of neutron activation analysis is limited<sup><xref ref-type="bibr" rid="b12-kjim-14-2-64-10">12</xref>)</sup>. DEXA measures three body components: fat mass, lean soft tissue mass (comprising muscle, inner organs and body water) and bone mineral content, and is a quick, simple method for body composition analysis. Its advantages are the relatively low radiation dose, excellent reproducibility and high precision<sup><xref ref-type="bibr" rid="b11-kjim-14-2-64-10">11</xref>,<xref ref-type="bibr" rid="b12-kjim-14-2-64-10">12</xref>)</sup>. In clinical practice, the most reliable method of nutritional assessment is anthropometric measurement. It is simple, and may be used as a bedside tool<sup><xref ref-type="bibr" rid="b13-kjim-14-2-64-10">13</xref>)</sup>, but its drawback is the potential of underestimation of fat loss in cirrhotic patients with subcutaneous fluid retention<sup><xref ref-type="bibr" rid="b9-kjim-14-2-64-10">9</xref>)</sup>. Measurements need to be validated by comparison with the results obtained by reference methods.</p>
<p>In this study, anthropometric measurements and DEXA were chosen because the former are quick, and easily performed at the bedside, and the latter accurately reflects changes in body composition associated with chronic liver disease<sup><xref ref-type="bibr" rid="b11-kjim-14-2-64-10">11</xref>)</sup>. We analysed the changes of body composition of patients with liver cirrhosis and compared them with those for healthy control subjects. Body composition was determined using anthropometry for fat and fat-free mass and DEXA for body fat, lean soft tissue mass and bone mineral content. The anthropometric findings for lean and fat tissue mass in cirrhotic patients were compared with those for total fat mass and lean soft tissue mass measured by DEXA.</p></sec>
<sec sec-type="materials|methods">
<title>MATERIALS AND METHODS</title>
<sec sec-type="subjects">
<title>1. Patients (<xref ref-type="table" rid="t1-kjim-14-2-64-10">Table 1</xref>)</title>
<p>Sixty-six patients (58 males, 8 females) with liver cirrhosis and 94 healthy controls (49 males, 45 females) were enrolled in this study. Their mean age was 51.8 (range 30&#x02013;67) years and 52.9 (range 40&#x02013;68) years, respectively. Control group consisted of volunteers who were considered healthy on the bases of history taking, physical examination and blood chemistries. The liver cirrhosis was diagnosed with liver function tests, abdominal CT or ultrasonography and clinical evidence of portal hypertension such as varices, splenomegaly or ascites. Patients with recent gastrointestinal hemorrhage, infection or malignancy were excluded. The severity of ascites was graded as mild or non-existent (detectable only by ultrasonography), moderate (obvious but less than tense) or severe (tense). In the cirrhotic group, ascites was mild or non-existent in 20 patients, moderate in 35 and severe in 11. In those with ascites or edema, all evaluation was made after disappearance of ascites and edema with medical treatment. Liver cirrhosis was virus-related in 44 cases and alcohol-related in 22. Child-Pugh scores showed that 25 were Child-class A, 24 were class B and 17 were class C. Anthropometry was performed in all cases, but DEXA was measured only in 37 cirrhotic patients and 39 controls who agreed with that test. The retrograde analyses of clinical parameters, such as age, body weight, body mass index and Child-classes detected no difference between the DEXA group and the non-DEXA group in both patient and control groups (<xref ref-type="table" rid="t1-kjim-14-2-64-10">Table 1</xref>).</p></sec>
<sec sec-type="methods">
<title>2. Methods</title>
<sec>
<title>1) Assessment of body composition by anthropometry and DEXA</title>
<p>Anthropometric measurements of mid-arm circumference (MAC) and triceps skinfold thickness (TSF) were obtained using a skinfold caliper (Fabrication Enterprises Incorporated, New York, USA) and a flexible steel tape. Measurements were taken midway between the tip of the acromion and olecranon process of the left arm, while the patient stood in a relaxed position<sup><xref ref-type="bibr" rid="b17-kjim-14-2-64-10">17</xref>)</sup>. Upper mid-arm muscle area (MAMA) and upper mid-arm fat area (MAFA) were calculated as<sup><xref ref-type="bibr" rid="b14-kjim-14-2-64-10">14</xref>)</sup>,
<disp-formula id="fd1-kjim-14-2-64-10">
<mml:math id="mm1" display='block'>
<mml:semantics>
<mml:mtable>
<mml:mtr>
<mml:mtd>
<mml:mtext>MAMA</mml:mtext>
<mml:mo stretchy='false'>(</mml:mo>
<mml:msup>
<mml:mtext>cm</mml:mtext>
<mml:mn>2</mml:mn></mml:msup>
<mml:mo stretchy='false'>)</mml:mo>
<mml:mo>=</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mo stretchy='false'>(</mml:mo>
<mml:mtext>MAC</mml:mtext>
<mml:mo>&#x02212;</mml:mo>
<mml:mtext>TSF</mml:mtext>
<mml:mo>&#x000B7;</mml:mo>
<mml:mi>&#x003C0;</mml:mi>
<mml:mo stretchy='false'>)</mml:mo></mml:mrow>
<mml:mn>2</mml:mn></mml:msup>
<mml:mo>/</mml:mo>
<mml:mn>4</mml:mn></mml:mtd></mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mtext>MAFA</mml:mtext>
<mml:mo stretchy='false'>(</mml:mo>
<mml:msup>
<mml:mtext>cm</mml:mtext>
<mml:mn>2</mml:mn></mml:msup>
<mml:mo stretchy='false'>)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mtext>upper arm area</mml:mtext>
<mml:mo>&#x02212;</mml:mo>
<mml:mtext>MAMA</mml:mtext></mml:mtd></mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>=</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mo stretchy='false'>(</mml:mo>
<mml:mtext>MAC</mml:mtext>
<mml:mo stretchy='false'>)</mml:mo></mml:mrow>
<mml:mn>2</mml:mn></mml:msup>
<mml:mo>/</mml:mo>
<mml:mn>4</mml:mn>
<mml:mi>&#x003C0;</mml:mi>
<mml:mo>&#x02212;</mml:mo>
<mml:mtext>MAMA</mml:mtext></mml:mtd></mml:mtr></mml:mtable></mml:semantics></mml:math></disp-formula></p>
<p>Using a total-body DEXA scanner (XR-26, MARK II), fat mass, lean soft tissue mass and bone mineral content were measured, and DEXA data and those of MAMA and MAFA measured by anthropometry, were compared between cirrhotic patients and healthy controls. Correlations between fat mass vs. MAFA and lean soft tissue mass vs. MAMA in patients and controls, which had been performed by anthropometry and DEXA, were evaluated using Pearson&#x02019;s correlation coefficient.</p></sec>
<sec>
<title>2) Clinical parameters related to depleted body components</title>
<p>To evaluate the clinical parameters related to depleted body components in cirrhotic patients, the numbers of patients, whose MAFA values were lower than the fifth percentile of controls, were counted and correlations with Child-classification and the severity of ascites were analysed. A p value of less than 0.05 was considered significant.</p></sec></sec></sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>1. Evaluation of the fat component</title>
<p>In cirrhotic patients of both sexes, fat mass and MAFA were lower than in sex-matched controls (p&lt;0.05, <xref ref-type="table" rid="t2-kjim-14-2-64-10">Tables 2</xref>, <xref ref-type="table" rid="t3-kjim-14-2-64-10">3</xref>, <xref ref-type="fig" rid="f1-kjim-14-2-64-10">Figs. 1</xref>, <xref ref-type="fig" rid="f2-kjim-14-2-64-10">2</xref>). The number of cirrhotic patients with measured values below the fifth percentile of normal controls was 21 (31.8&#x00025;) on the basis of MAFA and 15 (40.5&#x00025;) on the basis of fat mass Fat depletion was more severe in Child-class C patients and those with severe ascites (<xref ref-type="fig" rid="f3-kjim-14-2-64-10">Figs. 3</xref>, <xref ref-type="fig" rid="f4-kjim-14-2-64-10">4</xref>).</p></sec>
<sec>
<title>2. Evaluation of the lean soft tissue component</title>
<p>In cirrhotic patients and normal controls, lean soft tissue mass and MAMA were comparable (p&gt;0.05, <xref ref-type="table" rid="t2-kjim-14-2-64-10">Tables 2</xref>, <xref ref-type="table" rid="t3-kjim-14-2-64-10">3</xref>, <xref ref-type="fig" rid="f5-kjim-14-2-64-10">Figs. 5</xref>, <xref ref-type="fig" rid="f6-kjim-14-2-64-10">6</xref>). The number of patients with cirrhosis with measured values below the fifth percentile of normal controls was six (9.1&#x00025;) according to MAMA and 0 (0&#x00025;) according to lean body mass.</p></sec>
<sec>
<title>3. Evaluation of bone mineral content</title>
<p>Bone mineral content in cirrhotic patients and normal controls was comparable (<xref ref-type="fig" rid="f7-kjim-14-2-64-10">Fig. 7</xref>).</p></sec>
<sec>
<title>4. Correlations between DEXA values and anthropometry</title>
<p>In 37 cirrhotic patients and 39 controls, on which anthropometry and DEXA had been performed, MAFA and fat mass showed close correlation (r &#x0003D; 0.85, p&lt;0.01, <xref ref-type="fig" rid="f8-kjim-14-2-64-10">Fig. 8</xref>), whereas for MAMA and lean soft tissue mass, correlation was poor (r &#x0003D; 0.32, p&gt;0.05, <xref ref-type="fig" rid="f9-kjim-14-2-64-10">Fig. 9</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>This study, which investigated body compositional changes in patients with cirrhosis, demonstrated that there was a reduction in one or more body compositions in more than 40&#x00025; of patients. It was very striking that the majority of patients showed predominant fat depletion despite maintaining their lean soft tissue mass and bone mineral content. Changes in body composition measured by anthropometry revealed as MAMA being impaired more severely than MAFA in males, whereas the opposite was true in females<sup><xref ref-type="bibr" rid="b13-kjim-14-2-64-10">13</xref>,<xref ref-type="bibr" rid="b15-kjim-14-2-64-10">15</xref>)</sup>. Crawford et al. reported that the majority of patients, who maintained body cell mass but had reduced body fat, were Child&#x02019;s class A<sup><xref ref-type="bibr" rid="b10-kjim-14-2-64-10">10</xref>)</sup>. It is well known that body adipose deposits is the most important fuel source for patients with insufficient calorie intake<sup><xref ref-type="bibr" rid="b16-kjim-14-2-64-10">16</xref>,<xref ref-type="bibr" rid="b17-kjim-14-2-64-10">17</xref>)</sup>. A moderate nutritional disturbance affects only the fat component; in patients with liver cirrhosis, intestinal fat absorption may be abnormal<sup><xref ref-type="bibr" rid="b18-kjim-14-2-64-10">18</xref>)</sup>.</p>
<p>There are some methodologic problems in the evaluation of body cell mass in patients with liver cirrhosis. For example, the usefulness of DEXA for determining body cell mass in liver cirrhosis is controversial<sup><xref ref-type="bibr" rid="b19-kjim-14-2-64-10">19</xref>,<xref ref-type="bibr" rid="b20-kjim-14-2-64-10">20</xref>)</sup>. Because of extracellular water retention, lean soft tissue mass may not represent body cell mass, even if there was no evidence of overt ascites or fluid retention<sup><xref ref-type="bibr" rid="b21-kjim-14-2-64-10">21</xref>)</sup>. One study<sup><xref ref-type="bibr" rid="b9-kjim-14-2-64-10">9</xref>)</sup> compared different methods for assessment of body composition in patients with liver cirrhosis, and found that in Child-class C patients, DEXA gave higher values for lean soft tissue mass than did neutron activation analysis. Anthropometry, furthermore, did not accurately reflect changes in fat-free mass. As shown by Bhatla et al.<sup><xref ref-type="bibr" rid="b22-kjim-14-2-64-10">22</xref>)</sup> in patients on continuous ambulatory peritoneal dialysis, DEXA included excess body water in lean soft tissue mass and, where there is overhydration, may mask malnutrition. Some authors, however, have recommended DEXA for body composition analysis in stable dialysis patients<sup><xref ref-type="bibr" rid="b23-kjim-14-2-64-10">23</xref>,<xref ref-type="bibr" rid="b24-kjim-14-2-64-10">24</xref>)</sup> or those with liver cirrhosis<sup><xref ref-type="bibr" rid="b25-kjim-14-2-64-10">25</xref>)</sup> after ascites has been controlled. Prijatmoko et al<sup><xref ref-type="bibr" rid="b9-kjim-14-2-64-10">9</xref>)</sup>. showed that DEXA can detect advanced protein depletion in patients with liver cirrhosis. The methods used in this study, DEXA and anthropometry, tend to overestimate fat-free mass. Changes in the hydration status of soft tissues can alter attenuation of the dual energy source, resulting in incorrect calculation of the amount of lean tissue.</p>
<p>With regard to bone mineral content in cirrhosis, the findings differ. Prijatmoko et al<sup><xref ref-type="bibr" rid="b9-kjim-14-2-64-10">9</xref>)</sup>. showed that this was maintained, but other investigaors found that it was reduced<sup><xref ref-type="bibr" rid="b26-kjim-14-2-64-10">26</xref>,<xref ref-type="bibr" rid="b27-kjim-14-2-64-10">27</xref>)</sup>.</p>
<p>MAMA and MAFA measured by anthropometry represent muscle mass and fat and, to validate this system for fat mass measurement, we compared MAFA with fat mass. As observed previously<sup><xref ref-type="bibr" rid="b9-kjim-14-2-64-10">9</xref>,<xref ref-type="bibr" rid="b28-kjim-14-2-64-10">28</xref>,<xref ref-type="bibr" rid="b29-kjim-14-2-64-10">29</xref>)</sup>, MAFA values correlated closely with those of fat mass, but those of MAMA correlated poorly with lean soft tissue mass.</p>
<p>The nutritional status of cirrhotic patients with severe ascites and those who were Child-class C was more impaired, as reported by others<sup><xref ref-type="bibr" rid="b5-kjim-14-2-64-10">5</xref>,<xref ref-type="bibr" rid="b13-kjim-14-2-64-10">13</xref>,<xref ref-type="bibr" rid="b14-kjim-14-2-64-10">14</xref>,<xref ref-type="bibr" rid="b30-kjim-14-2-64-10">30</xref>)</sup>. Closer nutritional evaluation of patients with severe ascites and/or severe hepatic dysfuction is therefore required.</p>
<p>In summary, we have shown that, in more than 40&#x00025; of patients with liver cirrhosis, there were reductions in the amount of stored fat, and that these changes were more severe in Child-class C patients and those with severe ascites. Fat mass estimated according to MAFA correlated closely with fat mass measured by DEXA. In view of its easy bedside use, MAFA is recommeded for the measurement of fat mass in cirrhotic patients.</p></sec></body>
<back>
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<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjim-14-2-64-10" position="float">
<label>Fig. 1.</label>
<caption>
<p>Comparison of mid-arm fat area (MAFA) measured by anthropometry between 66 cirrhotic patients and 94 controls. Raw values and means were noted. LC, liver cirrhosis.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f1.tif"/></fig>
<fig id="f2-kjim-14-2-64-10" position="float">
<label>Fig. 2.</label>
<caption>
<p>Comparison of fat mass measured by dual energy x-ray absorptiometry between 37 cirrhotic patients and 39 controls. Raw values and means were noted. LC, liver cirrhosis.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f2.tif"/></fig>
<fig id="f3-kjim-14-2-64-10" position="float">
<label>Fig. 3.</label>
<caption>
<p>The mid-arm fat area (mean&#x000B1;SD) according to Child-class in 66 cirrhotic patients.</p>
<p>&#x0002A;, p&lt; 0.05 vs. Child-class A.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f3.tif"/></fig>
<fig id="f4-kjim-14-2-64-10" position="float">
<label>Fig. 4.</label>
<caption>
<p>The mid-arm fat area (mean&#x000B1;SD) according to the degree of ascites in 66 cirrhotic patients. &#x0002A;, p&lt; 0.05 vs. mild or none, and moderate ascites.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f4.tif"/></fig>
<fig id="f5-kjim-14-2-64-10" position="float">
<label>Fig. 5.</label>
<caption>
<p>Comparison of mid-arm muscle area measured by anthropometry between 66 cirrhotic patients and 94 controls. Raw values and means were noted. LC, liver cirrhosis.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f5.tif"/></fig>
<fig id="f6-kjim-14-2-64-10" position="float">
<label>Fig. 6.</label>
<caption>
<p>Comparison of lean body mass measured by dual energy x-ray absorptiometry between 37 cirrhotic patients and 39 controls. Raw values and means were noted. LC, liver cirrhosis.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f6.tif"/></fig>
<fig id="f7-kjim-14-2-64-10" position="float">
<label>Fig. 7.</label>
<caption>
<p>Comparison of bone mineral content measured by dual energy x-ray absorptiometry between 37 cirrhotic patients and 39 controls. Raw values and means were noted. LC, liver cirrhosis.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f7.tif"/></fig>
<fig id="f8-kjim-14-2-64-10" position="float">
<label>Fig. 8.</label>
<caption>
<p>Correlation between fat mass (DEXA) and mid-arm fat area (anthropometry) in 37 cirrhotic patients and 39 controls, on which had been performed anthropometry and DEXA. MAFA, mid-arm fat area.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f8.tif"/></fig>
<fig id="f9-kjim-14-2-64-10" position="float">
<label>Fig. 9.</label>
<caption>
<p>Correlation between lean body mass (DEXA) and mid-arm muscle area (anthropometry) in 37 cirrhotic patients and 39 controls, on which had been performed anthropometry and DEXA. MAMA, mid-arm muscle area.</p></caption>
<graphic xlink:href="kjim-14-2-64-10f9.tif"/></fig>
<table-wrap id="t1-kjim-14-2-64-10" position="float">
<label>Table 1.</label>
<caption>
<p>Characteristics of study subjects</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="3"/>
<th colspan="2" align="center" valign="middle">Liver Cirrhosis
<hr/></th>
<th colspan="2" align="center" valign="middle">Control
<hr/></th></tr>
<tr>
<th colspan="2" align="center" valign="middle">Anthropometry</th>
<th colspan="2" align="center" valign="middle">Anthropometry</th></tr>
<tr>
<th align="center" valign="middle">DEXA(&#x0002B;)<break/>(n&#x0003D;37)</th>
<th align="center" valign="middle">DEXA(&#x02212;)<break/>(n&#x0003D;29)</th>
<th align="center" valign="middle">DEXA(&#x0002B;)<break/>(n&#x0003D;39)</th>
<th align="center" valign="middle">DEXA(&#x02212;)<break/>(n&#x0003D;55)</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Male: Female</td>
<td align="left" valign="top">32: 5</td>
<td align="left" valign="top">26: 3</td>
<td align="left" valign="top">14: 25</td>
<td align="left" valign="top">35: 20</td></tr>
<tr>
<td align="left" valign="top">Mean age (yr)</td>
<td align="left" valign="top">50.6</td>
<td align="left" valign="top">53.3</td>
<td align="left" valign="top">50.2</td>
<td align="left" valign="top">54.2</td></tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td align="left" valign="top">23.2&#x000B1;2.5<xref ref-type="table-fn" rid="tfn2-kjim-14-2-64-10">&#x0002A;</xref></td>
<td align="left" valign="top">22.5&#x000B1;3.4</td>
<td align="left" valign="top">23.7&#x000B1;2.4</td>
<td align="left" valign="top">22.7&#x000B1;2.7</td></tr>
<tr>
<td align="left" valign="top">Body weight (kg)</td>
<td align="left" valign="top">63.9&#x000B1;8.8<xref ref-type="table-fn" rid="tfn2-kjim-14-2-64-10">&#x0002A;</xref></td>
<td align="left" valign="top">61.6&#x000B1;11.8</td>
<td align="left" valign="top">60.4&#x000B1;8.6</td>
<td align="left" valign="top">56.1&#x000B1;7.7</td></tr>
<tr>
<td align="left" valign="top">Child-class A</td>
<td align="left" valign="top">13(35.1)<xref ref-type="table-fn" rid="tfn3-kjim-14-2-64-10">&#x0002A;&#x0002A;</xref></td>
<td align="left" valign="top">12(41.4)</td>
<td align="left" valign="top"/>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02003;&#x02003;&#x000A0;&#x000A0;B</td>
<td align="left" valign="top">13(35.1)</td>
<td align="left" valign="top">11(37.9)</td>
<td align="left" valign="top"/>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02003;&#x02003;&#x000A0;&#x000A0;C</td>
<td align="left" valign="top">11(29.8)</td>
<td align="left" valign="top">6(20.7)</td>
<td align="left" valign="top"/>
<td align="left" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-kjim-14-2-64-10">
<p>LC, liver cirrhosis; DEXA, dual energy x-ray absorptiometry; BMI, body mass index</p></fn><fn id="tfn2-kjim-14-2-64-10">
<label>&#x0002A;</label>
<p>mean&#x000B1;standard deviation,</p></fn><fn id="tfn3-kjim-14-2-64-10">
<label>&#x0002A;&#x0002A;</label>
<p>number of patients (percent)</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t2-kjim-14-2-64-10" position="float">
<label>Table 2.</label>
<caption>
<p>Anthropometric data in cirrhotic patients and controls</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2"/>
<th colspan="2" align="center" valign="middle">Male
<hr/></th>
<th colspan="2" align="center" valign="middle">Female
<hr/></th></tr>
<tr>
<th align="center" valign="middle">Liver cirrhosis<break/>(n &#x0003D; 58)</th>
<th align="center" valign="middle">Control<break/>(n &#x0003D; 49)</th>
<th align="center" valign="middle">Liver cirrhosis<break/>(n &#x0003D; 8)</th>
<th align="center" valign="middle">Control<break/>(n &#x0003D; 45)</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">MAMA(cm<sup>2</sup>)</td>
<td align="right" valign="top">43.8&#x000B1;9.7</td>
<td align="right" valign="top">45.9&#x000B1;6.6</td>
<td align="right" valign="top">32.5&#x000B1;7.4</td>
<td align="right" valign="top">32.9&#x000B1;5.6</td></tr>
<tr>
<td align="left" valign="top">MAFA(cm<sup>2</sup>)</td>
<td align="right" valign="top">11.1&#x000B1;7.6<xref ref-type="table-fn" rid="tfn5-kjim-14-2-64-10">&#x0002A;</xref></td>
<td align="right" valign="top">17.9&#x000B1;7.4</td>
<td align="right" valign="top">13.9&#x000B1;7.3<xref ref-type="table-fn" rid="tfn5-kjim-14-2-64-10">&#x0002A;</xref></td>
<td align="right" valign="top">23.9&#x000B1;7.9</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-kjim-14-2-64-10">
<p>MAMA, mid-arm muscle area; MAFA, mid-arm fat area Data are given as mean&#x000B1;standard deviation.</p></fn><fn id="tfn5-kjim-14-2-64-10">
<label>&#x0002A;,</label>
<p>p &lt; 0.05 vs. control</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t3-kjim-14-2-64-10" position="float">
<label>Table 3.</label>
<caption>
<p>Dual-energy X-ray absorptiometry data in patients with cirrhosis and controls</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2"/>
<th colspan="2" align="center" valign="middle">Male
<hr/></th>
<th colspan="2" align="center" valign="middle">Female
<hr/></th></tr>
<tr>
<th align="center" valign="middle">Liver cirrhosis<break/>(n &#x0003D; 32)</th>
<th align="center" valign="middle">Control<break/>(n &#x0003D; 14)</th>
<th align="center" valign="middle">Liver cirrhosis<break/>(n &#x0003D; 5)</th>
<th align="center" valign="middle">Control<break/>(n &#x0003D; 25)</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Fat mass (kg)</td>
<td align="left" valign="top">15.4&#x000B1;5.6<xref ref-type="table-fn" rid="tfn7-kjim-14-2-64-10">&#x0002A;</xref></td>
<td align="left" valign="top">21.4&#x000B1;4.1</td>
<td align="left" valign="top">17.2&#x000B1;5.9<xref ref-type="table-fn" rid="tfn7-kjim-14-2-64-10">&#x0002A;</xref></td>
<td align="left" valign="top">23.9&#x000B1;4.8</td></tr>
<tr>
<td align="left" valign="top">Lean soft tissue mass (kg)</td>
<td align="left" valign="top">53.9 &#x000B1;7.5</td>
<td align="left" valign="top">54.9&#x000B1;12.8</td>
<td align="left" valign="top">35.1&#x000B1;13.4</td>
<td align="left" valign="top">43.1&#x000B1;13.4</td></tr>
<tr>
<td align="left" valign="top">Bone mineral content (kg)</td>
<td align="left" valign="top">2.5&#x000B1;0.4</td>
<td align="left" valign="top">2.4&#x000B1;0.3</td>
<td align="left" valign="top">2.2&#x000B1;0.7</td>
<td align="left" valign="top">2.2&#x000B1;0.5</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn6-kjim-14-2-64-10">
<p>Data are given as mean&#x000B1;standard deviation.</p></fn><fn id="tfn7-kjim-14-2-64-10">
<label>&#x0002A;,</label>
<p>p &lt; 0.05 vs. control</p></fn></table-wrap-foot></table-wrap></sec></back></article>
