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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Evolution of the percentage of fat mass&#44; estimated by DXA&#44; over one year in the 18 HD patients&#46; The graph below shows the difference of this change &#40;the increase in BFM is represented above the <span class="elsevierStyleItalic">y</span>-axis and the decrease&#44; below&#41;&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Cardiovascular &#40;CV&#41; disease is the leading cause of morbidity and mortality in patients with kidney disease&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">1</span></a> Obesity is closely associated to a high risk of CV disease&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">2</span></a> CV disease is linked with chronic low-intensity inflammation&#44; as there is an increase in circulating levels of proinflammatory cytokines and acute-phase proteins&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">Leptin is a modulator of the immune-response that causes stimulation of proinflammatory cytokines the production and produces a significant increase in sympathetic activity&#46;<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">3&#44;4</span></a> Adiponectin is the adipoquine of highest expression in the adipocyte&#46;<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">5&#44;6</span></a> Plasma concentrations of Adiponectin are decreased in overweight and obese individuals&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">7</span></a> Some studies conducted in different populations have revealed that low adiponectin concentrations can independently predict the future development of insulin resistance&#44; and other investigations have shown that adiponectin has anti-atherogenic and anti-inflammatory properties that can negatively regulate the atherogenic process&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">8</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Fibroblast growth factor 21 &#40;FGF-21&#41; stimulates the uptake of glucose by the adipocyte independently of insulin&#44; suppresses the production of hepatic glucose and is involved in regulating body fat&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">9</span></a> In addition&#44; it is directly correlated with body mass index &#40;BMI&#41;&#44; levels of leptin&#44; triglycerides&#44; insulin&#44; and the HOMA-IR index&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">10</span></a> FGF-21 is metabolised mainly by the kidneys&#44; and therefore a decrease in renal function might cause an increase in its plasma levels&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">11</span></a> Also&#44; chronic kidney failure is a state of soluble &#946;-Klotho deficiency &#40;co-receptor of FGF-21&#41;&#44; which may theoretically lead to a possible state of resistance&#44; as is the case with FGF-23&#44;<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">12</span></a> the clinical impact of which has yet to be studied&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The increase in CV mortality in patients on dialysis cannot be fully explained by &#8220;classic&#8221; risk factors&#44; and so in recent years&#44; numerous &#8220;non-classic&#8221; factors have emerged&#46; Abdominal fat and&#44; above all&#44; the gain of abdominal fat over time&#44; has been established as a significant CV risk factor&#44; especially in uraemic patients&#46;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">13</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">Dual-energy X-ray absorptiometry &#40;DXA&#41;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">14</span></a> is a reference technique able to assess body composition as in 3 compartments&#58; body fat mass &#40;BFM&#41;&#44; bone mineral density &#40;BMD&#41; and lean body mass &#40;LBM&#41;&#46; Whole-body scans allow for regional determinations of BFM&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">15</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">The limited information available on body composition in uraemic patients and its effects on CV mortality encouraged us to carry out this pilot study&#46; Our main objective has been not only to verify whether there is an abdominal fat gain in haemodialysis &#40;HD&#41; patients&#44; but also to study a possible relationships with the changes in plasma levels of adipocytokines&#44; which could be related to the metabolic disorders induced by adipocyte activity in uraemia&#46; As a secondary objective&#44; we tried to validate the data obtained by bioelectrical impedance analysis &#40;BIA&#41; with those obtained by DXA &#40;gold standard for determining body composition and poorly accessible technique in daily clinical practice&#41;&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Patients and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Study design</span><p id="par0035" class="elsevierStylePara elsevierViewall">A prospective&#44; one-year study was conducted in which 18 patients undergoing HD were included&#46; The population was selected among patients treated in the Nephrology Department of Hospital Universitario La Paz&#46; The inclusion criteria were as follows&#58; patients over 18 years of age&#59; on renal replacement therapy for a period of more than 3 months and less than 5 years&#44; with no deterioration in cognitive abilities and who will sign the informed consent&#46; The exclusion criteria were&#58; patients with active cancer&#44; or limited life expectancy&#46; Advanced age was not an exclusion criterion&#46; Demographic data and data on renal replacement therapy&#44; as well as comorbidities or intercurrent processes&#44; were recorded&#46; The recruitment period for patients lasted from May 2011 to March 2013&#46; An informed consent template was designed and it was signed by each participant&#46; This study was approved by the Independent Ethics Committee of Hospital Universitario La Paz&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The measurements of anthropometric and body composition&#44; and the collection of blood samples&#44; were obtained under fasting conditions at baseline &#40;between 2011 and 2013&#41; and 12 months later&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The biochemical analysis was performed in the Clinical Analysis Department of Hospital Universitario La Paz&#46; In both samples the following parameters were measured&#58; glycaemia&#44; lipid profile &#40;cholesterol and triglycerides&#41;&#44; albumin&#44; insulin&#44; HOMA-IR index&#44; free fatty acids&#44; C-reactive protein &#40;CRP&#41;&#44; leptin&#44; adiponectin&#44; interleukin-6 &#40;IL-6&#41;&#44; tumour necrosis factor alpha &#40;TNF-&#945;&#41; and FGF-21&#46; All the laboratory tests were done under fasting conditions&#58; pre-dialysis during the morning shift in HD patients&#44; coinciding with peritoneal kinetics in peritoneal dialysis &#40;PD&#41; patients&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Subsequently&#44; we performed a second part of the study&#59; a control group of 17 patients on PD&#44; from the Nephrology Department&#44; who fulfilled the same criteria as the HD patients were compared with the 29 patients on HD &#40;cross-sectional baseline&#41;&#46; Thus&#44; this study compares data on the body composition of both groups of patients to perform concordance studies among methods for analysing body composition&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Anthropometry and body composition</span><p id="par0055" class="elsevierStylePara elsevierViewall">The anthropometric measurements of the patients were obtained in accordance with the standard technique and the current international recommendations &#40;WHO&#44; 1976&#41;&#46; These measurements were obtained in subjects barefoot and in their underwear&#46; The measurements were always taken pre-dialysis in HD patients&#44; and with the abdomen empty in PD patients&#46; A body-composition analyser &#40;TANITA BC-420MA&#44; Biol&#243;gica Tecnolog&#237;a M&#233;dica S&#46;L&#46;&#44; Barcelona&#44; Spain&#41; was used to measure weight&#46; Height was measured by a millimetre precision rod &#40;range&#58; 80&#8211;200<span class="elsevierStyleHsp" style=""></span>cm&#41;&#46; To measure mid-upper arm muscle area &#40;MUAMA&#41;&#44; an inextensible millimetre precision metric tape &#40;0&#46;1<span class="elsevierStyleHsp" style=""></span>cm&#41; was used&#46; Triceps skin fold &#40;TSF&#41; was obtained by means of a Holtain skinfold calliper with a range of 20<span class="elsevierStyleHsp" style=""></span>cm and a sensitivity of 0&#46;2<span class="elsevierStyleHsp" style=""></span>mm&#46; BMI &#40;weight &#91;kg&#93;&#47;height &#91;m<span class="elsevierStyleSup">2</span>&#93;&#41; was calculated from the anthropometric weight and height measurements&#46; Waist circumference &#40;WC&#41; was measured in cm&#44; using a millimetre precision tape measure with the waist in a horizontal position &#40;narrower torso level&#44; midline between the iliac crest and the last rib&#41;&#46; This was measured at the end of a normal exhalation&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Body composition was quantified using both BIA and DXA&#46; To determine body composition by BIA&#44; a four-pole vector device &#40;50<span class="elsevierStyleHsp" style=""></span>kHz&#41;&#44; with an intensity of 0&#46;8<span class="elsevierStyleHsp" style=""></span>mA&#44; was used &#40;model BIA 101 by Akern Systems&#44; Florence&#44; Italy&#41;&#46; The measurement was performed according to the criteria established by the National Institutes of Health Technology Assessment Conference Statement&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">16</span></a> For patients who presented with vascular access for dialysis&#44; all measurements were performed on the contralateral side&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">17</span></a> The BCM &#40;Body Composition Monitor&#44; Fresenius Medical Care&#44; Germany&#41; was used as multifrequency BIA&#44; with a frequency range between 5 and 1000<span class="elsevierStyleHsp" style=""></span>kHz&#46; DXA was performed in the Nuclear Medicine Department of Hospital Universitario La Paz using the region of interest &#40;ROI&#41; recommended by the bone radiodensitometer manufacturer with enCore LUNAR 43616 ES software &#40;GE Healthcare&#44; Buckinghamshire&#44; United Kingdom&#41; for the regional measurements of BFM &#40;trunk&#44; gynoid and android&#41;&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Laboratory procedures</span><p id="par0065" class="elsevierStylePara elsevierViewall">The blood samples used to determine FGF-21 were collected in heparin-lithium plasma tubes and centrifuged at 3500<span class="elsevierStyleHsp" style=""></span>rpm for 10<span class="elsevierStyleHsp" style=""></span>min prior to storage at &#8722;40<span class="elsevierStyleHsp" style=""></span>&#176;C or at &#8722;80<span class="elsevierStyleHsp" style=""></span>&#176;C&#44; until analysis&#46; FGF-21 was quantified using an enzyme-linked immunosorbent sandwich assay &#40;ELISA&#41;&#44; according to the manufacturer&#39;s instructions &#40;Merck-Millipore&#44; Darmstadt&#44; Germany&#41;&#46; The assay sensitivity was 1&#46;7<span class="elsevierStyleHsp" style=""></span>pg&#47;ml&#44; while the intra- and inter-assay precisions were 5&#46;7&#37; and 6&#46;9&#37;&#44; respectively&#46; The expected normal range was less than 200<span class="elsevierStyleHsp" style=""></span>pg&#47;ml&#46; Leptin&#44; IL-6&#44; TNF-&#945; and adiponectin were quantified by multiplex immunoassay &#40;Milliplex&#174;&#44; Merck-Millipore&#44; Darmstadt&#44; Germany&#41;&#46; IL-6 sensitivity was 1&#46;4<span class="elsevierStyleHsp" style=""></span>pg&#47;ml&#44; while the intra- and inter-assay precisions were 7&#37; and 13&#37;&#44; respectively&#46; Leptin sensitivity was 7&#46;3<span class="elsevierStyleHsp" style=""></span>pg&#47;ml&#44; while the intra- and inter-assay precisions were 5&#37; and 11&#37;&#44; respectively&#46; TNF-&#945; sensitivity was 0&#46;4<span class="elsevierStyleHsp" style=""></span>pg&#47;ml&#44; while the intra- and inter-assay precisions were 8&#37; and 7&#37;&#44; respectively&#46; Free fatty acids were measured based on an in vitro enzymatic colorimetric method &#40;A25&#44; Biosystems&#44; Barcelona&#44; Spain&#41;&#46; The expected values were 2&#46;8&#8211;16&#46;9<span class="elsevierStyleHsp" style=""></span>mg&#47;dl for men and 2&#46;8&#8211;12&#46;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl for women&#46; Precision was 1&#46;5&#37;&#46; Insulin was measured by direct chemiluminescence-based immunoassay &#40;Liaison&#44; DiaSorin&#44; Saluggia&#44; Italy&#41;&#46; Insulin sensitivity was 0&#46;5<span class="elsevierStyleHsp" style=""></span>&#956;IU&#47;ml&#44; while the intra- and inter-assay precisions were 3&#46;9&#37; and 4&#46;3&#37;&#44; respectively&#46; The HOMA-IR index was calculated for non-diabetic patients according to the Matthews formula<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">18</span></a>&#58; HOMA-IR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>glucose &#40;mmol&#47;l&#41;<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>insulin &#40;&#956;U&#47;ml&#41;&#47;22&#46;5&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Statistical analysis</span><p id="par0070" class="elsevierStylePara elsevierViewall">The data are expressed as the mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>the standard deviation &#40;SD&#41; for continuous variables of normal distribution or as the median and the 25th and 75th percentiles for non-parametric distribution variables&#44; or as absolute frequencies and percentages for qualitative variables&#46; Considering the baseline analysis of the data&#44; qualitative variables among 2 or more groups were compared by using a chi-squared test or Fisher&#39;s exact test&#44; depending on the data distribution&#46; Quantitative variables between 2 groups were compared by using the Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span> test or a Student&#39;s <span class="elsevierStyleItalic">t</span>-test&#44; depending on the data distribution&#46; Levene&#39;s test was used to compare response variability by group&#46; Spearman&#39;s rank correlation coefficient was used to analyse the baseline linear association of 2 continuous variables&#46; To evaluate the degree of agreement between 2 variables that evaluated the same concept&#44; Pearson&#39;s bivariate correlations were used&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">For the longitudinal analysis of the laboratory parameters studied based on 2 time points &#40;baseline and yearly&#41;&#44; a stratified analysis by modality and incidence of the response variable was performed first&#46; The effect of the method&#44; the incidence or prevalence and the interaction between them was estimated&#44; and the adjustment of the model was considered by using generalised estimating equations &#40;GEE&#41; for longitudinal data&#46; In order to analyse any association among the different laboratory parameters studied and the independent variables analysed &#40;anthropometric and body-composition parameters estimated by BIA and DXA&#41;&#44; the effect was estimated by using the Score Statistics For Type 3 GEE Analysis&#46; Spearman&#39;s correlations were used to analyse the association of stratified variables&#44; for which the sample size was small&#46; The same study was performed for the analysis of the increase &#40;delta&#41; or the difference between the final and baseline values&#44; although in this case the model was adjusted with a general linear model&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">All statistical tests were considered two-sided&#44; while significant values were considered those where <span class="elsevierStyleItalic">p</span> was less than 0&#46;05&#46; The data were analysed using SAS 9&#46;3 &#40;SAS Institute Inc&#46;&#44; Cary&#44; NC&#44; USA&#41;&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Haemodialysis versus peritoneal dialysis</span><p id="par0085" class="elsevierStylePara elsevierViewall">The main clinical&#44; laboratory and anthropometric characteristics of both groups are presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; HD patients had a higher TSF and a lower MUAMA than PD patients&#46; In terms of lab parameters&#44; there were no differences between the groups&#44; except for higher albumin and lower cholesterol in HD patients&#44; despite the fact that these patients had been on dialysis for more time than PD patients&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">HD patients had a lower phase angle and higher resistance than PD patients&#46; In addition&#44; they had a higher percentage of BFM&#44; and less muscle mass &#40;MM&#41; and LBM&#46; HD patients showed a lower percent of body-water&#58; the differences in total body water &#40;TBW&#41;&#44; extracellular fluid &#40;ECF&#41; and intracellular fluid &#40;ICF&#41; were statistically significant&#46; Regarding DXA parameters&#44; HD patients had a higher percentage of fat in the trunk as compared with PD patients&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Longitudinal study in haemodialysis</span><p id="par0095" class="elsevierStylePara elsevierViewall">In the longitudinal study performed in 18 HD patients&#44; there was an increase in mid-upper arm circumference &#40;MUAC&#41; and MUAMA &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; No significant differences were found in the laboratory parameters&#44; except for cholesterol&#46; An increase in phase angle and ICF&#44; as well as the ratio between the percentage of android&#47;gynoid &#40;A&#47;G&#41; distribution fat measured by DXA &#40;cardiovascular risk indicator&#41;&#44; was observed&#46; There was also a decrease in the percentages of MM and ECF&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">Given that gender affects body composition&#44; <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the same data&#44; but separated by gender&#46; In men&#44; there was an increase in MUAMA per year&#46; No statistically significant changes were seen in body composition as estimated by DXA&#44; except for the increase in the A&#47;G fat ratio&#46; In women&#44; no significant differences were found in the anthropometric&#44; laboratory or body-composition parameters measured by BIA&#46; Although there was a trend towards an increase in fat in all the parameters studied &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#44; only the increase in the A&#47;G fat ratio was statistically significant&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">Baseline anthropometric or laboratory parameters in men and women were not significantly different&#44; except for albumin and adiponectin values &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46; Significant differences were found in almost all the body-composition parameters measured by BIA and in most measured by DXA&#46; Contrary to what it was expected&#44; men had a higher percentage of BFM as compared with women at baseline&#59; this difference was no longer present after one year of follow up because of a trend towards a gain in BFM &#40;especially in women&#41;&#44; &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#41;&#46; DEXA showed that women had a statistically significant increase in the percentage of BFM at all levels &#40;trunk&#44; android and gynoid&#41;&#59; however the A&#47;G ratio was higher in men and it continued to increase during the year of follow-up &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#41;&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall">Men and women showed no significant differences in baseline leptin and adiponectin values&#44; nor at one year of follow up&#46; This is despite the trend towards an increase in leptin in women and in adiponectin in men&#46; A statistically significant relationship was found between leptin and adiponectin concentrations&#44; with both the percentage of fat mass measured by BIA and abdominal fat estimated by DXA &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46; In the models estimated&#44; a direct relationship was found between the percent of BFM &#40;measured by BIA or DXA&#41; and leptin levels&#44; as well as an inverse relationship between the percent of BFM and adiponectin levels&#46; In both cases the relationships were statistically significant&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">In addition&#44; increment in these adipocytokines correlated with the percentage change in BFM &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46; There was a statistically significant correlation between the baseline A&#47;G fat ratio and leptin levels&#44; as well as an inverse relationship &#8211; also statistically significant &#8211; between the baseline A&#47;G fat ratio and adiponectin levels corrected for BMI&#46; This later correlation was also observed after a year of follow-up&#46; However such a correlation was not observed with leptin&#46; There were no significant differences in the longitudinal study in serum FGF-21 concentrations in the overall population or in the subgroups by gender&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0120" class="elsevierStylePara elsevierViewall">Regarding the second objective of our study&#44; a significant correlation was found between the fat-mass parameters quantified by BIA and DXA &#40;<a class="elsevierStyleCrossRef" href="#tbl0030">Table 6</a>&#41;&#44; thus indicating a good concordance between both methods of body-composition measurement&#46;</p><elsevierMultimedia ident="tbl0030"></elsevierMultimedia></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0125" class="elsevierStylePara elsevierViewall">The results of the present study show that fat gain occurs in patients on HD over time&#44; even during limited follow-up periods&#44; such as one year&#46; This gain is clearly of abdominal distribution&#44; which increases CV risk associated with the time on dialysis&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">We were also able to verify that the changes in body-composition parameters &#40;BFM gains or losses&#41; during the follow-up were correlated with the changes in the adipocytokine concentrations analysed in these patients&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">There is only one study that has analysed changes in body composition in HD patients using DXA&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">19</span></a> It was performed in 72 Japanese HD&#44; patients who underwent DXA at baseline and after one year&#44; and in whom a mean increase of 118<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>26<span class="elsevierStyleHsp" style=""></span>g&#47;month of fat mass was observed&#46; Unlike our study&#44; they did not find differences by gender&#44; and they described a negative correlation with baseline albumin and with basal BFM&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">According to the studies by Vague<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">20</span></a> on the distribution patterns of BFM and their association with metabolic disorders&#44; the android&#44; or predominantly abdominal&#44; distribution of body fat has a greater clinical significance&#44; given its association with an increase in CV risk&#46; The proportion of A&#47;G pelvic fat is the ratio between the percentage of android and gynoid fat&#46; Excess abdominal fat &#40;android&#41; is associated with several CV risk factors&#46;<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">21</span></a> Measuring the A&#47;G ratio by DXA is a simple and practical tool for assessing the distribution of pelvic fat&#46; This relationship may play a role in assessing CV risk in overweight patients&#46;<a class="elsevierStyleCrossRefs" href="#bib0240"><span class="elsevierStyleSup">15&#44;22</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">The uraemic medium contributes to the retention of adipocytokines&#44; systemic inflammation&#44; oxidative stress and insulin resistance&#46;<a class="elsevierStyleCrossRefs" href="#bib0280"><span class="elsevierStyleSup">23&#44;24</span></a> Experimental data indicate that uraemia reduces lipogenesis and increased lipolysis&#44; which may result in the redistribution of body fat&#46; Our results show a statistically significant increase in plasma levels of leptin and a decrease in plasma levels of adiponectin&#44; even after adjusting their levels for BMI in HD patients&#46; It should be noticed that the elevated adiponectin levels&#44; which according to some studies&#44; are related to an increase in mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">25</span></a> In a study by Rhee et al&#46; in 501 patients on HD&#44; it was demonstrated that adiponectin levels greater than 30<span class="elsevierStyleHsp" style=""></span>mcg&#47;ml were associated with a 3-fold increase in the risk of all-cause mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">26</span></a></p><p id="par0150" class="elsevierStylePara elsevierViewall">A secondary objective of our study was to validate the data obtained by BIA &#40;a technique commonly used in clinical practice&#41; with those obtained by DXA &#40;gold standard for the study of body composition&#41;&#46; Our data indicate the existence of a strong correlation between the body-composition parameters &#40;percentage of fat mass&#41; obtained from both techniques&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">BIA is used to study the nutritional and hydration status of HD patients&#44; which helps to adjust the ultrafiltration volume and the MM or BFM are determined&#46; In recent years&#44; LBM and change in LBM have been related with the survival rate of HD patients&#46;<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">27</span></a> The relationship between phase angle measured by BIA and survival has been described in the literature&#44; but it is not clear whether this relationship is linked to nutritional status&#46; Some authors have shown that patients with the smallest phase angles have a higher mortality regardless of other factors&#46;<a class="elsevierStyleCrossRefs" href="#bib0305"><span class="elsevierStyleSup">28&#44;29</span></a> According to the study by Di Gioia&#44;<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">30</span></a> an angle greater than 4&#46;85&#176; in HD seems to be an indicator of a good prognosis&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">DXA<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">15</span></a> is a technique that allows the measurement of for body-fat content via the emission of low doses of radiation&#44; based on the attenuation difference of 2 energy levels for bone&#44; fat and soft tissues&#46; It is a reference technique&#44; since whole-body scans allow regional measurements of BFM&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">16</span></a> A software associated with the equipment allows to select a region to be studied by placing the ROI&#46; As a technique for studying body composition&#44; DXA is useful for estimating trunk and abdominal fat&#44; but it does not allow for a precise assessment of subcutaneous and intra-abdominal visceral and perivisceral fat compartments&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">There are few published studies comparing BIA and DXA in dialysis patients&#46; In 1993&#44; Formica et al&#46;<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">31</span></a> performed the first study with 42 dialysis patients to formulate equations to estimate LBM and BFM using BIA&#46; Another study by Donadio compared the concordance among different measurements of body composition using BIA and DXA in 27 Italian patients on HD&#46;<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">32</span></a> By contrast&#44; Abrahamsen<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">33</span></a> found differences between the assessment of body composition by DXA or by BIA&#59; in their study of 19 patients on HD&#44; DXA showed greater accuracy in LBM estimation&#46; It is not possible to adequately compare the results obtained in this study with ours&#44; because of the difference in the units of measurement&#44; but the patients in Abrahamsen&#39;s study appeared to have lower percentages of BFM than those obtained in ours&#46; As far as we can say&#44; this is the first study of these characteristics to be carried out in the Spanish dialysis population&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">The small sample size and the difficulty in measuring some parameters are the main limitations of our study&#46; The number of admissions&#44; the impact of the dialysis technique&#44; and the dosages of dialysis were not assessed&#44; although all patients had an adequate dose of dialysis&#46; In the longitudinal study&#44; only patients who had all their anthropometric measurements recorded&#44; both at baseline and at 12 months&#44; were analysed&#46; Owing to these limitations&#44; our results should be interpreted with caution&#46; Nevertheless&#44; we have been able to demonstrate a gain in abdominal fat in HD patients &#40;with the associated increase in CV risk&#41; and its statistically significant association with changes in plasma levels of adipocytokines&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">In conclusion&#44; there is fat gain in general&#44; particularly in abdomen&#44; as the time patients on dialysis increases&#44; which may&#44; in part&#44; explain the increase in CV risk in patients with kidney failure&#59; the A&#47;G ratio is the most sensitive parameter for estimating this risk&#46; There is also a strong correlation between the different methods of body-composition assessment &#40;BIA and DXA&#41;&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conflicts of interest</span><p id="par0180" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest&#46;</p></span></span>"
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              "titulo" => "Haemodialysis versus peritoneal dialysis"
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              "titulo" => "Longitudinal study in haemodialysis"
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    "fechaRecibido" => "2015-11-10"
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            0 => "Dual X-ray absorptiometry &#40;DXA&#41;"
            1 => "Electrical bioimpedance &#40;BIA&#41;"
            2 => "Leptin"
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            4 => "FGF-21"
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            3 => "Adiponectina"
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    "resumen" => array:2 [
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        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Abdominal fat and its increment over time in particular has become a cardiovascular risk factor in uraemic patients&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objectives</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To analyse changes in abdominal fat in haemodialysis patients over one year and study their possible correlation with the variation in adipocytokine serum levels&#46; As a secondary objective&#44; we tried to validate the data obtained by bioelectrical impedance analysis &#40;BIA&#41; with data obtained by dual X-ray absorptiometry &#40;DXA&#41;&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Material and methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">A prospective one-year study was performed in 18 patients on haemodialysis &#40;HD&#41;&#46; In each patient&#44; body composition by BIA and DXA was estimated at baseline and after one year&#46; Several adipocytokine and biochemical parameters were determined&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A significant increase in phase angle &#91;4&#46;8&#176; &#40;4&#46;1&#8211;5&#46;6&#41; vs&#46; 5&#46;2&#176; &#40;4&#46;4&#8211;5&#46;8&#41;&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#93;&#44; BIA intracellular water &#91;48&#46;3&#37; &#40;43&#46;1&#8211;52&#46;3&#41; vs&#46; 50&#46;3&#37; &#40;45&#46;7&#8211;53&#46;4&#41;&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#93; and the ratio between the percentage of android&#47;gynecoid &#40;A&#47;G&#41; distribution of fat measured by DXA &#91;1&#46;00 &#40;0&#46;80&#8211;1&#46;26&#41; vs&#46; 1&#46;02 &#40;0&#46;91&#8211;1&#46;30&#41;&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#93; was observed&#46; A statistically significant relationship between leptin and adiponectin concentrations and the percentage of fat mass measured by BIA&#44; as well as the abdominal fat percentage estimated by DXA&#44; was found &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">HD patients exhibit a gain in fat mass over time&#44; especially in the abdomen&#44; evidenced by an increased A&#47;G ratio&#46; These findings might explain the increased cardiovascular risk in these patients&#46;</p></span>"
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            "titulo" => "Introduction"
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            "identificador" => "abst0010"
            "titulo" => "Objectives"
          ]
          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Material and methods"
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        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introducci&#243;n</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">La grasa abdominal y&#44; sobre todo&#44; su ganancia a lo largo del tiempo&#44; se ha consolidado como un factor de riesgo cardiovascular en pacientes ur&#233;micos&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Analizar los cambios en la grasa abdominal en los pacientes de hemodi&#225;lisis &#40;HD&#41; a lo largo de un a&#241;o y estudiar sus posibles relaciones con los cambios en los niveles circulantes de adipocitocinas&#46; Como objetivo secundario intentamos validar los datos obtenidos por bioimpedancia el&#233;ctrica &#40;BIA&#41; con los obtenidos por absorciometr&#237;a dual de rayos X &#40;DXA&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Material y m&#233;todos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Se realiz&#243; un estudio prospectivo de un a&#241;o de duraci&#243;n en 18 pacientes en HD&#46; En cada paciente se cuantific&#243;&#44; basalmente y al cabo de un a&#241;o&#44; la composici&#243;n corporal por BIA y DXA y se determinaron varios par&#225;metros bioqu&#237;micos incluyendo adipocitocinas&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Se evidenci&#243; un aumento significativo del &#225;ngulo de fase &#91;4&#44;8&#176; &#40;4&#44;1-5&#44;6&#41; frente a 5&#44;2&#176; &#40;4&#44;4-5&#44;8&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#93;&#44; del agua intracelular por BIA &#91;48&#44;3&#37; &#40;43&#44;1-52&#44;3&#41; frente a 50&#44;3&#37; &#40;45&#44;7-53&#44;4&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#93; y del cociente entre el porcentaje de grasa de distribuci&#243;n androide&#47;ginecoide &#40;A&#47;G&#41; medido por DXA &#91;1&#44;00 &#40;0&#44;80-1&#44;26&#41; frente a 1&#44;02 &#40;0&#44;91&#59; 1&#44;30&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#93;&#46; Se encontr&#243; una relaci&#243;n estad&#237;sticamente significativa entre las concentraciones de leptina y adiponectina tanto con el porcentaje de masa grasa medida por BIA como con la grasa abdominal estimada mediante DXA &#40;p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;01&#41;&#46;</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusi&#243;n</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Los pacientes en HD experimentan una ganancia de grasa con el tiempo&#44; especialmente en localizaci&#243;n abdominal&#44; evidenciada por un aumento del cociente A&#47;G&#44; lo que podr&#237;a explicar el aumento del riesgo cardiovascular que presentan&#46;</p></span>"
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    "NotaPie" => array:1 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0040">Please cite this article as&#58; Gonz&#225;lez E&#44; D&#237;ez JJ&#44; P&#233;rez Torres A&#44; Bajo MA&#44; del Peso G&#44; S&#225;nchez-Villanueva R&#44; et al&#46; Composici&#243;n corporal y concentraciones de adipocitoquinas en hemodi&#225;lisis&#58; la ganancia de grasa abdominal como factor de riesgo cardiovascular a&#241;adido&#46; Ganancia de grasa y riesgo cardiovascular&#46; Nefrologia&#46; 2017&#59;37&#58;138&#8211;148&#46;</p>"
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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Evolution of the percentage of fat mass&#44; estimated by DXA&#44; over one year in the 18 HD patients&#46; The graph below shows the difference of this change &#40;the increase in BFM is represented above the <span class="elsevierStyleItalic">y</span>-axis and the decrease&#44; below&#41;&#46;</p>"
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Evolution of the A&#47;G body-fat mass ratio in abdominal tissue&#44; estimated by DXA&#44; over one year in the 18 HD patients&#46; The graph below shows the difference of this change &#40;the increase in A&#47;G ratio is represented above the <span class="elsevierStyleItalic">y</span>-axis and the decrease&#44; below&#41;&#46;</p>"
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        "etiqueta" => "Table 1"
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">The data are shown as mean &#40;SD&#41; for normal distribution variables and as median &#40;p25&#59; p75&#41; for non-parametric variables&#46;</p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">TBW&#58; total body water&#59; ECF&#58; extracellular fluid&#59; FFA&#58; free fatty acids&#59; ICF&#58; intracellular fluid&#59; BIA&#58; bioimpedance&#59; MUAC&#58; mid-upper arm circumference&#59; WC&#58; waist circumference&#59; MUAMA&#58; mid-upper arm muscle area&#59; A&#47;G ratio&#58; android&#47;gynoid fat ratio&#59; DM&#58; diabetes mellitus&#59; DXA&#58; dual-energy X-ray absorptiometry&#59; FGF-21&#58; fibroblast growth factor 21&#59; HOMA&#58; Homeostasis Model Assessment&#59; IL-6&#58; interleukin 6&#59; BMI&#58; body mass index&#59; CRP&#58; C-reactive protein&#59; TSF&#58; triceps skin fold&#59; TG&#58; triglycerides&#59; TNF-a&#58; tumour necrosis factor &#945;&#59; NS&#58; not significant&#46;</p>"
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                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Haemodialysis &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>29&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Clinical parameters</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age &#40;years&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DM &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HTN &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">66&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Events &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">52&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Time on dialysis &#40;months&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">20 &#40;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">12 &#40;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Anthropometric parameters</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">25&#46;8 &#40;4&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">25&#46;6 &#40;6&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TSF &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17&#46;2 &#40;13&#46;2&#59; 20&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">10&#46;9 &#40;10&#46;2&#59; 15&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>MUAC &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;8 &#40;24&#46;8&#59; 30&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">27&#46;6 &#40;25&#46;3&#59; 33&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>MUAMA &#40;mm<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">21&#46;6 &#40;20&#46;6&#59; 23&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">23&#46;2 &#40;21&#46;9&#59; 29&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>WC &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">99&#46;0 &#40;90&#46;9&#59; 105&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">90&#46;5 &#40;78&#46;6&#59; 113&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Laboratory parameters</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FFA &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">110&#46;0 &#40;45&#46;5&#59; 151&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">107&#46;0 &#40;77&#46;3&#59; 140&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">150&#46;2 &#40;36&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">181&#46;2 &#40;51&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TG &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">128&#46;7 &#40;63&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">142&#46;7 &#40;71&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucose &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">127&#46;5 &#40;52&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">127&#46;1 &#40;74&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HOMA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;0 &#40;1&#46;2&#59; 6&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;3 &#40;1&#46;4&#59; 5&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CRP &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">9&#46;9 &#40;7&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;8 &#40;4&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Albumin &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;2 &#40;0&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;6 &#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FGF-21 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">352 &#40;88&#59; 826&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">104 &#40;76&#59; 246&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IL-6 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;4 &#40;1&#46;6&#59; 17&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;1 &#40;1&#59; 15&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TNF-a &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;9 &#40;4&#46;9&#59; 7&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;6 &#40;4&#46;5&#59; 5&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptin &#40;ng&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">18&#46;2 &#40;10&#46;1&#59; 40&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;4 &#40;4&#46;1&#59; 40&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptin&#47;BMI &#40;pg&#47;ml&#47;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">762&#46;1 &#40;401&#46;1&#59; 1379&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">225&#46;3 &#40;158&#46;8&#59; 536&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectin &#40;mcg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">30&#46;4 &#40;25&#46;3&#59; 48&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">23 &#40;14&#46;7&#59; 26&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectin&#47;BMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;03 &#40;0&#46;76&#59; 2&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;85 &#40;0&#46;47&#59; 2&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">BIA</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Phase angle &#40;&#176;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;5 &#40;4&#46;2&#59; 5&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;0 &#40;5&#46;0&#59; 6&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Resistance &#40;Ohm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">620 &#40;512&#59; 676&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">436 &#40;389&#59; 524&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Body fat mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">36&#46;5 &#40;32&#46;0&#59; 39&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">16&#46;0 &#40;14&#46;0&#59; 24&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Lean body mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">63&#46;0 &#40;60&#46;0&#59; 66&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">84&#46;0 &#40;76&#46;0&#59; 86&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Muscle mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#46;5 &#40;33&#46;0&#59; 43&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">56&#46;0 &#40;48&#46;0&#59; 60&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TBW &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">50&#46;2 &#40;47&#46;7&#59; 52&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">61&#46;7 &#40;60&#46;7&#59; 62&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ECF &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">51&#46;8 &#40;47&#46;4&#59; 55&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">43&#46;8 &#40;41&#46;9&#59; 46&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ICF &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">48&#46;3 &#40;44&#46;1&#59; 52&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">56&#46;3 &#40;53&#46;2&#59; 58&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">DXA</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA trunk &#40;body&#41; tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">41&#46;0 &#40;34&#46;4&#59; 44&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">34&#46;0 &#40;16&#46;0&#59; 36&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean trunk &#40;body&#41; &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">20&#46;4 &#40;17&#46;8&#59; 22&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">30&#46;1 &#40;26&#46;0&#59; 35&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA gynoid tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">36&#46;4 &#40;31&#46;5&#59; 42&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;8 &#40;23&#46;1&#59; 42&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean gynoid &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;0 &#40;4&#46;7&#59; 6&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">8&#46;2 &#40;6&#46;3&#59; 8&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA android tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">43&#46;2 &#40;33&#46;0&#59; 46&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">34&#46;3 &#40;12&#46;4&#59; 38&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean android &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;2 &#40;2&#46;7&#59; 3&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;1 &#40;3&#46;8&#59; 6&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>A&#47;G ratio tissue&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;0 &#40;0&#46;8&#59; 1&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;7 &#40;0&#46;6&#59; 1&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA total tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#46;0 &#40;31&#46;9&#59; 39&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">28&#46;8 &#40;17&#46;1&#59; 40&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Baseline clinical&#44; biochemical&#44; anthropometric and body-composition parameters studied from the aggregate sample of 46 patients&#44; stratified by method of renal replacement therapy&#46;</p>"
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          "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">The data are shown as mean &#40;SD&#41; for normal distribution variables and as median &#40;p25&#59; p75&#41; for non-parametric variables&#46;</p><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">TBW&#58; total body water&#59; ECF&#58; extracellular fluid&#59; FFA&#58; free fatty acids&#59; ICF&#58; intracellular fluid&#59; BIA&#58; bioimpedance&#59; MUAC&#58; mid-upper arm circumference&#59; WC&#58; waist circumference&#59; MUAMA&#58; mid-upper arm muscle area&#59; A&#47;G ratio&#58; android&#47;gynoid fat ratio&#59; DM&#58; diabetes mellitus&#59; DXA&#58; dual-energy X-ray absorptiometry&#59; FGF-21&#58; fibroblast growth factor 21&#59; HOMA&#58; Homeostasis Model Assessment&#59; IL-6&#58; interleukin 6&#59; BMI&#58; body mass index&#59; CRP&#58; C-reactive protein&#59; TSF&#58; triceps skin fold&#59; TG&#58; triglycerides&#59; TNF-a&#58; tumour necrosis factor &#945;&#59; NS&#58; not significant&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Baseline haemodialysis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Annual haemodialysis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Anthropometric parameters</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;5 &#40;5&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;6 &#40;5&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TSF &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">18 &#40;11&#46;1&#59; 26&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17&#46;1 &#40;11&#46;8&#59; 19&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>MUAC &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">25&#46;7 &#40;23&#46;3&#59; 30&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">28&#46;5 &#40;25&#46;0&#59; 33&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>MUAMA &#40;mm<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">21&#46;0 &#40;19&#46;4&#59; 23&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">22&#46;8 &#40;21&#46;5&#59; 25&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>WC &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">101&#46;3 &#40;90&#46;1&#59; 107&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">98&#46;8 &#40;89&#46;7&#59; 109&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Laboratory parameters</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FFA &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">128&#46;5 &#40;94&#46;0&#59; 208&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">114&#46;5 &#40;57&#46;3&#59; 153&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">159&#46;0 &#40;43&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">155&#46;0 &#40;65&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TG &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">132&#46;1 &#40;68&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">143&#46;3 &#40;65&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucose &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">127&#46;6 &#40;53&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">122&#46;2 &#40;34&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HOMA-IR &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;0 &#40;1&#46;3&#59; 7&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;15 &#40;0&#46;8&#59; 6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CRP &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">16&#46;7 &#40;24&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">12&#46;9 &#40;20&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Albumin &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;2 &#40;0&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;1 &#40;0&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FGF-21 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">507&#46;5 &#40;117&#46;5&#59; 771&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">414 &#40;120&#46;8&#59; 1&#46;480&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IL-6 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">8&#46;2 &#40;2&#46;3&#59; 22&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;1 &#40;1&#46;8&#59; 28&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TNF-a &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;4 &#40;5&#46;0&#59; 8&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;5 &#40;4&#46;7&#59; 9&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptin &#40;ng&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">14&#46;6 &#40;7&#46;7&#59; 48&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">19&#46;3 &#40;11&#46;4&#59; 38&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptin&#47;BMI &#40;pg&#47;ml&#47;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">762&#46;1 &#40;401&#46;1&#59; 1&#44;379&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">827&#46;7 &#40;506&#46;1&#59; 1296&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectin &#40;mcg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">29&#46;5 &#40;20&#46;9&#59; 53&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">36&#46;2 &#40;26&#46;5&#59; 42&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectin&#47;BMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;03 &#40;0&#46;76&#59; 2&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;19 &#40;0&#46;99&#59; 2&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">BIA</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Phase angle &#40;&#176;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;8 &#40;4&#46;1&#59; 5&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;2 &#40;4&#46;4&#59; 5&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Body fat mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37 &#40;34&#59; 39&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">25&#46;9 &#40;20&#46;7&#59; 30&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Lean body mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">63 &#40;61&#59; 66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">43&#46;9 &#40;34&#46;5&#59; 47&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Muscle mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#46;5 &#40;33&#46;0&#59; 42&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">24&#46;8 &#40;20&#46;8&#59; 30&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TBW &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">49&#46;4 &#40;47&#46;5&#59; 52&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">50&#46;0 &#40;47&#46;4&#59; 52&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ECF &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">51&#46;8 &#40;47&#46;8&#59; 56&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">49&#46;7 &#40;46&#46;7&#59; 54&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ICF &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">48&#46;3 &#40;43&#46;1&#59; 52&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">50&#46;3 &#40;45&#46;7&#59; 53&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">DXA</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA trunk &#40;body&#41; tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#46;3 &#40;30&#46;9&#59; 44&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#46;7 &#40;34&#46;6&#59; 46&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean trunk &#40;body&#41; &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">19&#46;8 &#40;18&#46;1&#59; 21&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">19&#46;8 &#40;17&#46;9&#59; 22&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA gynoid tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#46;8 &#40;32&#46;7&#59; 43&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">38&#46;3 &#40;34&#46;4&#59; 48&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean gynoid &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;4 &#40;4&#46;8&#59; 6&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;8 &#40;5&#46;2&#59; 6&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA android tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">41&#46;9 &#40;28&#46;7&#59; 47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">42&#46;6 &#40;32&#46;6&#59; 48&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean android &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;2 &#40;2&#46;7&#59; 3&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;2 &#40;2&#46;6&#59; 3&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>A&#47;G ratio tissue&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;00 &#40;0&#46;80&#59; 1&#46;26&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;02 &#40;0&#46;91&#59; 1&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#46;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA total tissue &#40;&#37; fat&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#46;2 &#40;31&#46;9&#59; 42&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#46;2 &#40;34&#59; 43&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Biochemical&#44; anthropometric and body composition parameters studied in 18 haemodialysis patients&#44; stratified by baseline and annual samples&#46;</p>"
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          "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">The data are shown as mean &#40;SD&#41; for normal distribution variables and as median &#40;p25&#59; p75&#41; for non-parametric variables&#46;</p><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">TBW&#58; total body water&#59; ECF&#58; extracellular fluid&#59; FFA&#58; free fatty acids&#59; ICF&#58; intracellular fluid&#59; BIA&#58; bioimpedance&#59; MUAC&#58; mid-upper arm circumference&#59; WC&#58; waist circumference&#59; MUAMA&#58; mid-upper arm muscle area&#59; A&#47;G ratio&#58; android&#47;gynoid fat ratio&#59; DM&#58; diabetes mellitus&#59; DXA&#58; dual-energy X-ray absorptiometry&#59; FGF-21&#58; fibroblast growth factor 21&#59; HOMA&#58; Homeostasis Model Assessment&#59; IL-6&#58; interleukin 6&#59; BMI&#58; body mass index&#59; CRP&#58; C-reactive protein&#59; TSF&#58; triceps skin fold&#59; TG&#58; triglycerides&#59; TNF-a&#58; tumour necrosis factor &#945;&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Haemodialysis men &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>10&#41;</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Haemodialysis women &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>8&#41;</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Baseline&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Annual&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Baseline&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Annual&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Anthropometric parameters</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;5 &#40;4&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;9 &#40;4&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;0 &#40;6&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">25&#46;6 &#40;5&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TSF &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">16&#46;2 &#40;13&#46;2&#59; 22&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17&#46;1 &#40;12&#46;5&#59; 20&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">15&#46;8 &#40;10&#46;4&#59; 15&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">14&#46;2 &#40;13&#46;6&#59; 31&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>MUAC &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">25&#46;9 &#40;24&#46;1&#59; 29&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">29&#46;0 &#40;26&#46;5&#59; 32&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">27&#46;3 &#40;24&#46;0&#59; 32&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#46;0 &#40;25&#46;1&#59; 36&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>MUAMA &#40;mm<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">21&#46;0 &#40;20&#46;3&#59; 22&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">23&#46;6 &#40;21&#46;6&#59; 26&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">22&#46;3 &#40;19&#46;2&#59; 24&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">21&#46;7 &#40;20&#46;8&#59; 26&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>WC &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">103 &#40;98&#59; 113&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">104 &#40;98&#59; 110&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">91 &#40;81&#59; 108&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">93 &#40;88&#59; 104&#41;<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Laboratory parameters</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FFA &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">116 &#40;76&#59; 139&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">115 &#40;71&#59; 149&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">228 &#40;149&#59; 246&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">130 &#40;70&#59; 160&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">156 &#40;46&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">149 &#40;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">157 &#40;43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">159 &#40;45&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TG &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">145 &#40;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">153 &#40;81&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">101 &#40;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">115 &#40;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucose &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">129 &#40;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">122 &#40;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">117 &#40;39&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">116 &#40;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HOMA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CRP &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">16&#46;9 &#40;26&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">8&#46;1 &#40;6&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">14&#46;6 &#40;20&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">19&#46;6 &#40;30&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Albumin &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;4 &#40;0&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;2 &#40;0&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;0 &#40;0&#46;3&#41;<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;9 &#40;0&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FGF-21 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">526 &#40;133&#59; 3562&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1275 &#40;312&#59; 3333&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">571 &#40;117&#59; 571&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">176 &#40;118&#59; 334&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IL-6 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">8&#46;2 &#40;2&#46;4&#59; 17&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">9&#46;2 &#40;1&#46;9&#59; 20&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17&#46;3 &#40;2&#46;4&#59; 25&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">7&#46;7 &#40;2&#46;0&#59; 39&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TNF-a &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;7 &#40;5&#46;2&#59; 8&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;5 &#40;5&#46;6&#59; 9&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;9 &#40;5&#46;2&#59; 8&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">7&#46;8 &#40;2&#46;2&#59; 8&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptin &#40;ng&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">12&#46;4 &#40;6&#46;5&#59; 33&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">13&#46;2 &#40;10&#46;3&#59; 27&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">14&#46;9 &#40;12&#46;4&#59; 51&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">38&#46;5 &#40;20&#46;0&#59; 40&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptin&#47;BMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">687&#46;2 &#40;296&#46;2&#59; 1379&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">690&#46;1 &#40;448&#46;2&#59; 939&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">762&#46;1 &#40;601&#46;9&#59; 1654&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1379&#46;2 &#40;827&#46;7&#59; 1795&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectin &#40;mcg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">27&#46;1 &#40;22&#46;1&#59; 35&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">32&#46;8 &#40;26&#46;1&#59; 40&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">58&#46;5 &#40;30&#46;1&#59; 64&#46;2&#41; 1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#46;9 &#40;39&#46;4&#59; 100&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectin&#47;BMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;81 &#40;0&#46;76&#59; 1&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;06 &#40;1&#46;00&#59; 1&#46;19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;51 &#40;1&#46;29&#59; 2&#46;65&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;86 &#40;1&#46;63&#59; 3&#46;83&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">BIA</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Phase angle &#40;&#176;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;4 &#40;4&#46;4&#59; 5&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;6 &#40;4&#46;5&#59; 6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;5 &#40;3&#46;9&#59; 5&#46;4&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;4 &#40;4&#46;3&#59; 5&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Body fat mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">38&#46;0 &#40;35&#46;5&#59; 38&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">35&#46;0 &#40;31&#46;0&#59; 43&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">34&#46;0 &#40;32&#46;5&#59; 38&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#46;0 &#40;33&#46;0&#59; 43&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Lean body mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">62&#46;0 &#40;61&#46;5&#59; 64&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">65&#46;0 &#40;57&#46;0&#59; 69&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">66&#46;0 &#40;61&#46;5&#59; 67&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">61&#46;0 &#40;57&#46;0&#59; 67&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Muscle mass &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">40&#46;0 &#40;37&#46;0&#59; 41&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#46;0 &#40;29&#46;5&#59; 43&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">41&#46;0 &#40;38&#46;0&#59; 46&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">38&#46;0 &#40;32&#46;0&#59; 42&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TBW &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">49&#46;6 &#40;48&#46;2&#59; 50&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">49&#46;1 &#40;45&#46;2&#59; 52&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">50&#46;9 &#40;49&#46;4&#59; 53&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">47&#46;4 &#40;44&#46;0&#59; 51&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ECF &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">48&#46;4 &#40;47&#46;2&#59; 52&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">53&#46;7 &#40;51&#46;1&#59; 57&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">47&#46;4 &#40;44&#46;3&#59; 51&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">54&#46;2 &#40;49&#46;7&#59; 54&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ICF &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">51&#46;5 &#40;47&#46;9&#59; 52&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">46&#46;5 &#40;42&#46;7&#59; 49&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">52&#46;5 &#40;48&#46;6&#59; 55&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">45&#46;9 &#40;45&#46;5&#59; 50&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">DXA</span></td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA trunk &#40;body&#41; tissue &#40;&#37; BFM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">42&#46;0 &#40;37&#46;4&#59; 44&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">40&#46;7 &#40;38&#46;9&#59; 47&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">40&#46;3 &#40;22&#46;8&#59; 50&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">47&#46;5 &#40;25&#46;2&#59; 50&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean trunk &#40;body&#41; &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">21&#46;7 &#40;20&#46;3&#59; 24&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">21&#46;9 &#40;20&#46;5&#59; 24&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17&#46;9 &#40;16&#46;1&#59; 19&#46;3&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17&#46;6 &#40;15&#46;4&#59; 18&#46;6&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA gynoid tissue &#40;&#37; BFM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">33&#46;9 &#40;31&#46;5&#59; 37&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">34&#46;4 &#40;32&#46;3&#59; 39&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">45&#46;7 &#40;35&#46;3&#59; 54&#46;0&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">50&#46;0 &#40;37&#46;2&#59; 52&#46;6&#41;<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean gynoid &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;2 &#40;5&#46;9&#59; 7&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;2 &#40;6&#46;1&#59; 6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;7 &#40;4&#46;5&#59; 5&#46;3&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#46;2 &#40;4&#46;1&#59; 5&#46;4&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA android tissue &#40;&#37; BFM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">44&#46;3 &#40;39&#46;1&#59; 47&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">42&#46;6 &#40;40&#46;1&#59; 50&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#46;5 &#40;20&#46;4&#59; 51&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">47&#46;1 &#40;21&#46;4&#59; 52&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA lean android &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;5 &#40;3&#46;1&#59; 4&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;6 &#40;3&#46;1&#59; 3&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;7 &#40;2&#46;5&#59; 3&#46;1&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;6 &#40;2&#46;5&#59; 3&#46;0&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>A&#47;G ratio tissue&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;2 &#40;1&#46;1&#59; 1&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;3 &#40;1&#46;1&#59; 1&#46;4&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;9 &#40;0&#46;7&#59; 0&#46;9&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;9 &#40;0&#46;7&#59; 1&#46;0&#41;<a class="elsevierStyleCrossRefs" href="#tblfn0005"><span class="elsevierStyleSup">&#42;&#44;b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA total tissue &#40;&#37; BFM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#46;0 &#40;34&#46;4&#59; 39&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#46;2 &#40;35&#46;1&#59; 40&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">41&#46;0 &#40;27&#46;5&#59; 49&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">45&#46;8 &#40;29&#46;3&#59; 49&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Demographic&#44; biochemical&#44; anthropometric and body composition parameters studied in 18 haemodialysis patients&#44; stratified by sex and monitored for one year&#46;</p>"
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          "leyenda" => "<p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">The effect between variables was analysed using a generalised estimating equation model from the &#8220;Score Statistics For Type 3 GEE Analysis&#8221; &#40;coefficient&#946;&#41;&#46;</p><p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">BIA&#58; bioimpedance&#59; DXA&#58; dual-energy X-ray absorptiometry&#59; FGF-21&#58; fibroblast growth factor 21&#59; IL-6&#58; interleukin 6&#46;</p>"
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variables&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">IL-6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Leptin&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Adiponectin&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">BIA phase angle&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;06<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;76&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">BIA body fat mass&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;92&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10&#46;80<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;59<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA trunk&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;97&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10&#46;26<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;40<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA gynoid&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;29<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA android&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;17&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10&#46;20<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;50<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#46;62<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">Estimate using a generalised estimating equation of the effect of association between body composition parameters &#40;measured by bioimpedance and dual-energy X-ray absorptiometry&#41; and adipocytokines studied in 18 haemodialysis patients&#46;</p>"
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          "leyenda" => "<p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">The variables are expressed as correlation coefficients for non-parametric data &#40;Spearman&#39;s rho&#41;&#46;</p><p id="spar0135" class="elsevierStyleSimplePara elsevierViewall">BIA&#58; bioimpedance&#59; BFM&#58; body fat mass&#59; A&#47;G ratio&#58; android&#47;gynoid tissue ratio&#59; DXA&#58; dual-energy X-ray absorptiometry&#59; FGF-21&#58; fibroblast growth factor 21&#59; IL-6&#58; interleukin 6&#59; BMI&#58; body mass index&#59; &#916;&#58; increment or delta&#46;</p>"
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;92<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;85<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;38&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;71<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">&#42;&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;25&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;58<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0125" class="elsevierStyleSimplePara elsevierViewall">Matrix of correlation between the variation of body composition parameters at one year&#44; measured in the 18 haemodialysis patients using bioimpedance and dual-energy X-ray absorptiometry&#44; and the increase in adipocytokines studied&#46;</p>"
        ]
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          "leyenda" => "<p id="spar0145" class="elsevierStyleSimplePara elsevierViewall">The variables are expressed as Pearson&#39;s correlation coefficients&#44; comparing the different variables against body fat mass estimated using bioimpedance vector analysis&#46; All correlations were significant &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p><p id="spar0150" class="elsevierStyleSimplePara elsevierViewall">BFM&#58; body fat mass&#59; HD&#58; haemodialysis&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
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                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variable&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA total trunk &#40;body&#41; tissue&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;77&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;89&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA total trunk &#40;body&#41; area&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;77&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;9&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA trunk &#40;body&#41; tissue&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;85&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA trunk &#40;body&#41; area&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA gynoid tissue&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;82&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;86&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA gynoid area&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;82&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA android tissue&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;86&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;86&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">DXA android area&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;86&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;89&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0140" class="elsevierStyleSimplePara elsevierViewall">Evaluation of the degree of concordance &#40;measured using Pearson&#39;s bivariate correlations&#41; between the body fat mass measurement&#44; estimated using single-frequency bioimpedance and other body composition techniques &#40;multifrequency bioimpedance and dual-energy X-ray absorptiometry&#41;&#44; in 29 HD patients&#46;</p>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0005"
          "bibliografiaReferencia" => array:33 [
            0 => array:3 [
              "identificador" => "bib0170"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:3 [
                  "comentario" => "&#91;consulted 2 Jul 2015&#93;&#46; Available in&#58; <span class="elsevierStyleInterRef" id="intr0010" href="http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4438370%26tool=pmcentrez%26rendertype=Abstract">http&#58;&#47;&#47;www&#46;pubmedcentral&#46;nih&#46;gov&#47;articlerender&#46;fcgi&#63;artid&#61;4438370&#38;tool&#61;pmcentrez&#38;rendertype&#61;Abstract</span>"
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Peritoneal dialysis&#58; from bench to bedside"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
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                          ]
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                      ]
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                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
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                        "fecha" => "2013"
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                ]
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            ]
            1 => array:3 [
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              "referencia" => array:1 [
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                  "comentario" => "Available in&#58; <span class="elsevierStyleInterRef" id="intr0015" href="http://www.scielo.org.co/pdf/rcca/v17n5/v17n5a4.pdf">http&#58;&#47;&#47;www&#46;scielo&#46;org&#46;co&#47;pdf&#47;rcca&#47;v17n5&#47;v17n5a4&#46;pdf</span>"
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Adipocitos&#44; obesidad visceral&#44; inflamaci&#243;n y enfermedad cardiovascular"
                      "autores" => array:1 [
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                            0 => "F&#46; Manzur"
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                      "Revista" => array:5 [
                        "tituloSerie" => "Rev Colomb Cardiol &#91;Internet&#93;"
                        "fecha" => "2010"
                        "volumen" => "17"
                        "paginaInicial" => "207"
                        "paginaFinal" => "213"
                      ]
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                  ]
                ]
              ]
            ]
            2 => array:3 [
              "identificador" => "bib0180"
              "etiqueta" => "3"
              "referencia" => array:1 [
                0 => array:3 [
                  "comentario" => "&#91;consulted 17 Apr 2013&#93;&#46; Available in&#58; <span class="elsevierStyleInterRef" id="intr0020" href="http://www.ncbi.nlm.nih.gov/pubmed/21461015">http&#58;&#47;&#47;www&#46;ncbi&#46;nlm&#46;nih&#46;gov&#47;pubmed&#47;21461015</span>"
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Relationship between leptin and all-cause and cardiovascular mortality in chronic hemodialysis patients"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
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                            0 => "J&#46;J&#46; D&#237;ez"
                            1 => "M&#46; Bossola"
                            2 => "M&#46;J&#46; Fern&#225;ndez-Reyes"
                            3 => "E&#46; Di Stasio"
                            4 => "L&#46; Tazza"
                            5 => "G&#46; Luciani"
                          ]
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                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Nefrologia &#91;Internet&#93;"
                        "fecha" => "2011"
                        "volumen" => "31"
                        "paginaInicial" => "206"
                        "paginaFinal" => "212"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            3 => array:3 [
              "identificador" => "bib0185"
              "etiqueta" => "4"
              "referencia" => array:1 [
                0 => array:3 [
                  "comentario" => "&#91;consulted 7 Oct 2015&#93;&#46; Available in&#58; <span class="elsevierStyleInterRef" id="intr0025" href="http://www.ncbi.nlm.nih.gov/pubmed/12402621">http&#58;&#47;&#47;www&#46;ncbi&#46;nlm&#46;nih&#46;gov&#47;pubmed&#47;12402621</span>"
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Leptin as a marker of nutrition and cardiovascular risk in peritoneal dialysis patients"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46; Aguilera"
                            1 => "M&#46;A&#46; Bajo"
                            2 => "F&#46; Rebollo"
                            3 => "J&#46;J&#46; D&#237;ez"
                            4 => "C&#46; D&#237;az"
                            5 => "A&#46; Paiva"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Adv Perit Dial &#91;Internet&#93;"
                        "fecha" => "2002"
                        "volumen" => "18"
                        "paginaInicial" => "212"
                        "paginaFinal" => "217"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            4 => array:3 [
              "identificador" => "bib0190"
              "etiqueta" => "5"
              "referencia" => array:1 [
                0 => array:3 [
                  "comentario" => "&#91;consulted 6 Jul 2015&#93;&#46; Available in&#58; <span class="elsevierStyleInterRef" id="intr0030" href="http://www.elsevier.es/es-revista-medicina-clinica-2-articulo-adiponectina-un-nuevo-nexo-entre-13072576">http&#58;&#47;&#47;www&#46;elsevier&#46;es&#47;es-revista-medicina-clinica-2-articulo-adiponectina-un-nuevo-nexo-entre-13072576</span>"
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Adiponectina&#58; un nuevo nexo entre obesidad&#44; resistencia a la insulina y enfermedad cardiovascular"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "X&#46; Palomer"
                            1 => "A&#46; P&#233;rez"
                            2 => "F&#46; Blanco-Vaca"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
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