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    "textoCompleto" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">INTRODUCTION</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">Chronic renal failure &#40;CRF&#41; is a health problem which is often accompanied by high mortality of cardiovascular origin<span class="elsevierStyleSup">1</span> but this relation has not been clearly established&#46; Among the possible factors which should be taken into consideration are hypertension &#40;HTN&#41; and overweight-obesity&#46;</p><p class="elsevierStylePara">The abnormal state of overhydration in dialysis patients has been related to HTN&#44; left-ventricular hypertrophy and other adverse cardiovascular effects&#44;<span class="elsevierStyleSup">2</span> and poses a proven risk of mortality&#46; Thus&#44; improving dry weight is currently one of the main objectives of adequate dialysis&#46;<span class="elsevierStyleSup">3</span></p><p class="elsevierStylePara">In the general population&#44; overweight and obesity are increasingly prevalent conditions and they are associated with higher cardiovascular risk and increased mortality&#46;<span class="elsevierStyleSup">4</span> However&#44; in some &#40;but not all&#41; studies into the survival of patients on haemodialysis &#40;HD&#41; the phenomenon of &#8220;paradoxical obesity&#8221; or reverse epidemiology occurs&#44; where a higher body mass index &#40;BMI&#41; is accompanied by better survival rates&#46;<span class="elsevierStyleSup">5</span> In this complex population some findings have suggested that the relation between adiposity and cardiovascular risk factors does not follow the same pattern as in the normal population&#46; In fact&#44; stage 5 CRF non-overweight patients frequently have dyslipaemia and inflammation&#46;<span class="elsevierStyleSup">6</span></p><p class="elsevierStylePara">Adipose tissue is a complex organ&#44; with pleiotropic functions beyond the mere storage of energy&#46; It is related with the secretion of a number of proteins &#40;adipokines&#41;&#44; including leptin and adiponectin and also cytokines such as interleukin-6 &#40;IL-6&#41;&#46; Today&#44; we know that adipose tissue plays an important role in the production of these molecules in the catabolic uraemic medium through its influence on systemic inflammation and uraemic anorexia&#46;<span class="elsevierStyleSup">7</span> Leptin regulates the appetite and the energy catabolism&#46; Its serum concentration is a good indicator of fat mass &#40;FM&#41; both in obese patients<span class="elsevierStyleSup">8-11</span> and non-obese patients with CRF&#46;<span class="elsevierStyleSup">12</span> It is considered an average molecular weight &#40;16&#160;000 Daltons&#41; uraemic toxin and its elimination is greater with high flux membranes and with haemodiafiltration techniques &#40;HDF&#41;&#46;<span class="elsevierStyleSup">10&#44;11</span> Adiponectin is a hormone secreted almost exclusively by adipocytes which has&#44; in contrast&#44; anti-atherogenic and anti-inflammatory properties&#46; Adiponectin levels are reduced in obese subjects&#46;<span class="elsevierStyleSup">12</span></p><p class="elsevierStylePara">Among the inflammation markers&#44; C-reactive protein &#40;CRP&#41; is&#44; furthermore&#44; a cardiovascular risk marker in the general population<span class="elsevierStyleSup">13</span> and in dialysis patients&#44;<span class="elsevierStyleSup">14</span> as is the plasmatic level of some cytokines such as IL-6&#46;<span class="elsevierStyleSup">15</span></p><p class="elsevierStylePara">The bioimpedance spectroscopy &#40;BIS&#41; analysis is a non-invasive method&#44; useful both for measuring body fluid and for evaluating FM and lean mass&#44; which is really the expression of muscle mass&#46; It has been validated recently in the population in HD<span class="elsevierStyleSup">3</span> especially in order to determine the dry weight&#46;</p><p class="elsevierStylePara">This study analyses the body composition of HD patients through BIS&#44; evaluating the prevalence of overweight and overhydration in an HD outpatient population and its possible relation to HD technique &#40;conventional &#91;CHD&#93; and on line liquid replacement &#91;OL-HDF&#93; haemodiafiltration&#41;&#44; adipokines &#40;leptin&#44; adiponectin&#41;&#44; inflammatory &#40;CRP&#44; IL-6&#41; and nutritional parameters &#40;prealbumin&#44; albumin&#44; total proteins&#44; cholesterol&#44; transferrin&#41; or needs of erythropoiesis-stimulating factors to maintain adequate haemoglobin &#40;Hb&#41; levels&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">PATIENTS AND METHODS</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This study includes a cross-sectional sample of 77 clinically stable patients on HD &#40;n&#61;77&#41; from an outpatient unit of a health centre forming part of the Hospital Severo Ochoa&#46; In the sample&#44; 56 patients underwent conventional dialysis &#40;CHD&#41; with a medium flux polysulfone membrane &#40;n&#61;56&#41;&#44; while 21 patients underwent the OL-HDF with a high flux polysulfone membrane and with minimum liquid replacement of 18 litres &#40;n&#61;21&#41;&#46; The study was approved by the hospital&#8217;s ethics committee&#46; All the patients were invited to take part&#59; they all accepted and were included in the study after signing the consent form&#46; The minimum length of the dialysis session with either technique was 4 hours&#44; with a frequency of three times per week&#46; We used ultra pure water and its quality was assessed monthly by colorimetric kinetics &#40;European Pharmacopoeia VI edit&#46; Methods&#41;&#46;</p><p class="elsevierStylePara">The aetiology of the CRF was&#58; chronic glomerulonephritis &#40;18&#37;&#41;&#44; interstitial nephropathy &#40;14&#37;&#41;&#44; polycystic disease &#40;6&#37;&#41;&#44; nephroangiosclerosis &#40;19&#37;&#41;&#44; diabetic nephropathy &#40;19&#37;&#41;&#44; idiopathic &#40;11&#37;&#41; and other causes &#40;12&#37;&#41;&#46; Comorbidity was assessed in each patient using Charlson&#39;s<span class="elsevierStyleSup">16</span> comorbidity index&#46; Some 21&#37; of patients were diabetic and 24&#37; had a history of cardiovascular disease&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Biochemical parameters</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">Blood samples were taken on an empty stomach&#44; before the second weekly dialysis session&#44; after 20 minutes in a semi-seated position&#46; The <span class="elsevierStyleItalic">vacutainers</span> were kept cold and placed immediately on ice&#44; then they were centrifuged at -4&#186;C and the serum was stored at -40&#186;C until the analysis&#46; The measurements of serum creatinine&#44; cholesterol&#44; total proteins&#44; albumin&#44; transferrin&#44; prealbumin and CRP were analysed using methods approved by the Biochemistry Department of the Hospital Severo Ochoa&#46; The parathormone was measured by chemiluminescence &#40;reference values&#58; 16-87pg&#47;ml&#41;&#46;</p><p class="elsevierStylePara">Leptin levels were determined in lithium-heparin plasma using the Human Leptin ELISA kit &#40;Mediagnost&#59; sensitivity of 0&#46;01ng&#47;ml&#44; specificity and interanalysis accuracy of 7&#46;5&#37; and intra-analysis accuracy of 4&#46;35&#37;&#46; Reference values&#58; Females&#44; 50th percentile for BMI&#61;24&#58; 10ng&#47;ml&#59; males&#44; 50th percentile for BMI&#61;24&#58; 2&#46;55ng&#47;ml&#41;&#46;</p><p class="elsevierStylePara">Adiponectin was determined in lithium-heparin plasma using the Adiponectin ELISA kit &#40;Mediagnost&#59; sensitivity of 0&#46;6ng&#47;ml&#44; specificity and interanalysis accuracy of 6&#46;7&#37; and intra-analysis accuracy of 4&#46;7&#37;&#46; Reference values&#58; Females&#58; 4-19&#46;4&#956;g&#47;ml&#59; males&#58; 2-13&#46;9&#956;g&#47;ml&#41;&#46;</p><p class="elsevierStylePara">The IL-6 was determined in lithium-heparin plasma using the Human IL-6 immunoassay &#40;R&#38;D Systems&#59; sensitivity of 0&#46;7ng&#47;ml&#44; specificity and interanalysis accuracy of 6&#46;4&#37; and intra-analysis accuracy of 4&#46;2&#37;&#46; Reference values&#58; 3&#46;12-12&#46;5ng&#47;ml&#41;&#46;</p><p class="elsevierStylePara">Inflammation was defined as levels of IL-6 or CRP above the mean value &#40;&#62;12&#46;5ng&#47;ml and &#62;5&#46;05ng&#47;ml&#44; respectively&#41;&#46;</p><p class="elsevierStylePara">The erythropoietin resistance index was defined as the weekly dose of erythropoietin &#40;U&#47;kg pre-dialysis&#47;dose&#41; divided by the level of Hb in g&#47;dl&#46;</p><p class="elsevierStylePara">The patient&#8217;s dry weight was determined following clinical criteria and was adjusted immediately after each dialysis session&#46;</p><p class="elsevierStylePara">The patient was considered to be overweight when BMI was higher or equal to 25kg&#47;m&#178;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Measurement of bioimpedance</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This was performed immediately before the second dialysis session of the week&#46; All patients were measured and weighed&#46; The BMI was calculated&#46; A multifrequency unit was used &#40;Body Composition Monitor&#44; BCM&#44; Fresenius Medical Care&#41;&#46; Extracellular water was determined in litres &#40;ECW&#41;&#44; intracellular water &#40;ICW&#41;&#44; total body water &#40;TBW&#41;&#44; total lean tissue mass in kg &#40;LTM&#41; and relative lean tissue mass as a percentage &#40;rLTM &#37;&#41;&#44; fat mass in kg &#40;FAT&#41; and relative fat mass as a percentage &#40;FAT &#37;&#41;&#44; ECW&#47;ICW and ECW&#47;TBW ratios&#44; body cellular mass in kg &#40;BCM&#41;&#44; phase angle &#40;Phi50&#41;&#44; overhydration &#40;OH&#41; in liters&#46;</p><p class="elsevierStylePara">The BCM calculates OH as the difference between the predicted ECW and the true ECW&#46; This method is based on the hypothesis of the constant properties in tissue hydration&#44; assuming that OH in dialysis patients is primarily expressed in an expanded extracellular space&#46; OH is defined in the range of normality from the 10th to the 90th percentile of the healthy population&#44; varying from &#8211;1l to &#43;1l&#46;<span class="elsevierStyleSup">17</span> Patients with OH values over the 90th percentile &#40;&#43;1&#46;1l&#41; are considered overhydrated&#44; while those with values below the 10<span class="elsevierStyleSup">th</span> percentile &#40;&#8211;1&#46;1l&#41; are considered depleted&#46; The state of OH is normalised for ECW &#40;OH&#47;ECW&#41;&#44; thereby dividing the patients into a normally hydrated group or an overhydrated group&#46; OH was defined as an OH&#47;ECW ratio over 0&#46;15&#46;<span class="elsevierStyleSup">3</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Statistical analysis</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">All statistical analyses were conducted using the version 12 SPSS program &#40;SPSS Inc&#46; Chicago&#41;&#46; The normally distributed variables were expressed as mean &#177; standard deviation&#44; and the variables that did not follow a normal distribution as median and range &#40;minimum and maximum&#41;&#46; Categorical variables were also expressed as a number and percentage&#46; Comparisons between groups were performed using the Student&#8217;s t<span class="elsevierStyleItalic">-</span>test&#44; the Mann-Witney or chi-square test&#44; depending on the type of variable&#46; The Pearson or Spearman correlations were used for the univariate analysis&#44; depending on the nature of the variable&#46; A simple and multiple logistic regression analysis was used to assess the influence of several variables on the presence of a BMI&#8805;25kg&#47;m&#178;&#46; In the multivariate analysis all variables presenting a statistically significant correlation with the BMI were included and the step forward method was used to select the variables&#44; the likelihood ratio being the criterion for the inclusion of a variable in the model&#46; A probability value below 0&#46;05 was used as significance criterion&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">RESULTS</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">&#160;</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">General characteristics&#44; levels of adipokines&#44; nutritional and inflammatory parameters and analysis of body composition of our population on haemodialysis</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This study included 77 patients coming from a single outpatient HD unit&#58; 56 were treated with CHD and 21 with OL-HDF&#46;</p><p class="elsevierStylePara">Thirty-nine patients &#40;50&#37;&#41; fulfilled overweight criteria &#40;BMI&#8805;25kg&#47;m&#178;&#41;&#46; Their weight was 77&#177;11kg&#44; and that of the non-overweight patients was 57&#177;7&#46;66kg &#40;<span class="elsevierStyleItalic">P&#61;&#46;</span>001&#41;&#46;</p><p class="elsevierStylePara">When comparing overweight and non-overweight patients &#40;Table 1&#41;&#44; we observed that overweight patients were older&#44; had been on dialysis for less time&#44; had lower diastolic blood pressure and used conventional HD techniques more often&#46; The percentage of diabetics was not higher among overweight patients&#46; Their CRP and leptin levels were higher while the adiponectin levels were lower&#44; and there were no differences in the nutritional parameters or in erythropoietin needs&#46;</p><p class="elsevierStylePara">In the analysis of body composition&#44; overweight patients had a greater fat content&#44; more ECW and a lower lean mass&#46;</p><p class="elsevierStylePara">When comparing this data according to the HD technique &#40;Table 2&#41;&#44; we observed that the quantity of fat was lower in the group of patients who underwent OL-HDF&#46; The HD time was greater&#44; but the comorbidity and BMI were lower in those treated with OL-HDF&#46; Levels of adipokines&#44; nutritional and inflammatory parameters&#44; and erythropoietin needs were not different between the two techniques&#46;</p><p class="elsevierStylePara">The distribution of the patients&#8217; state of hydration is shown in Figure 1&#46;</p><p class="elsevierStylePara">Some 16 patients were overhydrated &#40;20&#46;7&#37;&#41;&#46; When comparing over- and normo-hydrated patients&#44; overhydrated ones had a higher Charlson comorbidity index &#40;6&#46;37&#177;2&#46;50 vs 5&#46;03&#177;2&#46;04&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>029&#41;&#44; lower diastolic blood pressure &#40;60&#177;70 vs 76&#177;12&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>015&#41;&#44; showed a tendency towards a higher ECW &#40;15&#177;5&#46;15 vs 14&#177;1&#46;89&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>255&#41; and lower ICW &#40;15&#177;2&#46;93 vs 16&#46;35&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>530&#41;&#44; meaning that the ECW&#47;ICW ratio &#40;1&#46;05&#177;0&#46;18 vs 0&#46;90&#177;0&#46;11&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>049&#41; and OH normalised for ECW &#40;0&#46;20&#177;0&#46;05 vs 0&#46;05&#177;0&#46;06&#44; <span class="elsevierStyleItalic">P</span>&#60;&#46;001&#41; were higher&#46; Surprisingly&#44; pre-HD weight was lower &#40;61&#46;49&#177;10&#46;9 vs 69&#46;40&#177;14&#46;37&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>044&#41;&#46;&#160;The other clinical&#44; biochemical or bioimpedance parameters did not show differences between the two groups&#46;</p><p class="elsevierStylePara">Overall&#44; 30&#37; of patients had high levels of leptin&#44; 10&#37; high levels of IL-6 and only 1&#37; had levels of adiponectin below the minimum values&#46; Leptin levels were higher in females &#40;26ng&#47;ml&#59; range&#58; 1&#46;4-128&#41; than in males &#40;4&#46;70ng&#47;ml&#59; range&#58; 2&#46;20-58&#41; &#40;<span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41;&#46; There were no significant differences by gender in IL-6 and adiponectin levels&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Univariate correlations of adipokines&#44; nutritional and inflammatory markers and parameters of body composition with the body mass index</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">- There is a correlation between BMI and age &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41;&#44; fat &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;001&#59; Figure 2&#41;&#44; body water &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41; and leptin &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41;&#44; and a negative correlation with lean mass &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41;&#44; adiponectin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41; and HD technique &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>05&#41; &#40;Table 3&#41;&#46; There is no correlation between BMI and normalised OH&#46;</p><p class="elsevierStylePara">- CRP levels have a positive correlation with total fat &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41; and IL-6 relates to age &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#46;</p><p class="elsevierStylePara">- Of the nutritional markers&#44; prealbumin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#44; albumin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#44; total proteins &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#44; creatinine &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41; and transferrin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41; relate to total and relative lean mass &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41; &#40;Table 4&#41;&#46;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">&#160;</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Univariate and multivariate multiple linear logistic regression analysis&#58; possible predictive factors of overweight</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">The data from this section are shown in Table 5&#46;</p><p class="elsevierStylePara">- In the univariate analysis&#44; age&#44; ECW&#47;ICW ratio&#44; relative fat and lean mass&#44; leptin&#44; adiponectin and HD technique &#40;OL-HDF&#41; were predictors of overweight&#46;</p><p class="elsevierStylePara">- In the multivariate analysis&#44; we introduced BMI&#8805;25kg&#47;m&#178; as the dependent variable and the variables that had been predictors of BMI in the univariate analysis as independent variables&#46; For each percentile point increase in lean mass&#44; the risk of overweight dropped by 11&#37; &#40;<span class="elsevierStyleItalic">odds ratio</span> &#91;OR&#93;&#58; 0&#46;89&#59; confidence interval &#91;CI&#93;&#58; 0&#46;84-0&#46;94&#41;&#59; for each percentile point increase in adiponectin&#44; the risk of overweight decreased by 12&#37; &#40;OR&#58; 0&#46;86&#59; CI&#58; 0&#46;76-0&#46;98&#41; and with HD technique &#40;OL-HDF&#41;&#44; the risk of overweight decreased by 80&#37;&#44; although the CI was very wide &#40;OR&#58; 0&#46;20&#59; CI&#58; 0&#46;04-0&#46;99&#41;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">DISCUSSION</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This observational study analyses the body composition of a population of HD outpatients and reveals&#44; firstly&#44; the high prevalence of overweight &#40;50&#37;&#41;&#44; which was greater than OH &#40;21&#37;&#41; and due mainly to a greater fat content&#46; Furthermore&#44; our results suggest that the different HD techniques could have an effect on body composition&#46; Specifically&#44; OL-HDF is associated with lower body fat than conventional HD&#44; regardless of other confounding variables&#46; We are aware of the small size of our sample&#44; particularly with regard to OL-HDF patients&#44; and the limitations of the observational nature of our design&#44; but we hope that these results may be confirmed in subsequent studies&#46; We are unaware of any publications showing this association between HD technique and body fat and overweight&#46; The reason that the OL-HDF may contribute to reducing FM could be related to the finding that the serum concentration of leptin may be influenced by the type of membrane&#44; achieving better purification with high flux<span class="elsevierStyleSup">10</span> membranes and haemodiafiltration with on-line reinfusion&#46;<span class="elsevierStyleSup">11</span> Although we did not observe it&#44; leptin is known to suffer a rebound effect related to the instant clearing of the solute&#44;<span class="elsevierStyleSup">10</span> which could explain our results&#44; as a consequence of possibly better purification in OL-HDF&#46;</p><p class="elsevierStylePara">It has been argued whether the relation between adiposity and vascular risk factors in HD patients could be related to the leptin produced by the adipose tissue&#46;<span class="elsevierStyleSup">18&#44;19</span> This adipokine has a direct influence on blood pressure and may result in vascular damage through a central effect and a direct effect on the vessels and the heart&#46;<span class="elsevierStyleSup">20</span> In contrast&#44; several studies have suggested that the reduced levels of adiponectin and abdominal fat deposits<span class="elsevierStyleSup">21</span> are in fact responsible for vessel damage&#44; finding an inverse relationship between adiponectin levels and BMI or FM&#46;<span class="elsevierStyleSup">22</span> It is&#44; furthermore&#44; the adiponectin which has the predictive value of overweight and acts as a cardiorenal protector agent<span class="elsevierStyleSup">12</span> with anti-atherogenic and anti-inflammatory properties&#44; especially the active form&#44; high molecular weight adiponectin&#46;<span class="elsevierStyleSup">22</span> There is an inverse relation with visceral abdominal fat in HD<span class="elsevierStyleSup">7</span> patients&#59; this is the type of fat that is related to inflammation&#44; malnutrition and an increase in mortality&#46;<span class="elsevierStyleSup">22</span> Hipoadiponectinaemia is thought to be one of the mechanisms through which the accumulation of fat produces atherosclerosis&#46; In fact Zocalli et al demonstrated that the group of patients on HD with lower adiponectin serum levels had a higher rate of cardiovascular events during the one-year follow-up&#46;<span class="elsevierStyleSup">23</span> It seems that visceral fat would directly inhibit the secretion of adiponectin by the adipocytes&#46;<span class="elsevierStyleSup">24</span> In our patients&#44; the percentage of subjects with hipoadiponectinaemia was very low and there were no differences in the plasma levels of adiponectin depending on the type of membrane used&#46; However&#44; the levels of adiponectin were significantly lower in our overweight patients&#44; and in this group there was a higher proportion of patients with cardiovascular problems&#44; although this did not reach statistical significance&#46;</p><p class="elsevierStylePara">Our findings confirmed a direct relationship between FM and leptin levels and BMI&#44; and an inverse relationship between FM and adiponectin levels&#46;</p><p class="elsevierStylePara">The greater survival of patients with a higher BMI observed in some studies could in fact suggest the existence of greater lean mass owing to greater protein intake&#46;<span class="elsevierStyleSup">25</span> In our patients there was an inverse relationship between BMI and lean mass that can perhaps be explained by a more sedentary lifestyle that usually goes with obesity&#44; as happens in the general population&#46; The biochemical nutritional parameters studied related to lean mass&#46; The better the nutrition&#44; the higher the lean mass and the lower the BMI&#44; while the worse the nutrition&#44; the higher the fat content and the BMI&#46; Lean mass was a predictive factor of the absence of overweight in our study&#46;</p><p class="elsevierStylePara">OL-HDF has been associated to less inflammation&#44;<span class="elsevierStyleSup">26</span> a more efficient elimination of uraemic toxins&#44;<span class="elsevierStyleSup">27&#44;28</span> a lower rate of cardiovascular events<span class="elsevierStyleSup">26</span> and better levels of 25 OH vitamin D&#46;<span class="elsevierStyleSup">29</span> It is possible that the lower levels of fat in our patients on OL-HDF could explain the above mentioned facts&#46;</p><p class="elsevierStylePara">While there is no evidence that the high flux membrane or the HDL-OL technique improve the prognosis of patients on dialysis&#44; there seems to be a tendency towards this in some studies&#46;<span class="elsevierStyleSup">30-33</span> It has not yet been clarified whether the improvement of the prognosis of OL-HDF patients is due to the use of high flux membranes or ultra pure water&#46;<span class="elsevierStyleSup">31-36</span> Recent studies have not been able to demonstrate the benefit of OL-HDF over the control of anaemia&#44; nutrition&#44; mineral metabolism and the control of blood pressure or volume&#46;<span class="elsevierStyleSup">37</span> We have observed that patients on OL-HDF had less fat but we have not observed differences in the state of hydration&#44; the control of blood pressure&#44; the needs of erythropoiesis-stimulating agents or nutritional parameters&#46;</p><p class="elsevierStylePara">Finally&#44; the greater prevalence of inflammation in CRF patients has been related to an increase in the expression of the leptin gene&#46;<span class="elsevierStyleSup">38</span> In our experience&#44; the inflammation measured by CRP is directly related to the increase in body fat and the BMI&#44; and inversely related to adiponectin levels&#46; We did not find a relationship between inflammatory markers and the extracellular volume as some studies suggested&#46;<span class="elsevierStyleSup">12&#44;39</span> Approximately 21&#37; of our HD patients were overhydrated before dialysis&#44; which is similar to the prevalence in other hospitals with a similar policy to ours concerning ideal weight&#46;<span class="elsevierStyleSup">40</span> We found no differences in lean mass or FM between OH and non-OH patients&#46;</p><p class="elsevierStylePara">We conclude that overweight in HD patients has a high prevalence &#40;50&#37;&#41; and that the different HD techniques are associated to differences in body composition&#46;</p><p class="elsevierStylePara">Our findings suggest that&#44; in addition to restricting water and salt&#44; we should recommend physical exercise to our patients&#46;</p><p class="elsevierStylePara">The OL-HDF technique could reduce one of the factors of cardiovascular risk&#58; overweight due to increased body FM&#46;</p><p class="elsevierStylePara">Bioimpedance allows continuous assessment of the different parameters of body composition and it may prove to be a valuable ally for decisions regarding weight changes in dialysis patients&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Acknowledgements</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">We would like to thank Fresenius Medical Care for supplying the bioimpedance unit and financing the determinations of the adipokines&#46;</p><p class="elsevierStylePara">We also would like to thank Dr Fernando Garc&#237;a L&#243;pez for his help reviewing this paper&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Conflicts of interest</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">The authors affirm that they have no conflicts of interest related to the content of this article&#46;</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31750&#95;en&#95;f1&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31750_en_f1_11219.jpg" alt="Distribution of the state of normalised overhydration for extracellular water&#46;"></img></a></p><p class="elsevierStylePara">Figure 1&#46; Distribution of the state of normalised overhydration for extracellular water&#46;</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31751&#95;en&#95;f2&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31751_en_f2_11219.jpg" alt="Correlation &#40;Pearson&#41; between body mass index and total fat in 77 haemodialysis patients&#46;"></img></a></p><p class="elsevierStylePara">Figure 2&#46; Correlation &#40;Pearson&#41; between body mass index and total fat in 77 haemodialysis patients&#46;</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31752&#95;en&#95;t1&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31752_en_t1_11219.jpg" alt="Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients according to their BMI "></img></a></p><p class="elsevierStylePara">Table 1&#46; Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients according to their BMI </p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31753&#95;en&#95;t2&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31753_en_t2_11219.jpg" alt="Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients depending on the haemodialysis technique "></img></a></p><p class="elsevierStylePara">Table 2&#46; Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients depending on the haemodialysis technique </p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31754&#95;en&#95;t3&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31754_en_t3_11219.jpg" alt="Bivariate correlation between body mass index and the study variables"></img></a></p><p class="elsevierStylePara">Table 3&#46; Bivariate correlation between body mass index and the study variables</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31755&#95;en&#95;t4&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31755_en_t4_11219.jpg" alt="Binary correlation &#40;Pearson&#41; between lean mass and nutritional markers"></img></a></p><p class="elsevierStylePara">Table 4&#46; Binary correlation &#40;Pearson&#41; between lean mass and nutritional markers</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31756&#95;en&#95;t5&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31756_en_t5_11219.jpg" alt="Univariate and multivariate multiple linear logistic regression analysis&#58; possible predictive factors of overweight"></img></a></p><p class="elsevierStylePara">Table 5&#46; Univariate and multivariate multiple linear logistic regression analysis&#58; possible predictive factors of overweight</p>"
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        "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Introducci&#243;n</span><span class="elsevierStyleBold">&#58;</span> El sobrepeso y la obesidad se asocian a un mayor riesgo cardiovascular y mayor mortalidad en la poblaci&#243;n general&#44; y existen datos controvertidos en la poblaci&#243;n en di&#225;lisis&#46; Las adipoquinas &#40;leptina&#44; adiponectina&#41; producidas en los adipocitos podr&#237;an jugar un papel en dicho proceso&#44; as&#237; como los par&#225;metros inflamatorios &#40;prote&#237;na C reactiva &#91;PCR&#93;&#44; interleuquina 6 &#91;IL-6&#93;&#41; pueden ser marcadores del mismo&#46; Por otro lado&#44; alcanzar el peso seco es hoy uno de los principales objetivos de adecuaci&#243;n en di&#225;lisis porque la sobrehidrataci&#243;n s&#237; es un claro predictor de mortalidad&#46; El<span class="elsevierStyleBold"> objetivo</span> de este trabajo es analizar la composici&#243;n corporal mediante la t&#233;cnica de bioimpedancia espectrosc&#243;pica&#160;en pacientes en hemodi&#225;lisis &#40;HD&#41;&#44; evaluar la prevalencia de sobrepeso y sobrehidrataci&#243;n y su posible relaci&#243;n con adipoquinas&#44; par&#225;metros inflamatorios y nutricionales&#44; t&#233;cnica de HD &#40;convencional &#91;HDC&#93;&#44; hemodiafiltraci&#243;n <span class="elsevierStyleItalic">on line</span> &#91;HDF-OL&#93;&#41; y necesidades de eritropoyetina&#46; <span class="elsevierStyleBold">M&#233;todos</span><span class="elsevierStyleBold">&#58;</span> En un estudio observacional transversal&#44; se ha realizado una bioimpedancia espectrosc&#243;pica pre-HD en mitad de la semana a 77 pacientes en HD extrahospitalaria&#58; 56 HDC y 21 HDF-OL&#46; Se considera sobrepeso cuando el &#237;ndice de masa corporal &#40;IMC&#41; es &#8805; 25 kg&#47;m&#178; y sobrehidrataci&#243;n cuando &#233;sta normalizada al agua extracelular es superior a 0&#44;15&#46; Se han analizado los par&#225;metros cl&#237;nicos y bioqu&#237;micos y se ha determinado IL-6&#44; leptina y adiponectina&#46; Se han comparado estos datos entre los pacientes con y sin sobrepeso&#44; normo y sobrehidratados y con ambas t&#233;cnicas de HD&#46; <span class="elsevierStyleBold">Resultados</span><span class="elsevierStyleBold">&#58;</span> El 50&#37; de los pacientes cumplen criterios de sobrepeso y el 21&#37; est&#225;n sobrehidratados pre-HD&#46; Los pacientes con sobrepeso tienen una proporci&#243;n de grasa y agua extracelular superior &#40;p &#60; 0&#44;001&#41;&#46; Los niveles de leptina &#40;p &#61; 0&#44;001&#41; y de PCR &#40;p &#61; 0&#44;036&#41; son m&#225;s elevados&#44; y los de adiponectina&#44; m&#225;s reducidos &#40;p &#61; 0&#44;003&#41;&#46; Existe correlaci&#243;n inversa entre el IMC y la masa&#160;magra &#40;p &#61; 0&#44;01&#41;&#46; Los marcadores nutricionales &#40;prealb&#250;mina&#44; alb&#250;mina&#44; prote&#237;nas totales&#44; creatinina y transferrina&#41; guardan relaci&#243;n con la masa magra &#40;p &#61; 0&#44;05&#41;&#46; Al comparar las dos t&#233;cnicas de HD&#44; se observa menor proporci&#243;n de grasa en la HDF-OL &#40;p &#61; 0&#44;049&#41; sin diferencias en el grado de sobrehidrataci&#243;n&#46; En el an&#225;lisis univariante&#44; la edad&#44; la grasa&#44; el cociente agua extracelular&#47;intracelular&#44; la leptina&#44; la hipoadectinemia&#44; la menor masa muscular y la t&#233;cnica de HDC fueron predictores de sobrepeso&#46; En el an&#225;lisis multivariante&#44; la hipoadectinemia &#40;<span class="elsevierStyleItalic">odds ratio </span>&#91;OR&#93;&#58; 0&#44;86&#59; intervalo de confianza &#91;IC&#93;&#58; 0&#44;76-0&#44;98&#41;&#44; la masa muscular &#40;OR&#58; 0&#44;89&#59; IC&#58; 0&#44;84-0&#44;94&#41; y la t&#233;cnica de HDF-OL &#40;OR&#58; 0&#44;20&#59; IC&#58; 0&#44;04-0&#44;99&#41; predicen la ausencia de sobrepeso&#46; <span class="elsevierStyleBold">Conclusi&#243;n&#58;</span>&#160;Este estudio observacional subraya la alta prevalencia de sobrepeso en la poblaci&#243;n en HD extrahospitalaria y el hecho de que &#233;ste est&#225; en relaci&#243;n con la grasa y el agua extracelular&#46; Adem&#225;s&#44; se acompa&#241;a de&#160;mayor inflamaci&#243;n y de niveles superiores de leptina e inferiores de adiponectina&#46; La utilizaci&#243;n de la t&#233;cnica de HDF-OL se asocia a menor sobrepeso por menor proporci&#243;n de grasa&#46; La bioimpedancia puede ser un arma m&#225;s en el proceso de toma de decisiones ante los cambios de peso de los pacientes en di&#225;lisis&#46;</p>"
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        "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Introduction&#58;</span> Overweight and obesity are associated to a higher cardiovascular risk and mortality in the general population and conflicting findings exist in the dialysis population&#46; Adipokines &#40;Leptin&#44; adiponectin&#41; produced in adipocytes may play a role in that process&#44; and inflammatory parameters &#40;CRP&#44; IL-6&#41; may be markers for it&#46; Nevertheless&#44; obtaining dry weight is today one of the main aims of adequacy in dialysis because overhydration is a clear mortality predictor&#46; <span class="elsevierStyleBold">Objectives&#58;</span>&#160;The aim of this study was to analyse body composition using an impedance spectroscopy technique in patients on haemodialysis &#40;HD&#41;&#58; and evaluate overweight and overhydration prevalence and its possible relation with adipokines&#44; inflammatory and nutritional parameters&#44; HD technique &#40;Conventional &#91;CHD&#93;&#44; on-line haemodiafiltration &#91;OL-HFD&#93;&#41; and erythropoietin needs&#46; <span class="elsevierStyleBold">Methods&#58;</span> In a cross-sectional observational study&#44; a pre-HD multifrequency bioimpedance spectroscopy &#40;BIS&#41; was performed in the middle of the week on 77 HD outpatients&#58; 56 CHD and 21 OL-HFD&#46; Patients were considered overweight when Body Mass Index &#40;BMI&#41; was &#8805;25kg&#47;m&#178; and overhydrated when overhydration normalised for extracellular water was higher than 0&#46;15l&#46; Clinical and biochemical parameters were analysed and IL-6&#44; leptin and adiponectin levels were determined&#46; This information was analysed in overweight and non-overweight&#44; regular and overhydrated patients and both HD techniques&#46; <span class="elsevierStyleBold">Results&#58;</span> 50&#37; of patients fulfilled overweight criteria and 21&#37; were pre-HD overhydrated&#46; Overweight patients had a superior fat and extracellular water&#160;content &#40;<span class="elsevierStyleItalic">P</span>&#60;&#46;001&#41;&#46; Leptin &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;001&#41; and CRP &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;036&#41; levels were higher and adiponectin levels were lower &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;003&#41;&#46; An inverse correlation did exist between BMI and&#160;lean mass &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;01&#41;&#46; Nutritional markers &#40;prealbumin&#44; albumin&#44; total proteins&#44; creatinine and transferrin&#41; were related to&#160;lean mass &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;05&#41;&#46; Comparing both HD techniques&#44; a lower fat content was observed in OL-HFD &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;049&#41; without overhydration differences&#46; In the univariate analysis&#44; age&#44; fat&#44; extracellular&#47;intracellular water ratio&#44; leptin&#44; hipoadiponectinaemia&#44; lower&#160;lean mass and CHD technique were predictors of overweight&#46; In the multivariate analysis&#44; hipoadiponectinaemia &#40;OR&#58; 0&#46;86&#59; IC&#58; 0&#46;76-0&#46;98&#41;&#44;&#160;lean mass &#40;OR&#58; 0&#46;89&#59; IC&#58; 0&#46;84-0&#46;94&#41; and OL-HFD technique &#40;OR&#58; 0&#46;200&#59; IC&#58; 0&#46;04-0&#46;99&#41; predicted the absence of overweight&#46; <span class="elsevierStyleBold">Conclusion&#58;</span> This observational study emphasises the high prevalence of overweight in the outpatient haemodialysis population&#44; as long as overweight is related with fat and extracellular water&#46; Furthermore&#44; it is accompanied by higher inflammation and leptin levels and lower levels of adiponectin&#46; The use of the OL-HFD technique is associated to less overweight and fat content&#46; Bioimpedance may prove to be a valuable ally for decisions regarding weight changes in dialysis patients&#46;</p>"
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Body composition in patients on haemodialysis: relationship between the type of haemodialysis and inflammatory and nutritional parameters
Composición corporal en pacientes en hemodiálisis: relación con la modalidad de hemodiálisis, parámetros inflamatorios y nutricionales
Paloma Gallar Ruiza, Paloma Gallar-Ruizb, Cristina Digioiab, Concepción Lacallec, Isabel Rodríguez Villareala, Isabel Rodríguez-Villarealb, Nuria Laso Lasoa, Nuria Laso-Lasob, Julie Hinostroza yanahuayaa, Julie Hinostroza-Yanahuayab, Aniana Oliet Palaa, Aniana Oliet-Palab, Juan Carlos Herrero Berrona, Juan C. Herrero-Berronb, Olimpia Ortega Marcosa, Olimpia Ortega-Marcosb, Milagros Ortiz Librerosd, Milagros Ortiz-Librerosb, Carmen Mon Mond, Carmen Mon-Monb..., Gabriela Cobo Jaramillod, Gabriela Cobo-Jaramillob, Ana Vigil Medinad, Ana Vigil-MedinabVer más
a SECCIÓN DE NEFROLOGÍA, Hospital Severo Ochoa, Madrid, Madrid, Spain,
b Sección de Nefrología, Hospital Universitario Severo Ochoa, Madrid,
c Servicio de Bioquímica, Hospital Universitario Severo Ochoa, Madrid,
d SECCION DE NEFROLOGIA, Hospital Severo Ochoa, Madrid, Madrid, Spain,
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in some &#40;but not all&#41; studies into the survival of patients on haemodialysis &#40;HD&#41; the phenomenon of &#8220;paradoxical obesity&#8221; or reverse epidemiology occurs&#44; where a higher body mass index &#40;BMI&#41; is accompanied by better survival rates&#46;<span class="elsevierStyleSup">5</span> In this complex population some findings have suggested that the relation between adiposity and cardiovascular risk factors does not follow the same pattern as in the normal population&#46; In fact&#44; stage 5 CRF non-overweight patients frequently have dyslipaemia and inflammation&#46;<span class="elsevierStyleSup">6</span></p><p class="elsevierStylePara">Adipose tissue is a complex organ&#44; with pleiotropic functions beyond the mere storage of energy&#46; It is related with the secretion of a number of proteins &#40;adipokines&#41;&#44; including leptin and adiponectin and also cytokines such as interleukin-6 &#40;IL-6&#41;&#46; Today&#44; we know that adipose tissue plays an important role in the production of these molecules in the catabolic uraemic medium through its influence on systemic inflammation and uraemic anorexia&#46;<span class="elsevierStyleSup">7</span> Leptin regulates the appetite and the energy catabolism&#46; Its serum concentration is a good indicator of fat mass &#40;FM&#41; both in obese patients<span class="elsevierStyleSup">8-11</span> and non-obese patients with CRF&#46;<span class="elsevierStyleSup">12</span> It is considered an average molecular weight &#40;16&#160;000 Daltons&#41; uraemic toxin and its elimination is greater with high flux membranes and with haemodiafiltration techniques &#40;HDF&#41;&#46;<span class="elsevierStyleSup">10&#44;11</span> Adiponectin is a hormone secreted almost exclusively by adipocytes which has&#44; in contrast&#44; anti-atherogenic and anti-inflammatory properties&#46; Adiponectin levels are reduced in obese subjects&#46;<span class="elsevierStyleSup">12</span></p><p class="elsevierStylePara">Among the inflammation markers&#44; C-reactive protein &#40;CRP&#41; is&#44; furthermore&#44; a cardiovascular risk marker in the general population<span class="elsevierStyleSup">13</span> and in dialysis patients&#44;<span class="elsevierStyleSup">14</span> as is the plasmatic level of some cytokines such as IL-6&#46;<span class="elsevierStyleSup">15</span></p><p class="elsevierStylePara">The bioimpedance spectroscopy &#40;BIS&#41; analysis is a non-invasive method&#44; useful both for measuring body fluid and for evaluating FM and lean mass&#44; which is really the expression of muscle mass&#46; It has been validated recently in the population in HD<span class="elsevierStyleSup">3</span> especially in order to determine the dry weight&#46;</p><p class="elsevierStylePara">This study analyses the body composition of HD patients through BIS&#44; evaluating the prevalence of overweight and overhydration in an HD outpatient population and its possible relation to HD technique &#40;conventional &#91;CHD&#93; and on line liquid replacement &#91;OL-HDF&#93; haemodiafiltration&#41;&#44; adipokines &#40;leptin&#44; adiponectin&#41;&#44; inflammatory &#40;CRP&#44; IL-6&#41; and nutritional parameters &#40;prealbumin&#44; albumin&#44; total proteins&#44; cholesterol&#44; transferrin&#41; or needs of erythropoiesis-stimulating factors to maintain adequate haemoglobin &#40;Hb&#41; levels&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">PATIENTS AND METHODS</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This study includes a cross-sectional sample of 77 clinically stable patients on HD &#40;n&#61;77&#41; from an outpatient unit of a health centre forming part of the Hospital Severo Ochoa&#46; In the sample&#44; 56 patients underwent conventional dialysis &#40;CHD&#41; with a medium flux polysulfone membrane &#40;n&#61;56&#41;&#44; while 21 patients underwent the OL-HDF with a high flux polysulfone membrane and with minimum liquid replacement of 18 litres &#40;n&#61;21&#41;&#46; The study was approved by the hospital&#8217;s ethics committee&#46; All the patients were invited to take part&#59; they all accepted and were included in the study after signing the consent form&#46; The minimum length of the dialysis session with either technique was 4 hours&#44; with a frequency of three times per week&#46; We used ultra pure water and its quality was assessed monthly by colorimetric kinetics &#40;European Pharmacopoeia VI edit&#46; Methods&#41;&#46;</p><p class="elsevierStylePara">The aetiology of the CRF was&#58; chronic glomerulonephritis &#40;18&#37;&#41;&#44; interstitial nephropathy &#40;14&#37;&#41;&#44; polycystic disease &#40;6&#37;&#41;&#44; nephroangiosclerosis &#40;19&#37;&#41;&#44; diabetic nephropathy &#40;19&#37;&#41;&#44; idiopathic &#40;11&#37;&#41; and other causes &#40;12&#37;&#41;&#46; Comorbidity was assessed in each patient using Charlson&#39;s<span class="elsevierStyleSup">16</span> comorbidity index&#46; Some 21&#37; of patients were diabetic and 24&#37; had a history of cardiovascular disease&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Biochemical parameters</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">Blood samples were taken on an empty stomach&#44; before the second weekly dialysis session&#44; after 20 minutes in a semi-seated position&#46; The <span class="elsevierStyleItalic">vacutainers</span> were kept cold and placed immediately on ice&#44; then they were centrifuged at -4&#186;C and the serum was stored at -40&#186;C until the analysis&#46; The measurements of serum creatinine&#44; cholesterol&#44; total proteins&#44; albumin&#44; transferrin&#44; prealbumin and CRP were analysed using methods approved by the Biochemistry Department of the Hospital Severo Ochoa&#46; The parathormone was measured by chemiluminescence &#40;reference values&#58; 16-87pg&#47;ml&#41;&#46;</p><p class="elsevierStylePara">Leptin levels were determined in lithium-heparin plasma using the Human Leptin ELISA kit &#40;Mediagnost&#59; sensitivity of 0&#46;01ng&#47;ml&#44; specificity and interanalysis accuracy of 7&#46;5&#37; and intra-analysis accuracy of 4&#46;35&#37;&#46; Reference values&#58; Females&#44; 50th percentile for BMI&#61;24&#58; 10ng&#47;ml&#59; males&#44; 50th percentile for BMI&#61;24&#58; 2&#46;55ng&#47;ml&#41;&#46;</p><p class="elsevierStylePara">Adiponectin was determined in lithium-heparin plasma using the Adiponectin ELISA kit &#40;Mediagnost&#59; sensitivity of 0&#46;6ng&#47;ml&#44; specificity and interanalysis accuracy of 6&#46;7&#37; and intra-analysis accuracy of 4&#46;7&#37;&#46; Reference values&#58; Females&#58; 4-19&#46;4&#956;g&#47;ml&#59; males&#58; 2-13&#46;9&#956;g&#47;ml&#41;&#46;</p><p class="elsevierStylePara">The IL-6 was determined in lithium-heparin plasma using the Human IL-6 immunoassay &#40;R&#38;D Systems&#59; sensitivity of 0&#46;7ng&#47;ml&#44; specificity and interanalysis accuracy of 6&#46;4&#37; and intra-analysis accuracy of 4&#46;2&#37;&#46; Reference values&#58; 3&#46;12-12&#46;5ng&#47;ml&#41;&#46;</p><p class="elsevierStylePara">Inflammation was defined as levels of IL-6 or CRP above the mean value &#40;&#62;12&#46;5ng&#47;ml and &#62;5&#46;05ng&#47;ml&#44; respectively&#41;&#46;</p><p class="elsevierStylePara">The erythropoietin resistance index was defined as the weekly dose of erythropoietin &#40;U&#47;kg pre-dialysis&#47;dose&#41; divided by the level of Hb in g&#47;dl&#46;</p><p class="elsevierStylePara">The patient&#8217;s dry weight was determined following clinical criteria and was adjusted immediately after each dialysis session&#46;</p><p class="elsevierStylePara">The patient was considered to be overweight when BMI was higher or equal to 25kg&#47;m&#178;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Measurement of bioimpedance</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This was performed immediately before the second dialysis session of the week&#46; All patients were measured and weighed&#46; The BMI was calculated&#46; A multifrequency unit was used &#40;Body Composition Monitor&#44; BCM&#44; Fresenius Medical Care&#41;&#46; Extracellular water was determined in litres &#40;ECW&#41;&#44; intracellular water &#40;ICW&#41;&#44; total body water &#40;TBW&#41;&#44; total lean tissue mass in kg &#40;LTM&#41; and relative lean tissue mass as a percentage &#40;rLTM &#37;&#41;&#44; fat mass in kg &#40;FAT&#41; and relative fat mass as a percentage &#40;FAT &#37;&#41;&#44; ECW&#47;ICW and ECW&#47;TBW ratios&#44; body cellular mass in kg &#40;BCM&#41;&#44; phase angle &#40;Phi50&#41;&#44; overhydration &#40;OH&#41; in liters&#46;</p><p class="elsevierStylePara">The BCM calculates OH as the difference between the predicted ECW and the true ECW&#46; This method is based on the hypothesis of the constant properties in tissue hydration&#44; assuming that OH in dialysis patients is primarily expressed in an expanded extracellular space&#46; OH is defined in the range of normality from the 10th to the 90th percentile of the healthy population&#44; varying from &#8211;1l to &#43;1l&#46;<span class="elsevierStyleSup">17</span> Patients with OH values over the 90th percentile &#40;&#43;1&#46;1l&#41; are considered overhydrated&#44; while those with values below the 10<span class="elsevierStyleSup">th</span> percentile &#40;&#8211;1&#46;1l&#41; are considered depleted&#46; The state of OH is normalised for ECW &#40;OH&#47;ECW&#41;&#44; thereby dividing the patients into a normally hydrated group or an overhydrated group&#46; OH was defined as an OH&#47;ECW ratio over 0&#46;15&#46;<span class="elsevierStyleSup">3</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Statistical analysis</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">All statistical analyses were conducted using the version 12 SPSS program &#40;SPSS Inc&#46; Chicago&#41;&#46; The normally distributed variables were expressed as mean &#177; standard deviation&#44; and the variables that did not follow a normal distribution as median and range &#40;minimum and maximum&#41;&#46; Categorical variables were also expressed as a number and percentage&#46; Comparisons between groups were performed using the Student&#8217;s t<span class="elsevierStyleItalic">-</span>test&#44; the Mann-Witney or chi-square test&#44; depending on the type of variable&#46; The Pearson or Spearman correlations were used for the univariate analysis&#44; depending on the nature of the variable&#46; A simple and multiple logistic regression analysis was used to assess the influence of several variables on the presence of a BMI&#8805;25kg&#47;m&#178;&#46; In the multivariate analysis all variables presenting a statistically significant correlation with the BMI were included and the step forward method was used to select the variables&#44; the likelihood ratio being the criterion for the inclusion of a variable in the model&#46; A probability value below 0&#46;05 was used as significance criterion&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">RESULTS</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">&#160;</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">General characteristics&#44; levels of adipokines&#44; nutritional and inflammatory parameters and analysis of body composition of our population on haemodialysis</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This study included 77 patients coming from a single outpatient HD unit&#58; 56 were treated with CHD and 21 with OL-HDF&#46;</p><p class="elsevierStylePara">Thirty-nine patients &#40;50&#37;&#41; fulfilled overweight criteria &#40;BMI&#8805;25kg&#47;m&#178;&#41;&#46; Their weight was 77&#177;11kg&#44; and that of the non-overweight patients was 57&#177;7&#46;66kg &#40;<span class="elsevierStyleItalic">P&#61;&#46;</span>001&#41;&#46;</p><p class="elsevierStylePara">When comparing overweight and non-overweight patients &#40;Table 1&#41;&#44; we observed that overweight patients were older&#44; had been on dialysis for less time&#44; had lower diastolic blood pressure and used conventional HD techniques more often&#46; The percentage of diabetics was not higher among overweight patients&#46; Their CRP and leptin levels were higher while the adiponectin levels were lower&#44; and there were no differences in the nutritional parameters or in erythropoietin needs&#46;</p><p class="elsevierStylePara">In the analysis of body composition&#44; overweight patients had a greater fat content&#44; more ECW and a lower lean mass&#46;</p><p class="elsevierStylePara">When comparing this data according to the HD technique &#40;Table 2&#41;&#44; we observed that the quantity of fat was lower in the group of patients who underwent OL-HDF&#46; The HD time was greater&#44; but the comorbidity and BMI were lower in those treated with OL-HDF&#46; Levels of adipokines&#44; nutritional and inflammatory parameters&#44; and erythropoietin needs were not different between the two techniques&#46;</p><p class="elsevierStylePara">The distribution of the patients&#8217; state of hydration is shown in Figure 1&#46;</p><p class="elsevierStylePara">Some 16 patients were overhydrated &#40;20&#46;7&#37;&#41;&#46; When comparing over- and normo-hydrated patients&#44; overhydrated ones had a higher Charlson comorbidity index &#40;6&#46;37&#177;2&#46;50 vs 5&#46;03&#177;2&#46;04&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>029&#41;&#44; lower diastolic blood pressure &#40;60&#177;70 vs 76&#177;12&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>015&#41;&#44; showed a tendency towards a higher ECW &#40;15&#177;5&#46;15 vs 14&#177;1&#46;89&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>255&#41; and lower ICW &#40;15&#177;2&#46;93 vs 16&#46;35&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>530&#41;&#44; meaning that the ECW&#47;ICW ratio &#40;1&#46;05&#177;0&#46;18 vs 0&#46;90&#177;0&#46;11&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>049&#41; and OH normalised for ECW &#40;0&#46;20&#177;0&#46;05 vs 0&#46;05&#177;0&#46;06&#44; <span class="elsevierStyleItalic">P</span>&#60;&#46;001&#41; were higher&#46; Surprisingly&#44; pre-HD weight was lower &#40;61&#46;49&#177;10&#46;9 vs 69&#46;40&#177;14&#46;37&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>044&#41;&#46;&#160;The other clinical&#44; biochemical or bioimpedance parameters did not show differences between the two groups&#46;</p><p class="elsevierStylePara">Overall&#44; 30&#37; of patients had high levels of leptin&#44; 10&#37; high levels of IL-6 and only 1&#37; had levels of adiponectin below the minimum values&#46; Leptin levels were higher in females &#40;26ng&#47;ml&#59; range&#58; 1&#46;4-128&#41; than in males &#40;4&#46;70ng&#47;ml&#59; range&#58; 2&#46;20-58&#41; &#40;<span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41;&#46; There were no significant differences by gender in IL-6 and adiponectin levels&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Univariate correlations of adipokines&#44; nutritional and inflammatory markers and parameters of body composition with the body mass index</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">- There is a correlation between BMI and age &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41;&#44; fat &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;001&#59; Figure 2&#41;&#44; body water &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41; and leptin &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41;&#44; and a negative correlation with lean mass &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41;&#44; adiponectin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>01&#41; and HD technique &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#61;&#46;</span>05&#41; &#40;Table 3&#41;&#46; There is no correlation between BMI and normalised OH&#46;</p><p class="elsevierStylePara">- CRP levels have a positive correlation with total fat &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41; and IL-6 relates to age &#40;Spearman&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#46;</p><p class="elsevierStylePara">- Of the nutritional markers&#44; prealbumin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#44; albumin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#44; total proteins &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41;&#44; creatinine &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41; and transferrin &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;01&#41; relate to total and relative lean mass &#40;Pearson&#44; <span class="elsevierStyleItalic">P&#60;</span>&#46;05&#41; &#40;Table 4&#41;&#46;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">&#160;</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Univariate and multivariate multiple linear logistic regression analysis&#58; possible predictive factors of overweight</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">The data from this section are shown in Table 5&#46;</p><p class="elsevierStylePara">- In the univariate analysis&#44; age&#44; ECW&#47;ICW ratio&#44; relative fat and lean mass&#44; leptin&#44; adiponectin and HD technique &#40;OL-HDF&#41; were predictors of overweight&#46;</p><p class="elsevierStylePara">- In the multivariate analysis&#44; we introduced BMI&#8805;25kg&#47;m&#178; as the dependent variable and the variables that had been predictors of BMI in the univariate analysis as independent variables&#46; For each percentile point increase in lean mass&#44; the risk of overweight dropped by 11&#37; &#40;<span class="elsevierStyleItalic">odds ratio</span> &#91;OR&#93;&#58; 0&#46;89&#59; confidence interval &#91;CI&#93;&#58; 0&#46;84-0&#46;94&#41;&#59; for each percentile point increase in adiponectin&#44; the risk of overweight decreased by 12&#37; &#40;OR&#58; 0&#46;86&#59; CI&#58; 0&#46;76-0&#46;98&#41; and with HD technique &#40;OL-HDF&#41;&#44; the risk of overweight decreased by 80&#37;&#44; although the CI was very wide &#40;OR&#58; 0&#46;20&#59; CI&#58; 0&#46;04-0&#46;99&#41;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">DISCUSSION</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">This observational study analyses the body composition of a population of HD outpatients and reveals&#44; firstly&#44; the high prevalence of overweight &#40;50&#37;&#41;&#44; which was greater than OH &#40;21&#37;&#41; and due mainly to a greater fat content&#46; Furthermore&#44; our results suggest that the different HD techniques could have an effect on body composition&#46; Specifically&#44; OL-HDF is associated with lower body fat than conventional HD&#44; regardless of other confounding variables&#46; We are aware of the small size of our sample&#44; particularly with regard to OL-HDF patients&#44; and the limitations of the observational nature of our design&#44; but we hope that these results may be confirmed in subsequent studies&#46; We are unaware of any publications showing this association between HD technique and body fat and overweight&#46; The reason that the OL-HDF may contribute to reducing FM could be related to the finding that the serum concentration of leptin may be influenced by the type of membrane&#44; achieving better purification with high flux<span class="elsevierStyleSup">10</span> membranes and haemodiafiltration with on-line reinfusion&#46;<span class="elsevierStyleSup">11</span> Although we did not observe it&#44; leptin is known to suffer a rebound effect related to the instant clearing of the solute&#44;<span class="elsevierStyleSup">10</span> which could explain our results&#44; as a consequence of possibly better purification in OL-HDF&#46;</p><p class="elsevierStylePara">It has been argued whether the relation between adiposity and vascular risk factors in HD patients could be related to the leptin produced by the adipose tissue&#46;<span class="elsevierStyleSup">18&#44;19</span> This adipokine has a direct influence on blood pressure and may result in vascular damage through a central effect and a direct effect on the vessels and the heart&#46;<span class="elsevierStyleSup">20</span> In contrast&#44; several studies have suggested that the reduced levels of adiponectin and abdominal fat deposits<span class="elsevierStyleSup">21</span> are in fact responsible for vessel damage&#44; finding an inverse relationship between adiponectin levels and BMI or FM&#46;<span class="elsevierStyleSup">22</span> It is&#44; furthermore&#44; the adiponectin which has the predictive value of overweight and acts as a cardiorenal protector agent<span class="elsevierStyleSup">12</span> with anti-atherogenic and anti-inflammatory properties&#44; especially the active form&#44; high molecular weight adiponectin&#46;<span class="elsevierStyleSup">22</span> There is an inverse relation with visceral abdominal fat in HD<span class="elsevierStyleSup">7</span> patients&#59; this is the type of fat that is related to inflammation&#44; malnutrition and an increase in mortality&#46;<span class="elsevierStyleSup">22</span> Hipoadiponectinaemia is thought to be one of the mechanisms through which the accumulation of fat produces atherosclerosis&#46; In fact Zocalli et al demonstrated that the group of patients on HD with lower adiponectin serum levels had a higher rate of cardiovascular events during the one-year follow-up&#46;<span class="elsevierStyleSup">23</span> It seems that visceral fat would directly inhibit the secretion of adiponectin by the adipocytes&#46;<span class="elsevierStyleSup">24</span> In our patients&#44; the percentage of subjects with hipoadiponectinaemia was very low and there were no differences in the plasma levels of adiponectin depending on the type of membrane used&#46; However&#44; the levels of adiponectin were significantly lower in our overweight patients&#44; and in this group there was a higher proportion of patients with cardiovascular problems&#44; although this did not reach statistical significance&#46;</p><p class="elsevierStylePara">Our findings confirmed a direct relationship between FM and leptin levels and BMI&#44; and an inverse relationship between FM and adiponectin levels&#46;</p><p class="elsevierStylePara">The greater survival of patients with a higher BMI observed in some studies could in fact suggest the existence of greater lean mass owing to greater protein intake&#46;<span class="elsevierStyleSup">25</span> In our patients there was an inverse relationship between BMI and lean mass that can perhaps be explained by a more sedentary lifestyle that usually goes with obesity&#44; as happens in the general population&#46; The biochemical nutritional parameters studied related to lean mass&#46; The better the nutrition&#44; the higher the lean mass and the lower the BMI&#44; while the worse the nutrition&#44; the higher the fat content and the BMI&#46; Lean mass was a predictive factor of the absence of overweight in our study&#46;</p><p class="elsevierStylePara">OL-HDF has been associated to less inflammation&#44;<span class="elsevierStyleSup">26</span> a more efficient elimination of uraemic toxins&#44;<span class="elsevierStyleSup">27&#44;28</span> a lower rate of cardiovascular events<span class="elsevierStyleSup">26</span> and better levels of 25 OH vitamin D&#46;<span class="elsevierStyleSup">29</span> It is possible that the lower levels of fat in our patients on OL-HDF could explain the above mentioned facts&#46;</p><p class="elsevierStylePara">While there is no evidence that the high flux membrane or the HDL-OL technique improve the prognosis of patients on dialysis&#44; there seems to be a tendency towards this in some studies&#46;<span class="elsevierStyleSup">30-33</span> It has not yet been clarified whether the improvement of the prognosis of OL-HDF patients is due to the use of high flux membranes or ultra pure water&#46;<span class="elsevierStyleSup">31-36</span> Recent studies have not been able to demonstrate the benefit of OL-HDF over the control of anaemia&#44; nutrition&#44; mineral metabolism and the control of blood pressure or volume&#46;<span class="elsevierStyleSup">37</span> We have observed that patients on OL-HDF had less fat but we have not observed differences in the state of hydration&#44; the control of blood pressure&#44; the needs of erythropoiesis-stimulating agents or nutritional parameters&#46;</p><p class="elsevierStylePara">Finally&#44; the greater prevalence of inflammation in CRF patients has been related to an increase in the expression of the leptin gene&#46;<span class="elsevierStyleSup">38</span> In our experience&#44; the inflammation measured by CRP is directly related to the increase in body fat and the BMI&#44; and inversely related to adiponectin levels&#46; We did not find a relationship between inflammatory markers and the extracellular volume as some studies suggested&#46;<span class="elsevierStyleSup">12&#44;39</span> Approximately 21&#37; of our HD patients were overhydrated before dialysis&#44; which is similar to the prevalence in other hospitals with a similar policy to ours concerning ideal weight&#46;<span class="elsevierStyleSup">40</span> We found no differences in lean mass or FM between OH and non-OH patients&#46;</p><p class="elsevierStylePara">We conclude that overweight in HD patients has a high prevalence &#40;50&#37;&#41; and that the different HD techniques are associated to differences in body composition&#46;</p><p class="elsevierStylePara">Our findings suggest that&#44; in addition to restricting water and salt&#44; we should recommend physical exercise to our patients&#46;</p><p class="elsevierStylePara">The OL-HDF technique could reduce one of the factors of cardiovascular risk&#58; overweight due to increased body FM&#46;</p><p class="elsevierStylePara">Bioimpedance allows continuous assessment of the different parameters of body composition and it may prove to be a valuable ally for decisions regarding weight changes in dialysis patients&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Acknowledgements</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">We would like to thank Fresenius Medical Care for supplying the bioimpedance unit and financing the determinations of the adipokines&#46;</p><p class="elsevierStylePara">We also would like to thank Dr Fernando Garc&#237;a L&#243;pez for his help reviewing this paper&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Conflicts of interest</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">The authors affirm that they have no conflicts of interest related to the content of this article&#46;</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31750&#95;en&#95;f1&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31750_en_f1_11219.jpg" alt="Distribution of the state of normalised overhydration for extracellular water&#46;"></img></a></p><p class="elsevierStylePara">Figure 1&#46; Distribution of the state of normalised overhydration for extracellular water&#46;</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31751&#95;en&#95;f2&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31751_en_f2_11219.jpg" alt="Correlation &#40;Pearson&#41; between body mass index and total fat in 77 haemodialysis patients&#46;"></img></a></p><p class="elsevierStylePara">Figure 2&#46; Correlation &#40;Pearson&#41; between body mass index and total fat in 77 haemodialysis patients&#46;</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31752&#95;en&#95;t1&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31752_en_t1_11219.jpg" alt="Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients according to their BMI "></img></a></p><p class="elsevierStylePara">Table 1&#46; Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients according to their BMI </p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31753&#95;en&#95;t2&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31753_en_t2_11219.jpg" alt="Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients depending on the haemodialysis technique "></img></a></p><p class="elsevierStylePara">Table 2&#46; Clinical characteristics&#44; levels of adipokines&#44; nutritional and inflammatory markers and analysis of body composition of patients depending on the haemodialysis technique </p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31754&#95;en&#95;t3&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31754_en_t3_11219.jpg" alt="Bivariate correlation between body mass index and the study variables"></img></a></p><p class="elsevierStylePara">Table 3&#46; Bivariate correlation between body mass index and the study variables</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31755&#95;en&#95;t4&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31755_en_t4_11219.jpg" alt="Binary correlation &#40;Pearson&#41; between lean mass and nutritional markers"></img></a></p><p class="elsevierStylePara">Table 4&#46; Binary correlation &#40;Pearson&#41; between lean mass and nutritional markers</p><p class="elsevierStylePara"><a href="grande&#47;11219&#95;16025&#95;31756&#95;en&#95;t5&#95;11219&#46;jpg" class="elsevierStyleCrossRefs"><img src="11219_16025_31756_en_t5_11219.jpg" alt="Univariate and multivariate multiple linear logistic regression analysis&#58; possible predictive factors of overweight"></img></a></p><p class="elsevierStylePara">Table 5&#46; Univariate and multivariate multiple linear logistic regression analysis&#58; possible predictive factors of overweight</p>"
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        "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Introducci&#243;n</span><span class="elsevierStyleBold">&#58;</span> El sobrepeso y la obesidad se asocian a un mayor riesgo cardiovascular y mayor mortalidad en la poblaci&#243;n general&#44; y existen datos controvertidos en la poblaci&#243;n en di&#225;lisis&#46; Las adipoquinas &#40;leptina&#44; adiponectina&#41; producidas en los adipocitos podr&#237;an jugar un papel en dicho proceso&#44; as&#237; como los par&#225;metros inflamatorios &#40;prote&#237;na C reactiva &#91;PCR&#93;&#44; interleuquina 6 &#91;IL-6&#93;&#41; pueden ser marcadores del mismo&#46; Por otro lado&#44; alcanzar el peso seco es hoy uno de los principales objetivos de adecuaci&#243;n en di&#225;lisis porque la sobrehidrataci&#243;n s&#237; es un claro predictor de mortalidad&#46; El<span class="elsevierStyleBold"> objetivo</span> de este trabajo es analizar la composici&#243;n corporal mediante la t&#233;cnica de bioimpedancia espectrosc&#243;pica&#160;en pacientes en hemodi&#225;lisis &#40;HD&#41;&#44; evaluar la prevalencia de sobrepeso y sobrehidrataci&#243;n y su posible relaci&#243;n con adipoquinas&#44; par&#225;metros inflamatorios y nutricionales&#44; t&#233;cnica de HD &#40;convencional &#91;HDC&#93;&#44; hemodiafiltraci&#243;n <span class="elsevierStyleItalic">on line</span> &#91;HDF-OL&#93;&#41; y necesidades de eritropoyetina&#46; <span class="elsevierStyleBold">M&#233;todos</span><span class="elsevierStyleBold">&#58;</span> En un estudio observacional transversal&#44; se ha realizado una bioimpedancia espectrosc&#243;pica pre-HD en mitad de la semana a 77 pacientes en HD extrahospitalaria&#58; 56 HDC y 21 HDF-OL&#46; Se considera sobrepeso cuando el &#237;ndice de masa corporal &#40;IMC&#41; es &#8805; 25 kg&#47;m&#178; y sobrehidrataci&#243;n cuando &#233;sta normalizada al agua extracelular es superior a 0&#44;15&#46; Se han analizado los par&#225;metros cl&#237;nicos y bioqu&#237;micos y se ha determinado IL-6&#44; leptina y adiponectina&#46; Se han comparado estos datos entre los pacientes con y sin sobrepeso&#44; normo y sobrehidratados y con ambas t&#233;cnicas de HD&#46; <span class="elsevierStyleBold">Resultados</span><span class="elsevierStyleBold">&#58;</span> El 50&#37; de los pacientes cumplen criterios de sobrepeso y el 21&#37; est&#225;n sobrehidratados pre-HD&#46; Los pacientes con sobrepeso tienen una proporci&#243;n de grasa y agua extracelular superior &#40;p &#60; 0&#44;001&#41;&#46; Los niveles de leptina &#40;p &#61; 0&#44;001&#41; y de PCR &#40;p &#61; 0&#44;036&#41; son m&#225;s elevados&#44; y los de adiponectina&#44; m&#225;s reducidos &#40;p &#61; 0&#44;003&#41;&#46; Existe correlaci&#243;n inversa entre el IMC y la masa&#160;magra &#40;p &#61; 0&#44;01&#41;&#46; Los marcadores nutricionales &#40;prealb&#250;mina&#44; alb&#250;mina&#44; prote&#237;nas totales&#44; creatinina y transferrina&#41; guardan relaci&#243;n con la masa magra &#40;p &#61; 0&#44;05&#41;&#46; Al comparar las dos t&#233;cnicas de HD&#44; se observa menor proporci&#243;n de grasa en la HDF-OL &#40;p &#61; 0&#44;049&#41; sin diferencias en el grado de sobrehidrataci&#243;n&#46; En el an&#225;lisis univariante&#44; la edad&#44; la grasa&#44; el cociente agua extracelular&#47;intracelular&#44; la leptina&#44; la hipoadectinemia&#44; la menor masa muscular y la t&#233;cnica de HDC fueron predictores de sobrepeso&#46; En el an&#225;lisis multivariante&#44; la hipoadectinemia &#40;<span class="elsevierStyleItalic">odds ratio </span>&#91;OR&#93;&#58; 0&#44;86&#59; intervalo de confianza &#91;IC&#93;&#58; 0&#44;76-0&#44;98&#41;&#44; la masa muscular &#40;OR&#58; 0&#44;89&#59; IC&#58; 0&#44;84-0&#44;94&#41; y la t&#233;cnica de HDF-OL &#40;OR&#58; 0&#44;20&#59; IC&#58; 0&#44;04-0&#44;99&#41; predicen la ausencia de sobrepeso&#46; <span class="elsevierStyleBold">Conclusi&#243;n&#58;</span>&#160;Este estudio observacional subraya la alta prevalencia de sobrepeso en la poblaci&#243;n en HD extrahospitalaria y el hecho de que &#233;ste est&#225; en relaci&#243;n con la grasa y el agua extracelular&#46; Adem&#225;s&#44; se acompa&#241;a de&#160;mayor inflamaci&#243;n y de niveles superiores de leptina e inferiores de adiponectina&#46; La utilizaci&#243;n de la t&#233;cnica de HDF-OL se asocia a menor sobrepeso por menor proporci&#243;n de grasa&#46; La bioimpedancia puede ser un arma m&#225;s en el proceso de toma de decisiones ante los cambios de peso de los pacientes en di&#225;lisis&#46;</p>"
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        "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Introduction&#58;</span> Overweight and obesity are associated to a higher cardiovascular risk and mortality in the general population and conflicting findings exist in the dialysis population&#46; Adipokines &#40;Leptin&#44; adiponectin&#41; produced in adipocytes may play a role in that process&#44; and inflammatory parameters &#40;CRP&#44; IL-6&#41; may be markers for it&#46; Nevertheless&#44; obtaining dry weight is today one of the main aims of adequacy in dialysis because overhydration is a clear mortality predictor&#46; <span class="elsevierStyleBold">Objectives&#58;</span>&#160;The aim of this study was to analyse body composition using an impedance spectroscopy technique in patients on haemodialysis &#40;HD&#41;&#58; and evaluate overweight and overhydration prevalence and its possible relation with adipokines&#44; inflammatory and nutritional parameters&#44; HD technique &#40;Conventional &#91;CHD&#93;&#44; on-line haemodiafiltration &#91;OL-HFD&#93;&#41; and erythropoietin needs&#46; <span class="elsevierStyleBold">Methods&#58;</span> In a cross-sectional observational study&#44; a pre-HD multifrequency bioimpedance spectroscopy &#40;BIS&#41; was performed in the middle of the week on 77 HD outpatients&#58; 56 CHD and 21 OL-HFD&#46; Patients were considered overweight when Body Mass Index &#40;BMI&#41; was &#8805;25kg&#47;m&#178; and overhydrated when overhydration normalised for extracellular water was higher than 0&#46;15l&#46; Clinical and biochemical parameters were analysed and IL-6&#44; leptin and adiponectin levels were determined&#46; This information was analysed in overweight and non-overweight&#44; regular and overhydrated patients and both HD techniques&#46; <span class="elsevierStyleBold">Results&#58;</span> 50&#37; of patients fulfilled overweight criteria and 21&#37; were pre-HD overhydrated&#46; Overweight patients had a superior fat and extracellular water&#160;content &#40;<span class="elsevierStyleItalic">P</span>&#60;&#46;001&#41;&#46; Leptin &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;001&#41; and CRP &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;036&#41; levels were higher and adiponectin levels were lower &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;003&#41;&#46; An inverse correlation did exist between BMI and&#160;lean mass &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;01&#41;&#46; Nutritional markers &#40;prealbumin&#44; albumin&#44; total proteins&#44; creatinine and transferrin&#41; were related to&#160;lean mass &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;05&#41;&#46; Comparing both HD techniques&#44; a lower fat content was observed in OL-HFD &#40;<span class="elsevierStyleItalic">P</span>&#61;&#46;049&#41; without overhydration differences&#46; In the univariate analysis&#44; age&#44; fat&#44; extracellular&#47;intracellular water ratio&#44; leptin&#44; hipoadiponectinaemia&#44; lower&#160;lean mass and CHD technique were predictors of overweight&#46; In the multivariate analysis&#44; hipoadiponectinaemia &#40;OR&#58; 0&#46;86&#59; IC&#58; 0&#46;76-0&#46;98&#41;&#44;&#160;lean mass &#40;OR&#58; 0&#46;89&#59; IC&#58; 0&#46;84-0&#46;94&#41; and OL-HFD technique &#40;OR&#58; 0&#46;200&#59; IC&#58; 0&#46;04-0&#46;99&#41; predicted the absence of overweight&#46; <span class="elsevierStyleBold">Conclusion&#58;</span> This observational study emphasises the high prevalence of overweight in the outpatient haemodialysis population&#44; as long as overweight is related with fat and extracellular water&#46; Furthermore&#44; it is accompanied by higher inflammation and leptin levels and lower levels of adiponectin&#46; The use of the OL-HFD technique is associated to less overweight and fat content&#46; Bioimpedance may prove to be a valuable ally for decisions regarding weight changes in dialysis patients&#46;</p>"
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