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Abad, G. Sotomayor, A. Vega, A. Pérez de José, U. Verdalles, R. Jofré, J.M. López-Gómez" "autores" => array:7 [ 0 => array:3 [ "Iniciales" => "S." "apellidos" => "Abad" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 1 => array:3 [ "Iniciales" => "G." "apellidos" => "Sotomayor" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 2 => array:3 [ "Iniciales" => "A." "apellidos" => "Vega" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 3 => array:3 [ "Iniciales" => "A." "apellidos" => "Pérez de José" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 4 => array:3 [ "Iniciales" => "U." "apellidos" => "Verdalles" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 5 => array:3 [ "Iniciales" => "R." "apellidos" => "Jofré" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 6 => array:4 [ "Iniciales" => "J.M." "apellidos" => "López-Gómez" "email" => array:1 [ 0 => "juanmlopez@senefro.org" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] ] "afiliaciones" => array:1 [ 0 => array:3 [ "entidad" => "Servicio de Nefrología, Hospital Universitario Gregorio Marañón, Madrid, " "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El ángulo de fase de la impedancia eléctrica es un predictor de supervivencia a largo plazo en pacientes en diálisis" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig1" "etiqueta" => "Tab. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25122_en_t1_10999i.jpg" "Alto" => 538 "Ancho" => 600 "Tamanyo" => 206752 ] ] "descripcion" => array:1 [ "en" => "Clinical and analytical features of patients" ] ] ] "textoCompleto" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">INTRODUCTION</span></p><p class="elsevierStylePara">Protein-calorie malnutrition is a risk factor for mortality in dialysis patients.<span class="elsevierStyleSup">1,2</span> However, its clinical assessment is not well defined. The subjective global assessment has been widely studied in these patients and found to be associated with mortality.<span class="elsevierStyleSup">3,4</span> Another of the most widely used parameters is body mass index (BMI) which, in patients on haemodialysis (HD), has a reverse epidemiology; indeed, in large series, patients with a higher BMI have increased survival, which does not happen in the general population.<span class="elsevierStyleSup">5,6</span></p><p class="elsevierStylePara">Bioelectrical impedance analysis (BIA) has been widely used in the evaluation of body composition in dialysis patients.<span class="elsevierStyleSup">7-10</span> Its application is based on the resistance the body offers to the passage of an alternating electric current, and it has 2 vector components: resistance and reactance. The first determines the tissue hydration status, as water is an excellent conductor, such that the higher the water content, the less the resistance. Therefore, tissues with plenty of water (e.g., muscle) can be discriminated from those containing small quantities of water (e.g., fat and bone). The second component is reactance or capacitance, which determines the amount of energy that can be accumulated in tissue, as tissue cells behave as true capacitors. The vector sum of both components is the impedance and the angle it forms is called the phase angle. This variable has been related to the nutritional status of patients on HD.<span class="elsevierStyleSup">3,6</span></p><p class="elsevierStylePara">The aim of this study was to analyse the relationship between the phase angle determined at 50kHz with various nutritional parameters, and study its value as a predictor of long-term mortality in a sample of patients on dialysis.</p><p class="elsevierStylePara"><span class="elsevierStyleBold">PATIENTS AND METHODS</span></p><p class="elsevierStylePara">A prospective observational study, with a 6-year follow-up, of 164 patients on dialysis, including 127 on HD and 37 on peritoneal dialysis. The mean patient age was 61.1±14.5 years, of whom 99 were male (60.3%). The etiology of chronic kidney disease included 23.2% diabetes mellitus, 27.9% glomerulonephritis, 17.0% tubulointerstitial nephritis, 7.0% vascular nephritis, 7.0% of unknown etiology and 10.0% from other causes. The prevalence of diabetes mellitus in all patients was 32.2% and 54 patients had undergone a previous kidney transplant. The comorbidity of the patients was determined by the age-adjusted Charlson index.</p><p class="elsevierStylePara">At baseline, a multi-frequency BIA was conducted in all cases using a Bioscan system (Biológica, Tecnología Médica S.L., La Garriga, Spain) between January 2002 and October 2003, with the study being terminated in December 2009. The measurement was performed before a HD session in the middle of the week, after spending 10 minutes supine, with 4 conventional electrodes placed 2-by-2 in the hand and foot contralateral to vascular access. The bioimpedance analyser determined the resistance, reactance and phase angle at 10 different AC frequencies, ranging from 5 to 500kHz.</p><p class="elsevierStylePara">When performing the bioimpedance analysis, all patients were on conventional HD, lasting between 3.5 and 4 hours. Throughout the study, there were technical changes, including on-line progressive haemodiafiltration and increases in the session times. Patients on peritoneal dialysis were examined with the stomach empty and the same time in supine position. The data collected were resistance, reactance and phase angle at 50kHz (PA50), as it was the maximum phase angle frequency for most patients. This was the only frequency used to analyse the rest of the parameters. The total body water (TBW), intracellular water (ICW), extracellular water (ECW), fat mass (FM) and fat-free mass (FFM) were calculated by the system software. These parameters were adjusted on a percentage basis to estimated body weight of each patient. Also personal data, analytical data were collected according to conventional techniques and anthropometric parameters. For patients on HD, the interdialytic weight gain was calculated as the average of 3 weekly sessions.</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Statistical analysis </span></p><p class="elsevierStylePara">Quantitative variables were expressed as mean and standard deviation and qualitative variables as percentages. The comparisons between means were performed using Student's t-test or the analysis of variance. Comparisons between quantitative variables were performed using the chi-squared analysis. Bivariate correlations were performed by calculating the Pearson or Spearman coefficient according to the type of variable. The Kolmogorov-Smirnov test was used to analyse for normal distribution of a variable. Survival analysis was performed using the Kaplan-Meier test and statistical significance calculated by the log-rank test. The Cox test was used with different models for the multivariate analysis which included significant variables in the univariate analysis. A <span class="elsevierStyleItalic">P</span><.05 value was considered significant. The package SPSS version 18.0 (SPSS, Chicago, Illinois, USA) was used for the statistical analysis.</p><p class="elsevierStylePara"><span class="elsevierStyleBold">RESULTS</span></p><p class="elsevierStylePara">The initial clinical and analytical features of patients are shown in Table 1. Table 2 shows the results of the baseline parameters calculated by BIA at 50kHz. A bivariate correlation analysis was conducted between PA50 and the continuous variables analysed, with the results shown in Table 3. The significant relationship between nutritional parameters determined by BIA and serum albumin is worth noting, as well as the direct relationship between the intracellular and extracellular water content adjusted to the dry weight of the patient. However, there was no significant relationship between PA50 and some inflammation parameters, such as C-reactive protein, serum fibrinogen or serum ferritin.</p><p class="elsevierStylePara">The mean PA50 was 7.8±1.2° (range, 5-14°). The patients were divided into 3 groups according to the PA50: a) 19 patients with PA50 of 5-6°, b) 106 patients with PA50 7-8°, and c) 39 patients with PA50>8°. The mean values were 5.7±0.4°, 7.5±0.5° and 9.5±1.1°, respectively (<span class="elsevierStyleItalic">P</span><.001). After 6 years, the mean follow-up was 3.1±2.0 years: 100 patients (61%) had died, 22 (13.4%) had undergone transplantation, 4 (2.4%) were removed due to transfer to another centre, 36 (22%) remained on HD and 2 (1.2%) were on peritoneal dialysis. The Kaplan-Meier survival analysis showed that the group with the highest PA50 had significantly better survival than the remaining 2 (log-rank 14.9, <span class="elsevierStyleItalic">P</span><.001), which is shown in Figure 1. The percentage AEC, FFM ICW, TBW and MG parameters among the 3 groups obtained from PA50 measurements were compared. The group with the greatest PA50 was the youngest and had a significantly higher FFM, ICW and TBW content, but lower MG (Table 4).</p><p class="elsevierStylePara">The BIA variables related to mortality in the univariate analysis showed that the percentage MG was associated with an increased risk of mortality (<span class="elsevierStyleItalic">P=</span>.003), while the percentage FFM (<span class="elsevierStyleItalic">P</span>=.003), percentage ICW (<span class="elsevierStyleItalic">P</span>=.044) and PA50>8° (<span class="elsevierStyleItalic">P=</span>.005) were associated with lower risk. The Cox multivariate analysis (Table 5) was performed with a model that included the above variables and body composition and, when adjusted for comorbidity by the Charlson index including age, the only independent risk factors for mortality were PA50<8° (<span class="elsevierStyleItalic">P=</span>.003) and comorbidity itself (<span class="elsevierStyleItalic">P<</span>.001).</p><p class="elsevierStylePara">Table 6 shows the data analysed according to the dialysis modality of patients at the time of the study. It is notable that peritoneal dialysis patients were younger (<span class="elsevierStyleItalic">P<</span>.001), had increased extracellular hydration status (<span class="elsevierStyleItalic">P=</span>.036), a greater PA50 (<span class="elsevierStyleItalic">P=</span>.004), a higher proportion of lean tissue (<span class="elsevierStyleItalic">P<</span>.001) and a lower proportion of fat (<span class="elsevierStyleItalic">P<</span>.001).</p><p class="elsevierStylePara"><span class="elsevierStyleBold">DISCUSSION</span></p><p class="elsevierStylePara">Our study prospectively confirms that the BIA phase angle measured at 50kHz is associated with nutritional status, as described by other authors,<span class="elsevierStyleSup">11,12</span> and is also an independent risk factor for long-term mortality. Recently, Segall et al. reported that a PA50<6° has a relative risk of mortality per year of 4.1 compared to those who have a higher PA50.<span class="elsevierStyleSup">3</span> Our data demonstrate that this predictor effect remains at 6 years of follow-up, although with a slightly higher cut-off value.</p><p class="elsevierStylePara">BIA has been used in assessing the nutritional status of patients on dialysis for more than two decades.<span class="elsevierStyleSup">7,13,14</span> One of its most important components is the phase angle, which is the resultant vector of resistance and reactance. The former mainly reflects the patient's hydration status: such that the higher the water content, the lower the resistance; and, in the same individual, the greater the water loss, the greater the increase in resistance. Thus, the length of the vector, which is mainly due to the resistance, has been used as a procedure to assess ultrafiltration needs in HD.<span class="elsevierStyleSup">15,16</span> The reactance represents the ability of tissues to accumulate energy, since the cells have a similar electrical behaviour to a capacitor, such that the greater the number of cells, the greater the reactance.</p><p class="elsevierStylePara">Multi-frequency BI analysers can determine the 3 components: resistance, reactance and phase angle over a wide range of frequencies, which vary according to the manufacturer between 1 and 1000kHz. Typically, the single-frequency systems are set to make a single measurement at 50kHz, due to the phase angle being the maximum at this frequency.<span class="elsevierStyleSup">17</span> As a result, this frequency only was chosen for this study, without considering any others.</p><p class="elsevierStylePara">The water content in the body depends physiologically on the amount of fatty tissue it contains.<span class="elsevierStyleSup">18</span> Therefore, it is usually necessary to have reference values for a similar population to the one analysed. Fat content varies physiologically with sex (women have more fat and less water), age (older people have more fat and less water)<span class="elsevierStyleSup">14 </span>and nutritional status (the fatter the person, the lower the water content). In general, bioimpedance analysers come with software which is based on validated formulas to calculate hydration and body composition parameters. These data are individualised on the basis of sex,<span class="elsevierStyleSup">16,17</span> but theoretically should also be based on age, nutritional status or even race.<span class="elsevierStyleSup">19</span></p><p class="elsevierStylePara">To avoid bias due to body composition, in this study we used the raw impedance data as a primary variable, with special emphasis on the phase angle as a combined result of resistance and reactance. Thus, it was not necessary to consider normal reference parameters. However, we also analysed parameters provided by the software system as secondary variables.</p><p class="elsevierStylePara">It is worth noting that the determination of the phase angle varies from one series to another, probably because of the type of BI analyser used. The mean obtained in our study is higher than that found by other authors, although our results also confirm that there is a strong relationship between nutritional status and phase angle.<span class="elsevierStyleSup">3</span></p><p class="elsevierStylePara">Numerous studies show a strong relationship between nutritional status assessed by bioelectrical impedance techniques and inflammation status, as well as its effect on survival for patients on dialysis.<span class="elsevierStyleSup">20-22</span> However, other authors report that the state of malnutrition may be a risk factor for mortality independent of inflammation.<span class="elsevierStyleSup">23</span> Our results show that PA50 has a strong correlation with nutritional parameters; however, it is not associated with inflammation parameters such as ferritin or fibrinogen, and has only a weakly significant relationship with the logarithm of C-reactive protein.</p><p class="elsevierStylePara">Although many authors evaluate nutritional status using body mass index (BMI), our study shows that it is necessary to differentiate between those with a high index of fat-free mass and those with a very low fat-free mass, even if they have a high BMI. The first group is associated with a high PA50 and has significantly better survival than the latter. These data have similar results to those described recently by Kalantar-Zadeh et al., who established the need to differentiate the various components of body composition to assess any prognostic effect.<span class="elsevierStyleSup">5</span></p><p class="elsevierStylePara">Table 4 shows how the subgroup of patients with the highest PA50 also has higher ICW and TBW percentages, as well as a higher content of fat-free mass. Therefore, these data show that patients with the highest PA50 have more muscle tissue and ICW, while the fat contains very little ICW. Therefore, the assessment of TBW has little meaning without knowing the total body composition.<span class="elsevierStyleSup">18</span></p><p class="elsevierStylePara">We recorded the interdialytic weight gain in the patients studied as the mean of 3 weekly sessions, and found a good correlation with nutritional status and age. These data corroborate previous findings, which found that this parameter is associated with greater survival, confirming the importance of nutrition in dialysis patients.<span class="elsevierStyleSup">24</span></p><p class="elsevierStylePara">The study included patients with 2 dialysis modalities. Although it was not a primary aim to compare the characteristics of patients in both techniques, Table 6 shows the characteristics of both groups. It is worth noting that the peritoneal dialysis patients have better nutritional status with higher levels of lean mass and less fat. They also have a significantly lower Charlson index comorbidity, but with a greater extracellular hydration status, as has been noted before.<span class="elsevierStyleSup">25</span> However, the most noticeable finding is the age difference between both groups, as usually happens, which largely determines nutrition, comorbidity, and body composition, and detracts from the comparison between both techniques.</p><p class="elsevierStylePara">In conclusion, our study shows that the gross parameters obtained by BIA at a frequency of 50kHz correlate well with nutritional parameters, with PA50 especially being a good marker of survival in dialysis patients. However, intervention studies are needed to demonstrate if improvement in BIA parameters is associated with greater survival.</p><p class="elsevierStylePara"><a href="grande/10999_108_25122_en_t1_10999i.jpg" class="elsevierStyleCrossRefs"><img src="10999_108_25122_en_t1_10999i.jpg" alt="Clinical and analytical features of patients"></img></a></p><p class="elsevierStylePara">Table 1. Clinical and analytical features of patients</p><p class="elsevierStylePara"><a href="grande/10999_108_25123_en_t2_10999i.jpg" class="elsevierStyleCrossRefs"><img src="10999_108_25123_en_t2_10999i.jpg" alt="Parameters determined by bioelectrical impedance at 50kHz"></img></a></p><p class="elsevierStylePara">Table 2. Parameters determined by bioelectrical impedance at 50kHz</p><p class="elsevierStylePara"><a href="grande/10999_108_25124_en_t3_10999i.jpg" class="elsevierStyleCrossRefs"><img src="10999_108_25124_en_t3_10999i.jpg" alt="Analysis of bivariate correlation between the phase angle measured at 50kHz and analytical nutrition, anthropometric and bioimpedance parameters"></img></a></p><p class="elsevierStylePara">Table 3. Analysis of bivariate correlation between the phase angle measured at 50kHz and analytical nutrition, anthropometric and bioimpedance parameters</p><p class="elsevierStylePara"><a href="grande/10999_108_25125_en_t410999i.jpg" class="elsevierStyleCrossRefs"><img src="10999_108_25125_en_t410999i.jpg" alt="Group features according to the phase angle at 50kHz"></img></a></p><p class="elsevierStylePara">Table 4. Group features according to the phase angle at 50kHz</p><p class="elsevierStylePara"><a href="grande/10999_108_25126_en_t510999i.jpg" class="elsevierStyleCrossRefs"><img src="10999_108_25126_en_t510999i.jpg" alt="Multivariate analysis of the mortality risk factors"></img></a></p><p class="elsevierStylePara">Table 5. Multivariate analysis of the mortality risk factors</p><p class="elsevierStylePara"><a href="grande/10999_108_25127_en_t610999i.jpg" class="elsevierStyleCrossRefs"><img src="10999_108_25127_en_t610999i.jpg" alt="Clinical and bioelectrical impedance features of patients on haemodialysis and peritoneal dialysis"></img></a></p><p class="elsevierStylePara">Table 6. Clinical and bioelectrical impedance features of patients on haemodialysis and peritoneal dialysis</p><p class="elsevierStylePara"><a href="grande/10999_108_25128_en_f1_10999i.jpg" class="elsevierStyleCrossRefs"><img src="10999_108_25128_en_f1_10999i.jpg" alt="Phase angle"></img></a></p><p class="elsevierStylePara">Figure 1. Phase angle</p>" "pdfFichero" => "P1-E528-S3198-A10999-EN.pdf" "tienePdf" => true "PalabrasClave" => array:2 [ "es" => array:6 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec439349" "palabras" => array:1 [ 0 => "Mortalidad" ] ] 1 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec439351" "palabras" => array:1 [ 0 => "Diálisis peritoneal" ] ] 2 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec439353" "palabras" => array:1 [ 0 => "Hemodiálisis" ] ] 3 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec439355" "palabras" => array:1 [ 0 => "Nutrición" ] ] 4 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec439357" "palabras" => array:1 [ 0 => "Bioimpedancia" ] ] 5 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec439359" "palabras" => array:1 [ 0 => "Ángulo de fase" ] ] ] "en" => array:6 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec439350" "palabras" => array:1 [ 0 => "Mortality" ] ] 1 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec439352" "palabras" => array:1 [ 0 => "Peritoneal dialysis" ] ] 2 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec439354" "palabras" => array:1 [ 0 => "Hemodialysis" ] ] 3 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec439356" "palabras" => array:1 [ 0 => "Nutrition" ] ] 4 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec439358" "palabras" => array:1 [ 0 => "Bioimpedance" ] ] 5 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec439360" "palabras" => array:1 [ 0 => "Phase angle" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "es" => array:1 [ "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Introducción: </span>La malnutrición calórico-proteica es un factor de riesgo de mortalidad en pacientes en diálisis, sin embargo, su valoración clínica no ha sido bien definida. La bioimpedancia eléctrica (BIE) es un procedimiento no invasivo y objetivo, cada vez más empleado en su valoración. <span class="elsevierStyleBold">Objetivo: </span>El objetivo de este estudio es analizar la relación entre el ángulo de fase determinado por BIE a una frecuencia de 50 kHz (AF50) con otros parámetros de nutrición y valorar prospectivamente su capacidad como marcador pronóstico de mortalidad a largo plazo. <span class="elsevierStyleBold">Pacientes y métodos: </span>Incluimos a 164 pacientes, 127 en hemodiálisis y 37 en diálisis peritoneal, a los que se les realiza un análisis de BIE al tiempo que se solicitan parámetros de inflamación y nutrición y se calcula el índice de comorbilidad de Charlson. <span class="elsevierStyleBold">Resultados: </span>En el análisis de correlación lineal, encontramos que el AF50 tiene una asociación directa con la masa magra, con el agua intracelular, con el agua extracelular y con la ganancia de peso interdiálisis, mientras que se asocia de forma inversa con la edad, con la masa grasa y con el log PCR. Los pacientes con AF50 >8º presentan un mejor estado nutricional, son más jóvenes y tienen una supervivencia significativamente mejor a los seis años de seguimiento. Entre los pacientes estudiados, tanto el AF50 como el resto de los parámetros de composición corporal son mejores en diálisis peritoneal que en hemodiálisis, pero estas diferencias pueden ser atribuidas a que los primeros son más jóvenes. En el análisis multivariable, sólo el AF50 <8º y la comorbilidad ajustada para la edad persisten como factores de riesgo independientes de mortalidad.<span class="elsevierStyleBold"> Conclusiones:</span> Concluimos que el AF50 tiene una buena correlación con los parámetros de nutrición y que es un buen marcador de supervivencia en pacientes en diálisis. No obstante, son necesarios estudios de intervención en los que se demuestre si la mejoría de los parámetros de BIE se acompaña de una mayor supervivencia.</p>" ] "en" => array:1 [ "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Introduction: </span>Protein-energy malnutrition is a risk factor for mortality in dialysis patients; however, its clinical assessment has not been well defined. Electrical bioimpedance (EBI) is a non-invasive and objective procedure, which is increasingly being used for this assessment.<span class="elsevierStyleBold"> Objective: </span>The aim of this study is to analyse the relationship between the phase angle determined by EBI at a frequency of 50kHz (AF50) and other nutritional parameters, and prospectively evaluate its ability as a marker for long-term mortality. <span class="elsevierStyleBold">Patients and methods: </span>We included 164 patients (127 on haemodialysis and 37 on peritoneal dialysis) who underwent an EBI analysis while simultaneously determining inflammation and nutrition parameters. The Charlson comorbidity index was then calculated. <span class="elsevierStyleBold">Results: </span>In the linear correlation analysis, we found that the AF50 had a direct association with lean mass, intracellular water, extracellular water and interdialytic weight gain, while having an inverse association with age and fat mass. Patients with AF50 >8º had a better nutritional status, were younger and had significantly longer survival at the six-year follow-up. Among the patients studied, both the AF50 and the other body composition parameters were better in peritoneal dialysis than in haemodialysis, but these differences may be attributable to the fact that the first patients were younger. In the multivariate analysis, only the AF50 <8º and comorbidity adjusted for age persisted as independent risk factors for mortality. <span class="elsevierStyleBold">Conclusions:</span> We conclude that AF50 has a good correlation with nutritional parameters and is a good marker of survival in dialysis patients. Nevertheless, intervention studies are needed to demonstrate if the improvement in EBI parameters is associated with better survival.</p>" ] ] "multimedia" => array:7 [ 0 => array:8 [ "identificador" => "fig1" "etiqueta" => "Tab. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25122_en_t1_10999i.jpg" "Alto" => 538 "Ancho" => 600 "Tamanyo" => 206752 ] ] "descripcion" => array:1 [ "en" => "Clinical and analytical features of patients" ] ] 1 => array:8 [ "identificador" => "fig2" "etiqueta" => "Tab. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25123_en_t2_10999i.jpg" "Alto" => 370 "Ancho" => 600 "Tamanyo" => 132012 ] ] "descripcion" => array:1 [ "en" => "Parameters determined by bioelectrical impedance at 50kHz" ] ] 2 => array:8 [ "identificador" => "fig3" "etiqueta" => "Tab. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25124_en_t3_10999i.jpg" "Alto" => 416 "Ancho" => 600 "Tamanyo" => 158461 ] ] "descripcion" => array:1 [ "en" => "Analysis of bivariate correlation between the phase angle measured at 50kHz and analytical nutrition, anthropometric and bioimpedance parameters" ] ] 3 => array:8 [ "identificador" => "fig4" "etiqueta" => "Tab. 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25125_en_t410999i.jpg" "Alto" => 202 "Ancho" => 600 "Tamanyo" => 101619 ] ] "descripcion" => array:1 [ "en" => "Group features according to the phase angle at 50kHz" ] ] 4 => array:8 [ "identificador" => "fig5" "etiqueta" => "Tab. 5" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25126_en_t510999i.jpg" "Alto" => 103 "Ancho" => 600 "Tamanyo" => 56516 ] ] "descripcion" => array:1 [ "en" => "Multivariate analysis of the mortality risk factors" ] ] 5 => array:8 [ "identificador" => "fig6" "etiqueta" => "Tab. 6" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25127_en_t610999i.jpg" "Alto" => 268 "Ancho" => 600 "Tamanyo" => 116898 ] ] "descripcion" => array:1 [ "en" => "Clinical and bioelectrical impedance features of patients on haemodialysis and peritoneal dialysis" ] ] 6 => array:8 [ "identificador" => "fig7" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "10999_108_25128_en_f1_10999i.jpg" "Alto" => 460 "Ancho" => 600 "Tamanyo" => 135050 ] ] "descripcion" => array:1 [ "en" => "Phase angle" ] ] ] "bibliografia" => array:2 [ "titulo" => "Bibliography" "seccion" => array:1 [ 0 => array:1 [ "bibliografiaReferencia" => array:25 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:3 [ "referenciaCompleta" => "Acchiardo SR, Moore LW, Latour PA. 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Year/Month | Html | Total | |
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2024 November | 5 | 14 | 19 |
2024 October | 72 | 71 | 143 |
2024 September | 84 | 49 | 133 |
2024 August | 103 | 75 | 178 |
2024 July | 79 | 63 | 142 |
2024 June | 78 | 58 | 136 |
2024 May | 113 | 52 | 165 |
2024 April | 83 | 55 | 138 |
2024 March | 78 | 38 | 116 |
2024 February | 76 | 39 | 115 |
2024 January | 72 | 38 | 110 |
2023 December | 72 | 39 | 111 |
2023 November | 88 | 56 | 144 |
2023 October | 66 | 34 | 100 |
2023 September | 56 | 62 | 118 |
2023 August | 55 | 23 | 78 |
2023 July | 64 | 35 | 99 |
2023 June | 103 | 57 | 160 |
2023 May | 136 | 70 | 206 |
2023 April | 78 | 43 | 121 |
2023 March | 101 | 40 | 141 |
2023 February | 86 | 41 | 127 |
2023 January | 62 | 35 | 97 |
2022 December | 71 | 36 | 107 |
2022 November | 94 | 41 | 135 |
2022 October | 91 | 44 | 135 |
2022 September | 145 | 55 | 200 |
2022 August | 104 | 72 | 176 |
2022 July | 193 | 62 | 255 |
2022 June | 95 | 78 | 173 |
2022 May | 94 | 59 | 153 |
2022 April | 106 | 81 | 187 |
2022 March | 128 | 74 | 202 |
2022 February | 93 | 73 | 166 |
2022 January | 71 | 47 | 118 |
2021 December | 84 | 50 | 134 |
2021 November | 100 | 69 | 169 |
2021 October | 76 | 63 | 139 |
2021 September | 67 | 55 | 122 |
2021 August | 76 | 56 | 132 |
2021 July | 67 | 41 | 108 |
2021 June | 57 | 39 | 96 |
2021 May | 135 | 57 | 192 |
2021 April | 194 | 60 | 254 |
2021 March | 140 | 81 | 221 |
2021 February | 108 | 38 | 146 |
2021 January | 107 | 18 | 125 |
2020 December | 91 | 25 | 116 |
2020 November | 72 | 27 | 99 |
2020 October | 78 | 39 | 117 |
2020 September | 71 | 18 | 89 |
2020 August | 62 | 20 | 82 |
2020 July | 74 | 33 | 107 |
2020 June | 61 | 26 | 87 |
2020 May | 129 | 22 | 151 |
2020 April | 57 | 22 | 79 |
2020 March | 59 | 18 | 77 |
2020 February | 88 | 54 | 142 |
2020 January | 81 | 38 | 119 |
2019 December | 78 | 30 | 108 |
2019 November | 73 | 44 | 117 |
2019 October | 39 | 16 | 55 |
2019 September | 48 | 26 | 74 |
2019 August | 53 | 20 | 73 |
2019 July | 64 | 27 | 91 |
2019 June | 55 | 17 | 72 |
2019 May | 73 | 23 | 96 |
2019 April | 135 | 56 | 191 |
2019 March | 77 | 35 | 112 |
2019 February | 49 | 32 | 81 |
2019 January | 56 | 25 | 81 |
2018 December | 137 | 50 | 187 |
2018 November | 174 | 31 | 205 |
2018 October | 144 | 27 | 171 |
2018 September | 129 | 29 | 158 |
2018 August | 100 | 17 | 117 |
2018 July | 97 | 15 | 112 |
2018 June | 90 | 12 | 102 |
2018 May | 88 | 16 | 104 |
2018 April | 88 | 8 | 96 |
2018 March | 79 | 15 | 94 |
2018 February | 69 | 9 | 78 |
2018 January | 98 | 14 | 112 |
2017 December | 75 | 14 | 89 |
2017 November | 89 | 16 | 105 |
2017 October | 60 | 7 | 67 |
2017 September | 74 | 19 | 93 |
2017 August | 86 | 13 | 99 |
2017 July | 97 | 14 | 111 |
2017 June | 66 | 9 | 75 |
2017 May | 67 | 11 | 78 |
2017 April | 68 | 13 | 81 |
2017 March | 55 | 7 | 62 |
2017 February | 79 | 26 | 105 |
2017 January | 47 | 24 | 71 |
2016 December | 87 | 8 | 95 |
2016 November | 98 | 13 | 111 |
2016 October | 156 | 8 | 164 |
2016 September | 167 | 3 | 170 |
2016 August | 247 | 8 | 255 |
2016 July | 297 | 22 | 319 |
2016 June | 151 | 0 | 151 |
2016 May | 152 | 0 | 152 |
2016 April | 145 | 0 | 145 |
2016 March | 112 | 0 | 112 |
2016 February | 144 | 0 | 144 |
2016 January | 115 | 0 | 115 |
2015 December | 138 | 0 | 138 |
2015 November | 106 | 0 | 106 |
2015 October | 118 | 0 | 118 |
2015 September | 113 | 0 | 113 |
2015 August | 77 | 0 | 77 |
2015 July | 88 | 0 | 88 |
2015 June | 59 | 0 | 59 |
2015 May | 75 | 0 | 75 |
2015 April | 9 | 0 | 9 |