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          "es" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Evoluci&#243;n del cociente de masa grasa A&#47;G en el tejido abdominal&#44; estimada por DXA&#44; a lo largo de un a&#241;o en los 18 pacientes en HD&#46; En el gr&#225;fico inferior&#44; se representa la diferencia del de dicho cambio &#40;el incremento del cociente A&#47;G se representa por encima del eje de ordenadas y el descenso&#44; por debajo&#41;&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introducci&#243;n</span><p id="par0005" class="elsevierStylePara elsevierViewall">La enfermedad cardiovascular &#40;CV&#41; es la principal causa de morbimortalidad en los pacientes con enfermedad renal<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">1</span></a>&#46; La obesidad est&#225; estrechamente asociada con un aumento del riesgo de sufrir una enfermedad CV<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">2</span></a>&#46; Se asocia con un proceso inflamatorio cr&#243;nico de baja intensidad&#44; ya que existe un aumento de los niveles circulantes de citocinas proinflamatorias y de prote&#237;nas de fase aguda&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">La leptina es un modulador de la respuesta inmune que estimula la producci&#243;n de citocinas proinflamatorias y provoca un aumento significativo de la actividad simp&#225;tica<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">3&#44;4</span></a>&#46; La adiponectina es la adipocina que presenta una mayor expresi&#243;n en el adipocito<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">5&#44;6</span></a>&#46; Su concentraci&#243;n plasm&#225;tica disminuye en individuos con sobrepeso y obesidad<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">7</span></a>&#46; Algunos estudios realizados con diferentes poblaciones han revelado que las concentraciones bajas de adiponectina pueden predecir de forma independiente el desarrollo futuro de resistencia a la insulina y otros han demostrado que la adiponectina posee propiedades antiaterog&#233;nicas y antiinflamatorias que pueden regular negativamente el proceso aterog&#233;nico<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">8</span></a>&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">El factor de crecimiento de fibroblastos 21 &#40;FGF-21&#41; estimula la entrada de glucosa en el adipocito independientemente de la insulina&#44; suprime la producci&#243;n de glucosa hep&#225;tica y est&#225; implicado en la regulaci&#243;n de la grasa corporal<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">9</span></a>&#46; Adem&#225;s&#44; se correlaciona directamente con el &#237;ndice de masa corporal &#40;IMC&#41;&#44; los niveles de leptina&#44; triglic&#233;ridos&#44; insulina e &#237;ndice HOMA-IR<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">10</span></a>&#46; El FGF-21 se metaboliza principalmente por el ri&#241;&#243;n&#44; por lo que la disminuci&#243;n de la funci&#243;n renal provocar&#237;a un aumento de sus niveles plasm&#225;ticos<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">11</span></a>&#46; Adem&#225;s&#44; la insuficiencia renal cr&#243;nica es un estado de deficiencia de &#946;-Klotho soluble &#40;co-receptor del FGF-21&#41;&#44; lo que conlleva un posible estado de resistencia&#44; como sucede con el FGF-23<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">12</span></a>&#44; cuyo impacto cl&#237;nico no ha sido a&#250;n estudiado&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">El aumento de la mortalidad CV de los pacientes en di&#225;lisis no est&#225; completamente explicado por los factores de riesgo &#171;cl&#225;sicos&#187;&#44; por lo que&#44; en los &#250;ltimos a&#241;os&#44; han surgido numerosos factores &#171;no cl&#225;sicos&#187;&#46; La grasa abdominal y&#44; sobre todo&#44; su ganancia a lo largo del tiempo&#44; se ha consolidado como un factor de riesgo CV importante&#44; especialmente en pacientes ur&#233;micos<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">13</span></a>&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">La absorciometr&#237;a dual de rayos X &#40;DXA&#41;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">14</span></a> es una t&#233;cnica de referencia que permite valorar la composici&#243;n corporal desde un punto de vista de 3<span class="elsevierStyleHsp" style=""></span>compartimentos&#58; masa grasa &#40;MG&#41;&#44; masa &#243;sea &#40;MO&#41; y la masa magra &#40;MM&#41;&#46; Las exploraciones de cuerpo entero permiten realizar determinaciones regionales de MG<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">15</span></a>&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">La escasa informaci&#243;n disponible sobre la composici&#243;n corporal en los pacientes ur&#233;micos y su influencia sobre la mortalidad CV nos anim&#243; a realizar este estudio piloto&#46; Nuestro objetivo principal ha sido comprobar si existe una ganancia de grasa abdominal en los pacientes de hemodi&#225;lisis &#40;HD&#41; y estudiar sus posibles relaciones con los cambios en los niveles plasm&#225;ticos de adipocitocinas&#44; lo que podr&#237;a estar en relaci&#243;n con las alteraciones metab&#243;licas inducidas por la actividad adipocitaria en la uremia&#46; Como objetivo secundario&#44; intentamos validar los datos obtenidos por bioimpedancia &#40;BIA&#41; con los obtenidos por la DXA &#40;<span class="elsevierStyleItalic">gold standard</span> para la determinaci&#243;n de la composici&#243;n corporal y t&#233;cnica poco accesible en la pr&#225;ctica cl&#237;nica diaria&#41;&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Pacientes y m&#233;todos</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Dise&#241;o del estudio</span><p id="par0035" class="elsevierStylePara elsevierViewall">Se realiz&#243; un estudio prospectivo de un a&#241;o en el que se incluy&#243; a 18 pacientes en HD&#46; La poblaci&#243;n fue seleccionada entre los pacientes atendidos en el Servicio de Nefrolog&#237;a del Hospital Universitario La Paz&#46; Los criterios de inclusi&#243;n fueron los siguientes&#58; pacientes mayores de 18 a&#241;os&#44; en tratamiento renal sustitutivo por un periodo superior a 3 meses e inferior a 5 a&#241;os&#44; sin deterioro de sus capacidades cognitivas y que firmaran el consentimiento informado&#46; Los criterios de exclusi&#243;n fueron&#58; pacientes con neoplasia activa&#44; o limitada esperanza de vida&#46; La edad avanzada no constituy&#243; por s&#237; misma un criterio de exclusi&#243;n&#46; Se registraron datos demogr&#225;ficos y datos relativos al tratamiento renal sustitutivo&#44; as&#237; como las comorbilidades o procesos intercurrentes&#46; El per&#237;odo de reclutamiento de los pacientes fue de mayo del 2011 a marzo del 2013&#46; Se dise&#241;&#243; un modelo de consentimiento informado que fue firmado por cada participante&#46; Este estudio fue aprobado por el Comit&#233; &#201;tico de Investigaci&#243;n Cl&#237;nica del Hospital Universitario La Paz&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Las medidas antropom&#233;ticas y de composici&#243;n corporal&#44; as&#237; como las muestras sangu&#237;neas&#44; fueron recogidas en ayunas en 2 ocasiones&#58; en la visita inicial &#40;entre 2011 y 2013&#41; y 12 meses despu&#233;s&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">El an&#225;lisis bioqu&#237;mico se realiz&#243; en el Servicio de An&#225;lisis Cl&#237;nicos del Hospital Universitario La Paz&#46; En ambas muestras se realizaron las siguientes determinaciones&#58; glucemia&#44; perfil lip&#237;dico &#40;colesterol y triglic&#233;ridos&#41;&#44; alb&#250;mina&#44; insulina&#44; &#237;ndice&#160;HOMA-IR&#44; &#225;cidos grasos libres&#44; prote&#237;na C reactiva &#40;PCR&#41;&#44; leptina&#44; adiponectina&#44; interleucina-6 &#40;IL-6&#41;&#44; factor de necrosis tumoral alfa &#40;TNF-&#945;&#41; y FGF-21&#46; Todas las determinaciones anal&#237;ticas se extrajeron en ayunas&#58; predi&#225;lisis en el turno de ma&#241;ana en los pacientes en HD y coincidiendo con la realizaci&#243;n de la cin&#233;tica peritoneal en el caso de los de pacientes en di&#225;lisis peritoneal &#40;DP&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Posteriormente se realiz&#243; una segunda parte&#44; en la que se seleccion&#243; un grupo control&#44; compuesto por 17 pacientes en DP&#44; procedentes del Servicio de Nefrolog&#237;a&#44; que cumpl&#237;an los mismos criterios que los pacientes en HD&#58; se realiz&#243; un estudio transversal basal comparativo entre 29 pacientes en HD y los de DP&#46; Este estudio sirvi&#243; para comparar los datos de composici&#243;n corporal entre ambos grupos de pacientes y para realizar los estudios de concordancia entre los m&#233;todos de an&#225;lisis de la composici&#243;n corporal&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Antropometr&#237;a y composici&#243;n corporal</span><p id="par0055" class="elsevierStylePara elsevierViewall">La obtenci&#243;n de las medidas antropom&#233;tricas de los pacientes se ajust&#243; a la t&#233;cnica est&#225;ndar y a la normativa internacional vigente recomendada &#40;WHO&#44; 1976&#41;&#46; Estas medidas fueron realizadas con el sujeto descalzo y en ropa interior&#46; Las medidas se tomaron siempre predi&#225;lisis en el caso de los pacientes en HD&#44; y con el abdomen en vac&#237;o en los de DP&#46; Para medir el peso se utiliz&#243; un analizador de la composici&#243;n corporal &#40;TANITA BC-420MA&#44; Biol&#243;gica Tecnolog&#237;a M&#233;dica S&#46;L&#46; Barcelona&#44; Espa&#241;a&#41;&#46; La talla fue obtenida mediante un tall&#237;metro de precisi&#243;n milim&#233;trica &#40;rango&#58; 80-200<span class="elsevierStyleHsp" style=""></span>cm&#41;&#46; Para la medici&#243;n de la circunferencia muscular del brazo &#40;CMB&#41; se utiliz&#243; una cinta m&#233;trica inextensible de precisi&#243;n milim&#233;trica &#40;0&#44;1<span class="elsevierStyleHsp" style=""></span>cm&#41;&#46; El pliegue tricipital &#40;PCT&#41; se obtuvo mediante un plic&#243;metro Holtain de 20<span class="elsevierStyleHsp" style=""></span>cm de amplitud y sensibilidad de 0&#44;2<span class="elsevierStyleHsp" style=""></span>mm&#46; A partir de las medidas antropom&#233;tricas de peso y talla se calcul&#243; el &#237;ndice de masa corporal &#40;IMC&#41; &#40;peso &#91;kg&#93;&#47;talla &#91;m<span class="elsevierStyleSup">2</span>&#93;&#41;&#46; La circunferencia de la cintura &#40;Cci&#41; se midi&#243; en cm&#44; usando una cinta m&#233;trica de precisi&#243;n milim&#233;trica y dando la vuelta a la cintura en posici&#243;n horizontal &#40;nivel m&#225;s estrecho del tronco&#44; l&#237;nea media entre la cresta il&#237;aca y la &#250;ltima costilla&#41;&#46; La toma de la medida se hizo al final de una espiraci&#243;n normal&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">La composici&#243;n corporal se cuantific&#243; usando tanto BIA como DXA&#46; Para la determinaci&#243;n de la composici&#243;n corporal por BIA se utiliz&#243; un impedanci&#243;metro tetrapolar vectorial a 50<span class="elsevierStyleHsp" style=""></span>kHz&#44; con una intensidad de 0&#44;8<span class="elsevierStyleHsp" style=""></span>mA&#44; modelo BIA101 de Akern Systems &#40;Florencia&#44; Italia&#41;&#46; La medici&#243;n se realiz&#243; siguiendo los criterios establecidos por el National Institute of Health Technology Assesment Conference Statement<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">16</span></a>&#46; En el caso de que el paciente presentase acceso vascular para la realizaci&#243;n de la di&#225;lisis&#44; todas las mediciones se realizaron en el lado contralateral<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">17</span></a>&#46; Como BIA multifrecuencia se emple&#243; el monitor BCM &#40;Body Composition Monitor&#44; Fresenius Medical Care&#44; Alemania&#41;&#44; con un rango de emisi&#243;n de frecuencias entre los 5 y los 1&#46;000<span class="elsevierStyleHsp" style=""></span>kHz&#46; La DXA fue realizada en el servicio de Medicina Nuclear del Hospital Universitario La Paz utilizando los <span class="elsevierStyleItalic">region of interest</span> &#40;ROI&#41; o <span class="elsevierStyleItalic">&#225;rea de inter&#233;s</span> recomendados por el fabricante del radiodensit&#243;metro &#243;seo con <span class="elsevierStyleItalic">software</span> enCore LUNAR 43616 ES &#40;GE Healthcare&#44; Buckinghamshire&#44; Reino Unido&#41; para las determinaciones regionales de MG &#40;troncular&#44; ginecoide y androide&#41;&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Procedimientos de laboratorio</span><p id="par0065" class="elsevierStylePara elsevierViewall">Las muestras sangu&#237;neas para la determinaci&#243;n del FGF-21 fueron recogidas en tubos de plasma heparina-litio y centrifugados a 3&#46;500<span class="elsevierStyleHsp" style=""></span>rpm durante 10<span class="elsevierStyleHsp" style=""></span>min antes de su almacenaje a &#8722;40<span class="elsevierStyleHsp" style=""></span>&#176;C o a &#8722;80<span class="elsevierStyleHsp" style=""></span>&#176;C&#44; hasta su an&#225;lisis&#46; El FGF-21 se cuantific&#243; mediante un ensayo de tipo <span class="elsevierStyleItalic">enzyme-linked immunosorbent sandwich assay</span> &#40;ELISA&#41;&#44; seg&#250;n las instrucciones del fabricante &#40;Merck-Millipore&#44; Darmstadt&#44; Alemania&#41;&#46; La sensibilidad del ensayo fue 1&#44;7 pg&#47;ml y la precisi&#243;n 5&#44;7&#37; intraensayo y 6&#44;9&#37; interensayo&#46; El rango de normalidad esperado fue inferior a 200<span class="elsevierStyleHsp" style=""></span>pg&#47;ml&#46; La leptina&#44; IL-6&#44; TNF-&#945; y la adiponectina fueron cuantificadas mediante un inmunoan&#225;lisis multiplex &#40;Milliplex&#174;&#44; Merck-Millipore&#44; Darmstadt&#44; Alemania&#41;&#46; La sensibilidad para IL-6 fue de 1&#44;4 pg&#47;ml y su precisi&#243;n intra- e interensayo del 7 y del 13&#37;&#44; respectivamente&#46; La sensibilidad de la leptina fue 7&#44;3<span class="elsevierStyleHsp" style=""></span>pg&#47;ml&#160;y su precisi&#243;n del 5 y del 11&#37;&#44; intra- e interensayo&#44; respectivamente&#46; Para el TNF-&#945;&#44; la sensibilidad fue de 0&#44;4<span class="elsevierStyleHsp" style=""></span>pg&#47;ml y la precisi&#243;n de 8&#37; intraensayo y del 7&#37; interensayo&#46; La determinaci&#243;n de los &#225;cidos grasos libres se bas&#243; en un m&#233;todo enzim&#225;tico colorim&#233;trico <span class="elsevierStyleItalic">in vitro</span> &#40;A25&#44; Biosystems&#44; Barcelona&#44; Espa&#241;a&#41;&#46; Los valores esperados fueron 2&#44;8-16&#44;9<span class="elsevierStyleHsp" style=""></span>mg&#47;dl para los hombres y 2&#44;8-12&#44;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl para las mujeres&#46; La precisi&#243;n fue del 1&#44;5&#37;&#46; La insulina se determin&#243; por inmunoan&#225;lisis basado en quimioluminiscencia directa &#40;Liaison&#44; DiaSorin&#44; Saluggia&#44; Italia&#41;&#46; Su sensibilidad fue 0&#44;5<span class="elsevierStyleHsp" style=""></span>&#956;UI&#47;ml&#44; su precisi&#243;n intraensayo del 3&#44;9&#37; y la interensayo del 4&#44;3&#37;&#46; El &#237;ndice HOMA-IR se calcul&#243; en los pacientes no diab&#233;ticos seg&#250;n la f&#243;rmula de Matthews<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">18</span></a>&#58; HOMA-IR &#61; glucosa &#40;mmol&#47;l&#41;<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>insulina &#40;&#956;U&#47;ml&#41;&#47;22&#44;5&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">An&#225;lisis estad&#237;stico</span><p id="par0070" class="elsevierStylePara elsevierViewall">Los datos se expresan como media &#177; desviaci&#243;n t&#237;pica &#40;DT&#41; para las variables continuas de distribuci&#243;n normal o como mediana y percentiles 25 y 75 para las variables de distribuci&#243;n no param&#233;trica&#44; o como frecuencias absolutas y porcentajes en las variables cualitativas&#46; Considerando el an&#225;lisis basal de los datos&#44; la comparaci&#243;n de las variables cualitativas entre 2 o m&#225;s grupos se realiz&#243; a trav&#233;s del test de la Chi-cuadrado o test exacto de Fisher&#44; dependiendo de la distribuci&#243;n de los datos&#46; La comparaci&#243;n de variables cuantitativas entre 2 grupos se realiz&#243; a trav&#233;s del test de la U de Mann-Whitney o el test de la t de Student&#44; dependiendo de la distribuci&#243;n de los datos&#46; Se utiliz&#243; el test de Levene para comparar la variabilidad de la respuesta por grupo&#46; Para analizar la asociaci&#243;n lineal basal de 2<span class="elsevierStyleHsp" style=""></span>variables continuas&#44; se realiz&#243; el coeficiente de correlaci&#243;n de Spearman&#46; Para la evaluaci&#243;n del grado de acuerdo existente entre 2<span class="elsevierStyleHsp" style=""></span>variables que eval&#250;an un mismo concepto&#44; se utilizaron las correlaciones bivariadas de Pearson&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Para el an&#225;lisis longitudinal de los par&#225;metros anal&#237;ticos estudiados a partir de 2<span class="elsevierStyleHsp" style=""></span>puntos temporales &#40;basal y al a&#241;o&#41;&#44; primero se realiz&#243; un an&#225;lisis estratificado por modalidad e incidencia de la variable respuesta&#46; Para ello se estim&#243; el efecto de la modalidad&#44; la incidencia o prevalencia y la interacci&#243;n entre ambas&#44; y se consider&#243; el ajuste del modelo a partir de ecuaciones de estimaci&#243;n generalizada &#40;GEE&#41; para el caso de los datos longitudinales&#46;&#160;Para analizar la posible asociaci&#243;n entre los diferentes par&#225;metros anal&#237;ticos estudiados y las variables independientes analizadas &#40;par&#225;metros antropom&#233;tricos y de composici&#243;n corporal estimados por BIA y DXA&#41; se estim&#243; el efecto a partir del <span class="elsevierStyleItalic">Score Statistics For Type 3 GEE Analysis</span>&#46; Para analizar la asociaci&#243;n de las variables estratificadas para las que exist&#237;a poco tama&#241;o muestral&#44; se utilizaron correlaciones de Spearman&#46; El mismo estudio se realiz&#243; para el an&#225;lisis del incremento &#40;delta&#41; o diferencia entre el valor final y basal&#44; aunque en este caso el ajuste del modelo se realiz&#243; con un modelo lineal general&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">Todas las pruebas estad&#237;sticas se consideraron bilaterales y&#44; como valores significativos&#44; aquellas p inferiores a 0&#44;05&#46; Los datos se analizaron con el programa estad&#237;stico SAS 9&#46;3 &#40;SAS Institute Inc&#46;&#44; Cary&#44; NC&#44; EE&#46;&#160;UU&#46;&#41;&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Resultados</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Hemodi&#225;lisis frente a di&#225;lisis peritoneal</span><p id="par0085" class="elsevierStylePara elsevierViewall">Las principales caracter&#237;sticas cl&#237;nicas&#44; anal&#237;ticas y antropom&#233;tricas basales de ambos grupos se muestran en la <a class="elsevierStyleCrossRef" href="#tbl0005">tabla 1</a>&#46; Los pacientes de HD presentaban un mayor PCT y una menor CMB que los de DP&#46; No se objetivaron diferencias anal&#237;ticas entre ambos grupos a excepci&#243;n de una mayor alb&#250;mina y un menor colesterol en los pacientes de HD&#44; a pesar de que estos pacientes llevaban m&#225;s tiempo en di&#225;lisis que los de DP&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">Los pacientes en HD presentaban un menor &#225;ngulo de fase y una mayor resistencia que los de DP&#46; Adem&#225;s&#44; ten&#237;an un mayor porcentaje de MG&#44; menos masa muscular &#40;MMusc&#41; y MM&#46; Respecto al porcentaje de agua corporal&#44; los pacientes de HD presentaban un menor porcentaje de agua&#58; eran estad&#237;sticamente significativas las diferencias en el agua corporal total &#40;ACT&#41;&#44; agua extracelular &#40;AEC&#41; e intracelular &#40;AIC&#41;&#46; Respecto a los par&#225;metros de DXA&#44; se objetiv&#243; un mayor porcentaje de grasa localizada en el tronco de los pacientes de HD comparados con los pacientes de DP&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Estudio longitudinal en hemodi&#225;lisis</span><p id="par0095" class="elsevierStylePara elsevierViewall">En el estudio longitudinal realizado en los 18 pacientes en HD&#44; se objetiv&#243; un incremento en la CB y la CMB &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">tabla 2</a>&#41;&#46; No se encontraron diferencias significativas en los par&#225;metros anal&#237;ticos&#44; a excepci&#243;n del colesterol&#46; Se evidenci&#243; un aumento del &#225;ngulo de fase y del AIC&#44; as&#237; como del cociente entre el porcentaje de grasa de distribuci&#243;n androide&#47;ginecoide &#40;A&#47;G&#41; medido por DXA &#40;indicador de riesgo cardiovascular&#41;&#46; Tambi&#233;n se evidenci&#243; un descenso del porcentaje de MMusc y del AEC&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">Dado que el sexo influye sobre la composici&#243;n corporal&#44; en la <a class="elsevierStyleCrossRef" href="#tbl0015">tabla 3</a> se muestran los mismos datos&#44; desglosados por sexo&#46; En los varones se objetiv&#243; un aumento de la CMB al a&#241;o&#46; No se objetivaron cambios estad&#237;sticamente significativos en la composici&#243;n corporal estimada por DXA&#44; a excepci&#243;n del incremento del cociente grasa A&#47;G&#46; En las mujeres no se hallaron diferencias significativas en los par&#225;metros antropom&#233;tricos&#44; anal&#237;ticos&#44; ni de composici&#243;n corporal medida por BIA&#46; Aunque existi&#243; una tendencia al aumento de grasa en todos los par&#225;metros estudiados &#40;<a class="elsevierStyleCrossRef" href="#fig0005">fig&#46; 1</a>&#41;&#44; solo fue estad&#237;sticamente significativo el aumento del cociente grasa A&#47;G&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">Cuando se compararon las diferencias basales entre hombres y mujeres&#44; no se objetivaron diferencias significativas en los par&#225;metros antropom&#233;tricos ni anal&#237;ticos&#44; a excepci&#243;n de los valores de alb&#250;mina y adiponectina &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">tabla 3</a>&#41;&#46; Se hallaron diferencias significativas en casi todos los par&#225;metros de composici&#243;n corporal medidos por BIA y en la mayor&#237;a de la DXA&#46; Contrariamente a lo esperado&#44; los varones presentaron un mayor porcentaje de MG respecto a las mujeres basalmente&#44; no as&#237; al a&#241;o de seguimiento debido a una tendencia a la ganancia de MG &#40;sobre todo en las mujeres&#41;&#44; que no fue significativa &#40;<a class="elsevierStyleCrossRef" href="#fig0010">fig&#46; 2</a>&#41;&#46; Cuando se estudi&#243; mediante DXA&#44; pudimos objetivar que las mujeres presentan un aumento estad&#237;sticamente significativo en el porcentaje de MG a todos los niveles &#40;troncular&#44; androide y ginecoide&#41;&#59; sin embargo&#44; cuando se consider&#243; el cociente A&#47;G&#44; este fue mayor en los varones y&#44; adem&#225;s&#44; continu&#243; aumentando durante el a&#241;o de seguimiento &#40;fig&#46; 2&#41;&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall">No se encontraron diferencias significativas en los valores de leptina y adiponectina basales ni anuales entre hombres y mujeres&#44; a pesar de que se objetiv&#243; una tendencia al incremento de la leptina en las mujeres y de la adiponectina en los hombres&#46; Se encontr&#243; una relaci&#243;n estad&#237;sticamente significativa entre las concentraciones de leptina y adiponectina tanto con el porcentaje de masa grasa medida por BIA como con la grasa abdominal estimada mediante DXA &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">tabla 4</a>&#41;&#46; En los modelos estimados&#44; se encontr&#243; una relaci&#243;n directa entre el porcentaje de MG &#40;medida por BIA o DXA&#41; y los niveles de leptina&#44; as&#237; como una relaci&#243;n inversa entre el porcentaje de MG y los niveles de adiponectina&#46; En ambos casos las relaciones fueron estad&#237;sticamente significativas&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">Adem&#225;s&#44; el incremento del cambio de estas adipocitocinas se correlacion&#243; con el porcentaje de cambio de la MG &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">tabla 5</a>&#41;&#46; Se encontr&#243; una correlaci&#243;n estad&#237;sticamente significativa entre el cociente de grasa A&#47;G y los niveles de leptina basales&#44; as&#237; como una relaci&#243;n inversa&#44; tambi&#233;n estad&#237;sticamente significativa&#44; entre el mencionado cociente y los niveles de adiponectina basal corregidos por el IMC&#46; Esta correlaci&#243;n con la adiponectina corregida por el IMC se mantuvo al a&#241;o de evoluci&#243;n&#44; lo que no ocurri&#243; con la leptina&#46; No se objetivaron diferencias significativas en el estudio longitudinal en las concentraciones s&#233;ricas de FGF-21&#44; ni en la poblaci&#243;n global ni en los subgrupos seg&#250;n el sexo&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0120" class="elsevierStylePara elsevierViewall">Con respecto al segundo objetivo de nuestro estudio&#44; se encontr&#243; una correlaci&#243;n significativa entre los par&#225;metros de masa grasa cuantificados por BIA y por DXA &#40;<a class="elsevierStyleCrossRef" href="#tbl0030">tabla 6</a>&#41;&#44; lo que indica una buena concordancia entre ambos m&#233;todos de medida de la composici&#243;n corporal&#46;</p><elsevierMultimedia ident="tbl0030"></elsevierMultimedia></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discusi&#243;n</span><p id="par0125" class="elsevierStylePara elsevierViewall">Los resultados del presente estudio muestran que se produce una ganancia de grasa en los pacientes en HD a lo largo del tiempo&#44; incluso en periodos de seguimiento limitados&#44; como un a&#241;o&#46; Adem&#225;s&#44; esta ganancia es claramente de distribuci&#243;n abdominal&#44; lo que aumenta el riesgo CV asociado al tiempo en di&#225;lisis de estos pacientes&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">Tambi&#233;n pudimos comprobar que los cambios a lo largo del seguimiento en los par&#225;metros de composici&#243;n corporal &#40;ganancias o p&#233;rdidas de MG&#41; demostraron guardar una correlaci&#243;n con los cambios en las concentraciones de adipocitocinas analizadas en estos pacientes&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">Solo existe un estudio que haya analizado los cambios de composici&#243;n corporal en los pacientes de HD mediante DXA<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">19</span></a>&#46; Se llev&#243; a cabo en 72 pacientes japoneses incidentes en HD&#44; a los que se les realiz&#243; una DXA en la visita basal y al cabo de un a&#241;o&#44; y en los que se objetiv&#243; un incremento medio de 118 &#177; 26<span class="elsevierStyleHsp" style=""></span>g&#47;mes de masa grasa&#46; Al contrario que en nuestro estudio&#44; no encontraron diferencias por sexo y describen una correlaci&#243;n negativa con la alb&#250;mina y la MG basal&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Seg&#250;n los estudios realizados por Vague<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">20</span></a> acerca de los patrones de distribuci&#243;n de la MG y su asociaci&#243;n con alteraciones metab&#243;licas&#44; la distribuci&#243;n androide&#44; o de predominio abdominal&#44; de la grasa corporal es la que tiene una mayor trascendencia desde el punto de vista cl&#237;nico&#44; dada su asociaci&#243;n con un aumento del riesgo CV&#46; La proporci&#243;n de grasa p&#233;lvica A&#47;G es la relaci&#243;n entre el porcentaje de grasa de regi&#243;n androide y ginecoide&#46; El exceso de grasa abdominal &#40;androide&#41; se asocia con la existencia de diversos factores de riesgo CV<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">21</span></a>&#46; La determinaci&#243;n del cociente A&#47;G mediante DXA es una herramienta simple y pr&#225;ctica para valorar la distribuci&#243;n de la grasa p&#233;lvica&#46; Esta relaci&#243;n puede tener un papel para valorar el riesgo CV en los pacientes con exceso de peso<a class="elsevierStyleCrossRefs" href="#bib0240"><span class="elsevierStyleSup">15&#44;22</span></a>&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">El medio ur&#233;mico contribuye a la retenci&#243;n de las adipocitocinas&#44; la inflamaci&#243;n sist&#233;mica y al estr&#233;s oxidativo y la resistencia a la insulina<a class="elsevierStyleCrossRefs" href="#bib0280"><span class="elsevierStyleSup">23&#44;24</span></a>&#46; Datos experimentales indican que la uremia induce una lipog&#233;nesis disminuida y un aumento de la lip&#243;lisis&#44; lo que promover&#237;a la redistribuci&#243;n de la grasa corporal&#46; Nuestros resultados muestran un aumento estad&#237;sticamente significativo de los niveles plasm&#225;ticos de leptina y una disminuci&#243;n de los de adiponectina&#44; incluso tras ajustar sus niveles por el IMC en los pacientes de HD&#46; Cabe resaltar especialmente los elevados niveles de adiponectina detectados en nuestros pacientes&#44; que algunos estudios relacionan con un incremento de la mortalidad<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">25</span></a>&#46; En su estudio&#44; Rhee et al&#46; demostraron en 501 pacientes en HD que niveles de adiponectina superiores a 30 mcg&#47;ml se asociaba a 3 veces mayor riesgo de mortalidad por cualquier causa<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">26</span></a>&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">Un objetivo secundario de nuestro estudio era validar los datos obtenidos por BIA &#40;t&#233;cnica usada habitualmente en la pr&#225;ctica cl&#237;nica&#41; con los obtenidos por la DXA &#40;<span class="elsevierStyleItalic">gold standard</span> para el estudio de la composici&#243;n corporal&#41;&#46; Nuestros datos se&#241;alan la existencia de una buena correlaci&#243;n entre los par&#225;metros de composici&#243;n corporal &#40;porcentaje de masa grasa&#41; obtenidos entre ambas t&#233;cnicas&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">La BIA estudia el estado nutricional y de hidrataci&#243;n de los pacientes en HD&#44; permitiendo as&#237; ajustar el volumen de ultrafiltraci&#243;n y conocer la MMusc o MG&#46; En los &#250;ltimos a&#241;os&#44; se ha demostrado la relaci&#243;n de la MM y sus modificaciones con la supervivencia de los pacientes en HD<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">27</span></a>&#46; Est&#225; descrita en la literatura la relaci&#243;n que existe entre el &#225;ngulo de fase medido por BIA y la supervivencia&#44; aunque no est&#225; claro si est&#225; relaci&#243;n est&#225; ligada al estado nutricional&#46; Algunos autores han demostrado que los pacientes con los &#225;ngulos de fase m&#225;s bajos presentan una mayor mortalidad&#44; independientemente de otros factores<a class="elsevierStyleCrossRefs" href="#bib0305"><span class="elsevierStyleSup">28&#44;29</span></a>&#46; Seg&#250;n el estudio realizado por Di Gioia<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">30</span></a>&#44; un &#225;ngulo mayor de 4&#44;85&#176; en HD parece ser un indicador de buen pron&#243;stico en estos pacientes&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">La absorciometr&#237;a dual de rayos X &#40;DXA&#41;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">15</span></a> es una t&#233;cnica que permite determinar el contenido de grasa corporal a trav&#233;s de la emisi&#243;n de bajas dosis de radiaci&#243;n&#44; bas&#225;ndose en la diferencia de atenuaci&#243;n de 2 niveles de energ&#237;a por el hueso&#44; la grasa y los tejidos blandos&#46; Es una t&#233;cnica de referencia&#44; ya que las exploraciones de cuerpo entero permiten realizar determinaciones regionales de MG<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">16</span></a>&#46; Se dispone de <span class="elsevierStyleItalic">software</span> asociado a los equipos que permiten seleccionar la regi&#243;n a estudio mediante la colocaci&#243;n de los denominados ROI&#46; Como t&#233;cnica de estudio de composici&#243;n corporal&#44; la DXA es &#250;til para estimar la grasa troncular y abdominal&#44; pero no permite valorar con precisi&#243;n los compartimentos grasos subcut&#225;neo e intraabdominal visceral y perivisceral&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">Existen escasos estudios publicados que comparen la BIA y DXA en pacientes en di&#225;lisis&#46; Formica et al&#46;<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">31</span></a> realizaron en 1993 el primer estudio con 42 pacientes en di&#225;lisis&#44; para el desarrollo de ecuaciones para la estimaci&#243;n de la MM y MG por BIA&#46; Otro estudio es el de Donadio<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">32</span></a>&#44; que compar&#243; la concordancia en las diferentes mediciones de la composici&#243;n corporal mediante BIA y DXA en 27 pacientes italianos en HD&#46; En cambio&#44; Abrahamsen<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">33</span></a> s&#237; encontr&#243; diferencias entre la valoraci&#243;n de la composici&#243;n corporal por DXA o BIA&#59; en su estudio realizado en 19 pacientes en HD la DXA demostr&#243; una mayor exactitud en la estimaci&#243;n de la MM&#46; No es posible comparar adecuadamente los resultados obtenidos en este estudio con los nuestros debido a la diferencia en las unidades de medida&#44; aunque los pacientes en el estudio de Abrahamsen parec&#237;an presentar menores porcentajes de MG que los obtenidos en nuestro caso&#46; Hasta donde podemos asegurar&#44; este es el primer estudio de estas caracter&#237;sticas realizado en poblaci&#243;n espa&#241;ola en di&#225;lisis&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">El tama&#241;o muestral reducido y la dificultad para la medici&#243;n de algunos par&#225;metros son las principales limitaciones de nuestro estudio&#46; Tampoco se tuvieron en cuenta los ingresos&#44; ni se valor&#243; la repercusi&#243;n de la t&#233;cnica dial&#237;tica ni sus dosis&#44; aunque todos los pacientes ten&#237;an una dosis de di&#225;lisis adecuada&#46; En el estudio longitudinal&#44; solo se analiz&#243; a los pacientes que ten&#237;an todas las medidas antropom&#233;tricas registradas&#44; tanto basales como a los 12 meses&#46; Debido a estas limitaciones&#44; nuestros resultados deben interpretarse con precauci&#243;n&#46; Por otro lado&#44; hemos podido demostrar una ganancia de grasa abdominal en los pacientes de HD &#40;con el aumento del riesgo CV asociado que ello conlleva&#41; y su asociaci&#243;n estad&#237;sticamente significativa con los cambios en los niveles plasm&#225;ticos de adipocitocinas&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">En conclusi&#243;n&#44; existe una ganancia de grasa en general&#44; y de localizaci&#243;n abdominal en particular&#44; seg&#250;n aumenta la permanencia de los pacientes en di&#225;lisis lo que podr&#237;a explicar&#44; en parte&#44; el aumento del riesgo CV que presentan los pacientes con insuficiencia renal&#59; el cociente A&#47;G es el par&#225;metro m&#225;s sensible para estimar dicho riesgo&#46; Existe&#44; adem&#225;s&#44; una buena correlaci&#243;n entre los diferentes m&#233;todos de valoraci&#243;n de composici&#243;n corporal &#40;BIA y DXA&#41;&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conflicto de intereses</span><p id="par0185" class="elsevierStylePara elsevierViewall">Los autores declaran no tener ning&#250;n conflicto de intereses&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introducci&#243;n</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">La grasa abdominal y&#44; sobre todo&#44; su ganancia a lo largo del tiempo&#44; se ha consolidado como un factor de riesgo cardiovascular en pacientes ur&#233;micos&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objetivos</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Analizar los cambios en la grasa abdominal en los pacientes de hemodi&#225;lisis &#40;HD&#41; a lo largo de un a&#241;o y estudiar sus posibles relaciones con los cambios en los niveles circulantes de adipocitocinas&#46; Como objetivo secundario intentamos validar los datos obtenidos por bioimpedancia el&#233;ctrica &#40;BIA&#41; con los obtenidos por absorciometr&#237;a dual de rayos X &#40;DXA&#41;&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Material y m&#233;todos</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Se realiz&#243; un estudio prospectivo de un a&#241;o de duraci&#243;n en 18 pacientes en HD&#46; En cada paciente se cuantific&#243;&#44; basalmente y al cabo de un a&#241;o&#44; la composici&#243;n corporal por BIA y DXA y se determinaron varios par&#225;metros bioqu&#237;micos incluyendo adipocitocinas&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Resultados</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Se evidenci&#243; un aumento significativo del &#225;ngulo de fase &#91;4&#44;8&#176; &#40;4&#44;1-5&#44;6&#41; frente a 5&#44;2&#176; &#40;4&#44;4-5&#44;8&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#93;&#44; del agua intracelular por BIA &#91;48&#44;3&#37; &#40;43&#44;1-52&#44;3&#41; frente a 50&#44;3&#37; &#40;45&#44;7-53&#44;4&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#93; y del cociente entre el porcentaje de grasa de distribuci&#243;n androide&#47;ginecoide &#40;A&#47;G&#41; medido por DXA &#91;1&#44;00 &#40;0&#44;80-1&#44;26&#41; frente a 1&#44;02 &#40;0&#44;91&#59; 1&#44;30&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#93;&#46; Se encontr&#243; una relaci&#243;n estad&#237;sticamente significativa entre las concentraciones de leptina y adiponectina tanto con el porcentaje de masa grasa medida por BIA como con la grasa abdominal estimada mediante DXA &#40;p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;01&#41;&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusi&#243;n</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Los pacientes en HD experimentan una ganancia de grasa con el tiempo&#44; especialmente en localizaci&#243;n abdominal&#44; evidenciada por un aumento del cociente A&#47;G&#44; lo que podr&#237;a explicar el aumento del riesgo cardiovascular que presentan&#46;</p></span>"
        "secciones" => array:5 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Introducci&#243;n"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Objetivos"
          ]
          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Material y m&#233;todos"
          ]
          3 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Resultados"
          ]
          4 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Conclusi&#243;n"
          ]
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      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introduction</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Abdominal fat and its increment over time in particular has become a cardiovascular risk factor in uraemic patients&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objectives</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">To analyse changes in abdominal fat in haemodialysis patients over one year and study their possible correlation with the variation in adipocytokine serum levels&#46; As a secondary objective&#44; we tried to validate the data obtained by bioelectrical impedance analysis &#40;BIA&#41; with data obtained by dual X-ray absorptiometry &#40;DXA&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Material and methods</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">A prospective one-year study was performed in 18 patients on haemodialysis &#40;HD&#41;&#46; In each patient&#44; body composition by BIA and DXA was estimated at baseline and after one year&#46; Several adipocytokine and biochemical parameters were determined&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Results</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">A significant increase in phase angle &#91;4&#46;8&#176; &#40;4&#46;1-5&#46;6&#41; vs&#46; 5&#46;2&#176; &#40;4&#46;4-5&#46;8&#41;&#44; <span class="elsevierStyleItalic">P</span>&#60;&#46;05&#93;&#44; BIA intracellular water &#91;48&#46;3&#37; &#40;43&#46;1-52&#46;3&#41; vs&#46; 50&#46;3&#37; &#40;45&#46;7-53&#46;4&#41;&#44; <span class="elsevierStyleItalic">P</span>&#60;&#46;05&#93; and the ratio between the percentage of android&#47;gynecoid &#40;A&#47;G&#41; distribution of fat measured by DXA &#91;1&#46;00 &#40;0&#46;80-1&#46;26&#41; vs&#46; 1&#46;02 &#40;0&#46;91-1&#46;30&#41;&#44; <span class="elsevierStyleItalic">P</span>&#60;&#46;05&#93; was observed&#46; A statistically significant relationship between leptin and adiponectin concentrations and the percentage of fat mass measured by BIA&#44; as well as the abdominal fat percentage estimated by DXA&#44; was found &#40;<span class="elsevierStyleItalic">P</span>&#60;&#46;01&#41;&#46;</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusion</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">HD patients exhibit a gain in fat mass over time&#44; especially in the abdomen&#44; evidenced by an increased A&#47;G ratio&#46; These findings might explain the increased cardiovascular risk in these patients&#46;</p></span>"
        "secciones" => array:5 [
          0 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "Introduction"
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          1 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Objectives"
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          2 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Material and methods"
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          3 => array:2 [
            "identificador" => "abst0045"
            "titulo" => "Results"
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          4 => array:2 [
            "identificador" => "abst0050"
            "titulo" => "Conclusion"
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        "etiqueta" => "Figura 1"
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        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
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          "es" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Evoluci&#243;n del porcentaje de masa grasa&#44; estimada por DXA&#44; a lo largo de un a&#241;o en los 18 pacientes de HD&#46; En el gr&#225;fico inferior&#44; se representa la diferencia de dicho cambio &#40;el incremento de MG se representa por encima del eje de ordenadas y el descenso&#44; por debajo&#41;&#46;</p>"
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        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
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        "figura" => array:1 [
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          "es" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Evoluci&#243;n del cociente de masa grasa A&#47;G en el tejido abdominal&#44; estimada por DXA&#44; a lo largo de un a&#241;o en los 18 pacientes en HD&#46; En el gr&#225;fico inferior&#44; se representa la diferencia del de dicho cambio &#40;el incremento del cociente A&#47;G se representa por encima del eje de ordenadas y el descenso&#44; por debajo&#41;&#46;</p>"
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        "etiqueta" => "Tabla 1"
        "tipo" => "MULTIMEDIATABLA"
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        "detalles" => array:1 [
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            "identificador" => "at1"
            "detalle" => "Tabla "
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Los datos se muestras como media &#40;DT&#41; para las variables de distribuci&#243;n normal y la mediana &#40;p25&#59; p75&#41; para las variables no param&#233;tricas&#46;</p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">ACT&#58; agua corporal total&#59; AEC&#58; agua extracelular&#59; AGNE&#58; &#225;cidos grasos libres&#59; AIC&#58; agua intracelular&#59; BIA&#58; bioimpedancia&#59; CB&#58; circunferencia del brazo&#59; Cci&#58; circunferencia de la cintura&#59; CMB&#58; circunferencia muscular del brazo&#59; Cociente A&#47;G&#58; cociente de grasa tejido androide&#47;ginecoide&#59; DM&#58; diabetes&#59; DXA&#58; absorciometr&#237;a dual de rayos X&#59; FGF-21&#58; factor de crecimiento fibrobl&#225;stico 21&#59; HOMA&#58; <span class="elsevierStyleItalic">Homeostasis Model Assessment</span>&#59; IL-6&#58; interleucina 6&#59; IMC&#58; &#237;ndice de masa corporal&#59; PCR&#58; prote&#237;na C reactiva&#59; PCT&#58; pliegue cut&#225;neo tricipital&#59; TG&#58; triglic&#233;ridos&#59; TNF-a&#58; factor de necrosis tumoral &#945;&#59; NS&#58; no significativo&#46;</p>"
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">181&#44;2 &#40;51&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TG &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">128&#44;7 &#40;63&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">142&#44;7 &#40;71&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucosa &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">127&#44;5 &#40;52&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">127&#44;1 &#40;74&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HOMA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#44;0 &#40;1&#44;2&#59; 6&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#44;3&#40;1&#44;4&#59; 5&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>PCR &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">9&#44;9 &#40;7&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#44;8 &#40;4&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Alb&#250;mina &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#44;2 &#40;0&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#44;6 &#40;0&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FGF-21 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">352 &#40;88&#59; 826&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">104 &#40;76&#59; 246&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IL-6 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#44;4 &#40;1&#44;6&#59; 17&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#44;1 &#40;1&#59; 15&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TNF-a &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#44;9 &#40;4&#44;9&#59; 7&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#44;6 &#40;4&#44;5&#59; 5&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptina &#40;ng&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">18&#44;2 &#40;10&#44;1&#59; 40&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#44;4 &#40;4&#44;1&#59; 40&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptina&#47;IMC &#40;pg&#47;ml&#47;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">762&#44;1 &#40;401&#44;1&#59; 1379&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">225&#44;3 &#40;158&#44;8&#59; 536&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectina &#40;mcg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">30&#44;4 &#40;25&#44;3&#59; 48&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">23 &#40;14&#44;7&#59; 26&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectina&#47;IMC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#44;03 &#40;0&#44;76&#59; 2&#44;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#44;85 &#40;0&#44;47&#59; 2&#44;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">BIA</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Angulo fase &#40;&#176;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#44;5 &#40;4&#44;2&#59; 5&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#44;0 &#40;5&#44;0&#59; 6&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Resistencia &#40;Ohm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">620 &#40;512&#59;676&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">436 &#40;389&#59;524&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Masa grasa &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">36&#44;5 &#40;32&#44;0&#59; 39&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">16&#44;0 &#40;14&#44;0&#59; 24&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Masa magra &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">63&#44;0 &#40;60&#44;0&#59; 66&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">84&#44;0 &#40;76&#44;0&#59; 86&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Masa muscular &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">39&#44;5 &#40;33&#44;0&#59; 43&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">56&#44;0 &#40;48&#44;0&#59; 60&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ACT &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">50&#44;2 &#40;47&#44;7&#59; 52&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">61&#44;7 &#40;60&#44;7&#59; 62&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AEC &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">51&#44;8 &#40;47&#44;4&#59; 55&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">43&#44;8 &#40;41&#44;9&#59; 46&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AIC &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">48&#44;3 &#40;44&#44;1&#59; 52&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">56&#44;3 &#40;53&#44;2&#59; 58&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">DXA</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tronco tejido &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">41&#44;0 &#40;34&#44;4&#59; 44&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">34&#44;0 &#40;16&#44;0&#59; 36&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tronco magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">20&#44;4 &#40;17&#44;8&#59; 22&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">30&#44;1 &#40;26&#44;0&#59; 35&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA ginecoide tejido &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">36&#44;4 &#40;31&#44;5&#59; 42&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">26&#44;8 &#40;23&#44;1&#59; 42&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA ginecoide magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#44;0 &#40;4&#44;7&#59; 6&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">8&#44;2 &#40;6&#44;3&#59; 8&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA androide tejido &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">43&#44;2 &#40;33&#44;0&#59; 46&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">34&#44;3 &#40;12&#44;4&#59; 38&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA androide magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#44;2 &#40;2&#44;7&#59; 3&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5&#44;1 &#40;3&#44;8&#59; 6&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cociente tejido A&#47;G&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#44;0 &#40;0&#44;8&#59; 1&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#44;7 &#40;0&#44;6&#59; 1&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA total tejido &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">37&#44;0 &#40;31&#44;9&#59; 39&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">28&#44;8 &#40;17&#44;1&#59; 40&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab1399432.png"
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        "descripcion" => array:1 [
          "es" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Par&#225;metros basales cl&#237;nicos&#44; bioqu&#237;micos&#44; antropom&#233;tricos y de composici&#243;n corporal estudiados de la muestra global de 46 pacientes&#44; estratificada seg&#250;n la modalidad de tratamiento renal sustitutivo</p>"
        ]
      ]
      3 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Tabla 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at2"
            "detalle" => "Tabla "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Los datos se muestras como media &#40;DT&#41; para las variables de distribuci&#243;n normal y la mediana &#40;p25&#59; p75&#41; para las variables no param&#233;tricas&#46;</p><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">ACT&#58; agua corporal total&#59; AEC&#58; agua extracelular&#59; AGNE&#58; &#225;cidos grasos libres&#59; AIC&#58; agua intracelular&#59; BIA&#58; bioimpedancia&#59; CB&#58; circunferencia del brazo&#59; Cci&#58; circunferencia de la cintura&#59; CMB&#58; circunferencia muscular del brazo&#59; cociente A&#47;G&#58; cociente de grasa tejido androide&#47;ginecoide&#59; DM&#58; diabetes&#59; DXA&#58; absorciometr&#237;a dual de rayos X&#59; FGF-21&#58; factor de crecimiento fibrobl&#225;stico 21&#59; HOMA&#58; <span class="elsevierStyleItalic">Homeostasis Model Assessment</span>&#59; IL-6&#58; interleucina 6&#59; IMC&#58; &#237;ndice de masa corporal&#59; PCR&#58; prote&#237;na C reactiva&#59; PCT&#58; pliegue cut&#225;neo tricipital&#59; TG&#58; triglic&#233;ridos&#59; TNF-a&#58; factor de necrosis tumoral &#945;&#59; NS&#58; no significativo&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Hemodi&#225;lis basal&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Hemodi&#225;lis anual&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Par&#225;metros antropom&#233;tricos</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IMC &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#44;5 &#40;5&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#44;6 &#40;5&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>PCT &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18 &#40;11&#44;1&#59; 26&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#44;1 &#40;11&#44;8&#59; 19&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CB &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&#44;7 &#40;23&#44;3&#59; 30&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">28&#44;5 &#40;25&#44;0&#59; 33&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CMB &#40;mm<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#44;0 &#40;19&#44;4&#59; 23&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">22&#44;8 &#40;21&#44;5&#59; 25&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cci &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">101&#44;3 &#40;90&#44;1&#59; 107&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">98&#44;8 &#40;89&#44;7&#59; 109&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Par&#225;metros anal&#237;ticos</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AGNE &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">128&#44;5 &#40;94&#44;0&#59; 208&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">114&#44;5 &#40;57&#44;3&#59;153&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Colesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">159&#44;0 &#40;43&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">155&#44;0 &#40;65&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TG &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">132&#44;1 &#40;68&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">143&#44;3 &#40;65&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucosa &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">127&#44;6 &#40;53&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">122&#44;2 &#40;34&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HOMA-IR &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#44;0 &#40;1&#44;3&#59; 7&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;15 &#40;0&#44;8&#59; 6&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>PCR &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#44;7 &#40;24&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12&#44;9 &#40;20&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Alb&#250;mina &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;2 &#40;0&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;1 &#40;0&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FGF-21 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">507&#44;5 &#40;117&#44;5&#59; 771&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">414 &#40;120&#44;8&#59; 1&#46;480&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IL-6 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#44;2 &#40;2&#44;3&#59; 22&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#44;1 &#40;1&#44;8&#59; 28&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TNF-a &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;4 &#40;5&#44;0&#59; 8&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;5 &#40;4&#44;7&#59; 9&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptina &#40;ng&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#44;6 &#40;7&#44;7&#59; 48&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">19&#44;3 &#40;11&#44;4&#59; 38&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptina&#47;IMC &#40;pg&#47;ml&#47;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">762&#44;1 &#40;401&#44;1&#59; 1&#46;379&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">827&#44;7 &#40;506&#44;1&#59; 1&#46;296&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectina &#40;mcg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">29&#44;5 &#40;20&#44;9&#59; 53&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">36&#44;2 &#40;26&#44;5&#59; 42&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectina&#47;IMC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;03 &#40;0&#44;76&#59; 2&#44;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;19 &#40;0&#44;99&#59; 2&#44;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">BIA</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Angulo fase &#40;&#176;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;8 &#40;4&#44;1&#59; 5&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#44;2 &#40;4&#44;4&#59; 5&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Masa grasa &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37 &#40;34&#59; 39&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&#44;9 &#40;20&#44;7&#59;30&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Masa magra &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">63 &#40;61&#59; 66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">43&#44;9 &#40;34&#44;5&#59; 47&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Masa muscular &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#44;5 &#40;33&#44;0&#59; 42&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">24&#44;8 &#40;20&#44;8&#59; 30&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ACT &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">49&#44;4 &#40;47&#44;5&#59; 52&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">50&#44;0 &#40;47&#44;4&#59; 52&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AEC &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">51&#44;8 &#40;47&#44;8&#59; 56&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">49&#44;7 &#40;46&#44;7&#59; 54&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AIC &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">48&#44;3 &#40;43&#44;1&#59; 52&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">50&#44;3 &#40;45&#44;7&#59; 53&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">DXA</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tronco tejido &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#44;3 &#40;30&#44;9&#59; 44&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#44;7 &#40;34&#44;6&#59; 46&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tronco magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">19&#44;8 &#40;18&#44;1&#59; 21&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">19&#44; 8 &#40;17&#44;9&#59; 22&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tejido ginecoide &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#44;8 &#40;32&#44;7&#59; 43&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#44;3 &#40;34&#44;4&#59; 48&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA ginecoide magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#44;4 &#40;4&#44;8&#59; 6&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#44;8 &#40;5&#44;2&#59; 6&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tejido androide &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&#44;9 &#40;28&#44;7&#59; 47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#44;6 &#40;32&#44;6&#59; 48&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA androide magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#44;2 &#40;2&#44;7&#59; 3&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#44;2 &#40;2&#44;6&#59; 3&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cociente tejido A&#47;G&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;00 &#40;0&#44;80&#59; 1&#44;26&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;02 &#40;0&#44;91&#59; 1&#44;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#60;0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA total tejido &#40;&#37; grasa&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#44;2 &#40;31&#44;9&#59; 42&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#44;2 &#40;34&#59; 43&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "es" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Par&#225;metros bioqu&#237;micos&#44; antropom&#233;tricos&#44; y de composici&#243;n corporal estudiados en 18 pacientes de hemodi&#225;lisis&#44; estratificados en la muestra basal y al a&#241;o</p>"
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          "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Los datos se muestras como media &#40;DE&#41; para las variables de distribuci&#243;n normal y la mediana &#40;p25&#59; p75&#41; para las variables no param&#233;tricas&#46;</p><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">ACT&#58; agua corporal total&#59; AEC&#58; agua extracelular&#59; AGNE&#58; &#225;cidos grasos libres&#59; AIC&#58; agua intracelular&#59; BIA&#58; bioimpedancia&#59; CB&#58; circunferencia del brazo&#59; Cci&#58; circunferencia de la cintura&#59; CMB&#58; circunferencia muscular del brazo&#59; cociente A&#47;G&#58; cociente grasa tejido androide&#47;ginecoide&#59; DM&#58; diabetes&#59; DXA&#58; absorciometr&#237;a dual de rayos X&#59; FGF-21&#58; factor de crecimiento fibrobl&#225;stico 21&#59; HOMA&#58; <span class="elsevierStyleItalic">Homeostasis Model Assessment</span>&#59; IL-6&#58; interleucina 6&#59; IMC&#58; &#237;ndice de masa corporal&#59; PCR&#58; prote&#237;na C reactiva&#59; PCT&#58; pliegue cut&#225;neo tricipital&#59; TG&#58; triglic&#233;ridos&#59; TNF-a&#58; factor de necrosis tumoral &#945;&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " rowspan="2" align="char" valign="top" scope="col" style="border-bottom: 2px solid black">Variables</th><th class="td" title="table-head  " colspan="2" align="char" valign="top" scope="col" style="border-bottom: 2px solid black">Hemodi&#225;lisis varones &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>10&#41;</th><th class="td" title="table-head  " colspan="2" align="char" valign="top" scope="col" style="border-bottom: 2px solid black">Hemodi&#225;lis mujeres &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>8&#41;</th></tr><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Basal&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Anual&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Basal&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Anual&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Par&#225;metros antropom&#233;tricos</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#44;5 &#40;4&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#44;9 &#40;4&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#44;0 &#40;6&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&#44;6 &#40;5&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>PCT &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#44;2 &#40;13&#44;2&#59; 22&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#44;1 &#40;12&#44;5&#59; 20&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">15&#44;8 &#40;10&#44;4&#59; 15&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#44;2 &#40;13&#44;6&#59; 31&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CB &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&#44;9 &#40;24&#44;1&#59; 29&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">29&#44;0 &#40;26&#44;5&#59; 32&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">27&#44;3 &#40;24&#44;0&#59; 32&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#44;0 &#40;25&#44;1&#59; 36&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CMB &#40;mm<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#44;0 &#40;20&#44;3&#59; 22&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">23&#44;6 &#40;21&#44;6&#59; 26&#44;0&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">22&#44;3 &#40;19&#44;2&#59; 24&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#44;7 &#40;20&#44;8&#59; 26&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cci &#40;mm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">103 &#40;98&#59; 113&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">104 &#40;98&#59; 110&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">91 &#40;81&#59; 108&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">93 &#40;88&#59; 104&#41;<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Par&#225;metros anal&#237;ticos</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AGNE &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">116 &#40;76&#59; 139&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">115 &#40;71&#59; 149&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">228 &#40;149&#59; 246&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">130 &#40;70&#59; 160&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Colesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">156 &#40;46&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">149 &#40;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">157 &#40;43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">159 &#40;45&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TG &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">145 &#40;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">153 &#40;81&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">101 &#40;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">115 &#40;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucosa &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">129 &#40;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">122 &#40;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">117 &#40;39&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">116 &#40;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HOMA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>PCR &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#44;9 &#40;26&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#44;1 &#40;6&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#44;6 &#40;20&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">19&#44;6 &#40;30&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Alb&#250;mina&#44; &#40;g&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;4 &#40;0&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;2 &#40;0&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;0 &#40;0&#44;3&#41;<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#44;9 &#40;0&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FGF-21 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">526 &#40;133&#59; 3&#46;562&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1275 &#40;312&#59; 3&#46;333&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">571 &#40;117&#59; 571&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">176 &#40;118&#59; 334&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IL-6 &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#44;2 &#40;2&#44;4&#59; 17&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#44;2 &#40;1&#44;9&#59; 20&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#44;3 &#40;2&#44;4&#59; 25&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">7&#44;7 &#40;2&#44;0&#59; 39&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>TNF-a &#40;pg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;7 &#40;5&#44;2&#59; 8&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;5 &#40;5&#44;6&#59; 9&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;9 &#40;5&#44;2&#59; 8&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">7&#44;8 &#40;2&#44;2&#59; 8&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptina &#40;ng&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12&#44;4 &#40;6&#44;5&#59; 33&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">13&#44;2 &#40;10&#44;3&#59; 27&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#44;9 &#40;12&#44;4&#59; 51&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#44;5 &#40;20&#44;0&#59; 40&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leptina&#47;IMC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">687&#44;2 &#40;296&#44;2&#59; 1379&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">690&#44;1 &#40;448&#44;2&#59; 939&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">762&#44;1 &#40;601&#44;9&#59; 1654&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1379&#44;2 &#40;827&#44;7&#59; 1795&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectina&#44; &#40;mcg&#47;ml&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">27&#44;1 &#40;22&#44;1&#59; 35&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">32&#44;8 &#40;26&#44;1&#59; 40&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">58&#44;5 &#40;30&#44;1&#59; 64&#44;2&#41; 1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#44;9 &#40;39&#44;4&#59; 100&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adiponectina&#47;IMC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;81 &#40;0&#44;76&#59; 1&#44;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;06 &#40;1&#44;00&#59; 1&#44;19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#44;51 &#40;1&#44;29&#59; 2&#44;65&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;86 &#40;1&#44;63&#59; 3&#44;83&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">BIA</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#193;ngulo fase &#40;&#176;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#44;4 &#40;4&#44;4&#59; 5&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#44;6 &#40;4&#44;5&#59; 6&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;5 &#40;3&#44;9&#59; 5&#44;4&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;4 &#40;4&#44;3&#59; 5&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>M grasa &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#44;0 &#40;35&#44;5&#59; 38&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">35&#44;0 &#40;31&#44;0&#59; 43&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">34&#44;0 &#40;32&#44;5&#59; 38&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#44;0 &#40;33&#44;0&#59; 43&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>M magra &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">62&#44;0 &#40;61&#44;5&#59; 64&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">65&#44;0 &#40;57&#44;0&#59; 69&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">66&#44;0 &#40;61&#44;5&#59; 67&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">61&#44;0 &#40;57&#44;0&#59; 67&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>M muscular &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40&#44;0 &#40;37&#44;0&#59; 41&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#44;0 &#40;29&#44;5&#59; 43&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&#44;0 &#40;38&#44;0&#59; 46&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#44;0 &#40;32&#44;0&#59; 42&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ACT &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">49&#44;6 &#40;48&#44;2&#59; 50&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">49&#44;1 &#40;45&#44;2&#59; 52&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">50&#44;9 &#40;49&#44;4&#59; 53&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#44;4 &#40;44&#44;0&#59; 51&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AEC &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">48&#44;4 &#40;47&#44;2&#59; 52&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">53&#44;7 &#40;51&#44;1&#59; 57&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#44;4 &#40;44&#44;3&#59; 51&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">54&#44;2 &#40;49&#44;7&#59; 54&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AIC &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">51&#44;5 &#40;47&#44;9&#59; 52&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">46&#44;5 &#40;42&#44;7&#59; 49&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">52&#44;5 &#40;48&#44;6&#59; 55&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">45&#44;9 &#40;45&#44;5&#59; 50&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">DXA</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tronco tejido &#40;&#37; MG&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#44;0 &#40;37&#44;4&#59; 44&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40&#44;7 &#40;38&#44;9&#59; 47&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40&#44;3 &#40;22&#44;8&#59; 50&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#44;5 &#40;25&#44;2&#59; 50&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tronco magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#44;7 &#40;20&#44;3&#59; 24&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#44;9 &#40;20&#44;5&#59; 24&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#44;9 &#40;16&#44;1&#59; 19&#44;3&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#44;6 &#40;15&#44;4&#59; 18&#44;6&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tejido ginecoide &#40;&#37; MG&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">33&#44;9 &#40;31&#44;5&#59; 37&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">34&#44;4 &#40;32&#44;3&#59; 39&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">45&#44;7 &#40;35&#44;3&#59; 54&#44;0&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">50&#44;0 &#40;37&#44;2&#59; 52&#44;6&#41;<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA ginecoide magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;2 &#40;5&#44;9&#59; 7&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;2 &#40;6&#44;1&#59; 6&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#44;7 &#40;4&#44;5&#59; 5&#44;3&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#44;2 &#40;4&#44;1&#59; 5&#44;4&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA tejido androide &#40;&#37; MG&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#44;3 &#40;39&#44;1&#59; 47&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#44;6 &#40;40&#44;1&#59; 50&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#44;5 &#40;20&#44;4&#59; 51&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#44;1 &#40;21&#44;4&#59; 52&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DXA androide magro &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#44;5 &#40;3&#44;1&#59; 4&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#44;6 &#40;3&#44;1&#59; 3&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#44;7 &#40;2&#44;5&#59; 3&#44;1&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#44;6 &#40;2&#44;5&#59; 3&#44;0&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cociente tejido A&#47;G&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;2 &#40;1&#44;1&#59; 1&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;3 &#40;1&#44;1&#59; 1&#44;4&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;9 &#40;0&#44;7&#59; 0&#44;9&#41;<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;9 &#40;0&#44;7&#59; 1&#44;0&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">&#42;</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#44;2 &#40;35&#44;1&#59; 40&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&#44;0 &#40;27&#44;5&#59; 49&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">45&#44;8 &#40;29&#44;3&#59; 49&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "leyenda" => "<p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">Mediante un modelo de ecuaci&#243;n de estimaci&#243;n generalizada&#44; se analiz&#243; el efecto entre variables a partir del &#171;Score Statistics For Type 3 GEE Analysis&#187; &#40;coeficiente &#946;&#41;&#46;</p><p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">BIA&#58; bioimpedancia&#59; DXA&#58; absorciometr&#237;a dual de rayos X&#59; FGF-21&#58; factor de crecimiento fibrobl&#225;stico 21&#59; IL-6&#58; interleucina 6&#46;</p>"
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#44;32&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;97&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#44;40<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#44;29<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;03&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#44;12&nbsp;\t\t\t\t\t\t\n
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    "bibliografia" => array:2 [
      "titulo" => "Bibliograf&#237;a"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0005"
          "bibliografiaReferencia" => array:33 [
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                  ]
                  "host" => array:1 [
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                      "Revista" => array:6 [
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                        "volumen" => "6"
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            1 => array:3 [
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                        "fecha" => "2010"
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            ]
            2 => array:3 [
              "identificador" => "bib0180"
              "etiqueta" => "3"
              "referencia" => array:1 [
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                  "comentario" => "&#91;consultado 17Abr 2013&#93;&#46; Disponible en&#58; <span class="elsevierStyleInterRef" id="intr0015" href="http://www.ncbi.nlm.nih.gov/pubmed/21461015">http&#58;&#47;&#47;www&#46;ncbi&#46;nlm&#46;nih&#46;gov&#47;pubmed&#47;21461015</span>"
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                      "titulo" => "Relationship between leptin and all-cause and cardiovascular mortality in chronic hemodialysis patients"
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                          "etal" => true
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                            1 => "M&#46; Bossola"
                            2 => "M&#46;J&#46; Fern&#225;ndez-Reyes"
                            3 => "E&#46; Di Stasio"
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                      "doi" => "10.3265/Nefrologia.pre2010.Dec.10629"
                      "Revista" => array:6 [
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                        "fecha" => "2011"
                        "volumen" => "31"
                        "paginaInicial" => "206"
                        "paginaFinal" => "212"
                        "link" => array:1 [
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                            "web" => "Medline"
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                        ]
                      ]
                    ]
                  ]
                ]
              ]
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            3 => array:3 [
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              "etiqueta" => "4"
              "referencia" => array:1 [
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                  "comentario" => "&#91;consultado 7 Oct 2015&#93;&#46; Disponible en&#58; <span class="elsevierStyleInterRef" id="intr0020" href="http://www.ncbi.nlm.nih.gov/pubmed/12402621">http&#58;&#47;&#47;www&#46;ncbi&#46;nlm&#46;nih&#46;gov&#47;pubmed&#47;12402621</span>"
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Leptin as a marker of nutrition and cardiovascular risk in peritoneal dialysis patients"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46; Aguilera"
                            1 => "M&#46;A&#46; Bajo"
                            2 => "F&#46; Rebollo"
                            3 => "J&#46;J&#46; D&#237;ez"
                            4 => "C&#46; D&#237;az"
                            5 => "A&#46; Paiva"
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                        ]
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                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
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                        "fecha" => "2002"
                        "volumen" => "18"
                        "paginaInicial" => "212"
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                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12402621"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            4 => array:3 [
              "identificador" => "bib0190"
              "etiqueta" => "5"
              "referencia" => array:1 [
                0 => array:3 [
                  "comentario" => "&#91;consultado 6 Jul 2015&#93;&#46; Disponible en&#58; <span class="elsevierStyleInterRef" id="intr0025" href="http://www.elsevier.es/es-revista-medicina-clinica-2-articulo-adiponectina-un-nuevo-nexo-entre-13072576">http&#58;&#47;&#47;www&#46;elsevier&#46;es&#47;es-revista-medicina-clinica-2-articulo-adiponectina-un-nuevo-nexo-entre-13072576</span>"
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Adiponectina&#58; un nuevo nexo entre obesidad&#44; resistencia a la insulina y enfermedad cardiovascular"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "X&#46; Palomer"
                            1 => "A&#46; P&#233;rez"
                            2 => "F&#46; Blanco-Vaca"
                          ]
                        ]
                      ]
                    ]
                  ]
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                    0 => array:1 [
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                        "fecha" => "2005"
                        "volumen" => "124"
                        "paginaInicial" => "388"
                        "paginaFinal" => "395"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            5 => array:3 [
              "identificador" => "bib0195"
              "etiqueta" => "6"
              "referencia" => array:1 [
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