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array:23 [ "pii" => "S0211699518301838" "issn" => "02116995" "doi" => "10.1016/j.nefro.2018.12.003" "estado" => "S300" "fechaPublicacion" => "2019-05-01" "aid" => "555.2" "copyrightAnyo" => "2018" "documento" => "simple-article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "abs" "cita" => "Nefrologia. 2019;39:334-5" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 2938 "formatos" => array:3 [ "EPUB" => 88 "HTML" => 2270 "PDF" => 580 ] ] "itemSiguiente" => array:18 [ "pii" => "S021169951830184X" "issn" => "02116995" "doi" => "10.1016/j.nefro.2018.12.004" "estado" => "S300" "fechaPublicacion" => "2019-05-01" "aid" => "555.3" "documento" => "simple-article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "abs" "cita" => "Nefrologia. 2019;39:335" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 669 "formatos" => array:3 [ "EPUB" => 91 "HTML" => 311 "PDF" => 267 ] ] "es" => array:8 [ "idiomaDefecto" => true "titulo" => "Tasas elevadas de ingesta proteica asocian un declive acelerado de la función renal residual (FRR) en pacientes tratados con diálisis peritoneal (DP)" "tienePdf" => "es" "tieneTextoCompleto" => "es" "paginas" => array:1 [ 0 => array:1 [ "paginaInicial" => "335" ] ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Pablo Otero Alonso, Antía López Iglesias, Luis Bravo González-Blas, Leticia García Gago, Daniela Astudillo, Ana Rodríguez-Carmona, Teresa García Falcón, Miguel Pérez Fontán" "autores" => array:8 [ 0 => array:2 [ "nombre" => "Pablo" "apellidos" => "Otero Alonso" ] 1 => array:2 [ "nombre" => "Antía" "apellidos" => "López Iglesias" ] 2 => array:2 [ "nombre" => "Luis Bravo" "apellidos" => "González-Blas" ] 3 => array:2 [ "nombre" => "Leticia" "apellidos" => "García Gago" ] 4 => array:2 [ "nombre" => "Daniela" "apellidos" => "Astudillo" ] 5 => array:2 [ "nombre" => "Ana" "apellidos" => "Rodríguez-Carmona" ] 6 => array:2 [ "nombre" => "Teresa" "apellidos" => "García Falcón" ] 7 => array:2 [ "nombre" => "Miguel" "apellidos" => "Pérez Fontán" ] ] ] ] ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S021169951830184X?idApp=UINPBA000064" "url" => "/02116995/0000003900000003/v2_201905101344/S021169951830184X/v2_201905101344/es/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S0211699518301826" "issn" => "02116995" "doi" => "10.1016/j.nefro.2018.12.002" "estado" => "S300" "fechaPublicacion" => "2019-05-01" "aid" => "555.1" "documento" => "simple-article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "abs" "cita" => "Nefrologia. 2019;39:334" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 557 "formatos" => array:3 [ "EPUB" => 88 "HTML" => 236 "PDF" => 233 ] ] "es" => array:8 [ "idiomaDefecto" => true "titulo" => "Development of strategies for genetic diagnosis of hereditary glomerulopathies, tubulopathies and cystic kidney diseases by the sequencing sets of genes" "tienePdf" => "es" "tieneTextoCompleto" => "es" "paginas" => array:1 [ 0 => array:1 [ "paginaInicial" => "334" ] ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "María Lara Besada Cerecedo, Noa Carrera Cachaza, María García Murias, Ana María Barcia de la Iglesia, Jorge Amigo Lechuga, Beatriz Sobrino Rey, Cándido Díaz Rodríguez, Miguel Ángel García-González" "autores" => array:8 [ 0 => array:2 [ "nombre" => "María Lara" "apellidos" => "Besada Cerecedo" ] 1 => array:2 [ "nombre" => "Noa" "apellidos" => "Carrera Cachaza" ] 2 => array:2 [ "nombre" => "María" "apellidos" => "García Murias" ] 3 => array:2 [ "nombre" => "Ana María" "apellidos" => "Barcia de la Iglesia" ] 4 => array:2 [ "nombre" => "Jorge" "apellidos" => "Amigo Lechuga" ] 5 => array:2 [ "nombre" => "Beatriz" "apellidos" => "Sobrino Rey" ] 6 => array:2 [ "nombre" => "Cándido" "apellidos" => "Díaz Rodríguez" ] 7 => array:2 [ "nombre" => "Miguel Ángel" "apellidos" => "García-González" ] ] ] ] ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518301826?idApp=UINPBA000064" "url" => "/02116995/0000003900000003/v2_201905101344/S0211699518301826/v2_201905101344/es/main.assets" ] "es" => array:9 [ "idiomaDefecto" => true "titulo" => "Enfermedad renal crónica (ERC) y estatus socioeconómico (SES). Estudio Epidemiología de la enfermedad renal crónica en España (EPIRCE)" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "334" "paginaFinal" => "335" ] ] "autores" => array:1 [ 0 => array:3 [ "autoresLista" => "Alfonso Otero González, A.L.M. de Francisco, Pilar Gayoso Díaz, Fernando García López" "autores" => array:4 [ 0 => array:3 [ "nombre" => "Alfonso" "apellidos" => "Otero González" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">1</span>" "identificador" => "aff0005" ] ] ] 1 => array:3 [ "nombre" => "A.L.M." "apellidos" => "de Francisco" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">2</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "Pilar" "apellidos" => "Gayoso Díaz" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">3</span>" "identificador" => "aff0015" ] ] ] 3 => array:3 [ "nombre" => "Fernando" "apellidos" => "García López" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">4</span>" "identificador" => "aff0020" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "CH Universitario Ourense, Ourense, España" "etiqueta" => "1" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "CH Universitario Valdecilla, Santander, España" "etiqueta" => "2" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "CS Oroso, IDIS Santiago, Santiago de Compostela, La Coruña, España" "etiqueta" => "3" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "ISC Carlos III, Madrid, España" "etiqueta" => "4" "identificador" => "aff0020" ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Introducción:</span> Las desigualdades socioeconómicas son un problema clave en salud pública, pero los factores de riesgo cardiovascular (FRCV) convencionales solo explican parcialmente la relación entre SES y nivel de salud. En ERC es posible que un bajo grado de «inflamación crónica» que comienza en edad infantil y se acrecienta por los efectos acumulativos del SES se traduzca en la vida adulta en mayor disfunción endotelial, acortamiento del telómero, mayor envejecimiento y mayor consumo de fósforo y, en consecuencia, mayor incidencia de ERC.</p><p id="par0010" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Objetivo:</span> Analizar la relación entre SES y su relación con la incidencia de ERC en la población del estudio EPIRCE.</p><p id="par0015" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Material y métodos:</span> Datos de estudio EPIRCE. Para el nivel de estudios y la situación laboral se utilizó el criterio de la <span class="elsevierStyleItalic">British Register General</span>. La metodología estadística utilizada fue comparación de medias (t de Student) y análisis multivariante.</p><p id="par0020" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Resultados:</span> La población analfabeta tiene más edad. Es más hipertensa, mas dislipémica y con menor GFR y mayor Al/cr significativamente frente a niveles más elevados de SES (<a class="elsevierStyleCrossRef" href="#tbl0005">tabla 1</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0025" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Conclusiones:</span> La población con peor SES tiene mayor tasa de FRCV convencionales y más incidencia de ERC.</p></span>" "pdfFichero" => "main.pdf" "tienePdf" => true "multimedia" => array:1 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Tabla 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Tabla " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">A/SE n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>78 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">1.° Gr n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.392 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">2.° Gr A n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>253 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">2.° Gr B n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>518 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3.° Gr A n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>242 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3.° Gr B n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>194 \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sexo mujer \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79,5% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60,1% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52,4% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52,5% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61,2% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55,4% \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Edad, años \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">65,6 (62,8-68,3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55,6 (54,8-56,4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">46,6 (44,8-48,3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40,5 (39,4-41,5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38,8 (37,1-40,5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37,4 (35,7-39,2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IMC, kg/m<span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30,5 (29-32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28,5 (28,2-28,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26,8 (26,3-27,5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26,3 (25,8-26,8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25,5 (24,9-26,1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25,2 (24,6-25,9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Circ. c., cm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">98,8 (95,3-102,3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">94,4 (83,7-95,1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">91,1 (89,4-92,9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88,4 (87,2-89,5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">85,4 (83,6-87,4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">85,6 (83,7-87,5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PAS, mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">149,5 (143,1-156) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">136,5 (135,4-137,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">128,3 (125,8-130,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">124,5 (122,9-126) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">122,3 (120,2-124,5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">121,7 (119,3-124,1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gluc., mg/dl \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">112,4 (101,9-122,8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">98,7 (97,4-100) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">94,7 (92,2-97,2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90,7 (89,2-92,1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89 (86,3-91,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89,1 (86,5-91,8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Col. total, mg/dl \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">208,8 (199,1-218,5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">207,6 (205,6-209,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">207,8 (202,7-212,5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">197,9 (194,7-201,1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">196,2 (191,4-201,1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">195,2 (189,5-200,9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HDL col., mg/dl \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72 (67,2-76,9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72,5 (71,5-73,4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71,4 (68,6-74,1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71,4 (69,6-73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75,1 (72,8-77,2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72,8 (69,9-75,6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Urato \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,8 (4,5-5,2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,8 (4,8-4,9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,8 (4,6-5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,7 (4,6-4,8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,5 (4,4-4,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,7 (4,5-4,9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Obes. \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53,8% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">32,1% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22,4% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18,8% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16,1% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12,8% \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DM \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21,8% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9,1% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,4% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3,3% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2,6% \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HTA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73,1% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52,8% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34,3% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20,7% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21,5% \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">eGFR \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">74,5 (70,4-78,6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83,1 (82,2-84,1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88,6 (86,6-90,6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93,6 (92,3-94,9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">91,6 (89,5-93,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93,6 (91,4-95,8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ACR, mg/g \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18,2 (10,1-26,4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10,6 (9,4-11,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (6,8-13,2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,5 (6,2-8,9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,8 (6-9,7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6,5 (4,6-8,4) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2029415.png" ] ] ] ] "descripcion" => array:1 [ "es" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Distribución, según el nivel de estudios, de la función renal y los FRCV</p>" ] ] ] ] "idiomaDefecto" => "es" "url" => "/02116995/0000003900000003/v2_201905101344/S0211699518301838/v2_201905101344/es/main.assets" "Apartado" => array:4 [ "identificador" => "77694" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Comunicaciones 5° Congreso de la Sociedad Gallega de Nefrología" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/02116995/0000003900000003/v2_201905101344/S0211699518301838/v2_201905101344/es/main.pdf?idApp=UINPBA000064&text.app=https://revistanefrologia.com/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518301838?idApp=UINPBA000064" ]
año/Mes | Html | Total | |
---|---|---|---|
2024 Noviembre | 11 | 9 | 20 |
2024 Octubre | 51 | 37 | 88 |
2024 Septiembre | 56 | 28 | 84 |
2024 Agosto | 64 | 60 | 124 |
2024 Julio | 68 | 37 | 105 |
2024 Junio | 56 | 38 | 94 |
2024 Mayo | 69 | 50 | 119 |
2024 Abril | 52 | 44 | 96 |
2024 Marzo | 64 | 32 | 96 |
2024 Febrero | 72 | 48 | 120 |
2024 Enero | 50 | 17 | 67 |
2023 Diciembre | 76 | 36 | 112 |
2023 Noviembre | 84 | 42 | 126 |
2023 Octubre | 110 | 38 | 148 |
2023 Septiembre | 302 | 33 | 335 |
2023 Agosto | 403 | 18 | 421 |
2023 Julio | 403 | 45 | 448 |
2023 Junio | 185 | 39 | 224 |
2023 Mayo | 85 | 62 | 147 |
2023 Abril | 73 | 40 | 113 |
2023 Marzo | 87 | 72 | 159 |
2023 Febrero | 70 | 30 | 100 |
2023 Enero | 47 | 40 | 87 |
2022 Diciembre | 58 | 49 | 107 |
2022 Noviembre | 68 | 44 | 112 |
2022 Octubre | 64 | 41 | 105 |
2022 Septiembre | 57 | 60 | 117 |
2022 Agosto | 54 | 58 | 112 |
2022 Julio | 47 | 55 | 102 |
2022 Junio | 40 | 49 | 89 |
2022 Mayo | 59 | 72 | 131 |
2022 Abril | 73 | 53 | 126 |
2022 Marzo | 55 | 60 | 115 |
2022 Febrero | 84 | 62 | 146 |
2022 Enero | 42 | 43 | 85 |
2021 Diciembre | 52 | 55 | 107 |
2021 Noviembre | 52 | 48 | 100 |
2021 Octubre | 65 | 59 | 124 |
2021 Septiembre | 56 | 42 | 98 |
2021 Agosto | 59 | 57 | 116 |
2021 Julio | 42 | 38 | 80 |
2021 Junio | 37 | 44 | 81 |
2021 Mayo | 62 | 57 | 119 |
2021 Abril | 108 | 80 | 188 |
2021 Marzo | 83 | 51 | 134 |
2021 Febrero | 62 | 74 | 136 |
2021 Enero | 34 | 33 | 67 |
2020 Diciembre | 46 | 37 | 83 |
2020 Noviembre | 39 | 26 | 65 |
2020 Octubre | 46 | 36 | 82 |
2020 Septiembre | 57 | 28 | 85 |
2020 Agosto | 44 | 30 | 74 |
2020 Julio | 36 | 26 | 62 |
2020 Junio | 51 | 49 | 100 |
2020 Mayo | 75 | 61 | 136 |
2020 Abril | 74 | 64 | 138 |
2020 Marzo | 83 | 73 | 156 |
2020 Febrero | 108 | 82 | 190 |
2020 Enero | 93 | 59 | 152 |
2019 Diciembre | 98 | 53 | 151 |
2019 Noviembre | 203 | 53 | 256 |
2019 Octubre | 470 | 66 | 536 |
2019 Septiembre | 439 | 51 | 490 |
2019 Agosto | 357 | 66 | 423 |
2019 Julio | 274 | 57 | 331 |
2019 Junio | 175 | 49 | 224 |
2019 Mayo | 96 | 81 | 177 |
2019 Abril | 3 | 3 | 6 |