was read the article
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"subdocumento" => "fla" "cita" => "Nefrologia. 2017;37:389-96" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 7948 "formatos" => array:3 [ "EPUB" => 403 "HTML" => 6714 "PDF" => 831 ] ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "Diferencias entre los métodos de determinación de 2.ª y 3.ª generación de la parathormona sérica sobre la mortalidad en el paciente en hemodiálisis" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "389" "paginaFinal" => "396" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Differences between 2nd and 3rd generation seric parathormone determination methods on mortality in haemodialysis patients" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figura 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1106 "Ancho" => 1505 "Tamanyo" => 84899 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Mortalidad dependiendo de los diferentes valores del cociente PTHbio/PTHi.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Laura Rodríguez-Osorio, Concepción de la Piedra, Mercedes Rubert, Marta Martín-Fernández, María Luisa González Casaus, Carolina Gracia-Iguacel, Jesús Egido, Ricardo Villa-Bellosta, Emilio González Parra" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Laura" "apellidos" => "Rodríguez-Osorio" ] 1 => array:2 [ "nombre" => "Concepción" "apellidos" => "de la Piedra" ] 2 => array:2 [ "nombre" => "Mercedes" "apellidos" => "Rubert" ] 3 => array:2 [ "nombre" => "Marta" "apellidos" => "Martín-Fernández" ] 4 => array:2 [ "nombre" => "María Luisa" "apellidos" => "González Casaus" ] 5 => array:2 [ "nombre" => "Carolina" "apellidos" => "Gracia-Iguacel" ] 6 => array:2 [ "nombre" => "Jesús" "apellidos" => "Egido" ] 7 => array:2 [ "nombre" => "Ricardo" "apellidos" => "Villa-Bellosta" ] 8 => array:2 [ "nombre" => "Emilio" "apellidos" => "González Parra" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2013251417301207" "doi" => "10.1016/j.nefroe.2017.06.010" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251417301207?idApp=UINPBA000064" ] ] "EPUB" => 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after a kidney graft failure: Predictors and effect on retransplantation outcomes" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "397" "paginaFinal" => "405" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Aumento de la alosensibilización después de un fallo del injerto renal: predictores y efecto en los resultados del retrasplante" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1486 "Ancho" => 1616 "Tamanyo" => 56115 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">PRA levels (%) before 1st and 2nd kidney transplant. Median values are shown. Boxes display the interquartile range of the values; whiskers display the lowest and the highest value within 1.5 times below or above the interquartile range, respectively. PARA, panel reactive antibody; KT, kidney transplant.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Andreia Campos, Jorge Malheiro, Sandra Tafulo, Sofia Santos, Leonídeo Dias, La Salete Martins, Manuela Almeida, Sofia Pedroso, A. 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Castro" "apellidos" => "Henriques" ] 9 => array:2 [ "nombre" => "António" "apellidos" => "Cabrita" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S0211699517300024" "doi" => "10.1016/j.nefro.2016.11.020" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699517300024?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251417301050?idApp=UINPBA000064" "url" => "/20132514/0000003700000004/v1_201708310023/S2013251417301050/v1_201708310023/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S2013251417301153" "issn" => "20132514" "doi" => "10.1016/j.nefroe.2017.06.005" "estado" => "S300" "fechaPublicacion" => "2017-07-01" "aid" => "326" "copyright" => "Sociedad Española de Nefrología" "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Nefrologia (English Version). 2017;37:381-8" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 4261 "formatos" => array:3 [ "EPUB" => 282 "HTML" => 2156 "PDF" => 1823 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "Serum ICAM-1 level and ICAM-1 gene 1462A>G (K469E) polimorphism on microalbuminuria in nondiabetic, nonhypertensive and normolipidemic obese patients: Genetical background of microalbuminuria in obesity" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "381" "paginaFinal" => "388" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Polimorfismo 1462A>G (K469E) del gen <span class="elsevierStyleItalic">ICAM-1</span> y nivel sérico de ICAM-1 en la oligoalbuminuria de pacientes obesos no diabéticos, no hipertensos y normolipidémicos: acervo genético de la oligoalbuminuria en la obesidad" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 583 "Ancho" => 1622 "Tamanyo" => 65016 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">2% agarose gel electrophoresis stained with ethidium bromide showing the PCR-RFLP analysis of the ICAM-1. Lanes M: DNA marker. Lanes 1, 2: AA allelic polymorphism; Lane 3, 4: AG allelic polymorphism; Lane 5, 6: GG allelic polymorphism.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Ahmet Engin Atay, Bennur Esen, Halit Akbas, Emel Saglam Gokmen, Saadet Pilten, Hale Guler, Dilek Gogas Yavuz" "autores" => array:7 [ 0 => array:2 [ "nombre" => "Ahmet Engin" "apellidos" => "Atay" ] 1 => array:2 [ "nombre" => "Bennur" "apellidos" => "Esen" ] 2 => array:2 [ "nombre" => "Halit" "apellidos" => "Akbas" ] 3 => array:2 [ "nombre" => "Emel Saglam" "apellidos" => "Gokmen" ] 4 => array:2 [ "nombre" => "Saadet" "apellidos" => "Pilten" ] 5 => array:2 [ "nombre" => "Hale" "apellidos" => "Guler" ] 6 => array:2 [ "nombre" => "Dilek Gogas" "apellidos" => "Yavuz" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251417301153?idApp=UINPBA000064" "url" => "/20132514/0000003700000004/v1_201708310023/S2013251417301153/v1_201708310023/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Differences between 2nd and 3rd generation seric parathormone determination methods on mortality in haemodialysis patients" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "389" "paginaFinal" => "396" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Laura Rodríguez-Osorio, Concepción de la Piedra, Mercedes Rubert, Marta Martín-Fernández, María Luisa González Casaus, Carolina Gracia-Iguacel, Jesús Egido, Ricardo Villa-Bellosta, Emilio González Parra" "autores" => array:9 [ 0 => array:3 [ "nombre" => "Laura" "apellidos" => "Rodríguez-Osorio" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 1 => array:3 [ "nombre" => "Concepción" "apellidos" => "de la Piedra" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 2 => array:3 [ "nombre" => "Mercedes" "apellidos" => "Rubert" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 3 => array:3 [ "nombre" => "Marta" "apellidos" => "Martín-Fernández" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 4 => array:3 [ "nombre" => "María Luisa" "apellidos" => "González Casaus" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 5 => array:3 [ "nombre" => "Carolina" "apellidos" => "Gracia-Iguacel" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 6 => array:3 [ "nombre" => "Jesús" "apellidos" => "Egido" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 7 => array:3 [ "nombre" => "Ricardo" "apellidos" => "Villa-Bellosta" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 8 => array:4 [ "nombre" => "Emilio" "apellidos" => "González Parra" "email" => array:1 [ 0 => "egonzalezpa@senefro.org" ] "referencia" => array:4 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] 3 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:5 [ 0 => array:3 [ "entidad" => "Servicio de Nefrología, Fundación Jiménez Díaz, Madrid, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Instituto de Investigación Sanitaria, Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Servicio de Laboratorio de Bioquímica, Fundación Jiménez Díaz, Madrid, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Servicio de Análisis Clínicos, Hospital Gómez Ulla, Madrid, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Servicio de Nefrología, Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Madrid, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Diferencias entre los métodos de determinación de 2.ª y 3.ª generación de la parathormona sérica sobre la mortalidad en el paciente en hemodiálisis" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1134 "Ancho" => 1228 "Tamanyo" => 45641 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Changes in PTHbio/PTHi, in relation to the iPTH values (2.ª generation) (pg/ml). (*): <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05; (**): <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01; (***): <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001. <span class="elsevierStyleItalic">Y</span> axis bioPTH/iPTH. <span class="elsevierStyleItalic">X</span> axis iPTH (pg/ml).</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The Parathyroid Hormone (PTH) is a 84 amino acids protein with a established role in the regulation of mineral metabolism; main target organs are the bone and kidneys among others. In spite of being a hormone, in the case of the renal patient, it is classified as a true uremic toxin because it increases progressively with the progression chronic kidney disease (CKD), and it responsible for multiple systemic effects.<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">1,2</span></a> It is included as one of the uremic toxins that cause cardiovascular damage.<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">3,4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The control of PTH is important for the adequate treatment of the abnormalities of mineral metabolism in CKD. Therefore much of the therapeutic efforts aimed at controlling these alterations are dedicated to an adequate control of PTH. Nevertheless, in hemodialysis patients PTH is a poor marker of mortality. Only large studies have revealed that high PTH values that are related to higher mortality. And in these studies the results are variable.<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">4–8</span></a> However, other molecules such as calcium and phosphorus have shown a better prognostic significance on mortality, along with vitamin D, although with the later the results have been less conclusive.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">9,10</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Circulating PTH includes a mixture of peptides such as the whole molecule 1–84 and smaller fragments resulting from the catabolism of PTH, these are called non-1–84 or carboxyterminal fragments. Only PTH 1–84 (whole protein) exert biological activity. Some of the carboxyterminal fragments have a PTH antagonistic action. PTH is cleared by the kidney and the proportion of these PTH peptides varies according to the CKD stage. The methods currently used to measure PTH in clinical practice are of two categories. The so-called 2nd generation that measures the intact 1–84 PTH (PTHi) and multitude of fragments no 1–84. The 3rd generation method, also called PTHbio, recently marketed, quantify the PTH 1–84 only, although its use is not generalized yet.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">11,12</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">In an attempt to integrate the information provided bay the measurement of both molecules, some authors have advocated the utility of the proportion (ratio) of these molecules by the ratio PTHbio/PTHi as a marker of the bone remodeling<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">13,14</span></a> and mortality.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">15</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">In clinical practice, there are currently two criteria to define the normal values of PTH. The first, and most classic, is based on histomorphometry as defined by the Guides KDOQI<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">16</span></a> and the Guidelines SEN.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">17</span></a> At that time, based on bone biopsies, bone abnormalities were present if PTHi was lower than150<span class="elsevierStyleHsp" style=""></span>pg/ml or above 300<span class="elsevierStyleHsp" style=""></span>pg/ml. The range of normality were established according to relationship of iPTH with the lesions observed in the bone biopsy.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">18</span></a> These values still exist in most of the recommendations. The other criterion is mortality. There are several studies that find increased mortality with high iPTH values; much higher than 300<span class="elsevierStyleHsp" style=""></span>pg/ml. Thus, the more recent KDIGO Guidelines<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">19</span></a> defined adequate iPTH as 2–9 times above the normal values. However, not all nephrologists were completely convinced with this recommendation. The recent COSMOS study has found that in a large cohort of patients followed for 5 years, the PTH values associated with less mortality are fin the range of 168–674<span class="elsevierStyleHsp" style=""></span>pg/ml,<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">20</span></a> very similar to the KDIGO recommendations. The authors of the COSMOS study recommend modifying the reference values of PTHi based on bone histomorphometric studies, by PTH values based on survival. Although there are contradictory results, it seems that the mortality associated with serum PTH describes a J shape curve, with higher mortality in patients with lower and higher PTH values. But there is also significant variability between the different PTH 2nd generation commercial kits<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">21</span></a> which makes it difficult to interpret the results.</p><p id="par0030" class="elsevierStylePara elsevierViewall">The variability in PTH measurements poses several problems when interpreting their values, and deciding the target values to be achieved when treating a renal patient. What would be the normal values?, those based on histomorphometric studies?, the ones based on mortality?, both?; which method use to measure the PTH, 2nd or 3rd generation?</p><p id="par0035" class="elsevierStylePara elsevierViewall">The present study evaluated the differences in mortality prediction using PTH values obtained with measurement of 2nd and 3rd generation in a group of hemodialysis patients followed for 2 years. In addition, we have evaluated the PTHbio/PTHi ratio as a possible marker of mortality, in case the ratio of the circulating molecules could be a marker. In addition, we have analyzed the association between mortality and serum iPTH levels recommended by KDOQI (150–300<span class="elsevierStyleHsp" style=""></span>pg/ml) and the range obtained by COSMOS (168–674<span class="elsevierStyleHsp" style=""></span>pg/ml). So the values of PTH that best predict mortality were determined.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Material and methods</span><p id="par0040" class="elsevierStylePara elsevierViewall">This is a two-year prospective study performed under daily clinical practice conditions. The main objective of this study was to determine the association of serum PTH with hemodialysis patient survival. It included 145 hemodialysis patients from a single center, who underwent a baseline analytical determination, followed by a follow-up of two years. We determined clinical parameters and baseline analysis in which PTH was determined by 2 different methods, 2nd and 3rd generation, as well as calcium, phosphorus, alkaline phosphatase and bone alkaline phosphatase, FGF23, 25 (OH)-vitamin D, and bone remodeling markers. The values of PTH-intact (PTHi) or PTH of 2nd generation were determined by an electrochemiluminescence method using the Elecsys autoanalyzer (Roche); this method uses an antibody directed against amino acids 26–32 of the molecule and another against the aminoacids 55–64. Therefore it does not detect short carboxyterminal fragments, but this method measures PTH 1–84 and long PTH fragments 7–84 and amino-PTH11 (intra- and inter-assay coefficients of variation are <2.5 and <3% respectively and sensitivity of 1.2<span class="elsevierStyleHsp" style=""></span>pg/ml method). The PTHi values were normalized to the Allegro PTHi using the formulas given by the Spanish Society of Nephrology (SEN). The values of PTH of 3rd generation or PTH-bio were determined by an electrochemiluminescence method also using the Elecsys autoanalyzer (Roche), which uses an antibody directed against amino acids 1–4 of the molecule and another against aminoacids 55–64, thus measuring the molecule 1–84 and the amino-PTH11 (coefficients of intra- and inter-assay variation are <3 and <6% respectively and the sensitivity of the method is 5.50<span class="elsevierStyleHsp" style=""></span>pg/ml). Normal values of PTHb were defined as 50% of the value of PTH.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">15</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">The ratio of PTHbio/PTHi molecules was also calculated in order to determine the proportion of PTH fragments 7–84.</p><p id="par0050" class="elsevierStylePara elsevierViewall">A registry of deceased patients (of any cause) was recorded at year 1 and 2, and general analytical parameters of mineral metabolism, inflammation and nutrition were determined. In both the annual and the two-year follow-up, the PTH was measured using the 2nd generation method.</p><p id="par0055" class="elsevierStylePara elsevierViewall">The ADVIA CENTAUR 2400 autoanalyzer was used for the measurements of serum albumin (bromocresol green dye binding technique; intra- and inter-assay coefficients of variation were <1.3 and <2% and the sensitivity of the method was 1<span class="elsevierStyleHsp" style=""></span>g/dl). Serum calcium (arsenazo III technique, coefficients of intra- and inter-assay variation are <1.2 and <2%, and the sensitivity of the method is 0.5<span class="elsevierStyleHsp" style=""></span>mg/dl), serum creatinine (alkaline picrate technique, intra- and inter-assay variation are <3.1 and <4%, and the sensitivity of the method is 0.2<span class="elsevierStyleHsp" style=""></span>mg/dl), serum phosphate (UV phosphomolybdate technique; intra- and interassay coefficients of variation are <2, 2 and <3%, and the sensitivity of the method is 0.3<span class="elsevierStyleHsp" style=""></span>mg/dl), total serum proteins (biuret technique, intra- and inter-assay coefficients of variation are <1.3 and <2%, and sensitivity of the method is 2<span class="elsevierStyleHsp" style=""></span>g/dl), PCR (turbidimetric technique enhanced with latex, coefficients of intra- and interassay variation are <4.9 and <6%, and the sensitivity of the method is 0.003<span class="elsevierStyleHsp" style=""></span>mg/dl), and serum alkaline phosphatase (hydrolysis p-nitrophenyl phosphate; Coefficients of intra- and interassay variation are <1.9 and <2.4%, and the sensitivity of the method is 5<span class="elsevierStyleHsp" style=""></span>U/l).</p><p id="par0060" class="elsevierStylePara elsevierViewall">Serum prealbumin values were determined by turbidimetry in a SPA plus autoanalyzer, with intra- and interassay coefficients of variation being <4.4 and <6% respectively and a sensitivity of 0.006<span class="elsevierStyleHsp" style=""></span>g/l.</p><p id="par0065" class="elsevierStylePara elsevierViewall">The values of total vitamin D (25 [OH] vitamin D2 and D3) were determined by an electrochemiluminescence method performed on the Elecsys autoanalyzer (Roche) with coefficients of intra- and inter-assay variation respectively <7.5% and <8% and sensitivity of 3<span class="elsevierStyleHsp" style=""></span>ng/ml.</p><p id="par0070" class="elsevierStylePara elsevierViewall">Plasma (C-terminal) fibroblast growth factor 23 (FGF-23) was determined by an ELISA method (Immutopics, USA) using 2 polyclonal antibodies directed to the C-terminal fraction of FGF-23 (coefficients Of intra- and inter-assay variation are <1.7 and <3.5% respectively and the sensitivity of the method is 1.5<span class="elsevierStyleHsp" style=""></span>RU/ml).</p><p id="par0075" class="elsevierStylePara elsevierViewall">The bone isoenzyme of alkaline phosphatase was determined in serum by ELISA (OSTASE BAP, IDS, UK) (coefficients of intra- and inter-assay variation are <4.5 and <6.4% respectively and the sensitivity of the method is 0.7<span class="elsevierStyleHsp" style=""></span>Mg/l).</p><p id="par0080" class="elsevierStylePara elsevierViewall">The determination of the C-terminal propeptide of procollagen type I (PINP) and the β-Cross Laps (β-CTX) in serum was performed by electrochemiluminescence in the Elecsys autoanalyzer (Roche) (for PINP coefficients of intra- and interassay variation are <2.9 and <3.7% respectively and the sensitivity of the method is 5<span class="elsevierStyleHsp" style=""></span>μg/l; for β-CTX, coefficients of intra- and interassay variation are <4.6 and <4.7% respectively and sensitivity of the method is 0.07<span class="elsevierStyleHsp" style=""></span>ng/ml).</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0085" class="elsevierStylePara elsevierViewall">A prospective study including 145 hemodialysis patients was conducted for two year period; 49% were women. <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows baseline clinical and biochemistry data of the patients studied. 85.1% of the patients was on some type vitamin D receptor activator, and 17.9% received cinacalcet.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">Twenty one patients died during the first year follow-up, and 28 in the second year. Potential Clinical and biochemical variables analytical that correlate with mortality are shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>. The parameters related to mortality were albumin, prealbumin, C-reactive protein, ProBNP, creatinine, age, vascular access type, and bone alkaline phosphatase. However, the PTH values of both the 2nd (PTHi) and the 3rd generation (PTHbio) and the ration PTHi/PTHbio of the patients who died were not different than in patients that remained alive.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">The main objective of this study is to define the effect on the mortality of PTH values of both 2nd and 3rd generation, as the ratio between both. Second generation PTH (PTHi) and third generation PTH (PTHbio) have a good correlation within each other. The correlations of PTH from 2nd and the 3rd generation, with other molecules of the mineral metabolism are similar (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">The ratio PTHbio/PTHi decreases as la PTHi values increases suggesting that non 1–84 fragments increase secondary to a degradation of the PTH 1–84 (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">When patients were stratified by PTH intervals, a significant increase in mortality was observed in patients with extreme PTHi values: greater than 678<span class="elsevierStyleHsp" style=""></span>pg/ml and less than 150<span class="elsevierStyleHsp" style=""></span>pg/ml, compared to the group of patients with PTH between 150 and 300<span class="elsevierStyleHsp" style=""></span>pg/ml (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>); although the mortality is higher among patients with PTHi between 300 and 678<span class="elsevierStyleHsp" style=""></span>pg/ml than in those whose PTHi is 150–300<span class="elsevierStyleHsp" style=""></span>pg/ml (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>), this difference did not reach statistical significance. With the PTHbio calculated as 50% of the PTHi the differences are not significant in the same intervals.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall">Comparison of mortality in the PTH range recommended by the current SEN and KDOQI PTHi guidelines (150–300<span class="elsevierStyleHsp" style=""></span>pg/ml) and the values established by the COSMOS study (164–678<span class="elsevierStyleHsp" style=""></span>pg/ml) (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>), the relative risk of mortality is only significant with PTH greater than 300<span class="elsevierStyleHsp" style=""></span>pg/ml and less than 150<span class="elsevierStyleHsp" style=""></span>pg/ml. This implies that patients with PTHi greater than 300 have higher mortality only when patients with PTHi greater than 678<span class="elsevierStyleHsp" style=""></span>pg/ml are included. In our study, iPTH showed a better predictive value of mortality than bioPTH, taking 150–300 (75–150)<span class="elsevierStyleHsp" style=""></span>pg/ml as a reference, but it is due to the patients with highest PTH values (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>).</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">No differences were observed in bioPTH/iPTH ratio between patients who died and those who did not. Likewise, no differences in mortality were observed when the PTHbio/PTHi ratio was analyzed by quintiles, so bioPTH/iPTH ratio does not appear to be a marker of mortality (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). The bioPTH/iPTH value higher than 0.8 has a higher mortality, but given the small group of patients this difference is not significant.</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0120" class="elsevierStylePara elsevierViewall">In renal patients, abnormalities of mineral metabolism are a risk for cardiovascular disease.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">22</span></a> However, among the parameters of mineral metabolism PTH has a relatively low weight as a marker of morbidity and mortality in the renal patient. In our study we observed that PTH is not a marker of mortality when analyzed in conjunction with other factors of greater influence such as age, years on dialysis, albumin or vascular access. However, it is an important modulator of all alterations of mineral metabolism, so its control should not be neglected. As we observed, PTHb and PTHi correlate very well with other parameters such as phosphorus, FGF23, bone alkaline phosphatase and years of dialysis. All these parameters are associated with morbimortality. In fact, many research groups find a greater interest in combining several parameters of mineral metabolism as a marker of mortality.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">9</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">The main objective of this work has been to define PTH as a marker of mortality and the reference values that should used in daily practice.</p><p id="par0130" class="elsevierStylePara elsevierViewall">The relationship between iPTH and mortality is controversial. Although most studies find that PTHi is a marker of mortality some authors did not.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">9</span></a> The established range of 150–300<span class="elsevierStyleHsp" style=""></span>pg/ml were based on histomorphometric criteria, but these values are also the inflection points in mortality. The meta-analysis of Natoli et al.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">8</span></a> described PTH related mortality as a <span class="elsevierStyleItalic">J</span> curve. We also a J-shaped mortality curve where values with lower mortality are within the PTHi range of 150–300<span class="elsevierStyleHsp" style=""></span>pg/ml.</p><p id="par0135" class="elsevierStylePara elsevierViewall">Like other authors,<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">23</span></a> we found a correlation between iPTH and bioPTH. Thus once adjusted, the values of normality could be used interchangeably. In addition, both determinations correlate with the same clinical and analytical parameters, so it appears that one method does not have an advantage over the other. It is known that as the glomerular filtration rate decreases there is an increase in non-1–84 fragments.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">24</span></a> It is remarkable to see that as the 1–84 PTH increases, the fragments are also increased even to a greater extent than the 1–84 PTH molecule itself. As non-1–84 fragments are antagonists of 1–84 PTH it could be assumed that at a higher iPTH, the systemic effects, especially bone, would be reduced by these molecules. This aspect deserves to be investigated in order to know its relevance. The changes in the proportion of these fragments are important when defining the normal values of bioPTH.</p><p id="par0140" class="elsevierStylePara elsevierViewall">However, in our study we did not observe that patients with a low PTHb/PTHI ratio had a lower mortality due to an increase in the 7–84 fragments, suggesting that the PTH 1–84 molecule has a relevant role in the mortality of these patients.</p><p id="par0145" class="elsevierStylePara elsevierViewall">The normal values of bioPTH are defined as 54% of iPTHi.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">15</span></a> However, in our study, it was observed that this proportion varies according to the iPTH values. That is, at higher 1–84 PTH the non-1–84 PTH fragments increase to a greater extent than the 1–84 PTH itself. Therefore, the normal values of 1–84 PTH measured by 3rd generation methods in the hemodialysis patient are not known at present, as they are not yet formally established in any guideline recommendations. According to our results, limits of bioPTH should be narrow, since elevations of 1–84 PTH are accompanied by an even greater proportional increase non 1–84 PTH fragments; this should be considered when establishing normal values for bioPTH. It is not known how to interpret the values of bioPTH after eliminating the distortion factor of fragments non 1–84 PTH, since there are no studies to that end. The assumption of bioPTH as 50–54% of the iPTH does not seem correct, as it does not correspond to reality. A multicenter study should be performed with a large number of patients to define these values.</p><p id="par0150" class="elsevierStylePara elsevierViewall">The COSMOS study finds that a iPTH of 674<span class="elsevierStyleHsp" style=""></span>ng/ml may be established as the upper limit of the reference interval in terms of mortality. Like other authors<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">25</span></a> we did not find, that a higher mortality in patients with iPTH between 300 and 674 than in those with iPTH between 150 and 300<span class="elsevierStyleHsp" style=""></span>ng/ml. These results should make us cautious before establishing the value of 678<span class="elsevierStyleHsp" style=""></span>ng/ml as the upper reference value. Mortality is significant above 678<span class="elsevierStyleHsp" style=""></span>pg/ml, but we should never consider that figure as a safe value. Statistical significance should not make us think that an increase in iPTHi up to 9 times normal values is safe. Such a high iPTH value may cause alterations of the mineral metabolism that may have negative repercussion in the renal patient. There is a confidence zone between 300 and 678<span class="elsevierStyleHsp" style=""></span>pg/ml in which mortality is low but we think that being near 300 is safer than 678<span class="elsevierStyleHsp" style=""></span>pg/ml.</p><p id="par0155" class="elsevierStylePara elsevierViewall">The bioPTH (1–84)/PTHi (1–84 PTH<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>non 1–84 PTH) ratio has been evaluated as a marker of bone histomorphometric changes and as a predictor of mortality. However the evidence is still sparse. Like in the study by Melamed et al.,<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">15</span></a> our results show that the ratio is not associated with mortality. Other authors have found that ratio bioPTH/iPTH is a good marker of mortality in men on hemodialysis.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">26</span></a> Those patients with higher values of ratio bioPTH/iPTH ratio would have a higher mortality.</p><p id="par0160" class="elsevierStylePara elsevierViewall">Our study has several limitations. The sample of patients studied is small, since a larger group of extreme PTH values is necessary. Another limitation of our study is to have performed bio PTH at baseline only and not being repeated in successive time points.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conclusions</span><p id="par0165" class="elsevierStylePara elsevierViewall">According to our results the values of PTHi defined by histomorphometric criteria are well-established limits of mortality in hemodialysis patients, the 300<span class="elsevierStyleHsp" style=""></span>pg/ml value defines better the cutoff point of mortality than the 674 value defined in the COSMOS study, although the mortality between 150–300 and 300–678<span class="elsevierStyleHsp" style=""></span>pg/ml is the same. The 3rd generation of PTH measurement method that define the bioPTH do not add more precision to define defining mortality. The normal values of iPTH are not well defined, so the iPTH and bioPTH may not be compared with the values currently stablished. The ratio bioPTH/iPTH ratio is not a good marker of mortality.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conflicts of interest</span><p id="par0170" class="elsevierStylePara elsevierViewall">Roche Spain has sponsored the measurements of bioPTH, and has had no role in the design or the preparation of this publication.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:12 [ 0 => array:3 [ "identificador" => "xres889236" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:1 [ "identificador" => "abst0005" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec874954" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres889237" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:1 [ "identificador" => "abst0030" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec874955" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Material and methods" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Conclusions" ] 9 => array:2 [ "identificador" => "sec0030" "titulo" => "Conflicts of interest" ] 10 => array:2 [ "identificador" => "xack297269" "titulo" => "Acknowledgements" ] 11 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2016-01-13" "fechaAceptado" => "2016-11-17" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec874954" "palabras" => array:6 [ 0 => "Haemodialysis" 1 => "Parathormone" 2 => "PTH bio" 3 => "Intact PTH" 4 => "Mortality" 5 => "Cardiovascular" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec874955" "palabras" => array:6 [ 0 => "Hemodiálisis" 1 => "Parathormona" 2 => "PTH bio" 3 => "PTH intacta" 4 => "Mortalidad" 5 => "Cardiovascular" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Parathormone plays a key role in controlling mineral metabolism. PTH is considered a uremic toxin causing cardiovascular damage and cardiovascular mortality in dialysis patients. There are two different assays to measure PTH called 2nd generation or intact PTH (iPTH) and 3rd generation or bioPTH (PTHbio).</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To evaluate the differences in mortality of dialysis patients between both assays to measure PTH, as well as the possible prognostic role of the PTHbio/iPTH ratio.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">145 haemodialysis patients were included with 2-year monitoring including baseline laboratory test and annually thereafter.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">21 patients died in the first year and 28 in the second. No correlation was found between PTH, PTHbio and PTHbio/iPTH ratio with mortality. Both PTH have a perfect correlation between them and correlate similarly with other molecules of the mineral metabolism. The extreme baseline values of PTH are those of higher mortality. In survival by iPTH intervals (according to guidelines and COSMOS study), a <span class="elsevierStyleItalic">J</span> curve is observed. When iPTH increases, the ratio decreases, possibly when increasing fragments no. 1–84. There is no greater prognostic approximation on mortality with PTHbio than PTHi. There was also no difference in mortality when progression ratio PTHbio/PTHi was analysed.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">We didn’t find any advantages to using bioPTH vs. PTHi as a marker of mortality. BioPTH limits of normality must be reevaluated because its relationship with iPTH is not consistent. Not knowing these limits affects its prognostic value.</p></span>" "secciones" => array:5 [ 0 => array:1 [ "identificador" => "abst0005" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">La paratohormona tiene un papel fundamental en el control del metabolismo mineral. Además es considerada como una toxina urémica al originar daño cardiovascular e influir en la mortalidad cardiovascular del paciente en diálisis. Existen dos métodos de medición denominados de 2.ª generación o PTH intacta (PTHi) y de 3.ª generación o bioPTH (PTHbio).</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Evaluar las diferencias en la mortalidad del paciente en diálisis entre ambas formas de medición de PTH, así como el posible papel pronóstico de su cociente.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron 145 pacientes en hemodiálisis con un seguimiento de 2 años con determinación analítica basal y posteriormente de forma anual.</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Veintiún pacientes fallecieron el primer año y 28 el segundo. No se encontró correlación entre PTHi, PTHbio y cociente PTHbio/PTHi con la mortalidad. Ambas PTH tienen una buena correlación entre ellas y correlacionan de manera similar con otras moléculas del metabolismo mineral. Los valores basales de PTH extremos son los de mayor mortalidad. En la supervivencia por tramos de PTHi (según guías y estudio COSMOS) se observa una curva en J. A mayor aumento de PTHi el cociente desciende, posiblemente al aumentar los fragmentos no 1-84. No existe una mayor aproximación pronóstica sobre mortalidad con PTHbio que con PTHi. No se observan diferencias en el valor predictivo del cociente sobre la mortalidad. Tampoco hubo diferencias en mortalidad cuando se analiza la progresión del cociente PTHbio/PTHi.</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">No encontramos ventajas en la utilización de PTHbio sobre la PTHi como marcador de mortalidad. Se deben reevaluar los límites de la PTHbio pues su relación con la PTHi no es constante. El no conocer esos límites condiciona su utilidad pronóstica.</p></span>" "secciones" => array:5 [ 0 => array:1 [ "identificador" => "abst0030" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Rodríguez-Osorio L, de la Piedra C, Rubert M, Martín-Fernández M, González Casaus ML, Gracia-Iguacel C, et al. Diferencias entre los métodos de determinación de 2.ª y 3.ª generación de la parathormona sérica sobre la mortalidad en el paciente en hemodiálisis. Nefrología. 2017;37:389–396.</p>" ] ] "multimedia" => array:7 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1134 "Ancho" => 1228 "Tamanyo" => 45641 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Changes in PTHbio/PTHi, in relation to the iPTH values (2.ª generation) (pg/ml). (*): <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05; (**): <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01; (***): <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001. <span class="elsevierStyleItalic">Y</span> axis bioPTH/iPTH. <span class="elsevierStyleItalic">X</span> axis iPTH (pg/ml).</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1164 "Ancho" => 1481 "Tamanyo" => 97313 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Mortality according to the PTH reference values established by SEN guidelines, KDOQI guidelines and the COSMOS study.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1118 "Ancho" => 1505 "Tamanyo" => 82678 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Mortality in relation to the bioPTH/iPTH ratio. <span class="elsevierStyleItalic">Y</span> axis: mortality (%); <span class="elsevierStyleItalic">X</span> axis (0.4–0.5)(0.5–0.6)(0.6–0.7)(0.7–0.8)(0.8–0.9); ratio(bioPTH/iPTH).</p>" ] ] 3 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:3 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Variable</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age (years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">65.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Dry weight (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">65.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Vintage (years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Mean 3 (P25-2; P75-6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Males (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">51 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" 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="2" align="left" valign="top"><span class="elsevierStyleItalic">Vascular access (%)</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>AVF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">60.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>PTFE (politetrafluoroetileno) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Permanent catheter \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" 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="2" align="left" valign="top"><span class="elsevierStyleItalic">Hemodilalysis technique (%)</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Conventional \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">90 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>On-line \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hypertension (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">86.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Diabetes mellitus (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Dyslipemia (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">35.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1502144.png" ] ] 1 => 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="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">M</span><span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Hemoglobin (g/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Hematocrit (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Urea (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">117.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>36.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Proteins (g/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Albumin (g/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Iron (μg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>28 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Fe saturation index (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Calcium (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Phosphate (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">CO<span class="elsevierStyleInf">2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Total cholesterol (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">158<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>35 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Prealbumin (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">33<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Ferritin (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">406<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>242 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1502142.png" ] ] 2 => 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="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Mean (P25;P75) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Bone alkaline phosphatase (μg/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29.6 (20.7;41.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">PINP (μg/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">255.3 (161.2;486.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">β-CTX (ng/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.8 (1.3;2.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">PTH 2.ª gen (iPTH) (pg/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">205 (116.5;386.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">PTH 3.ª gen (bioPTH) (pg/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119.5 (76.2; 240 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Ratio bioPTH/iPTH \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.61 (0.56;0.68) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">25OH- D (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22.9 (12.7;34.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Creatinine (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.6 (5.6;9.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Alkaline phosphatase (UI/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">111 (89;145) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Triglycerides (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">146 (102;193) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">C reactive protein (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6 (0.25;1.97) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ProBNP (pg/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8325 (3422;17450) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">FGF-23 (RU/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">788 (384;3258) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1502141.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Demographic and clinical characteristics; and, baseline biochemistry of the study population.</p>" ] ] 4 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "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="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">No exitus \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Exitus \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Age (years) <span class="elsevierStyleItalic">M</span><span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>DE \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">62.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14;9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">73.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Vintage Me (P25,P75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (2;5.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (3;7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.027 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Permanent catheter (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Albumin (g/dl) <span class="elsevierStyleItalic">M</span><span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>DE \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.72<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.48 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.51<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.42 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.0138 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Prealbmin (mg/dl) <span class="elsevierStyleItalic">M</span><span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>DE \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">35.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.0008 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Bone alkaline phosphatase (μg/l) Me (P25,P75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">26.8 (19.7;31.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">31.4 (22.4;45.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.037 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Creatinine (mg/dl) Me (P25,P75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8 (5.8;9.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6.6 (5.5;8.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.018 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">CRP (mg/dl) Me (P25,P75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.25 (0.25;1.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.3 (0.25;3.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ProBNP (pg/ml) Me (P25,P75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6590 (2778;14450) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14,100 (6580;34000) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1502140.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Variables significantly related with mortality.</p>" ] ] 5 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "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="table-head " align="left" valign="top" scope="col">Variable \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">iPTH</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">bioPTH</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">25OH-D (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.034 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.033 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">FGF-23 (RU/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.296 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.0003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.228 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.006 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Alkaline phosphatase (UI/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.268 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.0012 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.254 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.0022 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Bone alkaline phosphatase (μg/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.342 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.0000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.338 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.0000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Calcium (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.050 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Phosphate (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.326 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.295 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.0003 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1502146.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Correlation of PTH 2.ª y 3.ª generation with other molecules of mineral metabolism.</p>" ] ] 6 => array:7 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:2 [ 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="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Guides<br>iPTH \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Exitus<br>No/yes \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC95%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Guides<br>bioPTH \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Exitus<br>No/yes \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC95%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">150–300 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">34/8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75–150 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">24/6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top"><150 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27/19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.99 (1.14–7.88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.024 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29/19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.62 (0.90–7.60) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">>300 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27/20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.15 (1.20–8.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.017 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>150 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">35/23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.63 (0.93–7.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1502145.png" ] ] 1 => 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="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Cosmos<br>iPTH \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Exitus<br>No/yes \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC95%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Cosmos<br>BioPTH \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Exitus<br>No/yes \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC95%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">168–674 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">47/22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84–337 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">56/27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top"><168 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36/20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.19 (0.56–2.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><84 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">25/15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.24 (0.57–2.74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">>674 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5/6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.56 (0.71–9.32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>337 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7/7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.07 (0.66–6.51) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1502143.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Mortality in patients with PTH within reference values established by Guides SEN and KDOQI (150–300<span class="elsevierStyleHsp" style=""></span>pg/ml) and COSMOS (168–674<span class="elsevierStyleHsp" style=""></span>pg/ml) using iPTH and bio PTH methods.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:26 [ 0 => array:3 [ "identificador" => "bib0135" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence of abnormal serum vitamin D, PTH, calcium, and phosphorus in 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PI16/01298. <span class="elsevierStyleGrantSponsor" id="gs1">FEDER</span> funds ISCIII-RETIC REDinREN/RD06/0016, <span class="elsevierStyleGrantNumber" refid="gs1">RD12/0021</span>.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/20132514/0000003700000004/v1_201708310023/S2013251417301207/v1_201708310023/en/main.assets" "Apartado" => array:4 [ "identificador" => "38706" "tipo" => "SECCION" "es" => array:2 [ "titulo" => "Editorial" "idiomaDefecto" => true ] "idiomaDefecto" => "es" ] "PDF" => "https://static.elsevier.es/multimedia/20132514/0000003700000004/v1_201708310023/S2013251417301207/v1_201708310023/en/main.pdf?idApp=UINPBA000064&text.app=https://revistanefrologia.com/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251417301207?idApp=UINPBA000064" ]
Year/Month | Html | Total | |
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2024 November | 8 | 10 | 18 |
2024 October | 37 | 33 | 70 |
2024 September | 53 | 31 | 84 |
2024 August | 59 | 59 | 118 |
2024 July | 35 | 24 | 59 |
2024 June | 48 | 38 | 86 |
2024 May | 44 | 28 | 72 |
2024 April | 58 | 37 | 95 |
2024 March | 39 | 25 | 64 |
2024 February | 52 | 31 | 83 |
2024 January | 41 | 19 | 60 |
2023 December | 39 | 26 | 65 |
2023 November | 55 | 29 | 84 |
2023 October | 60 | 26 | 86 |
2023 September | 47 | 23 | 70 |
2023 August | 37 | 24 | 61 |
2023 July | 38 | 26 | 64 |
2023 June | 37 | 21 | 58 |
2023 May | 52 | 29 | 81 |
2023 April | 35 | 13 | 48 |
2023 March | 65 | 24 | 89 |
2023 February | 40 | 14 | 54 |
2023 January | 44 | 27 | 71 |
2022 December | 70 | 24 | 94 |
2022 November | 71 | 34 | 105 |
2022 October | 53 | 39 | 92 |
2022 September | 44 | 35 | 79 |
2022 August | 58 | 42 | 100 |
2022 July | 28 | 37 | 65 |
2022 June | 47 | 39 | 86 |
2022 May | 54 | 47 | 101 |
2022 April | 41 | 49 | 90 |
2022 March | 53 | 52 | 105 |
2022 February | 49 | 46 | 95 |
2022 January | 48 | 38 | 86 |
2021 December | 38 | 39 | 77 |
2021 November | 51 | 40 | 91 |
2021 October | 47 | 33 | 80 |
2021 September | 39 | 39 | 78 |
2021 August | 34 | 35 | 69 |
2021 July | 30 | 43 | 73 |
2021 June | 38 | 23 | 61 |
2021 May | 34 | 38 | 72 |
2021 April | 118 | 66 | 184 |
2021 March | 80 | 31 | 111 |
2021 February | 81 | 33 | 114 |
2021 January | 54 | 19 | 73 |
2020 December | 80 | 13 | 93 |
2020 November | 42 | 20 | 62 |
2020 October | 36 | 20 | 56 |
2020 September | 49 | 24 | 73 |
2020 August | 53 | 20 | 73 |
2020 July | 52 | 9 | 61 |
2020 June | 41 | 20 | 61 |
2020 May | 43 | 14 | 57 |
2020 April | 48 | 16 | 64 |
2020 March | 50 | 15 | 65 |
2020 February | 42 | 23 | 65 |
2020 January | 63 | 29 | 92 |
2019 December | 68 | 26 | 94 |
2019 November | 65 | 27 | 92 |
2019 October | 52 | 15 | 67 |
2019 September | 65 | 17 | 82 |
2019 August | 27 | 13 | 40 |
2019 July | 34 | 18 | 52 |
2019 June | 43 | 23 | 66 |
2019 May | 41 | 25 | 66 |
2019 April | 103 | 36 | 139 |
2019 March | 57 | 30 | 87 |
2019 February | 48 | 23 | 71 |
2019 January | 33 | 22 | 55 |
2018 December | 190 | 51 | 241 |
2018 November | 289 | 31 | 320 |
2018 October | 250 | 31 | 281 |
2018 September | 128 | 19 | 147 |
2018 August | 71 | 25 | 96 |
2018 July | 56 | 20 | 76 |
2018 June | 50 | 16 | 66 |
2018 May | 105 | 15 | 120 |
2018 April | 113 | 15 | 128 |
2018 March | 97 | 13 | 110 |
2018 February | 150 | 8 | 158 |
2018 January | 83 | 9 | 92 |
2017 December | 134 | 7 | 141 |
2017 November | 77 | 11 | 88 |
2017 October | 44 | 9 | 53 |
2017 September | 67 | 21 | 88 |
2017 August | 12 | 0 | 12 |