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Un mayor número de hormonas anormales se asocia con menor supervivencia.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "María del Carmen Prado-Uribe, María-de-Jesús Ventura, Marcela Ávila-Díaz, Carmen J. Mora, Antonio Méndez-Durán, Diana Villanueva-Noches, Alejandra Cisneros, Begoña Ilabaca, Alfonso Cueto-Manzano, Fernando García-Contreras, Bengt Lindholm, Elvia García-López, Ramón Paniagua" "autores" => array:13 [ 0 => array:2 [ "nombre" => "María del Carmen" "apellidos" => "Prado-Uribe" ] 1 => array:2 [ "nombre" => "María-de-Jesús" "apellidos" => "Ventura" ] 2 => array:2 [ "nombre" => "Marcela" "apellidos" => "Ávila-Díaz" ] 3 => array:2 [ "nombre" => "Carmen J." 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the role of iron therapy" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Aleix Cases Amenós, Raquel Ojeda López, José María Portolés Pérez" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Aleix" "apellidos" => "Cases Amenós" ] 1 => array:2 [ "nombre" => "Raquel" "apellidos" => "Ojeda López" ] 2 => array:2 [ "nombre" => "José María" "apellidos" => "Portolés Pérez" ] 3 => array:1 [ "colaborador" => "en representación del Grupo de Anemia de la S.E.N." ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2013251417301931" "doi" => "10.1016/j.nefroe.2017.11.009" "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/S2013251417301931?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699517301017?idApp=UINPBA000064" "url" => "/02116995/0000003700000006/v2_201712010640/S0211699517301017/v2_201712010640/es/main.assets" ] "en" => array:20 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Telomerase activity in patients with stage 2–5D chronic kidney disease" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "592" "paginaFinal" => "597" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Veysel Kidir, Ayse Aynali, Atila Altuntas, Salih Inal, Buket Aridogan, Mehmet Tugrul Sezer" "autores" => array:6 [ 0 => array:4 [ "nombre" => "Veysel" "apellidos" => "Kidir" "email" => array:1 [ 0 => "veyselkdr@gmail.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Ayse" "apellidos" => "Aynali" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "Atila" "apellidos" => "Altuntas" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "Salih" "apellidos" => "Inal" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "Buket" "apellidos" => "Aridogan" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 5 => array:3 [ "nombre" => "Mehmet Tugrul" "apellidos" => "Sezer" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Division of Nephrology, Department of Internal Medicine, Suleyman Demirel University Medical Faculty, Isparta, Turkey" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Department of Medical Microbiology, Suleyman Demirel University Medical Faculty, Isparta, Turkey" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Actividad de la telomerasa en pacientes en etapas de 2-5D con enfermedad renal crónica" ] ] "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" => 941 "Ancho" => 1585 "Tamanyo" => 64601 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Telomerase activity in relation to CKD stage.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Epidemiological studies have shown that biological age is older than chronologic age in chronic kidney disease (CKD) patients.<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">1–3</span></a> Molecular mechanisms of increased cardiovascular mortality in CKD associated with biological age are not well understood. Recent studies suggest that factors such as cellular aging and telomere dysfunction may be the responsible factors.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">4–6</span></a> Studies conducted in hemodialysis patients have shown that telomere length in peripheral blood mononuclear cells (PBMC) was reduced compared to healthy individuals, irrespective of age and gender.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">7,8</span></a> Telomerase enzyme maintains the length and structure of telomeres, thus provides longer cell survival.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">9,10</span></a> Telomerase activity in PBMC was found significantly lower in hemodialysis patients compared to the healthy control group.<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">11</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Telomerase activity levels in various CKD stages and its relation to CKD progression are not well understood. This study was aimed to determine the relation between telomerase activity and CKD stages.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Materials and method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Study design and patient assignment</span><p id="par0015" class="elsevierStylePara elsevierViewall">This study was approved by the University Clinical Research Ethics Committee with approval number 2014/35 and was conducted with the support of Scientific Research Projects Coordination Unit. Written consent was obtained from all participants. This cross-sectional study was conducted at the Süleyman Demirel University Medical School Nephrology Department between May 2014 and November 2014. The study included 120 patients who were followed-up for CKD stage 2–5D, composed of 30 patients of each stage, and 30 healthy volunteers.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Inclusion criteria were age over 18 years and having CKD stage 2–5D diagnosis. Exclusion criteria included presence of an acute infection and a malignancy and using immunosuppressive therapy.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Blood sampling</span><p id="par0025" class="elsevierStylePara elsevierViewall">Complete blood count, blood levels of fasting blood glucose, serum creatinine (Cr), sodium (Na), potassium (K), calcium (Ca), phosphorus (P), albumin, alanine aminotransferase (ALT), aspartat aminotransferase (AST), uric acid, triglyceride, total cholesterol, LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), 25-hydroxy-vitamin D (25(OH)D), parathormone (iPTH), C-reactive protein (CRP) and spot urine protein/creatinine (Upr/Ucr) values were measured in each patient. Blood samples of hemodialysis patients were collected just before mid-week dialysis session. Body mass index (BMI) was calculated. Estimated GFR (eGFR) levels were calculated using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">12</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Measurement of telomerase activity in PBMC</span><p id="par0030" class="elsevierStylePara elsevierViewall">Telomerase activity in PBMC was measured using TeloTAGGG Telomerase PCR ELISA kit (Roche Applied Science, Indianapolis, IN, USA) with telomeric repeat amplification protocol (TRAP) method.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">13</span></a> All samples with an optical density 450<span class="elsevierStyleHsp" style=""></span>nm<span class="elsevierStyleHsp" style=""></span>≥<span class="elsevierStyleHsp" style=""></span>0.2 were considered telomerase positive.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">14</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Statistical analysis</span><p id="par0035" class="elsevierStylePara elsevierViewall">Data analysis was performed using SPSS for Windows 15.0 software. Results were expressed as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation or percent values. Chi-square test, variance analysis (ANOVA) and Kruskal–Wallis variance analysis tests were used for group comparisons. Tukey's HSD test was used for post hoc analysis. Associations between qualitative variables were assessed by Spearman's or Pearson's correlation analysis. A multivariate linear regression model was used to estimate the independent effects of various predictors (analyzed variables were age, BMI, eGFR, platelet count, serum Ca, K, LDL-C, iPTH) on telomerase activity. The level of statistical significance was <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><p id="par0040" class="elsevierStylePara elsevierViewall">Mean age was 58.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.4 years in the control group and 59.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.4 years in the patient group (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.05). Baseline characteristics of the patient groups are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Patient groups were similar regarding BMI and smoking (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.05). Among the CKD stage 5D patients, 20 were on hemodialysis while 10 were on peritoneal dialysis. Mean dialysis duration for dialysis patients was 31.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>29.7 (range, 4–120) months.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0045" class="elsevierStylePara elsevierViewall">In CKD stage 5D patients, serum Ca (8.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.8<span class="elsevierStyleHsp" style=""></span>mg/dl), serum albumin (3.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5<span class="elsevierStyleHsp" style=""></span>g/dl) and hemoglobin levels (11.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.7<span class="elsevierStyleHsp" style=""></span>g/dl) and eGFR (7.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.2<span class="elsevierStyleHsp" style=""></span>ml/min.) were significantly lower (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) while serum Cr (7.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.1<span class="elsevierStyleHsp" style=""></span>mg/dl), serum P (4.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.1<span class="elsevierStyleHsp" style=""></span>mg/dl), iPTH (323<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>216<span class="elsevierStyleHsp" style=""></span>pg/ml) levels and Upr/Ucr ratio (3.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.4) were significantly higher (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). Serum LDL-C levels were found highest in CKD stage 2 patients (124<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>45<span class="elsevierStyleHsp" style=""></span>mg/dl) (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.026) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><p id="par0050" class="elsevierStylePara elsevierViewall">Comorbidity rates for CKD patients were, hypertension 64.2%, diabetes mellitus 29.2%, coronary artery disease 11.7% and heart failure 5.8%. Hypertension was most prevalent in CKD stage 4 patients (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Telomerase activity in PBMC</span><p id="par0055" class="elsevierStylePara elsevierViewall">Telomerase activity in PBMC was positive in 86% (26/30) of CKD stage 5D patients while healthy control group was only 3% positive (1/30). Telomerase activity was increased with CKD stage (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>) (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). A significant difference was found for telomerase activity between patient and control groups (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). The levels were lowest in the healthy control group (0.15<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.02) and highest in CKD stage 5 group (0.23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.04). Telomerase activities in PBMC were similar in CKD stages 2, 3 and 4 (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.05) while in stage 5 CKD it was significantly higher compared to the other stages (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). It was significantly lower in the healthy control group compared to all other groups (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">Dialysis patients were grouped according to dialysis duration (median duration 20 months); among the 30 patients dialysis duration was long (range 39–120 months) in 6 of the patients and short (range 4–38 months) in 24 of the patients. Telomerase activity in PBMC was similar in both subgroups (0.24<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.03, 0.23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.03; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.05).</p><p id="par0065" class="elsevierStylePara elsevierViewall">In CKD patients, telomerase activity in PBMC was positively correlated with CKD stage (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.412, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) serum Cr (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.404, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), serum K (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.189, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.038) and iPTH levels (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.245, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.007) and; negatively correlated with BMI (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.248, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006), eGFR (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.407, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), platelet count (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.252, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006), LDL-C (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.243, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.007) and serum Ca levels (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.357, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). A positive correlation was found between telomerase activity and age in healthy controls (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.623, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001).</p><p id="par0070" class="elsevierStylePara elsevierViewall">Telomerase activity in CKD patients and dependent variables age, BMI, eGFR, platelet count, serum Ca, LDL-C, iPTH and K levels were evaluated by linear regression analysis. Only eGFR and BMI were found to be independent predictors for high telomerase activity (<span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.257, <span class="elsevierStyleItalic">β</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001 for eGFR, CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.001 to 0.000, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.020; <span class="elsevierStyleItalic">β</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.001 for BMI, CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.003 to 0.000, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.020) (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>).</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">To our knowledge, unlike the previous studies, the current study is the first to report increased telomerase activity in PBMC in CKD patients. In this study, telomerase activity in PBMC was found significantly increased in CKD patients compared to healthy controls. This increase was found independent of age, gender, inflammation, hyperlipidemia and hyperparathyroidism but it was correlated with eGFR and BMI.</p><p id="par0080" class="elsevierStylePara elsevierViewall">Telomere length was reported to decrease independent of age and gender in hemodialysis patients.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">7,8</span></a> In renal cells of cats with CKD, increased cellular aging and short telomeres were detected accompanied by normal telomerase activity.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">15</span></a> Tsirpanlis et al. reported that telomerase activity in PBMC was lower in hemodialysis patients compared to the healthy control group.<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">11</span></a> In contrast with this study, telomerase activity in PBMC was found increased in our study. Despite being an unexpected result, higher prevalence of diabetes in CKD stage 5D patients in our study might be the reason for high detected telomerase activity considering high telomerase activity reported in patients with metabolic syndrome in previous studies.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">16</span></a> Additionally, insignificantly lower BMI in CKD stage 5D patients might have contributed to the detected high telomerase activity in this subgroup. Thus, previous studies have reported that obesity associated with telomere shortening.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">17–19</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">Telomerase activity was reported to decrease with age.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">20</span></a> Although no correlation was found between age and telomerase activity in CKD patients, a positive correlation was detected between age and telomerase activity in the healthy controls in our study. This may be associated with other factors other than age that influence telomerase activity.</p><p id="par0090" class="elsevierStylePara elsevierViewall">The combination of high telomerase activity and short telomere was suggested to be a sign of activated cell stress.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">21</span></a> Epel et al. in their study on caregivers of dementia patients found increased telomerase activity in PBMC accompanied by increased serum cortisol levels related to acute psychological stress.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">22</span></a> Lack of acute stress and serum cortisol levels assessments is a limitation of this study. Further studies may clarify this issue.</p><p id="par0095" class="elsevierStylePara elsevierViewall">Telomerase activity in PBMC was reported to be potentially associated with inflammation.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">23</span></a> In cell cultures, increased telomerase activity in macrophages was shown in response to inflammatory stimulants.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">24</span></a> In the study by Rentoukas et al. telomerase activity in PBMC, IL6, TNFα and asymmetric dimethylarginine (ADMA) levels were found significantly higher in metabolic syndrome patients compared to healthy controls. Additionally, a positive correlation was observed between telomerase activity and ADMA levels while no correlation was found between telomerase activity and IL6 or TNFα.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">16</span></a> In this study, CRP was the only evaluated inflammatory marker. A significant relation was not found between telomerase activity in PBMC and CRP. However, this result may be due to the fact that this study excluded patients with acute infection.</p><p id="par0100" class="elsevierStylePara elsevierViewall">Lin et al. measured telomerase activity and telomere length in various subtypes of T and B cells (CD4+, CD8<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>CD28+ and CD8<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>CD28− T and B cells). They found the longest telomere and highest telomerase activity was in B cells, while shortest telomere and lowest telomerase activity was in CD8<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>CD28− cells.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">25</span></a> In patients with unstable angina, telomerase activity in polymorphonuclear neutrophils in aterosclerotic plaques was found significantly higher compared to circulating neutrophils and this was suggested to be related to activation of inflammatory cells in early stage of instability and their locally prolonged survival.<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">26</span></a> In our study, telomerase activity assessment in T and B subtypes was lacking since subtype analysis for PBMC was not performed. However, accelerated atherosclerosis and chronic micro-inflammation can be speculated as contributing factors to the findings in this study. Further studies will set light to this issue.</p><p id="par0105" class="elsevierStylePara elsevierViewall">Obesity was reported to accelerate cellular aging and was found associated with telomere shortening.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">17–19</span></a> In our study, high BMI was associated with low telomerase activity in CKD patients. Telomerase activity levels were lower in obese patients. This result supports the previous observations suggesting obesity is related with telomere shortening in CKD patients.</p><p id="par0110" class="elsevierStylePara elsevierViewall">Telomerase activity in PBMC was found negatively correlated with oxidized LDL-C.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">27</span></a> Statin treatment was associated with high telomerase activity and long telomeres, independent from age, lipid levels and inflammation.<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">28</span></a> In our study, unlike previous studies, telomerase activity in PBMC was not associated with LDL-C. This result may be due to the fact that 1/5 of our patients were on statins.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Cross-sectional design and relatively small number of patients and controls are the other limitations of our study.</p><p id="par0120" class="elsevierStylePara elsevierViewall">In conclusion; to our knowledge, this study is important for being the first to evaluate the relation between CKD stages and telomerase activity in PBMC. Based on the results of our study, it can be concluded that telomerase activity in PBMC is increased in CKD patients compared to healthy individuals. Telomerase activity in PBMC is increased with advancing stage in CKD patients and particularly in end-stage renal failure. Confirmation of this result in further studies may open new horizons in prevention of biological aging.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Author contributions</span><p id="par0125" class="elsevierStylePara elsevierViewall">Concept – V.K.; design – V.K., AY.A.; supervision – M.T.S., B.A.; resource – V.K., AY.A.; materials – V.K., AY.A.; data collection and/or processing – V.K., AY.A., AT.A., S.I.; analysis and/or interpretation – V.K., S.I.; literature search – V.K.; writing – V.K.; critical reviews – M.T.S.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conflict of interest</span><p id="par0130" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres949495" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objectives" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec921471" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres949494" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec921472" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Materials and method" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study design and patient assignment" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Blood sampling" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Measurement of telomerase activity in PBMC" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0035" "titulo" => "Results" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Telomerase activity in PBMC" ] ] ] 7 => array:2 [ "identificador" => "sec0045" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0050" "titulo" => "Author contributions" ] 9 => array:2 [ "identificador" => "sec0055" "titulo" => "Conflict of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2016-12-14" "fechaAceptado" => "2017-03-18" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec921471" "palabras" => array:3 [ 0 => "Chronic kidney disease" 1 => "Stage" 2 => "Telomerase" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec921472" "palabras" => array:3 [ 0 => "Enfermedad renal crónica" 1 => "Etapa" 2 => "Telomerasa" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Molecular mechanisms of increased cardiovascular mortality in chronic kidney disease (CKD) associated with biological age are not well understood. Recent studies support the hypothesis that common factors responsible for this phenomenon are cellular aging and telomere dysfunction.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objectives</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The purpose of this study was to investigate the relation between telomerase activity and CKD stages.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The study included 120 patients who were followed-up for CKD stage 2–5D, composed of 30 patients of each stage and 30 healthy volunteers without any known disease who were admitted to our hospital for routine check-ups. Telomerase activity in peripheral blood mononuclear cells (PBMC) was measured using the TRAP assay.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A significant difference was observed for telomerase activity in PBMC between groups. The detected levels were lowest in the healthy control group (0.15<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.02), and highest in CKD stage 5D patients (0.23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.04). In CKD patients, telomerase activity in PBMC was positively correlated with the CKD stage, serum creatinine, potassium and parathormone levels, and negatively correlated with estimated glomerular filtration rate (eGFR), body mass index (BMI), platelet count and serum calcium levels. According to the linear regression analysis, independent predictors for high telomerase activity in CKD patients were eGFR and BMI.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Telomerase activity in PBMC increases with advancing CKD stage in CKD patients. Increased telomerase activity in PBMC is associated with eGFR and BMI.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objectives" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Antecedentes</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Los mecanismos moleculares responsables del aumento de la mortalidad cardiovascular en la enfermedad renal crónica (ERC) asociada a la edad biológica no se conocen bien. Los estudios recientes apoyan la hipótesis de que los factores comunes responsables de este fenómeno son el envejecimiento celular y la disfunción telomérica.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">El objetivo de este estudio fue investigar la relación entre la actividad de la enzima telomerasa y los estadios de ERC.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Métodos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El estudio incluyó a 120 pacientes que fueron seguidos para la ERC en los estadios 2-5D; cada estadio incluyó a 30 pacientes y a 30 voluntarios sanos sin ninguna enfermedad conocida que fueron admitidos en nuestro hospital para los controles periódicos. La actividad de la telomerasa en células mononucleares de sangre periférica (CMSP) se midió usando el método de TRAP.</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Se observó una diferencia significativa en la actividad telomerasa en las CMSP entre los diferentes grupos. Los niveles más bajos fueron los del grupo de controles sanos (0,15<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0,02) y los más altos los del grupo de pacientes con ERC en el estadio 5D (0,23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0,04). En los pacientes con ERC, la actividad telomerasa en las CMSP se correlacionó positivamente con el estadio de ERC y los niveles plasmáticos de potasio, hormona paratiroidea y creatinina, y se correlacionó negativamente con la tasa de filtración glomerular estimada (eTFG), el índice de masa corporal (IMC), el recuento de plaquetas y el calcio en suero. Los predictores independientes para la actividad telomerasa alta en pacientes con ERC fueron la eTFG y el IMC, de acuerdo con el análisis de regresión lineal.</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusión</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">La actividad telomerasa en CMSP aumenta con el avance en el estadio de ERC. El aumento de la actividad telomerasa en CMSP se asocia con la eTFG y el IMC.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">This study was presented at the ASN Kidney Week 2015, 3–8 November 2015, San Diego, USA.</p>" ] ] "multimedia" => array:5 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 941 "Ancho" => 1585 "Tamanyo" => 64601 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Telomerase activity in relation to CKD stage.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">CKD: chronic kidney disease; BMI: body mass index; eGFR: estimated glomerular filtration rate; ALT: alanine aminotransferase; AST: aspartate aminotransferase; LDL-C: low density lipoprotein cholesterol; HDL-C: high density lipoprotein cholesterol; WBC: white blood cell; PLT: platelet; CRP: C-reactive protein; iPTH: intact parathyroid hormone; 25(OH)D: 25-hydroxy vitamin D; Upr/Ucr: protein/creatinine ratio in spot urine; DM: diabetes mellitus; CAD: coronary artery disease. Data are indicated as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation or percent. <span class="elsevierStyleSup">a,b,c,d,e</span>There is a significant difference between the parameters marked with the same letter (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). For the comparison between groups, analysis of variance (ANOVA) or Kruskal–Wallis test was applied, and for the post hoc study Tukey HSD test was used.</p>" "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="" 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">Stage 2<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \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">Stage 3<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \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">Stage 4<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \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">Stage 5D<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">59.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">59.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">59.2<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">59.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.997 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Male, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14 (47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14 (47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14 (47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14 (47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">BMI (kg/m<span class="elsevierStyleSup">2</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">26.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.6 \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Smoking, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8 (27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.093 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">eGFR (ml/dk) \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>8.4<span class="elsevierStyleSup">a,b,c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">37.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.2<span class="elsevierStyleSup">a,d,e</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.5<span class="elsevierStyleSup">b,d,f</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.2<span class="elsevierStyleSup">c,e,f</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Glucose (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">113<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">118<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">115<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>39 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">142<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.068 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Creatinine (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.03<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.1<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.2<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.7<span class="elsevierStyleSup">a,d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.1<span class="elsevierStyleSup">b,c,d</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Sodium (mEq/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">139<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">138<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">133<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">136<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.164 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Potassium (mEq/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.7<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Calcium (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.6<span class="elsevierStyleSup">c,d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5<span class="elsevierStyleSup">a,c,e</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.8<span class="elsevierStyleSup">b,d,e</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Phosphorus (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.7<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.7<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.7<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.1<span class="elsevierStyleSup">a,b,c</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Uric acid (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.197 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Albumin (g/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.3<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.8<span class="elsevierStyleSup">c,d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.4<span class="elsevierStyleSup">a,c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.5<span class="elsevierStyleSup">b,d</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">ALT (U/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">17<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">19<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.940 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">AST (U/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">21<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">22<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">20<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">19<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.748 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Triglyceride (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">166<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">177<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">144<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>71 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">171<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>89 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.436 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">LDL-C (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">124<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>45<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">103<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">96<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">98<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>42 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">HDL-C (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">48<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">44<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">43<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">41<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.104 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Hemoglobin (g/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.8<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.4<span class="elsevierStyleSup">c,d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6<span class="elsevierStyleSup">a,c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.7<span class="elsevierStyleSup">b,d</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">WBC (×10<span class="elsevierStyleSup">3</span>/μl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.877 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PLT (×10<span class="elsevierStyleSup">3</span>/μl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">245<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>51<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">216<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">232<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>61 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">204<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>56<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.040 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">CRP (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.7<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.1<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.7<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.3 \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">iPTH (pg/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">65<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>46<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">97<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>51 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">153<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>102<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">323<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>216<span class="elsevierStyleSup">b</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">25(OH)D (ng/ml) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">15.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.084 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Upr/Ucr \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.2<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.9<span class="elsevierStyleSup">c</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2<span class="elsevierStyleSup">a,d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.4<span class="elsevierStyleSup">b,c,d</span> \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Hypertension, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12 (40)<span class="elsevierStyleSup">a,b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19 (63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">24 (80)<span class="elsevierStyleSup">a</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (77)<span class="elsevierStyleSup">b</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">DM, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7 (23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7 (23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12 (40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.444 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">CAD, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5 (17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.081 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Heart failure, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.255 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1607904.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Baseline clinical and laboratory data of CKD patients.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">CKD: chronic kidney disease. Chi-square test was applied for the comparison between groups.</p>" "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="" 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">N</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">Telomerase positive cases %<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Control \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.3 (1/30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="5" align="left" valign="top"><0.001</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Stage 2 CKD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (6/30) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Stage 3 CKD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.3 (13/30) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Stage 4 CKD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 (9/30) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Stage 5D CKD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">86.6 (26/30) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1607901.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Values in parentheses correspond to: no. of telomerase positive cases/total no. of cases.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Group comparisons for telomerase activity positivity.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">CKD: chronic kidney disease. <span class="elsevierStyleSup">a,b,c,d,e,f,g</span>Data are indicated as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation. There is a significant difference between the parameters marked with the same letter (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). For the comparison between groups, analysis of variance (ANOVA) was applied, and for the post hoc study Tukey HSD test was used.</p>" "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="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Control<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Stage 2<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Stage 3<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Stage 4<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Stage 5D<br>CKD<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col"><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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Telomerase activity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.15<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.02<span class="elsevierStyleSup">a,b,c,d</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.17<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.03<span class="elsevierStyleSup">a,e</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.18<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.03<span class="elsevierStyleSup">b,f</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.18<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.04<span class="elsevierStyleSup">c,g</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.04<span class="elsevierStyleSup">d,e,f,g</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1607902.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Group comparisons for telomerase activity.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">eGFR: estimated glomerular filtration rate; BMI: body mass index. Dependent variables included in the analysis were age, BMI, eGFR, platelet count, Ca, LDL-C, iPTH and K levels.</p>" "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">Parameter \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">B</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">95% Confidence Interval \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><span class="elsevierStyleSup">2</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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">eGFR \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">−0.001 to 0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.020 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.257 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">BMI \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">−0.003 to 0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.020 \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></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1607903.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Linear regression analysis of factors associated with telomerase activity in CKD patients.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:28 [ 0 => array:3 [ "identificador" => "bib0145" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Controlling the epidemic of cardiovascular disease in chronic renal disease: What do we know?, What do we need to learn?. 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año/Mes | Html | Total | |
---|---|---|---|
2024 Noviembre | 8 | 11 | 19 |
2024 Octubre | 81 | 49 | 130 |
2024 Septiembre | 111 | 23 | 134 |
2024 Agosto | 102 | 69 | 171 |
2024 Julio | 79 | 29 | 108 |
2024 Junio | 85 | 36 | 121 |
2024 Mayo | 104 | 40 | 144 |
2024 Abril | 105 | 45 | 150 |
2024 Marzo | 68 | 35 | 103 |
2024 Febrero | 71 | 34 | 105 |
2024 Enero | 56 | 20 | 76 |
2023 Diciembre | 42 | 37 | 79 |
2023 Noviembre | 95 | 37 | 132 |
2023 Octubre | 74 | 39 | 113 |
2023 Septiembre | 63 | 32 | 95 |
2023 Agosto | 93 | 31 | 124 |
2023 Julio | 88 | 29 | 117 |
2023 Junio | 109 | 24 | 133 |
2023 Mayo | 110 | 35 | 145 |
2023 Abril | 44 | 18 | 62 |
2023 Marzo | 74 | 25 | 99 |
2023 Febrero | 57 | 34 | 91 |
2023 Enero | 64 | 35 | 99 |
2022 Diciembre | 104 | 59 | 163 |
2022 Noviembre | 89 | 48 | 137 |
2022 Octubre | 110 | 78 | 188 |
2022 Septiembre | 93 | 60 | 153 |
2022 Agosto | 107 | 55 | 162 |
2022 Julio | 101 | 65 | 166 |
2022 Junio | 63 | 65 | 128 |
2022 Mayo | 76 | 40 | 116 |
2022 Abril | 74 | 83 | 157 |
2022 Marzo | 91 | 66 | 157 |
2022 Febrero | 88 | 53 | 141 |
2022 Enero | 126 | 51 | 177 |
2021 Diciembre | 110 | 68 | 178 |
2021 Noviembre | 88 | 57 | 145 |
2021 Octubre | 143 | 72 | 215 |
2021 Septiembre | 76 | 43 | 119 |
2021 Agosto | 73 | 52 | 125 |
2021 Julio | 71 | 46 | 117 |
2021 Junio | 81 | 45 | 126 |
2021 Mayo | 65 | 71 | 136 |
2021 Abril | 109 | 146 | 255 |
2021 Marzo | 51 | 48 | 99 |
2021 Febrero | 109 | 60 | 169 |
2021 Enero | 47 | 34 | 81 |
2020 Diciembre | 43 | 24 | 67 |
2020 Noviembre | 54 | 30 | 84 |
2020 Octubre | 43 | 39 | 82 |
2020 Septiembre | 51 | 31 | 82 |
2020 Agosto | 50 | 26 | 76 |
2020 Julio | 43 | 24 | 67 |
2020 Junio | 58 | 42 | 100 |
2020 Mayo | 76 | 19 | 95 |
2020 Abril | 43 | 26 | 69 |
2020 Marzo | 56 | 25 | 81 |
2020 Febrero | 71 | 25 | 96 |
2020 Enero | 73 | 27 | 100 |
2019 Diciembre | 75 | 31 | 106 |
2019 Noviembre | 63 | 27 | 90 |
2019 Octubre | 42 | 23 | 65 |
2019 Septiembre | 43 | 22 | 65 |
2019 Agosto | 35 | 29 | 64 |
2019 Julio | 58 | 18 | 76 |
2019 Junio | 26 | 26 | 52 |
2019 Mayo | 44 | 28 | 72 |
2019 Abril | 101 | 62 | 163 |
2019 Marzo | 58 | 30 | 88 |
2019 Febrero | 41 | 33 | 74 |
2019 Enero | 49 | 28 | 77 |
2018 Diciembre | 182 | 62 | 244 |
2018 Noviembre | 285 | 44 | 329 |
2018 Octubre | 287 | 21 | 308 |
2018 Septiembre | 135 | 24 | 159 |
2018 Agosto | 81 | 40 | 121 |
2018 Julio | 70 | 27 | 97 |
2018 Junio | 89 | 30 | 119 |
2018 Mayo | 130 | 24 | 154 |
2018 Abril | 165 | 17 | 182 |
2018 Marzo | 227 | 19 | 246 |
2018 Febrero | 138 | 8 | 146 |
2018 Enero | 140 | 14 | 154 |
2017 Diciembre | 275 | 15 | 290 |
2017 Noviembre | 161 | 29 | 190 |
2017 Octubre | 84 | 16 | 100 |
2017 Septiembre | 98 | 25 | 123 |
2017 Agosto | 77 | 19 | 96 |
2017 Julio | 60 | 11 | 71 |