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"apellidos" => "Banegas" "email" => array:1 [ 0 => "joseramon.banegas@uam.es" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:8 [ 0 => array:3 [ "entidad" => "Departamento de Medicina Preventiva y Salud Pública, Facultad de Medicina, Universidad Autónoma de Madrid/IdiPAZ-CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Unidad de Gestión Clínica de Nefrología, Hospital Universitario Central de Asturias, Red de Investigación Renal (RedinRen), Oviedo, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Sociedad Española de Nefrología, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Departamento de Ciencias de la Salud, Universidad Católica Santa Teresa de Jesús de Ávila, Ávila, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Instituto de Investigación, Unidad de Hipertensión, Servicio de Nefrología, Hospital Universitario 12 de Octubre, School of Doctoral Studies and Research, Universidad Europea de Madrid, Madrid, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Unidad de Gestión Clínica de Nefrología, Hospital Universitario Reina Sofía, RedinRen, Córdoba, Spain" "etiqueta" => "f" "identificador" => "aff0030" ] 6 => array:3 [ "entidad" => "Servicio de Nefrología, Hospital Torrecárdenas, Almería, Spain" "etiqueta" => "g" "identificador" => "aff0035" ] 7 => array:3 [ "entidad" => "Unidad de Nefrología, Hospitales HM, Madrid, Spain" "etiqueta" => "h" "identificador" => "aff0040" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding authors</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Prevalencia de enfermedad renal crónica en España: impacto de la acumulación de factores de riesgo cardiovascular" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1562 "Ancho" => 2328 "Tamanyo" => 176393 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Prevalence of chronic kidney disease according to clustering of cardiovascular risk factors in subjects with no established cardiovascular disease.</p> <p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Cardiovascular risk factors considered were: age, hypertension, obesity, abdominal obesity, smoking, high LDL-cholesterol, low HDL-cholesterol, high triglycerides, diabetes, and sedentary habit.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">In the past two decades, chronic kidney disease (CKD) has become a leading public health problem worldwide.<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">1,2</span></a> The burden of CKD basically results from two components. First, treatment of advanced CKD, also termed as chronic kidney failure or end-stage renal disease (ESRD), which requires dialysis and/or kidney transplantation; it affects to only 1% of subjects with CKD, but dramatically reduces life expectancy and constitutes one of the most expensive treatment for chronic disease. In fact, this account for 5% of the annual health budget, which is spent on less than 1% of the population.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">1</span></a> Second, CKD, even in early stages, is closely associated with higher total and cardiovascular mortality and morbidity in the general population and in subjects with increased risk of cardiovascular disease (CVD); thus it affects to a large number of individuals.<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">2,3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Early identification of CKD is considered a priority in public health to slow progression to ESRD and to prevent CVD morbidity and mortality. Reduction of burden and costs of CKD should be included in national health programs,<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">4</span></a> and estimation of CKD prevalence in the population is of key importance to support prevention and management of CKD in healthcare systems.<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">5,6</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">An analysis of worldwide data has shown that nearly 500 million adults suffer from CKD.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">7</span></a> Several studies have reported a wide variation in the prevalence of CKD across European and non-European countries,<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">8–10</span></a> which might be due to clinical, environmental, geographic, and even socio-economic variables, but also to methodological issues.<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">4,7,10</span></a> A recent report of the European CKD Burden Consortium recommended methodological standards to harmonize reporting of CKD prevalence.<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">6</span></a> Furthermore, CKD is usually associated with major CVD risk factors,<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">11–13</span></a> but few studies have delved into this aspect that is promising for prevention.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Previous European studies do not reflect the actual prevalence of CKD in European countries such as Spain.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">10</span></a> Thus, we used a population-based, nationally representative survey of the adult population of Spain (i) to estimate the prevalence of CKD according to currents definition of CKD and reporting methodology,<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">1,6</span></a> and (ii) to examine the impact of the increasing number of CVD risk factors on the prevalence of CKD. All these aspects could have important clinical and public health implications for planning care and prevention of CKD at the population level.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study design and participants</span><p id="par0025" class="elsevierStylePara elsevierViewall">Data were taken from the ENRICA (Study on Nutrition and Cardiovascular Risk in Spain), whose methods have been reported previously.<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">14–17</span></a> Briefly, this is a cross-sectional study conducted from June 2008 to October 2010 with 12,948 individuals representative of the non-institutionalized population of Spain aged ≥18 years. Participants were selected by multistage clustered random sampling. The sample was first stratified by province and by size of municipality. Clusters were then selected randomly in 2 stages, municipalities and census sections. Finally, the households within each section were selected by random landline telephone dialing. Subjects in the households were selected proportionally to sex- and age-distribution of the population of Spain. Information was collected by telephone interview, face-to-face interview, physical examination, and by taking blood and urine samples in the households.</p><p id="par0030" class="elsevierStylePara elsevierViewall">The study protocol was approved by the clinical research ethics committees of the <span class="elsevierStyleItalic">Hospital Universitario La Paz</span> in Madrid and the <span class="elsevierStyleItalic">Hospital Clínic</span> in Barcelona. All study participants gave written informed consent for the study.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Data collection and variable definition</span><p id="par0035" class="elsevierStylePara elsevierViewall">Weight, height, and waist circumference were measured twice in each subject under standardized conditions using electronic scales (model Seca 841, precision to 0.1<span class="elsevierStyleHsp" style=""></span>kg), portable extendable stadiometers (model Ka We 44 444Seca), and flexible, inelastic belt-type tapes. Body mass index (BMI) was calculated as weight in kg divided by squared height in m.</p><p id="par0040" class="elsevierStylePara elsevierViewall">Blood pressure (BP) measurement was performed by certified trained personnel, using standardized procedures with validated automatic devices (model Omron M6) and cuffs of three sizes according to arm circumference. Two sets of BP readings were made separated by 90<span class="elsevierStyleHsp" style=""></span>min. In each set, BP was measured 3 times at 1–2<span class="elsevierStyleHsp" style=""></span>min intervals, after a 3–5<span class="elsevierStyleHsp" style=""></span>min resting period. For analyses, BP was calculated as the mean of the last five readings. Study participants reported their smoking status. Physical activity was assessed with the questionnaire from the EPIC (European Prospective Investigation into Cancer) study in Spain,<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">18</span></a> which combines physical activity at work and during leisure time into 4 levels (very active, moderately active, moderately inactive, and inactive). Individuals also reported physician-diagnosed CVD. All variables were defined according to international guidelines.<a class="elsevierStyleCrossRefs" href="#bib0215"><span class="elsevierStyleSup">19,20</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Laboratory and kidney function measurements</span><p id="par0045" class="elsevierStylePara elsevierViewall">Participants provided 12-hour fasting blood and spot urine samples at their homes. Laboratory determinations were performed centrally at the Center of Biological Diagnosis of the Hospital Clínic in Barcelona, using standard procedures and appropriate quality controls.<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">14–17</span></a> Serum glucose, hemoglobin A1c, total cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides were determined by enzymatic methods, and low-density lipoprotein (LDL) cholesterol by the Friedewald formula. Creatinine was determined by Jaffé, alcalin picrate by kinetic reaction, and microalbumin by polyethylene glycol-enhanced immunoturbidimetry.</p><p id="par0050" class="elsevierStylePara elsevierViewall">CKD was defined according to current Kidney Disease: Improving Global Outcomes (KDIGO) guidelines using estimated glomerular filtration rate (eGFR) calculated with the CKD – Epidemiology Collaboration (CKD-EPI) equation, and albuminuria measured by the albumin-to-creatinine ratio (ACR).<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">1</span></a> CKD was defined as either a low eGFR (<60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) or an increased ACR (≥30<span class="elsevierStyleHsp" style=""></span>mg/g). Subjects were classified according the KDIGO GFR 6-category staging (grades G1, G2, G3a, G3b, G4, and G5 corresponding to eGFR ≥90, 60–89, 45–59, 30–44, 15–29, and <15<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, respectively), and albuminuria 3-category staging (A1, A2, and A3 corresponding to ACR <30, 30–300, and >300<span class="elsevierStyleHsp" style=""></span>mg/g, respectively). Then, 6 CKD grades were established (G1 CKD for G1 eGFR with increased albuminuria A2 or A3, G2 CKD for G2 eGFR with increased albuminuria A2 or A3, G3a CKD for G3a eGFR with either normoalbuminuria A1 or increased albuminuria A2 or A3, G3b CKD for G3b eGFR with either normoalbuminuria A1 or increased albuminuria A2 or A3, G4 CKD for G4 eGFR with either normoalbuminuria A1 or increased albuminuria A2 or A3, and G5 CKD for G5 eGFR with either normoalbuminuria A1 or increased albuminuria A2 or A3. Subjects were also classified according the prognostic KDIGO 6 × 3 table (6 eGFR categories × 3 albuminuria categories) to estimate percentages of subjects at moderately increased risk, high risk, and very high risk of complications from CKD.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Cardiovascular risk definitions</span><p id="par0055" class="elsevierStylePara elsevierViewall">A total of 10 classic CVD risk factors were assessed: age, hypertension, general obesity, abdominal obesity, current smoking, diabetes, increased LDL cholesterol, low HDL-cholesterol, hypertriglyceridemia, and sedentary habit. Risk age was considered >65 years for women and >55 years for men. Hypertension was defined as systolic BP ≥140<span class="elsevierStyleHsp" style=""></span>mmHg, and/or diastolic BP ≥90<span class="elsevierStyleHsp" style=""></span>mmHg, and/or on current antihypertensive drug treatment.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">19</span></a> Obesity was defined as BMI was ≥30<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, and abdominal obesity as waist circumference was >88<span class="elsevierStyleHsp" style=""></span>cm in women and >102<span class="elsevierStyleHsp" style=""></span>cm in men. Diabetes was defined as glucose ≥126<span class="elsevierStyleHsp" style=""></span>mg/dL or glycosylated hemoglobin ≥6.5%, or using oral antidiabetic drugs or insulin.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">20</span></a> Increased LDL cholesterol was >115<span class="elsevierStyleHsp" style=""></span>mg/dL, low HDL-cholesterol was <46<span class="elsevierStyleHsp" style=""></span>mg/dL in women and <40<span class="elsevierStyleHsp" style=""></span>mg/dL in men, and hypertriglyceridemia was >150<span class="elsevierStyleHsp" style=""></span>mg/dL, and hypercholesterolemia was total cholesterol >190<span class="elsevierStyleHsp" style=""></span>mg/dL, or receiving lipid-lowering drugs.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">19</span></a> Sedentary habit was considered when physical activity was less than moderate. In participants with no previous CVD, the 10-year risk of CVD death was estimated using the SCORE (Systematic COronary Risk Evaluation) equation for low-risk European regions, which includes Spain, being high risk considered when risk was ≥5%.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">19</span></a></p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analyses</span><p id="par0060" class="elsevierStylePara elsevierViewall">Of the 12,948 study participants, the following were excluded because lacking data: 1251 on BP, sociodemographic or clinical variables, or laboratory values other than kidney-related parameters, and 192 on serum creatinine or albuminuria. Thus, 11,505 individuals were valid for the analyses (88.9% of the total sample).</p><p id="par0065" class="elsevierStylePara elsevierViewall">Analyses accounted for the complex sampling design, so individual observations were weighted to reconstruct the Spanish population, and the variances were corrected to obtain appropriate 95% confidence intervals (CI) for the main results. The Student <span class="elsevierStyleItalic">t</span> test and ANOVA were used to compare means and the <span class="elsevierStyleItalic">χ</span><span class="elsevierStyleSup">2</span> test was used to compare proportions. Trends in prevalence of CKD across stage, age, and number of CV risk factors were also calculated (<span class="elsevierStyleItalic">P</span> for trend).</p><p id="par0070" class="elsevierStylePara elsevierViewall">Finally, we performed multivariate logistic regression of factors associated with CKD. Sociodemographic variables and cardiovascular risk factors that were statistically significant in univariate analyses or considered a priori clinically relevant were selected for multivariable analyses. Results were summarized with odds ratios and their 95% confidence intervals [CI].</p><p id="par0075" class="elsevierStylePara elsevierViewall">Statistical significance was set at 2-sided <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05. The analyses were performed with the SPSS package 18.0 (IBM, Armonk, NY).</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Results</span><p id="par0080" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows main characteristics of study participants. They had a mean age of 47 years, 20.3% were older than 65 years, and 50.7% were women. About 23% of individuals had obesity and 35.4% abdominal obesity. Moderated to severe sedentary habit affected more than 60% of study participants. One out of three individuals showed hypertension, being the prevalence of diabetes, smoking habit, and hypercholesterolemia 6.7%, 27.2%, and 54.0%, respectively. CVD was present in 2.2% of subjects.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">CKD was present in 15.1% of individuals (95% confidence interval 14.3–16.3%) (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). Stage 3a was the more frequent grade of CKD affecting 10.0% of subjects. Prevalences of stages 1, 2, 3b, 4, and 5 were 1.5%, 1.8%, 1.6%, 0.2%, and 0.0%, respectively. Prevalence of CKD was more than 3-fold higher in men than in women (23.1% vs. 7.3%), and sharply increased with age (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). In every age strata, CKD was more frequent in men than in women, being these differences particularly wider in the middle age group (4.6 times higher), and in the older age group (3.6 times higher). Also, CKD prevalence was more frequent among those with than without CVD (39.8% vs. 14.6%, respectively, <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> shows the distribution of CKD by GFR and albuminuria categories of the KDIGO guidelines.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">1</span></a> The majority of subjects with CKD (80.6% of those with CKD, and 12.2% of the total sample) corresponded to cases at moderate risk of CKD complications. About 2.1% of subjects (13.9% of those with CKD) had high risk of CKD complications, and 0.9% (5.5% of those were at very high risk).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">Individuals with CKD were older than subjects with normal renal parameters (61.5 vs. 44.4 years), and were predominantly men (75.4%) (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>). Every clinical and analytical variable related to cardiovascular risk was more prevalent within CKD subjects, in particular obesity, hypertension, and diabetes. The exception was smoking, being more frequent within subjects with no CKD, probably due to reverse causality. As a result, cardiovascular risk SCORE was 3 times higher in subjects with CKD. Prevalence of established CVD was nearly 4 times higher in individuals with CKD. <a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a> shows that in multivariable analysis, age, male gender, physically inactivity, hypertension, diabetes, low HDL-cholesterol and CVD, were independently associated with CKD.</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">The impact of clustering of up to 10 CVD risk factors on the prevalence of CKD in subjects without CVD is shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>. CKD affected 4.5% of subjects with 0–1 CV risk factors, and then increased from 10.4% to 52.3% in those with 2 to 8–10 CV risk factors (<span class="elsevierStyleItalic">P</span> trend <0.001). The prevalence of CKD in subjects with 3 CVD risk factors (16.6%) was similar to that of the total sample (15.1%). Up to one of three subjects had 4 or more CV risk factors; in this subgroup of individuals prevalence of CKD raised from 21% to more than 50%.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Discussion</span><p id="par0105" class="elsevierStylePara elsevierViewall">This nationwide study, using recent recommendations about methodology for reporting CKD prevalence,<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">6</span></a> showed that CKD affected one in seven adults in Spain. Stage 3a CKD was the main responsible of CKD in the population. Prevalence of CKD sharply increased with age, being younger women the subgroup with the lowest prevalence, and older men the subgroup with the highest prevalence. Importantly, the prevalence of CKD increased continuously with the number of CVD risk factors. This is additional evidence consistent with the concept that CKD could be considered as a cardiovascular condition in the population.</p><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Comparison of CKD prevalence with other studies</span><p id="par0110" class="elsevierStylePara elsevierViewall">The prevalence of CKD worldwide is 11.8% in women and 0.4% in men.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">7</span></a> There are huge geographic differences (from 4.1% in Saudi-Arabian women to 25.7% in men from El Salvador), and by income status (8.6% in men and 9.6% in women in high-income countries vs. 10.6% in men and 12.5% in women in low- and middle-income countries). In China the estimated CKD prevalence in adults was 10.8%.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">8</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">In Europe CKD prevalence ranges from 3.3% in Norway to 17.3% in northeast Germany.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">10</span></a> In Spain, the prevalence of CKD in the present study was higher than in a previous and much smaller study conducted in 42 municipalities (9.2%),<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">21</span></a> probably reflecting changes over time and methodological differences between studies. In the United States, stage 1–4 CKD prevalence in adults >20 years was 13.1% in the early 2000s, and 13.7% in US Hispanics/Latinos.<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">5,9</span></a> From the data available, we can derive that, methodological differences aside, the prevalence of CKD in Spain is comparable to that in the United States and higher than in many European countries.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">10</span></a></p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Impact of cardiovascular risk factor clustering on CKD prevalence: clinical and population implications</span><p id="par0120" class="elsevierStylePara elsevierViewall">CVD is common in patients with CKD, and frequently underdiagnosed and undertreated.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">20</span></a> Current European guidelines on CVD prevention<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">22</span></a> indicate that ‘microalbuminuria’ and/or a moderately reduced eGFR (30–60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) confers high risk for CVD, and proteinuria and/or a severely reduced eGFR (<30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) should to be considered as very high risk situations. CKD is associated with an increased risk of CVD, independent of conventional CVD risk factors, which are known to be more common in patients with CKD. In addition, inflammatory mediators and promoters of calcification induce vascular damage and may explain the association CKD–CVD even after adjustment for conventional risk factors.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">13,23</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">In agreement with previous population-based studies,<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">5,8,9</span></a> prevalence of situations at high or very high risk according to KDIGO score where low. In our study the prevalence of an eGFR <30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> was 0.20%, and that of proteinuria was 0.30%. Thus, most of adults showing CKD had situations at moderate risk of cardio-renal complications.</p><p id="par0130" class="elsevierStylePara elsevierViewall">The prevalence of CKD was higher as the number of CVD risk factors increased. Most subjects had 2–6 CVD risk factors and a relatively moderate risk of having CKD. That's where lies the potential for prevention of CKD and its complications using both high-risk individual and moderate-risk population strategies. In particular, as in some other studies,<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">5,8,9,24</span></a> people who are older, men, with hypertension, diabetes, low HDL-cholesterol, sedentary, or with CVD are at high risk and should be screened for CKD.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Strengths and limitations</span><p id="par0135" class="elsevierStylePara elsevierViewall">Main strengths of this study are the representativeness of adults at the countrywide level, large sample size, and the use of international methodological standards. This study has also some limitations. As most population-based surveys, we did not follow patients for 3 months to confirm CKD. This is necessary to diagnose CKD in the individual patient, but the implications of using a single determination for eGFR and albuminuria in epidemiological studies remain to be assessed. In addition, we did not include institutionalized population, who is usually old and sick; it may have underestimate the prevalence of CKD. Also, some selection bias cannot be ruled out, as the main reason for not participating in the study was to avoid a blood draw. Lastly, the cross-sectional design impeded to obtain causal conclusions on CKD correlates.</p></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conclusion</span><p id="par0140" class="elsevierStylePara elsevierViewall">The prevalence of CKD in Spain was around 15%, a percentage far higher than previously reported in our country and comparable with figures in the United States. Also, there was a continuously increasing prevalence of CKD with the rising clustering of CVD risk factors, which suggests that CKD may be regarded as a quantifiable metric of cardiovascular risk. In addition, CKD could be considered as a cardiovascular condition in the population.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Funding</span><p id="par0145" class="elsevierStylePara elsevierViewall">This study received funding from Fondo de Investigación Sanitaria (FIS) (Instituto de Salud Carlos III and FEDER/FSE) grants number 13/02321, PI16/01460. The funding agencies had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Conflicts of interest</span><p id="par0150" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:12 [ 0 => array:3 [ "identificador" => "xres1127236" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1060954" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1127235" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1060953" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study design and participants" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Data collection and variable definition" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Laboratory and kidney function measurements" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Cardiovascular risk definitions" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Statistical analyses" ] ] ] 6 => array:2 [ "identificador" => "sec0040" "titulo" => "Results" ] 7 => array:3 [ "identificador" => "sec0045" "titulo" => "Discussion" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0050" "titulo" => "Comparison of CKD prevalence with other studies" ] 1 => array:2 [ "identificador" => "sec0055" "titulo" => "Impact of cardiovascular risk factor clustering on CKD prevalence: clinical and population implications" ] 2 => array:2 [ "identificador" => "sec0060" "titulo" => "Strengths and limitations" ] ] ] 8 => array:2 [ "identificador" => "sec0065" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0070" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0075" "titulo" => "Conflicts of interest" ] 11 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2018-01-16" "fechaAceptado" => "2018-04-04" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1060954" "palabras" => array:5 [ 0 => "Chronic kidney disease" 1 => "Prevalence" 2 => "Cardiovascular disease" 3 => "Epidemiology" 4 => "Public health" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1060953" "palabras" => array:5 [ 0 => "Enfermedad renal crónica" 1 => "Prevalencia" 2 => "Enfermedad cardiovascular" 3 => "Epidemiología" 4 => "Salud pública" ] ] ] ] "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">Chronic kidney disease (CKD) is a public health problem worldwide. We aimed to estimate the CKD prevalence in Spain and to examine the impact of the accumulation of cardiovascular risk factors (CVRF).</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">We performed a nationwide, population-based survey evaluating 11,505 individuals representative of the Spanish adult population. Information was collected through standardized questionnaires, physical examination, and analysis of blood and urine samples in a central laboratory. CKD was graded according to current KDIGO definitions. The relationship between CKD and 10<span class="elsevierStyleHsp" style=""></span>CVRF was assessed (age, hypertension, general obesity, abdominal obesity, smoking, high LDL-cholesterol, low HDL-cholesterol, hypertriglyceridemia, diabetes and sedentary lifestyle).</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Prevalence of CKD was 15.1% (95% CI: 14.3–16.0%). CKD was more common in men (23.1% vs. 7.3% in women), increased with age (4.8% in 18–44 age group, 17.4% in 45–64 age group, and 37.3% in ≥65), and was more common in those with than those without cardiovascular disease (39.8% vs. 14.6%); all <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001. CKD affected 4.5% of subjects with 0–1<span class="elsevierStyleHsp" style=""></span>CVRF, and then progressively increased from 10.4% to 52.3% in subjects with 2 to 8–10<span class="elsevierStyleHsp" style=""></span>CVRF (<span class="elsevierStyleItalic">P</span> trend <0.001).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">CKD affects one in seven adults in Spain. The prevalence is higher than previously reported and similar to that in the United States. CKD was particularly prevalent in men, older people and people with cardiovascular disease. Prevalence of CKD increased considerably with the accumulation of CVRF, suggesting that CKD could be considered as a cardiovascular condition.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducción</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La enfermedad renal crónica (ERC) constituye un problema de salud pública a nivel mundial. Los objetivos de este estudio fueron estimar la prevalencia de ERC en España y evaluar el impacto de la acumulación de factores de riesgo cardiovascular (FRCV) en la prevalencia.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Análisis del Estudio de Nutrición y Riesgo Cardiovascular en España (ENRICA), estudio epidemiológico de ámbito nacional, de base poblacional, con una muestra de 11.505 sujetos representativos de la población adulta española. La información se recogió mediante cuestionarios estandarizados, exploración física y colección de muestras de sangre y orina que se analizaron en un laboratorio centralizado. La ERC se definió según las guías KDIGO en curso. Se analizó la relación de la ERC con 10<span class="elsevierStyleHsp" style=""></span>FRCV (edad, hipertensión arterial, obesidad, obesidad abdominal, tabaquismo, colesterol LDL elevado, colesterol HDL disminuido, hipertrigliceridemia, diabetes y sedentarismo.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La prevalencia de ERC fue del 15,1% (IC<span class="elsevierStyleHsp" style=""></span>95%: 14,3-16,0). La ERC fue más frecuente en varones (23,1% vs. 7,3% en mujeres), según aumentaba la edad (4,8% en sujetos de 18-44<span class="elsevierStyleHsp" style=""></span>años, 17,4% en sujetos de 45-64<span class="elsevierStyleHsp" style=""></span>años, y 37,3% en sujetos ≥65<span class="elsevierStyleHsp" style=""></span>años), y en sujetos con enfermedad cardiovascular (39,8% vs. 14,6% en sujetos sin enfermedad cardiovascular); todas las comparaciones con p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,001. La ERC afectó al 4,5% de los sujetos con 0-1<span class="elsevierStyleHsp" style=""></span>FRCV, con un aumento progresivo desde el 10,4 al 52,3% en sujetos con 2 a 8-10<span class="elsevierStyleHsp" style=""></span>FRCV (p de tendencia <0,001).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La ERC afecta a uno de cada 7 adultos en España, una prevalencia más elevada que la estimada en estudios previos en nuestro país y similar a la observada en Estados Unidos. La ERC afecta particularmente a los varones, a sujetos de edad avanzada o con enfermedad cardiovascular. La prevalencia de ERC aumenta de forma marcada con la acumulación de FRCV, lo que sugiere que la ERC en la población podría considerarse como un trastorno cardiovascular.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0006">Please cite this article as: Gorostidi M, Sánchez-Martínez M, Ruilope LM, Graciani A, de la Cruz JJ, Santamaría R, et al. Prevalencia de enfermedad renal crónica en España: impacto de la acumulación de factores de riesgo cardiovascular. Nefrologia. 2018;38:606–615.</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" => 1778 "Ancho" => 2500 "Tamanyo" => 351937 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Prevalence and number of subjects at different levels of cardio-renal risk by estimated glomerular filtration rate and albuminuria according the CKD 2012 KDIGO guidelines risk stratification score.</p> <p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">eGFR in mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>; albuminuria in mg/g (albumin/creatinine ratio).</p> <p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CKD, chronic kidney disease; KDIGO, Kidney Disease Improving Global Outcomes; eGFR, estimated glomerular filtration rate.</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" => 1562 "Ancho" => 2328 "Tamanyo" => 176393 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Prevalence of chronic kidney disease according to clustering of cardiovascular risk factors in subjects with no established cardiovascular disease.</p> <p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Cardiovascular risk factors considered were: age, hypertension, obesity, abdominal obesity, smoking, high LDL-cholesterol, low HDL-cholesterol, high triglycerides, diabetes, and sedentary habit.</p>" ] ] 2 => 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:3 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; GFR, glomerular filtration rate; CKD-EPI, Chronic Kidney Disease – Epidemiology Collaboration.</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">Variable \t\t\t\t\t\t\n \t\t\t\t</th><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></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"><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">11,505 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Men, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5675 (49.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Age, years, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">47.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>17.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age 18–44 years, <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">5745 (49.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age 45–64 years, <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">3426 (29.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age ≥65, <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">2334 (20.3%) \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">Level of education</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No studies or primary studies, <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">3451 (30.0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Secondary studies, <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">4807 (41.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>University studies \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3247 (28.2%) \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">BMI, kg/m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">26.8 (4.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Normal weight, BMI <25<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, <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">4364 (37.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Overweight, BMI 25 to <30<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, <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">4542 (39.5%) \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">Obesity, BMI ≥30<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, <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">2599 (22.6%) \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Abdominal obesity (in men, waist circumference >102</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">cm; in women, waist circumference >88</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">cm), n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4067 (35.4%) \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">Physical activity</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Active or moderately active, <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">4452 (38.7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Inactive or moderately inactive, <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">7058 (61.3%) \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">SBP, mmHg, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">128.6 (0.24) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">DBP, mmHg, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">75.7 (0.13) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hypertension (SBP ≥140 or DBP ≥90</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mmHg or treatment), n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3787 (32.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Current smoking, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3126 (27.2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Diabetes, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">768 (6.7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hypercholesterolemia (total cholesterol >190</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg/dl), n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6207 (54.0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Low HDL-cholesterol (<40</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg/dl in men, <46</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg/dl in women), n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2389 (20.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Triglycerides >150</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg/dl, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1947 (16.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Serum creatinine in men, mg/dl, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.97 (0.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Serum creatinine in women, mg/dl, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.77 (0.1) \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"><span class="elsevierStyleItalic">Estimated GFR (CKD-EPI), mL/min/1.73 m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">86.2 (21.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Estimated GFR (CKD-EPI) <60</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mL/min/1.73 m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><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">1362 (11.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Albumin/creatinine ratio <30</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg/g, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10,931 (95.0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Albumin/creatinine ratio 30–300</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg/g, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">534 (4.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Albumin/creatinine ratio >300</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg/g, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">40 (0.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Cardiovascular risk, SCORE, mean (SD)</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.1 (4.1) \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"><span class="elsevierStyleItalic">Previous cardiovascular disease, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">249 (2.2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1921349.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">SCORE was calculated after removing subjects with previous cardiovascular disease.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Characteristics of the study participants.</p>" ] ] 3 => 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:2 [ "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: eGFR, estimated glomerular filtration rate; CI, confidence interval.</p><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">A2 indicates a moderately increased urinary albumin excretion rate (albumin/creatinine ratio 30–300<span class="elsevierStyleHsp" style=""></span>mg/g); A3 indicates a severely increased urinary albumin excretion rate (albumin/creatinine ratio >300<span class="elsevierStyleHsp" style=""></span>mg/g).</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">Stage \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">Definition \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">Prevalence \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% CI \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">Any \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">eGFR <60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 m<span class="elsevierStyleSup">2</span> and/or albuminuria A2 or A3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1740 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15.1% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.3–16.3 \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">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">eGFR ≥90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 m<span class="elsevierStyleSup">2</span> and albuminuria A2 or A3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">175 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.3–1.8 \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">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">eGFR 60–89<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 m<span class="elsevierStyleSup">2</span> and albuminuria A2 or A3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">203 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.8% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5–2.0 \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">3a \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">eGFR 45–59<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 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="char" valign="top">1156 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.0% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.3–10.8 \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">3b \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">eGFR 30–44<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 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="char" valign="top">184 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.6% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.3–1.9 \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">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">eGFR 15–29<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 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="char" valign="top">19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1–0.3 \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">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">eGFR <15<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 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="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.0% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.0–0.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1921351.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Prevalence of chronic kidney disease.</p>" ] ] 4 => 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="spar0100" class="elsevierStyleSimplePara elsevierViewall">Abbreviation: CI, confidence interval.</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">Prevalence (%) \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% CI (%) \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> trend \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"><span class="elsevierStyleItalic">Total</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.3–16.0 \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><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>18–44 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.2–5.4 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>45–64 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.1–18.7 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥65 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35.3–39.3 \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 " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Men</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22.0–24.2 \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"><span class="elsevierStyleHsp" style=""></span>18–44 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.4–7.2 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>45–64 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26.6–31.0 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥65 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">63.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">60.0–66.1 \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 " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Women</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.6–8.0 \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"><span class="elsevierStyleHsp" style=""></span>18–44 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.5–3.8 \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>45–64 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.1–7.4 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥65 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15.5–19.7 \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 => "xTab1921347.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Prevalence of chronic kidney disease by sex and group of age.</p>" ] ] 5 => 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:3 [ "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CKD, chronic kidney disease; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; GFR, glomerular filtration rate; CKD-EPI, Chronic Kidney Disease – Epidemiology Collaboration.</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">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">CKD \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 CKD \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"><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">1740 (15.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9765 (84.8%) \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></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Men, <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">1312 (75.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4363 (44.7) \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">Age, years, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">61.5 (15.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">44.4 (16.0) \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">Education level, no studies or primary studies, <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">759 (43.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2692 (27.6) \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">Education level, secondary studies, <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">523 (30.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4274 (43.8) \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">Education level, university studies, <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">449 (25.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2799 (28.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.014 \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>, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28.2 (4.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">26.6 (4.7) \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">Normal weight, BMI <25<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, <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">374 (21.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3990 (40.9) \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">Overweight, BMI 25 to <30<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, <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">833 (47.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3709 (38) \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">Obesity, BMI ≥30<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>, <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">533 (30.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2066 (21.2) \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">Abdominal obesity (in men, waist circumference >102<span class="elsevierStyleHsp" style=""></span>cm; in women, waist circumference >88<span class="elsevierStyleHsp" style=""></span>cm) <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">834 (47.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3234 (33.1) \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">Physical activity, active or moderately active, <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">473 (27.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3974 (40.7) \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">Physical activity, inactive or moderately inactive, <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">1267 (72.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5791 (59.3) \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">Hypertension (SBP ≥140 or DBP ≥90<span class="elsevierStyleHsp" style=""></span>mmHg or treatment), <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">1068 (61.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2719 (27.8) \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">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">344 (19.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2782 (28.5) \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">Diagnosed diabetes, <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">294 (16.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">473 (4.8%) \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">Hypercholesterolemia, <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">1065 (61.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4737 (48.5) \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">Low HDL-cholesterol (<40<span class="elsevierStyleHsp" style=""></span>mg/dl in men, <46<span class="elsevierStyleHsp" style=""></span>mg/dl in women), <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">451 (25.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1937 (19.8) \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">Triglycerides >150<span class="elsevierStyleHsp" style=""></span>mg/dl, <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">405 (23.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1542 (15.8) \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">Serum creatinine in men, mg/dl, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.10 (0.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.80 (0.1) \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">Serum creatinine in women, mg/dl, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.90 (0.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.80 (0.1) \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">Estimated GFR (CKD-EPI), mL/min/1.73 m<span class="elsevierStyleSup">2</span>, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">59.7 (18.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">90.9 (18.6) \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">Estimated GFR (CKD-EPI) <60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73 m<span class="elsevierStyleSup">2</span>, <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">1369 (78.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0 \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">Albumin/creatinine ratio <30<span class="elsevierStyleHsp" style=""></span>mg/g, <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">1166 (67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9765 \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">Albumin/creatinine ratio 30–300<span class="elsevierStyleHsp" style=""></span>mg/g, <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">534 (30.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0 \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">Albumin/creatinine ratio >300<span class="elsevierStyleHsp" style=""></span>mg/g, <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">40 (2.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0 \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">Cardiovascular risk, SCORE, mean (SD)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5.9 (6.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.5 (3.2) \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">Previous cardiovascular disease, <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">99 (5.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">150 (1.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1921348.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">SCORE was calculated after removing subjects with previous cardiovascular disease.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Comparison between subjects with and without kidney disease.</p>" ] ] 6 => array:8 [ "identificador" => "tbl0025" "etiqueta" => "Table 5" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at5" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CKD, chronic kidney disease; OR, odds ratio; CI, confidence interval.</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">Variables \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 \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% CI \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Sex (men vs. women) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.76–6.27 \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">Age (per year) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.07 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.07–1.08 \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">Physical activity (inactivity or moderate inactive vs. activity) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04–1.36 \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 (yes vs. no) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.45 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.27–1.65 \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">Diabetes (yes vs. no) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.13–1.63 \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">Low HDL-cholesterol (yes vs. no) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.12–1.51 \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">Cardiovascular disease (yes vs. no) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.36 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.00–1.85 \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></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1921350.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">Multivariate logistic regression analysis assessing correlates of chronic kidney disease.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:24 [ 0 => array:3 [ "identificador" => "bib0125" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease" "autores" => array:1 [ 0 => array:2 [ "colaboracion" => "Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group" "etal" => false ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Kidney Int Suppl" "fecha" => "2013" "volumen" => "3" "paginaInicial" => "1" "paginaFinal" => "150" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0130" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "Chronic Kidney Disease Prognosis Consortium" "etal" => true "autores" => array:6 [ 0 => "K. Matsushita" 1 => "M. van der Velde" 2 => "B.C. Astor" 3 => "M. Woodward" 4 => "A.S. Levey" 5 => "P.E. de Jong" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S0140-6736(10)60674-5" "Revista" => array:7 [ "tituloSerie" => "Lancet" "fecha" => "2010" "volumen" => "375" "paginaInicial" => "2073" "paginaFinal" => "2081" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20483451" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S2405456917300597" "estado" => "S300" "issn" => "24054569" ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0135" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "Chronic Kidney Disease Prognosis Consortium" "etal" => true "autores" => array:6 [ 0 => "R.T. Gansevoort" 1 => "K. Matsushita" 2 => "M. van der Velde" 3 => "B.C. Astor" 4 => "M. Woodward" 5 => "A.S. Levey" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1038/ki.2010.531" "Revista" => array:7 [ "tituloSerie" => "Kidney Int" "fecha" => "2011" "volumen" => "80" "paginaInicial" => "93" "paginaFinal" => "104" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21289597" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S1470204518300810" "estado" => "S300" "issn" => "14702045" ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0140" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:3 [ "comentario" => "[Erratum in: Lancet. 2013;382:208]" "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chronic kidney disease: global dimension and perspectives" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "V. Jha" 1 => "G. Garcia-Garcia" 2 => "K. Iseki" 3 => "Z. Li" 4 => "S. Naicker" 5 => "B. Plattner" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S0140-6736(13)60687-X" "Revista" => array:6 [ "tituloSerie" => "Lancet" "fecha" => "2013" "volumen" => "382" "paginaInicial" => "260" "paginaFinal" => "272" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23727169" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0145" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence of chronic kidney disease in the United States" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J. Coresh" 1 => "E. Selvin" 2 => "L.A. Stevens" 3 => "J. Manzi" 4 => "J.W. Kusek" 5 => "P. Eggers" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1001/jama.298.17.2038" "Revista" => array:7 [ "tituloSerie" => "JAMA" "fecha" => "2007" "volumen" => "298" "paginaInicial" => "2038" "paginaFinal" => "2047" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17986697" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0016510713002186" "estado" => "S300" "issn" => "00165107" ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0150" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Methodology used in studies reporting chronic kidney disease prevalence: a systematic literature review" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "on behalf of the European CKD Burden Consortium" "etal" => true "autores" => array:6 [ 0 => "K. Brück" 1 => "K.J. Jager" 2 => "E. Dounousi" 3 => "A. Kainz" 4 => "D. Nitsch" 5 => "J. Ärnlöv" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/ndt/gfv131" "Revista" => array:7 [ "tituloSerie" => "Nephrol Dial Transplant" "fecha" => "2015" "volumen" => "30" "numero" => "Suppl 4" "paginaInicial" => "iv6" "paginaFinal" => "iv16" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26209739" "web" => "Medline" ] ] ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0155" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "K.T. Mills" 1 => "Y. Xu" 2 => "W. Zhang" 3 => "J.D. Bundy" 4 => "C.S. Chen" 5 => "T.N. Kelly" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1038/ki.2015.230" "Revista" => array:7 [ "tituloSerie" => "Kidney Int" "fecha" => "2015" "volumen" => "88" "paginaInicial" => "950" "paginaFinal" => "957" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26221752" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0022534716305080" "estado" => "S300" "issn" => "00225347" ] ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0160" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:3 [ "comentario" => "[Erratum in: Lancet. 2012;380:650]" "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence of chronic kidney disease in China: a cross-sectional survey" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "L. Zhang" 1 => "F. Wang" 2 => "L. Wang" 3 => "W. Wang" 4 => "B. Liu" 5 => "J. Liu" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S0140-6736(12)60033-6" "Revista" => array:7 [ "tituloSerie" => "Lancet" "fecha" => "2012" "volumen" => "379" "paginaInicial" => "815" "paginaFinal" => "822" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22386035" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0016510708028484" "estado" => "S300" "issn" => "00165107" ] ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0165" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence and correlates of CKD in Hispanics/Latinos in the United States" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A.C. Ricardo" 1 => "M.F. Flessner" 2 => "J.H. Eckfeldt" 3 => "P.W. Eggers" 4 => "N. Franceschini" 5 => "A.S. Go" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2215/CJN.02020215" "Revista" => array:7 [ "tituloSerie" => "Clin J Am Soc Nephrol" "fecha" => "2015" "volumen" => "10" "paginaInicial" => "1757" "paginaFinal" => "1766" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26416946" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0302283816304298" "estado" => "S300" "issn" => "03022838" ] ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0170" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "CKD prevalence varies across the European general population" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "on behalf of the European CKD Burden Consortium" "etal" => true "autores" => array:6 [ 0 => "K. Brück" 1 => "V.S. Stel" 2 => "G. Gambaro" 3 => "S. Hallan" 4 => "H. Völzke" 5 => "J. Ärnlöv" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1681/ASN.2015050542" "Revista" => array:6 [ "tituloSerie" => "J Am Soc Nephrol" "fecha" => "2016" "volumen" => "27" "paginaInicial" => "2135" "paginaFinal" => "2147" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26701975" "web" => "Medline" ] ] ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib0175" "etiqueta" => "11" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Renal function: the Cinderella of cardiovascular risk profile" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "L.M. Ruilope" 1 => "D.J. van Veldhuisen" 2 => "E. Ritz" 3 => "T.F. Luscher" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "J Am Coll Cardiol" "fecha" => "2001" "volumen" => "38" "paginaInicial" => "1782" "paginaFinal" => "1787" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11738274" "web" => "Medline" ] ] ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0180" "etiqueta" => "12" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention" "etal" => true "autores" => array:6 [ 0 => "M.J. Sarnak" 1 => "A.S. Levey" 2 => "A.C. Schoolwerth" 3 => "J. Coresh" 4 => "B. Culleton" 5 => "L.L. Hamm" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1161/01.CIR.0000095676.90936.80" "Revista" => array:6 [ "tituloSerie" => "Circulation" "fecha" => "2003" "volumen" => "108" "paginaInicial" => "2154" "paginaFinal" => "2169" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/14581387" "web" => "Medline" ] ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0185" "etiqueta" => "13" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Epidemiology and mechanisms of uremia-related cardiovascular disease" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "M. Tonelli" 1 => "S.A. Karumanchi" 2 => "R. Thadhani" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1161/CIRCULATIONAHA.115.018713" "Revista" => array:7 [ "tituloSerie" => "Circulation" "fecha" => "2016" "volumen" => "133" "paginaInicial" => "518" "paginaFinal" => "536" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26831434" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S030228381730667X" "estado" => "S300" "issn" => "03022838" ] ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0190" "etiqueta" => "14" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Rationale and methods of the Study on Nutrition and Cardiovascular Risk in Spain (ENRICA)" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "F. Rodríguez-Artalejo" 1 => "A. Graciani" 2 => "P. Guallar-Castillón" 3 => "L.M. León-Muñoz" 4 => "M.C. Zuluaga" 5 => "E. López-García" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.recesp.2011.05.019" "Revista" => array:6 [ "tituloSerie" => "Rev Esp Cardiol" "fecha" => "2011" "volumen" => "64" "paginaInicial" => "876" "paginaFinal" => "882" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21821340" "web" => "Medline" ] ] ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0195" "etiqueta" => "15" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Achievement of cardiometabolic goals in aware hypertensive patients in Spain: a nationwide population-based study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J.R. Banegas" 1 => "A. Graciani" 2 => "J.J. de la Cruz-Troca" 3 => "L.M. León-Muñoz" 4 => "P. Guallar-Castillón" 5 => "A. Coca" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1161/HYPERTENSIONAHA.112.193078" "Revista" => array:6 [ "tituloSerie" => "Hypertension" "fecha" => "2012" "volumen" => "60" "paginaInicial" => "898" "paginaFinal" => "905" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22949530" "web" => "Medline" ] ] ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0200" "etiqueta" => "16" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Cardiovascular health in a southern Mediterranean European country: a nationwide population-based study" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "A. Graciani" 1 => "L.M. León-Muñoz" 2 => "P. Guallar-Castillón" 3 => "F. Rodríguez-Artalejo" 4 => "J.R. Banegas" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1161/CIRCOUTCOMES.112.967893" "Revista" => array:6 [ "tituloSerie" => "Circ Cardiovasc Qual Outcomes" "fecha" => "2013" "volumen" => "6" "paginaInicial" => "90" "paginaFinal" => "98" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23300271" "web" => "Medline" ] ] ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib0205" "etiqueta" => "17" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Achievement of cardiometabolic goals among diabetic patients in Spain. A nationwide population-based study" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "B. Navarro-Vidal" 1 => "J.R. Banegas" 2 => "L.M. León-Muñoz" 3 => "F. Rodríguez-Artalejo" 4 => "A. Graciani" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1371/journal.pone.0061549" "Revista" => array:5 [ "tituloSerie" => "PLoS One" "fecha" => "2013" "volumen" => "8" "paginaInicial" => "e61549" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23637851" "web" => "Medline" ] ] ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib0210" "etiqueta" => "18" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Leisure-time sport physical activity and dietary intake of foods in Spain" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "EPIC Working Group of Spain" "etal" => false "autores" => array:3 [ 0 => "M.D. Chirlaque" 1 => "M.J. Tormo" 2 => "C. Navarro" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:7 [ "tituloSerie" => "IARC Sci Publ" "fecha" => "2002" "volumen" => "156" "paginaInicial" => "243" "paginaFinal" => "246" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12484178" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S001651071301910X" "estado" => "S300" "issn" => "00165107" ] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0215" "etiqueta" => "19" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "2007 ESH-ESC Practice Guidelines for the Management of Arterial Hypertension: ESH-ESC Task Force on the management of arterial hypertension" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "G. Mancia" 1 => "G. de Backer" 2 => "A. Dominiczak" 3 => "R. Cifkova" 4 => "R. Fagard" 5 => "G. Germano" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/HJH.0b013e3282f0580f" "Revista" => array:6 [ "tituloSerie" => "J Hypertens" "fecha" => "2007" "volumen" => "25" "paginaInicial" => "1751" "paginaFinal" => "1762" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17762635" "web" => "Medline" ] ] ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0220" "etiqueta" => "20" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Standards of medical care in diabetes—2008" "autores" => array:1 [ 0 => array:2 [ "colaboracion" => "American Diabetes Association" "etal" => false ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2337/dc08-S012" "Revista" => array:8 [ "tituloSerie" => "Diabetes Care" "fecha" => "2008" "volumen" => "31" "numero" => "Suppl 1" "paginaInicial" => "S12" "paginaFinal" => "S54" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18165335" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0016510711020360" "estado" => "S300" "issn" => "00165107" ] ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0225" "etiqueta" => "21" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence of chronic renal disease in Spain: results of the EPIRCE study" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "on behalf of the EPIRCE Study Group" "etal" => false "autores" => array:4 [ 0 => "A. Otero" 1 => "A. de Francisco" 2 => "P. Gayoso" 3 => "F. García" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3265/Nefrologia.pre2009.Dic.5732" "Revista" => array:7 [ "tituloSerie" => "Nefrologia" "fecha" => "2010" "volumen" => "30" "paginaInicial" => "78" "paginaFinal" => "86" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20038967" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0016510709026133" "estado" => "S300" "issn" => "00165107" ] ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib0230" "etiqueta" => "22" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "2016 European guidelines on cardiovascular disease prevention in clinical practice. The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts). Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR)" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M.F. Piepoli" 1 => "A.W. Hoes" 2 => "S. Agewall" 3 => "C. Albus" 4 => "C. Brotons" 5 => "A.L. Catapano" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/eurheartj/ehw106" "Revista" => array:6 [ "tituloSerie" => "Eur Heart J" "fecha" => "2016" "volumen" => "37" "paginaInicial" => "2315" "paginaFinal" => "2381" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27222591" "web" => "Medline" ] ] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib0235" "etiqueta" => "23" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "R.T. Gansevoort" 1 => "R. Correa-Rotter" 2 => "B.R. Hemmelgarn" 3 => "T.H. Jafar" 4 => "H.J. Heerspink" 5 => "J.F. Mann" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S0140-6736(13)60595-4" "Revista" => array:6 [ "tituloSerie" => "Lancet" "fecha" => "2013" "volumen" => "382" "paginaInicial" => "339" "paginaFinal" => "352" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23727170" "web" => "Medline" ] ] ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib0240" "etiqueta" => "24" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence and cardiovascular risk profile of chronic kidney disease in Italy: results of the 2008–12 National Health Examination Survey" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "on behalf of the ANMCO-SIN Research Group" "etal" => true "autores" => array:6 [ 0 => "L. De Nicola" 1 => "C. Donfrancesco" 2 => "R. Minutolo" 3 => "C. lo Noce" 4 => "L. Palmieri" 5 => "A. de Curtis" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/ndt/gfu383" "Revista" => array:7 [ "tituloSerie" => "Nephrol Dial Transplant" "fecha" => "2015" "volumen" => "30" "paginaInicial" => "806" "paginaFinal" => "814" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/25523453" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0016510713000990" "estado" => "S300" "issn" => "00165107" ] ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/20132514/0000003800000006/v1_201812140610/S201325141830141X/v1_201812140610/en/main.assets" "Apartado" => array:4 [ "identificador" => "42660" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Original articles" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/20132514/0000003800000006/v1_201812140610/S201325141830141X/v1_201812140610/en/main.pdf?idApp=UINPBA000064&text.app=https://revistanefrologia.com/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S201325141830141X?idApp=UINPBA000064" ]
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2024 September | 155 | 32 | 187 |
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2024 June | 147 | 77 | 224 |
2024 May | 163 | 66 | 229 |
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2024 March | 109 | 54 | 163 |
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2024 January | 109 | 30 | 139 |
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2023 September | 127 | 75 | 202 |
2023 August | 141 | 29 | 170 |
2023 July | 179 | 55 | 234 |
2023 June | 152 | 33 | 185 |
2023 May | 171 | 72 | 243 |
2023 April | 163 | 43 | 206 |
2023 March | 146 | 43 | 189 |
2023 February | 109 | 57 | 166 |
2023 January | 92 | 46 | 138 |
2022 December | 102 | 72 | 174 |
2022 November | 100 | 63 | 163 |
2022 October | 124 | 75 | 199 |
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2022 June | 132 | 65 | 197 |
2022 May | 141 | 41 | 182 |
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2020 December | 96 | 46 | 142 |
2020 November | 100 | 34 | 134 |
2020 October | 78 | 19 | 97 |
2020 September | 92 | 30 | 122 |
2020 August | 58 | 31 | 89 |
2020 July | 75 | 30 | 105 |
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2020 May | 121 | 47 | 168 |
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2019 December | 121 | 65 | 186 |
2019 November | 128 | 70 | 198 |
2019 October | 155 | 72 | 227 |
2019 September | 126 | 55 | 181 |
2019 August | 106 | 56 | 162 |
2019 July | 58 | 44 | 102 |
2019 June | 57 | 58 | 115 |
2019 May | 95 | 68 | 163 |
2019 April | 126 | 79 | 205 |
2019 March | 53 | 49 | 102 |
2019 February | 52 | 34 | 86 |
2019 January | 64 | 43 | 107 |
2018 December | 70 | 52 | 122 |