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The first patient (1A) showed baseline pCr of 6.29<span class="elsevierStyleHsp" style=""></span>mg/dl, Hb 7.6<span class="elsevierStyleHsp" style=""></span>g/dl, and platelet count 49<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span>/l. The patient underwent HD (magenta) and subsequently received PP (blue) every day. Two weeks after beginning treatment, diuresis and renal function were gradually recovered (13 HD sessions and 18 PP sessions). Baseline pCr figures were similar for the second patient (1B), who also presented anaemia and thrombocytopenia. He received 10 and 17 HD and PP sessions, respectively, recovering one month later. The third patient (1C) had a similar behaviour, received 10 and 15 sessions, respectively, and showed recovery within one month. 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array:3 [ "nombre" => "Pablo" "apellidos" => "García Solís" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 5 => array:3 [ "nombre" => "Maria Elena" "apellidos" => "Villagrán Herrera" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 6 => array:3 [ "nombre" => "Ana María" "apellidos" => "Pérez Baza" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Unidad de Medicina Familiar N.°13, Instituto Mexicano del Seguro Social, Tuxtla Gutiérrez, Chiapas, Mexico" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Facultad de Medicina, Universidad Autónoma de Querétaro, Santiago de Querétaro, Querétaro, Mexico" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Unidad de Medicina Familiar N.°14, Instituto Mexicano del Seguro Social, México, D.F., Mexico" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Utilidad de un modelo de predicción para la enfermedad renal crónica en una unidad de primer nivel de atención" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">The 2014 Spanish agreement Document for the Detection and Management of Chronic Kidney Disease (CKD) recommended that, in people with risk factors for development of and progression of CKD, the doctor should take certain preventive measure.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Despite these recommendations, the prevalence of CKD continues to rise. In Mexico, one of the Latin American countries with the highest prevalence of CKD,<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">2,3</span></a> there was an increase from 394 to 986 (patient per million)<span class="elsevierStyleHsp" style=""></span>ppm from 2003 to 2007.</p><p id="par0015" class="elsevierStylePara elsevierViewall">To help primary care physicians to monitor groups at risk, a model was constructed to predict probability of developing CKD, depending on the different combinations of risk factors that can be detected in a family medicine clinic.</p><p id="par0020" class="elsevierStylePara elsevierViewall">This was a case–control study of patients treated in a primary care unit of <span class="elsevierStyleItalic">the Instituto Mexicano del Seguro Social</span> (Mexican Social Security Institute), Querétaro, Mexico, in 2013. The sample size was calculated using the formula for two proportion, with a significance level of 95%, test power 80%, OR 2.2, considering a 1:1 ratio of patients with CKD for unpaired data (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>100 for each group).</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Definition of groups</span><p id="par0025" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Cases:</span> patients diagnosed with CKD by the renal department, glomerular filtration rate ≤60<span class="elsevierStyleHsp" style=""></span>mL/min, measured by 24<span class="elsevierStyleHsp" style=""></span>h urinary creatinine clearance, both sexes, and those older than 18 years.</p><p id="par0030" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Controls:</span> patients without CKD, glomerular filtration rate ≥61<span class="elsevierStyleHsp" style=""></span>mL/min measured by the Cockcroft–Gault formula on 2 different occasions and confirmed by a 24<span class="elsevierStyleHsp" style=""></span>h urinary creatinine, both sexes, and those older than 18 years.</p><p id="par0035" class="elsevierStylePara elsevierViewall">Exclusion criteria were pregnancy and other causes of proteinuria. Patients with incomplete histories were not included.</p><p id="par0040" class="elsevierStylePara elsevierViewall">Cases were chosen using simple random sampling, and controls were chosen by non-probability quota sampling. The risk factors established by the Spanish agreement Document for CKD susceptibility, onset, and progression were taken into account for the analysis, and only those that reached statistical significance were included in the model. The variables of sex and age were not included, because they were part of the formula used to estimate glomerular filtration rate.</p><p id="par0045" class="elsevierStylePara elsevierViewall">A Chi-square test was used to estimate the risk of odds ratio (OR). Logistic regression analysis was used to construct the model, with a method of progressive inclusion of variables, including those that reached statistical significance, with a 95% confidence level.</p><p id="par0050" class="elsevierStylePara elsevierViewall">A probability risk analysis was performed, based on the frequency of CKD with different combinations of the variables that were found to be significant risk factors, expressed as percentages. The formula 1/(1+<span class="elsevierStyleItalic">e</span><span class="elsevierStyleSup">−<span class="elsevierStyleItalic">y</span></span>) was used for this calculation.</p><p id="par0055" class="elsevierStylePara elsevierViewall">The risk factors that could be used, due to their strong association, to create the model were urological diseases, systemic hypertension (HTN), hyperuricaemia, and use of nephrotoxic drugs. Nephrotoxic drugs had the strongest association (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). According to this model, there is a 99.9% probability of developing CKD if a patient has all 4 risk factors. If a patient has a urological disease and uses long-term nephrotoxic drugs, the probability is 92.8% (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">Although the factors that lead to CDK<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">1,4,5</span></a> are widely studied, the fact is that prevention of CKD onset and progression has not been achieved.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">3</span></a> Therefore, studies that allow the construction of practical predictive models adjusted to specific populations are of great relevance.</p><p id="par0065" class="elsevierStylePara elsevierViewall">In this discussion, we cannot ignore the use of nephrotoxic drug; the probability of developing CKD with this risk factor alone is 49.9%; this is a preventable factor in any population. It must be mentioned that this rate is high due to the use of non-steroidal anti-inflammatory drugs (NSAIDs). This is similar to what author authors have found.<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">6,7</span></a></p><p id="par0070" class="elsevierStylePara elsevierViewall">In this model, urological disease was considered a significant risk factor, with a probability of 43.7%. Prostatic enlargement was the most common disease. In the Mexican population, late detection of prostatic enlargement is common, often due to men's fear of exposing their privacy during the clinical examination. This can lead to complications such as CKD.<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">8,9</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">In Mexico, the leading reason for consultation in primary care is HTN, and, according to the proposed model, there is a 34.8% probability of developing CKD with this factor alone. Likewise, the strict monitoring of uric acid levels and their timely control must not be abandoned.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">10</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">In conclusion, the model that predicted the highest probability of developing CKD was that which included urological diseases, HTN, hyperuricaemia, and the use of nephrotoxic drugs.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Funding</span><p id="par0085" class="elsevierStylePara elsevierViewall">We acknowledge the <span class="elsevierStyleGrantSponsor" id="gs1"><span class="elsevierStyleItalic">Consejo Nacional de Ciencia y Tecnología</span> (CONACYT)</span> (National Council of Science and Technology), through the <span class="elsevierStyleGrantSponsor" id="gs2"><span class="elsevierStyleItalic">Consejo de Ciencia y Tecnología del Estado de Querétaro</span> (CONCYTEQ)</span> (Council of Science and Technology of Querétaro State) and the <span class="elsevierStyleGrantSponsor" id="gs3">Querétaro State Government</span> for the support provided by the joint fund (<span class="elsevierStyleGrantNumber" refid="gs3">QRO-2011-CO2-175384</span>), and the support of <span class="elsevierStyleGrantSponsor" id="gs4">FORDECy</span> (<span class="elsevierStyleGrantNumber" refid="gs4">193512</span>).</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Definition of groups" ] 1 => array:2 [ "identificador" => "sec0010" "titulo" => "Funding" ] 2 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Gallardo Vidal LS, Rodríguez Méndez AJ, Burgos Ochoa M, Martínez Martínez ML, García Solís P, Villagrán Herrera ME, et al. Utilidad de un modelo de predicción para la enfermedad renal crónica en una unidad de primer nivel de atención. Nefrologia. 2016;36:196–198.</p>" ] ] "multimedia" => array:2 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">HTN, systemic hypertension.</p><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The statistical analysis included a Chi-square test and the calculation of the multiple logistic regression model, with a 95% 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 " colspan="2" align="center" valign="top" scope="col">Chi-square</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col"><span class="elsevierStyleItalic">P</span>-value</th></tr><tr title="table-row"><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">151.04</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">0.000</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Coefficient \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">Statistic \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">Significance \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">Constant \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−16.116 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Urological disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.561 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.509 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">HTN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.185 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.931 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Use of nephrotoxic drugs \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.811 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22.790 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Hyperuricaemia \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.908 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.318 \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 => "xTab1383034.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Multiple logistic regression model to explain chronic kidney disease.</p>" ] ] 1 => 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="spar0025" class="elsevierStyleSimplePara elsevierViewall">The statistical analysis included the calculation of the multiple logistic regression model and, later, the estimation of the probability of developing chronic kidney disease using the formula 1/(1+<span class="elsevierStyleItalic">e</span><span class="elsevierStyleSup">−<span class="elsevierStyleItalic">y</span></span>).</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-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Probability \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Urological disease \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Systemic hypertension \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Nephrotoxic drugs \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col">Hyperuricaemia \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Percentage \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><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="" 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="" 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" title="table-entry " align="char" valign="top">99.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">99.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">98.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">98.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">97.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">92.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">89.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">87.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">87.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">84.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">78.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">49.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">43.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">34.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">28.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Present \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="char" valign="top">5.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Absent \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1383035.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Calculation of the probability of developing chronic kidney disease.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:10 [ 0 => array:3 [ "identificador" => "bib0055" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Documento de consenso para la detección y manejo de la enfermedad renal crónica" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A. Martínez-Castelao" 1 => "J. Gorriz" 2 => "L. Bover" 3 => "J. Segura de la Morena" 4 => "J. Cebollada" 5 => "J. Escalad" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3265/Nefrologia.pre2014.Feb.12455" "Revista" => array:6 [ "tituloSerie" => "Nefrologia" "fecha" => "2014" "volumen" => "34" "paginaInicial" => "243" "paginaFinal" => "262" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24658201" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0060" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:1 [ "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:5 [ 0 => "L. Cortes" 1 => "A.M. Cueto" 2 => "S.P. Santillana" 3 => "H.R. Martínez" 4 => "L. Torres" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:3 [ "fecha" => "2013" "paginaInicial" => "211" "paginaFinal" => "277" ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0065" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Epidemiología de la insuficiencia renal crónica en México" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "A. Méndez-Durán" 1 => "J.F. Méndez-Bueno" 2 => "T. Tapia-Yáñez" 3 => "A. Muñoz" 4 => "L. Aguilar-Sánchez" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Diál Traspl" "fecha" => "2010" "volumen" => "31" "paginaInicial" => "7" "paginaFinal" => "11" ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0070" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chronic kidney disease and associated risk factors in two Salvadorian farming communities, 2012" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "X.F. Vela" 1 => "D. Henríquez" 2 => "S.M. Zelaya" 3 => "D.V. Granados" 4 => "M.X. Hernández" 5 => "C.M. Orantes" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "MEDICC Rev" "fecha" => "2014" "volumen" => "16" "paginaInicial" => "55" "paginaFinal" => "60" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/25208121" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0075" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chronic kidney disease and associated risk factors in the Bajo Lempa region of El Salvador: nefrolempa study, 2009" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "C.M. Orantes" 1 => "R. Herrera" 2 => "M. Almaguer" 3 => "E.G. Brizuela" 4 => "C.E. Hernández" 5 => "H. Bayarre" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "MEDICC Rev" "fecha" => "2011" "volumen" => "13" "paginaInicial" => "14" "paginaFinal" => "22" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22143603" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0080" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The burden of nephrotoxic drug prescriptions in patients with chronic kidney disease: a retrospective population-based study in Southern Italy" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "Y. Ingrasciotta" 1 => "J. Sultana" 2 => "F. Giorgianni" 3 => "A.P. Caputi" 4 => "V. Arcoraci" 5 => "D.U. Tari" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1371/journal.pone.0089072" "Revista" => array:5 [ "tituloSerie" => "PLOS ONE" "fecha" => "2014" "volumen" => "9" "paginaInicial" => "e89072" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24558471" "web" => "Medline" ] ] ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0085" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "¿Hay una asociación entre antiinflamatorios no esteroides y nefropatía inducida por contraste?" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "L. Diogo" 1 => "D. Saitovitch" 2 => "M. Biehl" 3 => "L.F. Bahlis" 4 => "M.C. Guterres" 5 => "C.F. O’Keeffe" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Arq. Bras. Cardiol." "fecha" => "2010" "volumen" => "95" "paginaInicial" => "726" "paginaFinal" => "731" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21109911" "web" => "Medline" ] ] ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0090" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Percepciones sobre el cáncer de próstata en población masculina mayor de 45 años Santa Rosa de Cabal 2010" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "M.N. Muñoz" 1 => "L.A. Sossa" 2 => "J. Jairo" 3 => "A. Grisales" 4 => "J.D. Rodríguez" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Hacia la promoción de la Salud" "fecha" => "2011" "volumen" => "16" "paginaInicial" => "147" "paginaFinal" => "161" ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0095" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Barreras en relación a los exámenes de rastreo de cáncer de próstata" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "E. Pereira" 1 => "M.C. Salvador" 2 => "R. Harter" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Rev Latino-Am Enfermagem" "fecha" => "2011" "volumen" => "19" "paginaInicial" => "2" "paginaFinal" => "8" ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0100" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Uric acid – key ingredient in the recipe for cardiorenal metabolic syndrome" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "K. Chaudhary" 1 => "K. Malhotra" 2 => "J. Sowers" 3 => "A. Aroor" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1159/000355405" "Revista" => array:6 [ "tituloSerie" => "Cardiorenal Med" "fecha" => "2013" "volumen" => "3" "paginaInicial" => "208" "paginaFinal" => "220" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24454316" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/20132514/0000003600000002/v4_201703310238/S2013251416300025/v4_201703310238/en/main.assets" "Apartado" => array:4 [ "identificador" => "35436" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Letters to the Editor" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/20132514/0000003600000002/v4_201703310238/S2013251416300025/v4_201703310238/en/main.pdf?idApp=UINPBA000064&text.app=https://revistanefrologia.com/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251416300025?idApp=UINPBA000064" ]
Year/Month | Html | Total | |
---|---|---|---|
2024 November | 5 | 9 | 14 |
2024 October | 51 | 42 | 93 |
2024 September | 43 | 30 | 73 |
2024 August | 49 | 57 | 106 |
2024 July | 44 | 27 | 71 |
2024 June | 54 | 31 | 85 |
2024 May | 69 | 27 | 96 |
2024 April | 57 | 26 | 83 |
2024 March | 42 | 22 | 64 |
2024 February | 35 | 36 | 71 |
2024 January | 38 | 26 | 64 |
2023 December | 22 | 15 | 37 |
2023 November | 40 | 60 | 100 |
2023 October | 31 | 47 | 78 |
2023 September | 29 | 27 | 56 |
2023 August | 43 | 24 | 67 |
2023 July | 30 | 42 | 72 |
2023 June | 58 | 22 | 80 |
2023 May | 70 | 30 | 100 |
2023 April | 52 | 13 | 65 |
2023 March | 77 | 18 | 95 |
2023 February | 58 | 26 | 84 |
2023 January | 24 | 18 | 42 |
2022 December | 62 | 30 | 92 |
2022 November | 43 | 19 | 62 |
2022 October | 44 | 41 | 85 |
2022 September | 46 | 31 | 77 |
2022 August | 53 | 41 | 94 |
2022 July | 27 | 48 | 75 |
2022 June | 31 | 27 | 58 |
2022 May | 36 | 41 | 77 |
2022 April | 31 | 34 | 65 |
2022 March | 38 | 44 | 82 |
2022 February | 52 | 33 | 85 |
2022 January | 44 | 31 | 75 |
2021 December | 37 | 54 | 91 |
2021 November | 34 | 42 | 76 |
2021 October | 35 | 40 | 75 |
2021 September | 32 | 40 | 72 |
2021 August | 29 | 41 | 70 |
2021 July | 38 | 25 | 63 |
2021 June | 20 | 28 | 48 |
2021 May | 29 | 47 | 76 |
2021 April | 73 | 35 | 108 |
2021 March | 47 | 31 | 78 |
2021 February | 25 | 20 | 45 |
2021 January | 40 | 18 | 58 |
2020 December | 24 | 13 | 37 |
2020 November | 30 | 16 | 46 |
2020 October | 22 | 23 | 45 |
2020 September | 23 | 12 | 35 |
2020 August | 48 | 10 | 58 |
2020 July | 32 | 13 | 45 |
2020 June | 26 | 17 | 43 |
2020 May | 30 | 12 | 42 |
2020 April | 21 | 18 | 39 |
2020 March | 23 | 14 | 37 |
2020 February | 26 | 23 | 49 |
2020 January | 32 | 14 | 46 |
2019 December | 26 | 21 | 47 |
2019 November | 19 | 18 | 37 |
2019 October | 12 | 14 | 26 |
2019 September | 12 | 16 | 28 |
2019 August | 18 | 14 | 32 |
2019 July | 19 | 18 | 37 |
2019 June | 26 | 10 | 36 |
2019 May | 22 | 14 | 36 |
2019 April | 42 | 19 | 61 |
2019 March | 27 | 24 | 51 |
2019 February | 28 | 20 | 48 |
2019 January | 30 | 18 | 48 |
2018 December | 119 | 52 | 171 |
2018 November | 250 | 25 | 275 |
2018 October | 146 | 21 | 167 |
2018 September | 89 | 15 | 104 |
2018 August | 54 | 21 | 75 |
2018 July | 75 | 19 | 94 |
2018 June | 76 | 14 | 90 |
2018 May | 83 | 17 | 100 |
2018 April | 78 | 7 | 85 |
2018 March | 92 | 10 | 102 |
2018 February | 47 | 4 | 51 |
2018 January | 69 | 5 | 74 |
2017 December | 79 | 10 | 89 |
2017 November | 58 | 7 | 65 |
2017 October | 42 | 10 | 52 |
2017 September | 39 | 11 | 50 |
2017 August | 23 | 1 | 24 |
2017 July | 34 | 15 | 49 |
2017 June | 34 | 5 | 39 |
2017 May | 39 | 11 | 50 |
2017 April | 36 | 8 | 44 |
2017 March | 21 | 5 | 26 |
2017 February | 29 | 6 | 35 |
2017 January | 23 | 12 | 35 |
2016 December | 45 | 10 | 55 |
2016 November | 56 | 16 | 72 |
2016 October | 61 | 9 | 70 |
2016 September | 99 | 2 | 101 |
2016 August | 80 | 0 | 80 |
2016 July | 142 | 5 | 147 |
2016 June | 91 | 0 | 91 |
2016 May | 117 | 0 | 117 |