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"en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Immunohistochemistry staining of myocardial tissue samples (20×). (A) Contrast hematoxylin and antibody diluent (check-up). We can see cardiac myocytes with normal structures and weakly stained nuclei occupying a central position within the cells, with background hematoxylin staining. We can also see lipofuscin pigment in the poles of the nucleus (Ab 20×). (B) Desmin in fetal myocardium: desmin expression is much weaker than in the adult heart or is negative, which likely translates into a lack of development of the sarcomeres. (C) Desmin in adult myocardium: cross striations throughout the myocardium; the intercalated bands show up as darker. (D) MMP9 in fetal myocardium: the cytoplasmic immunostaining for MMP9 is positive in isolated cells in the interstitium. The muscle cell cytoplasm is negative. (E) MMP9 in adult myocardium: cytoplasmic immunostaining for MMP9 in isolated cells in the interstitium; the muscle cells are negative. (F) CysC in fetal myocardium: We can see a more abundant cellularity than in the adult heart, with a less orderly arrangement of cells and slight cytoplasmic immunostaining of the cardiomyocytes for CysC. There are some small isolated cells in the interstitium that express cystatin in their cytoplasm. (G) CysC in adult myocardium: immunostained cardiomyocytes, with diffuse expression of CysC in the cytoplasm.</p>"
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"en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Graphical representation of the association between total renal volume and serum creatinine and urea in patients with polycystic kidney disease (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>67).</p>"
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"textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Background</span><p id="par0005" class="elsevierStylePara elsevierViewall">Polycystic kidney disease (PKD) is a genetic disease characterized by the presence of numerous bilateral renal cysts and chronic progressive kidney disease. The term PKD refers to 2 types of hereditary disease: autosomal dominant PKD (ADPKD), the most common and with a later manifestation; and autosomal recessive PKD, which starts at an earlier age and has a lower overall incidence.<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">1–3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">ADPKD is a monogenic multisystem disease, with both renal and extrarenal manifestations (cysts in other organs and vascular, cardiac, gastrointestinal and musculoskeletal disorders). The prevalence of the disease is estimated to be between 1:400 and 1:1000 and is responsible for 7–10% of cases of renal failure that require renal replacement therapy.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">4</span></a> In our center, 13% of patients who have undergone transplantation have ADPKD. Individuals with this disease can inherit mutations in two genes: PKD1 and PKD2. Individuals with the PKD1 gene mutation have larger kidneys and a greater number of cysts, which is associated with an earlier presentation of the disease and greater severity.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Renal ultrasonography is the preferred technique for diagnosing ADPKD, using the modified Ravine criteria, which relate the number of cysts with the patient age.<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">6,7</span></a> However, measuring renal volume with ultrasonography is often not accurate or reproducible for assessing disease progression, which is related to the growth of renal cysts over time.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">8</span></a> Other radiological techniques that have been studied for measuring renal volume are computed tomography (CT)<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">9</span></a> and magnetic resonance imaging (MRI).<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">10</span></a> The referenced ultrasound criteria can be used in these techniques provided the cysts measure ≥1<span class="elsevierStyleHsp" style=""></span>cm in diameter, although both CT and MRI can detect smaller cysts or variations of them, which can help detect changes in total renal volume (TRV) earlier. These techniques can be of considerable usefulness, given that the growth rate of TRV has been observed to be a prognostic marker of the disease.<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">8–11</span></a> The use of MRI is preferable to CT due to the lack of exposure to ionizing radiation and iodine contrast. The Consortium for Radiologic Imaging Studies of PKD (CRISP) study showed that TRV in patients with PKD is useful for predicting the progression of kidney disease and helps monitor its progression.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">11</span></a> Other studies have used MRI for measuring renal blood flow in this type of patient.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">12</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Our study seeks first to determine the relationship between TRV measured with MRI and renal function in a population of patients with ADPKD. Secondly, the study seeks to analyze the behavior of TRV and renal function according to sex and the presence of arterial hypertension (AHT), hypercholesterolemia and hyperuricemia.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Patients and method</span><p id="par0025" class="elsevierStylePara elsevierViewall">This is a cross-sectional study that included patients diagnosed with ADPKD according to established criteria,<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">6,7</span></a> who undergo periodic checkups in the outpatient nephrology clinics of Hospital Virgin de las Nieves of Granada. Between January 2008 and March 2011, these patients underwent an MRI to measure their TRV. Additional variables were collected at the same time. The patients were not selected using randomized sampling procedures, and their participation in the study was voluntary and determined by their visit to the consultation for follow-up and management. All selected patients agreed to participate. The MRIs performed were not part of any funded study but rather were performed to assess the various renal aspects of the patients and, among other data, those published in this study. None of the patients underwent a genetic study. All patients were in stages 1–5 of their kidney disease (none had undergone transplantation or were in stage 5D). The TRV (mL) was measured in all patients through MRI, using the segmentation method and sum at any point during this period.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">13</span></a> All MRI studies were performed with the Achieva 1.5<span class="elsevierStyleHsp" style=""></span>T MRI (Philips Healthcare, The Netherlands). Intravenous contrast was not employed for the imaging test. To measure the volumes, we used 2 T1-weighted out-of-phase axial sequences, with slice thicknesses of 2<span class="elsevierStyleHsp" style=""></span>mm and 3<span class="elsevierStyleHsp" style=""></span>mm, using an axial T2 series as a guide. The 2-mm images offer greater theoretical accuracy, but in most cases the 3-mm images were used because they had fewer artifacts. Kidney contours were segmented manually in each slice, adding them all up to obtain the TRV. In the kidneys with fewer cysts, the renal sinus volume was included, which is not usually differentiated in more polycystic kidneys. The technique was performed by the same individual in all cases. The potential intraobserver or interobserver variability could therefore not be measured (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0030" class="elsevierStylePara elsevierViewall">We recorded demographic variables, risk factors and the following renal function variables: serum creatinine (SCr, mg/dL), urea (mg/dL) and estimated glomerular filtration rate (eGFR) using the MDRD-4 (mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) and Cockcroft–Gault (mL/min) formulas. We defined patients with a risk factor, such as AHT, hypercholesterolemia and hyperuricemia, if they were undergoing drug treatment for that condition. We performed a descriptive study of all variables. We employed the Pearson correlation coefficient to measure the association between the TRV variables (considered the sum of volumes of both kidneys) and renal function. We also used one-way ANOVA for intergroup comparisons. The test was considered significant if <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05. To analyze the data we used the statistical package SPSS 15.0.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0035" class="elsevierStylePara elsevierViewall">A total of 67 patients were studied, 59.7% of whom were women. The mean age was 48<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.4 years. Some 86.6% of the sample had a family history of PKD. Hepatic cystic disease (using ultrasonography), AHT, hypercholesterolemia and hyperuricemia were present in 61.5%, 73.4%, 32.3% and 38.1% of the patients, respectively.</p><p id="par0040" class="elsevierStylePara elsevierViewall">The patients were classified according to the degree of renal function based on the criteria of the K/DOQI guidelines<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">14</span></a>: 29.9% were stage 1, 19.4% were stage 2, 10.4% were stage 3A, 9% were stage 3B, 20.9% were stage 4 and 9% were stage 5. The TRV measured by MRI varied according to the stage: for the patients in stage 1, the TRV was 909.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>444.5<span class="elsevierStyleHsp" style=""></span>mL; in stage 2, it was 1502.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>730.7<span class="elsevierStyleHsp" style=""></span>mL; in stage 3A, it was 2006.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>637.3<span class="elsevierStyleHsp" style=""></span>mL; in stage 3B, it was 2486.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>955.4<span class="elsevierStyleHsp" style=""></span>mL; in stage 4, it was 2435.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1813.9<span class="elsevierStyleHsp" style=""></span>mL; and in stage 5, it was 2689.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1253.1<span class="elsevierStyleHsp" style=""></span>mL. When the population was divided into two groups according to eGFR (≥60 or <60<span class="elsevierStyleHsp" style=""></span>mL/min), a significant difference was observed between the two groups (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05), with TRVs of 1048.04<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>533.35<span class="elsevierStyleHsp" style=""></span>mL and 2297.66<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1354.86<span class="elsevierStyleHsp" style=""></span>mL, respectively.</p><p id="par0045" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> shows the significant positive association observed between TRV and SCr (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.540, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05) or urea (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.485, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRefs" href="#tbl0005">Tables 1–4</a> summarize the results of the comparisons of renal function and TRV according to sex and the presence of AHT, hypercholesterolemia and hyperuricemia. The group of women showed significantly lower mean SCr levels and TRV than those of the men, with no differences in terms of age, urea and eGFR. The subgroups with AHT and hyperuricemia were older (52<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.8 vs. 38<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.8 years; 56<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.7 vs. 43.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.5 years, respectively; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05) and had higher mean SCr, urea and TRV values and lower eGFRs. The subgroup with hypercholesterolemia was older (59<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.9 vs. 43<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.3 years, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05) and had higher mean urea levels and lower eGFRs; however, there were no differences in terms of TRV.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0055" class="elsevierStylePara elsevierViewall">The problem we face with ADPKD is threefold: first, this is the most prevalent potentially severe genetic kidney disease; second, despite the studies, we do not have a clear tool in clinical practice for monitoring the disease; and thirdly, we do not have a therapeutic arsenal.</p><p id="par0060" class="elsevierStylePara elsevierViewall">Our study shows that TRV measured with MRI is closely related to the patient's renal function and that the presence of risk factors such as AHT, hypercholesterolemia and hyperuricemia is associated with poorer renal function and, thus, a poorer prognosis for the disease. In our center, ADPKD causes 11% of prevalent hemodialysis patients and 13% of those who undergo kidney transplantation, values that are slightly higher than those obtained in other series.</p><p id="par0065" class="elsevierStylePara elsevierViewall">Ultrasonography is useful for the diagnosis and follow-up of the disease,<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">15</span></a> although there is some difficulty in perceiving changes in renal volume. The presence of smaller cysts is also difficult to observe with this technique, which means that it is a limited technique in certain circumstances. To improve the accuracy of the measurement, recent studies have employed CT and MRI to measure renal volume,<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">9,10</span></a> with MRI the most advantageous due to the lack of ionizing radiation. When performing the TRV measurement, we used the “sum of discs” method, which is more accurate and reproducible than the traditional measurement using the ellipsoid formula. We observed higher mean eGFR values and lower urea and SCr readings in the patients with lower TRV.</p><p id="par0070" class="elsevierStylePara elsevierViewall">Various studies have indicated that the frequency of the extrarenal manifestations of AHT, hyperuricemia and hypercholesterolemia is higher among patients with multiple cysts.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">16</span></a> Therefore, our study sought to determine whether the presence of these risk factors is associated with an increased TRV and thus to increased renal function impairment. We can state that the patients with AHT and hyperuricemia had higher SCr, urea and TRV values and lower eGFR; this association was not found in those patients with hypercholesterolemia. The three subgroups were older than the patients who had none of these risk factors, which could be explained by the higher prevalence of these diseases in older age, as happens in the general population. In particular, the higher prevalence of hyperuricemia in the population with multiple cysts could be due more to its relationship with renal function impairment than to the polycystic disease itself.</p><p id="par0075" class="elsevierStylePara elsevierViewall">The CRISP study sought to determine whether the use of MRI for detecting changes in TRV and differences in renal cyst size in the short term is associated with reduced renal function in the early phases of the disease.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">11</span></a> As in our study, the CRISP study observed that eGFR and age were inversely related and that TRV in males was greater than in women. We must consider that our study showed no significant differences in terms of age between the two sexes. The differences in TRV between the men and women cannot therefore be attributed to age but perhaps could be attributed to the fact that there was more advanced kidney disease in the group of men, which could explain why the TRV was greater. Another result of the CRISP study, confirmed in our study, was the relationship between TRV and the presence of AHT. Other studies, such as the HALT study,<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">17</span></a> have shown that strict AHT control is related to a lower increase in TRV, without showing changes in eGFR. Glomerular hyperfiltration also appears to have a significant effect in the initial phases of the disease, which explains why smaller volumes are not associated with worsening eGFR, as happens when the disease is more progressed and the TRV is greater.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">18</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">Among the drug schemes employed to prevent the progression of cysts is the Tolvaptan Efficacy and Safety in Management and Outcomes (TEMPO) program, which is currently underway and has published the phase 3 results. At 3 years, a lesser increase in renal volume was observed in the patients undergoing treatment with tolvaptan, compared with the placebo group.<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">19,20</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">The limitations of our study could include a selection bias, given that the inclusion of patients was conducted by order of arrival at the consultation. Another limitation was that of considering the presence of a specific risk factor only when the patient was undergoing drug treatment to control the risk factor.</p><p id="par0090" class="elsevierStylePara elsevierViewall">In summary, we can conclude that the measurement of TRV using MRI is associated with the renal function of patients with ADPKD. Given the slow progression of kidney disease, multicenter studies should be undertaken with extended follow-ups in which TRV is measured by means of MRI (perhaps every 24 months) and in which a relationship between the change in TRV and progressive renal function impairment is confirmed. In this manner, we can clearly define whether this diagnostic method should be employed in daily practice for predicting patient outcomes and as a tool in the future therapeutic arsenal.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conflicts of interest</span><p id="par0095" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest.</p></span></span>"
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0 => "Renal function"
1 => "Renal polycystic"
2 => "Magnetic resonance"
3 => "Renal volume"
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0 => "Función renal"
1 => "Poliquistosis renal"
2 => "Resonancia magnética"
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"resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To determine in patients with autosomal dominant polycystic kidney disease the relationship between total renal volume (the sum of both kidneys, TRV) as measured by magnetic resonance and renal function; and its behavior according to sex and the presence of arterial hypertension, hypercholesterolaemia and hyperglycemia.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Cross-sectional study including patients with autosomal dominant polycystic kidney disease who underwent periodic reviews at Nephrology external consultations at Hospital de las Nieves de Granada, and who underwent an magnetic resonance to estimate renal volume between January 2008 and March 2011.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">We evaluated 67 patients (59.7% women, average age of 48<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.4 years) and found a significant positive association between TRV and serum creatinine or urea, which was reversed compared with estimated glomerular filtration by MDRD-4 and Cockcroft–Gault formulas. Women showed an average serum creatinine level and a significantly lower TRV level compared with males. Subgroups affected by arterial hypertension and hyperuricemia presented average values for serum creatinine and urea, higher for TRV and lower for estimated glomerular filtration. The hypercholesterolaemia subgroup showed higher average values for urea and lower for estimated glomerular filtration, without detecting significant differences compared with TRV.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The volume of polycystic kidneys measured by magnetic resonance is associated with renal function, and can be useful as a complementary study to monitor disease progression. The presence of arterial hypertension, hyperuricemia or hypercholesterolaemia is associated with a poorer renal function.</p></span>"
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"resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Determinar en pacientes con poliquistosis renal autosómica dominante la relación entre el volumen renal total (suma de ambos riñones, VRT) medido con resonancia magnética y la función renal; y su comportamiento según el sexo y la presencia de hipertensión arterial, hipercolesterolemia e hiperuricemia.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Método</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio transversal en el que se incluyen pacientes con poliquistosis renal autosómica dominante que realizan revisiones periódicas en las consultas externas de Nefrología del Hospital Virgen de las Nieves de Granada, a quienes entre enero de 2008 y marzo de 2011 se les realizó una resonancia magnética para estimar el volumen renal.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Se evaluaron 67 pacientes (59,7% mujeres, edad media 48<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14,4 años). Encontramos asociación positiva significativa entre VRT y creatinina sérica o urea, que resultó inversa frente al filtrado glomerular estimado por MDRD-4 y Cockcroft-Gault. Las mujeres mostraron un nivel medio de creatinina sérica y VRT inferior respecto al varón de forma significativa. Los subgrupos afectos de hipertensión arterial e hiperuricemia mostraron valores medios de creatinina sérica, urea y VRT más altos y filtrados glomerulares estimados inferiores. El subgrupo con hipercolesterolemia mostró valores medios de urea más altos y filtrados glomerulares estimados inferiores sin detectarse diferencias significativas respecto al VRT.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusión</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El volumen de los riñones poliquísticos medido por resonancia magnética se asocia con la función renal, y puede ser útil como estudio complementario para monitorizar la progresión de la enfermedad. La presencia de hipertensión arterial, hiperuricemia o hipercolesterolemia están asociados a una peor función renal.</p></span>"
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"nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Torres-Sánchez MJ, Ávila-Barranco E, Esteban de la Rosa RJ, Fernández-Castillo R, Esteban MA, Carrero JJ, et al. Relación entre función y volumen renal en la poliquistosis renal autosómica dominante: estudio transversal. Rev Clin Esp. 2016;216:62–67.</p>"
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"en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Graphical representation of the association between total renal volume and serum creatinine and urea in patients with polycystic kidney disease (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>67).</p>"
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\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="left" valign="top" scope="col" style="border-bottom: 2px solid black">Man \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Woman \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, years (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.42 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.91 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>.05 \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">SCr, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.37 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.23 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">Urea, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>57.85 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">61.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>45.97 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>.05 \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">MDRD-4 eGFR (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">54.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>38.38 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">66.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>39.50 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>.05 \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">GFR C-G, mL/min (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>48.58 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">74.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>44.69 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>.05 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total renal volume (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2241.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1646.46 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1526.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>843.43 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \t\t\t\t\t\t\n
\t\t\t\t</td></tr></tbody></table>
"""
]
"imagenFichero" => array:1 [
0 => "xTab1001139.png"
]
]
]
]
"descripcion" => array:1 [
"en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Distribution of renal function and total renal volume according to sex.</p>"
]
]
3 => array:7 [
"identificador" => "tbl0010"
"etiqueta" => "Table 2"
"tipo" => "MULTIMEDIATABLA"
"mostrarFloat" => true
"mostrarDisplay" => false
"tabla" => array:1 [
"tablatextoimagen" => array:1 [
0 => array:2 [
"tabla" => array:1 [
0 => """
<table border="0" frame="\n
\t\t\t\t\tvoid\n
\t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" 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="left" valign="top" scope="col" style="border-bottom: 2px solid black">Yes \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">No \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">Age, years (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.8 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.8 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">SCr, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.18<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.01 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.77<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.20 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">Urea, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">83.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>55.68 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.53 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">MDRD-4 eGFR (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>31.13 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">103.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.17 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">GFR C-G, mL/min (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>38.48 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">113.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>35.5 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total renal volume (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2146.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1337.34 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">942.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>518.78 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \t\t\t\t\t\t\n
\t\t\t\t</td></tr></tbody></table>
"""
]
"imagenFichero" => array:1 [
0 => "xTab1001140.png"
]
]
]
]
"descripcion" => array:1 [
"en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Distribution of renal function and total renal volume according to arterial hypertension.</p>"
]
]
4 => array:7 [
"identificador" => "tbl0015"
"etiqueta" => "Table 3"
"tipo" => "MULTIMEDIATABLA"
"mostrarFloat" => true
"mostrarDisplay" => false
"tabla" => array:1 [
"tablatextoimagen" => array:1 [
0 => array:2 [
"tabla" => array:1 [
0 => """
<table border="0" frame="\n
\t\t\t\t\tvoid\n
\t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" 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="left" valign="top" scope="col" style="border-bottom: 2px solid black">Yes \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">No \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, years (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">59<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.9 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.37 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">SCr, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.58<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.66 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.76<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.22 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>.05 \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">Urea, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">86.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>42.29 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>54.56 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">MDRD-4 eGFR (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>26.96 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">71.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>39.28 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">GFR C-G, mL/min (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>26.31 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>46.07 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total renal volume (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2180.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1381.34 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1646.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1207.2 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">>.05 \t\t\t\t\t\t\n
\t\t\t\t</td></tr></tbody></table>
"""
]
"imagenFichero" => array:1 [
0 => "xTab1001138.png"
]
]
]
]
"descripcion" => array:1 [
"en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Distribution of renal function and total renal volume according to hypercholesterolemia.</p>"
]
]
5 => array:7 [
"identificador" => "tbl0020"
"etiqueta" => "Table 4"
"tipo" => "MULTIMEDIATABLA"
"mostrarFloat" => true
"mostrarDisplay" => false
"tabla" => array:1 [
"tablatextoimagen" => array:1 [
0 => array:2 [
"tabla" => array:1 [
0 => """
<table border="0" frame="\n
\t\t\t\t\tvoid\n
\t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" 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="left" valign="top" scope="col" style="border-bottom: 2px solid black">Yes \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">No \t\t\t\t\t\t\n
\t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n
\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, years (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.7 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.52 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">SCr, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.67 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.98 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">Urea, mg/dL (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">105.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>60.17 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>32.59 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">MDRD-4 eGFR (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.32 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">78.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>34.73 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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">GFR C-G, mL/min (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30.09 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">89.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>42.54 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total renal volume (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2543.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1533.4 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1433.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>884.6 \t\t\t\t\t\t\n
\t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><.05 \t\t\t\t\t\t\n
\t\t\t\t</td></tr></tbody></table>
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