was read the article
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"cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Kidney injury after sodium phosphate solution beyond the acute renal failure" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "243" "paginaFinal" => "248" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Daño renal después de preparación colónica con soluciones de fosfato. Más allá del fracaso renal agudo" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1502 "Ancho" => 978 "Tamanyo" => 415104 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Renal biopsy findings in chronic phosphate nephropathy. 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=> array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 8 => array:3 [ "nombre" => "Serafín" "apellidos" => "Tallón Lobo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 9 => array:4 [ "nombre" => "Borja" "apellidos" => "Quiroga" "email" => array:1 [ 0 => "borjaqg@gmail.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 10 => array:3 [ "nombre" => "Gabriel" "apellidos" => "de Arriba" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] ] "afiliaciones" => array:5 [ 0 => array:3 [ "entidad" => "Servicio de Nefrología, Complejo Hospitalario de Toledo, Toledo, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Nefrología, Hospital General Universitario Ciudad Real, Ciudad Real, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Servicio de Nefrología, Complejo Hospitalario Universitario de Albacete, Albacete, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Servicio de Nefrología, Hospital Virgen de la Luz, Cuenca, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Servicio de Nefrología, Hospital Universitario de Guadalajara, Guadalajara, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Estudio evolutivo de las glomerulonefritis en Castilla-La Mancha (GLOMANCHA) en el periodo 1994-2008" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1628 "Ancho" => 1383 "Tamanyo" => 88069 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Distribution of biopsies by centre.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Percutaneous biopsy is the test of choice for the diagnosis of kidney diseases. Nephrologists make decisions regarding treatment and prognosis by studying the biopsy's histological data.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">This technique is safe and relatively simple to perform. Renal biopsy complications are very limited and when they do occur they are mainly minor.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">2</span></a> Some centres even advocate biopsies in an outpatient setting, without the need for hospital admission.<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">3</span></a> Furthermore, practically half of biopsied patients have a potentially treatable disease that tends to include the use of immunosuppressant drugs, thus requiring a certain degree of specificity in the diagnosis due to the adverse effect profile of these treatments.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">4</span></a> Choosing suitable candidates for biopsy is, therefore, a challenge for nephrologists because the benefits of early and treatable diagnosis outweigh the risks if carried out correctly.</p><p id="par0015" class="elsevierStylePara elsevierViewall">Nevertheless, there are no established criteria for performing renal biopsy; the criteria vary according to different centres or countries.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">1</span></a> In general, nephrotic syndrome, nephritic syndrome and acute renal failure tend to be main indications for performing a biopsy.<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">5–7</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Spain's largest histopathological data collection is the Spanish Registry of Glomerulonephritis sponsored by the Spanish Society of Nephrology, which has recorded more than 22,000 biopsies to date.<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">8,9</span></a> In the region of Castilla-La Mancha, all the biopsies performed between 1994 and 2008 at hospitals in Albacete, Ciudad Real, Cuenca, Guadalajara and Toledo have been recorded.</p><p id="par0025" class="elsevierStylePara elsevierViewall">This study aims to explore the epidemiological and clinical characteristics of biopsied patients with a diagnosis of glomerulonephritis in Castilla-La Mancha (GLOMANCHA) and to analyse renal survival and mortality during follow-up.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Patients</span><p id="par0030" class="elsevierStylePara elsevierViewall">Registry of patients who have undergone biopsy in the Autonomous Community of Castilla-La Mancha between 1994 and 2008. Data have been provided by different hospitals from the community provinces (Albacete, Ciudad Real, Cuenca, Guadalajara and Toledo). Forms were sent that included epidemiological data (age and gender) and renal function data (glomerular filtration rate [GFR] and proteinuria) at the time of renal biopsy and at the cut-off date in 2008 (death, alive and requiring renal replacement therapy or alive with no need for renal replacement therapy). Each centre presented its own indications for renal biopsy.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Histological diagnosis</span><p id="par0035" class="elsevierStylePara elsevierViewall">The following histological diagnoses were collected in the registry:<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">-</span><p id="par0040" class="elsevierStylePara elsevierViewall">Minimal change disease.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">-</span><p id="par0045" class="elsevierStylePara elsevierViewall">IgA nephropathy.</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">-</span><p id="par0050" class="elsevierStylePara elsevierViewall">Rapidly progressive type III glomerulonephritis (vasculitis).</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">-</span><p id="par0055" class="elsevierStylePara elsevierViewall">Membranous nephropathy.</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">-</span><p id="par0060" class="elsevierStylePara elsevierViewall">Lupus nephritis.</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">-</span><p id="par0065" class="elsevierStylePara elsevierViewall">Focal segmental glomerulosclerosis.</p></li></ul></p><p id="par0070" class="elsevierStylePara elsevierViewall">Other biopsied diseases were excluded from the analysis (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103) due to the small number of cases recorded (acute glomerulonephritis, membranoproliferative glomerulonephritis types I, II and III, extracapillary types I and II glomerulonephritis and others), as were paediatric patients who underwent biopsy.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Follow-up</span><p id="par0075" class="elsevierStylePara elsevierViewall">Follow-up was ended in 2008, when vital status (alive or dead) and renal status (on renal replacement therapy [RRT] or not) were recorded. We checked for an association between the different factors collected (age, gender, proteinuria and renal function) and survival (renal and overall) and multivariate models were carried out adjusted according to these factors. Proteinuria was analysed dichotomously according to the median for each disease.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Statistical analysis</span><p id="par0080" class="elsevierStylePara elsevierViewall">The variables are expressed as mean (standard deviation) or median (interquartile interval) according to their distribution. The Student's <span class="elsevierStyleItalic">t</span>-test or Chi-squared test were used for parametric variables and the Mann–Whitney test for non-parametric variables. Overall and renal survival studies were performed using univariate and multivariate Cox regression adjusted according to the variables studied (age, gender, GFR and proteinuria). With an aim to show clinically significant predictive parameters in this study, the gender and GFR variables were treated as continuous variables and median proteinuria was taken for each of the diseases studied. Moreover, renal and overall survival curves were performed for the different diseases using the Kaplan–Meier estimator. A <span class="elsevierStyleItalic">p</span>-value <0.05 was considered to be significant. All the analyses were carried out using SPSS v18.0 (SPSS Inc., Chicago, IL, USA).</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Baseline characteristics</span><p id="par0085" class="elsevierStylePara elsevierViewall">Of the 941 biopsies recorded, 555 (59%) were men, with a mean age of 48<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 years. Median GFR estimated by MDRD at the time of biopsy was 50.3 (25.5–76.3) ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, with a median proteinuria of 3.4 (1.5–6.4) g per day. The most common diseases were lupus nephritis, focal segmental glomerulosclerosis and membranous nephropathy. The rest of the data is shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. The distribution according to centre is shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Characteristics of each histological group</span><p id="par0090" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the data collected from the different diseases biopsied. There was male predominance in all the entities – the most striking was IgA glomerulonephritis – except for lupus nephritis (19.4% of the total), in which more women were diagnosed. In terms of age of presentation, lupus nephritis affected patients at the youngest age (34<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 years) in contrast to rapidly progressive glomerulonephritis type III (63<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13 years). Data on renal function and proteinuria vary according to the different diseases studied. Minimal change disease and membranous nephropathy present normal renal function medians (75.3 and 67.1<span class="elsevierStyleHsp" style=""></span>ml/min/m<span class="elsevierStyleSup">2</span>, respectively) with proteinuria greater than 7<span class="elsevierStyleHsp" style=""></span>g per day. Meanwhile, at the time of biopsy, rapidly progressive glomerulonephritis type III presented a very deteriorated GFR (13.6; 7.6–21.55<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) with less proteinuria than the other diseases (1.5; 0.8–2.5<span class="elsevierStyleHsp" style=""></span>g per day).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Follow-up</span><p id="par0095" class="elsevierStylePara elsevierViewall">During follow-up (7.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.8 years), 146 patients died (15.5%); 74 prior to starting RRT (7.8%) and 72 (7.6%) who were already part of the programme. A total of 53 patients were on dialysis at the end of follow-up (5.6%), 74 had received a kidney transplant (7.8%) and 609 (64.7%) were alive and had not required RRT. Fifty-nine (59) patients were lost to follow-up (6.2%).</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Factors associated with renal survival</span><p id="par0100" class="elsevierStylePara elsevierViewall">A total of 199 patients (10.5%) required RRT. <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> shows the renal survival curves for the different diseases. Of these, IgA glomerulonephritis, focal segmental glomerulosclerosis and rapidly progressive glomerulonephritis type III were associated with the worst prognosis. Overall, proteinuria and a decrease in GFR were independent predictive factors for worse renal survival in a model adjusted for age and gender (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). In terms of the diseases individually, deterioration in GFR was associated with worse renal prognosis in all the diseases. However, proteinuria was only an independent predictive factor in IgA glomerulonephritis (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). Taking proteinuria continuously, the results overlapped (data not shown).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Mortality-related factors</span><p id="par0105" class="elsevierStylePara elsevierViewall">A total of 146 patients (15.5%) died during follow-up. <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a> shows the survival curves for the different diseases. Rapidly progressive glomerulonephritis type III presented the worst vital prognosis. Overall, a worse GFR and age (data not shown in the table, HR 1.07; 95% CI: 1.05–1.08; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) were independently associated with mortality in a model adjusted for proteinuria and gender (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). By analysing each disease separately, we found that age was the most important independent predictive factor for mortality in all diseases (data not shown) and only deterioration in GFR predicted mortality in membranous nephropathy, maintaining a trend in the other diseases (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Discussion</span><p id="par0110" class="elsevierStylePara elsevierViewall">The Castilla-La Mancha biopsy registry presents extended follow-up (more than 7 years) and shows that patients undergoing this procedure are predominately men, with a mean age of 48 years, mildly decreased renal function and proteinuria greater than 3<span class="elsevierStyleHsp" style=""></span>g per day. The most common histological diagnoses were lupus nephritis followed by focal segmental glomerulosclerosis and membranous nephropathy. Although these data may initially draw attention, the results must be put into context, as each centre has their own indications for renal biopsy; they do not reflect the total incidence of these diseases, but rather only those which are diagnosed histopathologically. Renal survival is excellent in lupus nephropathy and in minimal change disease, unlike focal segmental glomerulosclerosis and rapidly progressive glomerulonephritis type III. The latter, moreover, has the worst vital prognosis. All these data are consistent with the registries published previously.<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">10,11</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">In terms of incidence, IgA nephropathy has always remained at the head of the Spanish Registry of Glomerulonephritis, followed by lupus nephritis. According to 2010–2013 data, focal segmental glomerulosclerosis and membranous nephropathy were in third and fourth place respectively. This difference with our series is probably due to the lack of biopsies in the IgA group, if they do not present poor prognosis data and if clinical manifestations are suggestive of this disease.</p><p id="par0120" class="elsevierStylePara elsevierViewall">Regarding the diseases with poor renal prognosis, it was interesting that in our sample GFR at the time of biopsy was the predictor for renal survival, and not proteinuria. Only in IgA nephropathy, proteinuria greater than 2<span class="elsevierStyleHsp" style=""></span>g multiplied the risk for starting RRT by 2.9. In a study that included 141 patients, the Spanish Society of Nephrology Glomerular Disease Study Group (GLOSEN) confirmed the excellent prognosis for patients with IgA nephropathy and minimum or null proteinuria in the long term.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">12</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">Rapidly progressive glomerulonephritis type III, which presents the worst prognosis of the diseases studied, has a severely decreased GFR (MDRD 13.6<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>), with a mean age greater than the other diseases (63 years) at the time of biopsy. These 2 situations are consistent with data recently published by the SEN (Spanish Society of Nephrology) registry and both (GFR and age) are responsible for its poor prognosis.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">8</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">Membranous nephropathy is, together with minimal change disease, the disease with the most proteinuria at the time of biopsy (more than 7<span class="elsevierStyleHsp" style=""></span>g per day). Furthermore, both present a GFR greater than 60<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. Overall and renal survival are good at 15 years follow-up (greater than 80%). Nevertheless, membranous nephropathy is probably under-diagnosed. More and more authors are advocating for performing biopsy in diabetic patients with proteinuria, as this is often erroneously attributed to diabetic nephropathy.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">13</span></a> In a recent study published by Soleymanian et al., renal biopsy was performed in 46 diabetic patients with proteinuria, haematuria or impaired kidney function and only 34.8% had pure diabetic nephropathy.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">14</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">At the time of renal biopsy, the patients with focal segmental glomerulosclerosis presented deterioration of renal function with GFR estimated at 45.1<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> and a median proteinuria of 3<span class="elsevierStyleHsp" style=""></span>g per day. These data are consistent with other registries published in the work of Kwon et al., which included 111 Korean adults.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">15</span></a> There was a male predominance (70%) in the sample. Renal function marked the patients’ prognosis, whose renal survival was poor. As in our study, the prognosis factors in the Korean study were renal function and age, but also proteinuria. This is because the final variable of their study was combined, including increased serum creatinine or start of RRT, unlike our study in which we only considered the latter. Moreover, since D’Agati proposed a classification of histological variants in 2003, several studies have aimed to assess renal prognosis in each of these.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">16</span></a> Although there is no clear consensus on whether histological type is a prognostic factor, the collapsing variant seems to be the most aggressive.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">17,18</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">In terms of lupus nephritis, previously published data is confirmed regarding the involvement of mainly young women and proteinuria less than 2<span class="elsevierStyleHsp" style=""></span>g per day. For this disease, membranous nephritis has the best renal prognosis compared to the diffuse proliferative variant.<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">19,20</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">Our study is not exempt of limitations, such as the small amount of data collected from the patients (to facilitate the delivery from the collaborating centres) or its retrospective nature. Moreover, it should be highlighted that only baseline analytical patient data were recorded, which also involves certain limitations. Furthermore, we do not have the treatment data for the patients biopsied and there may be a certain degree of heterogeneity as we looked at diseases from different centres. Nevertheless, the large sample size and follow-up period grant validity to the results presented.</p><p id="par0150" class="elsevierStylePara elsevierViewall">In conclusion, the Castilla-La Mancha Registry of Glomerulonephritis shows the poor prognosis of rapidly progressive glomerulonephritis type III, unlike minimal change disease and lupus nephritis. Renal function is an independent predictor of renal survival and mortality in our population.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Funding</span><p id="par0155" class="elsevierStylePara elsevierViewall">This study was funded in part by the <span class="elsevierStyleGrantSponsor" id="gs1">Sociedad Castellano-Manchega de Nefrología</span> (Castellano-Manchega Nephrology Society).</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Conflicts of interest</span><p id="par0160" class="elsevierStylePara elsevierViewall">None declared.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres828200" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Aim" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec824432" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres828201" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec824431" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Patients" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Histological diagnosis" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Follow-up" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0035" "titulo" => "Results" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Baseline characteristics" ] 1 => array:2 [ "identificador" => "sec0045" "titulo" => "Characteristics of each histological group" ] 2 => array:2 [ "identificador" => "sec0050" "titulo" => "Follow-up" ] 3 => array:2 [ "identificador" => "sec0055" "titulo" => "Factors associated with renal survival" ] 4 => array:2 [ "identificador" => "sec0060" "titulo" => "Mortality-related factors" ] ] ] 7 => array:2 [ "identificador" => "sec0065" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0070" "titulo" => "Funding" ] 9 => array:2 [ "identificador" => "sec0075" "titulo" => "Conflicts of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-04-20" "fechaAceptado" => "2016-01-14" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec824432" "palabras" => array:4 [ 0 => "Glomerulonephritis" 1 => "Mortality" 2 => "Registry" 3 => "Renal survival" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec824431" "palabras" => array:4 [ 0 => "Glomerulonefritis" 1 => "Mortalidad" 2 => "Registro" 3 => "Supervivencia renal" ] ] ] ] "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">Renal biopsy registries allow histopathological data to be collected to improve knowledge of different pathologies and their natural history.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Aim</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To analyse the data of the Castilla La Mancha Glomerulonephritis Registry (GLOMANCHA) and the evolution of the different biopsy-proven pathologies between 1994 and 2008.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The 6 most common biopsy-proven pathologies were collected during the 14 years of the study (941 biopsies) in the 5 participant centres of the autonomous community. In 2008, we assessed patient renal survival and mortality and we evaluated associated factors to each situation for each pathology.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Of the 941 biopsies, 59% belonged to men, with a mean age of 48<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 years. At the time of the biopsy, the median glomerular filtration rate was 50.3 (25.5–76.3) ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup"><span class="elsevierStyleSmallCaps">2</span></span> and median proteinuria was 3.4 (1.5–6.4) grams per day. The most common pathology were lupus nephropathy, followed by focal segmental glomerulosclerosis and membranous nephropathy. Lupus nephropathy and minimal change disease achieved the best renal prognosis during follow-up (mean 7.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.8 years). Rapidly progressive glomerulonephritis type 3 and focal segmental glomerulosclerosis had the worst renal prognosis. In addition, rapidly progressive glomerulonephritis type 3 presented the worst vital prognosis.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusions</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">In GLOMANCHA, we demonstrate the poor prognosis of rapidly progressive glomerulonephritis type 3, in contrast to minimal change disease or lupus nephropathy. Renal function is an independent predictor of renal survival and mortality in this study.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Aim" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Antecedentes</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Los registros de biopsias renales permiten la recogida de datos histopatológicos que, puestos en su conjunto, ayudan a comprender enfermedades y su historia natural.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Analizar los datos del Registro de Glomerulonefritis de Castilla-La Mancha (GLOMANCHA) y la evolución de las diferentes enfermedades biopsiadas (1994-2008).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Métodos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Se recogieron las 6 enfermedades biopsiadas más prevalentes durante los 14 años (941 biopsias) en 5 hospitales de la comunidad autónoma. En 2008 se evaluó la situación vital y renal de los pacientes y se analizaron los factores asociados a dicha situación en cada enfermedad.</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">De las 941 biopsias, el 59% fueron de varones con una edad media de 48<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 años. En el momento de la biopsia la mediana de filtrado glomerular (FG) era de 50,3 (25,5-76,3) ml/min/1,73 m<span class="elsevierStyleSup">2</span> y la de proteinuria de 3,4 (1,5-6,4) g al día. La enfermedad más frecuente fue la nefropatía lúpica, seguida de la glomeruloesclerosis focal y segmentaria, y de la membranosa. El mejor pronóstico renal durante el seguimiento (media 7,3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4,8 años) fue el de la nefropatía lúpica y la nefropatía por cambios mínimos; la glomeruloesclerosis focal y segmentaria y las glomerulonefritis rápidamente progresivas de tipo 3 tuvieron el peor pronóstico renal. Esta última, además, tuvo el peor pronóstico vital.</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusiones</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">GLOMANCHA demuestra el mal pronóstico de las glomerulonefritis rápidamente progresivas de tipo 3, a diferencia de la nefropatía por cambios mínimos y lúpica. La función renal es un predictor independiente de supervivencia renal y de mortalidad en nuestra población.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivos" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0045">Please cite this article as: Conde Olasagasti JL, Acevedo Ribó M, Roca Muñoz A, Vozmediano Poyatos C, Rivera F, Illescas Fernández-Bermejo ML, et al. Estudio evolutivo de las glomerulonefritis en Castilla-La Mancha (GLOMANCHA) en el periodo 1994-2008. Nefrologia. 2016;36:237–242.</p>" ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1628 "Ancho" => 1383 "Tamanyo" => 88069 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Distribution of biopsies by centre.</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" => 1406 "Ancho" => 1654 "Tamanyo" => 155845 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Renal survival curve of the different diseases biopsied.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1380 "Ancho" => 1655 "Tamanyo" => 146635 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Overall survival curve of the different diseases biopsied.</p>" ] ] 3 => 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 [ "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=""><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">Gender (male)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">59% \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)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48 (18)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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">Renal function (MDRD) (ml/min/1.73</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">)</span><a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50.3 (25.5–76.3)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \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">Proteinuria (g/day)</span><a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.4 (1.5–6.4) \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">Histological diagnosis, n (%)</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>Lupus nephritis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">204 (21.7)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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>Focal segmental \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">179 (19.0)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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>Membranous \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">177 (18.8)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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>Rapidly progressive type III \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">155 (16.5)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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>IgA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">137 (14.6)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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>Minimal change disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">89 (9.5)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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">Follow-up (years)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.3 (4.8)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1393510.png" ] ] ] "notaPie" => array:3 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Mean (standard deviation).</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Median (interquartile range).</p>" ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">At renal biopsy.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of the population biopsied.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">MCD: minimal change disease; RPGN type III: rapidly progressive glomerulonephritis type III; FSGS: focal segmental glomerulosclerosis; IgA: IgA nephropathy; LN: lupus nephritis; MN: membranous nephritis.</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">MCD \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">FSGS \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">MN \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">IgA \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">RPGN type III \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">LN \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">Gender (male) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.2% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">70.9% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">59.3% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">81.9% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55.5% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19.4% \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)<a class="elsevierStyleCrossRef" href="#tblfn0020"><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="char" valign="top">46 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">63 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34 (15) \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">Renal function (MDRD) (ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>)<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">b</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">c</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75.3 (50.5–96.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45.1 (29.3–63.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">67.1 (41.5–83.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.1 (28.5–73.05) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.6 (7.6–21.55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65.9 (46.9–85.3) \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">Proteinuria (g/day)<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">b</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">c</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.5 (5.0–11.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.0 (1.7–5.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.1 (4.9–11.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.0 (1.1–3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5 (0.8–2.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.8 (1.2–4.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1393511.png" ] ] ] "notaPie" => array:3 [ 0 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Mean (standard deviation).</p>" ] 1 => array:3 [ "identificador" => "tblfn0025" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Median (interquartile range).</p>" ] 2 => array:3 [ "identificador" => "tblfn0030" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0030">At renal biopsy.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of the patients according to histological diagnosis.</p>" ] ] 5 => 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:3 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">GN: glomerulonephritis; HR (95% CI): hazard ratio (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 " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Unadjusted renal survival</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Adjusted renal survival<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">a</span></a></th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Unadjusted overall survival</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Adjusted overall survival<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">a</span></a></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">HR (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> \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">HR (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> \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">HR (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> \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">HR (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> \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 " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">Focal segmental glomerulosclerosis (n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">179)</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>Initial MDRD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.95–0.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.95–0.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.94–0.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.98 (0.96–1.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.09 \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>Proteinuria<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>3<span class="elsevierStyleHsp" style=""></span>g/day<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.49 (0.91–2.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.44 (0.86–2.43) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.69 (0.78–3.67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.38 (0.62–3.06) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.42 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" 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="9" align="left" valign="top"><span class="elsevierStyleItalic">Membranous nephropathy (n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">177)</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>Initial MDRD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.95 (0.94–0.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.94–0.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.95–0.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.98 (0.96–0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.02 \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>Proteinuria<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>7.1<span class="elsevierStyleHsp" style=""></span>g/day<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.01 (0.41–2.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.70 (0.27–1.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.12 (1.00–4.49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.51 (0.70–3.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.29 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" 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="9" align="left" valign="top"><span class="elsevierStyleItalic">IgA nephropathy (n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">137)</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>Initial MDRD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.95 (0.94–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.94 (0.93–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97 (0.93–0.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.98 (0.95–1.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.09 \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>Proteinuria<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>2.0<span class="elsevierStyleHsp" style=""></span>g/day<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.28 (1.29–4.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.91 (1.61–5.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.21 (0.48–3.06) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.93 (0.32–2.67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.89 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" 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="9" align="left" valign="top"><span class="elsevierStyleItalic">Rapidly progressive GN type III (n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">155)</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>Initial MDRD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.91 (0.87–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.91 (0.87–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.92–0.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97 (0.94–1.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.08 \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>Proteinuria<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>1.5<span class="elsevierStyleHsp" style=""></span>g/day<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.28 (0.65–2.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.47 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.15 (0.58–2.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.02 (0.58–1.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.94 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.07 (0.61–1.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.80 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" 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="9" align="left" valign="top"><span class="elsevierStyleItalic">Complete sample (n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">941)</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>Initial MDRD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.95 (0.94–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.95–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.96 (0.95–0.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97 (0.97–0.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \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>Proteinuria<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>3.4<span class="elsevierStyleHsp" style=""></span>g/day<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 (0.77–1.39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.79 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.49 (1.11–2.02) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.98 (0.71–1.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.93 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.15 (0.81–1.64) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.43 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1393512.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0035" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0035">Each disease has been analysed separately using univariate Cox regression and adjusted for age and gender. The initial glomerular filtration rate (MDRD) was used as a continuous variable, and proteinuria greater than the median for each disease.</p>" ] 1 => array:3 [ "identificador" => "tblfn0040" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0040">Median proteinuria for each category.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Univariate and multivariate Cox regression for renal and overall survival of the categories with a worse prognosis.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:20 [ 0 => array:3 [ "identificador" => "bib0105" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Biopsia renal" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "F. 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Year/Month | Html | Total | |
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2024 November | 2 | 3 | 5 |
2024 October | 42 | 36 | 78 |
2024 September | 46 | 24 | 70 |
2024 August | 64 | 52 | 116 |
2024 July | 35 | 38 | 73 |
2024 June | 57 | 34 | 91 |
2024 May | 42 | 31 | 73 |
2024 April | 59 | 38 | 97 |
2024 March | 44 | 29 | 73 |
2024 February | 29 | 32 | 61 |
2024 January | 33 | 23 | 56 |
2023 December | 20 | 27 | 47 |
2023 November | 31 | 33 | 64 |
2023 October | 57 | 21 | 78 |
2023 September | 29 | 32 | 61 |
2023 August | 30 | 17 | 47 |
2023 July | 26 | 31 | 57 |
2023 June | 29 | 23 | 52 |
2023 May | 46 | 30 | 76 |
2023 April | 36 | 14 | 50 |
2023 March | 50 | 16 | 66 |
2023 February | 45 | 24 | 69 |
2023 January | 33 | 19 | 52 |
2022 December | 61 | 21 | 82 |
2022 November | 66 | 37 | 103 |
2022 October | 56 | 33 | 89 |
2022 September | 45 | 30 | 75 |
2022 August | 40 | 39 | 79 |
2022 July | 41 | 41 | 82 |
2022 June | 35 | 36 | 71 |
2022 May | 76 | 33 | 109 |
2022 April | 51 | 40 | 91 |
2022 March | 71 | 54 | 125 |
2022 February | 64 | 40 | 104 |
2022 January | 42 | 31 | 73 |
2021 December | 41 | 31 | 72 |
2021 November | 37 | 35 | 72 |
2021 October | 46 | 42 | 88 |
2021 September | 34 | 28 | 62 |
2021 August | 25 | 46 | 71 |
2021 July | 98 | 38 | 136 |
2021 June | 41 | 30 | 71 |
2021 May | 50 | 48 | 98 |
2021 April | 115 | 104 | 219 |
2021 March | 57 | 43 | 100 |
2021 February | 63 | 24 | 87 |
2021 January | 67 | 24 | 91 |
2020 December | 37 | 22 | 59 |
2020 November | 44 | 13 | 57 |
2020 October | 42 | 18 | 60 |
2020 September | 41 | 23 | 64 |
2020 August | 68 | 29 | 97 |
2020 July | 27 | 15 | 42 |
2020 June | 32 | 16 | 48 |
2020 May | 42 | 16 | 58 |
2020 April | 27 | 13 | 40 |
2020 March | 41 | 19 | 60 |
2020 February | 43 | 23 | 66 |
2020 January | 53 | 25 | 78 |
2019 December | 54 | 21 | 75 |
2019 November | 43 | 21 | 64 |
2019 October | 27 | 13 | 40 |
2019 September | 25 | 9 | 34 |
2019 August | 27 | 17 | 44 |
2019 July | 25 | 17 | 42 |
2019 June | 24 | 14 | 38 |
2019 May | 45 | 18 | 63 |
2019 April | 91 | 22 | 113 |
2019 March | 41 | 33 | 74 |
2019 February | 32 | 26 | 58 |
2019 January | 28 | 21 | 49 |
2018 December | 146 | 45 | 191 |
2018 November | 254 | 20 | 274 |
2018 October | 254 | 17 | 271 |
2018 September | 106 | 26 | 132 |
2018 August | 39 | 19 | 58 |
2018 July | 38 | 11 | 49 |
2018 June | 61 | 17 | 78 |
2018 May | 41 | 10 | 51 |
2018 April | 117 | 8 | 125 |
2018 March | 100 | 15 | 115 |
2018 February | 74 | 9 | 83 |
2018 January | 141 | 9 | 150 |
2017 December | 58 | 10 | 68 |
2017 November | 56 | 10 | 66 |
2017 October | 54 | 9 | 63 |
2017 September | 53 | 15 | 68 |
2017 August | 75 | 28 | 103 |
2017 July | 90 | 20 | 110 |
2017 June | 101 | 11 | 112 |
2017 May | 89 | 15 | 104 |
2017 April | 93 | 15 | 108 |
2017 March | 77 | 16 | 93 |
2017 February | 38 | 9 | 47 |
2017 January | 46 | 13 | 59 |
2016 December | 62 | 10 | 72 |
2016 November | 88 | 23 | 111 |
2016 October | 98 | 15 | 113 |
2016 September | 107 | 3 | 110 |
2016 August | 82 | 3 | 85 |
2016 July | 15 | 0 | 15 |