Pentraxin-2 is Associated with Renal Fibrosis in Patients Undergoing Renal Biopsy

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Renal Fibrosis in Patients Undergoing Renal Biopsy" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Taner Basturk, David Ojalvo, Emrah Erkan Mazi, Nuri Baris Hasbal, Ayse Aysim Ozagari, Elbis Ahbap, Tamer Sakaci, Yener Koc, Mustafa Sevinc, Abdulkadir Unsal" "autores" => array:10 [ 0 => array:3 [ "nombre" => "Taner" "apellidos" => "Basturk" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "aff1" ] 1 => array:2 [ "etiqueta" => "II" "identificador" => "aff2" ] ] ] 1 => array:3 [ "nombre" => "David" "apellidos" => "Ojalvo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "III" "identificador" => "aff3" ] ] ] 2 => array:3 [ "nombre" => "Emrah Erkan" "apellidos" => "Mazi" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "II" "identificador" => "aff2" ] ] ] 3 => array:3 [ "nombre" => "Nuri Baris" "apellidos" => "Hasbal" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "IV" "identificador" => "aff4" ] ] ] 4 => 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"identificador" => "aff1" ] 1 => array:2 [ "etiqueta" => "II" "identificador" => "aff2" ] ] ] ] "afiliaciones" => array:6 [ 0 => array:3 [ "entidad" => "University of Health Sciences, Sisli Hamidiye Etfal Teaching and Research Hospital, Istanbul, Turkey" "etiqueta" => "I" "identificador" => "aff1" ] 1 => array:3 [ "entidad" => "Vardcentralen Wisby Soder, General Medicine, Gotland, Sweden" "etiqueta" => "II" "identificador" => "aff2" ] 2 => array:3 [ "entidad" => "Sisli Hamidiye Etfal Teaching and Research Hospital, Department of Nephrology, Istanbul, Turkey" "etiqueta" => "III" "identificador" => "aff3" ] 3 => array:3 [ "entidad" => "Hakkari State Hospital, Department of Nephrology, Hakkari, Turkey" "etiqueta" => "IV" "identificador" => "aff4" ] 4 => array:3 [ "entidad" => "Sisli Hamidiye Etfal Teaching and Research Hospital, Department of Pathology, Istanbul, Turkey" "etiqueta" => "V" "identificador" => "aff5" ] 5 => array:3 [ "entidad" => "Cumhuriyet University, Faculty of Medicine, Department of Internal Medicine, Division of Nephrology, Sivas, Turkey" "etiqueta" => "VI" "identificador" => "aff6" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor1" "etiqueta" => "*" "correspondencia" => "Corresponding author." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1242 "Ancho" => 1544 "Tamanyo" => 64639 ] ] "descripcion" => array:1 [ "en" => "Decrease in serum PTX-2 levels relative to the severity of renal fibrosis." ] ] ] "textoCompleto" => "INTRODUCTIONChronic kidney disease (CKD) has been a growing health-care problem with increasing prevalence. More than 10% of the population in developed countries is considered to have CKD, with a variety of etiologies such as hypertension, diabetes, glomerulonephritis, and so on (<a class="elsevierStyleCrossRef" href="#bib1">1</a>). The renal parenchyma loses its function because of the immoderate deposition of extracellular matrix components, resulting in renal fibrosis. This kind of fibrosis can affect all histological components of the kidney; it is specifically termed as arteriosclerosis/perivascular fibrosis in the vasculature, interstitial fibrosis in the tubulointerstitium, and glomerulosclerosis in the glomeruli. The degree of tubulointerstitial fibrosis and tubular atrophy in histopathology is well correlated with renal outcomes (<a class="elsevierStyleCrossRef" href="#bib2">2</a>).Pentraxin-2 (PTX-2), also named as serum amyloid P component, is a constitutive, anti-inflammatory plasma protein associated with the innate immune system. Recently, the circulating level of this protein was shown to be decreased in chronic fibrotic diseases (<a class="elsevierStyleCrossRef" href="#bib3">3</a>). PTX-2 has a unique binding profile, suggesting that it may accumulate at injury sites and helps removing damaged tissue in a non-phlogistic manner. In some fibrotic diseases such as nonalcoholic steatohepatitis, end-stage renal disease, and idiopathic pulmonary fibrosis, continuous generation and utilization of PTX-2 may result in decreasing serum PTX-2 levels (<a class="elsevierStyleCrossRefs" href="#bib4">4–6</a>). In this study, we aimed to determine the relationship between PTX-2 levels and the presence or severity of renal fibrosis in patients undergoing percutaneous renal biopsy.MATERIAL AND METHODSThe study groupThis cross-sectional study was performed at the Sisli Hamidiye Etfal Teaching and Research Hospital between April 2016 and April 2017 in Istanbul, Turkey. The study included 45 patients who were older than 18 years and had an indication for renal biopsy (Biopsy Group; BG) along with 16 healthy individuals (HIs; for serum parameters only). Informed consent was obtained from all subjects and the study protocol was approved by the Hospital's Ethical Committee.The indications assessed by a nephrologist for renal biopsy included acute kidney injury, non-nephrotic proteinuria, proteinuria with coexisting hematuria, isolated hematuria, nephrotic syndrome, and progressive CKD (eGFR≤60 mg/min per 1.73 m2). Proteinuria at more than 3.5 g/day and serum albumin below 3.0 g/L were defined as nephrotic syndrome. Non-nephrotic proteinuria was defined as proteinuria lower than 3.5 g/day or proteinuria with concomitant hematuria. Biopsy indications for patients with type 2 diabetes including unexplained rapid worsening of renal function, microscopic hematuria, and proteinuria without diabetic retinopathy. Patients who were clinically suspected for non-diabetic renal disease were selected, examined, and a biopsy was performed if a patient fulfilled the above-mentioned criteria.Patients who had a small hyperechoic kidney (<9 cm), solitary kidney, multiple and bilateral cysts or renal tumors, anatomical kidney anomalies, active renal, perirenal, or biopsy site infection, malignancy, severe resistant hypertension, or uncontrollable bleeding disorder were excluded. Medications altering the coagulation cascade were withheld until an appropriate time before the procedure. Patients in the biopsy group were evaluated using ultrasonography by an experienced radiologist for kidney biopsy eligibility. The biopsies were performed by an experienced nephrologist or interventional radiologist. After the biopsy, all patients were kept under observation in the hospital for a day in case of complications.Laboratory testsOn the day of the kidney biopsy, fasting serum samples for biochemical evaluation were obtained at 08:00 a.m. in all cases. Values of laboratory parameters including complete blood cell counts and serum levels of creatinine, albumin, C-reactive protein (CRP), C3, and C4 were measured using standard enzymatic procedures. Proteinuria was quantified based on 24-h urinary protein excretion measurements. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was used to determine the estimated glomerular filtration rate (eGFR). The severity of kidney failure was estimated according to the Kidney Disease Improving Global Outcomes (KDIGO) guidelines. The body mass index (BMI) was defined as the weight in kilograms/(height in meter)2. Proteinuria was excluded in the control group by examining a random morning urine sample.Blood samples for PTX-2 quantification were obtained on the same day when the patients underwent percutaneous renal biopsy. The sera were kept at -80°C until use. The levels of PTX-2 were determined by enzyme-linked immunosorbent assay (ELISA) (Invitrogen, Grand Island, New York, USA) as per the manufacturer's recommendations.Pathological evaluationThe biopsy specimens of the patients were examined by a single experienced pathologist using light and immunofluorescence microscopy. Routine staining analyses, including hematoxylin and eosin, periodic Schiff-methenamine, periodic acid-Schiff reagent, and Masson trichrome staining, were performed. Congo red and methyl violet staining analyses were also performed for samples from some patients. Immunofluorescence staining was performed for IgA, IgG, IgM, C3, C4, C1q, and kappa/lambda light chains.Interstitial fibrosis and tubular atrophy were scored according to the Banff 97 criteria, with scores from 0 to 3 based on the percentage of cortical parenchyma involved (<a class="elsevierStyleCrossRef" href="#bib7">7</a>). A total renal chronicity score, recently proposed by Sethi et al., was also calculated. Arteriosclerosis/arteriolosclerosis (CV), global and segmental glomerulosclerosis (GS), interstitial fibrosis (IF), and tubular atrophy (TA) were evaluated. The CV was scored from 0 to 1, GS, from 0 to 3, IF, from 0 to 3, and TA, from 0 to 3. The total renal chronicity score was obtained by summing all the scores to stage the overall severity of the chronic lesions as minimal (0-1 total score), mild (2-4 total score), moderate (5-7 total score), and severe (≥8 total scores) (<a class="elsevierStyleCrossRef" href="#bib2">2</a>).Statistical analysisSPSS 21.0 for Windows was used for statistical analysis. Descriptive statistics were presented as number and percentage for categorical changes: as average, standard deviation, minimum, maximum, and median for numerical variations. When the numerical variations maintained the normal distribution conditions, the two independent groups were compared using the Student's t-test, and when the numerical variations did not maintain the normal distribution conditions, three or more groups were compared using the Kruskal-Wallis test. The study group analysis was performed with Mann Whitey U test and interpreted with Bonferroni correction. The ratios in the groups were compared using Chi-Square analysis. As the relations between numerical variations did not meet the parametrical test condition, Spearman Correlation analysis was used. p<0.05 was considered statistically significant.RESULTSThis study included 45 patients in the Biopsy Group (BG) and 16 HIs. Their demographic, clinical, and laboratory data are shown in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>. The BG had older age, higher BMI, and higher diastolic pressure (<a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>). As expected, lower eGFR and serum albumin levels, and higher serum urea, serum creatinine, and serum C-reactive protein levels were detected in the BG group than in the HIs group. The serum PTX-2 levels were significantly lower in the BG group (p=0.012).<elsevierMultimedia ident="tbl1"></elsevierMultimedia>The stage of kidney failure was determined for each subject. The numbers of patients with stages 1-5 of kidney failure were: 9 (20%), 16 (35.6%), 8 (17.8%), 6 (13.3%), and 6 (13.3%), respectively. There was no correlation between the stage of kidney failure and PTX-2 level. The pathological diagnosis of the patients was as follows: focal segmental glomerulosclerosis (FSGS) (n=18), IgA nephropathy (n=9), membranous glomerulonephritis (MGN) (n=6), amyloidosis (n=3), tubulointerstitial nephritis (n=3), lupus nephritis (n=2), myeloma cast nephropathy (n=1), cholesterol crystal embolism (n=1), membranoproliferative glomerulonephritis (n=1), and diabetic glomerulosclerosis (n=1).The pathological evaluation of biopsy specimens is summarized in <a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>. The severity of fibrosis was reported as minimal (n=14; 31.1%), mild (n=17; 37.8%), moderate (n=11; 24.4%), and severe (n=3; 6.7%). The mean serum PTX-2 levels of the patients with minimal, mild, moderate, and severe renal fibrosis were 38.0±18.1 ng/mL, 32.8±17.1 ng/mL, 16.3±16.6 ng/mL, and 7.9±5.3 ng/mL, respectively. In the subgroup analysis, patients with moderate renal fibrosis had significantly lower serum PTX-2 levels than those with minimal and mild fibrosis (p=0.017 and p=0.010, respectively) (<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>). There was no difference between the PTX-2 levels in patients with minimal and mild fibrosis. As the number of patients with severe fibrosis (n=3) was very low, subgroup analysis could not be performed. Univariate correlations between the PTX-2 levels and pathological findings are shown in <a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>. Although there were small numbers of patients with each pathological diagnosis, no significant differences were found between the median PTX-2 levels and each diagnosis type. Based on the Spearman's rank correlations (Rho), PTX-2 concentrations were correlated with serum albumin levels (r=0.30, p=0.016), and negatively with serum creatinine (rho=-0.42, p=0.01) and BMI (r=-0.32, p=0.011) (<a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>).<elsevierMultimedia ident="tbl2"></elsevierMultimedia><elsevierMultimedia ident="fig1"></elsevierMultimedia><elsevierMultimedia ident="tbl3"></elsevierMultimedia>DISCUSSIONPentraxins such as pentraxin-2 (known as serum amyloid P, SAP) regulate various features of the innate immune system. PTX-2 increases the migration of immune-regulatory macrophages, suppresses the differentiation of monocyte-derived fibroblast-like cells, and inhibits neutrophil adhesion to extracellular matrix proteins (<a class="elsevierStyleCrossRef" href="#bib3">3</a>).A prognostic marker for CKD has been explored for years. A large number of serum and urinary molecules such as NGAL, KIM-1, MCP-1, MMP-9, interleukin-18, clusterin, MMP-9, TIMP-1, Procollagen I alpha 1, FGF-23, suPAR, as well as PTX-2 are under investigation to predict CKD progression (<a class="elsevierStyleCrossRef" href="#bib8">8</a>,<a class="elsevierStyleCrossRef" href="#bib9">9</a>). All these biomarkers have been studied for predicting CKD progression in cohorts of patients with different stages of chronic kidney disease and with various etiologies (proteinuric and non-proteinuric glomerulonephritis, diabetic, hypertensive, and polycystic kidney diseases). However, the available data are insufficient to draw final conclusions. Thus, further studies with larger cohorts and longer follow-up periods are required.Accumulation of PTX-2 at the site of fibrosis has been shown in animal models (<a class="elsevierStyleCrossRef" href="#bib10">10</a>). PTX-2 suppresses the differentiation of monocytes into fibrotic and inflammatory macrophages and fibrocytes, while supporting their differentiation into regulatory macrophages (<a class="elsevierStyleCrossRef" href="#bib11">11</a>). Therefore, epithelial healing and decomposition of scarring and inflammation are promoted. At fibrotic sites, continuous production and consumption of PTX-2 may result in reduced levels of the protein in fibrotic diseases, as seen in idiopathic end-stage renal disease, pulmonary fibrosis, and nonalcoholic steatohepatitis (<a class="elsevierStyleCrossRef" href="#bib5">5</a>,<a class="elsevierStyleCrossRef" href="#bib12">12</a>,<a class="elsevierStyleCrossRef" href="#bib13">13</a>).Castaão et al. performed a study about the anti-fibrotic effects of PTX-2 and the potential mechanisms underlying its action. Human SAP (hSAP) was found to be a natural inhibitor of fibrosis during kidney injury via the downregulation of fibrotic collagen gene transcription. On the contrary, fibrocytes were infrequently seen in injured kidneys following treatment with hSAP, proving that fibrocytes do not play a major role in fibrosis. A correlation between loss of kidney function and lower hSAP concentrations has also been reported in mice (<a class="elsevierStyleCrossRef" href="#bib5">5</a>).Another study focused on recombinant PTX-2 treatment in mice deficient in the kidney microvascular basement membrane protein collagen type IV (α)3 (Col4a3-1-mice) (<a class="elsevierStyleCrossRef" href="#bib6">6</a>). This protein plays a key role in human Alport Syndrome (<a class="elsevierStyleCrossRef" href="#bib14">14</a>). The mutant mice that received intraperitoneal recombinant human PTX-2 (rhPTX-2) injections for 9 weeks showed an improvement in their lifespan by >20%. rhPTX-2-treated mice showed reduced glomerulosclerosis, preserved podocyte numbers in glomeruli, approximately 40% less tubule injury, and attenuated interstitial fibrosis. Nakagawa et al. also reported decreased numbers of macrophages in the diseased kidneys, enhancement of IL-10 production, and downregulation of secreted proteins associated with fibrosis following rhPTX-2 administration. The transcriptional regulator c-Jun and its activator protein-1 binding partners were identified in this study as the main target for rhPTX-2 function (<a class="elsevierStyleCrossRef" href="#bib6">6</a>).All the subjects enrolled in our study were indicated for renal biopsy, and fibrosis was found ranging from the minimal to severe grade in all the specimens. Thus, in agreement with animal studies, PTX-2 levels were lower in patients with renal fibrosis than in HIs. We also found significantly lower PTX-2 levels in patients with moderate renal fibrosis than in those with minimal and mild fibrosis. As the number of patients with severe renal fibrosis was small, we could not perform a subgroup analysis; however, it is noteworthy that this group had the lowest PTX-2 level.We also found that the level of PTX-2 was negatively correlated with the BMI. Although the sample size was small, there were no associations between BMI and the pathological diagnosis of patients. However, it is expected that patients with FSGS may have higher BMI. Obesity-associated FSGS is a well-known phenomenon, and is also called obesity-related glomerulopathy. The pathological components of this disease include glomerulomegaly, FSGS (particularly the perihilar variant), reduced glomerular and podocyte density, and diabetoid changes (<a class="elsevierStyleCrossRef" href="#bib15">15</a>). Isolated proteinuria characterized as stable or slowly progressive is the cornerstone clinical manifestation of this disease. Further, there is a correlation between proteinuria and the number of glomeruli showing FSGS. Therefore, higher BMI-induced glomerulomegaly, podocyte injury, FSGS, and fibrosis may explain the negative association between the PTX-2 levels and BMI.Based on the potential role of PTX-2 in wound healing and fibrosis, an increasing number of studies are testing PTX-2 as a therapeutic agent. For instance, Blink et al. performed a study of 21 patients with idiopathic pulmonary fibrosis (IPF) and did not report any benefit of PTX-2 (PRM-151) administration (<a class="elsevierStyleCrossRef" href="#bib16">16</a>). Raghu et al. designed a similar multicenter study with 117 patients and reported a slower decline in lung function over 28 weeks, as infusions of human PTX-2 were administered to patients with IPF (<a class="elsevierStyleCrossRef" href="#bib12">12</a>). We believe that PTX-2, as a potential treatment strategy for patients with renal fibrosis, will be the focus of human trials in the near future.This study has a few limitations; it was a single center study with a small cohort size and a limited number of unmatched healthy controls. As the number of patients with severe renal fibrosis was small, we could not perform a subgroup analysis. Further, because there were only a few patients for each pathological diagnosis, we could not evaluate the difference between the serum PTX-2 levels in various specific diseases.In conclusion, we report the first study in human subjects investigating the level of PTX-2 in patients who underwent renal biopsy. This study demonstrated that PTX-2 levels are lower in patients with renal fibrosis than HIs and declining further in patients with more severe fibrosis. Therefore, PTX-2 may be a biomarker of fibrosis, and could be used as a prognostic indicator to guide treatment. However, extensive additional studies are required to firmly establish the relationship between serum PTX-2 levels and renal fibrosis.CONFLICTS OF INTERESTThe article was presented as an oral presentation at the 36th National Congress of Nephrology, Antalya, Turkey on 19th October 2019.AUTHOR CONTRIBUTIONSBasturk T and Ahbap E contributed in research idea and study design. Ojalvo D, Mazi EE, Ozagari AA and Hasbal NB contributed with data acquisition, analysis and interpretation. Ojalvo D and Ahbap E were responsible for statistical analysis. Basturk T, Ahbap E, Sakaci T, Koc Y, Sevinc M, Unsal A contributed to supervision or mentorship." "textoCompletoSecciones" => array:1 [ "secciones" => array:8 [ 0 => array:2 [ "identificador" => "xpalclavsec1580119" "titulo" => "KEYWORDS" ] 1 => array:2 [ "identificador" => "cesec10" "titulo" => "INTRODUCTION" ] 2 => array:3 [ "identificador" => "cesec20" "titulo" => "MATERIAL AND METHODS" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "cesec30" "titulo" => "The study group" ] 1 => array:2 [ "identificador" => "cesec40" "titulo" => "Laboratory tests" ] 2 => array:2 [ "identificador" => "cesec50" "titulo" => "Pathological evaluation" ] 3 => array:2 [ "identificador" => "cesec60" "titulo" => "Statistical analysis" ] ] ] 3 => array:2 [ "identificador" => "cesec70" "titulo" => "RESULTS" ] 4 => array:2 [ "identificador" => "cesec80" "titulo" => "DISCUSSION" ] 5 => array:2 [ "identificador" => "cesec90" "titulo" => "CONFLICTS OF INTEREST" ] 6 => array:2 [ "identificador" => "cesec100" "titulo" => "AUTHOR CONTRIBUTIONS" ] 7 => array:1 [ "titulo" => "REFERENCES" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2020-06-08" "fechaAceptado" => "2020-06-30" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "KEYWORDS" "identificador" => "xpalclavsec1580119" "palabras" => array:3 [ 0 => "Pentraxin" 1 => "Renal Fibrosis" 2 => "Chronic Kidney Disease" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "resumen" => "OBJECTIVES:Progressive renal disease is characterized by histological changes in the kidney and fibrosis is a common outcome. Renal biopsy is the only diagnostic tool to evaluate these histopathological changes. Pentraxin-2 (PTX-2) is an anti-inflammatory constitutive plasma protein associated with the innate immune system. Recently, as a biomarker, the circulating level of PTX-2 is shown to be decreased in chronic fibrotic diseases. In this study, we aimed to investigate the relationship between renal fibrosis severity and serum PTX-2 levels in patients undergoing renal biopsy. METHODS:This cross-sectional study included 45 patients and 16 healthy individuals (HIs). The severity of renal fibrosis was evaluated according to the Banff and Sethi scoring systems by the same pathologist. PTX-2 was measured by an enzyme-linked immunosorbent assay and compared with the demographical, clinical, biochemical, and histopathological data of the patients and HIs. RESULTS:PTX-2 levels were lower in the biopsy group than in the HI group (p=0.12). Patients with moderate renal fibrosis had significantly lower serum PTX-2 levels than those in patients with minimal and mild fibrosis (p=0.017 and p=0.010, respectively). PTX-2 concentrations were correlated with serum albumin (r=0.30, p=0.016), and were negatively correlated with serum creatinine levels (rho=-0.42, p=0.01) and body mass index (r=-0.32, p=0.011). CONCLUSIONS:The results indicated that PTX-2 levels are significantly lower in patients with renal fibrosis than HIs, and declining further in patients with severe fibrosis." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs10" "titulo" => "OBJECTIVES:" ] 1 => array:2 [ "identificador" => "ceabs20" "titulo" => "METHODS:" ] 2 => array:2 [ "identificador" => "ceabs30" "titulo" => "RESULTS:" ] 3 => array:2 [ "identificador" => "ceabs40" "titulo" => "CONCLUSIONS:" ] ] ] ] "NotaPie" => array:1 [ 0 => array:1 [ "nota" => "No potential conflict of interest was reported." ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1242 "Ancho" => 1544 "Tamanyo" => 64639 ] ] "descripcion" => array:1 [ "en" => "Decrease in serum PTX-2 levels relative to the severity of renal fibrosis." ] ] 1 => array:7 [ "identificador" => "tbl1" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "Abbreviations: BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; WBC, white blood cells; CRP, C-reactive protein; PTX-2, pentraxin-2; NA, not applicable." "tablatextoimagen" => array:1 [ 0 => array:1 [ "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Biopsy Group \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">HIs Group \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Number (n) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">NA \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age, median (min-max) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45.6 (18-79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29.5 (18-63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sex, female (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI, kg/m2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25.4±4.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21±2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBP, mmHg, me \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">127.8±16.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">119.3±8.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.131 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DBP, mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">78.2±7.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">65.6±5.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Proteinuria, g/day \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.42±3.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">NA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">NA \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">eGFR, mL/min/m2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60.7±35.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">118.18±12.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Serum Urea, mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58.7±41.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.4±5.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Serum Creatinine, mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.99±1.73 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.70±0.13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Serum Albumin, g/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.63±0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.68±0.38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WBC, /mm3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8574.0±3193.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6890.6±2207.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CRP, mg/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.6±17.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.5±1.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PTX-2, ng/mL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.7±19.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43.2±13.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.012 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Demographic, clinical, and laboratory data of the Study Group (unless otherwise mentioned, all variables are mean (SD): mean±standard deviation)." ] ] 2 => array:7 [ "identificador" => "tbl2" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "Abbreviations: GS, Global and segmental glomerulosclerosis; TA, tubular atrophy; IF, interstitial fibrosis; CV, arteriosclerosis/arteriolosclerosis." "tablatextoimagen" => array:1 [ 0 => array:1 [ "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Scoring System \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Quantitation \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">n \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">% \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IF (Banff) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TA (Banff) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">GS (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IF (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TA (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CV (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Pathological evaluation of the biopsy specimens according to Banff and Sethi scoring." ] ] 3 => array:7 [ "identificador" => "tbl3" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "Abbreviations: BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; WBC, white blood cells; CRP, C-reactive protein; PTX-2, pentraxin-2." "tablatextoimagen" => array:1 [ 0 => array:1 [ "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PTX-2</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">R \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.130 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.319 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.325 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.011 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.065 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.632 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.276 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.038 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">eGFR \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.231 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.127 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Proteinuria \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.247 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.102 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Stage of kidney failure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.259 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.085 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Biopsy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IF (Banff) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.352 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.018 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TA (Banff) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.350 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.018 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">GS (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.398 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.007 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IF (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.350 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.018 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TA (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.341 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.022 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CV (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.131 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.392 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Total Score (Sethi) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.399 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.007 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Urea \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.210 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.104 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Creatinine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.426 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Albumin \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.307 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.016 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WBC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.077 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.557 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CRP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.157 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.226 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Univariate correlations between PTX-2 levels and clinical characteristics, pathological findings, and investigated biomarkers." ] ] ] "bibliografia" => array:2 [ "titulo" => "REFERENCES" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec10" "bibliografiaReferencia" => array:16 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The contribution of chronic kidney disease to the global burden of major noncommunicable 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ORIGINAL ARTICLE

Taner BasturkI,II, David OjalvoIII, Emrah Erkan MaziII, Nuri Baris HasbalIV, Ayse Aysim OzagariV, Elbis AhbapII,

Corresponding author

elbis998@hotmail.com

Corresponding author.

, Tamer SakaciII, Yener KocVI, Mustafa SevincII, Abdulkadir UnsalI,II

I University of Health Sciences, Sisli Hamidiye Etfal Teaching and Research Hospital, Istanbul, Turkey

II Vardcentralen Wisby Soder, General Medicine, Gotland, Sweden

III Sisli Hamidiye Etfal Teaching and Research Hospital, Department of Nephrology, Istanbul, Turkey

IV Hakkari State Hospital, Department of Nephrology, Hakkari, Turkey

V Sisli Hamidiye Etfal Teaching and Research Hospital, Department of Pathology, Istanbul, Turkey

VI Cumhuriyet University, Faculty of Medicine, Department of Internal Medicine, Division of Nephrology, Sivas, Turkey

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and glomerulosclerosis in the glomeruli&#46; The degree of tubulointerstitial fibrosis and tubular atrophy in histopathology is well correlated with renal outcomes &#40;<a class="elsevierStyleCrossRef" href="#bib2">2</a>&#41;&#46;</p><p id="para20" class="elsevierStylePara elsevierViewall">Pentraxin-2 &#40;PTX-2&#41;&#44; also named as serum amyloid P component&#44; is a constitutive&#44; anti-inflammatory plasma protein associated with the innate immune system&#46; Recently&#44; the circulating level of this protein was shown to be decreased in chronic fibrotic diseases &#40;<a class="elsevierStyleCrossRef" href="#bib3">3</a>&#41;&#46; PTX-2 has a unique binding profile&#44; suggesting that it may accumulate at injury sites and helps removing damaged tissue in a non-phlogistic manner&#46; In some fibrotic diseases such as nonalcoholic steatohepatitis&#44; end-stage renal disease&#44; and idiopathic pulmonary fibrosis&#44; continuous generation and utilization of PTX-2 may result in decreasing serum PTX-2 levels &#40;<a class="elsevierStyleCrossRefs" href="#bib4">4&#8211;6</a>&#41;&#46; In this study&#44; we aimed to determine the relationship between PTX-2 levels and the presence or severity of renal fibrosis in patients undergoing percutaneous renal biopsy&#46;</p></span><span id="cesec20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle70">MATERIAL AND METHODS</span><span id="cesec30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle80">The study group</span><p id="para30" class="elsevierStylePara elsevierViewall">This cross-sectional study was performed at the Sisli Hamidiye Etfal Teaching and Research Hospital between April 2016 and April 2017 in Istanbul&#44; Turkey&#46; The study included 45 patients who were older than 18 years and had an indication for renal biopsy &#40;Biopsy Group&#59; BG&#41; along with 16 healthy individuals &#40;HIs&#59; for serum parameters only&#41;&#46; Informed consent was obtained from all subjects and the study protocol was approved by the Hospital&#39;s Ethical Committee&#46;</p><p id="para40" class="elsevierStylePara elsevierViewall">The indications assessed by a nephrologist for renal biopsy included acute kidney injury&#44; non-nephrotic proteinuria&#44; proteinuria with coexisting hematuria&#44; isolated hematuria&#44; nephrotic syndrome&#44; and progressive CKD &#40;eGFR&#8804;60 mg&#47;min per 1&#46;73 m<span class="elsevierStyleSup">2</span>&#41;&#46; Proteinuria at more than 3&#46;5 g&#47;day and serum albumin below 3&#46;0 g&#47;L were defined as nephrotic syndrome&#46; Non-nephrotic proteinuria was defined as proteinuria lower than 3&#46;5 g&#47;day or proteinuria with concomitant hematuria&#46; Biopsy indications for patients with type 2 diabetes including unexplained rapid worsening of renal function&#44; microscopic hematuria&#44; and proteinuria without diabetic retinopathy&#46; Patients who were clinically suspected for non-diabetic renal disease were selected&#44; examined&#44; and a biopsy was performed if a patient fulfilled the above-mentioned criteria&#46;</p><p id="para50" class="elsevierStylePara elsevierViewall">Patients who had a small hyperechoic kidney &#40;&#60;9 cm&#41;&#44; solitary kidney&#44; multiple and bilateral cysts or renal tumors&#44; anatomical kidney anomalies&#44; active renal&#44; perirenal&#44; or biopsy site infection&#44; malignancy&#44; severe resistant hypertension&#44; or uncontrollable bleeding disorder were excluded&#46; Medications altering the coagulation cascade were withheld until an appropriate time before the procedure&#46; Patients in the biopsy group were evaluated using ultrasonography by an experienced radiologist for kidney biopsy eligibility&#46; The biopsies were performed by an experienced nephrologist or interventional radiologist&#46; After the biopsy&#44; all patients were kept under observation in the hospital for a day in case of complications&#46;</p></span><span id="cesec40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle90">Laboratory tests</span><p id="para60" class="elsevierStylePara elsevierViewall">On the day of the kidney biopsy&#44; fasting serum samples for biochemical evaluation were obtained at 08&#58;00 a&#46;m&#46; in all cases&#46; Values of laboratory parameters including complete blood cell counts and serum levels of creatinine&#44; albumin&#44; C-reactive protein &#40;CRP&#41;&#44; C3&#44; and C4 were measured using standard enzymatic procedures&#46; Proteinuria was quantified based on 24-h urinary protein excretion measurements&#46; The Chronic Kidney Disease Epidemiology Collaboration &#40;CKD-EPI&#41; equation was used to determine the estimated glomerular filtration rate &#40;eGFR&#41;&#46; The severity of kidney failure was estimated according to the Kidney Disease Improving Global Outcomes &#40;KDIGO&#41; guidelines&#46; The body mass index &#40;BMI&#41; was defined as the weight in kilograms&#47;&#40;height in meter&#41;<span class="elsevierStyleSup">2</span>&#46; Proteinuria was excluded in the control group by examining a random morning urine sample&#46;</p><p id="para70" class="elsevierStylePara elsevierViewall">Blood samples for PTX-2 quantification were obtained on the same day when the patients underwent percutaneous renal biopsy&#46; The sera were kept at -80&#176;C until use&#46; The levels of PTX-2 were determined by enzyme-linked immunosorbent assay &#40;ELISA&#41; &#40;Invitrogen&#44; Grand Island&#44; New York&#44; USA&#41; as per the manufacturer&#39;s recommendations&#46;</p></span><span id="cesec50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle100">Pathological evaluation</span><p id="para80" class="elsevierStylePara elsevierViewall">The biopsy specimens of the patients were examined by a single experienced pathologist using light and immunofluorescence microscopy&#46; Routine staining analyses&#44; including hematoxylin and eosin&#44; periodic Schiff-methenamine&#44; periodic acid-Schiff reagent&#44; and Masson trichrome staining&#44; were performed&#46; Congo red and methyl violet staining analyses were also performed for samples from some patients&#46; Immunofluorescence staining was performed for IgA&#44; IgG&#44; IgM&#44; C3&#44; C4&#44; C1q&#44; and kappa&#47;lambda light chains&#46;</p><p id="para90" class="elsevierStylePara elsevierViewall">Interstitial fibrosis and tubular atrophy were scored according to the Banff 97 criteria&#44; with scores from 0 to 3 based on the percentage of cortical parenchyma involved &#40;<a class="elsevierStyleCrossRef" href="#bib7">7</a>&#41;&#46; A total renal chronicity score&#44; recently proposed by Sethi et al&#46;&#44; was also calculated&#46; Arteriosclerosis&#47;arteriolosclerosis &#40;CV&#41;&#44; global and segmental glomerulosclerosis &#40;GS&#41;&#44; interstitial fibrosis &#40;IF&#41;&#44; and tubular atrophy &#40;TA&#41; were evaluated&#46; The CV was scored from 0 to 1&#44; GS&#44; from 0 to 3&#44; IF&#44; from 0 to 3&#44; and TA&#44; from 0 to 3&#46; The total renal chronicity score was obtained by summing all the scores to stage the overall severity of the chronic lesions as minimal &#40;0-1 total score&#41;&#44; mild &#40;2-4 total score&#41;&#44; moderate &#40;5-7 total score&#41;&#44; and severe &#40;&#8805;8 total scores&#41; &#40;<a class="elsevierStyleCrossRef" href="#bib2">2</a>&#41;&#46;</p></span><span id="cesec60" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle110">Statistical analysis</span><p id="para100" class="elsevierStylePara elsevierViewall">SPSS 21&#46;0 for Windows was used for statistical analysis&#46; Descriptive statistics were presented as number and percentage for categorical changes&#58; as average&#44; standard deviation&#44; minimum&#44; maximum&#44; and median for numerical variations&#46; When the numerical variations maintained the normal distribution conditions&#44; the two independent groups were compared using the Student&#39;s t-test&#44; and when the numerical variations did not maintain the normal distribution conditions&#44; three or more groups were compared using the Kruskal-Wallis test&#46; The study group analysis was performed with Mann Whitey U test and interpreted with Bonferroni correction&#46; The ratios in the groups were compared using Chi-Square analysis&#46; As the relations between numerical variations did not meet the parametrical test condition&#44; Spearman Correlation analysis was used&#46; <span class="elsevierStyleItalic">p</span>&#60;0&#46;05 was considered statistically significant&#46;</p></span></span><span id="cesec70" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle120">RESULTS</span><p id="para110" class="elsevierStylePara elsevierViewall">This study included 45 patients in the Biopsy Group &#40;BG&#41; and 16 HIs&#46; Their demographic&#44; clinical&#44; and laboratory data are shown in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>&#46; The BG had older age&#44; higher BMI&#44; and higher diastolic pressure &#40;<a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>&#41;&#46; As expected&#44; lower eGFR and serum albumin levels&#44; and higher serum urea&#44; serum creatinine&#44; and serum C-reactive protein levels were detected in the BG group than in the HIs group&#46; The serum PTX-2 levels were significantly lower in the BG group &#40;<span class="elsevierStyleItalic">p</span>&#61;0&#46;012&#41;&#46;</p><elsevierMultimedia ident="tbl1"></elsevierMultimedia><p id="para120" class="elsevierStylePara elsevierViewall">The stage of kidney failure was determined for each subject&#46; The numbers of patients with stages 1-5 of kidney failure were&#58; 9 &#40;20&#37;&#41;&#44; 16 &#40;35&#46;6&#37;&#41;&#44; 8 &#40;17&#46;8&#37;&#41;&#44; 6 &#40;13&#46;3&#37;&#41;&#44; and 6 &#40;13&#46;3&#37;&#41;&#44; respectively&#46; There was no correlation between the stage of kidney failure and PTX-2 level&#46; The pathological diagnosis of the patients was as follows&#58; focal segmental glomerulosclerosis &#40;FSGS&#41; &#40;n&#61;18&#41;&#44; IgA nephropathy &#40;n&#61;9&#41;&#44; membranous glomerulonephritis &#40;MGN&#41; &#40;n&#61;6&#41;&#44; amyloidosis &#40;n&#61;3&#41;&#44; tubulointerstitial nephritis &#40;n&#61;3&#41;&#44; lupus nephritis &#40;n&#61;2&#41;&#44; myeloma cast nephropathy &#40;n&#61;1&#41;&#44; cholesterol crystal embolism &#40;n&#61;1&#41;&#44; membranoproliferative glomerulonephritis &#40;n&#61;1&#41;&#44; and diabetic glomerulosclerosis &#40;n&#61;1&#41;&#46;</p><p id="para130" class="elsevierStylePara elsevierViewall">The pathological evaluation of biopsy specimens is summarized in <a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>&#46; The severity of fibrosis was reported as minimal &#40;n&#61;14&#59; 31&#46;1&#37;&#41;&#44; mild &#40;n&#61;17&#59; 37&#46;8&#37;&#41;&#44; moderate &#40;n&#61;11&#59; 24&#46;4&#37;&#41;&#44; and severe &#40;n&#61;3&#59; 6&#46;7&#37;&#41;&#46; The mean serum PTX-2 levels of the patients with minimal&#44; mild&#44; moderate&#44; and severe renal fibrosis were 38&#46;0&#177;18&#46;1 ng&#47;mL&#44; 32&#46;8&#177;17&#46;1 ng&#47;mL&#44; 16&#46;3&#177;16&#46;6 ng&#47;mL&#44; and 7&#46;9&#177;5&#46;3 ng&#47;mL&#44; respectively&#46; In the subgroup analysis&#44; patients with moderate renal fibrosis had significantly lower serum PTX-2 levels than those with minimal and mild fibrosis &#40;<span class="elsevierStyleItalic">p</span>&#61;0&#46;017 and <span class="elsevierStyleItalic">p</span>&#61;0&#46;010&#44; respectively&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#41;&#46; There was no difference between the PTX-2 levels in patients with minimal and mild fibrosis&#46; As the number of patients with severe fibrosis &#40;n&#61;3&#41; was very low&#44; subgroup analysis could not be performed&#46; Univariate correlations between the PTX-2 levels and pathological findings are shown in <a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>&#46; Although there were small numbers of patients with each pathological diagnosis&#44; no significant differences were found between the median PTX-2 levels and each diagnosis type&#46; Based on the Spearman&#39;s rank correlations &#40;Rho&#41;&#44; PTX-2 concentrations were correlated with serum albumin levels &#40;r&#61;0&#46;30&#44; <span class="elsevierStyleItalic">p</span>&#61;0&#46;016&#41;&#44; and negatively with serum creatinine &#40;rho&#61;-0&#46;42&#44; <span class="elsevierStyleItalic">p</span>&#61;0&#46;01&#41; and BMI &#40;r&#61;-0&#46;32&#44; <span class="elsevierStyleItalic">p</span>&#61;0&#46;011&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl2"></elsevierMultimedia><elsevierMultimedia ident="fig1"></elsevierMultimedia><elsevierMultimedia ident="tbl3"></elsevierMultimedia></span><span id="cesec80" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle130">DISCUSSION</span><p id="para140" class="elsevierStylePara elsevierViewall">Pentraxins such as pentraxin-2 &#40;known as serum amyloid P&#44; SAP&#41; regulate various features of the innate immune system&#46; PTX-2 increases the migration of immune-regulatory macrophages&#44; suppresses the differentiation of monocyte-derived fibroblast-like cells&#44; and inhibits neutrophil adhesion to extracellular matrix proteins &#40;<a class="elsevierStyleCrossRef" href="#bib3">3</a>&#41;&#46;</p><p id="para150" class="elsevierStylePara elsevierViewall">A prognostic marker for CKD has been explored for years&#46; A large number of serum and urinary molecules such as NGAL&#44; KIM-1&#44; MCP-1&#44; MMP-9&#44; interleukin-18&#44; clusterin&#44; MMP-9&#44; TIMP-1&#44; Procollagen I alpha 1&#44; FGF-23&#44; suPAR&#44; as well as PTX-2 are under investigation to predict CKD progression &#40;<a class="elsevierStyleCrossRef" href="#bib8">8</a>&#44;<a class="elsevierStyleCrossRef" href="#bib9">9</a>&#41;&#46; All these biomarkers have been studied for predicting CKD progression in cohorts of patients with different stages of chronic kidney disease and with various etiologies &#40;proteinuric and non-proteinuric glomerulonephritis&#44; diabetic&#44; hypertensive&#44; and polycystic kidney diseases&#41;&#46; However&#44; the available data are insufficient to draw final conclusions&#46; Thus&#44; further studies with larger cohorts and longer follow-up periods are required&#46;</p><p id="para160" class="elsevierStylePara elsevierViewall">Accumulation of PTX-2 at the site of fibrosis has been shown in animal models &#40;<a class="elsevierStyleCrossRef" href="#bib10">10</a>&#41;&#46; PTX-2 suppresses the differentiation of monocytes into fibrotic and inflammatory macrophages and fibrocytes&#44; while supporting their differentiation into regulatory macrophages &#40;<a class="elsevierStyleCrossRef" href="#bib11">11</a>&#41;&#46; Therefore&#44; epithelial healing and decomposition of scarring and inflammation are promoted&#46; At fibrotic sites&#44; continuous production and consumption of PTX-2 may result in reduced levels of the protein in fibrotic diseases&#44; as seen in idiopathic end-stage renal disease&#44; pulmonary fibrosis&#44; and nonalcoholic steatohepatitis &#40;<a class="elsevierStyleCrossRef" href="#bib5">5</a>&#44;<a class="elsevierStyleCrossRef" href="#bib12">12</a>&#44;<a class="elsevierStyleCrossRef" href="#bib13">13</a>&#41;&#46;</p><p id="para170" class="elsevierStylePara elsevierViewall">Casta&#227;o et al&#46; performed a study about the anti-fibrotic effects of PTX-2 and the potential mechanisms underlying its action&#46; Human SAP &#40;hSAP&#41; was found to be a natural inhibitor of fibrosis during kidney injury via the downregulation of fibrotic collagen gene transcription&#46; On the contrary&#44; fibrocytes were infrequently seen in injured kidneys following treatment with hSAP&#44; proving that fibrocytes do not play a major role in fibrosis&#46; A correlation between loss of kidney function and lower hSAP concentrations has also been reported in mice &#40;<a class="elsevierStyleCrossRef" href="#bib5">5</a>&#41;&#46;</p><p id="para180" class="elsevierStylePara elsevierViewall">Another study focused on recombinant PTX-2 treatment in mice deficient in the kidney microvascular basement membrane protein collagen type IV &#40;&#945;&#41;3 &#40;<span class="elsevierStyleItalic">Col4a3<span class="elsevierStyleSup">-1</span></span><span class="elsevierStyleSup">-</span>mice&#41; &#40;<a class="elsevierStyleCrossRef" href="#bib6">6</a>&#41;&#46; This protein plays a key role in human Alport Syndrome &#40;<a class="elsevierStyleCrossRef" href="#bib14">14</a>&#41;&#46; The mutant mice that received intraperitoneal recombinant human PTX-2 &#40;rhPTX-2&#41; injections for 9 weeks showed an improvement in their lifespan by &#62;20&#37;&#46; rhPTX-2-treated mice showed reduced glomerulosclerosis&#44; preserved podocyte numbers in glomeruli&#44; approximately 40&#37; less tubule injury&#44; and attenuated interstitial fibrosis&#46; Nakagawa et al&#46; also reported decreased numbers of macrophages in the diseased kidneys&#44; enhancement of IL-10 production&#44; and downregulation of secreted proteins associated with fibrosis following rhPTX-2 administration&#46; The transcriptional regulator c-Jun and its activator protein-1 binding partners were identified in this study as the main target for rhPTX-2 function &#40;<a class="elsevierStyleCrossRef" href="#bib6">6</a>&#41;&#46;</p><p id="para190" class="elsevierStylePara elsevierViewall">All the subjects enrolled in our study were indicated for renal biopsy&#44; and fibrosis was found ranging from the minimal to severe grade in all the specimens&#46; Thus&#44; in agreement with animal studies&#44; PTX-2 levels were lower in patients with renal fibrosis than in HIs&#46; We also found significantly lower PTX-2 levels in patients with moderate renal fibrosis than in those with minimal and mild fibrosis&#46; As the number of patients with severe renal fibrosis was small&#44; we could not perform a subgroup analysis&#59; however&#44; it is noteworthy that this group had the lowest PTX-2 level&#46;</p><p id="para200" class="elsevierStylePara elsevierViewall">We also found that the level of PTX-2 was negatively correlated with the BMI&#46; Although the sample size was small&#44; there were no associations between BMI and the pathological diagnosis of patients&#46; However&#44; it is expected that patients with FSGS may have higher BMI&#46; Obesity-associated FSGS is a well-known phenomenon&#44; and is also called obesity-related glomerulopathy&#46; The pathological components of this disease include glomerulomegaly&#44; FSGS &#40;particularly the perihilar variant&#41;&#44; reduced glomerular and podocyte density&#44; and diabetoid changes &#40;<a class="elsevierStyleCrossRef" href="#bib15">15</a>&#41;&#46; Isolated proteinuria characterized as stable or slowly progressive is the cornerstone clinical manifestation of this disease&#46; Further&#44; there is a correlation between proteinuria and the number of glomeruli showing FSGS&#46; Therefore&#44; higher BMI-induced glomerulomegaly&#44; podocyte injury&#44; FSGS&#44; and fibrosis may explain the negative association between the PTX-2 levels and BMI&#46;</p><p id="para210" class="elsevierStylePara elsevierViewall">Based on the potential role of PTX-2 in wound healing and fibrosis&#44; an increasing number of studies are testing PTX-2 as a therapeutic agent&#46; For instance&#44; Blink et al&#46; performed a study of 21 patients with idiopathic pulmonary fibrosis &#40;IPF&#41; and did not report any benefit of PTX-2 &#40;PRM-151&#41; administration &#40;<a class="elsevierStyleCrossRef" href="#bib16">16</a>&#41;&#46; Raghu et al&#46; designed a similar multicenter study with 117 patients and reported a slower decline in lung function over 28 weeks&#44; as infusions of human PTX-2 were administered to patients with IPF &#40;<a class="elsevierStyleCrossRef" href="#bib12">12</a>&#41;&#46; We believe that PTX-2&#44; as a potential treatment strategy for patients with renal fibrosis&#44; will be the focus of human trials in the near future&#46;</p><p id="para220" class="elsevierStylePara elsevierViewall">This study has a few limitations&#59; it was a single center study with a small cohort size and a limited number of unmatched healthy controls&#46; As the number of patients with severe renal fibrosis was small&#44; we could not perform a subgroup analysis&#46; Further&#44; because there were only a few patients for each pathological diagnosis&#44; we could not evaluate the difference between the serum PTX-2 levels in various specific diseases&#46;</p><p id="para230" class="elsevierStylePara elsevierViewall">In conclusion&#44; we report the first study in human subjects investigating the level of PTX-2 in patients who underwent renal biopsy&#46; This study demonstrated that PTX-2 levels are lower in patients with renal fibrosis than HIs and declining further in patients with more severe fibrosis&#46; Therefore&#44; PTX-2 may be a biomarker of fibrosis&#44; and could be used as a prognostic indicator to guide treatment&#46; However&#44; extensive additional studies are required to firmly establish the relationship between serum PTX-2 levels and renal fibrosis&#46;</p></span><span id="cesec90" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle140">CONFLICTS OF INTEREST</span><p id="para240" class="elsevierStylePara elsevierViewall">The article was presented as an oral presentation at the 36<span class="elsevierStyleSup">th</span> National Congress of Nephrology&#44; Antalya&#44; Turkey on 19<span class="elsevierStyleSup">th</span> October 2019&#46;</p></span><span id="cesec100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle150">AUTHOR CONTRIBUTIONS</span><p id="para250" class="elsevierStylePara elsevierViewall">Basturk T and Ahbap E contributed in research idea and study design&#46; Ojalvo D&#44; Mazi EE&#44; Ozagari AA and Hasbal NB contributed with data acquisition&#44; analysis and interpretation&#46; Ojalvo D and Ahbap E were responsible for statistical analysis&#46; Basturk T&#44; Ahbap E&#44; Sakaci T&#44; Koc Y&#44; Sevinc M&#44; Unsal A contributed to supervision or mentorship&#46;</p></span></span>"
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          "titulo" => "MATERIAL AND METHODS"
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    "fechaRecibido" => "2020-06-08"
    "fechaAceptado" => "2020-06-30"
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          "palabras" => array:3 [
            0 => "Pentraxin"
            1 => "Renal Fibrosis"
            2 => "Chronic Kidney Disease"
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        "resumen" => "<span id="ceabs10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle10">OBJECTIVES&#58;</span><p id="spara50" class="elsevierStyleSimplePara elsevierViewall">Progressive renal disease is characterized by histological changes in the kidney and fibrosis is a common outcome&#46; Renal biopsy is the only diagnostic tool to evaluate these histopathological changes&#46; Pentraxin-2 &#40;PTX-2&#41; is an anti-inflammatory constitutive plasma protein associated with the innate immune system&#46; Recently&#44; as a biomarker&#44; the circulating level of PTX-2 is shown to be decreased in chronic fibrotic diseases&#46; In this study&#44; we aimed to investigate the relationship between renal fibrosis severity and serum PTX-2 levels in patients undergoing renal biopsy&#46;</p></span> <span id="ceabs20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle20">METHODS&#58;</span><p id="spara60" class="elsevierStyleSimplePara elsevierViewall">This cross-sectional study included 45 patients and 16 healthy individuals &#40;HIs&#41;&#46; The severity of renal fibrosis was evaluated according to the Banff and Sethi scoring systems by the same pathologist&#46; PTX-2 was measured by an enzyme-linked immunosorbent assay and compared with the demographical&#44; clinical&#44; biochemical&#44; and histopathological data of the patients and HIs&#46;</p></span> <span id="ceabs30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle30">RESULTS&#58;</span><p id="spara70" class="elsevierStyleSimplePara elsevierViewall">PTX-2 levels were lower in the biopsy group than in the HI group &#40;<span class="elsevierStyleItalic">p</span>&#61;0&#46;12&#41;&#46; Patients with moderate renal fibrosis had significantly lower serum PTX-2 levels than those in patients with minimal and mild fibrosis &#40;<span class="elsevierStyleItalic">p</span>&#61;0&#46;017 and <span class="elsevierStyleItalic">p</span>&#61;0&#46;010&#44; respectively&#41;&#46; PTX-2 concentrations were correlated with serum albumin &#40;r&#61;0&#46;30&#44; <span class="elsevierStyleItalic">p</span>&#61;0&#46;016&#41;&#44; and were negatively correlated with serum creatinine levels &#40;rho&#61;-0&#46;42&#44; <span class="elsevierStyleItalic">p</span>&#61;0&#46;01&#41; and body mass index &#40;r&#61;-0&#46;32&#44; <span class="elsevierStyleItalic">p</span>&#61;0&#46;011&#41;&#46;</p></span> <span id="ceabs40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle40">CONCLUSIONS&#58;</span><p id="spara80" class="elsevierStyleSimplePara elsevierViewall">The results indicated that PTX-2 levels are significantly lower in patients with renal fibrosis than HIs&#44; and declining further in patients with severe fibrosis&#46;</p></span>"
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          "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Decrease in serum PTX-2 levels relative to the severity of renal fibrosis&#46;</p>"
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          "leyenda" => "<p id="TFN01t01" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; BMI&#44; body mass index&#59; SBP&#44; systolic blood pressure&#59; DBP&#44; diastolic blood pressure&#59; eGFR&#44; estimated glomerular filtration rate&#59; WBC&#44; white blood cells&#59; CRP&#44; C-reactive protein&#59; PTX-2&#44; pentraxin-2&#59; NA&#44; not applicable&#46;</p>"
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                  \t\t\t\t" scope="col">HIs Group&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Number &#40;n&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age&#44; median &#40;min-max&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45&#46;6 &#40;18-79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#46;5 &#40;18-63&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sex&#44; female &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">68&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BMI&#44; kg&#47;m<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;4&#177;4&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#177;2&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">SBP&#44; mmHg&#44; me&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">127&#46;8&#177;16&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">119&#46;3&#177;8&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;131&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">DBP&#44; mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;2&#177;7&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">65&#46;6&#177;5&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Proteinuria&#44; g&#47;day&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;42&#177;3&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">eGFR&#44; mL&#47;min&#47;m<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#46;7&#177;35&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">118&#46;18&#177;12&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Serum Urea&#44; mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#46;7&#177;41&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#46;4&#177;5&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Serum Creatinine&#44; mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;99&#177;1&#46;73&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;70&#177;0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Serum Albumin&#44; g&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;63&#177;0&#46;74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;68&#177;0&#46;38&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WBC&#44; &#47;mm<span class="elsevierStyleSup">3</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8574&#46;0&#177;3193&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6890&#46;6&#177;2207&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CRP&#44; mg&#47;L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;6&#177;17&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;5&#177;1&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PTX-2&#44; ng&#47;mL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;7&#177;19&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43&#46;2&#177;13&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">Demographic&#44; clinical&#44; and laboratory data of the Study Group &#40;unless otherwise mentioned&#44; all variables are mean &#40;SD&#41;&#58; mean&#177;standard deviation&#41;&#46;</p>"
        ]
      ]
      2 => array:7 [
        "identificador" => "tbl2"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="TFN01t02" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; GS&#44; Global and segmental glomerulosclerosis&#59; TA&#44; tubular atrophy&#59; IF&#44; interstitial fibrosis&#59; CV&#44; arteriosclerosis&#47;arteriolosclerosis&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Scoring System&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Quantitation&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t" scope="col">n&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t" scope="col">&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">IF &#40;Banff&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">37&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">CV &#40;Sethi&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">37&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara30" class="elsevierStyleSimplePara elsevierViewall">Pathological evaluation of the biopsy specimens according to Banff and Sethi scoring&#46;</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl3"
        "etiqueta" => "Table 3"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="TFN01t03" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; BMI&#44; body mass index&#59; SBP&#44; systolic blood pressure&#59; DBP&#44; diastolic blood pressure&#59; eGFR&#44; estimated glomerular filtration rate&#59; WBC&#44; white blood cells&#59; CRP&#44; C-reactive protein&#59; PTX-2&#44; pentraxin-2&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t">Stage of kidney failure&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Biopsy&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>IF &#40;Banff&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>TA &#40;Sethi&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">-0&#46;341&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CV &#40;Sethi&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Total Score &#40;Sethi&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Urea&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">-0&#46;210&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;104&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Creatinine&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Albumin&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">0&#46;307&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">0&#46;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WBC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="\n
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                  \t\t\t\t">-0&#46;077&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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Article information

ISSN: 18075932
Original language: English

DOI:10.6061/clinics/2020/e1809

The statistics are updated each day

Year/Month	Html	Pdf	Total

2024 November	4	3	7
2024 October	43	21	64
2024 September	19	11	30
2024 August	45	28	73
2024 July	28	20	48
2024 June	22	18	40
2024 May	29	17	46
2024 April	26	15	41
2024 March	28	10	38
2024 February	31	18	49
2024 January	22	16	38
2023 December	15	19	34
2023 November	26	13	39
2023 October	53	30	83
2023 September	14	22	36
2023 August	18	7	25
2023 July	24	22	46
2023 June	15	24	39
2023 May	10	1	11
2023 April	22	1	23
2023 March	8	2	10
2023 February	6	2	8
2023 January	9	1	10
2022 December	49	6	55
2022 November	5	0	5

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