Brief report
Application of a Prediction Model for the Progression of Rheumatoid Arthritis in Patients With Undifferentiated Arthritis
Aplicación de un modelo de predicción de progresión de artritis reumatoide en pacientes con artritis indiferenciada
Ana Arana-Guajardo, Lorena Pérez-Barbosa
, David Vega-Morales, Janett Riega-Torres, Jorge Esquivel-Valerio, Mario Garza-Elizondo
Corresponding author
Servicio de Reumatología, Departamento de Medicina Interna, Hospital Universitario “Dr. José Eleuterio González”, Monterrey, Nuevo León, Mexico
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=> array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 2 => array:2 [ "nombre" => "David" "apellidos" => "Vega-Morales" ] 3 => array:2 [ "nombre" => "Janett" "apellidos" => "Riega-Torres" ] 4 => array:2 [ "nombre" => "Jorge" "apellidos" => "Esquivel-Valerio" ] 5 => array:2 [ "nombre" => "Mario" "apellidos" => "Garza-Elizondo" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Servicio de Reumatología, Departamento de Medicina Interna, Hospital Universitario “Dr. José Eleuterio González”, Monterrey, Nuevo León, Mexico" "identificador" => "aff0005" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Aplicación de un modelo de predicción de progresión de artritis reumatoide en pacientes con artritis indiferenciada" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 700 "Ancho" => 1009 "Tamanyo" => 61778 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Score of the Leiden prediction model and the risk of progression to rheumatoid arthritis.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by progressive joint deterioration that can generate permanent disability, which affects the patient's quality of life and economy due to absenteeism and the high cost of treatment.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Diagnosis and treatment in its early stages prevent disease progression.<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> Identification of RA patients at increased risk of progression is critical to the rapid onset of treatment and is one of the objectives of the Early Arthritis Clinic (EAC), which usually include patients with undifferentiated arthritis (UA), a type of arthritis defined as not meeting criteria for classifying as a specific inflammatory disease.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> Patients with UA can progress into remission, remain as UA, or progress to a definite inflammatory disease such as RA.<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> Different prediction models have been developed to evaluate patients with UA who are at risk of developing RA<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">5,6</span></a>; Leiden's University developed a prediction model (LPM) to identify these patients with a previously described methodology.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> The LPM includes the following clinical variables: age, gender, distribution of affected joints, severity of morning stiffness, painful and swollen joints, measurement of C-reactive protein (CRP), the presence of rheumatoid factor (RF), and anti-cyclic citrullinated peptide antibodies (anti-CCP). This model establishes an 84% probability of progression to RA in the first year in patients presenting a baseline assessment equal to or greater than 8. The LPM has been applied and validated in several cohorts in the world, with different inclusion criteria.<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8–10</span></a> In Mexico, there are no reports of the application of this model, so the objective of this study was to determine if the LPM is useful in our population to predict progression to UA and RA.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Materials and Methods</span><p id="par0010" class="elsevierStylePara elsevierViewall">Patients belonging to a EAC established in a university tertiary hospital, serving patients in northeastern Mexico were selected. The EAC includes individuals over 18 years, from an epidemiological study of the state of Nuevo Leon, performed using the Community Oriented Program for the Control of the Rheumatic Diseases, COPCORD) methodology, which has been previously described,<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> and by patients who are referred from other hospitals. Patients being admitted to the EAC, are classified into one of the following 3 groups: those with RA of less than 1 year since onset of symptoms, those with UA defined by the presence of 1 or more swollen joints for more than a week and less than 1 year of evolution, and another group of patients at high risk of arthritis (joint pain patients without the presence of arthritis). Patients who meet well-defined criteria for classification of other inflammatory diseases at admission are excluded. Two certified rheumatologists assess patients in the EAC at each visit, in which physical examination is performed with evaluation of swollen and tender joints.</p><p id="par0015" class="elsevierStylePara elsevierViewall">In this study, between 2008 and 2011, we included only patients with UA who were administered the LPM upon admission to the clinic. All patients underwent, on the baseline visit, RF determined by nephelometry (Behring Nephelometer laser no. 441197/71160) and anti-CCP antibodies by first generation ELISA (EUROINMUN<span class="elsevierStyleSup">®</span>), and at each assessment we determined the erythrocyte sedimentation rate and CRP.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Later, at 1 year, patients were reclassified on the basis of progression or not to RA according to 1987 classification criteria of the American College of Rheumatology.<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">Statistical analysis: numeric variables were expressed as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation or median and interquartile range (IQR), according to their distribution. Categorical variables were expressed as percentages. A bivariate analysis of the numerical variables comparing them with the Student's <span class="elsevierStyleItalic">t</span> test or the Mann Whitney as a function of its distribution, was performed. For categorical variables, the chi-square test was used. The LPM was analyzed by comparing the medians of the scores obtained with the test of Mann–Whitney <span class="elsevierStyleItalic">U</span>; subsequently, patients were subdivided according to the result (more or less than 8 points) and evaluated by the Kaplan–Meier survival curve after a year to progress to RA. Finally, a plot of distribution was performed in accordance with the LPM score obtained and whether or not the patient progressed to RA.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Results</span><p id="par0030" class="elsevierStylePara elsevierViewall">The study included 47 patients with UA, with a mean age of 51.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.5 years, 46 patients (98%) were women; 42 (89%) patients came from the COPCORD study. At follow-up, 20 patients (43%) had developed RA (RA group) and 27 (57%) did not progress to RA (non-RA group). In the non-RA group, 6 patients (13%) had resolution of arthritis, 12 patients (25%) persisted with UA, 9 patients (19%) met criteria for classification of other rheumatic diseases (6 with osteoarthritis, 1 with fibromyalgia, 1 with Sjögren's syndrome and 1 enteropathic arthritis).</p><p id="par0035" class="elsevierStylePara elsevierViewall">Baseline characteristics of patients and the bivariate analysis are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. When evaluating the score for LPM, in the RA group we found: 10 patients (50%) with a score <6, 7 patients (35%) with a score between 6 and <8, and finally 3 patients (15%) with ≥8 points. In the non-RA group we found: 8 patients (30%) with <6 points, 19 patients (70%) with a score between 6 and <8, and none with 8 or more points (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). The RA group had a mean LPM score of 6 (IQR 1.77), whereas in the non-RA group the score was 6.5 (RIQ 1.22) (<span class="elsevierStyleItalic">P</span>=.940).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0040" class="elsevierStylePara elsevierViewall">The LPM score was assessed using the Kaplan–Meier test and Log rank, and found that patients with a score ≥8 showed a statistically significant difference in their progression to RA (<span class="elsevierStyleItalic">P</span>=.01) (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Discussion</span><p id="par0045" class="elsevierStylePara elsevierViewall">Early detection of UA in patients with high risk of progression to RA has become the current challenge in order to initiate treatment in a timely manner and, therefore, alter the course of the disease and prevent joint destruction, deformity and disability in RA patients.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a></p><p id="par0050" class="elsevierStylePara elsevierViewall">In the baseline characteristics of our population we found significant results in disease duration for progression to RA, noting that most of the patients who progressed to RA had a longer than 6-month evolution, but was also significant in the non RA group; likewise a low prevalence of RF and anti-CCP antibodies in the 2 groups was evaluated, finding differences between groups and progression to RA (<span class="elsevierStyleItalic">P</span>=.97 and <span class="elsevierStyleItalic">P</span>=.29, respectively).</p><p id="par0055" class="elsevierStylePara elsevierViewall">The incidence of UA progression to RA in our clinic was similar to that reported by other studies. Unlike other cohorts in which LPM has been previously validated, where each used different inclusion criteria, patients who progressed to RA in this study obtained a lower score.<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8–10</span></a> In our cohort, all patients who achieved a score of 8 or more progressed to RA, although most patients in this group had a lower than 6 score; therefore, this result did not allow us to identify patients who will progress to RA using the LPM (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). Similar to our study data is reported in a study recently published by Krabben et al., that evaluated 1219 patients with UA and risk of progression to RA in 3 different cohorts (Leiden, Amsterdam and Birmingham) using the LPM and the presence of other variables, such as autoantibodies. At the end of the evaluation, it was observed that only 0%–6% of the patients had anti-CCP antibodies and 0%–1% had high LPM scores, with these 2 variables for prediction of progression to RA resulting insufficient.<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a></p><p id="par0060" class="elsevierStylePara elsevierViewall">Predictive models of UA to RA have been applied to reference clinics, but its use at the community level has not been reported. The COPCORD methodology allows the identification of patients with painful musculoskeletal conditions in the general population, even before reference to a physician.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> Most of our patients came from COPCORD and 40% of patients who progressed to RA were enrolled in the study with less than 3 months duration, which could somehow increase the likelihood of negative outcomes in the RF and anti-PCC and, therefore, on the score of LPM.</p><p id="par0065" class="elsevierStylePara elsevierViewall">There are limitations to the study that should be considered when interpreting the results; the first is that the sample size was small, although all patients with UA in the EAC were included; this however, allowed us to determine the poor performance of LPM in our population; the second limitation is that the determination of anti-CCP antibodies was performed using first generation ELISA, with a sensitivity that is lower than the second generation,<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> which could influence the low score of the LPM. The difference between tender and swollen joints in the RA group can be explained by the origin of the patients and also due to the presence of other concomitant diseases such as fibromyalgia, which can increase the perception of pain when not adjusted.</p><p id="par0070" class="elsevierStylePara elsevierViewall">In conclusion, 43% of patients with UA progressed to RA after 1 year of follow up. 56% of patients who progressed to RA had a score that was ≤6 in the LPM, in contrast to what has been reported in the cohort of Leiden, where it was less than 10%; these results did not allow us to establish a prediction of progression to RA using the LPM.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Ethical Responsibilities</span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Protection of people and animals</span><p id="par0075" class="elsevierStylePara elsevierViewall">The authors declare that this study did not perform experiments on humans or animals.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Data confidentiality</span><p id="par0080" class="elsevierStylePara elsevierViewall">The authors declare that they have followed the protocols of their workplace regarding the publication of data from patients, and all patients included in the study have received sufficient information and gave written informed consent to participate in the study.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Right to privacy and informed consent</span><p id="par0085" class="elsevierStylePara elsevierViewall">The authors have obtained informed consent from patients and/or subjects referred to in the article. This document is in the possession of the corresponding author.</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Conflict of Interest</span><p id="par0090" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:2 [ "identificador" => "xres376319" "titulo" => array:6 [ 0 => "Abstract" 1 => "Introduction" 2 => "Objective" 3 => "Methods" 4 => "Results" 5 => "Conclusion" ] ] 1 => array:2 [ "identificador" => "xpalclavsec355379" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xres376320" "titulo" => array:6 [ 0 => "Resumen" 1 => "Introducción" 2 => "Objetivo" 3 => "Métodos" 4 => "Resultados" 5 => "Conclusión" ] ] 3 => array:2 [ "identificador" => "xpalclavsec355380" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Materials and Methods" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 8 => array:3 [ "identificador" => "sec0025" "titulo" => "Ethical Responsibilities" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0030" "titulo" => "Protection of people and animals" ] 1 => array:2 [ "identificador" => "sec0035" "titulo" => "Data confidentiality" ] 2 => array:2 [ "identificador" => "sec0040" "titulo" => "Right to privacy and informed consent" ] ] ] 9 => array:2 [ "identificador" => "sec0045" "titulo" => "Conflict of Interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2013-09-19" "fechaAceptado" => "2014-01-24" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec355379" "palabras" => array:5 [ 0 => "Rheumatoid arthritis" 1 => "Undifferentiated arthritis" 2 => "Polyarthritis" 3 => "Community Oriented Program for the Control of the Rheumatic Diseases" 4 => "Diagnosis" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec355380" "palabras" => array:5 [ 0 => "Artritis reumatoide" 1 => "Artritis indiferenciada" 2 => "Poliartritis" 3 => "Programa Comunitario Orientado al Control de Enfermedades Reumáticas" 4 => "Diagnóstico" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Different prediction rules have been applied to patients with undifferentiated arthritis (UA) to identify those that progress to rheumatoid arthritis (RA). The Leiden Prediction Rule (LPR) has proven useful in different UA cohorts.</p> <span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">To apply the LPR to a cohort of patients with UA of northeastern Mexico.</p> <span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">We included 47 patients with UA, LPR was applied at baseline. They were evaluated and then classified after 1 year of follow-up into 2 groups: those who progressed to RA (according to ACR 1987) and those who did not.</p> <span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">43% of the AI patients developed RA. In the RA group, 56% of patients obtained a score ≤6 and only 15% ≥8. 70% who did not progress to RA had a score between 6 and ≤8. There was no difference in median score of LPR between groups, <span class="elsevierStyleItalic">P</span>=.940.</p> <span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Most patients who progressed to RA scored less than 6 points in the LPR. Unlike what was observed in other cohorts, the model in our population did not allow us to predict the progression of the disease.</p>" ] "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0040">Introducción</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Distintos modelos de predicción han sido aplicados en pacientes con artritis indiferenciada (AI) con el objetivo de identificar a aquellos que progresarán a artritis reumatoide (AR). El modelo de predicción de Leiden (MPL) ha demostrado su utilidad en distintas cohortes de AI.</p> <span class="elsevierStyleSectionTitle" id="sect0045">Objetivo</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Aplicar el MPL a una cohorte de pacientes con AI del noreste de México.</p> <span class="elsevierStyleSectionTitle" id="sect0050">Métodos</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Se incluyó a 47 pacientes con AI; al ingreso se aplicó el MPL, después de un año de seguimiento se clasificaron en 2 grupos: los que progresaron a AR (de acuerdo con los criterios ACR 1987) y los que no progresaron.</p> <span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">El 43% de los pacientes con AI progresó a AR. De los pacientes que progresaron a AR, el 56% obtuvo una puntuación ≤ 6 y solo el 15% ≥ 8 puntos. El 70% de los que no progresaron alcanzaron una puntuación entre 6 y ≤ 8. No existió diferencia en la mediana de la puntuación del MPL entre los grupos, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,940.</p> <span class="elsevierStyleSectionTitle" id="sect0060">Conclusión</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La mayoría de los pacientes que progresó a AR obtuvieron menos de 6 puntos en el MPL. A diferencia de lo observado en otras cohortes, en nuestra población el modelo no permitió predecir la progresión de la enfermedad.</p>" ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Please cite this article as: Arana-Guajardo A, Pérez-Barbosa L, Vega-Morales D, Riega-Torres J, Esquivel-Valerio J, Garza-Elizondo M. Aplicación de un modelo de predicción de progresión de artritis reumatoide en pacientes con artritis indiferenciada. Reumatol Clin. 2014;10:360–363.</p>" ] ] "multimedia" => array:3 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 700 "Ancho" => 1009 "Tamanyo" => 61778 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Score of the Leiden prediction model and the risk of progression to rheumatoid arthritis.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 725 "Ancho" => 1000 "Tamanyo" => 56297 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier curve with the distribution of the score of LPM. Days of evaluation LPM.</p>" ] ] 2 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:3 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Statistical analysis performed using chi squared test.</p><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Anti-CCP: anti-cyclic citrullinated peptide; RA: rheumatoid arthritis; SD: standard deviation; VAS: visual analogue scale; RF: rheumatoid factor; IQR, interquartile range; SJN: swollen joint number; PJN: painful joint number; CRP: C-reactive protein.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td 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" style="border-bottom: 2px solid black">Characteristics \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">RA (n=20) \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">Non RA (n=27) \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> \t\t\t\t\t\t\n \t\t\t\t</td></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"><span class="elsevierStyleItalic">Age</span>, <span class="elsevierStyleItalic">mean</span><span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD</span>, <span class="elsevierStyleItalic">years</span> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10 \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.803<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\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"><span class="elsevierStyleItalic">Female</span>, <span class="elsevierStyleItalic">n</span> (<span class="elsevierStyleItalic">%</span>) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (95) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (100) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.24 \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"><span class="elsevierStyleItalic">COPCORD</span>, <span class="elsevierStyleItalic">n</span> (<span class="elsevierStyleItalic">%</span>) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (80) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26 (96.3) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.073 \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"><span class="elsevierStyleItalic">First degree family member with RA</span> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (35) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (22) \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="char" 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></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></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"><span class="elsevierStyleItalic">Duration of symptoms</span> \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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.03 \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"><span class="elsevierStyleHsp" style=""></span><6 weeks, 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (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="char" 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="" 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"><span class="elsevierStyleHsp" style=""></span>6 wks to 3 months, 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (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="char" 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="" 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"><span class="elsevierStyleHsp" style=""></span>3 months to 6 months, 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="char" 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (7.4) \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="" 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"><span class="elsevierStyleHsp" style=""></span>>6 months old, 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (60) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (92.6) \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="" 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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></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"><span class="elsevierStyleItalic">VAS severity of morning stiffness</span> \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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.892 \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"><span class="elsevierStyleHsp" style=""></span>0–26, 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (35) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (29.6) \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="" 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"><span class="elsevierStyleHsp" style=""></span>26–90, 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (60) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (66.7) \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="" 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"><span class="elsevierStyleHsp" style=""></span>>90, 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (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="" 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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></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"><span class="elsevierStyleItalic">SJN</span>, <span class="elsevierStyleItalic">mean</span><span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD</span> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.576<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\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"><span class="elsevierStyleItalic">TJN</span>, <span class="elsevierStyleItalic">mean</span><span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD</span> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.564<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\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"><span class="elsevierStyleItalic">Positive CRP</span> (><span class="elsevierStyleItalic">51</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">mg</span>/<span class="elsevierStyleItalic">l</span>), <span class="elsevierStyleItalic">n</span> (<span class="elsevierStyleItalic">%</span>) \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="char" 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="char" 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.754 \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"><span class="elsevierStyleItalic">Positive RF</span>, <span class="elsevierStyleItalic">n</span> (<span class="elsevierStyleItalic">%</span>) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.97 \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"><span class="elsevierStyleItalic">Anti-CCP</span>, <span class="elsevierStyleItalic">n</span> (<span class="elsevierStyleItalic">%</span>) <span class="elsevierStyleItalic">antibody</span> \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (7.4) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.29 \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"><span class="elsevierStyleItalic">LPM</span>, <span class="elsevierStyleItalic">median</span> (<span class="elsevierStyleItalic">IQR</span>) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (1.77) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.5 (1.22) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.940 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab571503.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Statistical analysis performed using Student's <span class="elsevierStyleItalic">t</span> test.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Baseline Characteristics and Bivariate Analysis.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:16 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Epidemiology of rheumatoid arthritis: rheumatoid arthritis and mortality" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "E. 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 5 | 0 | 5 |
| 2024 October | 57 | 34 | 91 |
| 2024 September | 50 | 21 | 71 |
| 2024 August | 57 | 38 | 95 |
| 2024 July | 75 | 25 | 100 |
| 2024 June | 48 | 29 | 77 |
| 2024 May | 45 | 28 | 73 |
| 2024 April | 54 | 27 | 81 |
| 2024 March | 56 | 22 | 78 |
| 2024 February | 41 | 26 | 67 |
| 2024 January | 34 | 28 | 62 |
| 2023 December | 25 | 21 | 46 |
| 2023 November | 52 | 22 | 74 |
| 2023 October | 44 | 30 | 74 |
| 2023 September | 75 | 31 | 106 |
| 2023 August | 38 | 12 | 50 |
| 2023 July | 39 | 28 | 67 |
| 2023 June | 47 | 21 | 68 |
| 2023 May | 46 | 25 | 71 |
| 2023 April | 30 | 10 | 40 |
| 2023 March | 57 | 23 | 80 |
| 2023 February | 43 | 27 | 70 |
| 2023 January | 23 | 15 | 38 |
| 2022 December | 57 | 38 | 95 |
| 2022 November | 67 | 17 | 84 |
| 2022 October | 50 | 25 | 75 |
| 2022 September | 38 | 33 | 71 |
| 2022 August | 39 | 40 | 79 |
| 2022 July | 26 | 33 | 59 |
| 2022 June | 26 | 29 | 55 |
| 2022 May | 36 | 43 | 79 |
| 2022 April | 35 | 48 | 83 |
| 2022 March | 52 | 51 | 103 |
| 2022 February | 31 | 29 | 60 |
| 2022 January | 43 | 38 | 81 |
| 2021 December | 31 | 39 | 70 |
| 2021 November | 32 | 38 | 70 |
| 2021 October | 58 | 45 | 103 |
| 2021 September | 44 | 48 | 92 |
| 2021 August | 30 | 41 | 71 |
| 2021 July | 27 | 36 | 63 |
| 2021 June | 36 | 43 | 79 |
| 2021 May | 51 | 34 | 85 |
| 2021 April | 93 | 96 | 189 |
| 2021 March | 58 | 22 | 80 |
| 2021 February | 24 | 19 | 43 |
| 2021 January | 30 | 21 | 51 |
| 2020 December | 21 | 12 | 33 |
| 2020 November | 35 | 23 | 58 |
| 2020 October | 14 | 11 | 25 |
| 2020 September | 23 | 25 | 48 |
| 2020 August | 24 | 21 | 45 |
| 2020 July | 29 | 13 | 42 |
| 2020 June | 52 | 18 | 70 |
| 2020 May | 28 | 11 | 39 |
| 2020 April | 34 | 16 | 50 |
| 2020 March | 12 | 8 | 20 |
| 2018 May | 5 | 0 | 5 |
| 2018 April | 56 | 7 | 63 |
| 2018 March | 53 | 16 | 69 |
| 2018 February | 31 | 1 | 32 |
| 2018 January | 25 | 9 | 34 |
| 2017 December | 29 | 5 | 34 |
| 2017 November | 41 | 6 | 47 |
| 2017 October | 27 | 2 | 29 |
| 2017 September | 37 | 3 | 40 |
| 2017 August | 60 | 7 | 67 |
| 2017 July | 42 | 6 | 48 |
| 2017 June | 70 | 11 | 81 |
| 2017 May | 71 | 9 | 80 |
| 2017 April | 40 | 6 | 46 |
| 2017 March | 49 | 8 | 57 |
| 2017 February | 14 | 6 | 20 |
| 2017 January | 25 | 3 | 28 |
| 2016 December | 56 | 18 | 74 |
| 2016 November | 38 | 6 | 44 |
| 2016 October | 68 | 11 | 79 |
| 2016 September | 48 | 3 | 51 |
| 2016 August | 58 | 2 | 60 |
| 2016 July | 30 | 11 | 41 |
| 2015 December | 2 | 0 | 2 |
| 2015 September | 2 | 0 | 2 |
| 2015 August | 1 | 0 | 1 |
| 2015 July | 14 | 6 | 20 |
| 2015 June | 45 | 16 | 61 |
| 2015 May | 47 | 13 | 60 |
| 2015 April | 44 | 14 | 58 |
| 2015 March | 30 | 10 | 40 |
| 2015 February | 40 | 12 | 52 |
| 2015 January | 71 | 19 | 90 |
| 2014 December | 61 | 16 | 77 |
| 2014 November | 69 | 17 | 86 |
| 2014 October | 40 | 16 | 56 |
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