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"documento" => "simple-article" "crossmark" => 1 "subdocumento" => "crp" "cita" => "Med Clin. 2018;150:56-60" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Brief report</span>" "titulo" => "Relationship between glycaemic levels and arterial stiffness in non-diabetic adults" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "56" "paginaFinal" => "60" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Relación entre los niveles de glucemia y la rigidez arterial en adultos no diabéticos" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Iván Cavero-Redondo, Vicente Martínez-Vizcaíno, Celia Álvarez-Bueno, José Ignacio Recio-Rodríguez, Manuel Ángel Gómez-Marcos, Luis García-Ortiz" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Iván" "apellidos" => "Cavero-Redondo" ] 1 => array:2 [ "nombre" => "Vicente" "apellidos" => "Martínez-Vizcaíno" ] 2 => array:2 [ "nombre" => "Celia" "apellidos" => "Álvarez-Bueno" ] 3 => array:2 [ "nombre" => "José Ignacio" "apellidos" => "Recio-Rodríguez" ] 4 => array:2 [ "nombre" => "Manuel Ángel" "apellidos" => "Gómez-Marcos" ] 5 => array:2 [ "nombre" => "Luis" "apellidos" => "García-Ortiz" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0025775317306437" "doi" => "10.1016/j.medcli.2017.06.072" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0025775317306437?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020617307751?idApp=UINPBA00004N" "url" => "/23870206/0000015000000002/v1_201802200448/S2387020617307751/v1_201802200448/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Brief report</span>" "titulo" => "Concordance among venous thromboembolism risk assessment models" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "61" "paginaFinal" => "63" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Clara Smilg Nicolás, Gloria Tornel Sánchez, Javier Trujillo Santos" "autores" => array:3 [ 0 => array:2 [ "nombre" => "Clara" "apellidos" => "Smilg Nicolás" ] 1 => array:2 [ "nombre" => "Gloria" "apellidos" => "Tornel Sánchez" ] 2 => array:4 [ "nombre" => "Javier" "apellidos" => "Trujillo Santos" "email" => array:1 [ 0 => "javier.trujillosantos@gmail.com" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Hospital General Universitario Santa Lucía, Cartagena, Murcia, Spain" "identificador" => "aff0005" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Concordancia entre las escalas de predicción de riesgo tromboembólico venoso" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Patients hospitalized for acute medical conditions have a higher percentage of venous thromboembolic disease (VTE) (ranging between 10 and 20%)<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">1</span></a> compared to patients undergoing surgical procedures, although this risk is less characterized and the need for prophylaxis is not so widespread. Large clinical trials on pharmacological prophylaxis in medical patients<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">2–4</span></a> have shown that antithrombotic prophylaxis is effective but not without risks. On the other hand, different groups of researchers have developed several clinical scales which can assess the risk of VTE development, although, generally speaking, they lack external validation. The aim of our study is to assess the prognostic capacity and the degree of agreement that exists between the different risk assessment scales. We used the kappa index because it is the statistical measurement that evaluates the agreement or reproducibility of measuring tools whose result is categorical.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Material and methods</span><p id="par0010" class="elsevierStylePara elsevierViewall">Observational prospective cohort study conducted between March and May 2013 at the Santa Lucía University General Hospital in Cartagena, Murcia, a tertiary hospital equipped with 600 beds.</p><p id="par0015" class="elsevierStylePara elsevierViewall">Inclusion criteria were being 18 years of age or older, suffering from a medical condition other than VTE as a reason for hospital admission, being admitted to a medical service and signing an informed consent to participate. We excluded all patients admitted on a scheduled/elective basis, those who experienced a disease susceptible of surgical intervention within days after their hospitalization and those under anticoagulant therapy.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Four risk assessment scales for VTE were selected. The Padua scale,<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">5</span></a> for being the scale recommended by the IX Conference of the ACCP in 2012, the PRETEMED scale<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">6</span></a> published in 2007, for being a Spanish guide endorsed by many national scientific societies, the IMPROVE scale<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">7</span></a> because it was designed from an important international multicenter study and, finally, the inclusion criteria of the MEDENOX study<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">2</span></a> for being the first large clinical trial to demonstrate the benefit of enoxaparin prophylaxis, whose criteria are designed to select patients with at least moderate risk of VTE.</p><p id="par0025" class="elsevierStylePara elsevierViewall">During the first 2 days of admission, VTE risk factors were collected and the VTE risk calculation was carried out using the Padua, PRETEMED, IMPROVE scales and the MEDENOX inclusion criteria. The thromboprophylaxis used during hospitalization was also collected. The follow-up of the development of VTE was carried out within 90 days after hospital admission through consultation of the electronic medical record and telephone interview.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0030" class="elsevierStylePara elsevierViewall">602 patients participated in the study, of whom 298 (49.5%) were men and 304 (50.5%) women, with an average age of 67 years (SD<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>17). The medical services where they were admitted were the following: 311 (52%) in Internal Medicine, 71 (12%) in Pneumology, 68 (11%) in Neurology, 55 (9%) in Medical Oncology, 29 (4.8%) in Rheumatology, 27 (4.5%) in Cardiology and 41 (9%) in other medical services.</p><p id="par0035" class="elsevierStylePara elsevierViewall">During the follow-up, 9 patients (1.5%) developed VTE and, of these, 6 (67%) had received pharmacological thromboprophylaxis. In addition, 3 hemorrhagic events (0.5%) were observed, 2 of them in patients under thromboprophylaxis.</p><p id="par0040" class="elsevierStylePara elsevierViewall">Demographic data and risk factors of VTE were collected (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). 472 (78%) were classified as high-risk patients for VTE according to the Padua scale, 338 (56%) according to the PRETEMED scale, 414 (69%) according to the IMPROVE scale and 356 (59%) according to the inclusion criteria of the MEDENOX study. Among them, the following developed VTE: 7 (1.5%), 6 (1.8%), 6 (1.4%) and 5 (1.4%) high-risk patients according to the Padua, PRETEMED, IMPROVE and MEDENOX criteria, respectively.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0045" class="elsevierStylePara elsevierViewall">Among those classified as high-risk, prophylaxis had been administered to 394 (65%) of those classified by the Padova scale, 285 (47%) of PRETEMED, 356 (59%) of IMPROVE and 249 (41%) according to the MEDENOX study criteria. Among these high-risk patients who received prophylaxis, 6 (1.5%), 5 (1.8%), 6 (1.7%) and 2 (0.8%) developed VTE, respectively (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall">The degree of agreement observed (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.60) between the Padua scale and the IMPROVE scale was good; moderate between the IMPROVE and PRETEMED scales (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.44) and between the PRETEMED scale and the MEDENOX criteria (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.43); weak between the Padua and PRETEMED scales (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.33) and the IMPROVE scale and the MEDENOX criteria (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.27) and poor between the Padua scale and the MEDENOX criteria (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.24) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0055" class="elsevierStylePara elsevierViewall">In this prospective study of medical patients admitted in a non-scheduled manner and susceptible to receiving thromboprophylaxis, a great variability was observed between the different scales that classify the patient as high risk of developing VTE, with the aggravating circumstance that the agreement between them was deficient, which determines its reproducibility and the usefulness of its implementation.</p><p id="par0060" class="elsevierStylePara elsevierViewall">There are very few studies in the literature that assess the degree of agreement between the different VTE scales, and the few studies that exist show very different results. In addition, the scale recommended by the ACCP, the Padua scale, is always compared with the national PRETEMED scale. In the work of Gallardo Jiménez et al.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">8</span></a> a good degree of agreement was described (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.68) between the Padua and PRETEMED scales. In the MEDITROM study<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">9</span></a> a moderate degree of agreement was described (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.58) and, as in our work, in the study by Ruiz Artacho et al.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">10</span></a> the degree of agreement between the Padua and PRETEMED scales was found to be weak (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.39). In our study, the highest degree of agreement was found between the IMPROVE and Padua scales (<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.60).</p><p id="par0065" class="elsevierStylePara elsevierViewall">The incidence of VTE at 90 days in our study is lower than that of the large MEDENOX,<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">2</span></a> PREVENT<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> and ARTEMIS<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">4</span></a> clinical trials, probably because they were screened with lower-limb phlebography or ultrasound, so that asymptomatic VTE could also be diagnosed. The incidence of hemorrhagic events is also lower than that observed in the previous clinical trials.</p><p id="par0070" class="elsevierStylePara elsevierViewall">Both the percentage of high-risk patients and patients receiving thromboprophylaxis is higher in our study than in the majority of published studies, both national and international. In the subanalysis of Spanish hospitals of the ENDORSE study<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">11</span></a> 55% of patients were classified as having a high risk of VTE, 64% receiving prophylaxis. The MEDITROM study<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">9</span></a> described 57% of high-risk patients according to the Padua scale, 69% receiving prophylaxis. In the IMPROVE study,<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">7</span></a> 52% of patients from hospitals in the United States and 43% of the rest of hospitals were considered at risk according to the ACCP criteria. The higher number of patients at risk of our study can be explained by the high comorbidity of our patients, with a higher percentage of risk factors than that described in previous studies. In the study by Anderson et al.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">12</span></a> a prevalence of one or more risk factors was described in 78% of hospitalized patients, 2 or more in 48% and 3 or more risk factors in 19%, whereas in our study the percentage of patients with at least 3 risk factors was 484 (80%) and 368 (61%) of patients had at least 4 risk factors.</p><p id="par0075" class="elsevierStylePara elsevierViewall">The Padova scale was the one with the highest number of correctly detected VTE events at 90 days since admission in patients classified as high risk, while the MEDENOX criteria was the least successful.</p><p id="par0080" class="elsevierStylePara elsevierViewall">In conclusion, there is no good agreement between the VTE risk assessment scales. The strongest agreement is found between the Padua and IMPROVE scales. The Padova scale was the best predictor of VTE episodes at 90 days among patients classified as high risk. Despite receiving antithrombotic prophylaxis, a high percentage of patients developed VTE.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Funding</span><p id="par0085" class="elsevierStylePara elsevierViewall">The study was partially funded with an unrestricted research grant from Sanofi-Aventis.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conflict of interests</span><p id="par0090" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres986342" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec953967" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres986341" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Pacientes y método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec953968" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Material and methods" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Funding" ] 9 => array:2 [ "identificador" => "sec0030" "titulo" => "Conflict of interests" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2017-04-13" "fechaAceptado" => "2017-06-15" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec953967" "palabras" => array:3 [ 0 => "Venous thromboembolism risk assessment models" 1 => "Venous thromboembolic disease" 2 => "Thromboprophylaxis" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec953968" "palabras" => array:3 [ 0 => "Escala de predicción de riesgo" 1 => "Enfermedad tromboembólica venosa" 2 => "Tromboprofilaxis" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objectives</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">There are a lot of venous thromboembolism risk assessment models with the aim of predicting the individual risk of venous thromboembolism (VTE), although most have not been externally validated. The objective of our study was to analyze the concordance among the Padua, PRETEMED, IMPROVE and MEDENOX scores.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Patients and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Observational cohort study with 602 patients admitted to Medical Services of the Hospital Universitario Santa Lucía. Concordance was calculated using the kappa index (KI) between the four risk prediction scales and the VTE occurring within 90 days of hospitalization.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Patients considered were those with a high risk of VTE, 78%, 56%, 69% and 59% according to Padua, PRETEMED, IMPROVE and MEDENOX scores respectively. A KI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.60 was observed among Padua-IMPROVE scores; KI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.44 among IMPROVE-PRETEMED, KI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.43 among PRETEMED-MEDENOX, KI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.33 among Padua-PRETEMED, KI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.27 among IMPROVE-MEDENOX and a KI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.24 among Padua-MEDENOX. During follow-up, nine cases of VTE (1.5%) were observed.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The highest degree of agreement was observed among the Padua and IMPROVE scores. There is no good agreement between any of the predictive risk scales for VTE in medical patients. The Padua score was the best predictor of VTE episodes at 90 days among high risk patients.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Antecedentes y objetivos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Existen numerosas escalas cuyo objetivo es predecir el riesgo individual de enfermedad tromboembólica venosa (ETV), si bien la mayoría de ellas no se han validado externamente. El objetivo de nuestro estudio fue analizar la concordancia entre las escalas de Padua, PRETEMED, IMPROVE y los criterios de inclusión del estudio MEDENOX.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Pacientes y método</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio observacional de cohortes con 602 pacientes ingresados en servicios médicos del Hospital Universitario Santa Lucía. Se calculó la concordancia mediante el índice kappa (IK) entre las 4 escalas de predicción de riesgo y se recogieron las ETV ocurridas en los 90 días siguientes a la hospitalización.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Se consideraron pacientes de alto riesgo de presentar ETV el 78, 56, 69 y 59% de los pacientes según las escalas Padua, PRETEMED, IMPROVE y MEDENOX, respectivamente. Se observó un IK<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,60 entre las escalas Padua-IMPROVE; IK<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,44 entre IMPROVE-PRETEMED, IK<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,43 entre PRETEMED-MEDENOX, IK<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,33 entre Padua-PRETEMED, IK<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,27 entre IMPROVE-MEDENOX y un IK<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,24 entre Padua-MEDENOX. Durante el seguimiento se observaron 9 casos de ETV (1,5%).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El mayor grado de concordancia se determinó entre las escalas Padua e IMPROVE. No existe buena concordancia entre ninguna de las escalas de predicción de riesgo de ETV en pacientes médicos. La escala Padua fue la que mejor predijo los episodios de ETV a los 90 días entre los pacientes clasificados de alto riesgo.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Pacientes y método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Smilg Nicolás C, Tornel Sánchez G, Trujillo Santos J. Concordancia entre las escalas de predicción de riesgo tromboembólico venoso. Med Clin (Barc). 2018;150:61–63.</p>" ] ] "multimedia" => array:3 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Demographic data</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age (mean) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">68 (SD<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>18) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">298 (49%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Body mass index (mean) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27 (SD<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Risk factors</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No. of risk factors (mean) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (SD<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥3 risk factors \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">484 (80%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥4 risk factors \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">368 (61%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Immobilization \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">411 (68%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Previous VTE \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11 (2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic venous insufficiency \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">131 (22%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Thrombophilia \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (0.5%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Surgery or recent trauma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Active cancer \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">47 (8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Heart failure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">116 (19%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Respiratory insufficiency \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">71 (12%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Acute myocardial infarction \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36 (6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Acute ischemic stroke \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">75 (12%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Acute infection \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">211 (35%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Acute rheumatic disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">44 (7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Active inflammatory bowel disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14 (2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hormone treatment \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1674398.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Demographic data and risk factors of the study patients.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Risk assessment scales \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total patients<br>No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>602 (100%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">VTE 90 days<br>No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9 (1.5%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Prophylaxis<br>No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>475 (79%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">VTE 90 days in patients with prophylaxis<br>No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>6 (1%) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Padua, n (%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>High \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">472 (78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (1.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">394 (65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (1.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">130 (22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (1.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">81 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">PRETEMED, n (%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Moderate-high \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">338 (56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (1.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">285 (47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (1.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">264 (44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">190 (32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (0.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">IMPROVE, n (%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>High \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">414 (69) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (1.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">356 (59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (1.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">188 (31) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (1.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">MEDENOX, n (%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>High \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">356 (59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (1.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">249 (41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (0.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">246 (41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (1.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">226 (38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (1.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1674399.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">VTE risk calculated according to the different scales, prophylaxis received according to the risk groups and VTE observed according to the calculated risk and the prophylaxis received.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Padua \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PRETEMED \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">PRETEMED \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">IMPROVE \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.44 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">IMPROVE \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">MEDENOX \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.27 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1674400.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Kappa index of agreement observed between the different VTE risk assessment scales.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:12 [ 0 => array:3 [ "identificador" => "bib0065" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevention of venous thromboembolism. 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Brief report
Concordance among venous thromboembolism risk assessment models
Concordancia entre las escalas de predicción de riesgo tromboembólico venoso
Clara Smilg Nicolás, Gloria Tornel Sánchez, Javier Trujillo Santos
Corresponding author
Hospital General Universitario Santa Lucía, Cartagena, Murcia, Spain