<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-5633</journal-id>
<journal-title><![CDATA[Revista Colombiana de Cardiología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Colomb. Cardiol.]]></abbrev-journal-title>
<issn>0120-5633</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Colombiana de Cardiologia. Oficina de Publicaciones]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-56332020000600616</article-id>
<article-id pub-id-type="doi">10.1016/j.rccar.2020.01.009</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Uso de modelos de predicción de eventos cardiovasculares para pronóstico de lesión vascular coronaria significativa]]></article-title>
<article-title xml:lang="en"><![CDATA[Use of cardiovascular events prediction models for the prognosis of a severe coronary artery lesion]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[CáceresMéndez]]></surname>
<given-names><![CDATA[Edward Andrés]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García-Peña]]></surname>
<given-names><![CDATA[Ángel Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Hospital Universitario San Ignacio  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Hospital Universitario San Ignacio Departamento de Medicina Interna, Pontificia Universidad Javeriana Unidad de Cardiología]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>27</volume>
<numero>6</numero>
<fpage>616</fpage>
<lpage>620</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-56332020000600616&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-56332020000600616&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-56332020000600616&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivos:  Determinar el mejor punto de corte y el grado de conformidad de las escalas de riesgo, Framingham, PROCAM y Reynolds, para el diagnóstico de lesión vascular coronaria arterioesclerótica severa a través de la comparación de las áreas bajo la curva de acuerdo con las curvas operativas del receptor (COR).  Métodos:  Estudio de corte transversal en adultos que fueron sometidos a arteriografía coronaria. Se aplicaron las escalas Framingham, PROCAM y Reynolds, las dos primeras ajustadas según estudio de calibración colombiano. Luego se realizó la recolección de los datos de manera concurrente en instituciones de referencia en cardiología y hemodinámica en Bogotá.  Resultados:  De 200 pacientes estudiados, 66% eran mujeres, 37,5% mayores de 70 años, 53,2% con hipertensión, 52,7% en sobrepeso u obesidad, 61,5% presentaron valores altos de Proteína C Reactiva ultrasensible (PCRus) y 50% tenían al menos una lesión coronaria mayor de 70%. Se encontraron los mejores puntos de corte, de acuerdo con cada curva de características operativas del receptor (COR): Framingham ajustado 5,8% (sensibilidad 80%, especificidad 41%). PROCAM ajustado 1,7% (sensibilidad 78%, especificidad 45%) y Reynolds 3,8% (sensibilidad 68%, especificidad 45%). Adicionalmente, se encontró que las tres escalas presentaron áreas bajo la curva (ABC) de 0,59, 0,59 y 0,57, respectivamente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objectives:  To determine the best cut-off point and the level of agreement of the Framingham, PROCAM, and Reynolds risk scales, for the diagnosis of a severe atherosclerotic coronary artery lesion by comparing the areas under the receiver operator characteristics (ROC) curves.  Methods:  A cross-sectional study was carried out on adults that were subjected to coronary angiography. The Framingham, PROCAM, and Reynolds were applied, with the first two adjusted to a Colombian calibration study. Data were collected concurrently in the institutions of reference in Cardiology and haemodynamics in Bogota.  Results:  Of the 200 patients study, 66% were female, and 37.5% greater than 70 years-old. Hypertension was recorded in 53.2%, and overweight and obesity in 52.7%. Elevated levels of high sensitivity C-Reactive Protein (hsCRP) were observed in 61.5% of cases and 50% had at least one major coronary lesion greater than 70%. The best cut-off points according to each of the ROC curves: Adjusted Framingham, 5.8% (sensitivity, 80%, specificity, 41%), Adjusted PROCAM, 1.7% (sensitivity, 78%, specificity, 45%) and Reynolds, 3.8% (sensitivity, 68%, specificity, 45%). Additionally, the three areas under the curve (AUC) were 0.59, 0.59, and 0.57, respectively.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Índice de Framingham]]></kwd>
<kwd lng="es"><![CDATA[Escala PROCAM]]></kwd>
<kwd lng="es"><![CDATA[Escala de Reynolds]]></kwd>
<kwd lng="es"><![CDATA[Enfermedad coronaria]]></kwd>
<kwd lng="es"><![CDATA[Arteriografía coronaria]]></kwd>
<kwd lng="es"><![CDATA[Estudios de concordancia por conformidad]]></kwd>
<kwd lng="en"><![CDATA[Framingham score]]></kwd>
<kwd lng="en"><![CDATA[PROCAM scale]]></kwd>
<kwd lng="en"><![CDATA[Reynolds scale]]></kwd>
<kwd lng="en"><![CDATA[Coronary disease]]></kwd>
<kwd lng="en"><![CDATA[Coronary angiography]]></kwd>
<kwd lng="en"><![CDATA[Comparison studies]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[D'Agostino]]></surname>
<given-names><![CDATA[RB]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[General cardiovascular risk profile for use in primary care the Framingham Heart Study]]></article-title>
<source><![CDATA[Circulation]]></source>
<year>2008</year>
<volume>117</volume>
<page-range>743-53</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Assmann]]></surname>
<given-names><![CDATA[GP]]></given-names>
</name>
<name>
<surname><![CDATA[Cullen]]></surname>
<given-names><![CDATA[HS]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year followup of the prospective cardiovascular Munster (PROCAM) study]]></article-title>
<source><![CDATA[Circulation]]></source>
<year>2002</year>
<volume>105</volume>
<page-range>310-5</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Versteylen]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Joosen]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Shaw]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Narula]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Hofstra]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of Framingham, PROCAM SCORE, and Diamond Forrester to predict coronary atherosclerosis and cardiovascular events.]]></article-title>
<source><![CDATA[J Nucl Cardiol]]></source>
<year>2011</year>
<volume>18</volume>
<page-range>904</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lauer]]></surname>
<given-names><![CDATA[MS]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Screening asymptomatic subjects for subclinical atherosclerosis not so obvious]]></article-title>
<source><![CDATA[J Am Coll Cardiol]]></source>
<year>2010</year>
<volume>56</volume>
<page-range>106-8</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shah]]></surname>
<given-names><![CDATA[PK]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Screening asymptomatic subjects for subclinical therosclerosis can we, does it matter, and should we?]]></article-title>
<source><![CDATA[J Am Coll Cardiol]]></source>
<year>2010</year>
<volume>56</volume>
<page-range>98-105</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Badimón]]></surname>
<given-names><![CDATA[JJ]]></given-names>
</name>
<name>
<surname><![CDATA[Santos-Gallego]]></surname>
<given-names><![CDATA[CG]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Kaskic]]></surname>
<given-names><![CDATA[JC]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Nuevas herramientas en la estratificación del riesgo cardiovascular]]></article-title>
<source><![CDATA[Rev Esp Cardiol]]></source>
<year>2011</year>
<volume>11</volume>
<numero>^sB</numero>
<issue>^sB</issue>
<supplement>B</supplement>
<page-range>21-8</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Glagov]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Weisenberg]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Zarins]]></surname>
<given-names><![CDATA[CK]]></given-names>
</name>
<name>
<surname><![CDATA[Stankunavicius]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Kolettis]]></surname>
<given-names><![CDATA[GJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Compensatory enlargement of human atherosclerotic coronary arteries]]></article-title>
<source><![CDATA[N Engl J Med]]></source>
<year>1987</year>
<volume>316</volume>
<page-range>1371-5</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Libby]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Ridker]]></surname>
<given-names><![CDATA[PM]]></given-names>
</name>
<name>
<surname><![CDATA[Hansson]]></surname>
<given-names><![CDATA[GK]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inflammation in atherosclerosis from pathophysiology to practice]]></article-title>
<source><![CDATA[J Am Coll Cardiol]]></source>
<year>2009</year>
<volume>54</volume>
<page-range>2129-38</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Noguera]]></surname>
<given-names><![CDATA[TL]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Metodología ROC en la evaluación de medidas antropométricas como marcadores de la hipertensión arterial.]]></article-title>
<source><![CDATA[Trabajo de grado]]></source>
<year>2010</year>
<publisher-loc><![CDATA[Santiago de Compostela ]]></publisher-loc>
<publisher-name><![CDATA[Universidad de Santiago de Compostela]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<label>10.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[XH]]></given-names>
</name>
<name>
<surname><![CDATA[Obuchowski]]></surname>
<given-names><![CDATA[NA]]></given-names>
</name>
<name>
<surname><![CDATA[Mcclish]]></surname>
<given-names><![CDATA[DK.]]></given-names>
</name>
</person-group>
<source><![CDATA[Statistical methods in diagnostic medicine, sample size calculation, the sample size for the accuracy of two tests 6.2.1 the sample size for determinating a suitable cutoff value.]]></source>
<year>2002</year>
<publisher-loc><![CDATA[Inc NY ]]></publisher-loc>
<publisher-name><![CDATA[John Wiley &amp; Sons]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[MuÑoz Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estudio de concordancia de las escalas de riesgo Framingham y PROCAM]]></article-title>
<source><![CDATA[Trabajo de Grado]]></source>
<year>2011</year>
<publisher-loc><![CDATA[Bogotá: ]]></publisher-loc>
<publisher-name><![CDATA[Pontificia Universidad Javeriana]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
