<?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>1409-4142</journal-id>
<journal-title><![CDATA[Revista Costarricense de Cardiología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. costarric. cardiol]]></abbrev-journal-title>
<issn>1409-4142</issn>
<publisher>
<publisher-name><![CDATA[Asociación Costarricense de Cardiología]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1409-41422021000200005</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Influencia de factores de riesgo en la predicción de un evento cardiovascular adverso en población adulta de prevención primaria en El Salvador]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Villarroel-Ábrego]]></surname>
<given-names><![CDATA[Hugo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Villarroel-Martínez]]></surname>
<given-names><![CDATA[Mónica]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Trejos-Montoya]]></surname>
<given-names><![CDATA[José]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Hospital de Diagnóstico Escalón Universidad Salvadoreña &#8220;Alberto Masferrer&#8221; Facultad de Medicina]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>El Salvador</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Médico Centro de Atención de Ancianos &#8220;Sara Zaldívar&#8221;,  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>San Salvador</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Nacional Escuela de Ciencias del Movimiento Humano y Calidad de Vida ]]></institution>
<addr-line><![CDATA[Heredia ]]></addr-line>
<country>Costa Rica</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>23</volume>
<numero>2</numero>
<fpage>5</fpage>
<lpage>9</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S1409-41422021000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S1409-41422021000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S1409-41422021000200005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En la región latinoamericana son escasos los modelos de predicción que permitan conocer cuáles factores de riesgo son más prevalentes y los pocos estudios disponibles no funcionan bien en esta población.  Objetivo:  Determinar la probabilidad y predicción que tiene los factores de riesgo de sexo, edad, presión arterial sistólica (PAS), índice de masa corporal (IMC), diabetes mellitus y tabaquismo sobre la aparición de un evento cardiovascular adverso (ECA) de una población salvadoreña.  Metodología: Estudio de casos y controles de tipo retrospectivo y predictivo. Participaron 527 personas adultas que acudieron a consulta externa de cardiología sin eventos cardiovasculares previos registrados. Se utilizó la prueba de la ji al cuadrado (X2) y V de Cramer para hacer la comparación de frecuencias y la regresión logística binaria para determinar la predicción y las probabilidades estimadas de presentar un ECA en un periodo de cinco años.  Resultados:  Se encontró una correlación significativamente baja entre los ECA y el sexo (r&#934;= -.164; p &lt; .001), diabetes (r&#934;=-.244; p &lt; .001) y con el fumando (r&#934;= -.159; p &lt; .001). Además, un efecto moderado con la estratificación de riesgo (V de Cramer= .359; p &lt; .001). Existe una predicción significativa (X2= 82.1; p &lt; .001), la cual responde el 32,6 % del modelo.  Conclusiones:  Las variables de sexo, la edad, la presencia de diabetes mellitus y el fumado predicen la aparición de un ECA en un periodo de cinco años, mientras que el IMC y PAS no influyen significativamente en la probabilidad de padecer de un ECA.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Influence of risk factors in the prediction of an adverse cardiovascular event in the adult population of primary prevention in El Salvador In the Latin American region, there are few prediction models that allow us to know which risk factors are more prevalent and the few available studies do not work well in this population.  Purpose:  Determine the probability and prediction that the risk factors of sex, age, systolic blood pressure (SBP), body mass index (BMI), diabetes mellitus and smoking have on the appearance of an adverse cardiovascular event (ACE) in a Salvadoran population.  Methods: Retrospective and predictive case-control study. A total of 527 adults participated in the outpatient cardiology consultation with no prior recorded cardiovascular events. Chi Square (X2) and Cramer&#8217;s V were used to compare frequencies and binary logistic regression to determine the prediction and estimated probabilities of presenting an ACE in a period of 5 years.  Results:  A significantly low correlation was found between ACEs and sex (r&#934;= -.164; p &lt;.001), diabetes (r&#934;= -.244; p &lt;.001) and with smoking (r&#934;= -.159; p &lt;.001). Also, a moderate effect with risk stratification (Cramer&#8217;s V = .359; p &lt;.001). There is a significant prediction (X2 = 82.1; p &lt;.001), which responds to 32.6% of the model.  Conclusion:  The variables of sex, age, the presence of diabetes mellitus and smoking predict the appearance of an RCT in a period of 5 years, while BMI and SBP do not significantly influence the probability of suffering from an ACE.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[factores de riesgo]]></kwd>
<kwd lng="es"><![CDATA[evento cardiovascular adverso]]></kwd>
<kwd lng="es"><![CDATA[regresión logística binaria]]></kwd>
<kwd lng="en"><![CDATA[risk factors]]></kwd>
<kwd lng="en"><![CDATA[adverse cardiovascular event]]></kwd>
<kwd lng="en"><![CDATA[binary logistic regression.]]></kwd>
</kwd-group>
</article-meta>
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