<?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>2500-5006</journal-id>
<journal-title><![CDATA[Revista Colombiana de Nefrología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. colom. nefrol.]]></abbrev-journal-title>
<issn>2500-5006</issn>
<publisher>
<publisher-name><![CDATA[Asociación Colombiana de Nefrología e Hipertensión Arterial]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2500-50062020000200055</article-id>
<article-id pub-id-type="doi">10.22265/acnef.7.2.481</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Prevalencia de la enfermedad renal crónica en pacientes con diabetes mellitus tipo 2 de un programa de riesgo cardiovascular]]></article-title>
<article-title xml:lang="en"><![CDATA[Prevalence of chronic kidney disease in a population with type 2 diabetes of a cardiovascular risk program]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castañeda Espinosa]]></surname>
<given-names><![CDATA[Laura]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Losada Alvarez]]></surname>
<given-names><![CDATA[Laura Marcela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Serna Flórez]]></surname>
<given-names><![CDATA[Jhon]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Duque Valencia]]></surname>
<given-names><![CDATA[Jorge Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nieto Cárdenas]]></surname>
<given-names><![CDATA[Olga Alicia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Quindío Facultad Ciencias de la Salud ]]></institution>
<addr-line><![CDATA[Armenia ]]></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>7</volume>
<numero>2</numero>
<fpage>55</fpage>
<lpage>66</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S2500-50062020000200055&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S2500-50062020000200055&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S2500-50062020000200055&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción: la diabetes mellitus tipo 2 (DM2) es la principal causa de nefropatía terminal en el mundo. Se sabe que en Colombia esta enfermedad tiene una prevalencia del 7-9 %, pero para algunos municipios no hay datos sobre el número de personan que padecen DM2 y enfermedad renal crónica (ERC), ni sobre los factores de riesgo relacionados con su desarrollo.  Objetivo: determinar la prevalencia y los factores de riesgo para desarrollar ERC en una población de pacientes con DM2 que consultaron a un programa de riesgo cardiovascular de una institución de salud de Armenia, Colombia, durante el año 2017.  Materiales y métodos: estudio descriptivo de corte transversal realizado en una muestra de 232 pacientes. Se describieron las variables con medidas de tendencia central e intervalos de confianza del 95 %, se realizó análisis de varianza y pruebas Chi cuadrado para las variables numéricas y categóricas, respectivamente; se aplicaron los modelos de regresión múltiple y regresión logística, y se consideró una diferencia estadísticamente significativa con un valor de p&lt;0,05.  Resultados: la prevalencia de DM2 fue del 34,14 % y la de ERC varió entre 22,41 % y 38,79 %, según la ecuación utilizada. El 69,83 % de la población se encontró en normoalbuminuria; el 25 %, en microalbuminuria, y el 5,17 °%, en macroalbuminuria. Los factores de riesgo identificados para ERC fueron edad (Cockcroft-Gault y CKD-EPI p&lt;0,001; MDRD p=0,012), perímetro abdominal (Cockcroft-Gault p&lt;0,001; MDRD p=0,028; CKD-EPI p=0,011), nivel de creatinina (Cockcroft-Gault, MDRD, CKD-EPI p&lt;0,001) y sedentarismo (Cockcroft-Gault p=0,046). Las ecuaciones más adecuadas para identificar tempranamente la ERC en la población estudiada fueron CKD-EPI (R2=85,74 %) y Cockcroft-Gault (R2=85,43 %), con un valor de pronóstico de 95,68 % y 93,96 %, respectivamente.  Conclusión: la prevalencia de ERC, que osciló entre 22,41 % y 38,79 %, dependió de la ecuación utilizada. Los factores de riesgo para desarrollar ERC fueron edad, nivel de creatinina, perímetro abdominal y sedentarismo. Se propone que para esta población las ecuaciones Cockcroft-Gault y CKD-EPI son las más adecuadas para identificar la ERC.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction: In Colombia, the prevalence of type 2 diabetes mellitus (DM2) is 7-9%, this being the main cause of end-stage renal disease in the world4. In the municipality of Armenia, the prevalence of the population suffering from DM2 with chronic kidney disease (CKD) and the risk factors related to its development are unknown.  Objective: To determine the prevalence and risk factors of developing chronic kidney disease (CKD) in a population with type 2 diabetes, consultants to a cardiovascular risk program of an IPS of Armenia, Colombia, during the year 2017.  Methods: Descriptive cross-sectional study with 232 patients. The variables were described by measures of central tendency and 95 % confidence intervals, ANOVA and Chi square tests were performed for the numerical and categorical variables respectively, multiple regression and logistic regression, with a value of P &lt;0.05.  Results: The prevalence of diabetes was 34.14 % and CKD varies between 22.41-38.79 % according to the equation used. 69.83 % are in normoalbuminuria, 25 % in microalbuminuria and 5.17 % in macroalbuminuria. The risk factors identified for CKD were: age (Cockcroft-Gault and CKD-EPI p &lt;0.001; MDRD p = 0.012), abdominal perimeter (Cockcroft-gault p &lt;0.001; MDRD p = 0.028; CKD-EPI p = 0.011), creatinine level (Cockcroft-gault, MDRD, CKD-EPI p &lt;0.001) and sedentary lifestyle (Cockcroft-gault p = 0.046). The most adequate equations for early identification of CKD in this population are CKD-EPI (R2 = 85.74 %) and Cockcroft-gault (R2 = 85.43 %), with a prognostic value of 95.68 % and 93, 96 % respectively.  Conclusion: The prevalence of CKD varies between 22.41 % and 38.79 %, depending on the equation used. The risk factors for developing CKD are age, creatinine level, abdominal perimeter and sedentary lifestyle. It is proposed that for this population the Cockcroft-Gault and CKD-EPI equations are the most adequate to identify CKD.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[diabetes mellitus tipo 2, enfermedad renal crónica, prevalencia, factores de riesgo, tasa de filtración glomerular]]></kwd>
<kwd lng="es"><![CDATA[creatinina (DeCS)]]></kwd>
<kwd lng="en"><![CDATA[type 2 diabetes mellitus]]></kwd>
<kwd lng="en"><![CDATA[chronic kidney disease]]></kwd>
<kwd lng="en"><![CDATA[prevalence]]></kwd>
<kwd lng="en"><![CDATA[risk factors]]></kwd>
<kwd lng="en"><![CDATA[glomerular filtration rate]]></kwd>
<kwd lng="en"><![CDATA[creatinine (MeSH)]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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