<?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>S2500-50062025000200007</article-id>
<article-id pub-id-type="doi">10.22265/acnef.12.2.878</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Tasa de filtración glomerular estimada: análisis de la concordancia entre las ecuaciones CKD-EPI-09, CKD-EPI-21 y EKFC, en una muestra de estudiantes argentinos de 18 a 37 años]]></article-title>
<article-title xml:lang="en"><![CDATA[Estimated glomerular filtration rate: analysis of the agreement between the CKD-EPI-09, CKD-EPI-21 and EKFC equations in a sample of Argentinean students aged 18 to 37 years old]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brissón]]></surname>
<given-names><![CDATA[Cecilia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cuestas]]></surname>
<given-names><![CDATA[Verónica]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernández]]></surname>
<given-names><![CDATA[Verónica]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Minella]]></surname>
<given-names><![CDATA[Priscila Prono]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Beizarena]]></surname>
<given-names><![CDATA[Rosina Bonifacino]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bartolomé]]></surname>
<given-names><![CDATA[Jimena]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Denner]]></surname>
<given-names><![CDATA[Susana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sobrero]]></surname>
<given-names><![CDATA[María Silvina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Colussi]]></surname>
<given-names><![CDATA[Vanesa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Follonier]]></surname>
<given-names><![CDATA[Adriana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brissón]]></surname>
<given-names><![CDATA[María Eugenia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Broguet]]></surname>
<given-names><![CDATA[Cristhian]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marsili]]></surname>
<given-names><![CDATA[Silvia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional del Litoral Facultad de Bioquímica y Ciencias Biológicas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional de Lanús Departamento de Planificación y Políticas Públicas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Nacional del Litoral Facultad de Ciencias Médicas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2025</year>
</pub-date>
<volume>12</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S2500-50062025000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S2500-50062025000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S2500-50062025000200007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Contexto: En el año 2012, se recomendó calcular la tasa de filtración glomerular estimada (TF-Ge) mediante CKD-EPI (CKD-EPI-09), la cual actualmente fue reemplazada por CKD-EPI-21, sin término referido a raza y con nuevos coeficientes; y, en el año 2020, se propuso la ecuación EKFC.  Objetivo: Evaluar el comportamiento de CKD-EPI-09, CKD-EPI-21 y EKFC en jóvenes, además de sus diferencias y su concordancia en la asignación a las categorías G de la TFG.  Métodología: Estudio analítico aprobado por el Comité Asesor de Ética y Seguridad de la Investigación de la Facultad de Bioquímica y Cs. Biológicas de la Universidad Nacional del Litoral, el cual contó con una muestra de 189 voluntarios, entre 18 y 37 años, y caucásicos. Sus niveles de creatininemia fueron medidos por el método Jaffé cinético trazable a Isotopic Dilution Mass Spectroscopy y se usó el programa MedCalc para el tratamiento estadístico de los datos.  Resultados: Las TFGe por CKD-EPI-21 fueron mayores que por CKD-EPI-09 y EKFC. La media de las diferencias (mL/min/1,73m2) fue (CKD-EPI-09 - CKD-EPI-21) = -2,28; (EKFC - CKD-EPI-21) = -12,54; (EKFC - CKD-EPI-09) = -10,25. En la asignación a las categorías G, el mejor índice kappa en esta asignación correspondió a CKD-EPI-09 vs. CKD-EPI-21; hubo recategorización de G2 por CKD-EPI-09 a G1 por CKD-EPI-21 (4,2 %), de G2 por EKFC a G1 por CKD-EPI-21 (21,2 %) y de G2 por EKFC a G1 por CKD-EPI-09 (16,9 %); las recategorizaciones por sexo se dieron en igual sentido.  Conclusiones: Las diferencias por CKD-EPI-21 se debieron, exclusivamente, al cambio de coeficientes en edad, sexo y creatininemia. La TFGe con CKD-EPI-21 aumentó levemente la estimada por CKD-EPI-09, siendo su diferencia con EKFC, la mayor. La concordancia en la asignación a categoría G fue considerable y casi perfecta entre ambas CKD-EPI y menor entre los otros estimadores. La recategorización de CKD-EPI-21 vs. CKD-EPI-09 fue del 4,0%, de G2 a G1, y hubo porcentajes mayores en G2 por EKFC en su recategorizaron a G1 por ambas CKD-EPI. Como recomendación, sería importante validar las ecuaciones frente a un método de referencia para seleccionar la más adecuada para su uso clínico.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Background: In 2012, it was recommended to estimate the glomerular filtration rate (eGFR) using CKD-EPI (CKD-EPI-09). Currently replaced by CKD-EPI-21, without a term referring to race and with new coefficients. In 2020 the EKFC equation was proposed.  Purpose: To evaluate the behavior of CKD-EPI-09, CKD-EPI-21 and EKFC in young people, differences and agreement in the assignment to G categories of TFG.  Methodology: Analytical study approved by the Ethics Committee. Sample: 189 volunteers, 18-37 years old. Caucasians. Creatininemia: kinetic Jaffé method traceable to Isotopic Dilution Mass Spectroscopy. Program: MedCalc.  Results: The GFR estimated by CKD-EPI-21 was higher than that by CKD-EPI-09 and EKFC. Mean of the differences (mL/min/1.73m2): (CKD-EPI-09- CKD-EPI-21)= -2.28; (EKFC- CKD-EPI-21)= -12.54; (EKFC- CKD-EPI-09)= -10.25. Assignment to G categories: the best kappa index in assignment to category G corresponded to CKD-EPI- 09 vs. CKD-EPI-21. Recategorization: from G2 by CKD-EPI-09 to G1 by CKD-EPI-21 and EKFC: 4.2 % and 21.2 % respectively; from G2 by EKFC to G1 by CKD-EPI-09: 16.9 %; by sex: in the same sense.  Conclusions: The differences by CKD-EPI-21 are exclusively due to the change in coefficients in age, sex and creatininemia. The eGFR with CKD-EPI-21 slightly increased that estimated by CKD-EPI-09, its difference with EKFC being the greatest. Agreement in assignment to category G: considerable-almost perfect between both CKD-EPI and lower between the other estimators. The CKD-EPI-21 vs. CKD-EPI-09 was 4 %, from G2 to G1. Higher percentages in G2 by EKFC recategorized G1 by both CKD-EPI. It would be important to validate the equations against a reference method to select the most appropriate one for clinical use.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[tasa de filtración glomerular]]></kwd>
<kwd lng="es"><![CDATA[pruebas de función renal/tendencias]]></kwd>
<kwd lng="es"><![CDATA[técnicas y procedimientos diagnósticos]]></kwd>
<kwd lng="es"><![CDATA[adulto joven]]></kwd>
<kwd lng="es"><![CDATA[creatinina]]></kwd>
<kwd lng="es"><![CDATA[CKD-EPI-09]]></kwd>
<kwd lng="es"><![CDATA[CKD-EPI-21]]></kwd>
<kwd lng="es"><![CDATA[EKFC]]></kwd>
<kwd lng="en"><![CDATA[Glomerular filtration rate]]></kwd>
<kwd lng="en"><![CDATA[Kidney function tests/trends]]></kwd>
<kwd lng="en"><![CDATA[Diagnostic techniques and procedures]]></kwd>
<kwd lng="en"><![CDATA[Young adult]]></kwd>
<kwd lng="en"><![CDATA[Creatinine]]></kwd>
<kwd lng="en"><![CDATA[CKD-EPI-09]]></kwd>
<kwd lng="en"><![CDATA[CKD-EPI-21]]></kwd>
<kwd lng="en"><![CDATA[EKFC]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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