<?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>1561-2953</journal-id>
<journal-title><![CDATA[Revista Cubana de Endocrinología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Endocrinol]]></abbrev-journal-title>
<issn>1561-2953</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1561-29532019000200005</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Valor de corte del índice de conicidad como predictor independiente de disglucemias]]></article-title>
<article-title xml:lang="en"><![CDATA[Cut-off value of the conicity index as an independent predictor of dysglycemia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández Rodríguez]]></surname>
<given-names><![CDATA[José]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mendoza Choqueticlla]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Domínguez Alonso]]></surname>
<given-names><![CDATA[Emma]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz Díaz]]></surname>
<given-names><![CDATA[Oscar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arnold Domínguez]]></surname>
<given-names><![CDATA[Yuri]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez Montenegro]]></surname>
<given-names><![CDATA[Irasel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bosch Pérez]]></surname>
<given-names><![CDATA[Yadira]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[del Busto Mesa]]></surname>
<given-names><![CDATA[Abdel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García Esplugas]]></surname>
<given-names><![CDATA[Dulce María]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez Fernández]]></surname>
<given-names><![CDATA[Lisbet]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas de La Habana Instituto Nacional de Endocrinología ]]></institution>
<addr-line><![CDATA[La Habana ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2019</year>
</pub-date>
<volume>30</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1561-29532019000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1561-29532019000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1561-29532019000200005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  En Cuba no existe consenso acerca del valor del índice de conicidad que debe ser considerado de riesgo para identificar disglucemias.  Objetivos:  Determinar el punto de corte del índice de conicidad como predictor de disglucemia en ambos sexos.  Métodos:  Estudio descriptivo transversal con 975 personas (523 mujeres y 452 hombres), que asistieron a consulta externa del Instituto Nacional de Endocrinología por sospecha de diabetes mellitus entre abril de 2008 y abril de 2013. Se les realizó interrogatorio, examen físico y estudios complementarios (prueba de tolerancia oral a la glucosa, insulinemia en ayunas, lípidos y ácido úrico). Se utilizó para el procesamiento estadístico el coeficiente de correlación de Pearson, análisis de regresión logística y el análisis de curvas Receiver Operator Characteristic.  Resultados:  En el sexo femenino se observó una correlación directamente proporcional y significativa entre el índice de conicidad y las variables glucemia en ayunas y a las 2 h, insulinemia en ayunas, colesterol, triglicéridos, ácido úrico y el índice &#8220;homeostasis model assessment of insulin resistance&#8221;. En el sexo masculino se observó una correlacióndirectamente proporcional y significativa entre el índice de conicidad y las variables estudiadas, excepto con los triglicéridos. El índice de conicidad tuvo su mayor poder predictor de disglucemia con un punto de corte de 1,18 para las mujeres y 1,20 en hombres.  Conclusiones:  El punto de corte óptimo del índice de conicidad como predictor de disglucemia fue de 1,18 para las mujeres y 1,20 para los hombres; es decir que tuvo un buen poder predictivo de disglucemias en el sexo femenino, no así en el masculino.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  In Cuba, there is no consensus about the value of the conicity index that should be considered as risk to identify dysglycemia.  Objective:  To determine the cut-off point of conicity index as a predictor of dysglycemia in both sexes.  Methods:  Cross-sectional descriptive study was conducted with 975 people (523 women and 452 men), who attended an outpatient consultation at the National Endocrinology Institute for suspected diabetes mellitus from April 2008 to April 2013. Interrogation, physical examination and complementary studies (oral glucose tolerance test, fasting insulinemia, lipids and uric acid) were performed. Pearson's correlation coefficient, logistic regression analysis and Receiver Operator Characteristic curve analysis were used for statistical processing.  Results:  In the female subjects, a directly proportional and significant correlation was observed between the conicity index and the fasting blood glucose variables and at 2 h, fasting insulinemia, cholesterol, triglycerides, uric acid and the index homeostasis model assessment of insulin resistance. In the male subjects, a directly proportional and significant correlation was observed between the conicity index and the variables studied, except with triglycerides. The conicity index had its highest predictive power of dysglycemia with a cut-off point of 1.18 in women and 1.20 in men.  Conclusions: The optimal cut-off point of conicity index as a predictor of dysglycemia was 1.18 for women and 1.20 for men; that is to say, it was a good predictor of dysglycemias in the female subjects, but not so for male subjects.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[obesidad]]></kwd>
<kwd lng="es"><![CDATA[grasa abdominal]]></kwd>
<kwd lng="es"><![CDATA[índice de conicidad]]></kwd>
<kwd lng="es"><![CDATA[disglucemia]]></kwd>
<kwd lng="en"><![CDATA[obesity]]></kwd>
<kwd lng="en"><![CDATA[abdominal fat]]></kwd>
<kwd lng="en"><![CDATA[conicity index]]></kwd>
<kwd lng="en"><![CDATA[dysglycemia]]></kwd>
</kwd-group>
</article-meta>
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