<?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>2221-2434</journal-id>
<journal-title><![CDATA[Revista Finlay]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Finlay]]></abbrev-journal-title>
<issn>2221-2434</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas de Cienfuegos. Centro Provincial de información de Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2221-24342023000300354</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Nuevos factores predictivos en el desarrollo de diabetes mellitus tipo 2]]></article-title>
<article-title xml:lang="en"><![CDATA[New Predictive Factors in the Development of Type 2 Diabetes Mellitus]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González Hernández]]></surname>
<given-names><![CDATA[Maurio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Hospital Militar Universitario de Holguín  ]]></institution>
<addr-line><![CDATA[Holguín ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<volume>13</volume>
<numero>3</numero>
<fpage>354</fpage>
<lpage>359</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2221-24342023000300354&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2221-24342023000300354&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2221-24342023000300354&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Fundamento: la diabetes mellitus es una enfermedad que tiene un impacto negativo en la sociedad en general y en la salud en particular, debido los altos costos que ella provoca tanto a nivel institucional como en las personas.  Objetivo: identificar nuevos factores predictivos para el desarrollo de la diabetes mellitus tipo 2.  Método: se realizó un estudio de cohorte que incluyó a todos los pacientes atendidos en las consultas de endocrinología del área de salud Pedro Díaz Coello de Holguín. Para el análisis estadístico se empleó el programa SPSS, versión 25,0 y se aplicaron las técnicas de regresión logística binaria y descriptiva. Se estableció la relación de las variables de análisis con la variable de salida a través del Odd Ratio (OR), el cual fue calculado para cada una de estas, con un índice de coeficiente de 95 %.  Resultados  el 36,5 % de los pacientes fueron diagnosticados con diabetes mellitus tipo 2. Las variables explicaron el 74,9 % de la variable de salida. Las variables utilizadas en la serie fueron estadísticamente significativas. Las variables utilizadas presentaron un Odd Ratio mayor que 1 y una significancia menor de 0,05, lo que ayudó a identificar a los pacientes con riesgo de padecer diabetes mellitus de tipo 2.  Conclusiones:  entre los nuevos factores predictivos para el desarrollo de la diabetes mellitus tipo 2 están: el valor de la microalbuminuria, la enfermedad periodontal, los trastornos de la sensibilidad en miembros inferiores, los antecedentes patológicos de hipotiroidismo y las alteraciones del fondo de ojo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Background: diabetes mellitus is a disease that has a negative impact on society in general and on health in particular, due to the high costs it causes both at the institutional level and in people.  Objective: to identify new predictive factors for the development of type 2 diabetes mellitus.  Method: a cohort study was carried out that included all the patients seen in the endocrinology clinics of the Pedro Díaz Coello health area in Holguín. For the statistical analysis, the SPSS program, version 25.0 was used, and the binary and descriptive logistic regression techniques were applied. The relationship of the analysis variables with the output variable was established through the Odd Ratio (OR), which was calculated for each of these, with a coefficient index of 95 %.  Results: 36.5 % of the patients were diagnosed with type 2 diabetes mellitus. The variables explained 74.9 % of the output variable. The variables used in the series were statistically significant. The variables used presented an Odd Ratio greater than 1 and a significance of less than 0.05, which helped to identify patients at risk of suffering from type 2 diabetes mellitus.  Conclusions: among the new predictive factors for the development of type 2 diabetes mellitus are: the value of microalbuminuria, periodontal disease, sensitivity disorders in the lower limbs, a pathological history of hypothyroidism and eye fundus alterations.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[diabetes mellitus]]></kwd>
<kwd lng="es"><![CDATA[diabetes mellitus de tipo 2]]></kwd>
<kwd lng="es"><![CDATA[factores de riesgo]]></kwd>
<kwd lng="en"><![CDATA[diabetes mellitus]]></kwd>
<kwd lng="en"><![CDATA[type 2 diabetes mellitus]]></kwd>
<kwd lng="en"><![CDATA[risk factors]]></kwd>
</kwd-group>
</article-meta>
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