<?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>0864-0300</journal-id>
<journal-title><![CDATA[Revista Cubana de Investigaciones Biomédicas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Invest Bioméd]]></abbrev-journal-title>
<issn>0864-0300</issn>
<publisher>
<publisher-name><![CDATA[ECIMED]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0864-03002021000300007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Componentes principales en el agrupamiento de variables clínicas de la COVID-19 en Santiago de Cuba]]></article-title>
<article-title xml:lang="en"><![CDATA[Principal component analysis in COVID-19 clinical variable clustering in Santiago de Cuba]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zamora Matamoros]]></surname>
<given-names><![CDATA[Larisa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sagaró del Campo]]></surname>
<given-names><![CDATA[Nelsa María]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Valdes García]]></surname>
<given-names><![CDATA[Luis Eugenio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bergues Cabrales]]></surname>
<given-names><![CDATA[Luis Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramirez-Torres]]></surname>
<given-names><![CDATA[Luis Eduardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Oriente  ]]></institution>
<addr-line><![CDATA[ Santiago de Cuba]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Ciencias Médicas de Santiago de Cuba  ]]></institution>
<addr-line><![CDATA[ Santiago de Cuba]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<volume>40</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-03002021000300007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0864-03002021000300007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0864-03002021000300007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: Desde marzo de 2020 Cuba está siendo afectada por el SARS-CoV-2, coronavirus altamente infeccioso y causante de la COVID-19. La COVID-19 presenta un conjunto de síntomas asociados y la evolución de los pacientes puede estar influenciada por la presencia de ciertos antecedentes patológicos personales en el hospedero.  Objetivo:  Identificar mediante componentes principales el agrupamiento de variables clínicas en los pacientes con COVID-19 en la provincia de Santiago de Cuba.  Método: Se realizó un estudio observacional, descriptivo y transversal. La población de estudio se conformó por los 49 casos confirmados con COVID-19 en la provincia de Santiago de Cuba desde el 20 de marzo hasta el 30 de abril del 2020. Se seleccionaron diez variables clínicas: nueve relacionadas con los síntomas y los antecedentes patológicos personales, y una con el estado fallecido. Se aplicó como técnica estadística el análisis de componentes principales.  Resultados: Se obtuvo la representación de las variables en el plano de los dos primeros componentes principales. El primer componente estuvo asociado a los síntomas y el segundo componente a los antecedentes patológicos personales no asociados al aparato respiratorio. Esta representación reveló que en el primer y cuarto cuadrantes del plano se ubicaron las variables que llevaron a una evolución desfavorable de los casos, siendo notable para los que se ubican en el cuarto cuadrante. El segundo y tercer cuadrantes fueron indicadores de la evolución favorable, marcada en el segundo cuadrante.  Conclusiones: El análisis de componentes principales agrupa las variables clínicas y corrobora que los antecedentes patológicos personales tienen el rol esencial en la evolución desfavorable de los pacientes con COVID-19.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction: Since March 2020, Cuba has been affected by SARS-CoV-2, a highly infectious coronavirus that causes COVID-19. In COVID-19 a set of associated symptoms is presented and its evolution can be influenced by the presence of certain personal pathological antecedents in the host.  Objective: To identify through principal components the grouping of clinical variables in cases with COVID-19 in Santiago de Cuba province, Cuba.  Methods: We conducted an observational, descriptive and transversal study. The study population consisted of the 49 confirmed cases with COVID-19 in the province of Santiago de Cuba. Ten clinical variables were selected: nine related to symptoms and personal pathological history, and one to the state &#8220;deceased&#8221;. Principal component analysis was applied as a statistical technique.  Results: Variables were represented at the level of the first two principal components. The first component was associated to symptoms and the second component to personal pathological antecedents not associated to the respiratory system. This representation revealed that variables leading to an unfavorable evolution of cases were located in the first and fourth quadrants of the plane, being remarkable for those located in the fourth quadrant. The second and third quadrants were indicators of the favorable evolution, being marked in the second quadrant.  Conclusions: The principal component analysis groups the clinical variables and corroborates that personal pathological antecedents have an essential role in the unfavorable evolution of patients with COVID-19.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[síntomas]]></kwd>
<kwd lng="es"><![CDATA[antecedentes patológicos personales]]></kwd>
<kwd lng="es"><![CDATA[análisis de componentes principales]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[symptoms]]></kwd>
<kwd lng="en"><![CDATA[personal pathological history]]></kwd>
<kwd lng="en"><![CDATA[analysis of principal components]]></kwd>
</kwd-group>
</article-meta>
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