<?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>1028-4818</journal-id>
<journal-title><![CDATA[Multimed]]></journal-title>
<abbrev-journal-title><![CDATA[Multimed]]></abbrev-journal-title>
<issn>1028-4818</issn>
<publisher>
<publisher-name><![CDATA[Centro Provincial de Información de Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1028-48182022000200003</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Factores asociados al desarrollo de la cardiopatía hipertensiva en pacientes con enfermedad renal crónica]]></article-title>
<article-title xml:lang="en"><![CDATA[Factors associated with the development of hypertensive heart disease in patients with chronic kidney disease]]></article-title>
<article-title xml:lang="pt"><![CDATA[Fatores associados ao desenvolvimento de cardiopatia hipertensiva em pacientes com doença renal crônica]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fonseca Aguilera]]></surname>
<given-names><![CDATA[Ariel Arnoldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Naranjo Flores]]></surname>
<given-names><![CDATA[Liannys Lidia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez Figueredo]]></surname>
<given-names><![CDATA[Sandra Amalia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Suárez Quesada]]></surname>
<given-names><![CDATA[Alexis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cordové García]]></surname>
<given-names><![CDATA[Yaimara]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas de Granma Hospital General Provincial Carlos Manuel de Céspedes ]]></institution>
<addr-line><![CDATA[Bayamo Granma]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1028-48182022000200003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1028-48182022000200003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1028-48182022000200003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  la enfermedad renal crónica y la hipertensión arterial constituyen un problema de salud pública. La cardiopatía hipertensiva está dentro del espectro de complicaciones por estas dos entidades nosológicas.  Objetivo:  identificar la influencia de los diferentes factores de riesgo para el desarrollo de la cardiopatía hipertensiva en pacientes con diagnóstico de enfermedad renal crónica.  Métodos: se realizó un estudio de casos y testigos, en pacientes que ingresaron en los servicios de Medicina Interna y de Nefrología, así como consulta externa de HTA del Hospital General Provincial &#8220;Carlos Manuel de Céspedes&#8221; de Bayamo en el periodo comprendido desde el 1ro de enero de 2019 al 31 de marzo de 2021.  Resultados:  el modelo de regresión logística binaria ajustado por el método paso a paso hacia atrás, puso de manifiesto que con solo 11 variables era suficiente para un ajuste adecuado del modelo y capacidad discriminativa adecuada (área bajo la curva: 0,945). Los factores sobresalientes fueron en orden de importancia el no control de la HTA, el tiempo de evolución y la proteína C reactiva.  Conclusiones: se obtiene un modelo para predecir el desarrollo de la cardiopatía hipertensiva en pacientes con enfermedad renal crónica, con capacidad discriminativa adecuada a partir de factores de riesgo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  chronic kidney disease and arterial hypertension constitute a public health problem. Hypertensive heart disease is within the spectrum of complications due to these two nosological entities.  Objective:  to identify the influence of the different risk factors for the development of hypertensive heart disease in patients diagnosed with chronic kidney disease.  Methods:  a case-control study was carried out in patients who were admitted to the Internal Medicine and Nephrology services, as well as HTA outpatients of the "Carlos Manuel de Céspedes" Provincial General Hospital of Bayamo in the period from the 1st from January 2019 to March 31, 2021.  Results:  the binary logistic regression model adjusted by the backward stepwise method showed that only 11 variables were sufficient for an adequate fit of the model and adequate discriminative capacity (area under the curve: 0.945). The outstanding factors were, in order of importance, the non-control of hypertension, the time of evolution and the C-reactive protein.  Conclusions:  a model is obtained to predict the development of hypertensive heart disease in patients with chronic kidney disease, with adequate discriminative capacity based on risk factors.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO  Introdução:  a doença renal crônica e a hipertensão arterial constituem um problema de saúde pública. A cardiopatia hipertensiva está dentro do espectro de complicações decorrentes dessas duas entidades nosológicas.  Objetivo:  identificar a influência dos diferentes fatores de risco para o desenvolvimento de cardiopatia hipertensiva em pacientes diagnosticados com doença renal crônica.  Métodos:  foi realizado um estudo caso-controlo em doentes que deram entrada nos serviços de Medicina Interna e Nefrologia, bem como em ambulatórios de ATS do Hospital Geral Provincial "Carlos Manuel de Céspedes" de Bayamo no período de 1 de Janeiro de 2019 até 31 de março de 2021.  Resultados:  o modelo de regressão logística binária ajustado pelo método backward stepwise mostrou que apenas 11 variáveis &#8203;&#8203;foram suficientes para um ajuste adequado do modelo e capacidade discriminativa adequada (área sob a curva: 0,945). Os fatores de destaque foram, em ordem de importância, o não controle da hipertensão, o tempo de evolução e a proteína C reativa.  Conclusões:  obtém-se um modelo para predizer o desenvolvimento de cardiopatia hipertensiva em pacientes com doença renal crônica, com capacidade discriminativa adequada com base em fatores de risco.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Hipertensión arterial]]></kwd>
<kwd lng="es"><![CDATA[Enfermedad renal crónica]]></kwd>
<kwd lng="es"><![CDATA[Cardiopatía hipertensiva]]></kwd>
<kwd lng="en"><![CDATA[Arterial hypertension]]></kwd>
<kwd lng="en"><![CDATA[Chronic kidney disease]]></kwd>
<kwd lng="en"><![CDATA[Hypertensive heart disease]]></kwd>
<kwd lng="pt"><![CDATA[Hipertensão arterial]]></kwd>
<kwd lng="pt"><![CDATA[Doença renal crônica]]></kwd>
<kwd lng="pt"><![CDATA[Cardiopatia hipertensiva]]></kwd>
</kwd-group>
</article-meta>
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