<?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>1025-0255</journal-id>
<journal-title><![CDATA[Revista Archivo Médico de Camagüey]]></journal-title>
<abbrev-journal-title><![CDATA[Arch méd Camagüey]]></abbrev-journal-title>
<issn>1025-0255</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas de Camagüey]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1025-02552023000100079</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Diseño y validación de riesgo de síndrome bajo gasto cardíaco en la cirugía valvular]]></article-title>
<article-title xml:lang="en"><![CDATA[Design and validation of risk of low cardiac output syndrome in valve surgery]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosabal-García]]></surname>
<given-names><![CDATA[Yoandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Infante]]></surname>
<given-names><![CDATA[Yaimet]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosales-Guibert]]></surname>
<given-names><![CDATA[Eddy Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Turro-Mesa]]></surname>
<given-names><![CDATA[Lucia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas Hospital Docente Saturnino Lora Centro de Cardiología y Cirugía Cardiovascular]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Ciencias Médicas Facultad de Estomatología Departamento de Informática Médica]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Ciencias Médicas Hospital Docente Clínico Quirúrgico Joaquín Castillo Duany Servicio de Cardiología]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<volume>27</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1025-02552023000100079&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1025-02552023000100079&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1025-02552023000100079&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  La incidencia del síndrome bajo gasto cardíaco postoperatorio es variable en las distintas series publicadas, desde 4 % hasta 15 %, con una mortalidad que se aproxima al 20 %. Si bien en enfermos mayores de 70 años el síndrome puede estar presente hasta en un 63 %, a pesar del desarrollo de mejores técnicas de cardioprotección y cuidados postoperatorios, la incidencia de este síndrome en poblaciones de alto riesgo no se ha modificado en una proporción significativa.  Objetivo: Diseñar y validar un modelo predictivo de síndrome de bajo gasto cardíaco postoperatorio a través de factores de riesgo.  Métodos:  Se realizó un estudio analítico de casos y controles en pacientes con síndrome de bajo gasto cardíaco posoperatorio, atendidos en el Centro de Cardiología y Cirugía Cardiovascular del Hospital Provincial Docente Saturnino Lora de la provincia Santiago de Cuba, en un periodo 2019-2021. Se empleó la regresión logística con ajustes para obtener el modelo.  Resultados:  Los factores de riesgo predictores de mayor valor fue edad &gt; 65 años, función de ventrículo derecho disminuida, el tiempo de pinzamiento aórtico, sangrado postoperatorio que fueron los que arrojó el modelo de regresión logística. Se realizó su validación interna por división de datos.  Conclusiones: El modelo predictivo elaborado a partir de la regresión logística quedó compuesto por los predictores: edad &gt; 65 años, el tiempo de pinzamiento aórtico &gt; 90 minutos y el sangrado posoperatorio prolongado; presentó buen ajuste y poder discriminante, sobre todo valor predictivo positivo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  The incidence of postoperative low cardiac output syndrome is variable in the different published series, from 4% to 15%, with a mortality approaching 20%. Although in patients over 70 years of age the syndrome may be present in up to 63%, despite the development of better cardioprotection techniques and postoperative care, the incidence of this syndrome in high-risk populations has not changed in a significant proportion.  Objective: To design and validate a predictive model of postoperative low cardiac output syndrome through risk factors.  Methods:  An analytical, case-control study was conducted in patients with postoperative low cardiac output syndrome attended at the Center for Cardiology and Cardiovascular Surgery of the Saturnino Lora Teaching Provincial Hospital in Santiago de Cuba, in the period 2019-2021. Logistic regression with adjustments to obtain the model was used.  Results:  The highest value predictor risk factors are: age &gt; 65 years, decreased right ventricular function, aortic clamping time, postoperative bleeding, which were the ones that yielded the logistic regression model. Internal validation was performed by data division.  Conclusions: The predictive model developed from logistic regression was composed of the predictors: age &gt; 65 years, aortic clamping time &gt; 90 minutes and prolonged postoperative bleeding. It presented good fit and discriminant power, especially positive predictive value.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[GASTO CARDÍACO BAJO]]></kwd>
<kwd lng="es"><![CDATA[FACTORES DE RIESGO DE ENFERMEDAD CARDÍACA]]></kwd>
<kwd lng="es"><![CDATA[CIRUGÍA TORÁCICA]]></kwd>
<kwd lng="es"><![CDATA[PREDICCIÓN]]></kwd>
<kwd lng="es"><![CDATA[EVALUACIÓN EN SALUD]]></kwd>
<kwd lng="en"><![CDATA[CARDIAC OUTPUT]]></kwd>
<kwd lng="en"><![CDATA[HEART DISEASE RISK FACTORS]]></kwd>
<kwd lng="en"><![CDATA[THORACIC SURGERY]]></kwd>
<kwd lng="en"><![CDATA[FORECASTING]]></kwd>
<kwd lng="en"><![CDATA[HEALTH EVALUATION]]></kwd>
</kwd-group>
</article-meta>
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