<?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>0864-0289</journal-id>
<journal-title><![CDATA[Revista Cubana de Hematología, Inmunología y Hemoterapia]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Hematol Inmunol Hemoter]]></abbrev-journal-title>
<issn>0864-0289</issn>
<publisher>
<publisher-name><![CDATA[Centro Nacional de Información de Ciencias MédicasEditorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0864-02892024000100003</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelo predictivo de crisis vasoclusiva en la anemia drepanocítica]]></article-title>
<article-title xml:lang="en"><![CDATA[Predictive model of vasooclusive crisis in the sickle cell desease]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cruz Vadell]]></surname>
<given-names><![CDATA[Haydée]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alonso Geli]]></surname>
<given-names><![CDATA[Yamirka]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lores Guevara]]></surname>
<given-names><![CDATA[Manuel Arsenio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas  ]]></institution>
<addr-line><![CDATA[ Santiago de Cuba]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Centro de Biofísica Médica  ]]></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>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<volume>40</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-02892024000100003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0864-02892024000100003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0864-02892024000100003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: El diagnóstico precoz de la crisis vasoclusiva (CVO) que afecta a pacientes con drepanocitosis resulta un tema no resuelto en la actualidad. No se ha encontrado en la literatura evidencia de modelos que puedan establecer tempranamente índices de riesgo de la CVO para la toma de una conducta terapéutica oportuna en estos pacientes.  Objetivo: Establecer índices de riesgo en pacientes con drepanocitosis, a partir de la formulación de un modelo predictivo del estado vasoclusivo.  Métodos: A partir de un estudio analí tico transversal de casos y controles, realizado en el Centro Hematológico de Santiago de Cuba, se formuló a través de un análisis discriminante, un modelo predictivo del estado de CVO. Se usaron estadígrafos de dispersión (media y desviación estándar) para el establecimiento de índices de riesgo sustentados en él.  Resultados:  Se formuló un modelo predictivo del estado de CVO que incluyó biomarcadores del estado redox como predictores significativos en el paciente con drepanocitosis. El modelo sustentó los índices de riesgo, estratificados en 3 categorías (riesgo menor, moderado y mayor) que fueron asignados a los pacientes y posibilitó su adecuada clasificación.  Conclusiones:  El diseño de un modelo predictivo de CVO y el establecimiento de índices de riesgo en pacientes con drepanocitosis permitió una mejor evaluación. La nueva herramienta diagnóstica que se propone resultaría de gran utilidad en los servicios de Hematología, al facilitar una mejor valoración del estado del paciente con drepanocitosis y un tratamiento profiláctico oportuno que minimice las complicaciones asociadas a este estado.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction: The early diagnosis of vasooclusive crisis affecting sickle cell patients is currently an unresolved issue. In the reviewed literature no models have been found able to establish early risk indices of vasooclusive crisis for taking a timely therapeutic behavior in these patients.  Objective: To establish risk indices in sickle cell patients based on the formulation of a predictive model of vasoocclusive state.  Methods: Based on a cross-sectional case-control analytic study conducted at the Hematological Center of Santiago de Cuba, a predictive model of VOC status was formulated through a discriminant analysis. Dispersion statistics (mean and standard deviation) were used to establish risk indices based on it.  Results: A predictive model of the state of VOC that included biomarkers of the redox state as significant predictors of it in sickle cell patients was formulated. The model supported the risk indices, stratified into 3 categories (lower, moderate and higher risk) that were assigned to the patients and allowed an adequate classification of them.  Conclusions: The design of a predictive model of VOC and the establishment of risk indices in sickle cell patients allowed a better evaluation of them. The new diagnostic tool proposed in the study would be very useful in the Hematology services, by facilitating a better assessment of the sickle cell patient's condition and a timely prophylactic treatment that minimizes the complications associated with this state.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[drepanocitosis]]></kwd>
<kwd lng="es"><![CDATA[crisis vasoclusiva]]></kwd>
<kwd lng="es"><![CDATA[modelo predictivo]]></kwd>
<kwd lng="es"><![CDATA[estado redox]]></kwd>
<kwd lng="es"><![CDATA[biomarcadores]]></kwd>
<kwd lng="en"><![CDATA[sickle cell]]></kwd>
<kwd lng="en"><![CDATA[vasoocclusive crisis]]></kwd>
<kwd lng="en"><![CDATA[predictive model]]></kwd>
<kwd lng="en"><![CDATA[redox state]]></kwd>
<kwd lng="en"><![CDATA[biomarkers]]></kwd>
</kwd-group>
</article-meta>
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