<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Universidad Simon Bolivar</PublisherName>
      <JournalTitle>Revista Ciencia e Innovación en Salud</JournalTitle>
      <PubDate PubStatus="ppublish">
        <Year>2020</Year>
        <Month>Jun</Month>
        <Day>19</Day>
      </PubDate>
    </Journal>
    <ArticleTitle/>
    <FirstPage>1</FirstPage>
    <ELocationID EIdType="doi">10.17081/innosa 78</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <author>
        <FirstName>Omar Danilo</FirstName>
        <Email/>
        <AffiliationInfo>
          <Affiliation>Universidad Nacional de Colombia. Facultad de Medicina, Bogotá, Colombia</Affiliation>
        </AffiliationInfo>
      </author>
      <author>
        <FirstName>Olga Lucia Pinzón-Espitia</FirstName>
        <Email/>
        <AffiliationInfo>
          <Affiliation>Universidad Nacional de Colombia. Facultad de Medicina, Bogotá, Colombia / Hospital Universitario Mayor Méderi. Universidad del Rosario. Bogotá, Colombia</Affiliation>
        </AffiliationInfo>
      </author>
      <author>
        <FirstName>Laura Brigitte Aya-Ramos</FirstName>
        <Email/>
        <AffiliationInfo>
          <Affiliation>Instituto Roosevelt. Bogotá, Colombia</Affiliation>
        </AffiliationInfo>
      </author>
    </AuthorList>
    <Abstract>
      <AbstractText label="SUMMARY">To identify the existing correlations between the nutritional risk score based on STRONGkids screening and the medical diagnosis at admission and Hospital stay.</AbstractText>
      <AbstractText label="METHODS">retrospective analytical study, performed with 1231 nutritional screening records done to pediatric patients hospitalized in an institution of medium complexity and their correlations based on the revision of database with information related to the medical diagnosis at the time of admission and hospital stay measured on days. Results were statistically analyzed by means of the Chi Square test for Independence. The intensity of the association was then measured through the calculation of the contingency coefficient and Cramer’s v coefficient. Finally, the description of the correlations was done through the correspondence analysis tool.</AbstractText>
      <AbstractText label="RESULTS"/>
      <AbstractText label="DISCUSSION">The data obtainedthrough the analysis show a moderate correlation between the nutritional risk variables, hospital stay, and medical diagnosis at admission; demonstrating that the highest nutritional risk scores are related with longer hospital stays.</AbstractText>
      <AbstractText label="CONCLUSIONS">The existing correlation between a higher nutritional risk score and a prolonged hospital stay, supports the need for implementation of tools that help to early identify patients in need of a timely nutritional intervention thus lowering patient complications and healthcare costs.</AbstractText>
    </Abstract>
    <CopyrightInformation>Creative Commons CC-BY 4.0</CopyrightInformation>
    <ObjectList/>
  </Article>
</ArticleSet>