<?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>2301-1254</journal-id>
<journal-title><![CDATA[Anales de la Facultad de Medicina]]></journal-title>
<abbrev-journal-title><![CDATA[Anfamed]]></abbrev-journal-title>
<issn>2301-1254</issn>
<publisher>
<publisher-name><![CDATA[Universidad de la República. Facultad de Medicina]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2301-12542019000100109</article-id>
<article-id pub-id-type="doi">10.25184/anfamed2019v6n1a4</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Infecciones respiratorias agudas bajas graves en niños menores de 6 meses hospitalizados. Análisis de factores de riesgo de gravedad]]></article-title>
<article-title xml:lang="en"><![CDATA[Low Acute Breathing Respiratory Infections in Children Under 6 Months Hospitalized. Analysis of Risk Factors of Gravity]]></article-title>
<article-title xml:lang="pt"><![CDATA[Baixas infecções respiratórias agudas em crianças menor de 6 meses hospitalizadas. Análise de fatores de risco de gravidade]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Olivera]]></surname>
<given-names><![CDATA[Nancy De]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Giachetto]]></surname>
<given-names><![CDATA[Gustavo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Haller]]></surname>
<given-names><![CDATA[Andrea]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Figueroa]]></surname>
<given-names><![CDATA[Cristina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cavalleri]]></surname>
<given-names><![CDATA[Fiorella]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de la República Facultad de Medicina Clínica Pediátrica C]]></institution>
<addr-line><![CDATA[Montevideo ]]></addr-line>
<country>Uruguay</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de la República Facultad de Medicina Clínica Pediátrica C]]></institution>
<addr-line><![CDATA[Montevideo ]]></addr-line>
<country>Uruguay</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de la República Facultad de Medicina Posgrado de Pediatría]]></institution>
<addr-line><![CDATA[Montevideo ]]></addr-line>
<country>Uruguay</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de la República Facultad de Medicina Posgrado de Pediatría]]></institution>
<addr-line><![CDATA[Montevideo ]]></addr-line>
<country>Uruguay</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidad de la República Facultad de Medicina ]]></institution>
<addr-line><![CDATA[Montevideo ]]></addr-line>
<country>Uruguay</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>6</volume>
<numero>1</numero>
<fpage>109</fpage>
<lpage>129</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_arttext&amp;pid=S2301-12542019000100109&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_abstract&amp;pid=S2301-12542019000100109&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_pdf&amp;pid=S2301-12542019000100109&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen:  Objetivos:  Describir características clínicas y socio ambientales de niños &lt; de 6 meses hospitalizados por infección respiratoria aguda baja (IRAB) y factores de riesgo de gravedad. Metodología: Estudio observacional, transversal, caso-control entre 1/5/14 - 5/8/14. Casos (IRAB grave): necesidad de oxígeno de alto flujo y/o soporte ventilatorio. Controles (IRAB no grave): hospitalizados en cuidados moderados. Se revisaron historias clínicas y entrevistaron a padres. Se excluyeron niños con infección respiratoria intrahospitalaria y comorbilidades.  Variables:  edad, sexo, puntuación de TAL, educación materna, hacinamiento, tabaquismo, prematurez, número de consultas previas al ingreso, demora en la consulta, diagnóstico etiológico al ingreso. Procesamiento datos: software SPSS.  Resultados:  396 niños, 167 casos, 229 controles. Mediana edad (días) casos: 77, controles: 76. Explorando modelos de regresión logística binaria para explicar la presencia de IRAB grave resultaron predictores estadísticamente significativos: número de consultas previas (p=0.035) y diagnóstico etiológico al ingreso (p=0.003).El modelo no fue satisfactorio, solo logró explicar 4,6% de la variabilidad total.  Conclusiones:  Futuros estudios, con muestras más representativas, son necesarios para profundizar en el conocimiento de los factores predictores de gravedad.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Objectives:  Describe clinical characteristics and environmental partner of children under 6 months hospitalized for low acute respiratory infection (ALRI) and explore predictors of severity.  Methodology: Observational, transversal, case-control study between 1/5/14 - 5/8/14. Cases (severe ALRI): Need for high flow oxygen and/or ventilator support. Controls (Alri not severe): hospitalized in moderate care. Clinical histories were reviewed and the parents were interviewed. Children with intrahospital respiratory infection and comorbidity were excluded.  Variables:  Age, sex, TAL score, maternal education, overcrowding, smoking, prematurity, number of pre-admission consultations, delay in consultation, etiologic diagnosis of income. Data processing: SPSS software.  Results:  396 Children, 167 cases, 229 controls. Middle age (days) cases: 77, controls: 76. Exploring binary Logistic regression models to explain the presence of severe ALRI were statistically significant predictors: number of previous consultations (P= 0.035), etiologic diagnosis of admission (P= 0.003). The model was not satisfactory because it only managed to explain 4.6% of the total variability.  Conclusions:  Exploring different statistical models did not find a satisfactory, the total variability explained by the model is very low. It is emphasized that the model did not enter environmental factors considered &#8220;a priori&#8221; relevant (habit of smoking, overcrowding) nor the rest of the variables studied: schooling and maternal age, nutritional status to income, prematurity and factors behavioral as the delay in the consultation. Diagnosis of admission and number of pre-admission consultations were significant. Future studies, with more representative samples, are necessary to deepen the knowledge of the predictive factors of gravity.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo:  Objetivos:  Descrever características clínicas e parceiro ambiental das crianças &lt; de 6 meses hospitalizados para baixa infecção respiratória aguda (IRAB) e para explorar os preditores de severidade.  Metodologia:  observação, transversal, estudo de caso-controle entre 1/5/14 - 5/8/14. Casos (IRAB severo): necessidade para oxigênio do fluxo elevado e/ou sustentação do ventilador. Controlos (IRAB não severos): hospitalizado em cuidados moderados. Histórias clínicas foram revistas e pais foram entrevistados. Foram excluídas as crianças com infecção respiratória intrahospital e comorbidade.  Variáveis:  idade, sexo, TAL pontuação, educação materna, superlotação, tabagismo, prematuridade, número de consultas prévias à admissão, atraso na consulta, diagnóstico etiológico de renda. Processamento de dados: software SPSS.  Resultados:  396 crianças, 167 casos, 229 controles. Idade média (dias) casos: 77; controles: 76. Explorar modelos binários de regressão logística para explicar a presença de IRAB graves foram preditores estatisticamente significativos: número de consultas prévias (p= 0.035) diagnóstico etiológico de admissão (p= 0.003). Modelo não foi satisfatório porque só conseguiu explicar 4,6% da variabilidade total.  Conclusões:  explorar diferentes modelos estatísticos não encontrou um satisfatório, a variabilidade total explicada pelo modelo é muito baixa. O modelo não introduziu factores ambientais considerados &#8220;a priori&#8221; relevantes (hábito de fumar, superlotação) nem o resto das variáveis estudadas: escolaridade e idade materna, estado nutricional para rendimentos, prematuridade e factores comportamental como o atraso na consulta. Diagnóstico de admissão e número de consultas prévias à admissão foram significativos. Estudos futuros, com amostras mais representativas, são necessários para aprofundar o conhecimento dos fatores preditivos da gravidade.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[infección respiratoria aguda baja grave]]></kwd>
<kwd lng="es"><![CDATA[factores de riesgo en niños menores de 6 meses hospitalizados]]></kwd>
<kwd lng="en"><![CDATA[Acute Low Respiratory Infection Severe]]></kwd>
<kwd lng="en"><![CDATA[Risk Factors in Children Under 6 Months Hospitalized]]></kwd>
<kwd lng="pt"><![CDATA[infecção respiratória aguda baixa]]></kwd>
<kwd lng="pt"><![CDATA[grave. Fatores de risco em crianças menores de 6 meses hospitalizadas.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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