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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Dominio científico: Coronavirus</text>
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    <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <name>Dublin Core</name>
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        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
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            <elementText elementTextId="59126">
              <text>Initial findings in chest X-rays as predictors of worsening lung infection in patients with COVID-19: correlation in 265 patients.</text>
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          <name>Creator</name>
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            <elementText elementTextId="59127">
              <text>D J Petite Felipe, M I Rivera Campos, J San Miguel Espinosa, Y Malo Rubio, J C Flores Quan, M V Cuartero Revilla</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>We aimed to analyze the relationship between the initial chest X-ray findings in patients with severe acute respiratory syndrome due to infection with SARS-CoV-2 and eventual clinical worsening and to compare three systems of quantifying these findings. This retrospective study reviewed the clinical and radiological evolution of 265 adult patients with COVID-19 attended at our center between March 2020 and April 2020. We recorded data related to patients' comorbidities, hospital stay, and clinical worsening (admission to the ICU, intubation, and death). We used three scoring systems taking into consideration 6 or 8 lung fields (designated 6A, 6B, and 8) to quantify lung involvement in each patient's initial abnormal chest X-ray and to classify its severity as mild, moderate, or severe, and we compared these three systems. We also recorded the presence of alveolar opacities and linear opacities (fundamentally linear atelectasis) in the first chest X-ray with pathologic findings. In the χ2 analysis, moderate or severe involvement in the three classification systems correlated with hospital admission (p=0.009 in 6A, p=0.001 in 6B, and p=0.001 in 8) and with death (p=0.02 in 6A, p=0.01 in 6B, and p=0.006 in 8). In the regression analysis, the most significant associations were 6B with alveolar involvement (OR 2.3; 95%CI 1.1.-4.7; p=0.025;) and 8 with alveolar involvement (OR 2.07; 95% CI 1.01.-4.25; p=0.046). No differences were observed in the ability of the three systems to predict clinical worsening by classifications of involvement in chest X-rays as moderate or severe. Moderate/severe extension in the three chest X-ray scoring systems evaluating the extent of involvement over 6 or 8 lung fields and the finding of alveolar opacities in the first abnormal X-ray correlated with mortality and the rate of hospitalization in the patients studied. No significant difference was found in the predictive ability of the three classification systems proposed.</text>
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          <name>Date</name>
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              <text>2021</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>covid-19, SARS-CoV-2, radiology, chest x-ray, Alveolar opacities, Atelectasia laminar, Linear atelectasis, Opacidad alveolar, Radiografía de tórax</text>
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        <element elementId="43">
          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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            <elementText elementTextId="59131">
              <text>10.1016/j.rx.2021.03.004</text>
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        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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            <elementText elementTextId="59132">
              <text>Radiologia</text>
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