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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijcs</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Cardiovascular Sciences</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Int. J. Cardiovasc. Sci.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2359-4802</issn>
      <issn pub-type="epub">2359-5647</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id specific-use="scielo-v3" pub-id-type="publisher-id">TrQZ9KSJtpmXjLRvPfPhVGJ</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S2359-56472020000600604</article-id>
      <article-id pub-id-type="publisher-id">ijcs.20200283</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20200283</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Editorial</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Lung Ultrasound in COVID 19 Outbreak: Can we Reduce the Burden from the Overloaded CT Departments?</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <contrib-id contrib-id-type="orcid">0000-0002-6377-8069</contrib-id>
          <name>
            <surname>Carvalho</surname>
            <given-names>Filipe Penna de</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="editor">
          <contrib-id contrib-id-type="orcid">0000-0001-7046-8707</contrib-id>
          <name>
            <surname>Felix</surname>
            <given-names>Alex dos Santos</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Am&#233;ricas Servi&#231;os M&#233;dicos</institution>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Am&#233;ricas Servi&#231;os M&#233;dicos, Rio de Janeiro, RJ &#8211; Brazil.</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Diagn&#243;sticos da America SA</institution>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Diagn&#243;sticos da America SA (DASA), Rio de Janeiro, RJ &#8211; Brazil.</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution content-type="orgname">Cl&#237;nica S&#227;o Vicente</institution>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Cl&#237;nica S&#227;o Vicente, Rio de Janeiro, RJ &#8211; Brazil.</institution>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution content-type="orgname">Instituto Nacional de Cardiologia</institution>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Instituto Nacional de Cardiologia, Rio de Janeiro, RJ &#8211; Brazil.</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Mailing Address: Filipe Carvalho</bold>, Avenida Ataulfo de Paiva, 669. Postal Code: <postal-code>22640-102</postal-code>, Leblon, Rio de Janeiro, RJ &#8211; Brazil. E-mail: <email>filipepenna@me.com</email> </corresp>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>25</day>
        <month>11</month>
        <year>2020</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <season>Nov-Dec</season>
        <year>2020</year>
      </pub-date>
      <volume>33</volume>
      <issue>6</issue>
      <fpage>604</fpage>
      <lpage>605</lpage>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
        </license>
      </permissions>
      <kwd-group xml:lang="en">
        <title>Keywords</title>
        <kwd>COVID-19/complications, Pandemics, Acute Failure Respiratory</kwd>
        <kwd>Morbidity</kwd>
        <kwd>Mortality</kwd>
        <kwd>Pleural Diseases/Diagnosis</kwd>
        <kwd>Critic care</kwd>
        <kwd>Ultrasonography/methods</kwd>
        <kwd>Computed, Tomography</kwd>
      </kwd-group>
      <counts>
        <fig-count count="0"/>
        <table-count count="0"/>
        <equation-count count="0"/>
        <ref-count count="12"/>
        <page-count count="2"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <p>Since the first descriptions on the use of lung ultrasound (LUS) for bedside evaluation of critically ill patients,<xref ref-type="bibr" rid="B1"><sup>1</sup></xref> important publications have underscored the utility of LUS for the detection of a wide array of pulmonary and pleural diseases, as well as for the differential diagnosis of acute respiratory failure,<xref ref-type="bibr" rid="B2"><sup>2</sup></xref> proving to be an important tool for a point-of-care based examination and an extended resource for examining critical patients, cited by many as the &#8220;new stethoscope&#8221;.<xref ref-type="bibr" rid="B3"><sup>3</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B4"><sup>4</sup></xref> </p>
    <p>The coronavirus disease-2019 (COVID-19) outbreak has emerged as a global health burden since late 2019, challenging healthcare systems around the world due to the constant need for intensive care support and isolation of patients, many of whom evolve with severe hemodynamic involvement, leading to high morbidity and mortality.<xref ref-type="bibr" rid="B5"><sup>5</sup></xref> This critical scenario highlights the importance of appropriateness and best appliance of all diagnostic and therapeutic resources. In this regard, the use of point-of-care ultrasound (POCUS) is proving to be a cost-effective tool for the management of these potentially critical patients, from the initial presentation (triage) to in-hospital management and post-discharge follow-up<xref ref-type="bibr" rid="B6"><sup>6</sup></xref>.</p>
    <p>Chest computed tomography (CT) has a high sensitivity in the detection of findings compatible with COVID 19 pneumonia,<xref ref-type="bibr" rid="B7"><sup>7</sup></xref> and some scores derived from CT-findings have a good correlation with short term outcomes, with a higher mortality in cases of a higher percentage of lobar involvement.<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> Considering the fact that CT scans are not available in all emergency clinics, especially in underdeveloped countries or remote locations, and that, in a pandemic scenario, the sheer number of patients needing evaluation may surpass the actual capacity of the system, alternative diagnostic modalities are a good reinforcement to aid in patient evaluation and severity assessment.</p>
    <p>This issue of the International Journal of Cardiovascular Sciences presents the results of an interesting study entitled &#8220;Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings&#8221; written by Alcantara et al.<xref ref-type="bibr" rid="B9"><sup>9</sup></xref> This study sheds new light on the discussion of this important topic, adding relevant information about the value of LUS for triage of suspected COVID-19 patients examined at the emergency clinic (EC), as compared to CT findings.</p>
    <p>The authors performed LUS in 20 patients admitted to the EC with clinically suspected COVID-19 and registered the number of abnormal segments detected by LUS. Each lung segment was also scored based on the degree of severity of LUS findings and a final summed score was calculated for each patient. The number of affected segments and the summed score was then compared to standardized CT findings.</p>
    <p>Interestingly, patients with a low LUS score (&#8804;1) or number of affected segments (&#8804;1) showed an excellent correlation with minor pulmonary involvement illustrated in the CT scan, thus correctly classifying these patients into a lower risk group. Conversely, more extensive lung abnormalities seen on LUS, defined as the presence of &#8805;3 abnormal segments or a score &gt;7 showed good sensitivity and excellent specificity (81.8% and 100%, respectively) in predicting extensive lung involvement via CT scans (&#8805;6 CT segments), with AUCs of 0.980 for a number of affected segments via LUS and a LUS score of 0.975.</p>
    <p>Characteristic LUS lesions suggestive of COVID-19 pneumonia have been described since the initial stages of the outbreak.<xref ref-type="bibr" rid="B10"><sup>10</sup></xref> The sensitivity of LUS in detecting a alveolo-intersticial pattern in COVID-19 patients was even greater than that detected by CT, as shown in the findings from Yang et al.,<xref ref-type="bibr" rid="B11"><sup>11</sup></xref> demonstrating the potential applicability of this technique to early diagnosis and treatment. A study conducted by Zieleskiewicz et al.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> showed an association of a high LUS score with the use of mechanical ventilation, and with a SpO2/FiO2 ratio below 357, also indicating a prognostic value of LUS findings. A greater extent of pulmonary involvement in the CT scan was correlated with severe COVID-19 presentations (p &lt; 0.0001), CRP levels (p &lt; 0.0001, r = 0.6204), and D-dimer (p &lt; 0.0001, r = 0.6625). An increased risk of mortality was observed in patients with extensive disease, as shown via a CT scan, both in univariate (HR, 8.33; 95% CI, 3.19&#8211;21.73; p &lt; 0.0001) and multivariate (HR, 3.74; 95% CI, 1.10&#8211;12.77; p = 0.0348) analyses.<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> </p>
    <p>Findings from Alcantara et al.<xref ref-type="bibr" rid="B9"><sup>9</sup></xref> adds new insight to this issue by demonstrating the potential power of LUS as a triage tool for COVID-19 in ECs, since LUS showed a good correlation with both minor and extensive pulmonary involvement, as defined via CT scans. Further studies with larger cohorts and external validation are still required to answer whether LUS as a triage tool translates into an improved workflow and a safe hospital discharge for patients in the EC setting.</p>
  </body>
  <back>
    <fn-group>
      <fn fn-type="other" id="fn1">
        <p>
          <italic>Editorial related to the article: Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings</italic>
        </p>
      </fn>
    </fn-group>
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