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          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">ROC curve for <span class="elsevierStyleSmallCaps">d</span>-dimer in hospitalized COVID patients with supected PE&#46; The area under the curve was 0&#46;885 &#40;95&#37; CI 0&#46;807&#8211;0&#46;963&#41;&#46; The best cut-off value seemed to be 1274<span class="elsevierStyleHsp" style=""></span>ng&#47;ml&#44; corresponding to a sensitivity of 100&#37; &#40;95&#37; CI 79&#46;6&#8211;100&#37;&#41; and a specificity of 61&#46;3&#37; &#40;95&#37; CI 50&#46;3&#8211;61&#46;2&#37;&#41;&#46;</p>"
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1097 patients were hospitalized for COVID-19 at Bichat Hospital&#44; one of the reference centers for infectious diseases in Paris&#46; Of the 157 patients who had CTPA&#44; all with positive SARS-CoV-2 PCR results&#44; 30 were hospitalized in the ICU&#44; with 23 &#40;76&#46;7&#37;&#41; requiring invasive mechanical ventilation&#46; The remaining 127 patients were hospitalized in the general ward for serious COVID-19 manifestations but without critical illness&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">For patients hospitalized for COVID-19&#44; the general policy at our institution is to recommend use of anticoagulant therapy based on low-molecular-weight heparin or unfractionated heparin&#44; the intensity varying from low-prophylactic doses to curative treatment via high-prophylactic doses according to the severity of the respiratory condition&#44; the presence of obesity or other risks factors of VTE&#46; In all cases&#44; CTPA was performed to exclude the responsibility of superimposed PE in patients hospitalized for severe COVID-19 and presenting stagnation or worsening of their respiratory condition&#46; CT-angiography scans were acquired with 64-row or greater scanners after injection of 70&#8211;90<span class="elsevierStyleHsp" style=""></span>mL of contrast material with a high concentration of iodine&#46; Imaging was performed with use of a bolus-tracking technique and a threshold of 200 HU in the main pulmonary artery&#46; Images were reconstructed with a slice thickness of 1<span class="elsevierStyleHsp" style=""></span>mm in mediastinal and parenchymal windows&#46; We retrospectively analyzed the CTPA results as well as the clinical and biological data for the patients&#46; The quality of the examinations was sufficient to assess the presence or absence of PE up to the segmental level&#46; One reader &#40;AK&#44; with 25 years of experience&#41; classified PE location as proximal&#44; lobar&#44; or segmental&#46; The study received approval from the ethics committee of the French Language Society of Pulmonology &#8220;Comit&#233; d&#8217;&#233;valuation des protocoles de recherche observationnels &#40;CEPRO&#41;&#8221;&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The incidence of PE detected by CTPA in the 157 patients was 27&#37; &#40;8 of 30&#41; in ICU patients and 12&#37; &#40;15 of 127&#41; in ward patients&#46; PE was proximal&#44; lobar&#44; segmental&#44; and bilateral in 0&#37;&#44; 12&#46;5&#37;&#44; 87&#46;5&#37;&#44; and 25&#37; and 7&#37;&#44; 33&#37;&#44; 60&#37;&#44; and 47&#37; of cases in the ICU and general ward&#44; respectively&#46; CTPA revealed a concomitant evidence of worsening of pneumonia in 75&#37; and 67&#37; of ICU and ward patients with PE&#44; respectively&#46; When using an already published CT severity index &#40;range 0&#8211;25&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> the CT score was 14 on the initial CT and 18 &#91;14&#8211;19&#93; at the time of PE &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;0883&#41;&#46; Interestingly&#44; the CT severity index of patients with and without PE showed no significant difference &#40;18 &#91;14&#8211;19&#93; versus 14&#46;5 &#91;10&#8211;20&#93;&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;2561&#41;&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Clinical and biological data are in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0030" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleSmallCaps">d</span>-Dimers levels were significantly higher in ward patients with PE than those without&#59; there was no difference in ICU patients&#46; Using the age-adjusted <span class="elsevierStyleSmallCaps">d</span>-dimers cut-off levels&#44; the sensitivity&#44; specificity&#44; negative predictive value&#44; and positive predictive value of <span class="elsevierStyleSmallCaps">d</span>-dimers for the diagnosis of PE was 100&#37;&#44; 26&#37;&#44; 100&#37;&#44; and 21&#37; respectively &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; The ROC curve for <span class="elsevierStyleSmallCaps">d</span>-dimer in hospitalized COVID patients with suspected PE is shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0035" class="elsevierStylePara elsevierViewall">Overall&#44; 94&#46;3&#37; of patients received anticoagulant therapy &#40;at least low-prophylactic doses&#41; at the time of CTPA &#40;100&#37; in ICU patients and 93&#37; in ward patients&#41;&#46; For patients with PE&#44; the proportion receiving anticoagulant therapy &#40;at least a low-prophylactic dose&#41; at the time of diagnosis was 100&#37; and 86&#46;7&#37; in the ICU and general ward&#44; respectively&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">There is mounting evidence that COVID-19 patients&#44; particularly critically ill patients&#44; are at increased risk of VTE&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#8211;4&#44;6&#44;7</span></a> The underlying mechanism involves factors related to COVID-19&#44; such as inflammatory state&#44; hypercoagulability&#44; and endothelial damage&#44; along with classical risk factors of VTE &#40;older age&#44; obesity&#44; dehydration&#44; immobilization&#44; mechanical ventilation&#41; which are often present with severe COVID-19&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">A high incidence of PE in COVID-19 patients hospitalized in ICUs has been already reported<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3&#44;4&#44;6&#44;7</span></a> but data in non-ICU patients remain limited&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#8211;9</span></a> Our data confirm the high incidence of PE in COVID-19 patients hospitalized in ICU but also indicate that PE is also frequently observed in COVID-19 patients hospitalized in the general ward&#44; justifying a high degree of awareness by clinicians&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Not surprisingly&#44; we found that COVID-19 is associated with an hyperinflammatory state that contributes to the hypercogulability and in turn to the risk of VTE but the levels of CRP and fibrinogen did not differ between those with and without PE&#46; Overall&#44; <span class="elsevierStyleSmallCaps">d</span>-dimers levels were significantly higher in those with PE than in those without PE&#44; in line with the results of other COVID-19 studies&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;6&#44;8&#8211;10</span></a> However&#44; <span class="elsevierStyleSmallCaps">d</span>-dimers were not able to predict thrombotic events&#44; especially in ICU patients&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">COVID-19 patients hospitalized in general wards because of severe illness are at risk of worsened condition leading&#44; in the most severe cases&#44; to admission to an ICU because of critical symptoms &#40;respiratory failure&#44; shock&#44; multiple organ dysfunction&#41;&#46; Likewise&#44; in the ICU&#44; physicians caring for COVID-19 patients are used to facing a general deterioration&#44; with respiratory symptoms at the forefront&#46; In both cases&#44; progression of pneumonia is most often responsible for the observed worsening of the respiratory condition but the latter could also be related to the occurrence of PE or to PE superimposed on extending pneumonia&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">From a clinical point of view&#44; the fact that&#44; along with the diagnosis of PE&#44; CTPA also demonstrated a worsening of pneumonia in the majority of cases is informative&#46; Performing thoracic CT without angiography instead of CTPA would have led to missing a significant number of embolic events&#46; With worsening or non-improvement in patients hospitalized for COVID-19&#44; our results argue for &#40;1&#41; increased awareness by clinicians of the possible responsibility of superimposed PE&#44; even though progression of pneumonia may also be documented on chest CT&#44; and &#40;2&#41; use of CTPA&#44; whenever possible&#46; New diagnostic techniques of PE have been recently investigated&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> Given the high incidence of PE in hospitalized COVID patients&#44; they could be useful in this setting&#46;</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Ethics approval and consent to participate</span><p id="par0065" class="elsevierStylePara elsevierViewall">The study received approval from the ethics committee of the French Language Society of Pulmonology &#8220;Comit&#233; d&#8217;&#233;valuation des protocoles de recherche observationnels &#40;CEPRO&#41;&#8221;&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Consent for publication</span><p id="par0070" class="elsevierStylePara elsevierViewall">Not applicable&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Availability of data and material</span><p id="par0075" class="elsevierStylePara elsevierViewall">All data are available for reviewers on demand&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Funding</span><p id="par0080" class="elsevierStylePara elsevierViewall">No funding&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Contributions of the authors</span><p id="par0085" class="elsevierStylePara elsevierViewall">VB and HM wrote the manuscript&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">GW provided assistance for statistical analysis&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">XL&#44; JFT&#44; AD&#44; BLJ&#44; JG&#44; SN&#44; NA retrieved the clinical and biological data from the files&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">AK and LS analyzed the CTPAs&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">All the authors have checked the manuscript&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conflict of interest</span><p id="par0110" class="elsevierStylePara elsevierViewall">Dr&#46; Mal reports grants from <span class="elsevierStyleGrantSponsor" id="gs0005">Pfizer</span>&#44; personal fees from Boehringer&#44; non-financial support from Novartis&#44; outside the submitted work&#46; Dr&#46; Timsit reports personal fees from Merck&#44; personal fees from Pfizer&#44; personal fees from Gilead&#44; personal fees from Paratek&#44; personal fees from Medimmune&#44; outside the submitted work&#46; The other authors have no conflicts of interest to declare&#46;</p></span></span>"
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          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">ROC curve for <span class="elsevierStyleSmallCaps">d</span>-dimer in hospitalized COVID patients with supected PE&#46; The area under the curve was 0&#46;885 &#40;95&#37; CI 0&#46;807&#8211;0&#46;963&#41;&#46; The best cut-off value seemed to be 1274<span class="elsevierStyleHsp" style=""></span>ng&#47;ml&#44; corresponding to a sensitivity of 100&#37; &#40;95&#37; CI 79&#46;6&#8211;100&#37;&#41; and a specificity of 61&#46;3&#37; &#40;95&#37; CI 50&#46;3&#8211;61&#46;2&#37;&#41;&#46;</p>"
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          "leyenda" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Data are presented as median &#91;interquartile range&#93; or number &#40;percentage&#41; where appropriate&#46; Groups with and without PE were compared by Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span> test or chi-square test&#44; for quantitative and categorical variables&#44; respectively&#46; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was defined as statistically significant&#46;</p><p id="spar115" class="elsevierStyleSimplePara elsevierViewall">Bold values signifies values are statistically significance&#46;</p>"
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                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>157&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With PE &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>23&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">GW patients</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">127 &#40;80&#46;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">BMI &#40;kg&#47;m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">3</span></span><span class="elsevierStyleItalic">&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">27&#46;08 &#91;24&#46;5&#8211;30&#46;73&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">28&#46;11 &#91;24&#46;52&#8211;33&#46;57&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">History of VTE</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Diabetes</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48 &#40;30&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;26&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42 &#40;31&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;6132&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Dyslipidemia</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37 &#40;23&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;26&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31 &#40;23&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;7579&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Arterial hypertension</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78 &#40;49&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11 &#40;47&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">67 &#40;50&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;8472&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Active malignancy</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;3&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;13&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;1&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;0036&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Smoking status</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Never smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">109&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">91&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;427&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Former smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Active smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Chronic cardiac insufficiency</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10 &#40;6&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;8&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;621&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Chronic respiratory insufficiency</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;0&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;0&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;6777&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Anticoagulant therapy</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No anticoagulant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;5&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;8&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7 &#40;5&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;1232&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Low prophylactic dose&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39 &#40;24&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;21&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34 &#40;25&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>High prophylactic dose&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">90 &#40;57&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10 &#40;43&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">80 &#40;59&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Curative dose&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19 &#40;12&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;26&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;9&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Time between symptoms onset and CTPA &#40;days&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#91;10&#8211;18&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#91;12&#8211;23&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12 &#91;9&#8211;18&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;0164</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Time between hospitalization and CTPA &#40;days&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#91;2&#8211;9&#46;5&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#91;4&#8211;15&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#91;2&#8211;8&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;0134</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Radiological characteristics</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Parenchymal evaluation by comparison with the previous chest CT scan</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Worsening&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">107 &#40;68&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;69&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">91 &#40;67&#46;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;2420&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Stability&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29 &#40;18&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;8&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27 &#40;20&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Improvement&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;3&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;8&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;2&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>NA &#40;no previous CT available&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;10&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;13&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;9&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Biological characteristics</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic"><span class="elsevierStyleSmallCaps">d</span>-Dimers &#40;ng&#47;ml&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1249 &#91;566&#8211;3394&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7638 &#91;2179&#8211;27544&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1064 &#91;497&#46;5&#8211;1767&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">&#60;0&#46;0001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>GW&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1055 &#91;491&#8211;1852&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27544 &#91;7448&#8211;76306&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">870 &#91;478&#8211;1573&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">&#60;0&#46;0001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>ICU&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2179 &#91;1280&#8211;7638&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3898 &#91;1556&#8211;16117&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1747 &#91;1089&#8211;6981&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;3074&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Fibrinogen &#40;g&#47;l&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;17 &#91;4&#46;325&#8211;11&#46;81&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;94 &#91;4&#46;010&#8211;6&#46;675&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;19 &#91;4&#46;34&#8211;6&#46;21&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;9855&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>GW&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;15 &#91;4&#46;335&#8211;6&#46;19&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;94 &#91;3&#46;045&#8211;6&#46;41&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;19 &#91;4&#46;545&#8211;6&#46;14&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;6511&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>ICU&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
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              "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Biological data from samples obtained within 48<span class="elsevierStyleHsp" style=""></span>h before or after CT pulmonary angiography in the ICU and within 5 days before or after CT in the GW&#46;</p>"
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              "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Missing data in ICU&#58; <span class="elsevierStyleSmallCaps">d</span>-dimers <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>3&#44; NT proBNP <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>3&#44; CRP <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#59; missing data in GW&#58; <span class="elsevierStyleSmallCaps">d</span>-dimers <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>59&#44; fibrinogen <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>33&#44; troponin <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>39&#44; NT proBNP <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>39&#44; CRP <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>6&#46;</p> <p class="elsevierStyleNotepara" id="npar0015"><span class="elsevierStyleItalic">Abbreviations</span>&#58; PE&#58; pulmonary embolism&#59; GW&#58; general ward&#44; ICU&#58; intensive care unit&#59; BMI&#58; body mass index&#59; VTE&#58; venous thromboembolism&#59; CTPA&#58; CT pulmonary angiography&#59; H-s troponin&#58; high sensitivity troponin&#59; BNP&#58; brain natriuretic peptide&#59; CRP&#58; C reactive protein&#46;</p>"
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          "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Characteristics of COVID-19 patients with and without pulmonary embolism &#40;PE&#41; hospitalized in the intensive care unit &#40;ICU&#41; or general ward &#40;GW&#41;&#46;</p>"
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        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Data are presented as numbers&#46;</p><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Age-adjusted <span class="elsevierStyleSmallCaps">d</span>-dimers cut-off level &#40;ng&#47;ml&#41; was age multiplied by 10&#46; <span class="elsevierStyleSmallCaps">d</span>-Dimers were considered positive if they were above this threshold&#46;</p><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviation</span>&#58; PE&#58; pulmonary embolism&#46;</p>"
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>157&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">PE &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>23&#41;&nbsp;\t\t\t\t\t\t\n
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Journal Information
Vol. 27. Issue 4.
Pages 348-351 (July - August 2021)
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Vol. 27. Issue 4.
Pages 348-351 (July - August 2021)
Letter to the Editor
Open Access
Pulmonary embolism detected by CT pulmonary angiography in hospitalized COVID-19 patients
Visits
4923
V. Bunela,d,g, L. Sakerb,d,g, N. Ajzenbergc,d,g, J.F. Timsite,d,g, S. Najema,d,g, B. Lortat-Jacobf,d,g, J. Gayc,d,g, G. Weisenburgera,d,g, H. Mala,d,g,
Corresponding author
herve.mal@bch.aphp.fr

Corresponding author.
, A. Khalilb,d,g
a Service de pneumologie B, Hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Inserm UMR1152, Université Paris 7 Denis Diderot, 75018 Paris, France
b Service de radiologie, hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France
c Service d’hématologie, hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France
d Service des maladies infectieuses et tropicales, hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France
e Service de réanimation médicale et infectieuse, hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France
f Service de réanimation chirurgicale, hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France
g Service de médecine interne, hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France
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Tables (2)
Table 1. Characteristics of COVID-19 patients with and without pulmonary embolism (PE) hospitalized in the intensive care unit (ICU) or general ward (GW).
Table 2. Age-adjusted d-dimers for predicting pulmonary embolism in hospitalized COVID-19 patients with suspected pulmonary embolism: contingency table for sensitivity and specificity calculation.
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Dear Editor,

Besides pneumonia, the most frequent serious manifestation of COVID-19, another prominent manifestation is venous thromboembolism (VTE).1 Data on the prevalence/incidence of pulmonary embolism (PE) in COVID-19 are still limited and often focused on patients in intensive care units (ICU).2–4 Moreover, few data are available on the severity of PE and on the severity of parenchymal involvement in those who develop PE. Here, we present our data in 157 consecutive COVID-19 patients, hospitalized at Bichat Hospital, who underwent CT pulmonary angiography (CTPA) for suspected PE.

From March 6 to April 20 2020, 1097 patients were hospitalized for COVID-19 at Bichat Hospital, one of the reference centers for infectious diseases in Paris. Of the 157 patients who had CTPA, all with positive SARS-CoV-2 PCR results, 30 were hospitalized in the ICU, with 23 (76.7%) requiring invasive mechanical ventilation. The remaining 127 patients were hospitalized in the general ward for serious COVID-19 manifestations but without critical illness.

For patients hospitalized for COVID-19, the general policy at our institution is to recommend use of anticoagulant therapy based on low-molecular-weight heparin or unfractionated heparin, the intensity varying from low-prophylactic doses to curative treatment via high-prophylactic doses according to the severity of the respiratory condition, the presence of obesity or other risks factors of VTE. In all cases, CTPA was performed to exclude the responsibility of superimposed PE in patients hospitalized for severe COVID-19 and presenting stagnation or worsening of their respiratory condition. CT-angiography scans were acquired with 64-row or greater scanners after injection of 70–90mL of contrast material with a high concentration of iodine. Imaging was performed with use of a bolus-tracking technique and a threshold of 200 HU in the main pulmonary artery. Images were reconstructed with a slice thickness of 1mm in mediastinal and parenchymal windows. We retrospectively analyzed the CTPA results as well as the clinical and biological data for the patients. The quality of the examinations was sufficient to assess the presence or absence of PE up to the segmental level. One reader (AK, with 25 years of experience) classified PE location as proximal, lobar, or segmental. The study received approval from the ethics committee of the French Language Society of Pulmonology “Comité d’évaluation des protocoles de recherche observationnels (CEPRO)”.

The incidence of PE detected by CTPA in the 157 patients was 27% (8 of 30) in ICU patients and 12% (15 of 127) in ward patients. PE was proximal, lobar, segmental, and bilateral in 0%, 12.5%, 87.5%, and 25% and 7%, 33%, 60%, and 47% of cases in the ICU and general ward, respectively. CTPA revealed a concomitant evidence of worsening of pneumonia in 75% and 67% of ICU and ward patients with PE, respectively. When using an already published CT severity index (range 0–25),5 the CT score was 14 on the initial CT and 18 [14–19] at the time of PE (p=0.0883). Interestingly, the CT severity index of patients with and without PE showed no significant difference (18 [14–19] versus 14.5 [10–20]; p=0.2561).

Clinical and biological data are in Table 1.

Table 1.

Characteristics of COVID-19 patients with and without pulmonary embolism (PE) hospitalized in the intensive care unit (ICU) or general ward (GW).

Variable  Total (n=157)  With PE (n=23)  Without PE (n=134)  p 
GW patients  127 (80.9%)  15 (65.2%)  112 (83.6%)   
ICU patients  30 (19.1%)  8 (34.8%)  22 (16.4%)   
Clinical characteristics
Age (years)  63 [52–74]  59 [52–79]  63 [52–73.25]  0.9185 
BMI (kg/m3)  27.08 [24.5–30.73]  28.11 [24.52–33.57]  26.83 [24.5–30.65]  0.5455 
History of VTE  12 (7.6%)  1 (4.3%)  11 (8.2%)  0.4912 
Diabetes  48 (30.6%)  6 (26.1%)  42 (31.3%)  0.6132 
Dyslipidemia  37 (23.6%)  6 (26.1%)  31 (23.1%)  0.7579 
Arterial hypertension  78 (49.7%)  11 (47.8%)  67 (50%)  0.8472 
Active malignancy  5 (3.2%)  3 (13%)  2 (1.5%)  0.0036 
Smoking status         
Never smoker  109  18  91  0.427 
Former smoker  41  36   
Active smoker   
Chronic cardiac insufficiency  10 (6.4%)  2 (8.7%)  8 (6%)  0.621 
Chronic respiratory insufficiency  1 (0.6%)  1 (0.7%)  0.6777 
Anticoagulant therapy
No anticoagulant  9 (5.7%)  2 (8.7%)  7 (5.2%)  0.1232 
Low prophylactic dose  39 (24.8%)  5 (21.7%)  34 (25.4%)   
High prophylactic dose  90 (57.3%)  10 (43.5%)  80 (59.7%)   
Curative dose  19 (12.1%)  6 (26.1%)  13 (9.7%)   
Time between symptoms onset and CTPA (days)  13 [10–18]  16 [12–23]  12 [9–18]  0.0164 
Time between hospitalization and CTPA (days)  5 [2–9.5]  8 [4–15]  5 [2–8]  0.0134 
Radiological characteristics
Parenchymal evaluation by comparison with the previous chest CT scan
Worsening  107 (68.1%)  16 (69.6%)  91 (67.9%)  0.2420 
Stability  29 (18.5%)  2 (8.7%)  27 (20.2%)   
Improvement  5 (3.2%)  2 (8.7%)  3 (2.2%)   
NA (no previous CT available)  16 (10.2%)  3 (13%)  13 (9.7%)   
Biological characteristicsa,b
d-Dimers (ng/ml)  1249 [566–3394]  7638 [2179–27544]  1064 [497.5–1767]  <0.0001 
GW  1055 [491–1852]  27544 [7448–76306]  870 [478–1573]  <0.0001 
ICU  2179 [1280–7638]  3898 [1556–16117]  1747 [1089–6981]  0.3074 
Fibrinogen (g/l)  5.17 [4.325–11.81]  4.94 [4.010–6.675]  5.19 [4.34–6.21]  0.9855 
GW  5.15 [4.335–6.19]  4.94 [3.045–6.41]  5.19 [4.545–6.14]  0.6511 
ICU  5.23 [4.22–6.743]  5.52 [4.46–7.043]  5.23 [3.978–6.548]  0.6047 
H-s troponin (μg/l)  0.015 [0.015–0.032]  0.015 [0.015–0.028]  0.015 [0.015–0.032]  0.44 
GW  0.015 [0.015–0.0255]  0.015 [0.015–0.0355]  0.015 [0.015–0.026]  0.7024 
ICU  0.015 [0.015–0.06475]  0.015 [0.015–0.03450]  0.017 [0.015–0.1048]  0.2341 
NT-proBNP (ng/l)  324 [95–1335]  253 [111.5–3096]  329.5 [93.75–1307]  0.7062 
GW  244 [83–804.5]  160 [82–520.5]  307 [82–809]  0.4165 
ICU  1360 [392–3901]  3096 [350.5–9674]  1069 [392–3647]  0.4815 
CRP (mg/l)  52 [21–108.5]  109.5 [31.25–181]  47 [20.5–96.5]  0.0292 
GW  50 [21–96.5]  117 [32.25–181]  46 [20.5–93.5]  0.0532 
ICU  63.5 [21.25–189.8]  99 [31.25–189.8]  59.5 [17.25–191.3]  0.5574 

Data are presented as median [interquartile range] or number (percentage) where appropriate. Groups with and without PE were compared by Mann–Whitney U test or chi-square test, for quantitative and categorical variables, respectively. p<0.05 was defined as statistically significant.

Bold values signifies values are statistically significance.

a

Biological data from samples obtained within 48h before or after CT pulmonary angiography in the ICU and within 5 days before or after CT in the GW.

b

Missing data in ICU: d-dimers n=3, NT proBNP n=3, CRP n=2; missing data in GW: d-dimers n=59, fibrinogen n=33, troponin n=39, NT proBNP n=39, CRP n=6.

Abbreviations: PE: pulmonary embolism; GW: general ward, ICU: intensive care unit; BMI: body mass index; VTE: venous thromboembolism; CTPA: CT pulmonary angiography; H-s troponin: high sensitivity troponin; BNP: brain natriuretic peptide; CRP: C reactive protein.

d-Dimers levels were significantly higher in ward patients with PE than those without; there was no difference in ICU patients. Using the age-adjusted d-dimers cut-off levels, the sensitivity, specificity, negative predictive value, and positive predictive value of d-dimers for the diagnosis of PE was 100%, 26%, 100%, and 21% respectively (Table 2). The ROC curve for d-dimer in hospitalized COVID patients with suspected PE is shown in Fig. 1.

Table 2.

Age-adjusted d-dimers for predicting pulmonary embolism in hospitalized COVID-19 patients with suspected pulmonary embolism: contingency table for sensitivity and specificity calculation.

Age-adjusted d-dimers  Total (n=157)  PE (n=23)  No PE (n=134) 
Positive  73  15  58 
Negative  20  20 
d-Dimers non available  64  56 

Data are presented as numbers.

Age-adjusted d-dimers cut-off level (ng/ml) was age multiplied by 10. d-Dimers were considered positive if they were above this threshold.

Abbreviation: PE: pulmonary embolism.

Figure 1.

ROC curve for d-dimer in hospitalized COVID patients with supected PE. The area under the curve was 0.885 (95% CI 0.807–0.963). The best cut-off value seemed to be 1274ng/ml, corresponding to a sensitivity of 100% (95% CI 79.6–100%) and a specificity of 61.3% (95% CI 50.3–61.2%).

(0.09MB).

Overall, 94.3% of patients received anticoagulant therapy (at least low-prophylactic doses) at the time of CTPA (100% in ICU patients and 93% in ward patients). For patients with PE, the proportion receiving anticoagulant therapy (at least a low-prophylactic dose) at the time of diagnosis was 100% and 86.7% in the ICU and general ward, respectively.

There is mounting evidence that COVID-19 patients, particularly critically ill patients, are at increased risk of VTE.2–4,6,7 The underlying mechanism involves factors related to COVID-19, such as inflammatory state, hypercoagulability, and endothelial damage, along with classical risk factors of VTE (older age, obesity, dehydration, immobilization, mechanical ventilation) which are often present with severe COVID-19.

A high incidence of PE in COVID-19 patients hospitalized in ICUs has been already reported3,4,6,7 but data in non-ICU patients remain limited.6–9 Our data confirm the high incidence of PE in COVID-19 patients hospitalized in ICU but also indicate that PE is also frequently observed in COVID-19 patients hospitalized in the general ward, justifying a high degree of awareness by clinicians.

Not surprisingly, we found that COVID-19 is associated with an hyperinflammatory state that contributes to the hypercogulability and in turn to the risk of VTE but the levels of CRP and fibrinogen did not differ between those with and without PE. Overall, d-dimers levels were significantly higher in those with PE than in those without PE, in line with the results of other COVID-19 studies.2,6,8–10 However, d-dimers were not able to predict thrombotic events, especially in ICU patients.

COVID-19 patients hospitalized in general wards because of severe illness are at risk of worsened condition leading, in the most severe cases, to admission to an ICU because of critical symptoms (respiratory failure, shock, multiple organ dysfunction). Likewise, in the ICU, physicians caring for COVID-19 patients are used to facing a general deterioration, with respiratory symptoms at the forefront. In both cases, progression of pneumonia is most often responsible for the observed worsening of the respiratory condition but the latter could also be related to the occurrence of PE or to PE superimposed on extending pneumonia.

From a clinical point of view, the fact that, along with the diagnosis of PE, CTPA also demonstrated a worsening of pneumonia in the majority of cases is informative. Performing thoracic CT without angiography instead of CTPA would have led to missing a significant number of embolic events. With worsening or non-improvement in patients hospitalized for COVID-19, our results argue for (1) increased awareness by clinicians of the possible responsibility of superimposed PE, even though progression of pneumonia may also be documented on chest CT, and (2) use of CTPA, whenever possible. New diagnostic techniques of PE have been recently investigated.11 Given the high incidence of PE in hospitalized COVID patients, they could be useful in this setting.

Ethics approval and consent to participate

The study received approval from the ethics committee of the French Language Society of Pulmonology “Comité d’évaluation des protocoles de recherche observationnels (CEPRO)”.

Consent for publication

Not applicable.

Availability of data and material

All data are available for reviewers on demand.

Funding

No funding.

Contributions of the authors

VB and HM wrote the manuscript.

GW provided assistance for statistical analysis.

XL, JFT, AD, BLJ, JG, SN, NA retrieved the clinical and biological data from the files.

AK and LS analyzed the CTPAs.

All the authors have checked the manuscript.

Conflict of interest

Dr. Mal reports grants from Pfizer, personal fees from Boehringer, non-financial support from Novartis, outside the submitted work. Dr. Timsit reports personal fees from Merck, personal fees from Pfizer, personal fees from Gilead, personal fees from Paratek, personal fees from Medimmune, outside the submitted work. The other authors have no conflicts of interest to declare.

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