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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphys.2020.573044</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Heparin Therapy Improving Hypoxia in COVID-19 Patients &#x2013; A Case Series</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Negri</surname> <given-names>Elnara Marcia</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="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1005738/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Piloto</surname> <given-names>Bruna Mamprim</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1100171/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Morinaga</surname> <given-names>Luciana Kato</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1100136/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jardim</surname> <given-names>Carlos Viana Poyares</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lamy</surname> <given-names>Shari Anne El-Dash</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ferreira</surname> <given-names>Marcelo Alves</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>D&#x2019;Amico</surname> <given-names>Elbio Antonio</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Deheinzelin</surname> <given-names>Daniel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Sirio-Libanes Hospital</institution>, <addr-line>S&#x00E3;o Paulo</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Cell Biology Laboratory (LIM 59), Hospital das Clinicas, University of Sao Paulo Medical School</institution>, <addr-line>S&#x00E3;o Paulo</addr-line>, <country>Brazil</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pulmonary, Heart Institute, University of Sao Paulo Medical School</institution>, <addr-line>S&#x00E3;o Paulo</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>CriticalCare Unit, A. C. Camargo Cancer Center</institution>, <addr-line>S&#x00E3;o Paulo</addr-line>, <country>Brazil</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Hematology and Hemotherapy, University of Sao Paulo Medical School</institution>, <addr-line>S&#x00E3;o Paulo</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Georges Leftheriotis, Universit&#x00E9; C&#x00F4;te d&#x2019;Azur, France</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Melissa L. Bates, The University of Iowa, United States; Marli Maria Knorst, Federal University of Rio Grande do Sul, Brazil</p></fn>
<corresp id="c001">&#x002A;Correspondence: Elnara Marcia Negri, <email>emnegri@yahoo.com.br</email>; <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-6428-6066">orcid.org/0000-0002-6428-6066</ext-link></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>ORCID: Bruna Mamprim Piloto, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-8756-0400">orcid.org/0000-0002-8756-0400</ext-link>; Luciana Kato Morinaga, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-0900-2737">orcid.org/0000-0002-0900-2737</ext-link>; Carlos Viana Poyares Jardim, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0003-0425-5548">orcid.org/0000-0003-0425-5548</ext-link>; Shari Anne El-Dash Lamy, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0003-2915-4014">orcid.org/0000-0003-2915-4014</ext-link>; Marcelo Alves Ferreira, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0003-4181-760X">orcid.org/0000-0003-4181-760X</ext-link>; Elbio Antonio D&#x2019;Amico, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0003-1069-1469">orcid.org/0000-0003-1069-1469</ext-link>; Daniel Deheinzelin, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-0253-4124">orcid.org/0000-0002-0253-4124</ext-link></p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Integrative Physiology, a section of the journal Frontiers in Physiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>10</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>11</volume>
<elocation-id>573044</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>06</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>09</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2020 Negri, Piloto, Morinaga, Jardim, Lamy, Ferreira, D&#x2019;Amico and Deheinzelin.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Negri, Piloto, Morinaga, Jardim, Lamy, Ferreira, D&#x2019;Amico and Deheinzelin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec><title>Introduction</title><p>Elevated D-dimer is a predictor of severity and mortality in COVID-19 patients, and heparin use during in-hospital stay has been associated with decreased mortality. COVID-19 patient autopsies have revealed thrombi in the microvasculature, suggesting that hypercoagulability is a prominent feature of organ failure in these patients. Interestingly, in COVID-19, pulmonary compliance is preserved despite severe hypoxemia corroborating the hypothesis that perfusion mismatch may play a significant role in the development of respiratory failure.</p></sec>
<sec><title>Methods</title><p>We describe a series of 27 consecutive COVID-19 patients admitted to Sirio-Libanes Hospital in S&#x00E3;o Paulo-Brazil and treated with heparin in therapeutic doses tailored to clinical severity.</p></sec>
<sec><title>Results</title><p>PaO2/FiO2 ratio increased significantly over the 72 h following the start of anticoagulation, from 254(&#x00B1;90) to 325(&#x00B1;80), <italic>p</italic> = 0.013, and 92% of the patients were discharged home within a median time of 11 days. There were no bleeding complications or fatal events.</p></sec>
<sec><title>Discussion</title><p>Even though this uncontrolled case series does not offer absolute proof that micro thrombosis in the pulmonary circulation is the underlying mechanism of respiratory failure in COVID-19, patient&#x2019;s positive response to heparinization contributes to the understanding of the pathophysiological mechanism of the disease and provides valuable information for the treatment of these patients while we await the results of further prospective controlled studies.</p></sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>respiratory failure</kwd>
<kwd>thrombosis</kwd>
<kwd>perfusion mismatch</kwd>
<kwd>heparin</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="7"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Since the beginning of the COVID-19 pandemic, disease severity has been linked to markers of coagulation disturbances such as prothrombin time prolongation, elevated fibrin degradation products, reduced platelet count, and specially to elevated D dimer (<xref ref-type="bibr" rid="B5">Chen G. et al., 2020</xref>, <xref ref-type="bibr" rid="B6">Chen T. et al., 2020</xref>; <xref ref-type="bibr" rid="B14">Han et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Wang D. et al., 2020</xref>; <xref ref-type="bibr" rid="B41">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Zhou et al., 2020</xref>). Higher levels of D dimer and the presence of other coagulation disturbances have been independently associated with development of respiratory failure and death in patients with COVID-19 (<xref ref-type="bibr" rid="B37">Wu et al., 2020</xref>). The use of heparin, particularly in those patients with more pronounced elevations of D dimer and in those with elevated sepsis induced coagulopathy (SIC) score, has been associated with a better prognosis (<xref ref-type="bibr" rid="B27">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Wu et al., 2020</xref>). Diabetic patients, whose levels of D dimer are greater than those of non-diabetic patients, have also been shown to have a worse prognosis regarding COVID-19 (<xref ref-type="bibr" rid="B13">Guo et al., 2020</xref>). Moreover, hypercoagulative features can differentiate severe COVID-19 associated pneumonia from that caused by other viruses (<xref ref-type="bibr" rid="B40">Yin et al., 2020</xref>).</p>
<p>Over the last months it has been consistently shown that SARS-Cov-2 causes a cytokine storm, endothelial and epithelial dysfunction, which ultimately lead to the activation of the coagulation cascade, causing thrombotic phenomena (<xref ref-type="bibr" rid="B20">Mehta et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B28">Teuwen et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Wu et al., 2020</xref>). Similarly to what happens in severe sepsis, the widespread deposition of intravascular clots compromises adequate blood supply, contributing to organ failure (<xref ref-type="bibr" rid="B4">Burzynski et al., 2019</xref>).</p>
<p>Disseminated intravascular coagulation (DIC) secondary to severe infection is classically associated with gram-positive or gram-negative bacteria, malaria and haemorrhagic fevers, but other viruses, such as dengue (an hemorrhagic virus), SARS-CoV and MERS-CoV, can also be responsible for systemic activation of intravascular coagulation (<xref ref-type="bibr" rid="B8">de Wit et al., 2016</xref>; <xref ref-type="bibr" rid="B12">Giannis et al., 2020</xref>).</p>
<p>Furthermore, in contrast to the characteristic stiffening of the lung usually seen in acute respiratory distress syndrome (ARDS), in COVID-19 patients the severe hypoxemia observed is accompanied by near normal pulmonary compliance, especially in early stages (<xref ref-type="bibr" rid="B11">Gattinoni et al., 2020</xref>). Autopsy findings from COVID-19 patients show microthrombi in the pulmonary microvasculature (<xref ref-type="bibr" rid="B9">Dolhnikoff et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Tian et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Yao et al., 2020</xref>) suggesting that ventilation-perfusion mismatch due to capillary obstruction could be a pivotal feature in the refractory hypoxemia presented by these patients. The anatomical distribution of this peripheral vascular bed mirrors the predominantly distal and patchy distribution of the radiological infiltrates (<xref ref-type="bibr" rid="B39">Ye et al., 2020</xref>).</p>
<p>In one of our first COVID-19 patients we noticed a concomitance of peripheral ischaemia (acro-ischemia) with the onset of respiratory distress, an observation that led us to consider the hypothesis that the normal compliance respiratory failure might actually be due to extensive pulmonary capillary obstruction, and that an intense process of intravascular coagulation might be playing a significant role in hypoxemia and outcome of COVID-19 patients.</p>
<p>The treatment of DIC consists in slowing down the coagulation cascade by using low doses of anticoagulation, alongside vigorous specific treatment of the underlying disorder. We therefore considered adding early heparin therapy to our standard care (<xref ref-type="bibr" rid="B5">Chen G. et al., 2020</xref>). The present study is a description of the outcome, particularly regarding oxygenation, of the first 27 COVID-19 patients we treated with anticoagulation in the course of the disease.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p>This study is a case series of 27 consecutive COVID-19 patients seen by our team in Sirio-Liban&#x00EA;s Hospital &#x2013; S&#x00E3;o Paulo, Brazil, between March 21st and April 12th, 2020. The study was approved by the Sirio-Liban&#x00EA;s Hospital Institutional Review Board under the number 3993056 and informed consent was waived.</p>
<p>All patients received initially enoxaparin 0.5 mg/kg SC every 24 h. Patients with a creatinine clearance under 30 mL/min received subcutaneous unfractionated heparin at a dose of 5,000 units every 8 h. If an abrupt decrease in oxygenation or an increase in D Dimer levels was observed, enoxaparin dose was raised to 0.5 mg/kg SC every 12 h and, in the event of thrombotic phenomena or worsening hypoxia, the dose was further increased to 1 mg/kg SC every 12 h. Patients with a BMI (body mass index) of 35 or higher were also considered for the higher dose regimen. Patients in shock or intubated were treated from the beginning with intravenous heparin, targeting an APTT ratio around 1.5 to 2.0 times the normal range. If a patient presented any acute thrombotic event, heparin dosing was increased to obtain an APTT approximately 2.0 to 2.5 times the normal range.</p>
<p>All patients received a 10-day course of azithromycin (500 mg on day 1, then 250 mg daily) (<xref ref-type="bibr" rid="B7">Cramer et al., 2017</xref>). Methylprednisolone 40 mg daily was initiated if a worsening in the radiological pattern accompanied by an increase in serum LDH levels was observed. If the patient presented subsequent rise in C-reactive protein, we actively searched for secondary infection and promptly initiated antibiotics.</p>
<p>To evaluate severity of disease during hospital stay, we used the ordinal scale for clinical improvement proposed by the World Health Organization (WHO score): 0. &#x2013; no clinical or virological evidence of infection; 1. no limitation of activities; 2. limitations of activities; 3. hospitalized, no oxygen therapy; 4. oxygen by mask or nasal prongs; 5. non-invasive ventilation or high-flow oxygen; 6. intubation and mechanical ventilation; 7. ventilation plus additional organ support (pressors, renal replacement therapy, ECMO); 8. death (<xref ref-type="bibr" rid="B35">World Health Organization [WHO], 2020</xref>).</p>
</sec>
<sec id="S3">
<title>Results</title>
<p>We followed a total of 27 hospitalized patients with a diagnosis of COVID-19, all confirmed by PCR. Seventy percent were male, their mean age was 56 &#x00B1; 17 years, mean BMI was 28.8 &#x00B1; 6 kg/m<sup>2</sup>, and comorbidities were present in 67% of them. Individual data from all patients are presented at <xref ref-type="table" rid="T1">Table 1</xref>. The mean WHO score at admittance was 4.0 &#x00B1; 1.2 (and the mean maximum score achieved during hospitalization was 4.6 &#x00B1; 1.6). Entry CT scans showed radiologic infiltrates compromising up to 25% of lung area in 22% of patients, 25&#x2013;50% of lung area in 48% of patients, and 30% of patients presented infiltrates in over half of lung parenchyma. Symptoms started at an average of 9.6 &#x00B1; 4.0 days prior to hospitalization, and the anticoagulation protocol was initiated at an average of 3.4 &#x00B1; 4.0 days after admission. Nineteen patients received methylprednisolone in the course of the disease. Six patients received only the prophylactic dosage of heparin or enoxaparin; three patients started already with enoxaparin 0.5 mg/Kg twice and were kept on this dosage and in 18 patient&#x2019;s dosages were escalated to either full EV heparin or enoxaparin 1 mg/kg twice a day.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Individual data from all patients included at admission and during evolution.</p></caption>
<table cellspacing="0" cellpadding="0" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Subject</bold></td>
<td valign="top" align="left"><bold>Age (years)</bold></td>
<td valign="top" align="left"><bold>Gender</bold></td>
<td valign="top" align="left"><bold>Comorbi- dities</bold></td>
<td valign="top" align="left"><bold>WHO score</bold></td>
<td valign="top" align="left"><bold>D-dimer (ng/mL FEU)</bold></td>
<td valign="top" align="left"><bold>LDH (U/L)</bold></td>
<td valign="top" align="left"><bold>Platelet count (&#x002A;10<sup>3</sup>/mm<sup>3</sup>)</bold></td>
<td valign="top" align="left"><bold>Antibiotics</bold></td>
<td valign="top" align="left"><bold>Corticos- teroids</bold></td>
<td valign="top" align="left"><bold>Anticoagu lation</bold></td>
<td valign="top" align="center"><bold>In-hospital days</bold></td>
<td valign="top" align="center"><bold>Bleeding</bold></td>
<td valign="top" align="left"><bold>Macro-thrombosis</bold></td>
<td valign="top" align="left"><bold>Outcome</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">52</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 480<break/>Max &#x2013; 20000</td>
<td valign="top" align="left">Adm &#x2013; 271<break/>Max &#x2013; 271</td>
<td valign="top" align="justify"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 2 mg/kg/d</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">45</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 1360<break/>Max &#x2013; 780</td>
<td valign="top" align="left">Adm &#x2013; 653<break/>Max &#x2013; 653</td>
<td valign="top" align="left">Adm &#x2013; 247<break/>Min &#x2013; 247<break/>Max &#x2013; 514</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">46</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">Breast cancer</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 3</td>
<td valign="top" align="left">Adm &#x2013; 561<break/>Max &#x2013; 561</td>
<td valign="top" align="left">Adm &#x2013; 549<break/>Max &#x2013; 635</td>
<td valign="top" align="left">Adm &#x2013; 175<break/>Min &#x2013; 232<break/>Max &#x2013; 175</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 0.5 mg/kg/d</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">46</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 3</td>
<td valign="top" align="left">Adm &#x2013; 1053<break/>Max &#x2013; 1053</td>
<td valign="top" align="left">Adm &#x2013; 532<break/>Max &#x2013; 532</td>
<td valign="top" align="left">Adm &#x2013; 176<break/>Min &#x2013; 176<break/>Max &#x2013; 279</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 0.5 mg/kg/d</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">79</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 587<break/>Max &#x2013; 685</td>
<td valign="top" align="left">Adm &#x2013; 540<break/>Max &#x2013; 626</td>
<td valign="top" align="left">Adm &#x2013; 104<break/>Min &#x2013; 101<break/>Max &#x2013; 560</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">66</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Obesity<break/>Hypertension<break/>COPD</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 7</td>
<td valign="top" align="left">Adm &#x2013; 687<break/>Max &#x2013; 7519</td>
<td valign="top" align="left">Adm &#x2013; 502<break/>Max &#x2013; 902</td>
<td valign="top" align="left">Adm &#x2013; 142<break/>Min &#x2013; 129<break/>Max &#x2013; 340</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">39</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 3</td>
<td valign="top" align="left">Adm &#x2013; 339<break/>Max &#x2013; 1228</td>
<td valign="top" align="left">Adm &#x2013; 498<break/>Max &#x2013; 700</td>
<td valign="top" align="left">Adm &#x2013; 172<break/>Min &#x2013; 172<break/>Max &#x2013; 749</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">96</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">COPD<break/>Parkinson</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 525<break/>Max &#x2013; 1853</td>
<td valign="top" align="left">Adm &#x2013; 605<break/>Max &#x2013; 609</td>
<td valign="top" align="left">Adm &#x2013; 204<break/>Min &#x2013; 167<break/>Max &#x2013; 254</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">63</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 7</td>
<td valign="top" align="left">Adm &#x2013; 644<break/>Max &#x2013; 6899</td>
<td valign="top" align="left">Adm &#x2013; 731<break/>Max &#x2013; 810</td>
<td valign="top" align="left">Adm &#x2013; 155<break/>Min &#x2013; 155<break/>Max &#x2013; 474</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">76</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Coronary Heart Disease</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 7</td>
<td valign="top" align="left">Adm &#x2013; 1583<break/>Max &#x2013; 6522</td>
<td valign="top" align="left">Adm &#x2013; 805<break/>Max &#x2013; 805</td>
<td valign="top" align="left">Adm &#x2013; 133<break/>Min &#x2013; 111<break/>Max &#x2013; 580</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Still in hospital</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">68</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">Hypertension<break/>Hyperthy- roidism</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 7</td>
<td valign="top" align="left">Adm &#x2013; 316<break/>Max &#x2013; 954</td>
<td valign="top" align="left">Adm &#x2013; 436<break/>Max &#x2013; 648</td>
<td valign="top" align="left">Adm &#x2013; 225<break/>Min &#x2013; 167<break/>Max &#x2013; 404</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">76</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 7</td>
<td valign="top" align="left">Adm &#x2013; 1968<break/>Max &#x2013; &#x003E; 10000</td>
<td valign="top" align="left">Adm &#x2013; 660<break/>Max &#x2013; 1045</td>
<td valign="top" align="left">Adm &#x2013; 158<break/>Min &#x2013; 144<break/>Max &#x2013; 419</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">VTE</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">64</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Hypertension<break/>Diabetes</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 7</td>
<td valign="top" align="left">Adm &#x2013; 342<break/>Max &#x2013; 3014</td>
<td valign="top" align="left">Adm &#x2013; 508<break/>Max &#x2013; 518</td>
<td valign="top" align="left">Adm &#x2013; 190<break/>Min &#x2013; 190<break/>Max &#x2013; 550</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">55</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">Adm &#x2013; 5<break/>Max &#x2013; 6</td>
<td valign="top" align="left">Adm &#x2013; 679<break/>Max &#x2013; 3599</td>
<td valign="top" align="left">Adm &#x2013; 705<break/>Max &#x2013; 705</td>
<td valign="top" align="left">Adm &#x2013; 295<break/>Min &#x2013; 295<break/>Max &#x2013; 460</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">66</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 3</td>
<td valign="top" align="left">Adm &#x2013; 441<break/>Max &#x2013; 441</td>
<td valign="top" align="left">Adm &#x2013; 566<break/>Max &#x2013; 566</td>
<td valign="top" align="left">Adm &#x2013; 224<break/>Min &#x2013; 224<break/>Max &#x2013; 285</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 0.5 mg/kg/d</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">45</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 3</td>
<td valign="top" align="left">Adm &#x2013; 510<break/>Max &#x2013; 843</td>
<td valign="top" align="left">Adm &#x2013; 461<break/>Max &#x2013; 461</td>
<td valign="top" align="left">Adm &#x2013; 279<break/>Min &#x2013; 279<break/>Max &#x2013; 334</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 0.5 mg/kg/d</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="left">53</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 395<break/>Max &#x2013; 406</td>
<td valign="top" align="left">Adm &#x2013; 743<break/>Max &#x2013; 1034</td>
<td valign="top" align="left">Adm &#x2013; 249<break/>Min &#x2013; 249<break/>Max &#x2013; 706</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="left">35</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Obesity<break/>Asthma</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 3</td>
<td valign="top" align="left">Adm &#x2013; 438<break/>Max &#x2013; 438</td>
<td valign="top" align="left">Adm &#x2013; 520<break/>Max &#x2013; 599</td>
<td valign="top" align="left">Adm &#x2013; 235<break/>Min &#x2013; 205<break/>Max &#x2013; 266</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 0.5 mg/kg/d</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="left">52</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Tobacco dependence</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 505<break/>Max &#x2013; 912</td>
<td valign="top" align="left">Adm &#x2013; 368<break/>Max &#x2013; 830</td>
<td valign="top" align="left">Adm &#x2013; 167<break/>Min &#x2013; 140<break/>Max &#x2013; 423</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 0.5 mg/kg/d</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="left">67</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">Treated lymphoma</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 823<break/>Max &#x2013; 1234</td>
<td valign="top" align="left">Adm &#x2013; 636<break/>Max &#x2013; 888</td>
<td valign="top" align="left">Adm &#x2013; 125<break/>Min &#x2013; 105<break/>Max &#x2013; 325</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">21</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 416<break/>Max &#x2013; 416</td>
<td valign="top" align="left">Adm &#x2013; 408<break/>Max &#x2013; 797</td>
<td valign="top" align="left">Adm &#x2013; 278<break/>Min &#x2013; 274<break/>Max &#x2013; 515</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 2 mg/kg/d</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">22</td>
<td valign="top" align="left">66</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 7</td>
<td valign="top" align="left">Adm &#x2013; 720<break/>Max &#x2013; 4833</td>
<td valign="top" align="left">Adm &#x2013; 611<break/>Max &#x2013; 618</td>
<td valign="top" align="left">Adm &#x2013; 271<break/>Min &#x2013; 256<break/>Max &#x2013; 498</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">IV Heparin</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">23</td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 3</td>
<td valign="top" align="left">Adm &#x2013; 245<break/>Max &#x2013; 362</td>
<td valign="top" align="left">Adm &#x2013; 520<break/>Max &#x2013; 970</td>
<td valign="top" align="left">Adm &#x2013; 249<break/>Min &#x2013; 249<break/>Max &#x2013; 290</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">24</td>
<td valign="top" align="left">42</td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 644<break/>Max &#x2013; 1242</td>
<td valign="top" align="left">Adm &#x2013; 571<break/>Max &#x2013; 716</td>
<td valign="top" align="left">Adm &#x2013; 263<break/>Min &#x2013; 263<break/>Max &#x2013; 408</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">25</td>
<td valign="top" align="left">65</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 569<break/>Max &#x2013; 1346</td>
<td valign="top" align="left">Adm &#x2013; 571<break/>Max &#x2013; 571</td>
<td valign="top" align="left">Adm &#x2013; 186<break/>Min &#x2013; 179<break/>Max &#x2013; 265</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="justify"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Transferred</td>
</tr>
<tr>
<td valign="top" align="left">26</td>
<td valign="top" align="left">79</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">Cerebro- vascular disease</td>
<td valign="top" align="left">Adm &#x2013; 3<break/>Max &#x2013; 4</td>
<td valign="top" align="left">Adm &#x2013; 1449<break/>Max &#x2013; 1686</td>
<td valign="top" align="left">Adm &#x2013; 535<break/>Max &#x2013; 678</td>
<td valign="top" align="left">Adm &#x2013; 267<break/>Min &#x2013; 217<break/>Max &#x2013; 318</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 1 mg/kg/d</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
<tr>
<td valign="top" align="left">27</td>
<td valign="top" align="left">35</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Adm &#x2013; 4<break/>Max &#x2013; 5</td>
<td valign="top" align="left">Adm &#x2013; 555<break/>Max &#x2013; 605</td>
<td valign="top" align="left">Adm &#x2013; 630<break/>Max &#x2013; 709</td>
<td valign="top" align="left">Adm &#x2013; 134<break/>Min &#x2013; 134<break/>Max &#x2013; 331</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Enoxaparin 2 mg/kg/d</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Discharged</td>
</tr>
</tbody>
</table></table-wrap>
<p>As of August 11th, of the 27 consecutive patients, 25(92%) were discharged from hospital after an median of 11 days. One patient was transferred to another hospital on the 4th day and lost follow-up. Nine patients (33%) were admitted to ICU, 8 (89%) of which have already been discharged to the ward after a median time of 44 days. Eight patients (30%) required intubation, and seven patients have already been successfully weaned after a median time of 11,5 days of mechanical ventilation. One patient is still under mechanical ventilation and required a tracheostomy. This patient had an infected sacral pressure ulcer and required multiple surgical procedures.</p>
<p>Interestingly enough, rotational thromboelastometry (ROTEM) performed in four patients, showed an increase in &#x03B1;-angle, amplitude 10 min after clotting time (A10) and maximum clot firmness (MCF) pointing to a persistent hypercoagulability state, despite their ongoing heparin use.</p>
<p><xref ref-type="fig" rid="F1">Figure 1</xref> depicts the gradual improvement in PaO<sub>2</sub>/FiO<sub>2</sub> ratio along the first 72 h in relation to pre-anticoagulation values. Analysis was conducted for the whole series (A) and considering only patients with moderate to severe disease (B) according to the WHO score (<italic>p</italic> &#x003C; 0.02 for both groups). For non-mechanically ventilated patients PaO<sub>2</sub>/FiO<sub>2</sub> ratio was calculated according to mask or nasal catheter oxygen flow and oxymetry (<xref ref-type="bibr" rid="B18">Lobete et al., 2013</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>PO<sub>2</sub>/FiO<sub>2</sub> ratio over time from start of anticoagulation. <bold>(A)</bold> All patients included; <bold>(B)</bold> Patients with WHO score &#x2265;4 at hospital admission (WHO Score: ordinal scale for clinical improvement proposed by the World Health Organization: 0. &#x2013; no clinical or virological evidence of infection; 1. no limitation of activities; 2. limitations of activities; 3. hospitalized, no oxygen therapy; 4. oxygen by mask or nasal prongs; 5. non-invasive ventilation or high-flow oxygen; 6. intubation and mechanical ventilation; 7. ventilation plus additional organ support &#x2013; pressors, renal replacement therapy, ECMO; 8. Death).</p></caption>
<graphic xlink:href="fphys-11-573044-g001.tif"/>
</fig>
<p>We observed no deaths due to any cause or haemorrhagic complications due to anticoagulation during the study period. Moreover, after three months, all but one patient were discharged home without supplementary oxygen.</p>
</sec>
<sec id="S4">
<title>Discussion</title>
<p>Our results suggest the important role of hypercoagulative state and microthrombosis as the main mechanisms of organ failure in COVID-19 and the potential response to early anticoagulation therapy.</p>
<p>The significant improvement in oxygen exchange and clinical symptoms observed in these COVID-19 patients, in response to the anticoagulation, points to a potential role for systematic use of heparin in the treatment of such patients. The high incidence of thrombotic events that has been reported in COVID-19 patients (<xref ref-type="bibr" rid="B16">Klok et al., 2020</xref>), confirmed more recently, even in the presence of usual heparin prophylaxis (<xref ref-type="bibr" rid="B21">Middeldorp et al., 2020</xref>), as well as the fact that similar observations were reported in the other recent coronavirus outbreaks (<xref ref-type="bibr" rid="B8">de Wit et al., 2016</xref>; <xref ref-type="bibr" rid="B12">Giannis et al., 2020</xref>), further corroborate with this line of reasoning. This is not surprising, as severe cases of COVID-19 meet the laboratory criteria of DIC (<xref ref-type="bibr" rid="B27">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Wu et al., 2020</xref>) of thrombotic pattern, in which fibrinogen does not drop and prothrombotic phenomena override the haemorrhagic ones (<xref ref-type="bibr" rid="B31">Wada et al., 2014</xref>). Moreover, specifically in patients with respiratory insufficiency caused by COVID-19 under mechanical ventilation, increased d-dimer, abnormal thromboelastography and high levels of fibrinogen point to a hypercoagulative status (<xref ref-type="bibr" rid="B24">Ranucci et al., 2020</xref>; <xref ref-type="bibr" rid="B36">Wright et al., 2020</xref>). Markers of hypercoagulability has been shown to be independent predictors of increased oxygen requirements in patients with COVID-19 (<xref ref-type="bibr" rid="B25">Rauch et al., 2020</xref>).</p>
<p>Thromboelastography showing a pattern of hypercoagulability despite the use of heparin during the course of viral diseases has been previously reported (<xref ref-type="bibr" rid="B34">Wilson et al., 2016</xref>). In fact, many viruses known to induce a state of hypercoagulability (<xref ref-type="bibr" rid="B26">Subramaniam and Scharrer, 2018</xref>) have a similar pattern of disease, including the timeframe of clinical manifestations (<xref ref-type="bibr" rid="B10">Gai et al., 2012</xref>), suggesting a common pattern of response.</p>
<p>Multiple phenomena are involved in the hypercoagulative status in COVID 19: the extensive denudation of epithelial and endothelial spaces causing a massive exposure of tissue factor, production of Von Willeband factor, platelet activation, netosis and pyroptosis, have been described as promoters of extensive microcirculation thrombosis in the severe cases of this disease (<xref ref-type="bibr" rid="B31">Wada et al., 2014</xref>; <xref ref-type="bibr" rid="B28">Teuwen et al., 2020</xref>). It has been shown that in patients with COVID-19, NETs increased with intubation or death as outcome and were inversely correlated with PaO2/FiO2 (<xref ref-type="bibr" rid="B3">Brinkmann et al., 2004</xref>; <xref ref-type="bibr" rid="B22">Middleton et al., 2020</xref>). Many autopsy findings confirm this pathophysiological rationale, showing a large amount of microthrombosis as well venous and arterial thrombosis in deceased patients (<xref ref-type="bibr" rid="B9">Dolhnikoff et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Yao et al., 2020</xref>). Ultrastructural findings also corroborate the endothelial and epithelial destruction in multiple organs (<xref ref-type="bibr" rid="B1">Ackermann et al., 2020</xref>). More recently heparin treatment has been pointed to decrease mortality in severe COVID-19 (<xref ref-type="bibr" rid="B2">Ayerbe et al., 2020</xref>).</p>
<p>The PaO<sub>2</sub>/FiO<sub>2</sub> ratio improvement observed in our patients after starting heparin is in agreement with the idea of a significant perfusion component explaining the mechanism of respiratory failure with the distinct pattern of marked hypoxia and preserved lung compliance that characterizes severe COVID-19 patients. It has been argued that this could be secondary to the loss of lung perfusion regulation and hypoxic vasoconstriction (<xref ref-type="bibr" rid="B29">Tian et al., 2020</xref>), but the clinical response to heparin rather suggests hypoxia due to extensive clogging of pulmonary microcirculation. HRCT studies have shown a consistent reduction in pulmonary blood volume in COVID-19 patients compared to healthy controls, particularly in vessels smaller than 5 mm, again pointing to microthrombi as a cause for hypoxia (<xref ref-type="bibr" rid="B17">Lins et al., 2020</xref>). Using electrical impedance tomography, it has been shown that dead space fraction was much more relevant than the shunt fraction as an explanation for the gas exchange derangement observed in the course of disease (<xref ref-type="bibr" rid="B19">Mauri et al., 2020</xref>). Moreover when a diagnosis of pulmonary embolism is made in patients with COVID-19, the phenotype is different than embolism in other patients, since it occurs only in areas already affected by the virus, with a lower thrombus load and lower prevalence of proximal embolism of main arteries (<xref ref-type="bibr" rid="B30">van Dam et al., 2020</xref>). Interestingly the use of tissue Plasminogen Activator (tPA) has been shown to promote a non-sustained elevation of PaO2/FiO2 ratio (<xref ref-type="bibr" rid="B33">Wang J. et al., 2020</xref>). In our opinion, given the marked hypercoagulability seen in these patients &#x2013; and again in accordance with the autopsy findings &#x2013; judicious tailoring of heparin doses is needed to prevent capillary reocclusion while avoiding the risks of bleeding complications.</p>
<p>The fact that this is a retrospective study without a control arm does not yet allow us to definitively conclude that heparin in tailored doses should be systematically employed in all COVID-19 patients. Nonetheless, our findings in this early group of patients certainly provide food for thought and perhaps a rationale to justify using a readily available and well-known drug such as heparin, even in larger doses than previously recommended to ameliorate the dim prognosis of such sick patients while we await the more solid data on this subject, as suggested recently (<xref ref-type="bibr" rid="B15">Iba et al., 2020</xref>).</p>
</sec>
<sec id="S5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Hospital Sirio-Libanes Institutional Review Board &#x2013; Number of approval: 3.993.056. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>All authors contributed equally on this manuscript.</p>
</sec>
<sec id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack>
<p>We would like to thank the Teaching Research Institute (IEP), Sirio-Libanes Hospital, S&#x00E3;o Paulo, Brazil. We also would like to acknowledge the hospital staff and their instrumental role in caring for all patients. This manuscript has been released as a pre-print at medRxiv (medRxiv 2020:2020.04.15.20067017) (<xref ref-type="bibr" rid="B23">Negri et al., 2020</xref>).</p>
</ack>
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