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<art>
   <ui>1477-9560-7-10</ui>
   <ji>1477-9560</ji>
   <fm>
      <dochead>Original clinical investigation</dochead>
      <bibl>
         <title>
            <p>Plasma fibrinolysis is related to the degree of organ dysfunction but not to the concentration of von Willebrand Factor in critically ill patients</p>
         </title>
         <aug>
            <au ca="yes" id="A1">
               <snm>Boudjeltia</snm>
               <mnm>Zouaoui</mnm>
               <fnm>Karim</fnm>
               <insr iid="I1"/>
               <email>kaveroes@hotmail.com</email>
            </au>
            <au id="A2">
               <snm>Ollieuz</snm>
               <fnm>Sandra</fnm>
               <insr iid="I2"/>
               <email>sandra.ollieuz@chu-charleroi.be</email>
            </au>
            <au id="A3">
               <snm>Piagnerelli</snm>
               <fnm>Michael</fnm>
               <insr iid="I3"/>
               <email>Michael.piagnerelli@ulb.ac.be</email>
            </au>
            <au id="A4">
               <snm>Biston</snm>
               <fnm>Patrick</fnm>
               <insr iid="I2"/>
               <email>patrick.biston@chu-charleroi.be</email>
            </au>
            <au id="A5">
               <snm>Cauchie</snm>
               <fnm>Philippe</fnm>
               <insr iid="I1"/>
               <email>philippe.cauchie@chu-charleroi.be</email>
            </au>
            <au id="A6">
               <snm>Vincent</snm>
               <fnm>Jean-Louis</fnm>
               <insr iid="I3"/>
               <email>jlvincent@ulb.ac.be</email>
            </au>
            <au id="A7">
               <snm>Brohee</snm>
               <fnm>Dany</fnm>
               <insr iid="I1"/>
               <email>dany.brohee@chu-charleroi.be</email>
            </au>
            <au id="A8">
               <snm>Vanhaeverbeek</snm>
               <fnm>Michel</fnm>
               <insr iid="I1"/>
               <email>michel.vanhaeverbeek@chu-charleroi.be</email>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>Experimental Medicine Laboratory (ULB 222 Unit), CHU-Charleroi, Vesale Hospital, 6110-Montigny-le-Tilleul, Belgium</p>
            </ins>
            <ins id="I2">
               <p>Department of Intensive Care, CHU-Charleroi, 6000-Charleroi. Belgium</p>
            </ins>
            <ins id="I3">
               <p>Department of Intensive Care, Erasme University Hospital, Universit&#233; Libre de Bruxelles, 1070-Brussels. Belgium</p>
            </ins>
         </insg>
         <source>Thrombosis Journal</source>
         <issn>1477-9560</issn>
         <pubdate>2009</pubdate>
         <volume>7</volume>
         <issue>1</issue>
         <fpage>10</fpage>
         <url>http://www.thrombosisjournal.com/content/7/1/10</url>
         <xrefbib>
            <pubidlist>
               <pubid idtype="pmpid">19538758</pubid>
               <pubid idtype="doi">10.1186/1477-9560-7-10</pubid>
            </pubidlist>
         </xrefbib>
      </bibl>
      <history>
         <rec>
            <date>
               <day>20</day>
               <month>11</month>
               <year>2008</year>
            </date>
         </rec>
         <acc>
            <date>
               <day>19</day>
               <month>6</month>
               <year>2009</year>
            </date>
         </acc>
         <pub>
            <date>
               <day>19</day>
               <month>6</month>
               <year>2009</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2009</year>
         <collab>Boudjeltia et al; licensee BioMed Central Ltd.</collab>
         <note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note>
      </cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <sec>
               <st>
                  <p>Background</p>
               </st>
               <p>Endothelial cell dysfunction, by promoting fibrin deposition, has been implicated in the development of multiple organ failure. Altered fibrinolysis during inflammation may participate in microvascular alterations. We sought to determine whether plasma fibrinolysis was related to the severity of organ dysfunction and/or to the levels of von Willebrand factor (vWF antigen), as a marker of endothelium dysfunction, in critically ill patients.</p>
            </sec>
            <sec>
               <st>
                  <p>Methods</p>
               </st>
               <p>Forty-nine consecutive patients admitted to an adult medico-surgical intensive care unit (ICU) with (18) or without sepsis (31) were included. C-reactive protein and vWF levels were measured on ICU admission and plasma fibrinolysis was assessed by the Euglobulin Clot Lysis Time (ECLT). The sequential organ failure assessment (SOFA) score and the simplified acute physiology score (SAPS) II were calculated on admission.</p>
            </sec>
            <sec>
               <st>
                  <p>Results</p>
               </st>
               <p>ECLT was significantly longer in septic than in non-septic patients [1033 min (871&#8211;1372) versus 665 min (551&#8211;862), p = 0.001]. There were significant correlations between ECLT and C-reactive protein (CRP) concentrations (r = 0.78, p &lt; 0.001) and the Sequential Organ Failure Assessment (SOFA) score (r = 0.39, p = 0.006). The level of vWF was not correlated with the ECLT (r = -0.06, p = 0.65) or the SOFA score (r = -0.02, p = 0.88).</p>
            </sec>
            <sec>
               <st>
                  <p>Conclusion</p>
               </st>
               <p>ECLT measurement at admission could be a marker of organ dysfunction and a prognostic indicator in critically ill patients.</p>
            </sec>
         </sec>
      </abs>
   </fm>
   <bdy>
      <sec>
         <st>
            <p>Introduction</p>
         </st>
         <p>Endothelial cells (ECs) are in tight contact with all organs, so that EC activation and damage has been implicated in the development of multiple organ failure (MOF) <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. Among the proposed mechanisms, altered fibrinolysis may promote fibrin deposition and thereby contribute to microvascular alterations <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>.</p>
         <p>Fibrinolysis and inflammation may be intertwined. Elevated concentrations of C-reactive protein (CRP), especially when they persist over time, are correlated with the risk of MOF and death <abbrgrp><abbr bid="B3">3</abbr></abbrgrp>. CRP may inhibit fibrinolysis by inducing release of plasminogen activator inhibitor-1 (PAI-1) from human aortic ECs <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>. In addition, the administration of recombinant CRP to volunteers increases circulating PAI-1 levels <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>. We previously showed that hypofibrinolysis assessed by the Euglobulin Clot Lysis Time (ECLT) was strongly correlated with CRP concentrations in critically ill patients <abbrgrp><abbr bid="B6">6</abbr></abbrgrp>.</p>
         <p>ECLT is the test most commonly used to estimate plasma fibrinolytic capacity. The ECLT result represents the balance between tissue plasminogen activator (t-PA) and PAI-1 activities. We sought to define the relationship between ECLT, as a marker of fibrinolysis, von Willebrand factor (vWF), a marker of endothelial dysfunction <abbrgrp><abbr bid="B7">7</abbr></abbrgrp>, and the severity of the clinical syndrome in critically ill patients. Organ dysfunction was estimated by the Sequential Organ Failure Assessment (SOFA) score <abbrgrp><abbr bid="B8">8</abbr></abbrgrp> and the risk of hospital mortality by the simplified acute physiologic score (SAPS II) <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>.</p>
      </sec>
      <sec>
         <st>
            <p>Materials and methods</p>
         </st>
         <sec>
            <st>
               <p>Subjects</p>
            </st>
            <p>The study protocol was approved by the ethics committee of A. V&#233;sale hospital and informed consent was obtained from each patient or their closest relative. Over a 5 month period, we enrolled all consecutive critically ill patients at ICU admission. Sepsis was defined by usual criteria <abbrgrp><abbr bid="B10">10</abbr></abbrgrp>. Exclusion criteria were: age &lt; 18 years, transfusion of red blood cells or other blood components in the 72 h prior to study entry, active bleeding, haematological disorders, cytotoxic chemotherapy in the 6 months prior to study entry, burns, cardiogenic shock, cirrhosis, or pregnancy. The SAPS II score and SOFA scores were determined on admission.</p>
         </sec>
         <sec>
            <st>
               <p>Blood samples</p>
            </st>
            <p>In each patient, blood samples were drawn once during the 24 hours following ICU admission; serum and plasma samples were obtained from the same venipuncture. Serum samples were collected in vacuum tubes without anticoagulant. Plasma samples were harvested in citrated vacuum tubes and put in melting ice. Whole blood was collected in EDTA-treated tubes. CRP was measured by antibody-binding and turbidity measurement on SYNCHRON LX<sup>&#174; </sup>(Analys, Belgium). Fibrinogen was determined by the Clauss method on a STA<sup>&#174; </sup>automate (STAGO, Paris, France). An immuno-turbidimetric assay for vWF determination was used (Liatest<sup>&#174; </sup>vWF:Ag, STAGO, Paris France). Leucocytes and platelet counts were determined using a haemocytometer (CELL-DYN4000<sup>&#174;</sup>, Abbott, Belgium).</p>
         </sec>
         <sec>
            <st>
               <p>Plasma fibrinolytic capacity</p>
            </st>
            <p>ECLT was measured on fresh plasma using a method described elsewhere <abbrgrp><abbr bid="B11">11</abbr></abbrgrp>. Briefly, we designed a completely computerized, semi-automatic, 8-channel device for measurement and determination of fibrin clot lysis (Lysis Timer, EREM, Belgium). The lysis time is evaluated by mathematical analysis of the lysis curve and the results are expressed in minutes (range: 5 to 9999). The efficiency scores of the method are &lt; 4% for intra-assay and &lt; 7% for inter-assay. Three hundred microlitres of acetic acid (0.25%) and 3.6 ml of desionized water are added to 400 &#956;l plasma (final pH&#8776;5.9). The sample is then put into melting ice for 20 min and centrifuged at 4000 g for 10 min at 4&#176;C. The supernatant is discarded and the pellet is resuspended in 400 &#956;l of Owren-Koller buffer (DIAGNOSTICA STAGO<sup>&#174;</sup>, France). Clot formation starts when 100 &#956;l of thrombin (1.75 U/ml, DIAGNOSTICA STAGO<sup>&#174;</sup>) are added. Normal values are median 208 min (range, 118&#8211;303; n = 25) for men and median 117 min (range, 100&#8211;174; n = 21) for premenopausal women <abbrgrp><abbr bid="B11">11</abbr></abbrgrp>.</p>
         </sec>
         <sec>
            <st>
               <p>Statistics</p>
            </st>
            <p>We used SigmaStat<sup>&#174; </sup>3.5 (SPSS). The data are presented as median value and range [25%&#8211;75%]. Correlations between variables were analyzed using a Spearman correlation test. A multiple logistic regression model was used for survival analysis. A probability level of p &lt; 0.05 was considered as statistically significant.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>Results</p>
         </st>
         <p>Of the 49 patients, 18 had sepsis (11 pneumonia, 2 peritonitis, 2 skin infection, 1 urinary tract infection, 1 endocarditis and 1 mediastinitis); the 31 other patients had exacerbated chronic obstructive pulmonary disease (COPD) without evidence of sepsis (n = 21), postanoxic coma or stroke (n = 6), or heart failure (n = 4). Mortality was higher in septic than in non-septic patients (55% vs. 35.4%).</p>
         <p>The biological characteristics of the patients are shown in Table <tblr tid="T1">1</tblr>. Inflammatory variables, such as fibrinogen and CRP levels, were higher in the septic than in the non-septic patients. ECLT was also higher in the septic than in the non-septic patients. There was no significant difference in vWF between septic and non-septic patients.</p>
         <tbl id="T1">
            <title>
               <p>Table 1</p>
            </title>
            <caption>
               <p>Population characteristics.</p>
            </caption>
            <tblbdy cols="5">
               <r>
                  <c ca="center">
                     <p>Parameters</p>
                  </c>
                  <c ca="center">
                     <p>Values (all patients, n = 49)</p>
                  </c>
                  <c ca="center">
                     <p>Non sepsis</p>
                     <p>n = 31</p>
                  </c>
                  <c ca="center">
                     <p>Sepsis</p>
                     <p>n = 18</p>
                  </c>
                  <c ca="center">
                     <p>p</p>
                  </c>
               </r>
               <r>
                  <c cspan="5">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SAPS II</p>
                  </c>
                  <c ca="center">
                     <p>52.5 (45&#8211;63)</p>
                  </c>
                  <c ca="center">
                     <p>48 (38.5&#8211;64)</p>
                  </c>
                  <c ca="center">
                     <p>54 (49.2&#8211;62)</p>
                  </c>
                  <c ca="center">
                     <p>0.21</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SOFA</p>
                  </c>
                  <c ca="center">
                     <p>7 (5.7&#8211;10)</p>
                  </c>
                  <c ca="center">
                     <p>6.5 (5&#8211;9)</p>
                  </c>
                  <c ca="center">
                     <p>8 (6&#8211;10.2)</p>
                  </c>
                  <c ca="center">
                     <p>0.41</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>ECLT (min)</p>
                  </c>
                  <c ca="center">
                     <p>791 (609&#8211;1023)</p>
                  </c>
                  <c ca="center">
                     <p>665 (551&#8211;862)</p>
                  </c>
                  <c ca="center">
                     <p>1033 (871&#8211;1372)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>&lt; 0.001</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>vWF (%)</p>
                  </c>
                  <c ca="center">
                     <p>368 (293&#8211;490)</p>
                  </c>
                  <c ca="center">
                     <p>370 (289&#8211;450)</p>
                  </c>
                  <c ca="center">
                     <p>367 (294&#8211;513)</p>
                  </c>
                  <c ca="center">
                     <p>0.53</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>WBC (10<sup>3</sup>/&#956;l)</p>
                  </c>
                  <c ca="center">
                     <p>11 (8&#8211;14)</p>
                  </c>
                  <c ca="center">
                     <p>12.1 (8.3&#8211;14.3)</p>
                  </c>
                  <c ca="center">
                     <p>9.43 (7.7&#8211;16.3)</p>
                  </c>
                  <c ca="center">
                     <p>0.9</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Haemoglobin (g/dl)</p>
                  </c>
                  <c ca="center">
                     <p>10.3 (8.7&#8211;12.2)</p>
                  </c>
                  <c ca="center">
                     <p>10.7 (9.4&#8211;12.7)</p>
                  </c>
                  <c ca="center">
                     <p>9.7 (8&#8211;11.2)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>0.03</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Haematocrit (%)</p>
                  </c>
                  <c ca="center">
                     <p>32.5 (27.2&#8211;37.1)</p>
                  </c>
                  <c ca="center">
                     <p>32.7 (29.3&#8211;38.5)</p>
                  </c>
                  <c ca="center">
                     <p>31.7 (25.2&#8211;33)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>0.06</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Activated clotting time (sec)</p>
                  </c>
                  <c ca="center">
                     <p>42 (35&#8211;48)</p>
                  </c>
                  <c ca="center">
                     <p>37.5 (32.5&#8211;45.5)</p>
                  </c>
                  <c ca="center">
                     <p>48 (45&#8211;51)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>&lt; 0.001</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Fibrinogen (g/l)</p>
                  </c>
                  <c ca="center">
                     <p>4.8 (3.73&#8211;6)</p>
                  </c>
                  <c ca="center">
                     <p>4.2 (3.5&#8211;5.08)</p>
                  </c>
                  <c ca="center">
                     <p>6.1 (4.6&#8211;8.1)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>0.002</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Prothrombin time (%)</p>
                  </c>
                  <c ca="center">
                     <p>70 (57&#8211;77)</p>
                  </c>
                  <c ca="center">
                     <p>73 (65&#8211;82)</p>
                  </c>
                  <c ca="center">
                     <p>61 (48.5&#8211;71.2)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>0.006</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Platelet count (10<sup>3</sup>/&#956;l)</p>
                  </c>
                  <c ca="center">
                     <p>70.5 (57.5&#8211;77)</p>
                  </c>
                  <c ca="center">
                     <p>250 (141&#8211;290)</p>
                  </c>
                  <c ca="center">
                     <p>267 (194&#8211;322)</p>
                  </c>
                  <c ca="center">
                     <p>0.27</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Total bilirubin (mg/dl)</p>
                  </c>
                  <c ca="center">
                     <p>0.62 (0.41&#8211;0.91)</p>
                  </c>
                  <c ca="center">
                     <p>0.7 (0.42&#8211;0.96)</p>
                  </c>
                  <c ca="center">
                     <p>0.58 (0.39&#8211;0.85)</p>
                  </c>
                  <c ca="center">
                     <p>0.52</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>C-reactive protein (mg/dl</p>
                  </c>
                  <c ca="center">
                     <p>9.37 (4.4&#8211;23.4)</p>
                  </c>
                  <c ca="center">
                     <p>6.44 (2.8&#8211;11.8)</p>
                  </c>
                  <c ca="center">
                     <p>24.5 (15.5&#8211;34.6)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>&lt; 0.001</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Urea (mg/dl)</p>
                  </c>
                  <c ca="center">
                     <p>62.3 (40.05&#8211;78.15)</p>
                  </c>
                  <c ca="center">
                     <p>59 (39.6&#8211;75.1)</p>
                  </c>
                  <c ca="center">
                     <p>74 (44&#8211;78)</p>
                  </c>
                  <c ca="center">
                     <p>0.27</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Creatinine (mg/dl)</p>
                  </c>
                  <c ca="center">
                     <p>1.02 (0.65&#8211;1.57)</p>
                  </c>
                  <c ca="center">
                     <p>1.01 (0.6&#8211;1.5)</p>
                  </c>
                  <c ca="center">
                     <p>1.3 (0.65&#8211;1.83)</p>
                  </c>
                  <c ca="center">
                     <p>0.59</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>ICU mortality</p>
                  </c>
                  <c ca="center">
                     <p>22 (42.3%)</p>
                  </c>
                  <c ca="center">
                     <p>11 (35.4%)</p>
                  </c>
                  <c ca="center">
                     <p>11 (55.5%)</p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>0.05</b>
                     </p>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p>Data shown as median (25%&#8211;75%), except for ICU mortality which is shown as absolute n (%). ECLT: Euglobulin Clot Lysis Time; WBC: White blood cells; SOFA: sequential organ failure assessment; SAPS: simplified acute physiology score; vWF: von Willebrand factor</p>
            </tblfn>
         </tbl>
         <p>In the whole population, there was a significant correlation between ECLT and CRP levels (n = 49, r = 0.678, p &lt; 0.001, fig <figr fid="F1">1A</figr>) and between ECLT and SOFA score (r = 0.39, p = 0.009, fig <figr fid="F1">1B</figr>). There was a weak correlation between vWF and CRP levels (r = 0.29; p = 0.04), but not between vWF and either ECLT (r = -0.06, p = 0.65) or the SOFA score (r = -0.02, p = 0.88).</p>
         <fig id="F1">
            <title>
               <p>Figure 1</p>
            </title>
            <caption>
               <p>Relationships between CRP, SOFA and ECLT (A and B respectively)</p>
            </caption>
            <text>
               <p><b>Relationships between CRP, SOFA and ECLT (A and B respectively)</b>.</p>
            </text>
            <graphic file="1477-9560-7-10-1"/>
         </fig>
         <p>Table <tblr tid="T2">2</tblr> shows the correlations between SOFA score, SAPS II score, vWF levels and ECLT in non-septic and septic patients. The relationship between SOFA score and ECLT remained significant in the non-septic patients (r = 0.45, p = 0.01) and was almost significant in the septic patients (r = 0.39, p = 0.11). Other correlations were not significant.</p>
         <tbl id="T2">
            <title>
               <p>Table 2</p>
            </title>
            <caption>
               <p>correlations between SOFA, SAPS and ECLT.</p>
            </caption>
            <tblbdy cols="3">
               <r>
                  <c ca="left">
                     <p>Correlations</p>
                  </c>
                  <c ca="center">
                     <p>Non-sepsis</p>
                     <p>n = 31</p>
                  </c>
                  <c ca="center">
                     <p>Sepsis</p>
                     <p>n = 18</p>
                  </c>
               </r>
               <r>
                  <c cspan="3">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SOFA/ECLT</p>
                  </c>
                  <c ca="center">
                     <p>0.45 (0.01)</p>
                  </c>
                  <c ca="center">
                     <p>0.39 (0.11)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SAPS/ECLT</p>
                  </c>
                  <c ca="center">
                     <p>0.12 (0.54)</p>
                  </c>
                  <c ca="center">
                     <p>-0.13 (0.61)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SOFA/vWF</p>
                  </c>
                  <c ca="center">
                     <p>0.1 (0.58)</p>
                  </c>
                  <c ca="center">
                     <p>-0.009 (0.96)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SAPS/vWF</p>
                  </c>
                  <c ca="center">
                     <p>0.06 (0.76)</p>
                  </c>
                  <c ca="center">
                     <p>-0.13 (0.62)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>ECLT/vWF</p>
                  </c>
                  <c ca="center">
                     <p>-0.18 (0.32)</p>
                  </c>
                  <c ca="center">
                     <p>0.007 (0.97)</p>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p>Spearman Rank correlations: R (p)</p>
            </tblfn>
         </tbl>
         <p>A multiple logistic regression model was used to evaluate the ICU death event (Table <tblr tid="T3">3</tblr>). The SAPS II (p = 0.048) and ECLT (p = 0.049) were retained in the multiple logistic regression as explanatory variables for ICU mortality.</p>
         <tbl id="T3">
            <title>
               <p>Table 3</p>
            </title>
            <caption>
               <p>Multiple logistic regression evaluating ICU mortality.</p>
            </caption>
            <tblbdy cols="6">
               <r>
                  <c ca="left">
                     <p>Variables</p>
                  </c>
                  <c ca="center">
                     <p>Coef (B)</p>
                  </c>
                  <c ca="center">
                     <p>Std error</p>
                  </c>
                  <c ca="center">
                     <p>Wald X<sup>2 </sup>(p)</p>
                  </c>
                  <c ca="center">
                     <p>OR</p>
                  </c>
                  <c ca="center">
                     <p>95%CI</p>
                  </c>
               </r>
               <r>
                  <c cspan="6">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Intercept</p>
                  </c>
                  <c ca="center">
                     <p>-6.6</p>
                  </c>
                  <c ca="center">
                     <p>2.98</p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Sepsis</p>
                  </c>
                  <c ca="center">
                     <p>-1.19</p>
                  </c>
                  <c ca="center">
                     <p>1.09</p>
                  </c>
                  <c ca="center">
                     <p>1.19 (0.27)</p>
                  </c>
                  <c ca="center">
                     <p>0.3</p>
                  </c>
                  <c ca="center">
                     <p>0.03&#8211;2.58</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SOFA</p>
                  </c>
                  <c ca="center">
                     <p>-0.16</p>
                  </c>
                  <c ca="center">
                     <p>0.20</p>
                  </c>
                  <c ca="center">
                     <p>0.62 (0.43)</p>
                  </c>
                  <c ca="center">
                     <p>0.85</p>
                  </c>
                  <c ca="center">
                     <p>0.57&#8211;1.27</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SAPS II</p>
                  </c>
                  <c ca="center">
                     <p>0.09</p>
                  </c>
                  <c ca="center">
                     <p>0.05</p>
                  </c>
                  <c ca="center">
                     <p>3.89 (<b>0.048</b>)</p>
                  </c>
                  <c ca="center">
                     <p>1.105</p>
                  </c>
                  <c ca="center">
                     <p>1.001&#8211;1.21</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>ECLT</p>
                  </c>
                  <c ca="center">
                     <p>0.04</p>
                  </c>
                  <c ca="center">
                     <p>0.002</p>
                  </c>
                  <c ca="center">
                     <p>3.87 (<b>0.049</b>)</p>
                  </c>
                  <c ca="center">
                     <p>1</p>
                  </c>
                  <c ca="center">
                     <p>1&#8211;1.009</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>vWF</p>
                  </c>
                  <c ca="center">
                     <p>-0.0002</p>
                  </c>
                  <c ca="center">
                     <p>0.002</p>
                  </c>
                  <c ca="center">
                     <p>0.004 (0.94)</p>
                  </c>
                  <c ca="center">
                     <p>1</p>
                  </c>
                  <c ca="center">
                     <p>0.99&#8211;1.005</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>CRP</p>
                  </c>
                  <c ca="center">
                     <p>-0.03</p>
                  </c>
                  <c ca="center">
                     <p>0.04</p>
                  </c>
                  <c ca="center">
                     <p>0.4 (0.52)</p>
                  </c>
                  <c ca="center">
                     <p>0.96</p>
                  </c>
                  <c ca="center">
                     <p>0.88&#8211;1.068</p>
                  </c>
               </r>
            </tblbdy>
         </tbl>
      </sec>
      <sec>
         <st>
            <p>Discussion</p>
         </st>
         <p>Several studies have reported a relationship between coagulation abnormalities, organ dysfunction and mortality in critically ill patients <abbrgrp><abbr bid="B12">12</abbr><abbr bid="B13">13</abbr><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr><abbr bid="B16">16</abbr></abbrgrp>, but the role of fibrinolysis has not been well studied. Fibrinolytic activity is primarily determined by the balance between t-PA and PAI-1 levels. ECs are responsible for the production and release of t-PA and contribute to the release of PAI-1. Multiple factors, including lipoproteins, cytokines and inflammatory markers, modulate EC production of t-PA and PAI-1 <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>. There are several reasons why decreased fibrinolysis could be considered as a surrogate marker of EC dysfunction, organ failure and mortality <abbrgrp><abbr bid="B18">18</abbr><abbr bid="B19">19</abbr><abbr bid="B20">20</abbr></abbrgrp>. Indeed, the deposition of fibrin on confluent ECs causes EC aggregation and disorganization of the monolayer, thus increasing permeability <abbrgrp><abbr bid="B21">21</abbr><abbr bid="B22">22</abbr></abbrgrp>. In addition, fibrin is also a potent stimulus for EC production and release of IL-8, a leucocyte chemotactic factor <abbrgrp><abbr bid="B23">23</abbr></abbrgrp>.</p>
         <p>In a large retrospective analysis of 1789 ICU patients, Okabayashi et al <abbrgrp><abbr bid="B12">12</abbr></abbrgrp> reported that the SOFA score was correlated with antithrombin concentrations (r = 0.32, p &lt; 0.05), prothrombin fragment concentration (r = 0.4, p &lt; 0.001) and fibrinolysis as assessed by t-PA-PAI-1 complexes (r = 0.52, p &lt; 0.001). Mavrommatis et al <abbrgrp><abbr bid="B24">24</abbr></abbrgrp> studied the activation of fibrinolysis in septic patients during the first day in the ICU, and observed that t-PA/PAI-1 complexes (4.7 &#177; 0.6 vs 2.1 &#177; 0.2 ng/mL) and the percentage of fibrinogen/fibrin degradation products (100 vs 57%) were higher in patients with septic shock than in those without (all p &lt; 0.001). These authors also observed a greater activation of fibrinolysis, as reflected by decreased plasminogen activity (41.6 &#177; 3.3 vs 87.4 &#177; 3.2%) and increased t-PA and PAI-1 concentrations <abbrgrp><abbr bid="B24">24</abbr></abbrgrp>.</p>
         <p>ECLT is a global test for fibrinolysis, representing the balance between t-PA and PAI-1 activities. Previously considered as an imprecise method, we have been able to improve the precision and reproducibility of the test with a new semi-automatic device <abbrgrp><abbr bid="B11">11</abbr></abbrgrp>. Moreover, in contrast to that of vWF (12 h) <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>, the half-lives of t-PA (3&#8211;4 min) and PAI-1 (10 min) are very short, suggesting that ECLT could be an instantaneous marker of clinical status. We previously showed that ECLT was related to the number of cardiovascular risk factors (hypertension, smoking habit, diabetes, history of coronary event or stroke, menopausal status) <abbrgrp><abbr bid="B26">26</abbr></abbrgrp> and suggested that ECLT could be a surrogate marker of endothelial dysfunction.</p>
         <p>The present study confirms the previously described <abbrgrp><abbr bid="B6">6</abbr></abbrgrp> relationship between ECLT and CRP concentrations. This relationship could be explained by the simple fact that CRP reflects the severity of sepsis and the risk of organ failure. Alternatively, there may be a more pathophysiologic explanation, as CRP can act directly on the endothelium and modulates fibrinolysis <abbrgrp><abbr bid="B4">4</abbr><abbr bid="B5">5</abbr></abbrgrp>. Another mechanism for the prolonged lysis time in septic patients could be related to the effects of systemic inflammation on the liver, causing activation of various cells and release of cytokines influencing the production of fibrinogen and PAI-1 <abbrgrp><abbr bid="B27">27</abbr><abbr bid="B28">28</abbr></abbrgrp>.</p>
         <p>We did not observe, in our population, a significant correlation between ECLT and SAPS II score, as a severity score, but the number of patients was limited and the mortality was quite high in the non-septic group who had significant co-morbidities.</p>
         <p>Circulating plasma vWF is derived exclusively from the endothelium (with some minor expression by megakaryocytes). vWF can be produced by ECs when they are stimulated or damaged by various stimuli, including inflammatory cytokines (e.g., interleukin-1 or tumour necrosis factor), hypoxia, thrombin, histamine and leucocyte elastase <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>. Increased levels of vWF are also influenced by substances like adrenaline (epinephrine), vasopressin, and even cyclosporin <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>. Plasma levels of vWF have been considered as a marker of endothelial dysfunction and damage, although this is controversial <abbrgrp><abbr bid="B30">30</abbr></abbrgrp> and results from studies that have correlated plasma levels of vWF, severity of inflammation and patient outcome are inconsistent <abbrgrp><abbr bid="B30">30</abbr></abbrgrp>. Ware et al <abbrgrp><abbr bid="B31">31</abbr></abbrgrp> reported in 559 patients with acute lung injury and/or with acute respiratory distress syndrome that vWF levels were not different in patients with or without sepsis (p = 0.82). In contrast, Kayal et al <abbrgrp><abbr bid="B32">32</abbr></abbrgrp> observed that vWF plasma levels were significantly higher in patients with severe infection (n = 25) than in non-infected patients (n = 7) (p &lt; 0.001). In the present study, there was no significant difference in vWf antigen between septic and non-septic patients. These data confirm that vWF is a somewhat controversial marker of sepsis.</p>
         <p>Although, SAPS II and ECLT were retained as explanatory variables of ICU mortality in the multiple logistic regression model, these results must be interpreted carefully in light of the small sample size.</p>
         <p>This study has some limitations, including the small sample size and the single-centre nature. Nevertheless, these are interesting data and should be validated in larger heterogeneous populations.</p>
         <p>In conclusion, ECLT measurements could represent a marker of alterations in EC function and of organ dysfunction and may be a useful prognostic factor in critically ill patients.</p>
      </sec>
      <sec>
         <st>
            <p>Abbreviations</p>
         </st>
         <p>COPD: Chronic Obstructive Pulmonary Disease; CRP: C-reactive Protein; ECLT: Euglobulin Clot Lysis Time; ECs: Endothelial Cells; ICU: Intensive Care Unit; PAI-1: Plasminogen Activator Inhibitor-1; SAPS II: Simplified Acute Physiology Score II; SOFA: Sequential Organ Failure Assessment; t-PA: tissue Plasminogen Activator; vWF: von Willebrand Factor</p>
      </sec>
      <sec>
         <st>
            <p>Competing interests</p>
         </st>
         <p>The authors declare that they have no competing interests.</p>
      </sec>
      <sec>
         <st>
            <p>Authors' contributions</p>
         </st>
         <p>KZB: Laboratory analysis, writing of the manuscript and design of the study. SO: patient recruitment. MP: writing and analysis of results. PB: recruitment of patients. PC: laboratory analysis. JLV: analysis of the study. DB: coordination and design. MV: statistical analysis and coordination.</p>
         <p>All authors read and approved the final manuscript.</p>
      </sec>
   </bdy>
   <bm>
      <ack>
         <sec>
            <st>
               <p>Acknowledgements</p>
            </st>
            <p>This work was supported by grants from the intercommunale de Sant&#233; Publique du Pays de Charleroi (Experimental Medicine Laboratory) and from Institut de Recherche en Pathologie et G&#233;n&#233;tique (IRSPG) Gosselie, Belgium.</p>
            <p>This work was presented in part at the Spring Meeting of the Belgian Society of Intensive Care Medicine (SIZ) held in Montigny-le-Tilleul in June 2006.</p>
         </sec>
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