<?xml version="1.0" encoding="utf8"?>
 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JCRC</journal-id>
      <journal-title-group>
        <journal-title>Journal of Colon And Rectal Cancer</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2471-7061</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JCRC-18-2446</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2471-7061.jcrc-18-2446</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Preoperative and Postoperative N-terminal Pro B-type Natriuretic Peptide Levels Predict Cardiac Morbidity and Mortality in Patients Undergoing Colorectal Cancer Resection</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Haney</surname>
            <given-names>Youssef</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850847076">1</xref>
          <xref ref-type="aff" rid="idm1850850964">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Enrique</surname>
            <given-names>Collantes</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850845996">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>James</surname>
            <given-names>Hunter</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850745500">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Julie</surname>
            <given-names>Stinson</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850748092">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Steve</surname>
            <given-names>Smith</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850747372">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Nigel</surname>
            <given-names>Stallard</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850864612">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Martin</surname>
            <given-names>Been</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850864540">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ling</surname>
            <given-names>Wong</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850864036">8</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1850847076">
        <label>1</label>
        <addr-line>Consultant Colorectal Surgeon, University Hospital Birmingham Good Hope Hospital</addr-line>
      </aff>
      <aff id="idm1850845996">
        <label>2</label>
        <addr-line>Core Trainee in Anaesthetics, Hommerton University Hospital NHS Foundation Trust, Hommerton Row, London</addr-line>
      </aff>
      <aff id="idm1850745500">
        <label>3</label>
        <addr-line>Specialist Trainee in General Surgery, Northampton General Hospital NHS Trust, Cliftonville Northampton</addr-line>
      </aff>
      <aff id="idm1850748092">
        <label>4</label>
        <addr-line>Senior Clinical Biochemist, University Hospital Coventry and Warwickshire NHS Trust</addr-line>
      </aff>
      <aff id="idm1850747372">
        <label>5</label>
        <addr-line>Consultant Biochemist, University Hospital Coventry and Warwickshire NHS Trust</addr-line>
      </aff>
      <aff id="idm1850864612">
        <label>6</label>
        <addr-line>Professor of Medical Statistics, Warwick Medical School, Health Sciences Research Institute
Warwick Medical School, The University of Warwick Coventry, CV4 7AL </addr-line>
      </aff>
      <aff id="idm1850864540">
        <label>7</label>
        <addr-line>Associate Professor Warwick Medical School, Consultant Cardiologist, University Hospital Coventry and                   Warwickshire NHS Trust, Clifford Bridge Road Coventry, CV2 2DX</addr-line>
      </aff>
      <aff id="idm1850864036">
        <label>8</label>
        <addr-line>Consultant Colorectal Surgeon, University Hospital Coventry and Warwickshire NHS Trust</addr-line>
      </aff>
      <aff id="idm1850850964">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Leonardo</surname>
            <given-names>Bustamante-Lopez</given-names>
          </name>
          <xref ref-type="aff" rid="idm1850584564">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1850584564">
        <label>1</label>
        <addr-line>Sao Paulo University, Brazil </addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Haney Youssef, <addr-line>Consultant Colorectal Surgeon, University Hospital Birmingham Good Hope Hospital, Rectory Road, Sutton Coldfield, B75 7RR</addr-line>, Tel: <phone>0121 424</phone><phone>9387</phone>  Email: <email>haney.youssef@heartofengland.nhs.uk</email></corresp>
        <fn fn-type="conflict" id="idm1841620836">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2019-01-03">
        <day>03</day>
        <month>01</month>
        <year>2019</year>
      </pub-date>
      <volume>1</volume>
      <issue>3</issue>
      <fpage>1</fpage>
      <lpage>9</lpage>
      <history>
        <date date-type="received">
          <day>29</day>
          <month>10</month>
          <year>2018</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>12</month>
          <year>2018</year>
        </date>
        <date date-type="online">
          <day>03</day>
          <month>01</month>
          <year>2019</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2018</copyright-year>
        <copyright-holder>Haney Youssef, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/jcrc/article/948">This article is available from http://openaccesspub.org/jcrc/article/948</self-uri>
      <abstract>
        <sec id="idm1850581540">
          <title>Introduction:</title>
          <p>Cardiac complications are a major cause of perioperative morbidity and mortality in patients undergoing colorectal cancer surgery. A quick and reliable system for predicting postoperative cardiac morbidity is needed to predict cardiac events in order to improve outcome in surgery. The aim of this study was to investigate the role of the biochemical marker NT-proBNP in the prediction of postoperative all-cause mortality, cardiac-related mortality and cardiovascular events in patients undergoing colorectal cancer resections. </p>
        </sec>
        <sec id="idm1850581252">
          <title>Methods: </title>
          <p>100 consecutive patients undergoing colorectal cancer surgery were prospectively recruited.  Blood samples were taken preoperatively, 24h, 48h and 5-7 postoperative days to measure NT-proBNP levels. The predictive power of NT-proBNP levels was assessed using Receiver Operating Characteristics (ROC) curves. </p>
        </sec>
        <sec id="idm1850581972">
          <title>Results: </title>
          <p>Cardiac-related morbidity and mortality was 9%. Of eleven deaths, 5 were cardiac-related. Preoperative NT-proBNP was a good predictor of death with ROC area under curve (AUC) of 0.83 (95% C.I. 0.673, 0.993) a strong predictor of cardiac death with AUC of 0.914 (95% C.I. 0.823, 1.000) and a good predictor of cardiac complications with AUC of 0.875 (95% C.I. 0.757, 0.993). NT-proBNP levels 24 hours and 48 hours postoperatively were also strongly predictive of postoperative cardiac morbidity and mortality.</p>
        </sec>
        <sec id="idm1850579100">
          <title>Conclusion: </title>
          <p>Pre- and postoperative NT-proBNP have a role in predicting postoperative death and cardiac complications. This may have significant implications in the planning of postoperative care for high-risk patients.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>NT-proBNP</kwd>
      </kwd-group>
      <counts>
        <fig-count count="3"/>
        <table-count count="4"/>
        <page-count count="9"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1850578956" sec-type="intro">
      <title>Introduction</title>
      <p>Cardiac complications are a major cause of perioperative morbidity and mortality in patients undergoing colorectal cancer surgery.<xref ref-type="bibr" rid="ridm1842510292">1</xref>The prediction of these cardiac events is notoriously difficult, but essential, as determining the stage of heart disease may lead to different management choices, such as angiotensin converting enzyme inhibitors or b blockers<xref ref-type="bibr" rid="ridm1842511516">2</xref>. These treatments can delay or reverse progression of disease and therefore may improve prognosis by reducing postoperative complications. </p>
      <p>One important aim of preoperative evaluation is to identify patients with significant coronary artery disease who may be at risk of cardiac complications following surgery. Many studies have looked into factors that might adversely affect these cardiac events and they include increasing age, New York Heart Association class, left ventricular ejection fractions, diabetes mellitus and lower blood pressure.<xref ref-type="bibr" rid="ridm1842522796">3</xref> Some of these risk indices have been developed into preoperative cardiac risk scoring systems such as revised cardiac risk index (RCRI)<xref ref-type="bibr" rid="ridm1842618156">4</xref> and Goldman cardiac index.<xref ref-type="bibr" rid="ridm1842367164">5</xref> Other methods of assessing cardiac risks such as dobutamine cardiac stress testing and echocardiography are highly sensitive but are expensive and often limited by time and availability of resources. Furthermore, the Government has set a challenging target for the NHS, that by December 2008, no patient should wait more than 18 weeks from the time of GP referral to the start of hospital treatment. These tests could potentially delay surgery and would therefore not be suitable for                    pre-operative surgical patients. A quick and reliable system for predicting postoperative cardiac morbidity is needed to predict cardiac events in order to improve the outcome of surgery. </p>
      <p>Recent published literature has indicated that Brain Natriuretic Peptide (BNP) and its related compound, N-terminal fragment pro B-type Natriuretic Peptide (NT-proBNP), can be used to identify patients at high risk of developing major adverse cardiac events following non-cardiac surgery.<xref ref-type="bibr" rid="ridm1842371844">6</xref> BNP is synthesized by human cardiac myocytes as a 108-amino acid                   prohormone (proBNP), which is cleaved to the                      32-residue BNP and the 76-residue NT-proBNP.<xref ref-type="bibr" rid="ridm1842359172">7</xref> Both BNP and NT-proBNP can be used as sensitive biomarkers of cardiac dysfunction<xref ref-type="bibr" rid="ridm1842359172">7</xref> and have been used as preoperative predictors of cardiac morbidity in cardiac<xref ref-type="bibr" rid="ridm1842355500">8</xref> and non-cardiac surgery<xref ref-type="bibr" rid="ridm1842371844">6</xref><xref ref-type="bibr" rid="ridm1842344948">9</xref><xref ref-type="bibr" rid="ridm1842344300">10</xref>. The biochemical markers BNP and NT-proBNP are available as   commercial assays.</p>
      <p>The aim of this study was to investigate the role of the biochemical marker NT-proBNP in the prediction of postoperative all-cause mortality, cardiac-related mortality and cardiovascular events in patients undergoing colorectal cancer resections. </p>
    </sec>
    <sec id="idm1850576940" sec-type="methods">
      <title>Methods</title>
      <p>The study was approved by the regional ethics committee and hospital research and development department. Between September 2006 and October 2007, 100 consecutive patients undergoing elective colorectal cancer resection who gave consent were recruited to the study.  All patients had preoperative cardiac risk stratification using the revised cardiac risk index, which stratifies patients into classes I – IV.<xref ref-type="bibr" rid="ridm1842618156">4</xref><xref ref-type="table" rid="idm1842857060">Table 1</xref> shows the risk index variables and the risk of cardiac complications for respective classes. Serum                     measurements were taken preoperatively and postoperatively at days 1, 2 and 5-7, for NT-proBNP and cardiac troponin-T (Tn-T). Clinical assessment and ECGs were also performed preoperatively and postoperatively at days 1, 2 and 5-7. To avoid bias, all tests and clinical assessments were performed by a clinical researcher who was not involved in patients’ care. </p>
      <table-wrap id="idm1842857060">
        <label>Table 1.</label>
        <caption>
          <title> Cardiac risk in Non-cardiac surgery according to the revised cardiac risk index4</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Revised Cardiac Risk Index (RCRI) Class</td>
              <td>Number of variables</td>
              <td>Risk of Cardiac Complications (%)</td>
            </tr>
            <tr>
              <td>I</td>
              <td>0</td>
              <td>0.4</td>
            </tr>
            <tr>
              <td>II</td>
              <td>1</td>
              <td>0.9</td>
            </tr>
            <tr>
              <td>III</td>
              <td>2</td>
              <td>6.6</td>
            </tr>
            <tr>
              <td>IV</td>
              <td>&gt;2</td>
              <td>11</td>
            </tr>
            <tr>
              <td colspan="3">RCRI Variables: high-risk type of surgery, history of ischemic heart disease, history of congestive heart      failure, history of cerebrovascular disease, preoperative treatment with insulin, and preoperative serum creatinine &gt;2.0 mg/dL</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Cardiac complications included acute myocardial infarction, silent myocardial infarction, acute coronary syndrome, heart failure and cardiac arrhythmias. The diagnosis of heart failure required a clinical diagnosis of heart failure and radiological evidence of pulmonary oedema. All ECGs were read by an experienced consultant cardiologist. Where cardiac complications were identified by the researcher, this was                communicated to the clinical team looking after the patient for immediate referral to a cardiologist.</p>
      <p>Data were also prospectively collected on type of resection undertaken, postoperative histology and postoperative complications. Surgery was carried out by one of four colorectal firms in all cases. </p>
      <sec id="idm1850557260">
        <title>Assay</title>
        <p>Serum NT-proBNP levels were measured using a sandwich immunoassay principle utilising a biotinylated antibody; streptavidin-coated and streptavidin-coated microparticles, with electrochemical detection of the bound complex via the rare earth ruthenium. The normal NT-proBNP value using this assay is &lt;40 pmol/L.</p>
      </sec>
      <sec id="idm1850557188">
        <title>Statistics</title>
        <p>The value of preoperative NT-proBNP, 24 hours postoperative NT-proBNP and 48 hours postoperative     NT-proBNP levels as predictors for overall death, cardiac death and cardiac complications were assessed using Receiver Operator Characteristic (ROC) curves.  The area under each ROC curve (i.e. AUC) was calculated. A perfect predictive score will be equal to one. A score showing good predictive value will have a value &gt; 0.8. The sensitivities, specificities, negative predictive values (npv) and positive predictive values (ppv) were also calculated for NT-proBNP value cut-off levels of 40 pmol/L and 90 pmol/L.</p>
      </sec>
    </sec>
    <sec id="idm1850559060" sec-type="results">
      <title>Results</title>
      <p>Of the 100 patients recruited, 66 were male and 34 were female, with a median age of 72 years (range 39-90). <xref ref-type="table" rid="idm1842837980">Table 2</xref> shows the different types of colorectal operations performed along with their postoperative histology results. </p>
      <table-wrap id="idm1842837980">
        <label>Table 2.</label>
        <caption>
          <title> Baseline Patient characteristics</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td colspan="2">Characteristic </td>
              <td>Number of Patients</td>
            </tr>
            <tr>
              <td>Operation    </td>
              <td>Right sided resection</td>
              <td>42</td>
            </tr>
            <tr>
              <td/>
              <td>Anterior resection</td>
              <td>36</td>
            </tr>
            <tr>
              <td/>
              <td>APR</td>
              <td>5</td>
            </tr>
            <tr>
              <td/>
              <td>Left sided other</td>
              <td>15</td>
            </tr>
            <tr>
              <td/>
              <td>Other</td>
              <td>2</td>
            </tr>
            <tr>
              <td>Postoperative histology    </td>
              <td>A</td>
              <td>13</td>
            </tr>
            <tr>
              <td/>
              <td>B</td>
              <td>51</td>
            </tr>
            <tr>
              <td/>
              <td>C1</td>
              <td>23</td>
            </tr>
            <tr>
              <td/>
              <td>C2</td>
              <td>10</td>
            </tr>
            <tr>
              <td/>
              <td>Other</td>
              <td>3</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <sec id="idm1850542004">
        <title>Adverse Outcomes</title>
        <p>Of the 100 patients, there were 11                   postoperative deaths, of which 5 were due to cardiac causes. These included 4 myocardial infarctions and one patient with acute left ventricular failure and atrial fibrillation. There were 9 patients with cardiac complications including the 5 cardiac-related deaths.</p>
        <p><xref ref-type="table" rid="idm1842783548">Table 3</xref> shows the distribution of cardiac complications, cardiac deaths and other deaths according to risk stratification using the RCRI. Out of 76 patients stratified to RCRI class II, there were 2 cardiac deaths, 3 non-cardiac deaths and 4 cardiac                          complications (survivors). In this class of risk, this corresponded to a 7.9% (6/76) cardiac complication rate, compared with 0.9% predicted by the RCRI.</p>
        <table-wrap id="idm1842783548">
          <label>Table 3.</label>
          <caption>
            <title> The distribution of cardiac complications, cardiac deaths and other deaths according to risk stratification using the Revised Cardiac Risk Index (RCRI)</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>RCRI Class</td>
                <td>Number of                 Patients</td>
                <td>Cardiac                                          complications-survivors</td>
                <td>Cardiac deaths</td>
                <td>Other deaths</td>
              </tr>
              <tr>
                <td>I</td>
                <td>0</td>
                <td>0</td>
                <td>0</td>
                <td>0</td>
              </tr>
              <tr>
                <td>II</td>
                <td>76</td>
                <td>4</td>
                <td>2</td>
                <td>3</td>
              </tr>
              <tr>
                <td>III</td>
                <td>15</td>
                <td>0</td>
                <td>1</td>
                <td>2</td>
              </tr>
              <tr>
                <td>IV</td>
                <td>9</td>
                <td>0</td>
                <td>2</td>
                <td>1</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>The causes of non-cardiac death (n=6) were pneumonia (n=2), MRSA sepsis from necrotic toe (n=1), Clostridium difficile sepsis (n=1), diarrhoea sepsis (n=1) and sepsis leading to MOF (n=1).</p>
        <sec id="idm1850506580">
          <title>Postoperative Tn-T</title>
          <p>Tn-T levels were elevated in 11 patients within 1 week postoperatively. Death from MI accounted for 4, there were 2 silent MI’s, 4 mild Tn elevations indicating minor myocardial injury (but not diagnostic of myocardial infarction) and 1 mild elevation from a patient who died from pneumonia leading to multiorgan failure.</p>
        </sec>
        <sec id="idm1850508452">
          <title>Preoperative NT-proBNP as a Predictor</title>
          <p>For all-cause mortality, the ROC curve AUC was 0.83 (95% c.i. 0.673, 0.993), making preoperative                 NT-proBNP a good predictor of postoperative death (<xref ref-type="fig" rid="idm1842756292">Figure 1</xref>).For cardiac death, the AUC                                    was 0.914 (95% c.i. 0.823, 1.000), making preoperative NT-proBNP a very strong predictor of postoperative cardiac death (<xref ref-type="fig" rid="idm1842756652">Figure 2</xref>).For cardiac complications (deaths and survivors) the AUC was 0.875 (95% c.i. 0.757, 0.993), making preoperative NT-proBNP a good predictor of postoperative cardiac complications                               (<xref ref-type="fig" rid="idm1842754348">Figure 3</xref>). </p>
          <fig id="idm1842756292">
            <label>Figure 1.</label>
            <caption>
              <title> Pre-operative NT-proBNP as a                   predictor of death</title>
            </caption>
            <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
          </fig>
          <fig id="idm1842756652">
            <label>Figure 2.</label>
            <caption>
              <title> Pre-operative NT-proBNP as a                      predictor of cardiac death</title>
            </caption>
            <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
          </fig>
          <fig id="idm1842754348">
            <label>Figure 3.</label>
            <caption>
              <title> Pre-operative NT-proBNP as a predictor of cardiac complications</title>
            </caption>
            <graphic xlink:href="images/image3.jpg" mime-subtype="jpg"/>
          </fig>
        </sec>
      </sec>
      <sec id="idm1850518892">
        <title>Postoperative NT-proBNP as a Predictor</title>
        <p>NT-proBNP values 24h post op were poorly predictive of death from all causes with AUC=0.754 (95% c.i. 0.575, 0.934), but were good predictors of cardiac death and cardiac complications, with                     AUC = 0.876 (95% c.i. 0.683, 1.000) and                         0.840 (95% c.i. 0.659, 1.000) respectively. </p>
        <p>NT-proBNP values 48h post op, were not good predictors of death from all causes with AUC=0.748 (95% c.i. 0.560, 0.936). However for prediction of cardiac mortality AUC was 0.907 (95% c.i. 0.807, 1.000) making it a strong predictor. For cardiac complications 48h NT-proBNP levels were very strongly predictive (Figure 9) with, AUC=0.939 (95% c.i. 0.878, 0.999).</p>
        <p><xref ref-type="table" rid="idm1842751396">Table 4</xref> shows the sensitivity, specificity, ppv and npv of preoperative and postoperative NT-proBNP at predicting the outcomes. Generally, increasing the                            cut-off value from 40 to 90 pmol/l increases the specificity of the test, but lowers the sensitivity. The tests had a high negative predictive value, but low positive predictive value.</p>
        <table-wrap id="idm1842751396">
          <label>Table 4.</label>
          <caption>
            <title> The AUC, sensitivity, specificity, ppv and npv of preoperative and postoperative NT-proBNP levels in the prediction of outcomes.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Time point of </td>
                <td>Predicted Variable</td>
                <td>Area under the curve (AUC)</td>
                <td colspan="4">Using NT-proBNP cut-off &gt; 40pmol/l</td>
                <td colspan="4">Using NT-proBNP cut-off &gt; 90pmol/l</td>
              </tr>
              <tr>
                <td>NT-proBNP measureent</td>
                <td/>
                <td/>
                <td>sens</td>
                <td>spec</td>
                <td>ppv</td>
                <td>npv</td>
                <td>sens</td>
                <td>spec</td>
                <td>ppv</td>
                <td>npv</td>
              </tr>
              <tr>
                <td>Preoperative</td>
                <td>Death</td>
                <td>0.83</td>
                <td>73%</td>
                <td>80%</td>
                <td>31%</td>
                <td>96%</td>
                <td>55%</td>
                <td>92%</td>
                <td>46%</td>
                <td>94%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.673-0.993)</td>
                <td>(46-99)</td>
                <td>(71-88)</td>
                <td>(13-49)</td>
                <td>(91-100)</td>
                <td>(25-84)</td>
                <td>(87-98)</td>
                <td>(19-73)</td>
                <td>(89-99)</td>
              </tr>
              <tr>
                <td/>
                <td>Cardiac death</td>
                <td>0.914</td>
                <td>80%</td>
                <td>77%</td>
                <td>15%</td>
                <td>99%</td>
                <td>80%</td>
                <td>91%</td>
                <td>31%</td>
                <td>99%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.823-1.000)</td>
                <td>(45-100)</td>
                <td>(68-85)</td>
                <td>(2-29)</td>
                <td>(96-100)</td>
                <td>(45-100)</td>
                <td>(85-96)</td>
                <td>(6-56)</td>
                <td>(97-100)</td>
              </tr>
              <tr>
                <td/>
                <td>Cardiac Complications</td>
                <td>0.875</td>
                <td>75%</td>
                <td>78%</td>
                <td>23%</td>
                <td>97%</td>
                <td>75%</td>
                <td>92%</td>
                <td>46%</td>
                <td>98%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.757-0.993)</td>
                <td>(45-100)</td>
                <td>(70-87)</td>
                <td>(7-39)</td>
                <td>(94-100)</td>
                <td>(45-100)</td>
                <td>(87-98)</td>
                <td>(19-73)</td>
                <td>(95-100)</td>
              </tr>
              <tr>
                <td>24h postoperative</td>
                <td>Death</td>
                <td>0.754</td>
                <td>91%</td>
                <td>38%</td>
                <td>15%</td>
                <td>97%</td>
                <td>64%</td>
                <td>72%</td>
                <td>22%</td>
                <td>94%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.575-0.934)</td>
                <td>(74-100)</td>
                <td>(28-48)</td>
                <td>(7-24)</td>
                <td>(92-100)</td>
                <td>(35-92)</td>
                <td>(63-81)</td>
                <td>(8-36)</td>
                <td>(89-100)</td>
              </tr>
              <tr>
                <td/>
                <td>Cardiac death</td>
                <td>0.876</td>
                <td>100%</td>
                <td>37%</td>
                <td>8%</td>
                <td>100%</td>
                <td>80%</td>
                <td>71%</td>
                <td>13%</td>
                <td>99%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.683-1.000)</td>
                <td>(100-00)</td>
                <td>(27-47)</td>
                <td>(1-14)</td>
                <td>(100-00)</td>
                <td>(45-100)</td>
                <td>(61-80)</td>
                <td>(1-24)</td>
                <td>(96-100)</td>
              </tr>
              <tr>
                <td/>
                <td>Cardiac Complications</td>
                <td>0.84</td>
                <td>88%</td>
                <td>37%</td>
                <td>11%</td>
                <td>97%</td>
                <td>75%</td>
                <td>72%</td>
                <td>19%</td>
                <td>97%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.659-1.000)</td>
                <td>(65-100)</td>
                <td>(27-47)</td>
                <td>(3-18)</td>
                <td>(92-100)</td>
                <td>(45-100)</td>
                <td>(63-81)</td>
                <td>(5-32)</td>
                <td>(93-100)</td>
              </tr>
              <tr>
                <td>48h postoperative</td>
                <td>Death</td>
                <td>0.748</td>
                <td>90%</td>
                <td>25%</td>
                <td>12%</td>
                <td>96%</td>
                <td>70%</td>
                <td>58%</td>
                <td>16%</td>
                <td>94%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.560-0.936)</td>
                <td>(71-100)</td>
                <td>(16-34)</td>
                <td>(5-19)</td>
                <td>(87-100)</td>
                <td>(42-98)</td>
                <td>(48-68)</td>
                <td>(5-27)</td>
                <td>(88-100)</td>
              </tr>
              <tr>
                <td/>
                <td>Cardiac death</td>
                <td>0.907</td>
                <td>100%</td>
                <td>24%</td>
                <td>5%</td>
                <td>100%</td>
                <td>100%</td>
                <td>57%</td>
                <td>9%</td>
                <td>100%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.807-1.000)</td>
                <td>(100-00)</td>
                <td>(16-33)</td>
                <td>(0.2-10)</td>
                <td>(100-00)</td>
                <td>(100-00)</td>
                <td>(47-67)</td>
                <td>(0.6-18)</td>
                <td>(100-00)</td>
              </tr>
              <tr>
                <td/>
                <td>Cardiac Complications</td>
                <td>0.939</td>
                <td>100%</td>
                <td>25%</td>
                <td>9%</td>
                <td>100%</td>
                <td>100%</td>
                <td>59%</td>
                <td>16%</td>
                <td>100%</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(0.876-0.999)</td>
                <td>(100-00)</td>
                <td>(16-34)</td>
                <td>(3-16)</td>
                <td>(100-00)</td>
                <td>(100-00)</td>
                <td>(49-69)</td>
                <td>(5-27)</td>
                <td>(100-00)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1850389260">
              <label/>
              <p>Numbers in parentheses are 95% confidence intervals</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec id="idm1850389908" sec-type="discussion">
      <title>Discussion</title>
      <p>Emerging data from published literature indicates that preoperative measurement of BNP and    NT-proBNP is a good predictor for complications after cardiac surgery <xref ref-type="bibr" rid="ridm1842355500">8</xref><xref ref-type="bibr" rid="ridm1842330532">11</xref> and non-cardiac               surgery.<xref ref-type="bibr" rid="ridm1842344948">9</xref><xref ref-type="bibr" rid="ridm1842325708">12</xref><xref ref-type="bibr" rid="ridm1842323836">13</xref><xref ref-type="bibr" rid="ridm1842334348">14</xref>Patients having both cardiac and vascular surgery have high rates of cardiac disease and the role of BNP as a predictor of postoperative events in high risk cardiac patients having non-cardiac surgery has previously been described.<xref ref-type="bibr" rid="ridm1842333124">15</xref></p>
      <p>This study has demonstrated that both                    pre-operative and postoperative measurement of                  NT-proBNP can help in identifying patients at high risk of major adverse events following colorectal cancer surgery. Pre-operative NT-proBNP levels may be able to predict the pre-operative cardiac status of patients but do not necessary reflect the variable dynamic sequences of postoperative stress responses which may result in adverse cardiac events. On the other hand, the postoperative measurement of NT-proBNP takes these factors into consideration, particularly with respect to the risk of cardiac death or cardiac complications.</p>
      <p>The use of NT-proBNP as a predictive                  preoperative biochemical marker has significant potential clinical applications. It is envisaged that patients with high preoperative NT-proBNP levels, indicating a high risk of postoperative cardiovascular events, could be referred for cardiac optimisation. Valuable hospital resources, such as the use of intensive care monitoring, can also be targeted for patients who fall in this group. It remains to be seen whether such interventions would have any effect on patient morbidity or mortality. In our study, the greatest power of the preoperative                       NT-proBNP value was as a negative predictor. This means that normal NT-proBNP values were associated with low risks of cardiac events. This seems to correlate with the results found in heart failure where the European Society of Cardiology Task force guidelines for the treatment of chronic heart failure state that natriuretic peptides “may be most useful clinically as a rule out test due to consistent and very high negative predictive values.”<xref ref-type="bibr" rid="ridm1842312492">16</xref> A potential application of this test would be to identify patients not requiring high dependency or intensive care post-operatively from the point of view of their cardiac function, if their                       pre-operative NT-proBNP levels were less than 90pmol/l.</p>
      <p>In our study, 11 patients (11%) had a rise in           Tn-T post-operatively, 6 of which were not apparent clinically and 2 of which were diagnosed as silent myocardial infarctions. These 2 patients were referred to cardiologists and treated for myocardial infarction, with appropriate cardiology follow-up. The routine                    measurement of post operative Tn-T, although useful for these 2 patients, may not be justified in the routine care of these patients when the cost of the test is considered. However, this has not been formally assessed in a               cost-benefit analysis. Previous work on higher risk patients, undergoing elective and emergency aortic aneurysm repair, has yielded much higher proportions of patients having Tn-T rises postoperatively.<xref ref-type="bibr" rid="ridm1842309756">17</xref> There may be more justification in routine post operative Tn-T measurement in these patients.</p>
      <p>The study has several limitations. Firstly, it was carried out in one centre, so it may not be possible to apply the results of this study to another population because of different prevalence of cardiac disease. Secondly data on confounding factors such as intraoperative blood loss and surgical contamination was not collected in this study. These could potentially heavily influence the outcome after surgery.                   Remarkably, there were no anastomotic leaks diagnosed in this series of patients. It is possible  that some of these cardiac complications could be attributed to undiagnosed leaks, as one previous study demonstrated that approximately 40% of patients having cardiac symptoms following a restorative colorectal resection, in fact had suffered an anastomotic leak.<xref ref-type="bibr" rid="ridm1842305364">18</xref></p>
      <p>The NT-proBNP test is safe and convenient, requiring only a routine venepuncture. Currently a routine NT-proBNP test will cost the NHS £25.00 per patient and this is relatively cheap to screen some of the high-risk patients. However, there are no data to support the use of NT-proBNP in the general screening of asymptomatic populations for heart failure prior to surgery. What is clear from our study is that NT-proBNP measurements are useful as an adjunct to other clinical tools to determine the risks of patients undergoing              non-cardiac surgery. With the current emerging evidence, NT-proBNP has the potential to be used in clinical practice. Patients with high risks of                 cardiovascular disease should have a screening                    NT-proBNP blood test. Patients with elevated NT-proBNP should be referred to a cardiologist for consideration of additional stress testing or echocardiogram, to assess the presence and extent of coronary artery disease. Conversely patients with normal NT-proBNP tests have the potential to avoid unnecessary patient referral for echocardiography or stress testing.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ridm1842510292">
        <label>1.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Bokey</surname>
            <given-names>E L</given-names>
          </name>
          <name>
            <surname>Chapuis</surname>
            <given-names>P H</given-names>
          </name>
          <name>
            <surname>Fung</surname>
            <given-names>C</given-names>
          </name>
          <name>
            <surname>Hughes</surname>
            <given-names>W J</given-names>
          </name>
          <name>
            <surname>Koorey</surname>
            <given-names>S G</given-names>
          </name>
          <name>
            <surname>Brewer</surname>
            <given-names>D</given-names>
          </name>
          <article-title>Postoperative morbidity and mortality following resection of the colon and rectum for cancer. Diseases of the Colon &amp; Rectum</article-title>
          <date>
            <year>1995</year>
          </date>
          <volume>38</volume>
          <issue>5</issue>
          <fpage>480</fpage>
          <lpage>6</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842511516">
        <label>2.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Eagle</surname>
            <given-names>K A</given-names>
          </name>
          <name>
            <surname>Berger</surname>
            <given-names>P B</given-names>
          </name>
          <name>
            <surname>Calkins</surname>
            <given-names>H</given-names>
          </name>
          <name>
            <surname>Chaitman</surname>
            <given-names>B R</given-names>
          </name>
          <name>
            <surname>Ewy</surname>
            <given-names>G A</given-names>
          </name>
          <name>
            <surname>Fleischmann</surname>
            <given-names>K E</given-names>
          </name>
          <article-title>ACC/AHA Guideline Update for Perioperative Cardiovascular Evaluation for Noncardiac Surgery--Executive Summary. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the1996Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery).[see comment]. Anesthesia &amp; Analgesia</article-title>
          <date>
            <year>2002</year>
          </date>
          <volume>94</volume>
          <issue>5</issue>
          <fpage>1052</fpage>
          <lpage>64</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842522796">
        <label>3.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Doust</surname>
            <given-names>J A</given-names>
          </name>
          <name>
            <surname>Pietrzak</surname>
            <given-names>E</given-names>
          </name>
          <name>
            <surname>Dobson</surname>
            <given-names>A</given-names>
          </name>
          <name>
            <surname>Glasziou</surname>
            <given-names>P</given-names>
          </name>
          <article-title>How well does B-type natriuretic peptide predict death and cardiac events in patients with heart failure: systematic review.[see comment]</article-title>
          <date>
            <year>2005</year>
          </date>
          <source>Bmj</source>
          <volume>330</volume>
          <issue>7492</issue>
          <fpage>19</fpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842618156">
        <label>4.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Lee</surname>
            <given-names>T H</given-names>
          </name>
          <name>
            <surname>Marcantonio</surname>
            <given-names>E R</given-names>
          </name>
          <name>
            <surname>Mangione</surname>
            <given-names>C M</given-names>
          </name>
          <name>
            <surname>Thomas</surname>
            <given-names>E J</given-names>
          </name>
          <name>
            <surname>Polanczyk</surname>
            <given-names>C A</given-names>
          </name>
          <name>
            <surname>Cook</surname>
            <given-names>E F</given-names>
          </name>
          <article-title>Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation</article-title>
          <date>
            <year>1999</year>
          </date>
          <volume>100</volume>
          <issue>10</issue>
          <fpage>1043</fpage>
          <lpage>9</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842367164">
        <label>5.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Goldman</surname>
            <given-names>L</given-names>
          </name>
          <name>
            <surname>Caldera</surname>
            <given-names>D L</given-names>
          </name>
          <name>
            <surname>Nussbaum</surname>
            <given-names>S R</given-names>
          </name>
          <name>
            <surname>Southwick</surname>
            <given-names>F S</given-names>
          </name>
          <name>
            <surname>Krogstad</surname>
            <given-names>D</given-names>
          </name>
          <name>
            <surname>Murray</surname>
            <given-names>B</given-names>
          </name>
          <article-title>Multifactorial index of cardiac risk in noncardiac surgical procedures</article-title>
          <date>
            <year>1977</year>
          </date>
          <source>New England Journal of Medicine</source>
          <volume>297</volume>
          <issue>16</issue>
          <fpage>845</fpage>
          <lpage>50</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842371844">
        <label>6.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Gibson</surname>
            <given-names>S C</given-names>
          </name>
          <name>
            <surname>Payne</surname>
            <given-names>C J</given-names>
          </name>
          <name>
            <surname>Byrne</surname>
            <given-names>D S</given-names>
          </name>
          <name>
            <surname>Berry</surname>
            <given-names>C</given-names>
          </name>
          <name>
            <surname>Dargie</surname>
            <given-names>H J</given-names>
          </name>
          <name>
            <surname>Kingsmore</surname>
            <given-names>D B</given-names>
          </name>
          <article-title>B-type natriuretic peptide predicts cardiac morbidity and mortality after major surgery</article-title>
          <date>
            <year>2007</year>
          </date>
          <source>British Journal of Surgery</source>
          <volume>94</volume>
          <issue>7</issue>
          <fpage>903</fpage>
          <lpage>9</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842359172">
        <label>7.</label>
        <mixed-citation xlink:type="simple" publication-type="book">
          <name>
            <surname>Vuolteenaho</surname>
            <given-names>O</given-names>
          </name>
          <name>
            <surname>Ala-Kopsala</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>Ruskoaho</surname>
            <given-names>H</given-names>
          </name>
          <article-title>BNP as a biomarker in heart disease</article-title>
          <date>
            <year>2005</year>
          </date>
          <chapter-title>Advances in Clinical Chemistry</chapter-title>
          <volume>40</volume>
          <fpage>1</fpage>
          <lpage>36</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842355500">
        <label>8.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Eliasdottir</surname>
            <given-names>S B</given-names>
          </name>
          <name>
            <surname>Klemenzson</surname>
            <given-names>G</given-names>
          </name>
          <name>
            <surname>Torfason</surname>
            <given-names>B</given-names>
          </name>
          <name>
            <surname>Valsson</surname>
            <given-names>F</given-names>
          </name>
          <article-title>Brain natriuretic peptide is a good predictor for outcome in cardiac surgery. Acta Anaesthesiologica Scandinavica</article-title>
          <date>
            <year>2008</year>
          </date>
          <volume>52</volume>
          <issue>2</issue>
          <fpage>182</fpage>
          <lpage>7</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842344948">
        <label>9.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Feringa</surname>
            <given-names>H H</given-names>
          </name>
          <name>
            <surname>Bax</surname>
            <given-names>J J</given-names>
          </name>
          <name>
            <surname>Elhendy</surname>
            <given-names>A</given-names>
          </name>
          <name>
            <surname>R</surname>
            <given-names>de Jonge</given-names>
          </name>
          <name>
            <surname>Lindemans</surname>
            <given-names>J</given-names>
          </name>
          <name>
            <surname>Schouten</surname>
            <given-names>O</given-names>
          </name>
          <article-title>Association of plasma N-terminal pro-B-type natriuretic peptide with postoperative cardiac events in patients undergoing surgery for abdominal aortic aneurysm or leg bypass</article-title>
          <date>
            <year>2006</year>
          </date>
          <source>American Journal of Cardiology</source>
          <volume>98</volume>
          <issue>1</issue>
          <fpage>111</fpage>
          <lpage>5</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842344300">
        <label>10.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Yeh</surname>
            <given-names>H M</given-names>
          </name>
          <name>
            <surname>Lau</surname>
            <given-names>H P</given-names>
          </name>
          <name>
            <surname>Lin</surname>
            <given-names>J M</given-names>
          </name>
          <name>
            <surname>Sun</surname>
            <given-names>W Z</given-names>
          </name>
          <name>
            <surname>Wang</surname>
            <given-names>M J</given-names>
          </name>
          <name>
            <surname>Lai</surname>
            <given-names>L P</given-names>
          </name>
          <article-title>Preoperative plasma N-terminal pro-brain natriuretic peptide as a marker of cardiac risk in patients undergoing elective non-cardiac surgery.[see comment]</article-title>
          <date>
            <year>2005</year>
          </date>
          <source>British Journal of Surgery</source>
          <volume>92</volume>
          <issue>8</issue>
          <fpage>1041</fpage>
          <lpage>5</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842330532">
        <label>11.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Hutfless</surname>
            <given-names>R</given-names>
          </name>
          <name>
            <surname>Kazanegra</surname>
            <given-names>R</given-names>
          </name>
          <name>
            <surname>Madani</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>Bhalla</surname>
            <given-names>M A</given-names>
          </name>
          <name>
            <surname>Tulua-Tata</surname>
            <given-names>A</given-names>
          </name>
          <name>
            <surname>Chen</surname>
            <given-names>A</given-names>
          </name>
          <article-title>Utility of B-type natriuretic peptide in predicting postoperative complications and outcomes in patients undergoing heart surgery</article-title>
          <date>
            <year>2004</year>
          </date>
          <source>Journal of the American College of Cardiology</source>
          <volume>43</volume>
          <issue>10</issue>
          <fpage>1873</fpage>
          <lpage>9</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842325708">
        <label>12.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Mahla</surname>
            <given-names>E</given-names>
          </name>
          <name>
            <surname>Baumann</surname>
            <given-names>A</given-names>
          </name>
          <name>
            <surname>Rehak</surname>
            <given-names>P</given-names>
          </name>
          <name>
            <surname>Watzinger</surname>
            <given-names>N</given-names>
          </name>
          <name>
            <surname>Vicenzi</surname>
            <given-names>M N</given-names>
          </name>
          <name>
            <surname>Maier</surname>
            <given-names>R</given-names>
          </name>
          <article-title>N-terminal pro-brain natriuretic peptide identifies patients at high risk for adverse cardiac outcome after vascular surgery.[see comment]. Anesthesiology</article-title>
          <date>
            <year>2007</year>
          </date>
          <volume>106</volume>
          <issue>6</issue>
          <fpage>1088</fpage>
          <lpage>95</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842323836">
        <label>13.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Rajagopalan</surname>
            <given-names>S</given-names>
          </name>
          <name>
            <surname>Croal</surname>
            <given-names>B L</given-names>
          </name>
          <name>
            <surname>Bachoo</surname>
            <given-names>P</given-names>
          </name>
          <name>
            <surname>Hillis</surname>
            <given-names>G S</given-names>
          </name>
          <name>
            <surname>Cuthbertson</surname>
            <given-names>B H</given-names>
          </name>
          <name>
            <surname>Brittenden</surname>
            <given-names>J</given-names>
          </name>
          <article-title>N-terminal pro B-type natriuretic peptide is an independent predictor of postoperative myocardial injury in patients undergoing major vascular surgery</article-title>
          <date>
            <year>2008</year>
          </date>
          <source>Journal of Vascular Surgery</source>
          <volume>48</volume>
          <issue>4</issue>
          <fpage>912</fpage>
          <lpage>7</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842334348">
        <label>14.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Rodseth</surname>
            <given-names>R N</given-names>
          </name>
          <name>
            <surname>Padayachee</surname>
            <given-names>L</given-names>
          </name>
          <name>
            <surname>Biccard</surname>
            <given-names>B M</given-names>
          </name>
          <article-title>A meta-analysis of the utility of pre-operative brain natriuretic peptide in predicting early and intermediate-term mortality and major adverse cardiac events in vascular surgical patients. Anaesthesia</article-title>
          <date>
            <year>2008</year>
          </date>
          <volume>63</volume>
          <issue>11</issue>
          <fpage>1226</fpage>
          <lpage>33</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842333124">
        <label>15.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Leibowitz</surname>
            <given-names>D</given-names>
          </name>
          <name>
            <surname>Planer</surname>
            <given-names>D</given-names>
          </name>
          <name>
            <surname>Rott</surname>
            <given-names>D</given-names>
          </name>
          <name>
            <surname>Elitzur</surname>
            <given-names>Y</given-names>
          </name>
          <name>
            <surname>Chajek-Shaul</surname>
            <given-names>T</given-names>
          </name>
          <name>
            <surname>Weiss</surname>
            <given-names>A T</given-names>
          </name>
          <article-title>Brain natriuretic peptide levels predict perioperative events in cardiac patients undergoing noncardiac surgery: a prospective study. Cardiology</article-title>
          <date>
            <year>2008</year>
          </date>
          <volume>110</volume>
          <issue>4</issue>
          <fpage>266</fpage>
          <lpage>70</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842312492">
        <label>16.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Remme</surname>
            <given-names>W J</given-names>
          </name>
          <name>
            <surname>Swedberg</surname>
            <given-names>K</given-names>
          </name>
          <article-title>European Society of C. Comprehensive guidelines for the diagnosis and treatment of chronic heart failure. Task force for the diagnosis and treatment of chronic heart failure of the European Society of Cardiology</article-title>
          <date>
            <year>2002</year>
          </date>
          <source>European Journal of Heart Failure</source>
          <volume>4</volume>
          <issue>1</issue>
          <fpage>11</fpage>
          <lpage>22</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842309756">
        <label>17.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Haggart</surname>
            <given-names>P C</given-names>
          </name>
          <name>
            <surname>Adam</surname>
            <given-names>D J</given-names>
          </name>
          <name>
            <surname>Ludman</surname>
            <given-names>P F</given-names>
          </name>
          <name>
            <surname>Bradbury</surname>
            <given-names>A W</given-names>
          </name>
          <article-title>Comparison of cardiac troponin I and creatine kinase ratios in the detection of myocardial injury after aortic surgery</article-title>
          <date>
            <year>2001</year>
          </date>
          <source>British Journal of Surgery</source>
          <volume>88</volume>
          <issue>9</issue>
          <fpage>1196</fpage>
          <lpage>200</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842305364">
        <label>18.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Sutton</surname>
            <given-names>C D</given-names>
          </name>
          <name>
            <surname>Marshall</surname>
            <given-names>L J</given-names>
          </name>
          <name>
            <surname>Williams</surname>
            <given-names>N</given-names>
          </name>
          <name>
            <surname>Berry</surname>
            <given-names>D P</given-names>
          </name>
          <name>
            <surname>Thomas</surname>
            <given-names>W M</given-names>
          </name>
          <name>
            <surname>Kelly</surname>
            <given-names>M J</given-names>
          </name>
          <article-title>Colo-rectal anastomotic leakage often masquerades as a cardiac complication. Colorectal Disease</article-title>
          <date>
            <year>2004</year>
          </date>
          <volume>6</volume>
          <issue>1</issue>
          <fpage>21</fpage>
          <lpage>2</lpage>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
