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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.0" specific-use="sps-1.6" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Arq Bras Cardiol</journal-id>
      <journal-id journal-id-type="publisher-id">abc</journal-id>
      <journal-title-group>
        <journal-title>Arquivos Brasileiros de Cardiologia</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Arq. Bras. Cardiol.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0066-782X</issn>
      <issn pub-type="epub">1678-4170</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia - SBC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">nXF5zbfScpMqTJShJWsXkrS</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S0066-782X2017001400466</article-id>
      <article-id pub-id-type="doi">10.5935/abc.20170153</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Comparison of Secondary Prevention Status between Percutaneous Coronary Intervention and Coronary Artery Bypass Patients</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Gao</surname>
            <given-names>Xia-qing</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>LI</surname>
            <given-names>Yanfang</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jiang</surname>
            <given-names>Zhi-li</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Capital Medical University</institution>
        <institution content-type="orgdiv1">Beijing Anzhen Hospital</institution>
        <addr-line>
          <named-content content-type="city">Beijing</named-content>
        </addr-line>
        <country country="CN">China</country>
        <institution content-type="original">Beijing Anzhen Hospital - Capital Medical University, Beijing - China</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Beijing Institute of Heart Lung and Blood Vessel Diseases</institution>
        <addr-line>
          <named-content content-type="city">Beijing</named-content>
        </addr-line>
        <country country="CN">China</country>
        <institution content-type="original">Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing - China</institution>
      </aff>
      <author-notes>
        <corresp id="c1"><bold>Mailing Address: Yanfang LI &#8226;</bold> Beijing Anzhen Hospital of Capital Medical University, Anzhen Street. 100029, Beijing - China. E-mail: <email>422655835@qq.com</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Author contributions</bold>
          </p>
          <p>Conception and design of the research and Acquisition of data: Xia-qing Gao, Yan-fang Li, Zhi-li Jiang; Analysis and interpretation of the data and Writing of the manuscript: Xia-qing Gao; Statistical analysis: Xia-qing Gao, Zhi-li Jiang; Obtaining financing and Critical revision of the manuscript for intellectual content: Yan-fang Li.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub-ppub">
        <month>11</month>
        <year>2017</year>
      </pub-date>
      <volume>109</volume>
      <issue>5</issue>
      <fpage>466</fpage>
      <lpage>474</lpage>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>01</month>
          <year>2017</year>
        </date>
        <date date-type="rev-recd">
          <day>13</day>
          <month>06</month>
          <year>2017</year>
        </date>
        <date date-type="accepted">
          <day>13</day>
          <month>06</month>
          <year>2017</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Data are scarce regarding disparities in cardiovascular risk factor management between patients treated with percutaneous coronary intervention (PCI) and those treated with coronary artery bypass grafting (CABG).</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>Whether the goal achievement rates of cardiovascular risk factors were different between PCI and CABG patients.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>We retrospectively reviewed the data retrieved from a clinical record database of patients admitted to Beijing Anzhen Hospital between January 1, 2014, and December 31, 2014, who underwent PCI or CABG.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>Compared with the CABG group, low-density lipoprotein cholesterol (LDL-C) &lt; 1.8 mmol/L (28.6% vs. 24.7%; p &lt; 0.01), LDL-C &lt; 2.07 mmol/L (43.5% vs. 39.4%; p &lt; 0.01) and blood pressure (BP) &lt; 140/90 mm Hg (85.6% vs. 77.7%; p &lt; 0.01) goal achievement rates were significantly higher in the PCI group. Compared with patients &#8805; 60 years old: patients &lt; 60 years old had better BP &lt; 140/90 mm Hg goal achievement rates (87.7% vs. 84.4%; p &lt; 0.01) in the PCI group, and better fasting blood-glucose (FBG) &lt; 7 mmol/L (79.4% vs.72.0%; p &lt; 0.01) and HbA1c &lt; 7% (79.4% vs. 70.1%; p &lt; 0.01) goal achievement rates in the CABG group. Compared with females: males had better LDL-C &lt; 2.07 mmol/L (24.7% vs. 28.5%; p &lt; 0.01), FBG &lt; 7 mmol/L (71.8% vs.75.2%; p &lt; 0.01) and HbA1c &lt; 7% (70.4% vs. 74.1%; p &lt; 0.01) goal achievement rates in the PCI group.</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>Patients in the PCI group were generally more likely than those in the CABG group to achieve LDL-C &lt; 1.8 mmol/L and BP goals. The control of cardiovascular risk factors differed between patients &#8805; 60 years old and &lt; 60 years old. Female patients were less likely to achieve LDL-C, FBG and HbA1c goals.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords</title>
        <kwd>Percutaneous Coronary Intervention</kwd>
        <kwd>Coronary Artery Bypass</kwd>
        <kwd>Myocardial Revascularization</kwd>
        <kwd>Risk Factors</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>National Nature Science Foundaction of China</funding-source>
          <award-id>81270380</award-id>
        </award-group>
        <funding-statement>This study was funded by National Nature Science Foundaction of China (N&#186;. 81270380).</funding-statement>
      </funding-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>In China, the number of patients who undergo coronary revascularization increases with cardiovascular disease outbreaks. Percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) are two major coronary revascularization procedures. Although PCI and CABG have saved plenty of lives, they do not prevent the progression of arterial atherosclerosis, and major events and secondary revascularization rates remain high in patients 5 years later.<xref ref-type="bibr" rid="B1">1</xref> Taking secondary preventive drugs is important for those patients.<xref ref-type="bibr" rid="B2">2</xref><sup>,</sup><xref ref-type="bibr" rid="B3">3</xref>
			</p>
      <p>Roughly 14,000 patients underwent CABG or PCI in Beijing Anzhen Hospital every year. However, in practice, we found that cardiovascular physicians and cardiothoracic surgeons have different concerns with respect to long-term prognosis, which might influence the prescription of secondary preventive drugs and further leads to unbalanced control of coronary artery disease (CAD)-related risk factors, such as LDL-C, blood pressure (BP), fasting blood-glucose (FBG), and hemoglobin A1c (HbA1c), in PCI and CABG patients. In addition, previous studies have reported that the control of cardiovascular risk factors was different in different age groups and different sex. We hypothesized that patients who have undergone CABG would be less likely than patients who have undergone PCI to achieve lipid, FBG, HbA1c and BP goals. We assessed the goal attainment and clinical outcomes in PCI and CABG patients, and the goal achievement rates in patients &#8805; 60 years old and &lt; 60 years old, females and males.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Source population</title>
        <p>This retrospective study enrolled 14,230 patients who underwent PCI (n = 9,866) or CABG (n = 4,364) in Beijing Anzhen Hospital between January 1, 2014, and December 31, 2014. The index date was that of the revascularization procedure. We excluded patients (n = 7,707) aged &lt; 18 years with a history of coronary revascularization, malignant tumor, multiple organ dysfunction syndrome, or organ transplantation, without complete demographic data, without continued drug prescription record, or whose second lipid level values were not available after the index date. A total of 6,523 patients were ultimately included in the analysis and matched by propensity score.</p>
      </sec>
      <sec>
        <title>Data collection</title>
        <p>Clinical information was retrieved from computerized clinical records, and relevant clinical data were extracted up to December 31, 2015, the start of the data collection period. We obtained the following data: age; sex; history of present illness; comorbidities (hypertension, diabetes, stroke, peripheral vascular disease, chronic kidney disease); cardiovascular disease-related risk factors (smoking, drinking, obesity); coronary artery lesions (SYNTAX score); lipid, BP, FBG and HbA1c levels before discharge and during follow-up. Date of cardiac death, recurrent acute coronary syndrome (ACS), stroke, non-fatal acute myocardial infarction (AMI), and revascularization were also collected for the patient outcome analysis. Composite endpoints were defined as cardiac death, recurrent ACS, and stroke. Recurrent ACS was defined as recurrent non-fatal AMI and unstable angina. Lipid, BP, FBG and HbA1c levels before discharge were defined as lipid, BP, FBG and HbA1c levels before the coronary revascularization procedure, while lipid, BP, FBG and HbA1c levels during follow-up were defined as the most recently lipid, BP, FBG and HbA1c levels (at least 3 months after discharge) if there was no endpoint event, and lipid, BP, FBG and HbA1c levels during re-hospitalization if there was an endpoint event. Hypertension, diabetes, dyslipidemia, stroke, peripheral vascular disease, chronic kidney disease, alcohol heavy drinking, and obesity were defined as published previously.<xref ref-type="bibr" rid="B4">4</xref> The follow-up period of each individual from the discharge date until December 31, 2015, was also calculated. Lipid goal attainment was defined as an LDL-C &lt; 1.8 mmol/L (70 mg/dL) and non-high-density lipoprotein cholesterol (HDL-C) &lt; 2.6 mmol/L (100 mg/dL),<xref ref-type="bibr" rid="B5">5</xref> or LDL-C &lt; 2.07 mmol/L (80 mg/dL) and non-HDL-C &lt; 2.8 mmol/L (110 mg/dL).<xref ref-type="bibr" rid="B6">6</xref> The FBG goal attainment was defined as FBG &lt; 7.0 mmol/L; HbA1c &lt; 7%. Blood pressure goal attainment was defined as BP &lt; 140/90 mm Hg.<xref ref-type="bibr" rid="B7">7</xref>
				</p>
        <p>This study was approved by the Beijing Anzhen Hospital Ethics Committee.</p>
      </sec>
      <sec>
        <title>Statistical methods</title>
        <p>Propensity scores were estimated using a multiple logistic regression analysis. PCI and CABG patients were 1:1 matched using the nearest neighbor matching method. Continuous variables with normal distribution were presented as mean &#177; standard deviation, and those with non-normal distribution were presented as median and interquartile range. Categorical variables were depicted as absolute numbers and percentages. K-S test was used to verify the normality of the data. Continuous variables were compared using the Wilcoxon signed rank test or a paired <italic>t</italic> test, and categorical variables were compared using the chi-square test. Kaplan-Meier survival curves were used to compare the cumulative incidence of composite endpoint events. Cox regression analysis was performed to evaluate the influence of baseline covariates on composite outcomes. The log-rank test was performed before Cox regression. Variables with P values &#8804; 0.10 were candidates for the multivariate model. Covariates included in Cox regression analysis were as follows: age, sex, hypertension, diabetes mellitus, dyslipidemia, smoking, stroke, peripheral artery disease, chronic kidney disease, body mass index (BMI), left ventricular ejection fraction (EF), SYNTAX score, and achievement of LDL-C, FBG, HbA1c and BP goals. All analyses were performed with SPSS (version 22.0; IBM, Armonk, NY, USA). All tests were two-tailed, and P values &lt; 0.05 were considered statistically significant.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Baseline characteristics</title>
        <p>A total of 6,523 (PCI = 4,728; CABG = 1,795) patients were enrolled in the study. Compared to patients in the PCI group, those in the CABG group were older and more likely to have a history of diabetes and stroke; less likely to have a history of hypertension, and dyslipidemia; and presented lower BMI, HDL-C level and left ventricular EF, and higher SYNTAX score. A total of 1,790 matched patient pairs were created after propensity-score matching was performed for the entire population. The baseline characteristics did not differ significantly between the PCI and CABG groups after the propensity-score matching (<xref ref-type="table" rid="t1">Table 1</xref>).</p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <title>Baseline characteristics of patients in PCI and CABG groups</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
            </colgroup>
            <thead>
              <tr style="border-bottom-style:solid;border-bottom-width:thin">
                <th align="left" rowspan="2">
								</th>
                <th align="center" colspan="3">Total population</th>
                <th align="center" colspan="3">Propensity-matched population</th>
              </tr>
              <tr>
                <th align="left">PCI n = 4728</th>
                <th align="center">CABG n = 1795</th>
                <th align="center">p value</th>
                <th align="center">PCI n = 1790</th>
                <th align="center">CABG n = 1790</th>
                <th align="center">p value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">Age (years)</td>
                <td align="center">58.9 &#177; 10.2</td>
                <td align="center">61.9 &#177; 9.0</td>
                <td align="center">&lt; 0.01</td>
                <td align="center">62.0 &#177; 9.9</td>
                <td align="center">61.9 &#177; 9.0</td>
                <td align="center">0.68</td>
              </tr>
              <tr>
                <td align="left">Sex (male)</td>
                <td align="center">3499(74.0)</td>
                <td align="center">1353(75.4)</td>
                <td align="center">0.26</td>
                <td align="center">1369(76.5)</td>
                <td align="center">1349(75.4)</td>
                <td align="center">0.43</td>
              </tr>
              <tr>
                <td align="left">Hypertension</td>
                <td align="center">2394(61.2)</td>
                <td align="center">1073(59.8)</td>
                <td align="center">&lt; 0.01</td>
                <td align="center">1068(59.6)</td>
                <td align="center">1072(59.9)</td>
                <td align="center">0.87</td>
              </tr>
              <tr>
                <td align="left">Diabetes</td>
                <td align="center">1461(30.9)</td>
                <td align="center">634(35.3)</td>
                <td align="center">0.001</td>
                <td align="center">632(35.3)</td>
                <td align="center">630(35.5)</td>
                <td align="center">0.94</td>
              </tr>
              <tr>
                <td align="left">Dyslipidemia</td>
                <td align="center">3749(79.3)</td>
                <td align="center">1361(75.8)</td>
                <td align="center">0.002</td>
                <td align="center">1360(76.0)</td>
                <td align="center">1348(75.3)</td>
                <td align="center">0.64</td>
              </tr>
              <tr>
                <td align="left">Stroke</td>
                <td align="center">265(5.6)</td>
                <td align="center">169(9.4)</td>
                <td align="center">&lt; 0.01</td>
                <td align="center">150(8.4)</td>
                <td align="center">168(9.4)</td>
                <td align="center">0.29</td>
              </tr>
              <tr>
                <td align="left">PVD</td>
                <td align="center">52(1.1)</td>
                <td align="center">23(1.3)</td>
                <td align="center">0.54</td>
                <td align="center">27(1.5)</td>
                <td align="center">23(1.3)</td>
                <td align="center">0.57</td>
              </tr>
              <tr>
                <td align="left">CKD</td>
                <td align="center">33(0.7)</td>
                <td align="center">9(0.5)</td>
                <td align="center">0.38</td>
                <td align="center">7(0.4)</td>
                <td align="center">9(0.5)</td>
                <td align="center">0.62</td>
              </tr>
              <tr>
                <td align="left">Smoking</td>
                <td align="center">2392(50.6)</td>
                <td align="center">863(48.1)</td>
                <td align="center">0.07</td>
                <td align="center">848(47.4)</td>
                <td align="center">863(48.2)</td>
                <td align="center">0.62</td>
              </tr>
              <tr>
                <td align="left">BMI</td>
                <td align="center">26.5 &#177; 3.4</td>
                <td align="center">25.4 &#177; 2.9</td>
                <td align="center">&lt; 0.01</td>
                <td align="center">25.3 &#177; 3.3</td>
                <td align="center">25.4 &#177; 2.9</td>
                <td align="center">0.57</td>
              </tr>
              <tr>
                <td align="left">LVEF (%)</td>
                <td align="center">62.2 &#177; 8.3</td>
                <td align="center">60.4 &#177; 9.0</td>
                <td align="center">&lt; 0.01</td>
                <td align="center">60.7 &#177; 9.1</td>
                <td align="center">60.5 &#177; 9.0</td>
                <td align="center">0.50</td>
              </tr>
              <tr>
                <td align="left">SYNTAX score</td>
                <td align="center">23.4 &#177; 9.3</td>
                <td align="center">28.1 &#177; 10.1</td>
                <td align="center">&lt; 0.01</td>
                <td align="center">27.8 &#177; 9.3</td>
                <td align="center">28.0 &#177; 10.2</td>
                <td align="center">0.19</td>
              </tr>
              <tr>
                <td align="left">
                  <bold>Lipid levels before discharge (mmol/L)</bold>
                </td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td align="left">TC</td>
                <td align="center">4.58 &#177; 0.9</td>
                <td align="center">4.57 &#177; 1.1</td>
                <td align="center">0.87</td>
                <td align="center">4.56 &#177; 1.0</td>
                <td align="center">4.57 &#177; 1.1</td>
                <td align="center">0.82</td>
              </tr>
              <tr>
                <td align="left">TG</td>
                <td align="center">1.87 &#177; 1.2</td>
                <td align="center">1.83 &#177; 1.1</td>
                <td align="center">0.24</td>
                <td align="center">1.83 &#177; 1.1</td>
                <td align="center">1.83 &#177; 1.1</td>
                <td align="center">0.99</td>
              </tr>
              <tr>
                <td align="left">LDL-C</td>
                <td align="center">2.86 &#177; 0.8</td>
                <td align="center">2.88 &#177; 0.9</td>
                <td align="center">0.52</td>
                <td align="center">2.87 &#177; 0.8</td>
                <td align="center">2.88 &#177; 0.9</td>
                <td align="center">0.75</td>
              </tr>
              <tr>
                <td align="left">HDL-C</td>
                <td align="center">1.00 &#177; 0.2</td>
                <td align="center">0.97 &#177; 0.2</td>
                <td align="center">&lt; 0.01</td>
                <td align="center">0.97 &#177; 0.2</td>
                <td align="center">0.97 &#177; 0.2</td>
                <td align="center">0.56</td>
              </tr>
              <tr>
                <td align="left">
                  <bold>FBG (mmol/L) and HbA1c (%) levels before discharge</bold>
                </td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td align="left">FBG</td>
                <td align="center">6.08 &#177; 1.7</td>
                <td align="center">5.77 &#177; 1.5</td>
                <td align="center">0.07</td>
                <td align="center">5.91 &#177; 1.6</td>
                <td align="center">5.77 &#177; 1.5</td>
                <td align="center">0.36</td>
              </tr>
              <tr>
                <td align="left">HbA1c</td>
                <td align="center">5.93 &#177; 1.1</td>
                <td align="center">5.78 &#177; 1.1</td>
                <td align="center">0.17</td>
                <td align="center">5.80 &#177; 1.1</td>
                <td align="center">5.78 &#177; 1.1</td>
                <td align="center">0.64</td>
              </tr>
              <tr>
                <td align="left">
                  <bold>Blood pressure (mmHg) before discharge</bold>
                </td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td align="left">SBP</td>
                <td align="center">127.65 &#177; 15.4</td>
                <td align="center">124.04 &#177; 17.7</td>
                <td align="center">0.13</td>
                <td align="center">124.5 &#177; 16.3</td>
                <td align="center">124.04 &#177; 17.7</td>
                <td align="center">0.91</td>
              </tr>
              <tr>
                <td align="left">DBP</td>
                <td align="center">76.54 &#177; 11.3</td>
                <td align="center">75.35 &#177; 10.6</td>
                <td align="center">0.04</td>
                <td align="center">75.04 &#177; 10.3</td>
                <td align="center">75.35 &#177; 10.6</td>
                <td align="center">0.32</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>Values are presented as mean&#177;standard deviation and median with interquartile range or n (%); PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting; PVD: peripheral vascular disease; CKD: chronic kidney disease; BMI: body mass index; LVEF: left ventricular ejection fraction; TC: total cholesterol; TG: triglyceride; LDL-C: low density lipoprotein cholesterol; HDL-C: high density lipoprotein cholesterol; FBG: fasting blood-glucose; HbA1c: hemoglobin A1C; SBP: systolic blood pressure; DBP: diastolic blood pressure.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>LDL-C, FBG, HbA1c, and BP goal attainment rates in total and propensity matched PCI and CABG patients</title>
        <p>Compared with the CABG group, LDL-C &lt; 1.8 mmol/L, LDL-C &lt; 2.07 mmol/L and BP &lt; 140/90 mmHg goal achievement rates in the PCI group were significantly higher in the unmatched patients after discharge. The FBG and HbA1C target attainment rates did not differ significantly between the two groups after discharge (<xref ref-type="table" rid="t2">Table 2</xref>). In propensity matched patients, LDL-C &lt; 1.8 mmol/L, LDL-C &lt; 2.07 mmol/L and BP &lt; 140/90 mmHg goal achievement rates in the PCI group were significantly higher than in the CABG group. The FBG and HbA1c goal achievement rates were not significantly different between the two groups (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
        <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <title>LDL-c, FBG, HbA1c, and BP goal achievement rates in PCI and CABG groups</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
            </colgroup>
            <thead>
              <tr style="border-bottom-style:solid;border-bottom-width:thin">
                <th align="left">
								</th>
                <th align="center" colspan="3">Total population</th>
                <th align="center" colspan="3">Propensity-matched population</th>
              </tr>
              <tr>
                <th align="left">Risk factor goals</th>
                <th align="center">PCI</th>
                <th align="center">CABG</th>
                <th align="center">p</th>
                <th align="center">PCI</th>
                <th align="center">CABG</th>
                <th align="center">p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">LDL-c &lt;1.8 mmol/L<xref ref-type="table-fn" rid="TFN3">a</xref>
								</td>
                <td align="center">1352(28.6)</td>
                <td align="center">443(24.7)</td>
                <td align="center">0.002</td>
                <td align="center">522(29.2)</td>
                <td align="center">442(24.7)</td>
                <td align="center">0.003</td>
              </tr>
              <tr>
                <td align="left">LDL-c &lt; 2.07 mmol/L<xref ref-type="table-fn" rid="TFN4">b</xref>
								</td>
                <td align="center">2055(43.5)</td>
                <td align="center">708(39.4)</td>
                <td align="center">0.003</td>
                <td align="center">787(44.0)</td>
                <td align="center">707(39.5)</td>
                <td align="center">0.007</td>
              </tr>
              <tr>
                <td align="left">FBG &lt; 7 mmol/L<xref ref-type="table-fn" rid="TFN5">c</xref>
								</td>
                <td align="center">3498(74.2)</td>
                <td align="center">1342(74.8)</td>
                <td align="center">0.492</td>
                <td align="center">1361(76.0)</td>
                <td align="center">1342 (75.0)</td>
                <td align="center">0.46</td>
              </tr>
              <tr>
                <td align="left">HbA1c &lt; 7%<xref ref-type="table-fn" rid="TFN5">c</xref>
								</td>
                <td align="center">3456(73.1)</td>
                <td align="center">1321(73.6)</td>
                <td align="center">0.686</td>
                <td align="center">1349(75.4)</td>
                <td align="center">1319(73.7)</td>
                <td align="center">0.25</td>
              </tr>
              <tr>
                <td align="left">BP &lt; 140/80 mmHg<xref ref-type="table-fn" rid="TFN6">d</xref>
								</td>
                <td align="center">4049(85.6)</td>
                <td align="center">1394(77.7)</td>
                <td align="center">0.000</td>
                <td align="center">1525(85.2)</td>
                <td align="center">1391(77.7)</td>
                <td align="center">0.000</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>Values are presented as n (%);</p>
            </fn>
            <fn id="TFN3">
              <label>a</label>
              <p>,Chinese guidelines on prevention and treatment of dyslipidemia in adults, 2007;</p>
            </fn>
            <fn id="TFN4">
              <label>b</label>
              <p>,ESC/EAS guidelines for the management of dyslipidaemias, 2011;</p>
            </fn>
            <fn id="TFN5">
              <label>c</label>
              <p>,Chinese guidelines on type 2 diabetes prevention and treatment, 2013;</p>
            </fn>
            <fn id="TFN6">
              <label>d</label>
              <p>,Chinese guidelines on prevention and treatment of hypertension, 2011. PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting; LDL-C: low density lipoprotein cholesterol; FBG: fasting blood-glucose; HbA1c: hemoglobin A1C; BP: blood pressure.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Clinical outcomes</title>
        <p>In unmatched patients, composite endpoint rates were significantly higher in the PCI group than in the CABG group (<xref ref-type="table" rid="t4">Table 4</xref>). The median follow-up duration was 10.99 months. In propensity matched patients, composite endpoint rates were not significantly different between the two groups (<xref ref-type="fig" rid="f1">Figure 1</xref>, <xref ref-type="table" rid="t4">Table 4</xref>). Recurrent ACS rates were significantly higher in the PCI group than in the CABG group in both matched and unmatched patients (<xref ref-type="table" rid="t4">Table 4</xref>). Stroke incidence was significantly higher in the CABG group than in the PCI group (<xref ref-type="table" rid="t4">Table 4</xref>). On multivariable Cox regression analysis, LDL-C &lt; 1.8 mmol/L and HbA1c &lt; 7% were independent predictors of composite endpoints in the unmatched overall, PCI, and CABG patients, hazard ratio were reduced in those patients who achieved goals (<xref ref-type="table" rid="t3">Table 3</xref>). To determine whether the composite endpoint rates in the matched patients according to PCI and CABG were consistent, we applied subgroup analysis. Compared with patients in the PCI group, patients in the CABG group had better clinical outcome regarding diabetes and obesity, and patients &#8805; 60 years old subgroups (<xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
        <table-wrap id="t3">
          <label>Table 3</label>
          <caption>
            <title>Independent predictors of composite endpoints in PCI and CABG groups</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
            </colgroup>
            <thead>
              <tr style="border-bottom-style:solid;border-bottom-width:thin">
                <th align="left">
								</th>
                <th align="center" colspan="3">Overall</th>
                <th align="center" colspan="3">ICP</th>
                <th align="center" colspan="3">CRM</th>
              </tr>
              <tr>
                <th align="left">Variables</th>
                <th align="center">HR</th>
                <th align="center">95% CI</th>
                <th align="center">p</th>
                <th align="center">HR</th>
                <th align="center">95% CI</th>
                <th align="center">p</th>
                <th align="center">HR</th>
                <th align="center">95% CI</th>
                <th align="center">p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">Sex<xref ref-type="table-fn" rid="TFN8">a</xref>
								</td>
                <td align="center">0.298</td>
                <td align="center">(1.08-1.68)</td>
                <td align="center">0.008</td>
                <td align="center">0.251</td>
                <td align="center">(1.01-1.64)</td>
                <td align="center">0.043</td>
                <td align="center">0.414</td>
                <td align="center">(0.87-2.64)</td>
                <td align="center">0.144</td>
              </tr>
              <tr>
                <td align="left">PCI vs CABG</td>
                <td align="center">0.821</td>
                <td align="center">(1.81-2.85)</td>
                <td align="center">0.000</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td align="left">Smoking<xref ref-type="table-fn" rid="TFN8">a</xref>
								</td>
                <td align="center">1.692</td>
                <td align="center">(1.29-2.72)</td>
                <td align="center">0.000</td>
                <td align="center">1.783</td>
                <td align="center">(1.43-3.13)</td>
                <td align="center">0.000</td>
                <td align="center">1.113</td>
                <td align="center">(0.98-1.81)</td>
                <td align="center">0.754</td>
              </tr>
              <tr>
                <td align="left">LDL-c &lt; 1.8</td>
                <td align="center">-2.197</td>
                <td align="center">(0.07-0.17)</td>
                <td align="center">0.000</td>
                <td align="center">-2.329</td>
                <td align="center">(0.06-0.16)</td>
                <td align="center">0.000</td>
                <td align="center">-1.023</td>
                <td align="center">(0.09-0.45)</td>
                <td align="center">0.000</td>
              </tr>
              <tr>
                <td align="left">HbA1c &lt; 7%</td>
                <td align="center">-0.363</td>
                <td align="center">(0.58-0.85)</td>
                <td align="center">0.000</td>
                <td align="center">-0.403</td>
                <td align="center">(0.54-0.82)</td>
                <td align="center">0.000</td>
                <td align="center">-0.392</td>
                <td align="center">(0.53-0.88)</td>
                <td align="center">0.000</td>
              </tr>
              <tr>
                <td align="left">EF &lt; 40%<xref ref-type="table-fn" rid="TFN9">b</xref>
								</td>
                <td align="center">-0.241</td>
                <td align="center">(0.52-1.19)</td>
                <td align="center">0.252</td>
                <td align="center">-0.101</td>
                <td align="center">(0.56-1.47)</td>
                <td align="center">0.686</td>
                <td align="center">-0.825</td>
                <td align="center">(0.20-0.95)</td>
                <td align="center">0.037</td>
              </tr>
              <tr>
                <td align="left">Dyslipidemia<xref ref-type="table-fn" rid="TFN10">c</xref>
								</td>
                <td align="center">1.164</td>
                <td align="center">(0.96-1.45)</td>
                <td align="center">0.120</td>
                <td align="center">1.256</td>
                <td align="center">(1.03-1.63)</td>
                <td align="center">0.030</td>
                <td align="center">1.09</td>
                <td align="center">(0.59-1.43)</td>
                <td align="center">0.679</td>
              </tr>
              <tr>
                <td align="left">BP &lt; 140/80 mmHg</td>
                <td align="center">-0.475</td>
                <td align="center">(0.32-0.49)</td>
                <td align="center">0.000</td>
                <td align="center">-0.432</td>
                <td align="center">(0.37-0.50)</td>
                <td align="center">0.000</td>
                <td align="center">-0.129</td>
                <td align="center">(0.39-1.76)</td>
                <td align="center">0.788</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN7">
              <p>Values are presented as n (%); CI: confidence interval; HR: Hazard ratio;</p>
            </fn>
            <fn id="TFN8">
              <label>a</label>
              <p>sex and smoke were significant predictors in overall and PCI-treated patients;</p>
            </fn>
            <fn id="TFN9">
              <label>b</label>
              <p>EF &gt; 40% was a significant predictor in CABG-treated patients;</p>
            </fn>
            <fn id="TFN10">
              <label>c</label>
              <p>dyslipidemia was a significant predictor in PCI-treated patients. PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting; LDL-C: low density lipoprotein cholesterol; HbA1c: hemoglobin A1C; EF: ejection fraction; BP: blood pressure.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap id="t4">
          <label>Table 4</label>
          <caption>
            <title>Clinical outcomes in PCI and CABG groups</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col width="11%"/>
              <col width="11%"/>
              <col width="11%"/>
              <col width="11%"/>
              <col width="11%"/>
              <col width="11%"/>
              <col width="11%"/>
              <col width="11%"/>
              <col width="11%"/>
            </colgroup>
            <thead>
              <tr style="border-bottom-style:solid;border-bottom-width:thin">
                <th align="left" rowspan="2">
								</th>
                <th align="center" colspan="4">Total population</th>
                <th align="center" colspan="4">Propensity-matched population</th>
              </tr>
              <tr>
                <th align="left">PCI</th>
                <th align="center">CABG</th>
                <th align="center">HR(95% CI)</th>
                <th align="center">p</th>
                <th align="center">PCI</th>
                <th align="center">CABG</th>
                <th align="center">HR(95% CI)</th>
                <th align="center">p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">Composite endpoints</td>
                <td align="center">424(9.0)</td>
                <td align="center">101(5.6)</td>
                <td align="center">1.652(1.32.2.07)</td>
                <td align="center">0.000</td>
                <td align="center">126(7.0)</td>
                <td align="center">101(5.6)</td>
                <td align="center">1.27 (0.97.1.66)</td>
                <td align="center">0.09</td>
              </tr>
              <tr>
                <td align="left">Recurrence ACS</td>
                <td align="center">389(8.2)</td>
                <td align="center">80(4.5)</td>
                <td align="center">5.935(4.619.7.626)</td>
                <td align="center">0.000</td>
                <td align="center">116(6.5)</td>
                <td align="center">80(4.5)</td>
                <td align="center">1.48(1.11.1.99)</td>
                <td align="center">&lt; 0.01</td>
              </tr>
              <tr>
                <td align="left">Stroke</td>
                <td align="center">29(0.6)</td>
                <td align="center">19(1.1)</td>
                <td align="center">1.535(0.858.2.748)</td>
                <td align="center">0.146</td>
                <td align="center">8(6.4)</td>
                <td align="center">19(1.1)</td>
                <td align="center">0.42(0.18.0.96)</td>
                <td align="center">0.03</td>
              </tr>
              <tr>
                <td align="left">Cardiac death</td>
                <td align="center">6(0.1)</td>
                <td align="center">2(0.1)</td>
                <td align="center">3.007(0.606.14.917)</td>
                <td align="center">0.157</td>
                <td align="center">2(0.1)</td>
                <td align="center">2(0.1)</td>
                <td align="center">1.00(0.14.7.11)</td>
                <td align="center">1.00</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN11">
              <p>Values are presented as n (%). Composite end points included recurrent ACS, stroke and cardiac death. ACS: acute coronary syndrome. PCI: percutaneous coronary intervention.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>
          <fig id="f1">
            <label>Figure 1</label>
            <caption>
              <title>Kaplan-Meier cumulative events for composite endpoint. Composite endpoint events (cardiac death/recurrent acute coronary syndrome/stroke) rate were not significantly different between percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) patients.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-109-05-0466-70153-gf01.jpg"/></fig>
        </p>
        <p>
          <fig id="f2">
            <label>Figure 2</label>
            <caption>
              <title>Comparative unadjusted hazard ratios of recurrent ACS for subgroups in propensity-matched populations of the percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) groups. CI: confidence interval; BMI: body mass index; ACS: acute coronary syndrome.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-109-05-0466-70153-gf02.jpg"/></fig>
        </p>
      </sec>
      <sec>
        <title>LDL-C, FBG, HbA1c, and BP goal attainment rates in unmatched patients with different ages</title>
        <p>In unmatched overall and PCI patients, compared with patients &#8805; 60 years old: patients &lt; 60 years old had better BP &lt; 140/90 mm Hg goal achievement rates and worse LDL-C &lt; 2.07 mmol/L goal achievement rates. The LDL-C &lt; 1.8 mmol/L, FBG &lt; 7 mmol/L, and HbA1c &lt; 7% goal achievement rates were not significantly different. In unmatched CABG patients, compared with patients &#8805; 60 years old: patients &lt; 60 years old had better FBG &lt; 7 mmol/L, HbA1c &lt; 7%, BP &lt; 140/90 mm Hg goal achievement rates, the LDL-C &lt; 1.8 mmol/L and LDL-C &lt; 2.07 mmol/L goal achievement rates were not significantly different between the two groups (<xref ref-type="table" rid="t5">Table 5</xref>).</p>
        <table-wrap id="t5">
          <label>Table 5</label>
          <caption>
            <title>LDL-c, FBG, HbA1c, and BP goal achievement rates in different age and sex</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
              <col width="10%"/>
            </colgroup>
            <thead>
              <tr style="border-bottom-style:solid;border-bottom-width:thin">
                <th align="left">
								</th>
                <th align="center" colspan="3">Overall</th>
                <th align="center" colspan="3">PCI</th>
                <th align="center" colspan="3">CABG</th>
              </tr>
              <tr style="border-bottom-style:solid;border-bottom-width:thin;border-top-style:solid;border-top-width:thin">
                <th align="left" colspan="10">LDL-c, FBG, HbA1c, and BP goal achievement rates in patients who &lt; 60 and &#8805; 60 year old</th>
              </tr>
              <tr>
                <th align="left">Risk factor goals</th>
                <th align="center">&lt; 60</th>
                <th align="center">&#8805; 60</th>
                <th align="center">p</th>
                <th align="center">&lt; 60</th>
                <th align="center">&#8805; 60</th>
                <th align="center">p</th>
                <th align="center">&lt; 60</th>
                <th align="center">&#8805; 60</th>
                <th align="center">p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">LDL-c &lt; 1,8 mmol/L<xref ref-type="table-fn" rid="TFN13">a</xref>
								</td>
                <td align="center">640(26.3)</td>
                <td align="center">1155(28.3)</td>
                <td align="center">0.079</td>
                <td align="center">474(27.0)</td>
                <td align="center">878(29.6)<xref ref-type="table-fn" rid="TFN18">&#8224;&#8224;</xref>
								</td>
                <td align="center">0.056</td>
                <td align="center">166(24.4)</td>
                <td align="center">277(24.8)</td>
                <td align="center">0.859</td>
              </tr>
              <tr>
                <td align="left">LDL-c &lt; 2,07 mmol/L<xref ref-type="table-fn" rid="TFN14">b</xref>
								</td>
                <td align="center">967(39.7)</td>
                <td align="center">1796(44.0)</td>
                <td align="center">0.001</td>
                <td align="center">703(40.0)</td>
                <td align="center">1352(45.5) <xref ref-type="table-fn" rid="TFN18">&#8224;&#8224;</xref>
								</td>
                <td align="center">0.001</td>
                <td align="center">264(38.9)</td>
                <td align="center">444(39.8)</td>
                <td align="center">0.704</td>
              </tr>
              <tr>
                <td align="left">FBG &lt; 7 mmol/L<xref ref-type="table-fn" rid="TFN15">c</xref>
								</td>
                <td align="center">1817(74.5)</td>
                <td align="center">3023(74.0)</td>
                <td align="center">0.608</td>
                <td align="center">1278(72.8)</td>
                <td align="center">2219(74.7)</td>
                <td align="center">0.138</td>
                <td align="center">539(79.4)<xref ref-type="table-fn" rid="TFN20">&#8225;&#8225;</xref>
								</td>
                <td align="center">804(72.0)</td>
                <td align="center">0.001</td>
              </tr>
              <tr>
                <td align="left">HbA1c &lt; 7%c</td>
                <td align="center">1805(72.9)</td>
                <td align="center">2972(72.7)</td>
                <td align="center">0.240</td>
                <td align="center">1266(72.0)</td>
                <td align="center">2190(73.7) <xref ref-type="table-fn" rid="TFN19">&#8224;</xref>
								</td>
                <td align="center">0.196</td>
                <td align="center">539(79.4) <xref ref-type="table-fn" rid="TFN20">&#8225;&#8225;</xref>
								</td>
                <td align="center">782(70.1)</td>
                <td align="center">0.001</td>
              </tr>
              <tr>
                <td align="left">BP &lt; 140/80 mmHg<xref ref-type="table-fn" rid="TFN16">d</xref>
								</td>
                <td align="center">2093(85.9)</td>
                <td align="center">3350(82.0)</td>
                <td align="center">0.000</td>
                <td align="center">1541(87.7)<xref ref-type="table-fn" rid="TFN17">*</xref>
								</td>
                <td align="center">2508(84.4) <xref ref-type="table-fn" rid="TFN18">&#8224;&#8224;</xref>
								</td>
                <td align="center">0.002</td>
                <td align="center">552(81.3)</td>
                <td align="center">842(75.4)</td>
                <td align="center">0.004</td>
              </tr>
              <tr style="border-bottom-style:solid;border-bottom-width:thin;border-top-style:solid;border-top-width:thin">
                <td align="left" colspan="10">
                  <bold>LDL-c, FBG, HbA1c, and BP goal achievement rates in female and male</bold>
                </td>
              </tr>
              <tr style="border-bottom-style:solid;border-bottom-width:thin">
                <td align="left">
                  <bold>Risk factor goals</bold>
                </td>
                <td align="center">
                  <bold>Female</bold>
                </td>
                <td align="center">
                  <bold>Male</bold>
                </td>
                <td align="center">
                  <bold>p</bold>
                </td>
                <td align="center">
                  <bold>Female</bold>
                </td>
                <td align="center">
                  <bold>Male</bold>
                </td>
                <td align="center">
                  <bold>p</bold>
                </td>
                <td align="center">
                  <bold>Female</bold>
                </td>
                <td align="center">
                  <bold>Male</bold>
                </td>
                <td align="center">
                  <bold>p</bold>
                </td>
              </tr>
              <tr>
                <td align="left">LDL-c &lt; 1,8 mmol/L<xref ref-type="table-fn" rid="TFN13">a</xref>
								</td>
                <td align="center">399(24.7)</td>
                <td align="center">1396(28.5)</td>
                <td align="center">0.003</td>
                <td align="center">306(25.5)</td>
                <td align="center">1046(29.6)</td>
                <td align="center">0.006</td>
                <td align="center">93(22.2)</td>
                <td align="center">350(25.4)</td>
                <td align="center">0.188</td>
              </tr>
              <tr>
                <td align="left">LDL-c &lt; 2,07 mmol/L<xref ref-type="table-fn" rid="TFN14">b</xref>
								</td>
                <td align="center">661(40.9)</td>
                <td align="center">2102(42.8)</td>
                <td align="center">0.165</td>
                <td align="center">502(41.9)</td>
                <td align="center">1553(44.0)</td>
                <td align="center">0.197</td>
                <td align="center">159(38.0)</td>
                <td align="center">549(39.9)</td>
                <td align="center">0.502</td>
              </tr>
              <tr>
                <td align="left">FBG &lt; 7 mmol/L<xref ref-type="table-fn" rid="TFN15">c</xref>
								</td>
                <td align="center">1152(71.8)</td>
                <td align="center">3689(75.2)</td>
                <td align="center">0.002</td>
                <td align="center">851(71.0)</td>
                <td align="center">2647(75.0)</td>
                <td align="center">0.006</td>
                <td align="center">301(72.0)</td>
                <td align="center">1042(75.7)</td>
                <td align="center">0.131</td>
              </tr>
              <tr>
                <td align="left">HbA1c &lt; 7%c</td>
                <td align="center">1139(70.4)</td>
                <td align="center">3638(74.1)</td>
                <td align="center">0.003</td>
                <td align="center">832(69.4)</td>
                <td align="center">2624(74.4)</td>
                <td align="center">0.001</td>
                <td align="center">307(73.4)</td>
                <td align="center">1014(73.6)</td>
                <td align="center">0.937</td>
              </tr>
              <tr>
                <td align="left">BP &lt; 140/80 mmHg<xref ref-type="table-fn" rid="TFN16">d</xref>
								</td>
                <td align="center">1330(82.3)</td>
                <td align="center">4113(83.8)</td>
                <td align="center">0.137</td>
                <td align="center">1019(85.0)</td>
                <td align="center">3030(85.9)</td>
                <td align="center">0.457</td>
                <td align="center">311(74.4)</td>
                <td align="center">1083(78.6)</td>
                <td align="center">0.068</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN12">
              <p>Values are presented as n (%);</p>
            </fn>
            <fn id="TFN13">
              <label>a</label>
              <p>Chinese guidelines on prevention and treatment of dyslipidemia in adults, 2007;</p>
            </fn>
            <fn id="TFN14">
              <label>b</label>
              <p>ESC/EAS guidelines for the management of dyslipidemia, 2011;</p>
            </fn>
            <fn id="TFN15">
              <label>c</label>
              <p>Chinese guidelines on type 2 diabetes prevention and treatment, 2013;</p>
            </fn>
            <fn id="TFN16">
              <label>d</label>
              <p>d Chinese guidelines on prevention and treatment of hypertension, 2011;</p>
            </fn>
            <fn id="TFN17">
              <label>*</label>
              <p>in patients who &lt; 60, compared with CABG group, p &lt; 0.01;</p>
            </fn>
            <fn id="TFN18">
              <label>&#8224;&#8224;</label>
              <p>in patients who &#8805; 60, compared with CABG group, p &lt; 0.01;</p>
            </fn>
            <fn id="TFN19">
              <label>&#8224;</label>
              <p>in patients who &#8805; 60, compared with CABG group, p &lt; 0.05;</p>
            </fn>
            <fn id="TFN20">
              <label>&#8225;&#8225;</label>
              <p>in patients who &lt; 60, compared with PCI group, p &lt; 0.01. PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting; LDL-C: low density lipoprotein cholesterol; FBG: fasting blood-glucose; HbA1c: hemoglobin A1C; BP: blood pressure.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>LDL-C, FBG, HbA1c, and BP goal attainment rates in unmatched patients of different sexes</title>
        <p>In unmatched overall and PCI patients, compared with females: males had better LDL-C &lt; 1.8 mmol/L, FBG &lt; 7 mmol/L, and HbA1c &lt; 7% goal achievement rates. The LDL-C &lt; 2.07 mmol/L and BP &lt; 140/90 mmHg goal achievement rates were not significantly different. Those goal achievement rates were not significantly different in CABG patients between females and males (<xref ref-type="table" rid="t5">Table 5</xref>).</p>
      </sec>
      <sec>
        <title>LDL-C, FBG, HbA1c, and BP goal attainment rates in unmatched patients with different ages and different sexes</title>
        <p>In unmatched patients &#8805; 60 years old, compared with females, males had better LDL-C &lt; 1.8 mmol/L, FBG &lt; 7 mmol/L, and HbA1c &lt; 7% goal achievement rates. The LDL-C &lt; 2.07 mmol/L and BP &lt; 140/90 mmHg goal achievement rates were not significantly different. Those goal achievement rates were not significantly different in patients &lt; 60 years old between females and males (<xref ref-type="table" rid="t6">Table 6</xref>).</p>
        <table-wrap id="t6">
          <label>Table 6</label>
          <caption>
            <title>LDL-c, FBG, HbA1c, and BP goal achievement rates between different sex in patients &lt; 60 years old and patients &#8805; 60 years old</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
              <col width="14%"/>
            </colgroup>
            <thead>
              <tr style="border-bottom-style:solid;border-bottom-width:thin">
                <th align="left" rowspan="2">Risk factor goals</th>
                <th align="center" colspan="3">&lt; 60</th>
                <th align="center" colspan="3">&#8805; 60</th>
              </tr>
              <tr>
                <th align="left">Female</th>
                <th align="center">Male</th>
                <th align="center">p</th>
                <th align="center">Female</th>
                <th align="center">Male</th>
                <th align="center">p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">LDL-c &lt; 1,8 mmol/La</td>
                <td align="center">81(24.5)</td>
                <td align="center">559(26.5)</td>
                <td align="center">0.426</td>
                <td align="center">318(24.7)</td>
                <td align="center">837(29.9)</td>
                <td align="center">0.001</td>
              </tr>
              <tr>
                <td align="left">LDL-c &lt; 2,07 mmol/Lb</td>
                <td align="center">120(36.3)</td>
                <td align="center">847(40.2)</td>
                <td align="center">0.171</td>
                <td align="center">541(42.1)</td>
                <td align="center">1255(44.8)</td>
                <td align="center">0.100</td>
              </tr>
              <tr>
                <td align="left">FBG &lt; 7 mmol/Lc</td>
                <td align="center">239(72.2)</td>
                <td align="center">1578(74.9)</td>
                <td align="center">0.290</td>
                <td align="center">913(71.0)</td>
                <td align="center">2111(75.4)</td>
                <td align="center">0.003</td>
              </tr>
              <tr>
                <td align="left">HbA1c &lt; 7%c</td>
                <td align="center">232(70.1)</td>
                <td align="center">1573(74.7)</td>
                <td align="center">0.076</td>
                <td align="center">907(70.5)</td>
                <td align="center">2065(73.8)</td>
                <td align="center">0.032</td>
              </tr>
              <tr>
                <td align="left">BP &lt; 140/80 mmHgd</td>
                <td align="center">277(83.7)</td>
                <td align="center">1816(86.2)</td>
                <td align="center">0.217</td>
                <td align="center">1053(81.9)</td>
                <td align="center">2297(82.0)</td>
                <td align="center">0.905</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN21">
              <p>Values are presented as n (%). LDL-C: low density lipoprotein cholesterol; FBG: fasting blood-glucose; HbA1c: hemoglobin A1C; BP: blood pressure</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>PCI and CABG techniques were developed rapidly in the late 90s in China. The surgical volume of PCI was increased by 30%-50% per year, and up to 567583 in 2015, forefront in the world. With the improvement of surgical techniques, mortality of CABG was reduced greatly, and was acceptable by an increasing number of patients. Although PCI and CABG successfully saved plenty of lives, how to decrease the incidence of revascularization is a major problem at present. Therefore, the emphasis of secondary prevention is particularly important after PCI and CABG.</p>
      <p>In the present study, our major findings are as follows: (a) in overall and the propensity score-matched patients, lipid and BP goal attainment rates were different between PCI and CABG patients; however, LDL-C, FBG, HbA1c and BP goal attainment rates were not optimistic in either group, (b) the LDL-C and BP goal achievement rates in the PCI group, and the FBG and HbA1c goal achievement rates in the CABG group were different between patients &lt; 60 years old and those &#8805; 60 years old; (c) the LDL-C, FBG and HbA1c goal achievement rates were significantly lower in females in the PCI group, as well as in patients &#8805; 60 years old.</p>
      <p>LDL-C and BP goal achievement rates in the PCI group were significantly higher than in the CABG group, and a possible reason might be the difference in medication use and adherence. Hlatky et. al have observed that medication possession ratios of secondary preventive drugs were significantly lower in CABG patients than in PCI patients, and the use of statins was significantly lower in CABG patients than in PCI patients.<xref ref-type="bibr" rid="B8">8</xref> Possible reasons for such disparities might be as follows: (a) in our hospital, some patients after CABG were taken care of by surgeons, treatment strategies differed between cardiologists and cardiothoracic surgeons. Cardiologists followed guidelines and had better performance in using preventive drugs than cardiothoracic surgeons, while cardiothoracic surgeons usually pay more attention to whether the surgery was successful, postoperative complications and wound repair situations rather than secondary prevention drug prescription and health education before discharge;<xref ref-type="bibr" rid="B4">4</xref> (b) some other patients might be followed up by cardiologists after CABG in the outpatient clinic, however, cardiologists may have been trained to consider CABG as a more effective or complete treatment, leading to the neglect of long-term secondary prevention; and (c) patients might feel that a CABG is the definitive treatment for their CAD and that medications are no longer necessary, making them less likely to visit doctors in outpatient clinics and take useful suggestions from them.<xref ref-type="bibr" rid="B9">9</xref> The FBG and HbA1c goal achievement rates were low and were not significantly different between the PCI and the CABG group. Only almost less than one third of all diabetic patients achieved their FBG and HbA1c goals. Hypoglycemic drugs do not belong to the optimal medical therapy (OMT) drugs, sometimes the cardiologists just focused on the OMT treatment and ignored the FBG control; another reason might be that diabetic patients were recommended to go to endocrinology outpatient clinics by cardiologists and cardiothoracic surgeons, but these patients were always less likely to visit another outpatient clinic since they thought they already had one.</p>
      <p>In spite of the disparities between PCI and CABG patients in cardiovascular risk factor control, the achievement rates of LDL-C, FBG, HbA1c and BP goals remain low in the PCI group. Possible reason might be that interventional cardiologists are usually more conditioned to consider dual antiplatelet therapy (DAPT) issues and sometimes ignore the use of other secondary prevention drugs.</p>
      <p>In our study, composite endpoints were significantly higher in the un-matched PCI group than in the CABG group. This was consistent with previous studies which suggested that patients who underwent CABG had better clinical outcomes than those who underwent PCI.<xref ref-type="bibr" rid="B10">10</xref><sup>,</sup><xref ref-type="bibr" rid="B11">11</xref> In the propensity-matched patients, although the recurrent ACS rate was significantly higher in the PCI group, composite endpoints were not significantly different between the two groups. In our multivariate Cox regression analysis, sex, smoking, and achieved LDL-c, HbA1c, and BP goals were independent predictors for composite endpoints in PCI patients, while EF&gt;40%, achieved LDL-c, and BP goals were independent predictors for composite endpoints in CABG patients. The LDL-c and BP goal achievement rates were significantly higher in the PCI group, the HbA1c target attainment rate, although not significantly different, was better in the propensity matched PCI group. The results suggested that secondary prevention was important in reducing post-revascularization events. In the propensity matched subgroup analysis, patients with diabetes, obesity, and &#8805; 60 years old had better clinical outcome in the CABG group, in accordance with former studies.<xref ref-type="bibr" rid="B12">12</xref><sup>-</sup><xref ref-type="bibr" rid="B14">14</xref>
			</p>
      <p>The LDL-C &lt; 2.07 mmol/L goal attainment rate of ACS patients in the DYSIS-China study was 29.7%. In our study, it was significantly improved, but remain very low in PCI and CABG patients. Baseline LDL-C levels were reported to be lower in Chinese ACS patients than in western countries' ACS patients in previous studies.<xref ref-type="bibr" rid="B15">15</xref><sup>,</sup><xref ref-type="bibr" rid="B16">16</xref> LDL-C was recommended to be lower than 2.07 mmol/L in Chinese lipid management guideline. Whether the target LDL-C should be in accordance with that of western countries lipid management guidelines (LDL-C &lt; 1.8 mmol/L) remains controversial. Lee et al. have observed that, compared with LDL-C &lt; 2.6 mmol/L, an LDL-C &lt; 1.8 mmol/L did not improve survival in ACS patients.<xref ref-type="bibr" rid="B17">17</xref> However, in our study, achieving the LDL-C &lt; 1.8 mmol/L goal was an independent predictor of decreased composite endpoint risk,<xref ref-type="bibr" rid="B18">18</xref> which suggests that the LDL-C goal of Chinese lipid management guideline in the future should be consistent with that of western countries.</p>
      <p>In the PCI group, BP goal achievement rate was higher in patients &lt; 60 years old than those &#8805; 60 years old, the FBG and HbA1c goal achievement rates were higher in patients &lt; 60 years old in the CABG group. The results were consistent with those of previous studies that older patients always underuse the recommended secondary preventive drugs and always had bad adherence to those drugs,<xref ref-type="bibr" rid="B19">19</xref> which further lead to worse risk factor target attainment. However, the LDL-C goal achievement was much better in patients &#8805; 60 years old. The result differed from most of the former studies, but was consistent with that of Rajendran et al.,<xref ref-type="bibr" rid="B20">20</xref> who found that older patients more often achieved lipid target than younger patients. The results may suggested that the clinicians in our hospital are realizing the importance of statin treatment with each passing day. Hogh et al.,<xref ref-type="bibr" rid="B21">21</xref> have discovered that age-related differences in using secondary prevention drugs have been reduced or even eliminated, which suggested that the disparities in risk factor target attainment will also be eliminated over time. Why the risk factor target attainment was inconsistent between PCI and CABG in different age groups remains unclear, but the results suggested that we should pay more attention to older patients in secondary prevention.</p>
      <p>Females were considered to be less likely to achieved their cardiovascular risk factor targets since they were less likely to take secondary preventive drugs due to many reasons. For example, the lowering estrogen levels, higher adverse events and poor adherence might have influence on drug use.<xref ref-type="bibr" rid="B22">22</xref> However, in the study by Jankowski et al.,<xref ref-type="bibr" rid="B23">23</xref> they have found that the frequency of achieving recommended goals in secondary prevention were not sex-related. In our study, the LDL-C, FBG, and HbA1c goal achievement rates were significantly higher in males than in females in the PCI group and in patients &#8805; 60 years old. The result suggested that we should pay attention to older women during the secondary prevention process and make sure they are given the optimal treatment.</p>
      <sec>
        <title>Limitations of the study</title>
        <p>Our study had several limitations. Firstly, it was a single-center observational study performed at a major cardiovascular hospital in China, and the clinical strategies of physicians and surgeons may differ from those of other hospitals in China. Secondly, although propensity score matching was performed to adjust for potential confounding factors in PCI and CABG patients, initial selection bias and unmeasured variables exist.</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>Our research showed that there are disparities between PCI and CABG patients in CAD-related risk factor target attainment. Secondary prevention is critical in reducing post-revascularization endpoints. The risk factor target attainment also differed between patients &#8805; 60 years old and &lt; 60 years old, females and males, which suggested that cardiologists and cardiothoracic surgeons should pay more attention to those special patients and make correct clinical decisions in the secondary prevention process, which can further ensure those patients have a better prognosis and greater clinical benefits.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure">
        <p>
          <bold>Sources of Funding</bold>
        </p>
        <p>This study was funded by National Nature Science Foundaction of China (N&#186;. 81270380).</p>
      </fn>
      <fn fn-type="other">
        <p>
          <bold>Study Association</bold>
        </p>
        <p>This study is not associated with any thesis or dissertation work.</p>
      </fn>
    </fn-group>
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  <sub-article article-type="translation" id="s1" xml:lang="pt">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigos Originais</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Compara&#231;&#227;o de Preven&#231;&#227;o Secund&#225;ria em Interven&#231;&#227;o Coron&#225;ria Percut&#226;nea e Cirurgia de Revasculariza&#231;&#227;o Mioc&#225;rdica</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Gao</surname>
            <given-names>Xia-qing</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">1</xref>
          <xref ref-type="aff" rid="aff4">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>LI</surname>
            <given-names>Yanfang</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">1</xref>
          <xref ref-type="aff" rid="aff4">2</xref>
          <xref ref-type="corresp" rid="c2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jiang</surname>
            <given-names>Zhi-li</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">1</xref>
          <xref ref-type="aff" rid="aff4">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff3">
        <label>1</label>
        <institution content-type="original">Beijing Anzhen Hospital - Capital Medical University</institution>
      </aff>
      <aff id="aff4">
        <label>2</label>
        <institution content-type="original">Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing - China</institution>
      </aff>
      <author-notes>
        <corresp id="c2"><bold>Correspond&#234;ncia: Yanfang LI</bold> Beijing Anzhen Hospital of Capital Medical University, Anzhen Street. 100029, Beijing - China. E-mail: <email>422655835@qq.com</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Contribui&#231;&#227;o dos autores</bold>
          </p>
          <p>Concep&#231;&#227;o e desenho da pesquisa e Obten&#231;&#227;o de dados: Xia-qing Gao, Yan-fang Li, Zhi-li Jiang; An&#225;lise e interpreta&#231;&#227;o dos dados e Reda&#231;&#227;o do manuscrito: Xia-qing Gao; An&#225;lise estat&#237;stica: Xia-qing Gao, Zhi-li Jiang; Obten&#231;&#227;o de financiamento e Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Yan-fang Li.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial conflito de interesses</bold>
          </p>
          <p>Declaro n&#227;o haver conflito de interesses pertinentes.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento:</title>
          <p>H&#225; poucos dados referentes &#224;s disparidades no manejo de fatores de risco cardiovascular entre pacientes tratados com interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) e aqueles tratados com cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM).</p>
        </sec>
        <sec>
          <title>Objetivo:</title>
          <p>Avaliar se as taxas de cumprimento de metas de fatores de risco cardiovascular diferiram entre pacientes submetidos a ICP ou a CRM.</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Revis&#227;o retrospectiva de banco de dados de prontu&#225;rios m&#233;dicos de pacientes admitidos no Hospital Beijing Anzhen entre 1 de janeiro de 2014 e 31 de dezembro de 2014, submetidos a ICP ou a CRM.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>Comparado ao grupo CRM, o grupo ICP apresentou taxas significativamente maiores de cumprimento de meta de colesterol da lipoprote&#237;na de baixa densidade (LDL-C) &lt; 1,8 mmol/L (28,6% vs. 24,7%; p &lt; 0,01), LDL-C &lt; 2,07 mmol/L (43,5% vs. 39,4%; p &lt; 0,01) e press&#227;o arterial (PA) &lt;140/90 mmHg (85,6% vs. 77,7%; p &lt; 0,01). Comparados aos pacientes &#8805; 60 anos de idade, aqueles &lt; 60 anos de idade apresentaram melhor taxa de cumprimento de meta de PA &lt; 140/90 mmHg (87,7% vs. 84,4%; p &lt; 0,01) no grupo ICP, e melhores taxas de cumprimento de meta de glicemia de jejum (GJ) &lt; 7 mmol/L (79.4% vs.72.0%; p &lt; 0.01) e HbA1c &lt; 7% (79.4% vs. 70.1%; p &lt; 0.01) no grupo CRM. Comparados &#224;s mulheres, os homens apresentaram melhores taxas de cumprimento de meta de LDL-C &lt; 2,07 mmol/L (24,7% vs. 28,5%; p &lt; 0,01), GJ &lt; 7 mmol/L (71,8% vs. 75,2%; p &lt; 0,01) e HbA1c &lt; 7% (70,4% vs. 74,1%; p &lt; 0,01) no grupo ICP.</p>
        </sec>
        <sec>
          <title>Conclus&#227;o:</title>
          <p>Em geral, o grupo ICP apresentou maior probabilidade do que o grupo CRM de cumprir as metas de LDL-C &lt; 1,8 mmol/L e PA. O controle dos fatores de risco cardiovascular diferiu entre pacientes &#8805; 60 e &lt; 60 anos de idade. As mulheres apresentaram menor probabilidade de cumprir as metas de LDL-C, GJ e HbA1c.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave</title>
        <kwd>Interven&#231;&#227;o Coron&#225;ria Percut&#226;nea</kwd>
        <kwd>Ponte de Art&#233;ria Coron&#225;ria</kwd>
        <kwd>Revasculariza&#231;&#227;o do Mioc&#225;rdio</kwd>
        <kwd>Fatores de Risco</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>National Nature Science Foundaction of China</funding-source>
          <award-id>81270380</award-id>
        </award-group>
        <funding-statement>O presente estudo foi financiado pelo National Nature Science Foundaction of China (N&#186;. 81270380).</funding-statement>
      </funding-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introdu&#231;&#227;o</title>
        <p>Na China, o n&#250;mero de pacientes submetidos a revasculariza&#231;&#227;o mioc&#225;rdica cresce com o aumento das doen&#231;as cardiovasculares. A interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) e a cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM) s&#227;o os dois principais procedimentos de revasculariza&#231;&#227;o mioc&#225;rdica. Ainda que a ICP e a CRM salvem muitas vidas, n&#227;o evitam a progress&#227;o da aterosclerose arterial, permanecendo altas as taxas de eventos maiores e de revasculariza&#231;&#227;o secund&#225;ria ap&#243;s 5 anos.<xref ref-type="bibr" rid="B1">1</xref> O uso de medicamento secund&#225;rio preventivo &#233; importante para esses pacientes.<xref ref-type="bibr" rid="B2">2</xref><sup>,</sup><xref ref-type="bibr" rid="B3">3</xref>
				</p>
        <p>Cerca de 14.000 pacientes s&#227;o submetidos anualmente a CRM ou ICP no Hospital Beijing Anzhen. Na pr&#225;tica, no entanto, descobrimos que cardiologistas e cirurgi&#245;es card&#237;acos t&#234;m preocupa&#231;&#245;es diferentes quanto ao progn&#243;stico de longo prazo. Isso deve influenciar a prescri&#231;&#227;o de medicamentos de preven&#231;&#227;o secund&#225;ria, levando a um desequil&#237;brio no controle dos fatores de risco relacionados &#224; doen&#231;a arterial coron&#225;ria (DAC), como colesterol da lipoprote&#237;na de baixa densidade (LDL-C), press&#227;o arterial (PA), glicemia de jejum (GJ) e hemoglobina glicada A1c (HbA1c), em pacientes submetidos a ICP ou CRM. Al&#233;m disso, estudos relataram que o controle dos fatores de risco cardiovascular diferiu em diferentes faixas et&#225;rias e conforme o sexo. Levantamos a hip&#243;tese de que pacientes submetidos a CRM, em compara&#231;&#227;o &#224;queles submetidos a ICP, teriam menor probabilidade de atingir as metas de lip&#237;deos, GJ, HbA1c e PA. Avaliamos o cumprimento das metas e desfecho cl&#237;nico de pacientes submetidos a ICP ou CRM, assim como as taxas de cumprimento de meta em pacientes &#8805; 60 anos de idade e &#8805; 60 anos de idade, e em mulheres e homens.</p>
      </sec>
      <sec sec-type="methods">
        <title>M&#233;todos</title>
        <sec>
          <title>Popula&#231;&#227;o do estudo</title>
          <p>Este estudo retrospectivo arrolou 14.230 pacientes submetidos a ICP (n = 9.866) ou CRM (n = 4.364) no Hospital Beijing Anzhen entre 1 de janeiro de 2014 e 31 de dezembro de 2014. A data-&#237;ndice foi a do procedimento de revasculariza&#231;&#227;o. Foram exclu&#237;dos 7.707 pacientes pelos seguintes motivos: idade &lt; 18 anos com hist&#243;ria de revasculariza&#231;&#227;o mioc&#225;rdica, tumor maligno, s&#237;ndrome de disfun&#231;&#227;o de m&#250;ltiplos &#243;rg&#227;os, ou transplante de &#243;rg&#227;o, dados demogr&#225;ficos incompletos, aus&#234;ncia de registro de prescri&#231;&#227;o de medicamento cont&#237;nuo, indisponibilidade da segunda medida de n&#237;vel lip&#237;dico ap&#243;s a data-&#237;ndice. Portanto, este estudo incluiu 6.523 pacientes na an&#225;lise, pareados conforme escore de propens&#227;o.</p>
        </sec>
        <sec>
          <title>Coleta de dados</title>
          <p>Os dados cl&#237;nicos foram recuperados de prontu&#225;rios m&#233;dicos eletr&#244;nicos, sendo que os dados cl&#237;nicos relevantes foram extra&#237;dos at&#233; 31 de dezembro de 2015, o in&#237;cio do per&#237;odo de coleta de dados. Os seguintes dados foram obtidos: idade; sexo; hist&#243;ria da enfermidade atual; comorbidades (hipertens&#227;o, diabetes, acidente vascular encef&#225;lico, doen&#231;a vascular perif&#233;rica, doen&#231;a renal cr&#244;nica); fatores de risco cardiovascular (tabagismo, consumo de &#225;lcool, obesidade); les&#245;es das art&#233;rias coron&#225;rias (SYNTAX Score); n&#237;veis de lip&#237;deos, PA, GJ e HbA1c anteriores &#224; alta e durante o seguimento. Dados sobre morte card&#237;aca, s&#237;ndrome coron&#225;ria aguda (SCA) recorrente, acidente vascular encef&#225;lico, infarto agudo do mioc&#225;rdio (IAM) n&#227;o fatal, e revasculariza&#231;&#227;o foram tamb&#233;m coletados para a an&#225;lise de desfecho. Os desfechos compostos foram definidos como morte card&#237;aca, SCA recorrente e acidente vascular encef&#225;lico. Definiu-se SCA recorrente como IAM recorrente n&#227;o fatal e angina inst&#225;vel. Os n&#237;veis de lip&#237;deos, PA, GJ e HbA1c anteriores &#224; alta foram definidos como aqueles anteriores ao procedimento de revasculariza&#231;&#227;o mioc&#225;rdica, enquanto os n&#237;veis de lip&#237;deos, PA, GJ e HbA1c do seguimento foram definidos como aqueles mais recentes (pelo menos 3 meses ap&#243;s a alta) caso n&#227;o houvesse qualquer evento de desfecho, ou os n&#237;veis de lip&#237;deos, PA, GJ e HbA1c da nova hospitaliza&#231;&#227;o caso houvesse um evento de desfecho. Hipertens&#227;o, diabetes, dislipidemia, acidente vascular encef&#225;lico, doen&#231;a vascular perif&#233;rica, doen&#231;a renal cr&#244;nica, abuso de &#225;lcool e obesidade foram definidos em publica&#231;&#227;o anterior.<xref ref-type="bibr" rid="B4">4</xref> O per&#237;odo de seguimento de cada indiv&#237;duo desde a data da alta at&#233; 31 de dezembro de 2015 foi calculado. O cumprimento de meta de lip&#237;deos foi definido como LDL-C &lt; 1,8 mmol/L (70 mg/dL) e colesterol da n&#227;o lipoprote&#237;na de alta densidade (n&#227;o HDL-C) &lt; 2,6 mmol/L (100 mg/dL),<xref ref-type="bibr" rid="B5">5</xref> ou LDL-C &lt; 2,07 mmol/L (80 mg/dL) e n&#227;o HDL-C &lt; 2,8 mmol/L (110 mg/dL).<xref ref-type="bibr" rid="B6">6</xref> O cumprimento de meta de GJ foi definido como GJ &lt; 7,0 mmol/L, sendo o de HbA1c &lt; 7%. O cumprimento de meta de PA foi definido como PA &lt; 140/90 mmHg.<xref ref-type="bibr" rid="B7">7</xref>
					</p>
          <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica do Hospital Beijing Anzhen.</p>
        </sec>
        <sec>
          <title>M&#233;todos estat&#237;sticos</title>
          <p>Os escores de propens&#227;o foram estimados usando an&#225;lise de regress&#227;o log&#237;stica m&#250;ltipla. Os pacientes submetidos a ICP ou CRM foram pareados 1:1 usando-se o m&#233;todo de pareamento por vizinho mais pr&#243;ximo.</p>
          <p>As vari&#225;veis cont&#237;nuas com distribui&#231;&#227;o normal foram apresentadas como m&#233;dia &#177; desvio-padr&#227;o, e aquelas com distribui&#231;&#227;o n&#227;o normal, como mediana e intervalo interquartil. As vari&#225;veis categ&#243;ricas foram apresentadas como n&#250;meros absolutos e porcentagens. O teste K-S foi usado para verificar a normalidade dos dados. As vari&#225;veis cont&#237;nuas foram comparadas usando-se o teste de postos sinalizados de Wilcoxon ou teste <italic>t</italic> pareado. As vari&#225;veis categ&#243;ricas foram comparadas usando-se o teste do qui-quadrado. Curvas de sobrevida de Kaplan-Meier foram usadas para comparar a incid&#234;ncia acumulada de eventos de desfecho composto. Realizou-se an&#225;lise de regress&#227;o de Cox para avaliar a influ&#234;ncia de covari&#225;veis basais nos desfechos compostos. O teste log-rank foi realizado antes da regress&#227;o de Cox. Vari&#225;veis com valores de P &#8804; 0,10 foram candidatas ao modelo multivariado. As covari&#225;veis inclu&#237;das na an&#225;lise de regress&#227;o de Cox foram: idade, sexo, hipertens&#227;o, diabetes mellitus, dislipidemia, tabagismo, acidente vascular encef&#225;lico, doen&#231;a arterial perif&#233;rica, doen&#231;a renal cr&#244;nica, &#237;ndice de massa corporal (IMC), fra&#231;&#227;o de eje&#231;&#227;o (FE) ventricular esquerda, SYNTAX Score, e cumprimento de meta de LDL-C, GJ, PA e HbA1c. Todas as an&#225;lises foram realizadas com SPSS, vers&#227;o 22.0 (IBM, Armonk, NY, EUA). Todos os testes foram bicaudais, sendo os valores de P &lt; 0,05 considerados estatisticamente significativos.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Resultados</title>
        <sec>
          <title>Caracter&#237;sticas basais</title>
          <p>Um total de 6.523 (ICP = 4.728; CRM = 1.795) pacientes foram avaliados no estudo. Em compara&#231;&#227;o aos pacientes no grupo ICP, os do grupo CRM eram mais idosos, tinham maior probabilidade de apresentar hist&#243;ria de diabetes e acidente vascular encef&#225;lico, menor probabilidade de hist&#243;ria de hipertens&#227;o e dislipidemia, apresentavam n&#237;veis mais baixos de IMC, HDL-C e FE ventricular esquerda, e tinham maior SYNTAX Score. Criou-se um total de 1.790 pares de pacientes ap&#243;s pareamento por escore de propens&#227;o para toda a popula&#231;&#227;o. As caracter&#237;sticas basais n&#227;o diferiram significativamente entre os grupos ICP e CRM ap&#243;s pareamento por escore de propens&#227;o (<xref ref-type="table" rid="t7">Tabela 1</xref>).</p>
          <table-wrap id="t7">
            <label>Tabela 1</label>
            <caption>
              <title>Caracter&#237;sticas basais dos pacientes nos grupos de interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) e cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
              </colgroup>
              <thead>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <th align="left" rowspan="2">
									</th>
                  <th align="center" colspan="3">Popula&#231;&#227;o total</th>
                  <th align="center" colspan="3">Popula&#231;&#227;o pareada por propens&#227;o</th>
                </tr>
                <tr>
                  <th align="left">ICP n = 4728</th>
                  <th align="center">CRM n = 1795</th>
                  <th align="center">Valor de p</th>
                  <th align="center">ICP n = 1790</th>
                  <th align="center">CRM n = 1790</th>
                  <th align="center">Valor de p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Idade (anos)</td>
                  <td align="center">58,9 &#177; 10,2</td>
                  <td align="center">61,9 &#177; 9,0</td>
                  <td align="center">&lt; 0,01</td>
                  <td align="center">62,0 &#177; 9,9</td>
                  <td align="center">61,9 &#177; 9,0</td>
                  <td align="center">0,68</td>
                </tr>
                <tr>
                  <td align="left">Sexo (masculino)</td>
                  <td align="center">3499(74,0)</td>
                  <td align="center">1353(75,4)</td>
                  <td align="center">0,26</td>
                  <td align="center">1369(76,5)</td>
                  <td align="center">1349(75,4)</td>
                  <td align="center">0,43</td>
                </tr>
                <tr>
                  <td align="left">Hipertens&#227;o</td>
                  <td align="center">2394(61,2)</td>
                  <td align="center">1073(59,8)</td>
                  <td align="center">&lt; 0,01</td>
                  <td align="center">1068(59,6)</td>
                  <td align="center">1072(59,9)</td>
                  <td align="center">0,87</td>
                </tr>
                <tr>
                  <td align="left">Diabetes</td>
                  <td align="center">1461(30,9)</td>
                  <td align="center">634(35,3)</td>
                  <td align="center">0,001</td>
                  <td align="center">632(35,3)</td>
                  <td align="center">630(35,5)</td>
                  <td align="center">0,94</td>
                </tr>
                <tr>
                  <td align="left">Dislipidemia</td>
                  <td align="center">3749(79,3)</td>
                  <td align="center">1361(75,8)</td>
                  <td align="center">0,002</td>
                  <td align="center">1360(76,0)</td>
                  <td align="center">1348(75,3)</td>
                  <td align="center">0,64</td>
                </tr>
                <tr>
                  <td align="left">AVE</td>
                  <td align="center">265(5,6)</td>
                  <td align="center">169(9,4)</td>
                  <td align="center">&lt; 0,01</td>
                  <td align="center">150(8,4)</td>
                  <td align="center">168(9,4)</td>
                  <td align="center">0,29</td>
                </tr>
                <tr>
                  <td align="left">DVP</td>
                  <td align="center">52(1,1)</td>
                  <td align="center">23(1,3)</td>
                  <td align="center">0,54</td>
                  <td align="center">27(1,5)</td>
                  <td align="center">23(1,3)</td>
                  <td align="center">0,57</td>
                </tr>
                <tr>
                  <td align="left">DRC</td>
                  <td align="center">33(0,7)</td>
                  <td align="center">9(0,5)</td>
                  <td align="center">0,38</td>
                  <td align="center">7(0,4)</td>
                  <td align="center">9(0,5)</td>
                  <td align="center">0,62</td>
                </tr>
                <tr>
                  <td align="left">Tabagismo</td>
                  <td align="center">2392(50,6)</td>
                  <td align="center">863(48,1)</td>
                  <td align="center">0,07</td>
                  <td align="center">848(47,4)</td>
                  <td align="center">863(48,2)</td>
                  <td align="center">0,62</td>
                </tr>
                <tr>
                  <td align="left">IMC</td>
                  <td align="center">26,5 &#177; 3,4</td>
                  <td align="center">25,4 &#177; 2,9</td>
                  <td align="center">&lt; 0,01</td>
                  <td align="center">25,3 &#177; 3,3</td>
                  <td align="center">25,4 &#177; 2,9</td>
                  <td align="center">0,57</td>
                </tr>
                <tr>
                  <td align="left">FEVE (%)</td>
                  <td align="center">62,2 &#177; 8,3</td>
                  <td align="center">60,4 &#177; 9,0</td>
                  <td align="center">&lt; 0,01</td>
                  <td align="center">60,7 &#177; 9,1</td>
                  <td align="center">60,5 &#177; 9,0</td>
                  <td align="center">0,50</td>
                </tr>
                <tr>
                  <td align="left">SYNTAX Score</td>
                  <td align="center">23,4 &#177; 9,3</td>
                  <td align="center">28,1 &#177; 10,1</td>
                  <td align="center">&lt; 0,01</td>
                  <td align="center">27,8 &#177; 9,3</td>
                  <td align="center">28,0 &#177; 10,2</td>
                  <td align="center">0,19</td>
                </tr>
                <tr>
                  <td align="left" colspan="7">
                    <bold>N&#237;veis de lip&#237;deos antes da alta (mmol/L)</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left">CT</td>
                  <td align="center">4,58 &#177; 0,9</td>
                  <td align="center">4,57 &#177; 1,1</td>
                  <td align="center">0,87</td>
                  <td align="center">4,56 &#177; 1,0</td>
                  <td align="center">4,57 &#177; 1,1</td>
                  <td align="center">0,82</td>
                </tr>
                <tr>
                  <td align="left">TG</td>
                  <td align="center">1,87 &#177; 1,2</td>
                  <td align="center">1,83 &#177; 1,1</td>
                  <td align="center">0,24</td>
                  <td align="center">1,83 &#177; 1,1</td>
                  <td align="center">1,83 &#177; 1,1</td>
                  <td align="center">0,99</td>
                </tr>
                <tr>
                  <td align="left">LDL-C</td>
                  <td align="center">2,86 &#177; 0,8</td>
                  <td align="center">2,88 &#177; 0,9</td>
                  <td align="center">0,52</td>
                  <td align="center">2,87 &#177; 0,8</td>
                  <td align="center">2,88 &#177; 0,9</td>
                  <td align="center">0,75</td>
                </tr>
                <tr>
                  <td align="left">HDL-C</td>
                  <td align="center">1,00 &#177; 0,2</td>
                  <td align="center">0,97 &#177; 0,2</td>
                  <td align="center">&lt; 0,01</td>
                  <td align="center">0,97 &#177; 0,2</td>
                  <td align="center">0,97 &#177; 0,2</td>
                  <td align="center">0,56</td>
                </tr>
                <tr>
                  <td align="left" colspan="7">
                    <bold>N&#237;veis de GJ (mmol/L) e HbA1c (%) antes da alta</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left">GJ</td>
                  <td align="center">6,08 &#177; 1,7</td>
                  <td align="center">5,77 &#177; 1,5</td>
                  <td align="center">0,07</td>
                  <td align="center">5,91 &#177; 1,6</td>
                  <td align="center">5,77 &#177; 1,5</td>
                  <td align="center">0,36</td>
                </tr>
                <tr>
                  <td align="left">HbA1c</td>
                  <td align="center">5,93 &#177; 1,1</td>
                  <td align="center">5,78 &#177; 1,1</td>
                  <td align="center">0,17</td>
                  <td align="center">5,80 &#177; 1,1</td>
                  <td align="center">5,78 &#177; 1,1</td>
                  <td align="center">0,64</td>
                </tr>
                <tr>
                  <td align="left" colspan="7">
                    <bold>Press&#227;o arterial (mmHg) antes da alta</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left">PAS</td>
                  <td align="center">127,65 &#177; 15,4</td>
                  <td align="center">124,04 &#177; 17,7</td>
                  <td align="center">0,13</td>
                  <td align="center">124,5 &#177; 16,3</td>
                  <td align="center">124,04 &#177; 17,7</td>
                  <td align="center">0,91</td>
                </tr>
                <tr>
                  <td align="left">PAD</td>
                  <td align="center">76,54 &#177; 11,3</td>
                  <td align="center">75,35 &#177; 10,6</td>
                  <td align="center">0,04</td>
                  <td align="center">75,04 &#177; 10,3</td>
                  <td align="center">75,35 &#177; 10,6</td>
                  <td align="center">0,32</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN22">
                <p>Valores apresentados como m&#233;dia &#177; desvio-padr&#227;o e mediana com intervalo interquartil ou n (%); AVE: acidente vascular encef&#225;lico; DVP: doen&#231;a vascular perif&#233;rica; DRC: doen&#231;a renal cr&#244;nica; IMC: &#237;ndice de massa corporal; FEVE: fra&#231;&#227;o de eje&#231;&#227;o ventricular esquerda; CT: colesterol total; TG: triglicer&#237;deos; LDL-C: colesterol da lipoprote&#237;na de baixa densidade; HDL-C: colesterol da lipoprote&#237;na de alta densidade; GJ: glicemia de jejum; HbA1c: hemoglobina A1c; PAS: press&#227;o arterial sist&#243;lica; PAD: press&#227;o arterial diast&#243;lica.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Taxas de cumprimento de meta de LDL-C, GJ, HbA1c e PA no total e no pareamento por escore de propens&#227;o de pacientes dos grupos ICP e CRM</title>
          <p>Em compara&#231;&#227;o aos pacientes no grupo CRM, as taxas de cumprimento de meta de LDL-C &lt; 1,8 mmol/L, LDL-C &lt; 2,07 mmol/L e PA &lt; 140/90 mmHg no grupo ICP foram significativamente maiores nos pacientes n&#227;o pareados ap&#243;s a alta. As taxas de cumprimento de meta de GJ e HbA1C n&#227;o diferiram significativamente entre os dois grupos ap&#243;s a alta (<xref ref-type="table" rid="t8">Tabela 2</xref>). Nos pacientes pareados por propens&#227;o, as taxas de cumprimento de meta de LDL-C &lt; 1,8 mmol/L, LDL-C &lt; 2,07 mmol/L e PA &lt; 140/90 mmHg no grupo ICP foram significativamente maiores do que no grupo CRM. As taxas de cumprimento de meta de GJ e HbA1c n&#227;o HbA1c diferiram significativamente entre os dois grupos (<xref ref-type="table" rid="t8">Tabela 2</xref>).</p>
          <table-wrap id="t8">
            <label>Tabela 2</label>
            <caption>
              <title>Taxas de cumprimento de metas de LDL-c, GJ, HbA1c e PA nos grupos de interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) e cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
              </colgroup>
              <thead>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <th align="left">
									</th>
                  <th align="center" colspan="3">Popula&#231;&#227;o total</th>
                  <th align="center" colspan="3">Popula&#231;&#227;o pareada por propens&#227;o</th>
                </tr>
                <tr>
                  <th align="left">Metas dos fatores de risco</th>
                  <th align="center">ICP</th>
                  <th align="center">CRM</th>
                  <th align="center">p</th>
                  <th align="center">ICP</th>
                  <th align="center">CRM</th>
                  <th align="center">p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">LDL-c &lt; 1,8 mmol/L<xref ref-type="table-fn" rid="TFN24">a</xref>
									</td>
                  <td align="center">1352(28,6)</td>
                  <td align="center">443(24,7)</td>
                  <td align="center">0,002</td>
                  <td align="center">522(29,2)</td>
                  <td align="center">442(24,7)</td>
                  <td align="center">0,003</td>
                </tr>
                <tr>
                  <td align="left">LDL-c &lt; 2,07 mmol/L<xref ref-type="table-fn" rid="TFN24">b</xref>
									</td>
                  <td align="center">2055(43,5)</td>
                  <td align="center">708(39,4)</td>
                  <td align="center">0,003</td>
                  <td align="center">787(44,0)</td>
                  <td align="center">707(39,5)</td>
                  <td align="center">0,007</td>
                </tr>
                <tr>
                  <td align="left">GJ &lt; 7 mmol/L<xref ref-type="table-fn" rid="TFN26">c</xref>
									</td>
                  <td align="center">3498(74,2)</td>
                  <td align="center">1342(74,8)</td>
                  <td align="center">0,492</td>
                  <td align="center">1361(76,0)</td>
                  <td align="center">1342 (75,0)</td>
                  <td align="center">0,46</td>
                </tr>
                <tr>
                  <td align="left">HbA1c &lt; 7%c</td>
                  <td align="center">3456(73,1)</td>
                  <td align="center">1321(73,6)</td>
                  <td align="center">0,686</td>
                  <td align="center">1349(75,4)</td>
                  <td align="center">1319(73,7)</td>
                  <td align="center">0,25</td>
                </tr>
                <tr>
                  <td align="left">PA &lt; 140/80 mmHg<xref ref-type="table-fn" rid="TFN27">d</xref>
									</td>
                  <td align="center">4049(85,6)</td>
                  <td align="center">1394(77,7)</td>
                  <td align="center">0,000</td>
                  <td align="center">1525(85,2)</td>
                  <td align="center">1391(77,7)</td>
                  <td align="center">0,000</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN23">
                <p>Valores apresentados como n (%); LDL-C: colesterol da lipoprote&#237;na de baixa densidade; GJ: glicemia de jejum; HbA1c: hemoglobina A1c; PA: press&#227;o arterial.</p>
              </fn>
              <fn id="TFN24">
                <label>a</label>
                <p>Diretriz chinesa de preven&#231;&#227;o e tratamento de dislipidemia em adultos, 2007; </p>
              </fn>
              <fn id="TFN25">
                <label>b</label>
                <p>Diretriz de ESC/EAS para manejo de dislipidemias, 2011; </p>
              </fn>
              <fn id="TFN26">
                <label>c</label>
                <p>Diretriz chinesa de preven&#231;&#227;o e tratamento de diabetes tipo 2, 2013; </p>
              </fn>
              <fn id="TFN27">
                <label>d</label>
                <p>Diretriz chinesa de preven&#231;&#227;o e tratamento de hipertens&#227;o, 2011.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Desfechos cl&#237;nicos</title>
          <p>Em pacientes n&#227;o pareados, as taxas de desfecho composto foram significativamente maiores no grupo ICP do que no grupo CRM (<xref ref-type="table" rid="t10">Tabela 4</xref>). A mediana da dura&#231;&#227;o do seguimento foi de 10,99 meses. Nos pacientes pareados por propens&#227;o, as taxas de desfecho composto n&#227;o diferiram significativamente entre os dois grupos (<xref ref-type="fig" rid="f3">Figura 1</xref>, <xref ref-type="table" rid="t10">Tabela 4</xref>). As taxas de SCA recorrente foram significativamente maiores no grupo ICP do que no grupo CRM tanto nos pacientes pareados quanto naqueles n&#227;o pareados (<xref ref-type="table" rid="t10">Tabela 4</xref>). A incid&#234;ncia de acidente vascular encef&#225;lico foi significativamente maior no grupo CRM do que no grupo ICP (<xref ref-type="table" rid="t4">Tabela 4</xref>). Na an&#225;lise de regress&#227;o de Cox multivariada, LDL-C &lt; 1,8 mmol/L e HbA1c &lt; 7% foram preditores independentes de desfechos compostos no total de pacientes n&#227;o pareados, nos grupos ICP e CRM, sendo as raz&#245;es de risco menores naqueles pacientes que cumpriram as metas (<xref ref-type="table" rid="t9">Tabela 3</xref>). Para determinar se as taxas de desfecho composto nos pacientes pareados de acordo com os grupos ICP e CRM eram consistentes, aplicamos an&#225;lise de subgrupo. Comparados aos pacientes do grupo ICP, os do grupo CRM apresentaram melhor desfecho cl&#237;nico nos subgrupos diabetes, obesidade e pacientes &#8805; 60 anos de idade (<xref ref-type="fig" rid="f4">Figura 2</xref>).</p>
          <table-wrap id="t9">
            <label>Tabela 3</label>
            <caption>
              <title>Preditores independentes de desfecho composto nos grupos de interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) e cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
              </colgroup>
              <thead>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <th align="left">
									</th>
                  <th align="center" colspan="3">Geral</th>
                  <th align="center" colspan="3">ICP</th>
                  <th align="center" colspan="3">CRM</th>
                </tr>
                <tr>
                  <th align="left">Vari&#225;veis</th>
                  <th align="center">HR</th>
                  <th align="center">IC95%</th>
                  <th align="center">p</th>
                  <th align="center">HR</th>
                  <th align="center">IC95%</th>
                  <th align="center">p</th>
                  <th align="center">HR</th>
                  <th align="center">IC95%</th>
                  <th align="center">p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Sexo<xref ref-type="table-fn" rid="TFN29">a</xref>
									</td>
                  <td align="center">0,298</td>
                  <td align="center">(1,08-1,68)</td>
                  <td align="center">0,008</td>
                  <td align="center">0,251</td>
                  <td align="center">(1,01-1,64)</td>
                  <td align="center">0,043</td>
                  <td align="center">0,414</td>
                  <td align="center">(0,87-2,64)</td>
                  <td align="center">0,144</td>
                </tr>
                <tr>
                  <td align="left">ICP vs CRM</td>
                  <td align="center">0,821</td>
                  <td align="center">(1,81-2,85)</td>
                  <td align="center">0,000</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                </tr>
                <tr>
                  <td align="left">Tabagismo<xref ref-type="table-fn" rid="TFN29">a</xref>
									</td>
                  <td align="center">1,692</td>
                  <td align="center">(1,29-2,72)</td>
                  <td align="center">0,000</td>
                  <td align="center">1,783</td>
                  <td align="center">(1,43-3,13)</td>
                  <td align="center">0,000</td>
                  <td align="center">1,113</td>
                  <td align="center">(0,98-1,81)</td>
                  <td align="center">0,754</td>
                </tr>
                <tr>
                  <td align="left">LDL-c &lt; 1.8</td>
                  <td align="center">-2,197</td>
                  <td align="center">(0,07-0,17)</td>
                  <td align="center">0,000</td>
                  <td align="center">-2,329</td>
                  <td align="center">(0,06-0,16)</td>
                  <td align="center">0,000</td>
                  <td align="center">-1,023</td>
                  <td align="center">(0,09-0,45)</td>
                  <td align="center">0,000</td>
                </tr>
                <tr>
                  <td align="left">HbA1c &lt; 7%</td>
                  <td align="center">-0,363</td>
                  <td align="center">(0,58-0,85)</td>
                  <td align="center">0,000</td>
                  <td align="center">-0,403</td>
                  <td align="center">(0,54-0,82)</td>
                  <td align="center">0,000</td>
                  <td align="center">-0,392</td>
                  <td align="center">(0,53-0,88)</td>
                  <td align="center">0,000</td>
                </tr>
                <tr>
                  <td align="left">FE &lt; 40%<xref ref-type="table-fn" rid="TFN30">b</xref>
									</td>
                  <td align="center">-0,241</td>
                  <td align="center">(0,52-1,19)</td>
                  <td align="center">0,252</td>
                  <td align="center">-0,101</td>
                  <td align="center">(0,56-1,47)</td>
                  <td align="center">0,686</td>
                  <td align="center">-0,825</td>
                  <td align="center">(0,20-0,95)</td>
                  <td align="center">0,037</td>
                </tr>
                <tr>
                  <td align="left">Dislipidemia<xref ref-type="table-fn" rid="TFN31">c</xref>
									</td>
                  <td align="center">1,164</td>
                  <td align="center">(0,96-1,45)</td>
                  <td align="center">0,120</td>
                  <td align="center">1,256</td>
                  <td align="center">(1,03-1,63)</td>
                  <td align="center">0,030</td>
                  <td align="center">1,09</td>
                  <td align="center">(0,59-1,43)</td>
                  <td align="center">0,679</td>
                </tr>
                <tr>
                  <td align="left">PA &lt; 140/80 mmHg</td>
                  <td align="center">-0,475</td>
                  <td align="center">(0,32-0,49)</td>
                  <td align="center">0,000</td>
                  <td align="center">-0,432</td>
                  <td align="center">(0,37-0,50)</td>
                  <td align="center">0,000</td>
                  <td align="center">-0,129</td>
                  <td align="center">(0,39-1,76)</td>
                  <td align="center">0,788</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN28">
                <p>Valores apresentados como n (%); IC: intervalo de confian&#231;a; HR: raz&#227;o de risco;</p>
              </fn>
              <fn id="TFN29">
                <label>a</label>
                <p>sexo e tabagismo foram preditores significativos no geral e no grupo ICP; </p>
              </fn>
              <fn id="TFN30">
                <label>b</label>
                <p>FE (fra&#231;&#227;o de eje&#231;&#227;o) &gt; 40% foi preditor significativo no grupo CRM;</p>
              </fn>
              <fn id="TFN31">
                <label>c</label>
                <p>dislipidemia foi preditor significativo no grupo ICP.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <table-wrap id="t10">
            <label>Tabela 4</label>
            <caption>
              <title>Desfechos cl&#237;nicos nos grupos de interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) e cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="11%"/>
                <col width="11%"/>
                <col width="11%"/>
                <col width="11%"/>
                <col width="11%"/>
                <col width="11%"/>
                <col width="11%"/>
                <col width="11%"/>
                <col width="11%"/>
              </colgroup>
              <thead>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <th align="left" rowspan="2">
									</th>
                  <th align="center" colspan="4">Popula&#231;&#227;o total</th>
                  <th align="center" colspan="4">Popula&#231;&#227;o pareada por propens&#227;o</th>
                </tr>
                <tr>
                  <th align="left">ICP</th>
                  <th align="center">CRM</th>
                  <th align="center">HR (IC95%)</th>
                  <th align="center">p</th>
                  <th align="center">ICP</th>
                  <th align="center">CRM</th>
                  <th align="center">HR (IC95%)</th>
                  <th align="center">p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Desfechos compostos</td>
                  <td align="center">424(9,0)</td>
                  <td align="center">101(5,6)</td>
                  <td align="center">1,652(1,32,2,07)</td>
                  <td align="center">0,000</td>
                  <td align="center">126(7,0)</td>
                  <td align="center">101(5,6)</td>
                  <td align="center">1,27 (0,97,1,66)</td>
                  <td align="center">0,09</td>
                </tr>
                <tr>
                  <td align="left">SCA recorrente</td>
                  <td align="center">389(8,2)</td>
                  <td align="center">80(4,5)</td>
                  <td align="center">5,935(4,619,7,626)</td>
                  <td align="center">0,000</td>
                  <td align="center">116(6,5)</td>
                  <td align="center">80(4,5)</td>
                  <td align="center">1,48(1,11,1,99)</td>
                  <td align="center">&lt; 0,01</td>
                </tr>
                <tr>
                  <td align="left">Acidente vascular encef&#225;lico</td>
                  <td align="center">29(0,6)</td>
                  <td align="center">19(1,1)</td>
                  <td align="center">1,535(0,858,2,748)</td>
                  <td align="center">0,146</td>
                  <td align="center">8(6,4)</td>
                  <td align="center">19(1,1)</td>
                  <td align="center">0,42(0,18,0,96)</td>
                  <td align="center">0,03</td>
                </tr>
                <tr>
                  <td align="left">Morte card&#237;aca</td>
                  <td align="center">6(0,1)</td>
                  <td align="center">2(0,1)</td>
                  <td align="center">3,007(0,606,14,917)</td>
                  <td align="center">0,157</td>
                  <td align="center">2(0,1)</td>
                  <td align="center">2(0,1)</td>
                  <td align="center">1,00(0,14,7,11)</td>
                  <td align="center">1,00</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN32">
                <p>Valores apresentados como n (%). Os desfechos compostos inclu&#237;ram s&#237;ndrome coron&#225;ria aguda (SCA) recorrente, acidente vascular encef&#225;lico e morte card&#237;aca. HR: raz&#227;o de risco; IC: intervalo de confian&#231;a.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <p>
            <fig id="f3">
              <label>Figura 1</label>
              <caption>
                <title>Curva de Kaplan-Meier: eventos acumulados de desfecho composto. A taxa de eventos de desfecho composto (morte card&#237;aca/s&#237;ndrome coron&#225;ria aguda recorrente/acidente vascular encef&#225;lico) n&#227;o diferiu significativamente entre os pacientes submetidos a interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) ou cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM).</title>
              </caption>
              <graphic xlink:href="1678-4170-abc-109-05-0466-70153-gf01-pt.jpg"/></fig>
          </p>
          <p>
            <fig id="f4">
              <label>Figura 2</label>
              <caption>
                <title>Compara&#231;&#227;o das raz&#245;es de risco n&#227;o ajustadas de s&#237;ndrome coron&#225;ria aguda recorrente para subgrupos em pacientes pareados por propens&#227;o dos grupos de interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) e cirurgia de revasculariza&#231;&#227;o mioc&#225;rdica (CRM). IC: intervalo de confian&#231;a; IMC: &#237;ndice de massa corporal.</title>
              </caption>
              <graphic xlink:href="1678-4170-abc-109-05-0466-70153-gf02-pt.jpg"/></fig>
          </p>
        </sec>
        <sec>
          <title>Taxas de cumprimento de meta de LDL-C, GJ, HbA1c e PA nos pacientes n&#227;o pareados conforme as faixas et&#225;rias</title>
          <p>Nos pacientes n&#227;o pareados em geral e no grupo ICP, em compara&#231;&#227;o aos pacientes &#8805; 60 anos de idade, os pacientes &lt; 60 anos de idade apresentaram melhores taxas de cumprimento de meta de PA &lt; 140/90 mmHg e piores taxas de cumprimento de meta de LDL-C &lt; 2,07 mmol/L. As taxas de cumprimento de meta de LDL-C &lt; 1,8 mmol/L, GJ &lt; 7 mmol/L e HbA1c &lt; 7% n&#227;o diferiram significativamente. Nos pacientes n&#227;o pareados do grupo CRM, em compara&#231;&#227;o &#224;queles &#8805; 60 anos de idade, os pacientes &lt; 60 anos de idade apresentaram melhores taxas de cumprimento de meta de GJ &lt; 7 mmol/L, HbA1c &lt; 7% e PA &lt; 140/90 mmHg; as taxas de cumprimento de meta de LDL-C &lt; 1,8 mmol/L e LDL-C &lt; 2,07 mmol/L n&#227;o diferiram significativamente entre os dois grupos (<xref ref-type="table" rid="t11">Tabela 5</xref>).</p>
          <table-wrap id="t11">
            <label>Tabela 5</label>
            <caption>
              <title>Taxas de cumprimento de metas de LDL-c, GJ, HbA1c e PA conforme a faixa et&#225;ria (&lt; 60 anos e &#8805; 60 anos) e o sexo</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
                <col width="10%"/>
              </colgroup>
              <thead>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <th align="left">
									</th>
                  <th align="center" colspan="3">Geral</th>
                  <th align="center" colspan="3">ICP</th>
                  <th align="center" colspan="3">CRM</th>
                </tr>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <th align="left" colspan="10">Taxas de cumprimento de metas de LDL-c, GJ, HbA1c e PA por faixa</th>
                </tr>
                <tr>
                  <th align="left">Metas dos fatores de risco</th>
                  <th align="center">&lt; 60</th>
                  <th align="center">&#8805; 60</th>
                  <th align="center">p</th>
                  <th align="center">&lt; 60</th>
                  <th align="center">&#8805; 60</th>
                  <th align="center">p</th>
                  <th align="center">&lt; 60</th>
                  <th align="center">&#8805; 60</th>
                  <th align="center">p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">LDL-c &lt; 1,8 mmol/L<xref ref-type="table-fn" rid="TFN34">a</xref>
									</td>
                  <td align="center">640(26,3)</td>
                  <td align="center">1155(28,3)</td>
                  <td align="center">0,079</td>
                  <td align="center">474(27,0)</td>
                  <td align="center">878(29,6)<xref ref-type="table-fn" rid="TFN39">&#8224;&#8224;</xref>
									</td>
                  <td align="center">0,056</td>
                  <td align="center">166(24,4)</td>
                  <td align="center">277(24,8)</td>
                  <td align="center">0,859</td>
                </tr>
                <tr>
                  <td align="left">LDL-c &lt; 2,07 mmol/L<xref ref-type="table-fn" rid="TFN35">b</xref>
									</td>
                  <td align="center">967(39,7)</td>
                  <td align="center">1796(44,0)</td>
                  <td align="center">0,001</td>
                  <td align="center">703(40,0)</td>
                  <td align="center">1352(45,5)<xref ref-type="table-fn" rid="TFN39">&#8224;&#8224;</xref>
									</td>
                  <td align="center">0,001</td>
                  <td align="center">264(38,9)</td>
                  <td align="center">444(39,8)</td>
                  <td align="center">0,704</td>
                </tr>
                <tr>
                  <td align="left">GJ &lt; 7 mmol/L<xref ref-type="table-fn" rid="TFN36">c</xref>
									</td>
                  <td align="center">1817(74,5)</td>
                  <td align="center">3023(74,0)</td>
                  <td align="center">0,608</td>
                  <td align="center">1278(72,8)</td>
                  <td align="center">2219(74,7)</td>
                  <td align="center">0,138</td>
                  <td align="center">539(79,4)<xref ref-type="table-fn" rid="TFN41">&#8225;&#8225;</xref>
									</td>
                  <td align="center">804(72,0)</td>
                  <td align="center">0,001</td>
                </tr>
                <tr>
                  <td align="left">HbA1c &lt; 7%<xref ref-type="table-fn" rid="TFN36">c</xref>
									</td>
                  <td align="center">1805(72,9)</td>
                  <td align="center">2972(72,7)</td>
                  <td align="center">0,240</td>
                  <td align="center">1266(72,0)</td>
                  <td align="center">2190(73,7)<xref ref-type="table-fn" rid="TFN40">&#8224;</xref>
									</td>
                  <td align="center">0,196</td>
                  <td align="center">539(79,4)<xref ref-type="table-fn" rid="TFN41">&#8225;&#8225;</xref>
									</td>
                  <td align="center">782(70,1)</td>
                  <td align="center">0,001</td>
                </tr>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <td align="left">PA &lt; 140/80 mmHg<xref ref-type="table-fn" rid="TFN37">d</xref>
									</td>
                  <td align="center">2093(85,9)</td>
                  <td align="center">3350(82,0)</td>
                  <td align="center">0,000</td>
                  <td align="center">1541(87,7)<xref ref-type="table-fn" rid="TFN38">*</xref>
									</td>
                  <td align="center">2508(84,4)<xref ref-type="table-fn" rid="TFN39">&#8224;&#8224;</xref>
									</td>
                  <td align="center">0,002</td>
                  <td align="center">552(81,3)</td>
                  <td align="center">842(75,4)</td>
                  <td align="center">0,004</td>
                </tr>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <td align="left" colspan="10">
                    <bold>Taxas de cumprimento de metas de LDL-c, GJ, HbA1c e PA conforme o sexo</bold>
                  </td>
                </tr>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <td align="left">
                    <bold>Metas dos fatores de risco</bold>
                  </td>
                  <td align="center">
                    <bold>Feminino</bold>
                  </td>
                  <td align="center">
                    <bold>Masculino</bold>
                  </td>
                  <td align="center">
                    <bold>p</bold>
                  </td>
                  <td align="center">
                    <bold>Feminino</bold>
                  </td>
                  <td align="center">
                    <bold>Masculino</bold>
                  </td>
                  <td align="center">
                    <bold>p</bold>
                  </td>
                  <td align="center">
                    <bold>Feminino</bold>
                  </td>
                  <td align="center">
                    <bold>Masculino</bold>
                  </td>
                  <td align="center">
                    <bold>p</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left">LDL-c &lt; 1,8 mmol/L<xref ref-type="table-fn" rid="TFN34">a</xref>
									</td>
                  <td align="center">399(24,7)</td>
                  <td align="center">1396(28,5)</td>
                  <td align="center">0,003</td>
                  <td align="center">306(25,5)</td>
                  <td align="center">1046(29,6)</td>
                  <td align="center">0,006</td>
                  <td align="center">93(22,2)</td>
                  <td align="center">350(25,4)</td>
                  <td align="center">0,188</td>
                </tr>
                <tr>
                  <td align="left">LDL-c &lt; 2,07 mmol/L<xref ref-type="table-fn" rid="TFN35">b</xref>
									</td>
                  <td align="center">661(40,9)</td>
                  <td align="center">2102(42,8)</td>
                  <td align="center">0,165</td>
                  <td align="center">502(41,9)</td>
                  <td align="center">1553(44,0)</td>
                  <td align="center">0,197</td>
                  <td align="center">159(38,0)</td>
                  <td align="center">549(39,9)</td>
                  <td align="center">0,502</td>
                </tr>
                <tr>
                  <td align="left">GJ &lt; 7 mmol/L<xref ref-type="table-fn" rid="TFN36">c</xref>
									</td>
                  <td align="center">1152(71,8)</td>
                  <td align="center">3689(75,2)</td>
                  <td align="center">0,002</td>
                  <td align="center">851(71,0)</td>
                  <td align="center">2647(75,0)</td>
                  <td align="center">0,006</td>
                  <td align="center">301(72,0)</td>
                  <td align="center">1042(75,7)</td>
                  <td align="center">0,131</td>
                </tr>
                <tr>
                  <td align="left">HbA1c &lt; 7%<xref ref-type="table-fn" rid="TFN36">c</xref>
									</td>
                  <td align="center">1139(70,4)</td>
                  <td align="center">3638(74,1)</td>
                  <td align="center">0,003</td>
                  <td align="center">832(69,4)</td>
                  <td align="center">2624(74,4)</td>
                  <td align="center">0,001</td>
                  <td align="center">307(73,4)</td>
                  <td align="center">1014(73,6)</td>
                  <td align="center">0,937</td>
                </tr>
                <tr>
                  <td align="left">PA &lt; 140/80 mmHg<xref ref-type="table-fn" rid="TFN37">d</xref>
									</td>
                  <td align="center">1330(82,3)</td>
                  <td align="center">4113(83,8)</td>
                  <td align="center">0,137</td>
                  <td align="center">1019(85,0)</td>
                  <td align="center">3030(85,9)</td>
                  <td align="center">0,457</td>
                  <td align="center">311(74,4)</td>
                  <td align="center">1083(78,6)</td>
                  <td align="center">0,068</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN33">
                <p>Valores apresentados como n (%); LDL-C: colesterol da lipoprote&#237;na de baixa densidade; GJ: glicemia de jejum; HbA1c: hemoglobina A1c; PA: press&#227;o arterial.</p>
              </fn>
              <fn id="TFN34">
                <label>a</label>
                <p>Diretriz chinesa de preven&#231;&#227;o e tratamento de dislipidemia em adultos, 2007;</p>
              </fn>
              <fn id="TFN35">
                <label>b</label>
                <p>Diretriz de ESC/EAS para manejo de dislipidemias, 2011; </p>
              </fn>
              <fn id="TFN36">
                <label>c</label>
                <p>Diretriz chinesa de preven&#231;&#227;o e tratamento de diabetes tipo 2, 2013; </p>
              </fn>
              <fn id="TFN37">
                <label>d</label>
                <p>Diretriz chinesa de preven&#231;&#227;o e tratamento de hipertens&#227;o, 2011;</p>
              </fn>
              <fn id="TFN38">
                <label>*</label>
                <p>pacientes &lt; 60, comparados no grupo CRM, p &lt; 0,01;</p>
              </fn>
              <fn id="TFN39">
                <label>&#8224;&#8224;</label>
                <p>pacientes &#8805; 60, comparados no grupo CRM, p &lt; 0,01; </p>
              </fn>
              <fn id="TFN40">
                <label>&#8224;</label>
                <p>pacientes &#8805; 60, comparados no grupo CRM, p &lt; 0,05; </p>
              </fn>
              <fn id="TFN41">
                <label>&#8225;&#8225;</label>
                <p>pacientes &lt; 60, comparados no grupo ICP, p &lt; 0,01.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Taxas de cumprimento de meta de LDL-C, GJ, HbA1c e PA nos pacientes n&#227;o pareados conforme o sexo</title>
          <p>Nos pacientes n&#227;o pareados em geral e no grupo ICP, em compara&#231;&#227;o &#224;s mulheres, os homens apresentaram melhores taxas de cumprimento de meta de LDL-C &lt; 1,8 mmol/L, GJ &lt; 7 mmol/L e HbA1c &lt; 7%. As taxas de cumprimento de meta de LDL-C &lt; 2,07 mmol/L e PA &lt; 140/90 mmHg n&#227;o diferiram significativamente. No grupo CRM, essas taxas de cumprimento de meta n&#227;o diferiram significativamente entre mulheres e homens (<xref ref-type="table" rid="t11">Tabela 5</xref>).</p>
        </sec>
        <sec>
          <title>Taxas de cumprimento de meta de LDL-C, GJ, HbA1c e PA em pacientes n&#227;o pareados conforme as faixas et&#225;rias e o sexo</title>
          <p>Nos pacientes n&#227;o pareados &#8805; 60 anos de idade, em compara&#231;&#227;o &#224;s mulheres, os homens apresentaram melhores taxas de cumprimento de metas de LDL-C &lt; 1,8 mmol/L, GJ &lt; 7 mmol/L e HbA1c &lt; 7%. As taxas de cumprimento de meta de LDL-C &lt; 2,07 mmol/L e PA &lt; 140/90 mmHg n&#227;o diferiram significativamente. Nos pacientes &lt; 60 anos de idade, essas taxas de cumprimento de meta n&#227;o diferiram significativamente entre mulheres e homens (<xref ref-type="table" rid="t12">Tabela 6</xref>).</p>
          <table-wrap id="t12">
            <label>Tabela 6</label>
            <caption>
              <title>Taxas de cumprimento de metas de LDL-c, GJ, HbA1c e PA conforme o sexo em pacientes &lt; 60 anos e pacientes &#8805; 60 anos de idade</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
                <col width="14%"/>
              </colgroup>
              <thead>
                <tr style="border-bottom-style:solid;border-bottom-width:thin">
                  <th align="left" rowspan="2">Metas dos fatores de risco</th>
                  <th align="center" colspan="3">&lt; 60</th>
                  <th align="center" colspan="3">&#8805; 60</th>
                </tr>
                <tr>
                  <th align="left">Feminino</th>
                  <th align="center">Masculino</th>
                  <th align="center">p</th>
                  <th align="center">Feminino</th>
                  <th align="center">Masculino</th>
                  <th align="center">p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">LDL-c &lt; 1,8 mmol/La</td>
                  <td align="center">81(24,5)</td>
                  <td align="center">559(26,5)</td>
                  <td align="center">0,426</td>
                  <td align="center">318(24,7)</td>
                  <td align="center">837(29,9)</td>
                  <td align="center">0,001</td>
                </tr>
                <tr>
                  <td align="left">LDL-c &lt; 2,07 mmol/Lb</td>
                  <td align="center">120(36,3)</td>
                  <td align="center">847(40,2)</td>
                  <td align="center">0,171</td>
                  <td align="center">541(42,1)</td>
                  <td align="center">1255(44,8)</td>
                  <td align="center">0,100</td>
                </tr>
                <tr>
                  <td align="left">GJ &lt; 7 mmol/Lc</td>
                  <td align="center">239(72,2)</td>
                  <td align="center">1578(74,9)</td>
                  <td align="center">0,290</td>
                  <td align="center">913(71,0)</td>
                  <td align="center">2111(75,4)</td>
                  <td align="center">0,003</td>
                </tr>
                <tr>
                  <td align="left">HbA1c &lt; 7%c</td>
                  <td align="center">232(70,1)</td>
                  <td align="center">1573(74,7)</td>
                  <td align="center">0,076</td>
                  <td align="center">907(70,5)</td>
                  <td align="center">2065(73,8)</td>
                  <td align="center">0,032</td>
                </tr>
                <tr>
                  <td align="left">PA &lt; 140/80 mmHgd</td>
                  <td align="center">277(83,7)</td>
                  <td align="center">1816(86,2)</td>
                  <td align="center">0,217</td>
                  <td align="center">1053(81,9)</td>
                  <td align="center">2297(82,0)</td>
                  <td align="center">0,905</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN42">
                <p>Valores apresentados como n (%). LDL-C: colesterol da lipoprote&#237;na de baixa densidade; GJ: glicemia de jejum; HbA1c: hemoglobina A1c; PA: press&#227;o arterial.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
      <sec sec-type="discussion">
        <title>Discuss&#227;o</title>
        <p>As t&#233;cnicas de ICP e CRM foram desenvolvidas rapidamente no final da d&#233;cada de 1990 na China. O volume de ICP aumentou 30%-50% por ano, atingindo 567583 em 2015, na vanguarda mundial. Com o aprimoramento das t&#233;cnicas cir&#250;rgicas, houve uma grande redu&#231;&#227;o na mortalidade em CRM, tornando-a aceit&#225;vel por um n&#250;mero crescente de pacientes. Embora a ICP e a CRM tenham salvado muitas vidas, persiste o problema de como reduzir a incid&#234;ncia de revasculariza&#231;&#227;o. Portanto, &#233; de particular relev&#226;ncia que se enfatize a preven&#231;&#227;o secund&#225;ria ap&#243;s ICP e CRM.</p>
        <p>No presente estudo, nossos principais achados foram: (a) nos pacientes em geral e naqueles pareados por escore de propens&#227;o, as taxas de cumprimento de meta de lip&#237;deos e PA diferiram entre os grupos ICP e CRM; entretanto, as taxas de cumprimento de meta de LDL-C, GJ, HbA1c e PA n&#227;o foram otimistas em nenhum dos grupos; (b) as taxas de cumprimento de meta de LDL-C e PA no grupo ICP e as taxas de cumprimento de meta de GJ e HbA1c no grupo CRM diferiram entre pacientes &lt; 60 anos de idade e aqueles &#8805; 60 anos de idade; (c) as taxas de cumprimento de meta de LDL-C, GJ e HbA1c foram significativamente menores nas mulheres no grupo ICP, assim como nos pacientes &#8805; 60 anos de idade.</p>
        <p>As taxas de cumprimento de meta de LDL-C e PA no grupo ICP foram significativamente maiores do que as do grupo CRM, sendo uma poss&#237;vel explica&#231;&#227;o a diferen&#231;a no uso da medica&#231;&#227;o e na ades&#227;o &#224; mesma. Hlatky et. al observaram que as taxas de medica&#231;&#227;o de preven&#231;&#227;o secund&#225;ria foram significativamente menores nos pacientes do grupo CRM do que naqueles do grupo ICP, sendo o uso de estatinas significativamente menor nos pacientes do grupo CRM do que naqueles do grupo ICP.<xref ref-type="bibr" rid="B8">8</xref> Entre as poss&#237;veis raz&#245;es para tais disparidades, destacam-se: (a) no nosso hospital, ap&#243;s CRM, alguns pacientes foram cuidados por cirurgi&#245;es, e as estrat&#233;gias de tratamento diferem entre cardiologistas e cirurgi&#245;es card&#237;acos. Os cardiologistas seguem diretrizes e t&#234;m melhor desempenho no uso de medicamentos preventivos do que os cirurgi&#245;es card&#237;acos, que, em geral, prestam mais aten&#231;&#227;o no sucesso da cirurgia, nas complica&#231;&#245;es p&#243;s-operat&#243;rias e na cicatriza&#231;&#227;o da ferida do que na prescri&#231;&#227;o de medicamentos de preven&#231;&#227;o secund&#225;ria e educa&#231;&#227;o para a sa&#250;de antes da alta;<xref ref-type="bibr" rid="B4">4</xref> (b) alguns pacientes podem ter sido acompanhados por cardiologista ap&#243;s a CRM no ambulat&#243;rio; entretanto, os cardiologistas podem ter sido treinados para considerar a CRM como um tratamento mais efetivo ou completo, levando a negligenciarem a preven&#231;&#227;o secund&#225;ria de longo prazo; e (c) os pacientes podem considerar que a CRM seja um tratamento definitivo para a DAC e que os medicamentos n&#227;o sejam mais necess&#225;rios, o que pode reduzir suas visitas m&#233;dicas ambulatoriais, nas quais teriam oportunidade de obter orienta&#231;&#245;es &#250;teis.<xref ref-type="bibr" rid="B9">9</xref> As taxas de cumprimento de meta de GJ e HbA1c foram baixas e n&#227;o diferiram significativamente entre os grupos ICP e CRM. Apenas menos de um ter&#231;o de todos os pacientes diab&#233;ticos atingiram suas metas de GJ e HbA1c. Os hipoglicemiantes n&#227;o fazem parte do tratamento medicamentoso otimizado, que, n&#227;o raro, &#233; o &#250;nico considerado por cardiologistas, que acabam por ignorar o controle da GJ. Outra raz&#227;o poderia ser que, ainda que os pacientes diab&#233;ticos sejam orientados pelo cardiologista e cirurgi&#227;o card&#237;aco a procurar um ambulat&#243;rio de endocrinologia, menos frequentemente o fazem, por j&#225; frequentarem um ambulat&#243;rio.</p>
        <p>A despeito das disparidades entre os pacientes dos grupos ICP e CRM quanto ao controle dos fatores de risco cardiovascular, as taxas de cumprimento de metas de LDL-C, GJ, HbA1c e PA permanecem baixas no grupo ICP, possivelmente porque cardiologistas intervencionistas est&#227;o em geral mais condicionados a considerar a terapia antiplaquet&#225;ria dupla e ignorar o uso de outros medicamentos de preven&#231;&#227;o secund&#225;ria.</p>
        <p>No nosso estudo, considerando-se os pacientes n&#227;o pareados, houve um n&#250;mero significativamente maior de desfechos compostos no grupo ICP do que no grupo CRM. Esse achado foi consistente com o de estudos pr&#233;vios, que sugerem melhores desfechos cl&#237;nicos entre pacientes submetidos a CRM do que entre aqueles submetidos a ICP.<xref ref-type="bibr" rid="B10">10</xref><sup>,</sup><xref ref-type="bibr" rid="B11">11</xref> Considerando-se os pacientes pareados por propens&#227;o, embora a taxa de SCA recorrente tenha sido significativamente maior no grupo ICP, os desfechos compostos n&#227;o diferiram significativamente entre os dois grupos. Na nossa an&#225;lise de regress&#227;o de Cox multivariada, sexo, tabagismo e cumprimento de metas de LDL-c, HbA1c e PA foram preditores independentes para desfechos compostos no grupo ICP, enquanto FE &gt; 40% e cumprimento de metas de LDL-c e PA foram preditores independentes para desfechos compostos no grupo CRM. As taxas de cumprimento de meta de LDL-c e PA foram significativamente maiores no grupo ICP; a taxa de cumprimento de meta de HbA1c, embora n&#227;o significativamente diferente, foi melhor no grupo ICP pareado por propens&#227;o. Os resultados sugerem que preven&#231;&#227;o secund&#225;ria foi importante para reduzir eventos ap&#243;s a revasculariza&#231;&#227;o. Na an&#225;lise de subgrupo pareada por propens&#227;o, os pacientes com diabetes, obesidade e &#8805; 60 anos de idade tiveram melhor desfecho cl&#237;nico no grupo CRM, em concord&#226;ncia com estudos anteriores.<xref ref-type="bibr" rid="B12">12</xref><sup>-</sup><xref ref-type="bibr" rid="B14">14</xref>
				</p>
        <p>A taxa de cumprimento de meta de LDL-C &lt; 2,07 mmol/L de pacientes com SCA no estudo DYSIS-China foi de 29,7%. No nosso estudo, ainda que significativamente melhor, essa taxa permaneceu muito baixa nos grupos ICP e CRM. Estudos anteriores relataram, em pacientes com SCA, n&#237;veis basais de LDL-C mais baixos em chineses do que em ocidentais.<xref ref-type="bibr" rid="B15">15</xref><sup>,</sup><xref ref-type="bibr" rid="B16">16</xref> A diretriz chinesa de manejo de lip&#237;deos recomenda n&#237;vel de LDL-C inferior a 2,07 mmol/L. H&#225; controv&#233;rsia se a meta de LDL-C deve concordar com aquela das diretrizes de manejo de lip&#237;deos dos pa&#237;ses ocidentais (LDL-C &lt; 1,8 mmol/L). Lee et al. observaram que, em compara&#231;&#227;o com o n&#237;vel de LDL-C &lt; 2,6 mmol/L, o n&#237;vel de LDL-C &lt; 1,8 mmol/L n&#227;o melhorou a sobrevida de pacientes com SCA.<xref ref-type="bibr" rid="B17">17</xref> Entretanto, no nosso estudo, o cumprimento de meta de LDL-C &lt; 1,8 mmol/L foi um preditor independente de diminui&#231;&#227;o do risco de desfecho composto,<xref ref-type="bibr" rid="B18">18</xref> sugerindo que, no futuro, a meta de LDL-C da diretriz chinesa de manejo de lip&#237;deos seja consistente com aquela dos pa&#237;ses ocidentais.</p>
        <p>No grupo ICP, a taxa de cumprimento de meta de PA foi maior nos pacientes &lt; 60 anos de idade do que naqueles &#8805; 60 anos de idade, enquanto as taxas de cumprimento de meta de GJ e HbA1c foram maiores nos pacientes &lt; 60 anos de idade no grupo CRM. Em concord&#226;ncia com estudos pr&#233;vios, esses resultados indicam que pacientes mais idosos sempre subutilizam os medicamentos de preven&#231;&#227;o secund&#225;ria recomendados, tendo baixa ades&#227;o ao tratamento com os mesmos,<xref ref-type="bibr" rid="B19">19</xref> o que leva a pior cumprimento de meta de fator de risco. Entretanto, o cumprimento de meta de LDL-C foi bem melhor nos pacientes &#8805; 60 anos de idade. Esse resultado diferiu daqueles da maioria dos estudos anteriores, mas foi consistente com o de Rajendran et al.,<xref ref-type="bibr" rid="B20">20</xref> que relataram maior frequ&#234;ncia de cumprimento de meta de lip&#237;deos entre pacientes mais idosos do que entre os mais jovens. Esses resultados podem sugerir que os cl&#237;nicos no nosso hospital estejam percebendo cada vez mais a import&#226;ncia do tratamento com estatina. Hogh et al.,<xref ref-type="bibr" rid="B21">21</xref> descobriram que as diferen&#231;as relativas a idade no uso de medicamentos de preven&#231;&#227;o secund&#225;ria foram reduzidas ou at&#233; eliminadas, sugerindo que as disparidades no cumprimento de meta de fator de risco ser&#227;o eliminadas com o tempo. O motivo da inconsist&#234;ncia quanto ao cumprimento de meta de fator de risco entre os grupos ICP e CRM em diferentes grupos et&#225;rios permanece pouco claro, mas os resultados sugerem que devemos dar mais aten&#231;&#227;o aos pacientes mais idosos na preven&#231;&#227;o secund&#225;ria.</p>
        <p>Considerou-se que mulheres tinham menor probabilidade de cumprir suas metas de fator de risco cardiovascular, pois t&#234;m menor probabilidade de tomar os medicamentos de preven&#231;&#227;o secund&#225;ria por raz&#245;es diversas. Por exemplo, os n&#237;veis decrescentes de estrog&#234;nio, maior n&#250;mero de eventos adversos e pobre ades&#227;o devem influenciar o uso de medicamentos.<xref ref-type="bibr" rid="B22">22</xref> Entretanto, em seu estudo, Jankowski et al.,<xref ref-type="bibr" rid="B23">23</xref> descobriram que a frequ&#234;ncia de cumprimento das metas recomendadas na preven&#231;&#227;o secund&#225;ria n&#227;o se relacionou ao sexo dos pacientes. No nosso estudo, as taxas de cumprimento de meta de LDL-C, GJ e HbA1c foram significativamente maiores entre os homens do que entre as mulheres no grupo ICP e em pacientes &#8805; 60 anos de idade. Esse resultado sugere que devamos prestar aten&#231;&#227;o &#224;s mulheres mais idosas durante o processo de preven&#231;&#227;o secund&#225;ria, garantindo que recebam o tratamento otimizado.</p>
        <sec>
          <title>Limita&#231;&#245;es do estudo</title>
          <p>Nosso estudo apresenta v&#225;rias limita&#231;&#245;es. Teve um desenho observacional monoc&#234;ntrico e foi realizado em um grande hospital cardiovascular na China, sendo que as estrat&#233;gias cl&#237;nicas de cardiologistas e cirurgi&#245;es podem diferir daquelas de outros hospitais na China. Embora tendo realizado pareamento por escore de propens&#227;o para ajustar para potenciais fatores de confus&#227;o nos pacientes dos grupos ICP e CRM, houve vi&#233;s de sele&#231;&#227;o inicial e algumas vari&#225;veis n&#227;o foram medidas.</p>
        </sec>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclus&#227;o</title>
        <p>Nossa pesquisa mostrou a exist&#234;ncia de disparidade entre os pacientes dos grupos ICP e CRM quanto ao cumprimento de meta dos fatores de risco para DAC. A preven&#231;&#227;o secund&#225;ria &#233; cr&#237;tica para a redu&#231;&#227;o de desfechos ap&#243;s revasculariza&#231;&#227;o. Al&#233;m disso, o cumprimento das metas dos fatores de risco diferiu entre pacientes &#8805; 60 e &lt; 60 anos de idade, mulheres e homens, sugerindo que cardiologistas e cirurgi&#245;es card&#237;acos devam prestar mais aten&#231;&#227;o a esses grupos de pacientes, tomando decis&#245;es cl&#237;nicas corretas no processo de preven&#231;&#227;o secund&#225;ria, garantindo, assim, a tais pacientes melhor progn&#243;stico e maiores benef&#237;cios cl&#237;nicos.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="financial-disclosure">
          <p>
            <bold>Fontes de financiamento</bold>
          </p>
          <p>O presente estudo foi financiado pelo National Nature Science Foundaction of China (N&#186;. 81270380).</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Vincula&#231;&#227;o acad&#234;mica</bold>
          </p>
          <p>N&#227;o h&#225; vincula&#231;&#227;o deste estudo a programas de p&#243;s-gradua&#231;&#227;o.</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
